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Review

Targets of Immune Escape Mechanisms in Cancer: Basis for Development and Evolution of Cancer Immune Checkpoint Inhibitors

1
The Center for Immunotherapy & Precision Immuno-Oncology (CITI), Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
2
Department of Biochemistry, All India Institute of Medical Sciences, Deoghar 814152, India
3
Department of Medicine, Weill Cornell Medicine, New York, NY 10021, USA
4
Department of Radiation Oncology, Weill Cornell Medicine, New York, NY 10065, USA
5
Department of Cardiothoracic and Vascular Surgery, Albert Einstein College of Medicine, Bronx, NY 10461, USA
*
Authors to whom correspondence should be addressed.
Biology 2023, 12(2), 218; https://doi.org/10.3390/biology12020218
Submission received: 26 December 2022 / Revised: 22 January 2023 / Accepted: 27 January 2023 / Published: 30 January 2023
(This article belongs to the Special Issue Progression of the Immune Escape Mechanism in Tumors)

Abstract

:

Simple Summary

The tumor immune escape mechanisms are key factors in cancer progression and metastasis. They are an undeniable hurdle for successful cancer treatment in patients. It has been widely recognized that cancer cells can escape immune surveillance and antitumor immunity. Despite host immunity, tumor cells can escape antitumor immune cell responses by several different mechanisms, such as the loss of the antigen presentation capacity by some immune cells, which promotes tumor progression and resistance to immunotherapy. A few monotherapies or combinational therapies have been approved for use in cancer treatment, but the majority of patients are not responsive to currently used immunotherapies, thus presenting a need to discover new targets to achieve efficacious immune responses to benefit cancer patients. This review focuses on some of the most important classical immune checkpoint targets and also sheds light on some of the recently discovered, promising immunotherapeutic targets and strategies.

Abstract

Immune checkpoint blockade (ICB) has emerged as a novel therapeutic tool for cancer therapy in the last decade. Unfortunately, a small number of patients benefit from approved immune checkpoint inhibitors (ICIs). Therefore, multiple studies are being conducted to find new ICIs and combination strategies to improve the current ICIs. In this review, we discuss some approved immune checkpoints, such as PD-L1, PD-1, and CTLA-4, and also highlight newer emerging ICIs. For instance, HLA-E, overexpressed by tumor cells, represents an immune-suppressive feature by binding CD94/NKG2A, on NK and T cells. NKG2A blockade recruits CD8+ T cells and activates NK cells to decrease the tumor burden. NKG2D acts as an NK cell activating receptor that can also be a potential ICI. The adenosine A2A and A2B receptors, CD47-SIRPα, TIM-3, LAG-3, TIGIT, and VISTA are targets that also contribute to cancer immunoresistance and have been considered for clinical trials. Their antitumor immunosuppressive functions can be used to develop blocking antibodies. PARPs, mARTs, and B7-H3 are also other potential targets for immunosuppression. Additionally, miRNA, mRNA, and CRISPR-Cas9-mediated immunotherapeutic approaches are being investigated with great interest. Pre-clinical and clinical studies project these targets as potential immunotherapeutic candidates in different cancer types for their robust antitumor modulation.

1. Introduction

The progression of tumor growth and metastasis is dependent upon a complex interplay between the host immune system and counter-regulatory immune escape pathways implemented by the tumor itself. The host immune system possesses a strong surveillance system that recognizes and eliminates malignant cells and thus forms the basis of cancer immunotherapy, which focuses on boosting such antitumor immune responses to halt cancer progression [1,2,3]. However, the tumor cells gradually develop mechanisms to escape this immune surveillance, which is termed “cancer immunoediting”, to prevent elimination from immune cells with antitumor properties [4]. In general, tumor cells undergo many genetic and epigenetic changes, resulting in the formation of neoantigens, which in turn trigger T cells [5]. This generates a population of cytotoxic T lymphocytes (CTLs), which effectively coordinates to recognize and kill cancer cells [6]. The immune checkpoint molecules are targeted by cancer cells to inhibit T cell activation and upregulate negative signals through cell surface molecules to facilitate cancer progression and metastasis [7]. Some tumor cells may also activate immunosuppressive leukocytes to create a tumor microenvironment that poorly responds to antitumor immune molecules [8]. Several clinical trials and studies are now trying to utilize checkpoint pathways inhibiting antibodies to counteract the immune escape phenomenon and subsequently treat cancers. Research on negative immunomodulation won James P Allison and Tasuku Honjo the Nobel Prize in Physiology/Medicine in 2018. Their research showed that programmed cell death protein 1 (PD-1), along with programmed death ligand 1 (i.e., PD-L1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), blocked immune checkpoints, resulting in the reactivation of T cells and subsequent effective malignant cell elimination [9]. T cell activity at an early stage is principally regulated by CTLA-4, whereas PD-1 mainly acts at a later stage in modulating the tumor microenvironment by restricting the action of T cells [10]. Hence, in developing an effective immunotherapy, PD-1 and its ligands have emerged as very important new targets. A few monotherapies, such as PD-1, or combinational therapies have been approved for use in cancer treatment [11,12,13]. Though immune checkpoint blockade (ICB) has been used as a strategy to boost antitumor immunity and decrease the tumor burden, its successes are unfortunately still restricted to a small number of cancer patients [14]. Relevant efforts are ongoing to overcome this and discover other immune checkpoints to improve the patient response to immunotherapy. To achieve this aim, novel immune checkpoints have been identified and are emerging as successful and promising targets in cancer immunotherapy [11,12,13]. Multiple studies have been conducted to find strategies for improving the response to ICB therapy. For example, NKG2A, the newly discovered inhibitory receptor expressed on subsets of cytotoxic lymphocytes, engages with the non-classical molecule HLA-E. Blocking NKG2A helps to recruit CD8+ T cells and activated NK cells in the tumor microenvironment [15,16,17]. Here, we highlight traditional immune checkpoint inhibitors (ICIs) that are already in use in clinical settings and, additionally, newer, and emerging targets that show promising pre-clinical and clinical results.

2. Overview of Immune Checkpoint Inhibitors

2.1. PD-1/PD-L1 Axis as an Immune Checkpoint Target

2.1.1. PD-1/PD-L1: Structure, Function, and Overview of Pathway

In the tumor microenvironment, the PD-1/PD-L1 pathway is a vital regulator for inducing and maintaining immune tolerance [18]. PD-1 is a type 1 trans-membrane protein, belonging to the extended group of the CD28/CTLA-4 immunoglobulin (Ig) family [19]. The 288-amino-acid-long PD-1 protein possesses an extracellular Ig-V-like N-terminal domain, a hydrophobic transmembrane region, and an intracellular cytoplasmic tail with two potential phosphorylation sites within two tyrosine residues: namely an immune receptor tyrosine-based inhibitory motif (ITIM) and immune receptor tyrosine-based switch motif (ITSM) [20]. Several mutagenetic studies have shown that the inhibitory effect of PD-1 on T cells is mediated by activated ITSM [21]. Being involved in the inhibition of both innate and adaptive immunity, PD-1 is expressed on activated T cells, B cells, natural killer (NK) cells, monocytes, dendritic cells (DCs), and several tumor-infiltrating lymphocytes (TILs) [22]. It is also shown to be expressed in regulatory T cells (Tregs), where it augments their proliferation and inhibits the immune response [23].
There are two ligands for PD-1, namely PD-L1 (also named B7-1; CD 274) and PD-L2 (B7-DC; CD273). Pancreatic islet cells, the vascular endothelium, antigen presenting cells (APC) such as DCs and macrophages, resting T cells, and B cells are shown to express PD-L1. PD-L1 expression is conspicuous in multiple tumors, such as gastric cancers, leukemias, melanomas, non-small cell lung cancer, renal cell carcinoma, and many other cancers [24,25,26]. PD-L2 is usually expressed in APC and is far less expressed in tumor cells compared to PD-L1 [27,28]. PD-L2 binds to PD-1 with three-times more affinity than PD-L1.
Several pro-inflammatory molecules, including interferon-γ (IFN-γ), cytokines such as interleukin-10 (IL-10), interleukin-4 (IL-4), tumor necrosis factor-α (TNF-α), and vascular endothelial growth factor (VEGF), play a significant role in upregulating the expression of PD-L1 [29,30]. Protein kinase D isoform 2 (PKD2) is an important regulator of PD-L1 and this enzyme is induced by IFN-γ, making PKD2 a strong targetable candidate for inhibition to enhance the antitumor immune response [30,31]. The inherent immune response is evident from the regulation of PD-L1 expression by oncogenes and its suppression by the tumor suppressor gene PTEN. Different studies have shown that PTEN deletion in neuroglioma cells increases PD-L1 expression via the activation of the PI3K/AKT downstream mTOR-S6K1 signaling pathway [32]. Alternatively, one of the studies using murine mechanistic models showed that PD-L1 induction in the melanoma tumor microenvironment is mediated by CD8+ T cells and IFN-γ, highlighting that, in some cases, upregulation of PD-L1 is independent of regulation by oncogenes, rather related to CD8+ T cells [24]. Thus, it is evident that PD-L1 functions as a pro-tumorigenic factor via its attachment to different receptors, leading to the activation of signaling pathways related to survival and proliferation [33]. PD-L1 can also exert non-immune proliferative effects on certain types of cancer, such as that in renal cell carcinoma [34]. Epithelial-to-mesenchymal transition (EMT) and stem-cell-like phenotypes are shown to be induced by PD-L1, promoting renal cancer progression [35].
The PD-1/PD-L1 pathway decreases the T cell response by regulating overlapping signals in immune checkpoint gateways. Immune self-tolerance is maintained by the inhibitory immune activity of Tregs that highly express PD-1. In normal conditions, this self-tolerating activity is important to prevent healthy tissue damage during the activation of the immune system by any infection [36]. Cancer cells utilize this machinery to escape the immune system. PD-L1 and PD-L2 expressed by tumor cells bind to the PD-1 receptor on T cells, causing the inhibition of T cell activation, and the subsequent T cell attack is prevented, providing tumor cells with a means to escape the body’s immune surveillance and develop a tumor microenvironment beneficial for its uncontrolled proliferation [37] (Figure 1).

2.1.2. Relationship among Signaling Pathways and PD-1/PD-L1 in Cancer

Different signaling pathways exert their effects on the PD-1/PD-L1 axis, resulting in modulating the progression of tumorigenesis in a variety of cancers. The PI3K/AKT pathway is involved in the regulation of apoptosis and cell proliferation mechanisms [38] and the mammalian target of rapamycin (mTOR) pathway is shown to regulate the immune and adaptive immune systems [39]. In gastrointestinal stromal tumors, it has been shown that the apoptosis of CD8+ T cells can be attenuated by blocking the PD-1/PD-L1 axis, acting through the regulation of the PI3K/AKT/mTOR pathway [40,41].
MAPK is also shown to be associated with PD-L1 expression in lung adenocarcinoma, where inhibition of the MAPK pathway prevented the upregulation of PD-L1 protein and IFN-γ-induced CD274 mRNA [42]. When the MAPK pathway is inhibited, it leads to the markedly reduced expression of PD-L1 in renal cell carcinoma [43]. Recent reports have shown that the JAK-STAT pathway is linked to PD-L1 upregulation, as evidenced by the suppression of PD-L1 upregulation by AG490, a JAK-2 inhibitor molecule [44]. Many studies have shown that abnormal wingless-related integration site (WNT) signals can promote immune escape and lead to resistance developed against different types of immunotherapies [45]. Functional crosstalk between WNT activity and PD-L1 expression is the basis for the use of selective WNT activators or inhibitors to up- or downregulate PD-L1 expression, respectively, in triple-negative breast cancer (TNBC) stem cells, holding the promise of immunotherapy for this cancer [46]. The nuclear factor kappa beta (NF-κβ) is known to modulate IFN-γ-induced PD-L1 expression [47]. In ovarian cancer, chemotherapy is shown to induce PD-L1 upregulation mediated via the NF-κβ pathway [48]. It has been recently reported that Hedgehog signaling helps to induce PD-1/PD-L1 signaling in gastric carcinoma, making the Hedgehog pathway a potential therapeutic target to tackle gastrointestinal cancer [49].
Many other mechanisms regulate PD-1/PD-L1 expression. Several studies have tried to find the association between different miRNAs and PD-1/PD-L1 pathways in the regulation of tumor escape. The regulatory effect of miRNAs takes place by direct binding to the mRNA of PD-L1, as well as indirect regulation of PD-L1 expression. In parallel, recent studies have also shown that a small group of lung cancer patients with low PD-1 expression and high miR-33a levels had a better treatment outcome, indicating the better prognostic value of miR-33a via PD-1 regulation. Hence, this novel mechanism of tumor immune evasion regulated by miR-33a via PD-1/PD-L1 holds great promise as a therapeutic target [50,51].
MiRNAs, such as miRNA28 and miRNA-138, inhibit PD-1 expression in melanoma, glioblastoma, and hepatic cell carcinoma, respectively. Additionally, miRNA15a-bmiRNA16 and miRNA193-3p; miRNA34a-b-c; the cluster of miRNA25, miRNA93, and miRNA106b, 138-5p, 142-5p, and 146-a; miRNA152, miRNA200, and miRNA424 abrogate PD-L1 expression in many different cancer types [52,53,54,55,56,57,58,59,60,61,62].
Furthermore, the regulation of PD-1/PD-L1 expression at the RNA level is also due to the activity of long noncoding RNAs (lncRNAs). For instance, lncRNAs MALAT1, SNHG12, CASC11, PMSB8-AS1, FGD5-AS1, and PCED1B-AS1 increase PD-L1 expression. Interestingly, PCED1B-AS1 transport by exosomes from hepatocellular carcinoma (HCC) cells regulates PD-L1 and PD-L2 in the recipient cells once uptaken [62,63,64,65,66,67]. In addition, the expression of PD-L1 is shown to be induced by the secretion of cytokines by monocytes stimulated by the non-coding small RNA Yh4 in exosomes, acting via the toll-like receptor 7 (TLR7) pathway [68]. Polarization of macrophages to the M2 phenotype can be brought about by tumor-derived exosomes, and this leads to the increased expression of PD-L1 via STAT3 phosphorylation in M2 macrophages, with a further enhancement in immunosuppressive effects [69]. It has also been shown that tumor-derived exosomes having PD-L1 protein exert strong immunosuppressive effects [70]. On the contrary, RNAs NKX2-1-AS1 reduce PD-L1 expression [71]. A specialized class of non-coding RNA molecules with a closed-loop structure, circRNAs are rich in miRNA binding sites and can rescue the target gene from miRNA inhibition by acting as miRNA sponges [72,73,74,75]. One of the initial studies exemplifying the regulation of PD-L1 expression by circRNA was that of Hsa_circ_0020397 (circRNA molecule), exerting an RNA sponge effect and inhibiting the activity of miR-138, leading to an enhancement in PD-L1 expression [76]. Moreover, IFN-γ-dependent PD-L1 expression in xenograft tumors in vivo was induced by anti-lnc RNA urothelial carcinoma-associated 1 (UCA1) targeted therapy [77].

2.1.3. Treatments Targeted at PD-1/PD-L1 Pathway: Role in Cancer Immunotherapy

Researchers have shown recently that cancer immunotherapy targeting the PD-1/PD-L1 pathway has led to an effective and durable antitumor immune response with much lower toxicity in a variety of cancer types [78]. Targeting of the PD-1/PD-L1 signaling pathways is mainly performed to normalize the immune system, rather than a simple enhancement in immune cells in tumors [79]. Anti-PD-1 antibodies have been approved by the FDA since 2014 and are being used in certain cancers. Nivolumab, a human monoclonal anti-PD-1 antibody, has been approved for use in unresectable or metastatic melanoma [80], metastatic NSCLC [81], Hodgkin’s lymphoma [82], and hepatocellular carcinoma [83]. Pembrolizumab, another human monoclonal anti-PD-1 antibody, has been approved for the treatment of metastatic melanoma and sometimes for non-Hodgkin’s lymphoma and head and neck squamous cell carcinoma [84,85,86]. In addition, anti-PD-1 Cemiplimab is a therapeutic agent for advanced cutaneous squamous cell carcinoma [87]. In parallel, several anti-PD-L1 monoclonal antibodies have also been made commercially available for use. Atezolizumab has been used for urothelial carcinoma, renal cancer, bladder transitional cell carcinoma, and breast cancer [88,89,90]. Avelumab, another anti-PD-L1, reactivates T cells and induces antibody-dependent cell-mediated cytotoxicity (ADCC) via its native Fc region. It has been recommended for use in Merkel cell carcinoma [91]. Duravulumab, another monoclonal anti-PD-L1 antibody blocking PD-L1/PD-1 interaction, prevents the immune escape of tumors. It has been used for the treatment of HNSCC [92] (for more key clinical studies, please refer to Table 1).

2.2. Cytotoxic T Lymphocyte-Associated Antigen (CTLA-4) as an Immune Checkpoint Target

2.2.1. Structure and Basic Role of CTLA-4 in Immune Checkpoint

CTLA-4 (also known as CD152) is a transmembrane protein that has an extracellular surface receptor and a cytoplasmic domain having two tyrosine motifs mediating signal transduction. The surface receptor closely resembles CD28, which facilitates competitive binding [93]. CTLA-4 is normally expressed in Treg cells and T-anergic cells [93], but Treg cells constitutively express CTLA-4 due to increased levels of FoxP3 [94,95,96]. Regulation of T cell function and prevention of immune cell-mediated damage of normal tissues is mediated by CTLA-4 [93]. Activation of T cell receptor (TCR) leads to the trafficking of CTLA-4 to the cell membrane mediated by T-cell interacting molecules (TRIM), a unique disulfide-linked dimer associated with the TCR-CD3-zeta complex. It further becomes phosphorylated and remains attached to the cell surface [97]. Being a cell surface receptor related to CD28, CTLA-4 binds to ligands CD80 and CD86 on antigen-presenting cells (APCs) [98]. In naïve T cells, CTLA-4 is not detectable but it is highly induced upon T cell activation and as such acts as a primary regulator of T cell amplitude in lymphoid organs during the early priming phase [97,99]. CD28 receptors present on T cells bind to B7 ligands on APCs during the process of T cell activation and hence provide the second activation signal to T cells [100]. Studies have shown that CTLA-4 receptors outcompete CD28 receptors in binding to B7 ligands and hence there is an absence of the second activation signal in the presence of CTLA-4 receptors, leading to anergy in T cells [101,102,103]. Besides having higher affinity towards B7 ligands compared to CD28, CTLA-4 receptors have also been demonstrated to sequester B7 ligands from the surfaces of the APCs, leading to a substantial decrease in ligands on their surfaces. Hence, it is obvious that whether a T cell will be activated or enter anergy depends to a great extent on the relative amount of CD28:B7 binding versus CTLA-4:B7 binding [98]. Multiple interactions with GRB2, PI3K, PKC, PTPN11, filamin A, ZAP70, and PP2A have been reported for CTLA-4, all of which are pivotal for inhibitory response initiation within T cells [14] (Figure 1). Activation of CTLA-4 has been shown to inhibit interleukin-2 (IL-2) production and T cell proliferation and induce cell cycle arrest by mediating crosstalk with other pathways linked to cell proliferation and survival, such as the NF-κβ, PI3K, and MAP kinase pathways [104,105,106,107,108].

2.2.2. Negative Co-Stimulation Mediated by CTLA-4

CTLA-4 not only primarily regulates T cell activity at the sites of T cell priming but also attenuates T cell activation in peripheral tissues. Indeed, CTLA-4 is critical for “tolerance”, a fact substantiated by the experimental finding that the biallelic deletion of the Ctla4 gene led to massive lymphoproliferative disorder in mice [109,110,111]. Besides cell-intrinsic mechanisms for the regulation of T cell activity, CTLA-4 can also act via cell-extrinsic mechanisms. Studies have demonstrated the existence of these cell-extrinsic mechanisms by showing that lethal lymphoproliferation after the genetic deletion of Ctla4 can be prevented by CTLA-4-competent T cells [112]. Tregs have been shown to be the main mediators of the cell-extrinsic suppressive function of CTLA-4 [113,114]. Additionally, it has been shown that CTLA-4 can limit the availability of B7 ligands through trans-endocytosis from APCs [115]. Research has shown that in Tregs, genetic loss of CTLA-4 during adulthood confers resistance to experimental autoimmune encephalitis, which suggests that the unrestrained peripheral expansion of Tregs and/or increased activation of Tregs can prevent autoimmunity [116]. More work needs to be done to understand to what extent tumor immunity is regulated by T cell tolerance mediated by cell-extrinsic processes.

2.2.3. Therapeutic Potential of CTLA-4 Blockade Therapy in Cancer

Studies on murine tumor models highlighted the noteworthy anticancer potential of CTLA-4 blockade, which led to the promotion of anti CTLA-4 antibodies [117]. As early as 1996, one study showed that when mice with pre-established tumors were injected with anti-CTLA-4 antibody, tumor growth was reduced significantly [118]. Primarily, the direct blockade of CTLA-4 removes competition for B7-1 and B7-2 costimulatory ligands, allowing unrestrained CD-28-mediated positive co-stimulation [119]. Blocking CTLA-4 affects the immune priming phase by reducing the Treg-mediated suppression of T cell responses and by supporting the activation and proliferation of an increased number of effector T cells irrespective of TCR specificity [101]. Ipilimumab, the first immune checkpoint inhibitor and CTLA-4 blocker to receive FDA approval, has been successfully used for the treatment of metastatic melanomas [120]. Ipilimumab has been approved for use along with PD-L1 inhibitor nivolumab for the treatment of unresectable melanoma, renal cell carcinoma, and other tumors [121]. Tremelimumab is another CTLA-4 blocker acting similarly to ipilimumab and thereby inhibiting CTLA-4-mediated immune cell inactivation by blocking the interaction between CD28 and CTLA-4 [122]. Being considered an orphan drug for the treatment of malignant mesothelioma, tremelimumab has been considered to be used along with several immunomodulatory agents in several other cancers [118]. CTLA-4 blockade has been postulated to modulate the T cell repertoire, as is evident from the remodeling and broadening of the peripheral TCR repertoire with the use of ipilimumab [123,124]. Further studies are required to understand the precise mechanisms of the benefits rendered by CTLA-4 blockade and to make it more suitable as a combination therapy with other immune checkpoint inhibitors (for more key clinical studies, please refer to Table 1).

2.3. HLA-E/NKG2A Axis as an Immune Checkpoint Target

2.3.1. Relationship between Tumor Microenvironment and HLA-E

The human leukocyte antigen (HLA) is also known as the human version of the major histocompatibility complex (MHC). MHC is in turn divided into classes I and II. HLA-E is a non-classical MHC class I molecule that plays a critical role in the immune response by both inhibiting and activating the function of NK cells and T cells [125]. Immunosuppression occurs upon its binding to inhibitory NKG2A receptors on both T cells and NK cells. Inhibiting this interaction between HLA-E and NKG2A can serve as a potential immunotherapeutic strategy [125].
Moreover, MHC class I includes three major and three minor genes in the HLA locus. HLA-A, HLA-B, and HLA-C belong to major MHC class I, whereas HLA-E, HLA-F, and HLA-G are minor genes. HLA class I is constitutively expressed on all cell types, including tumor cells. It presents endogenous processed antigens to the immune system, regulating CD8+ T cell and NK cell activation. HLA class II is expressed by APCs and presents exogenous antigens to T helper cells [126]. In cancer, HLAs present tumor antigens, which are recognized by T cells, to facilitate the immune system to recognize tumor cells [127]. Since classical HLA class I molecules are recognized by tumor-specific cytotoxic CD8+ T lymphocytes, the downregulation or loss of HLA class I molecules will enable tumors to escape from T-cell-mediated immune responses [128]. It has been reported that class I molecules can function as tumor suppressor genes in melanoma. Downregulating the class I gene enhanced the carcinogenicity of cells and allowed melanoma cells to enhance their proliferation, migration, and invasion [129,130].
In cancers, classical HLA class I molecules are lost to prevent T-cell-mediated recognition but, interestingly, the expression of HLA-E molecules is enhanced [131,132,133,134]. HLA-E functions as an immunomodulatory molecule by binding to the receptors CD94/NKG2A, -B, and -C on NK and T cells [135,136,137,138]. NKG2A belongs to the NKG2 family protein, a transmembrane C-type lectin-like receptor superfamily, also known as CD159 [139]. NKG2A dimerizes with CD94 to become an inhibitory receptor [140]. NKG2A and its splice variant NKG2B contain ITIMs in the intercellular part of the molecule. The interaction of NKG2A/CD94 with peptide-loaded HLA-E leads to the phosphorylation of ITIM, recruiting phosphatases such as SHP-1 to the signal-transducing synapse, resulting in decreased effector functions [141,142] and in the transmission of an inhibitory signal [143] (Figure 1).

2.3.2. Interaction of HLA-E with Immune Cells

Studies have shown that HLA-E has a role in both tumor escape and tumor immune surveillance. Especially in colorectal and breast carcinomas, a negative prognostic association of HLA-E expression seems to facilitate tumor escape. During this immune escape process, the selective loss of HLA-A, HLA-B, and HLA-C alleviates and stabilizes the expression of HLA-E that engages the inhibitory NKG2A receptor, further promoting immune escape [128,131,132,144].
However, few studies show HLA-E to have a purely negative role in survival. Further studies have also argued that HLA-E is widely expressed in human tumors and, additionally, high HLA-E expression seems to correlate with good prognosis in melanoma and glioblastoma [145,146].
It is now a well-known fact that HLA-E expression has clinical relevance, and it has a high impact on tumor progression, metastasis, and the reduced survival of patients with some tumors, e.g., in laryngeal [147], mammary [131], non-small-cell lung [148], ovarian [149], and colorectal carcinomas [150,151]. In hematopoietic malignancies, the HLA-E surface was characterized by a high percentage of lymphoid tumor cells and this played a protective role regarding NK cell-mediated cytotoxicity [128]. Acute myeloid leukemia (AML) cells treated with IFN-γ showed increased HLA-E surface expression, which impaired CD94/NKG2A-dependent NK cell-mediated cytolysis [152].

2.3.3. HLA-E/NKG2A and Its Role in Cancer Immunotherapy

Given HLA-E’s role in cancer immune escape, it appears as a good candidate to implement the immune checkpoint inhibitory strategy. An ongoing clinical trial using anti-NKG2A monoclonal antibodies in colorectal cancer demonstrates that blocking HLA-E overexpression shows promising results (NCT02980146) (HLA-E CCR). Other studies have also been conducted on HLA-E and its regulatory effects on NKG2A-mediated function to control survival in lung cancer and lymphoma. Monalizumab, an anti-NKG2A blocking antibody, has been used to restore NK and CD8 T cell cytotoxicity. A recent study has revealed that monalizumab can potentiate anti-PD-1/PD-L1 inhibition as a combination therapy [17,153]. The study has demonstrated that monalizumab targets different key aspects of the immune response. It enhances the antitumor activities of both T and NK cells, by blocking the inhibitory function of NKG2A. This also blocks the NKG2A ligand, HLA-E, which is overexpressed in the human tumor microenvironment (TME) and which reduces lymphocyte expression in the TME. Additionally, monalizumab is also well tolerated in humans and has shown promising efficacy results in clinical trials. This evaluation supports its use in combination with targeted therapies, e.g., with cetuximab (an anti-EGFR antibody) in squamous cell carcinoma of the head and neck (HNSCC), whereas a 30% objective response rate (ORRs) was observed. This combination works most likely by the ADCC of NKG2A-expressing NK cells and not by NKG2A-expressing CD8+ T cells [16]. Clinical trials are ongoing using Ibrutinib in chronic lymphocytic leukemia (NCT02557516) [154], trastuzumab in breast cancer (NCT04307329) [155]), durvalumab in colorectal cancer (NCT02671435), and with cetuximab in HNSCC (NCT02643550) [156].
An elegant study showed that PD-1 blockade did not work as an efficient vaccination therapy in mouse tumor models, whereas its combination with NKG2A blockade showed a promising effect. This proves that NKG2A and PD-1 blockade may target a different subset of T cells [157]. Although PD-1/PD-L1 blockade therapy is the first line of treatment for different cancer types, the combination with NKG2A mAb was also tested in the PD-1/PD-L1-responsive MC38 mouse colon tumor model. The results did not show any significant improvement in therapeutic efficacy in the presence of NKG2A mAb, whereas a synthetic peptide vaccine did show an improvement. This result suggests that the therapeutic synergy between NKG2A and PD-1/PD-L1 may involve an overlapping subset of intratumoral CD8+ T cells and this makes NK cells unessential [153] (for more key clinical studies, please refer to Table 1).

2.4. NKG2D as an Immune Checkpoint Target

2.4.1. Relationship between Tumor Microenvironment and NKG2D

NKG2D is another receptor of the NKG2 family and is expressed on immune cells of the cytotoxic type [139]. Although NKG2D is expressed less abundantly, it can be induced during the stress response, such as infection and oncogenic transformation, senescent, and stress conditions [158]. NKG2D expression is regulated in different stages, such as transcription, mRNA and protein stabilization, and cleavage from the cell surface via various stress pathways [158]. The NKG2D ligand (NKG2DL) can also be regulated by transcriptional, RNA splicing, posttranscriptional, and posttranslational events [159]. During transcription, NKG2D ligands can be regulated by transcription factors or regulatory sequences in various molecular pathways. Under homeostatic conditions, the expression of NKG2DL is generally low [160]. The regulation of NKG2DL can also be influenced by cell stress, proliferation signals, infection, and oxidative stress, which might activate the DNA damage response or oncogenic transformation [160].

2.4.2. NKG2D: Its Overall Function and Structural Configuration

In NK cells, NKG2D acts as an activating receptor, which triggers cytotoxicity and also functions on CD8+ T cells to generate activating co-stimulatory signals [161] (Figure 1). The unique molecular structure of NKG2D enables it to interact with several structurally different MHCI-like ligands [158,162]. Additionally, in cancer cells, stress conditions upregulate NKG2D expression, which induces NK-cell-mediated lysis. The cancer cells develop a unique mechanism to reduce and eliminate the overexpressed NKG2DL on their surfaces by secreting metalloproteases capable of cleaving these ligands. Soluble NKG2DLs act as decoy molecules that mediate the immunosuppression and tumor immune escape by controlling NK-cell-mediated cytotoxic activity [163]. Cellular senescence induction occurs due to DNA damage mechanisms and upregulates the expression of NKG2D, which enables the NK-mediated killing of senescent cells via the granule exocytosis pathway [164,165].
The impact of NKG2D on NK cell development also depends on the interaction with the interleukin-15 receptor (IL-15R). It has been demonstrated that this IL-15R signaling is important for the development, homeostasis, and survival of NK cells. Studies have revealed that NKG2D-deficient NK cells are prone to apoptosis, which cannot be compensated by the addition of IL-15, suggesting that these two receptors have a common signaling pathway [166].
It has been demonstrated that some tumors downregulate NKG2DL’s expression to prevent its recognition. On the other hand, it has also been shown that some tumors induce NKG2DL expression, and this high NKG2DL expression triggers the downregulation of the NKG2D receptor on NK cells, which reduces their responsiveness [162,167]. This process prevents NK cells’ hyper-responsiveness against NKG2D ligands. Manipulation of the NKG2D–NKG2DL interaction might be a promising immunotherapeutic strategy for the treatment of various cancer types [139].

2.4.3. NKG2D and Its Role in Cancer Immunotherapy

NKG2D is one of the most well-characterized activating immunoreceptors that is associated with tumor immunosurveillance. NKG2D is also an important player in antitumor immunity due to its ability to recognize tumor cells and initiate an antitumor immune response [168].
It has also been reported that chimeric NKG2D-expressing T cells can be potential immunotherapeutics for gastric cancers with peritoneal metastasis [169,170]. Furthermore, the subpopulations of self-enriched repurposed NKG2D CAR T cells induce antitumor cytotoxicity against triple-negative breast cancer growth. Additionally, pre-clinical studies using these NKG2D CAR T cells targeted the NKG2D ligands on cancer cells, which promoted the expression of CD27 and 4-1BB co-stimulatory molecules on these CAR T cells. This resulted in a decrease in tumor burden in vivo [171,172]. It has been reported that NKG2D can be silenced by DNA methylation during the development of acute myeloid leukemia, and NKG2D ligand levels can be increased by using demethylating factors (e.g., azacitidine, decitabine) [173,174], which enhances the cytotoxic effect of the NK cells, resulting in the detection and lysis of cancer cells [172,175]. It has also been demonstrated that autologous activated and expanded NK cells (NKAE) bearing NKG2D-CAR can be used to treat multiple myeloma, and CAR-NKAE cells are a better strategy against MM than memory CAR-T cells [176]. Another pre-clinical study has demonstrated that the monotherapy of B10G5 (sMIC-neutralizing antibody) or combination with ALT-803 (immunostimulatory IL-15 super-agonist complex) significantly increased the NKG2D + CD8+ T cells and decreased the primary tumor burden and abolished metastasis in mouse-bearing B16-sMICB tumors. A significant synergistic therapeutic effect with ALT-803 was also reported to boost the tumor response to anti-CTLA-4 checkpoint blockade therapy [177].
Among many selective inhibitors, only Periostat, also known as Doxycycline (an inhibitor of matrix metalloproteinases (MMPs) that cleaves the extracellular domain of MICA/B, ligands for the NKG2D receptor), is undergoing clinical trials for different types of tumors. Periostat helps to control the increase in NKG2DL cell surface expression, thereby enhancing the NK cell-mediated cytotoxicity [178,179,180]. Some drugs, such as histone deacetylase (HDAC) inhibitors or bortezomib, along with conventional treatments such as chemotherapy, radiation therapy, or immunotherapies, combined with NKG2D-blockade therapies, have shown the significant upregulation of NKG2D ligands on tumor cells, by activating the NKG2D+ effector cells that eliminate the tumor [159] (for more key clinical studies, please refer to Table 1).

2.5. A2AR and A2BR as Immune Checkpoint Targets

2.5.1. Relationship between Tumor Microenvironment and A2AR

The adenosine A2A receptor (A2AR) is a class A, G-protein-coupled receptor (GPCR) that has major affinity to adenosine. The signaling of A2AR is responsible for the activation of the cAMP/PKA pathway through coupling to Gαs family members (i.e., Gαs and Gαolf). The increased cAMP level leads to the activation of PKA and several other downstream targets, which include the transcription factor cAMP response element-binding protein (CREB) [181]. A2ARs are known to be responsible for suppressing immune cells and protecting tissues from inflammation [182]. As part of their regulatory role in the adaptive immune system, A2ARs function similarly to PD-1 and CTLA-4 receptors to suppress the immunologic response. Due to cellular stress, the excess extracellular adenosine binds with A2ARs through the response of the Gs protein-coupled receptor, which in turn accumulates cAMP via the activation of PKA and upregulates the inhibitory cytokine TGF-β and inhibitory receptor PD-1 [183,184].

2.5.2. A2AR: Its Overall Function and Structural Configuration

A2AR, as a member of the GPCR family, contains seven transmembrane alpha helices and an extracellular N-terminus along with an intracellular C-terminus. Adenosine is essential for the synthesis of adenosine triphosphate (ATP), adenine, and adenylate [185]. Extracellular adenosine can signal through a set of GCPRs: A1, A2a, and A3, with higher affinity for adenosine, and A2b, with lower affinity [183,184,186,187,188,189]. A2ARs are known to be widely expressed on the surfaces of most immune cells [190,191,192] (Figure 1).
A phase I study on the A2AR pathway has demonstrated that A2AR has a significant role in immunosuppression. Extracellular adenosine binds to the A2AR on the immune cell surface and activates the cAMP pathway, which in turn inhibits T cell activation and expansion [193]. Studies have demonstrated that adenosine tends to accumulate more often in the solid TME due to the presence of transient or chronic hypoxia [194]. Ohta et al. have highlighted that, in an in vivo tumor model, the pharmacological blockade or genetic deletion of the extracellular adenosine–A2AR–cAMP axis can significantly improve the T cell dysfunction in the TME [195].
The ectoenzyme CD39 is abundantly expressed on tumor-infiltrating immune cells, particularly Tregs, effector T cells, and myeloid cells. Increased CD39+ Tregs have been reported in head and neck squamous cell cancer patients, causing adenosine-mediated immune suppression, which was reversed by A2AR or CD39 blockade [196,197]. The very first study on CD39-deficient mice demonstrated that the inhibition of extracellular adenosine-mediated signal transduction can affect angiogenesis and tumor growth [198]. Another study has also demonstrated that the deletion of CD39 in bone-marrow-derived cells can enhance NK-cell-mediated antitumor immunity and inhibit liver metastasis due to melanoma tumors [199]. It is well established that CD73 (an ectonucleotidase) is an immunoinhibitory protein that plays an important role in tumor growth and metastasis. CD73 is mainly responsible for converting extracellular ATP to immunosuppressive adenosine in concert with CD39 in normal tissues, to control the excessive immune response [200,201]. The study has also revealed that the knockdown of CD73 can increase the survival of tumor-bearing mice and enhance the adoptive T cell therapy [200,202]. In addition to this, another study also showed that anti-CD73 antibody therapy inhibits breast tumor growth and metastasis in a mouse model through adoptive immunity and A2ARs on immune cells [188,203,204]. Phase III clinical studies demonstrate several blocking strategies against the A2AR immune suppression pathways, such as anti-hypoxia agents, anti-CD39 agents, anti-CD73 agents, A2AR/A2BR antagonists, and anti-PKA agents [188,205,206]. Some pre-clinical studies including anti-CD73 antibody, BMS-986179 [207], CPI-006 [208], A2AR antagonist NIR178 (PBF-509) [209], inupadenant (EOS-850) [210], Ciforadenant (CPI-444) [211,212], and A2AR/A2BR dual antagonist AB928 [213,214] showed significant tolerability in humans for cancer treatment [188]. Another study on two breast cancer mouse models (4T1.2 and E0771) showed that anti-CD73 antibody reduced both primary tumors and metastases [203] (for more key clinical studies, please refer to Table 1).

2.5.3. A2AR and Its Role in Cancer Immunotherapy

Recent works demonstrate that the adenosine pathway has been of major clinical interest in cancer immunotherapy [206]. Currently, the A2AR clinical trials are focused on three main points: (1) monotherapy and combination with anti-PD-L1 antibodies showed complete and prolonged inhibition of A2AR, which is well tolerated in cancer patients; (2) A2AR antagonists elicit antitumor immunity from monotherapy and in the combination with anti-PD-L1, and (3) different pools of patients need to be identified based on the predictive biomarkers of adenosine pathway blockade [215]. There is also major interest in exploring A2AR antagonists. For example, clinical trials on ciforadenant or ciforadenant in combination with atezolizumab have been the first to publish clinical results on the safety, efficacy, and biomarkers of A2AR antagonists in renal cell cancer patients, as assessed by Corvus Pharmaceuticals [188]. Some other studies have also demonstrated the efficacy of an A2AR antagonist (AZD4635) in metastatic castration-resistant prostate cancer (mCRPC) patients during an AstraZeneca trial. Some other major ongoing trials using A2AR antagonists are AB928 by Arcus Biosciences, NIR178 by Novartis, and EOS100850 by iTeos Therapeutics [209,212,215,216,217,218,219] (for more key clinical studies, please refer to Table 1).
A phase I clinical trial (NCT02655822) of an A2AR antagonist (PBF-509 and CPI-444) alone or with a PD-L1 inhibitor, atezolizumab, has also been performed to evaluate the clinical efficiency of A2AR blockade for solid tumors, e.g., HNSCC [206]. Another clinical study has demonstrated that a high-affinity and selective A2AR inhibitor, ZM241385, in combination with anti-CTLA-4 mAb inhibited tumor growth and enhanced antitumor immune responses in a B16F10 mouse melanoma model [220,221]. Istradefylline has been recognized as an extremely strong, selective, and orally active A2AR antagonist [222]. SCH58261 has been recognized as a potent, selective, and competitive antagonist of A2AR against melanoma and breast cancer mouse models in combination with anti-PD-1 mAb [223,224,225,226]. Another A2A receptor antagonist, Preladenant (SCH-420814), is also a powerful and competitive antagonist of the human A2AR [188,227]. SYN115, another antagonist, has also been observed to enhance tumor immunotherapy in combination with anti-PD-1 mAb in CD73-expressing tumors [228]. FSPTP (an irreversible inhibitor) is another potent A2AR blocker administered as an intratumoral injection, which reduced the frequency of tumor-infiltrating CD8+ T cells, but not CD4+ T cells or NK cells, in an MB49 bladder cancer model [229]. Various studies have demonstrated that blocking A2AR is a promising tumor immunotherapeutic target via its effect on NK cells, myeloid-derived suppressor cells, and tumor-associated macrophages.

2.5.4. Relationship between Tumor Microenvironment and A2BR

Similar to A2AR, the adenosine A2B receptor (A2BR) is also a G-protein-coupled adenosine receptor. The A2BR integral membrane protein stimulates adenylate cyclase activity in the presence of adenosine and is also responsible for interacting with netrin-1, which is involved in axon elongation [230]. As A2BR has low affinity for binding with adenosine, it is evident that, unlike all other adenosine receptor subtypes, A2BR is only expressed during specific physiological conditions with a high adenosine concentration, and not simply at regular physiological levels [231,232]. This unique feature enables A2BR to be active during specific pathophysiologic conditions associated with massive adenosine release, such as in the TME [233].

2.5.5. A2BR: Its Overall Function and Structural Configuration

The A2BR protein contains a single polypeptide chain that spans the membrane seven times. The amino terminal remains on the extracellular side, while the carboxy terminal remains in the intracellular portion [230].
Studies have shown that some transcriptionally regulated physiological conditions, such as hypoxia-inducible factor (HIF)-1a-associated inflammatory hypoxia, enhance the expression of A2BR, which suggests that A2BR may play a major role in tumor promotion [234]. An in vitro study has demonstrated that A2BR plays an opposing role in cancer cell proliferation and apoptosis based on the concentration of adenosine receptor agonists, the level of A2BR, and the type of cancer cell line. Results show that 5′-(N-ethylcarboxamido) adenosine (NECA, a nonspecific adenosine receptor agonist) treatment activates caspase-3, which induces apoptosis in ovarian cancer cell lines in the presence of high A2BR expression [235]. Another study has also demonstrated that the knockdown of A2BR in mouse and human tumor cell lines plays a critical role in the reduction of metastasis by inducing cell cycle arrest and reducing viability and colony-forming ability [236]. It was reported that knocking down the expression of A2BR inhibited tumor growth and stimulated apoptosis in gastric cancer [237]. Other studies demonstrated that the inhibition of A2BR decreased metastasis in melanoma, breast cancer, and renal cell carcinoma [238,239].

2.5.6. A2BR and Its Role in Cancer Immunotherapy

Many studies have demonstrated that A2BR is highly expressed in many murine and human tumors due to the hypoxic environment prevalent in solid tumors. It is also demonstrated that A2BR plays an important role in the TME by promoting tumor proliferation, tumor angiogenesis, tumor cell invasion, metastasis, and immune suppression. Thus, several strategies are being explored by targeting A2BR, and blocking A2BR seems to be a promising anticancer therapeutic strategy [240,241,242] (Figure 1).
A2BR inhibition by antagonist PSB-1115 was shown to decrease the tumor metastasis of CD73+ melanoma cells and mammary cancer [236]. It has been observed that PSB-1115 delays tumor growth and enhances the antitumor activity of dacarbazine, a drug that is currently used in metastatic melanoma treatment. Several antagonists have been in different phases of clinical trials for cancer treatment, and many of these are mixed A2AR/A2BR antagonists such as AB928 (Phase 1, lung cancer, NCT03846310; Phase 1, breast and ovarian cancer, NCT03719326; Phase 1, gastrointestinal cancer, NCT03720678; Phase 1, advanced cancer, NCT03629756), PBF-1129 (Phase 1, non-small-cell lung cancer, NCT03274479), and theophylline. Seitz et al. showed that AB928 (NCT05024097) is recognized as a safe agent and has also been used in phase 1 clinical trials in healthy volunteers. Additionally, it has also been evaluated in patients with non-small-cell lung cancer, breast cancer, ovarian cancer, colorectal, and six other types of cancer [213]. A recent study on rectal cancer showed that AB122, a human PD-1 inhibitor, administered together with AB928 (NCT05024097), was well tolerated and demonstrated evidence of a clinical benefit, including an antitumor response and disease stabilization for more than 6 months [213,242,243]. AB928 used in conjunction with AR inhibition alleviated adenosine-mediated immune suppression. It was demonstrated that AB928 and chemotherapy together result in greater immune activation and tumor control [244]. Another phase 1 clinical study on A2BAR antagonist PBF-1129 in patients with advanced NSCLC, in a dose escalation manner, showed significant tolerability [242]. The study reported that theophylline, a nonselective AR antagonist, may block all four ARs. Theophylline in combination with prednisone and dextromethorphan has also been undergoing a phase 1 clinical trial (NCT01017939) for patients with metastatic castration-resistant prostate cancer. Aminophylline, a salt of theophylline, in combination with Bacillus Calmette–Guerin, has been in an early phase 1 trial for patients with bladder cancer (NCT01240824) [242] (for more key clinical studies, please refer to Table 1).

2.6. SIRPα/CD47 as an Immune Checkpoint Target

Increasing studies report that targeting signal regulatory protein alpha (SIRPα)/CD47 results in therapeutic success in cancer treatment. In physiological conditions, the SIRPα/CD47 pathway is involved in immunotolerance; however, in malignancy, it helps the cancer cells to achieve immune evasion. The SIRPα/CD47 binding inhibits the antitumor immune response, which makes this a crucial druggable target in cancer immunotherapy. To avoid this binding action and allow the clearance of tumor cells, many blocking antibodies have been developed [245,246,247].

2.6.1. SIRPα/CD47 Functions

SIRPα, also known as SHPS-1 or CD172a, is expressed in myeloid cells, including monocytes, macrophages, granulocytes, and CD4+ DCs, as well as in neurons [248]. In humans, as a transmembrane protein, it possesses (a) an extracellular domain with three Ig-like regions (NH2-terminal immunoglobulin variable region and two Ig constant regions), (b) a transmembrane domain, and (c) an intracytoplasmic region with two immunoreceptor tyrosine-based inhibitory motifs and a proline-rich region, which binds Src homology domain-containing proteins [249,250].
CD47, known as integrin-related protein (IAP), is broadly expressed on all cell types, including tumor cells [251]. It is also a transmembrane protein that has (a) an extracellular NH2-terminal Ig variable-like domain, (b) a 5-transmembrane spanning helical bundle domain, and (c) a cytoplasmic COOH-terminal domain. It functionally binds αVβ3 integrin, SIRPα, and thrombospondin-1, resulting in the activation of several homeostatic signaling pathways that regulate cell proliferation, differentiation, migration, angiogenesis, and host defense as well as the immune response [252,253]. CD47 is known as a “do not eat me” signal that, following its binding with SIRPα on macrophages, prevents the macrophage-mediated phagocytosis that represents the engulfment of tumor cells by phagocytosis-specialized macrophages [254,255].
CD47, with its NH2-terminal IgV domain, binds SIRPα. This binding generates the phosphorylation of tyrosine residues that in turn binds and activates protein tyrosine phosphatases (PTPase), such as SHP1 and 2, which deactivates the autoinhibitory activity and favors enzymatic activity, including the limitation of phagocytosis [256].

2.6.2. SIRPα/CD47 Role in Cancer Immunosuppression

In 2000, CD47 was identified on red blood cells as a marker of self-cells. Indeed, CD47 binds SIRPα on macrophages, therefore recognizing the red blood cells as self and not eliminating them in the spleen [257]. The SIRPα/CD47 homeostatic function also occurs in the context of cancer to escape the immune system. An elegant work by Jaiswal et al. shows that the upregulation of CD47 on hematopoietic stem cells and leukemia cells protects them from phagocytosis, allowing mobilization and increasing pathogenicity, respectively [258]. Indeed, the blocking antibody against SIRPα on macrophages favors the phagocytosis of CD47-expressing cancer cells [258]. In parallel, the role of the SIRPα/CD47 axis has been described in head and neck squamous cell carcinoma (HNSCC). CD47 expression is increased in human and murine HNSCC. Furthermore, it correlates with poor prognosis in patients. Moreover, CD47 is associated with immune checkpoint proteins, such as PD-1 and PD-L1, the Treg marker Foxp3, and the immunosuppressive myeloid-derived suppressor cell (MDSC) markers, including CD11b and CD33 [259]. Treatment with a monoclonal anti-CD47 antibody delays the tumor growth in HNSCC in immunocompetent mice, affecting the AKT pathway [259]. Importantly, anti-CD47 treatment induces a switch from an immunosuppressive to immunogenic microenvironment by decreasing PD-1 expression and increasing IFN-γ secretion by T effector cells, as well as reducing the suppressive function of CD11b+ Ly6G+ Ly6Clo MDSCs in vivo [259]. In non-Hodgkin’s lymphoma (NHL), CD47 is required for NHL cell extranodal dissemination, which was inhibited by a CD47 blocking antibody [260]. Anti-CD47 treatment is also effective in glioblastoma by stimulating M1 macrophage-dependent phagocytosis in vivo [261] (Figure 1).
Nowadays, SIRPα/CD47 is inhibited in combination with other checkpoint immunotherapies to treat multiple types of cancer. The dual anti-CD47/anti-PD-L1 blockade successfully reduces murine colorectal tumor growth via the activation of dendritic cells and macrophages and differentiation of Tcf7+ stem-like progenitor CD8+ T cells in T effector cells [262]. Similarly, CTLA-4 × SIRPα antibody, which targets both CTLA-4 and CD47 on ICOS-high T regulatory cells, enhances antitumor immunity in murine colon cancers [263]. Furthermore, in esophageal squamous carcinoma, anti-CD47 treatment favors the expression of pro-inflammatory cytokines (IL-2 and IL-12, IFN-γ, TNF-β) and increases the tumor-infiltrating CD8+ T cells [264]. Importantly, these cells express high levels of immune checkpoints PD-1 and CTLA-4, suggesting their activated status, indicating that anti-CD47 treatment induces an antitumor immune response [264]. Therefore, the synergic combination of anti-CD47 with anti-PD-1 and anti-CTLA-4 induces a delay in tumor growth and improves overall survival in mice. Moreover, CD47 is highly expressed in patients with low tumor CD8+ T cell infiltration, confirming its negative role in the antitumor immune response [264]. Many clinical trials have been developed using anti-CD47 (NCT02641002) or bifunctional CD47-PD-1 antibodies (NCT04886271), or anti-SIRPα antibodies (NCT02663518, NCT0399023), with promising and hopeful results for several types of cancer (for more details, please refer to Table 1).
Overall, SIRPα/CD47 blockade results in a therapeutic strategy for cancer treatment that involves macrophages as key players in tumor immune escape.

2.7. TIM-3 as an Immune Checkpoint Target

Along with the well-known PD-1, PD-L1, and CTLA-4, and in addition to SIRPα/CD47, TIM-3 has emerged as a promising target in cancer immunotherapy [265].

2.7.1. Role of TIM-3

T cell immunoglobulin and mucin domain 3 (TIM-3), also known as hepatitis A virus cellular receptor 2 (HAVCR2), a member of the TIM family, is a membrane glycoprotein expressed by monocytes, macrophages, mast cells, NK, DCs, B cells, and T cells, including Th1 cells, Th17 cells, Tregs, and type 1 CD8+ T cells (Tc1) [266,267]. Structurally, TIM-3 is composed of an N-terminal extracellular IgV domain, a transmembrane domain, and an intracellular domain with four phosphor-tyrosine domains. TIM-3 has several ligands and different functions depending on which ligand it binds. Galectin-9 (Gal-9) binds TIM-3 expressed by T cells inducing Ca(2+)-calpain-caspase-1 driven apoptosis of TIM-3+ T cells [268] and inhibits the cell proliferation and secretion of TNF-α and IFN-γ [269,270]. When TIM-3 is expressed by macrophages and T cells, it binds Gal-9, with inhibitory effects on the antitumor response [271]. The TIM-3/Gal 9 complex inhibits the proliferation of T cells and decreases the secretion of cytokines (IFN-γ, TNF-α, and IL-2), which results in the death of T cells. In Tregs, the interaction of TIM-3/Gal-9 promotes immunosuppressive TGF-β [272] and interleukin-10 (IL-10) signaling [273]. On the contrary, when it is expressed by DCs and NK cells, it has activating functions [271,274]. High Mobility Group Box 1 (HMGB1) binds TIM-3 expressed by DCs, blocking the endosome trafficking of the nucleic acids released by apoptotic cells, inhibiting the pattern recognition receptor (PRR) signaling [275]. On the other hand, the interaction between TIM-3 expressed by T cells and HMGB1 is not fully understood. Moreover, TIM-3 also binds phosphatidylserine (Ptdser), exposed on the outer surface of the cellular plasma membrane by apoptotic cells, as a signal to undergo phagocytosis [267]. TIM-3+ CD8+ DCs binds Ptdser and contributes to apoptotic cell clearance; indeed, anti-TIM-3 antibody inhibits the cross-presentation of antigens derived by apoptotic cells [276].

2.7.2. TIM-3 in Cancer Immune Escape and Clinical Applications of TIM-3 Antibodies

Solid tumors, including breast, head and neck, prostate, NSCLC, and glioma [267,277], express high levels of TIM-3 on T cells and Gal-9 on cancer cells, rendering TIM-3/Gal-9 binding a target of immunotherapy. TIM-3 is co-expressed with PD-1 in terminally differentiated T cells. Currently, many TIM-3 inhibitors have been developed for monotherapy or combination therapy for cancer management. Several clinical trials are using TIM-3 antibodies [266], including Sym023 (NCT033114112), ICAGN02390 (NCT03652077), TSR-022 (NCT02817633), MBG453 (NCT02608268), LY3321367 (NCT03099109), BGBA425 (NCT03744468), R07121661 (NCT03708328) [278], and BMS-986258 (NCT03446040). The combination of anti-TIM-3 sabatolimab with anti-PD-1 spartalizumab shows promising antitumor activity in several solid tumors [279] (for more key clinical studies, please refer to Table 1).

2.8. LAG-3 as an Immune Checkpoint Target

Another member of the superfamily of immunoglobulins that also is a significant potential ICB is lymphocyte activation gene-3 (LAG-3), also known as CD223 [280,281].

2.8.1. Function of LAG-3

LAG-3 is a surface receptor on TILs [282], activated CD4 [283] and CD8 T cells [284], Tregs [285,286], NK cells, DCs [287,288], and B cells [289]. As a surface receptor, LAG-3’s structure is composed of (a) an extracellular domain with D1, D2, D3, and D4 immunoglobulin superfamily domains that bind the ligands; (b) an intramembrane domain; and (c) intracellular domains with the serine phosphorylation site S454 bound by protein kinase C, the “KIEELE” motif crucial for LAG-3 function, and the EP sequence that is a glutamate–proline dipeptide repeat motif [290]
The extracellular domain binds the LAG-3 ligands, which are galactose lectin-3 (galectin-3), MHCII, fibrinogen-like protein 1 (FGL1), and hepatic sinusoid endothelial cell lectin (LSECtin).
Galectin-3 is a soluble lectin that is ubiquitously expressed [291], whereas LAG-3 is glycosylated, and it binds galectin-3, inhibiting the CD8+ T cell production of IFN-γ [292].
LAG-3, as well as CD4—as they have structural high homology—binds MHCII but at a higher affinity than CD4 [293]. This interaction induces the inhibition of TCR signal transduction [294,295] and ITAM-driven DC activation [296].
FGL1 is expressed by tumor cells with different cellular localizations. Indeed, it has been described to be present both on the surfaces of breast cancer cells and in the cytoplasm of NSCLC cells [297,298]. It is not clear how FGL1 from the cytoplasm can interact with LAG-3 on the surfaces of lymphocytes, or whether other molecules are involved as mediators of the ligand/receptor interaction. The downstream signaling of FGL1/LAG-3 is unknown. However, upon interaction, a decrease in IL-2 secretion occurs, leading to the inhibition of the antigen-mediated T cell response [297].
LSECtin is a member of the C-type lectin receptor superfamily, and it is expressed in the liver, lymph nodes [299], and melanoma [300]. Its binding with LAG-3 determines the suppression of the antitumor T cell response with the promotion of tumor growth [300].
The signaling transduction of LAG-3 is not well defined. The motif “KIEELE”, interacting with unknown binding partner molecules, transmits the signal, leading to the cell cycle arrest of T cells with a subsequent loss of T cell expansion [301,302]. Moreover, Previte and colleagues demonstrated that LAG-3 on naïve CD4 T cells negatively modulates mitochondrial biogenesis and homeostatic cell expansion through the STAT5 and Akt pathways to maintain the cells in a quiescent status [303]. Furthermore, LAG-3 is expressed on CD4 (+) CD25 (high) Foxp3 (+) T cells, which represent an expanded cell subset that secretes immunosuppressive cytokines such as IL-10 and TGF-β1 in patients with melanoma and colorectal cancer [304].
LAG-3 expression on the cell surface is regulated by endocytosis [305] or by the activity of the metalloproteases ADAM10 and ADAM17 that cleave LAG-3, generating a soluble protein, sLAG-3 [306].
LAG-3 is overexpressed in many tumors, including melanoma, gastric, ovarian, anal and colorectal, hepatocellular, prostate, follicular, breast, head and neck, NSCLC, renal, pancreatic, and mesothelioma cancer [281] (Figure 1).

2.8.2. Clinical Application of LAG-3 Blocking Antibodies

Many clinical applications to inhibit the LAG-3/ligand binding have been developed for cancer treatment. The prevention of binding between LAG-3 with MHCII with a cyclic peptide, C25, increases IFN-γ secretion and CD8 T cell infiltration and decreases the FOXP3+ Tregs in both in vivo colon–rectal and melanoma models [307]. Similarly, Leramilimab (LAG525), another inhibitor of the LAG-3/MHCII interaction, has antitumor activity in combination with anti-PD-1 spartalizumab in advanced/metastatic solid tumors (NCT02460224). In chronic lymphocytic leukemia, relatlimab, a monoclonal anti-LAG-3 antibody, recovers the activity of T and NK cells, promoting the antitumor immune response [308] (NCT03470922) (for more key clinical studies, please refer to Table 1). Further studies are required to better characterize the LAG-3 interaction with its ligands, especially FGL-1, and dissect the downstream signaling to improve its inhibition and promote the antitumor immune response.

2.9. B7-H3 as Immune Checkpoint Target in Cancer

Among the new tumor antigens that are emerging as potential targets for cancer immunotherapy, B7-H3 is being reported as a powerful checkpoint target [309].

2.9.1. Role of B7-H3/CD276 in Immune Response

Activated APCs express B7 on their membranes [309]. The B7-H3 subvariant protein (or CD276) was overexpressed in different types of human cancer cells and was associated with disease deterioration [310,311,312]. B7-H3 usually functions as a co-stimulatory receptor required for immune responses such as the stimulation of T cells and IFN-γ expression [310] (Figure 1).

2.9.2. Role of B7-H3/CD276 in Immune Suppression in Tumors

Recently, it was observed that B7-H3 can exert inhibitory effects toward T cell proliferation and triggers enhanced immunosuppression [312,313,314]. Studies show that B7-H3 hinders the proliferation of both CD4 and CD8 T cells [315]. Other work suggested that B7-H3 overexpression was positively correlated with a greater tumor load, advanced clinical stage, and low survival percentages in oral squamous cell carcinoma patients. It was also shown that tumor cell proliferation was inhibited by B7-H3 blockade, while the rescue of B7-H3 expression enhanced tumor proliferation [316]. B7-H3 and Tregs were found to have a possible collaborative role in tumor immune escape and the subsequent poor outcomes in NSCLC patients [317]. B7-H3 and CD14 were co-expressed in renal cell carcinoma tissue, which was positively correlated with an increased tumor burden. This correlation points towards the significant function of B7-H3 in CD14+ monocyte-mediated RCC angiogenesis [318]. Similarly, another study suggested that the co-expression of B7-H3 and CD133 correlated with disease progression in CD133+ CRC (colorectal cancer) [319]. The B7-H3 overexpression observed in human breast cancer tissues may play a vital role in tumor growth and invasiveness via the enhanced secretion of the immunosuppressive cytokine IL-10 [320]. Several other reports suggest the role of B7-H3 in drug resistance during tumor therapy via the upregulation and activation of different pro-tumoral signaling cascades [309].
Inspired by pre-clinical studies, strategies to block B7-H3 have been developed and have been tested in cancer patients in clinical studies [309]. Notable examples include Enoblituzumab (MGA271), a humanized monoclonal antibody against B7-H3. Enoblituzumab facilitated potent antibody-dependent cellular cytotoxicity (ADCC) against a broad range of tumors [321]. Several trials, such as NCT02923180/Phase 2 and NCT04145622/Phase 1, are ongoing using MGA271. Studies have also been conducted using activated T cells (ATC) bearing anti-CD3 x anti-B7-H3 moieties (referred to as B7-H3Bi-Ab), which showed effective cytotoxicity towards tumor cells by ADCC. ATC possessing B7-H3Bi-Ab showed augmented cytotoxic effects, enhanced cytokine expression, inhibition of the tumor burden in vivo, and significantly improved survival [322]. Combination trials using anti B7-H3 +/− anti PD-1 on a broad spectrum of cancers are ongoing (NCT03729596/Phase 1, 2). Evidence from the above studies, along with several others, indicates B7-H3 as a promising checkpoint target in different tumors that is worth further exploration (for more key clinical studies, please refer to Table 1).

2.10. PARPs as Promising Immune Checkpoint Targets in Cancer

Poly ADP-ribose polymerases (PARPs) play a pivotal role in both innate and adaptive immune responses. Given that T cells are the principal immune cells involved in antitumor immunity, PARP inhibition significantly impacts T cell functions in the TME [323].

2.10.1. Functions of PARPs in DNA Damage Response

PARP enzymes, including PARP1 and PARP2, are vital DNA damage detecting and signaling proteins involved in the DNA damage response. Cells are persistently faced with external and internal stresses that can ultimately trigger DNA damage. To maintain genomic stability and prevent carcinogenesis, the detection of DNA damage and subsequent DNA repair are vital biological processes that are managed by multiple pathways in cells [324]. These enzymes bind to DNA breaks and catalyze the attachment of poly (ADP-ribose) (PAR) moieties on target proteins (referred to as PARylation) in the vicinity of the DNA break and also on themselves (self-PARylation) [325,326]. These negatively charged PARylated chains stimulate posttranslational modification-mediated cellular effects such as chromatin remodeling and the recruitment of DNA repair protein complexes and also influence the pace of replication fork progression [323,327]. The binding of PARP1 through zinc finger domains to sites of DNA damage triggers a change in conformation in the PARP1 proteins and alleviates the self-repressive interaction between the catalytic domain and helical domain. Subsequently, PARP1 utilizes nicotinamide (β-NAD+) as its substrate to catalyze the transfer of ADP-ribose chains onto target proteins. This posttranslational modification of the PARylation of target proteins most likely mediates DNA repair [328,329] (Figure 1).

2.10.2. Antitumor Role of PARP Inhibitors (PARPi) in Cancer in the Context of the Tumor Microenvironment (TME)

Besides their usual functions in maintaining genomic integrity, multiple studies have shown that PARPs are involved in anti-cancer immunity. In small cell lung cancer (SCLC), PARPi was demonstrated to trigger the activation of cytotoxic T lymphocytes (CTL) via upregulating the STING/TBK1/IRF3 innate immune pathway, and to increase the expression of chemokines such as C-X-C motif chemokine ligand 10 (CXCL10) and C-C motif chemokine ligand 5 (CCL5) [330]. Studies in ovarian cancer showed that PARPi could stimulate an increase in PD-L1 expression via the enhanced phosphorylation of CHK1. As a result, PD-L1 blockade and PARPi caused a synergistic antitumor immune response via CD8+ T cells [331]. Therapeutic studies with Talazoparib (BMN673, a PARP1/2 inhibitor) significantly increased the frequency of activated NK cells with the enhanced secretion of IFN-γ and TNF-α in the TME of a murine ovarian cancer model [332]. Other pre-clinical cancer studies also demonstrated that the inhibition of PARP-1/2 retained NK cell viability and primed tumor cells to NK-cell-mediated killing in various cancer models, such as breast, prostate, NSLC, and chronic myeloid leukemia [333,334].
PARPi has been shown to be an efficacious therapeutic strategy against cancers with defects in double-strand break (DSB) repair. Recently, various PARPi have been used in more than 70 clinical trials and have been approved by the FDA, including Olaparib, niraparib, rucaparib, and talazoparib [335,336,337,338,339]. Olaparib was recently approved for first-line maintenance treatment in BRCA1/2-mutated, newly diagnosed, advanced ovarian cancer after a complete response (CR)/partial response (PR) to platinum-based chemotherapy [340]. PARPi-associated clinical studies were performed in various cancer types, including ovarian cancer, fallopian tube cancer, primary peritoneal cancer, high-grade endometrioid cancer, breast cancer, pancreatic cancer, prostate cancer, and lung cancer [336]. For example, phase 2 trials are ongoing (NCT00753545) using PARP inhibitor Olaparib in patients with ovarian cancer that recurred within 12 months of prior platinum therapy, with confirmed germline BRCA1/BRCA2 mutation. A phase 1 trial (NCT03101280) is also ongoing using PARP inhibitor rucaparib in advanced gynecologic cancer and triple-negative breast cancer patients. Combination therapies based on a synergistic antitumor effect due to PARPi and other antitumor therapeutics warrant further exploration based on the promising pieces of evidence mentioned earlier. Initial studies of PARPi-related combined therapeutics mostly focused on chemotherapy, radiotherapy, and a few other standard target regimens. Recent studies have shown that PARP inhibition can enhance the responses of other ICIs [341,342]. PARPi treatment led to an increase in DNA damage and triggered the interferon pathways. Thus, PARPi has the potential to improve the response to ICIs by enhancing the T-cell-mediated immune response [324,343]. Promising results from pre-clinical studies of PARPi in combination with ICIs have been translated into clinical trials, which in turn have also shown encouraging results [324] (for more key clinical studies, please refer to Table 1).

2.11. TIGIT as a Promising Immune Checkpoint Target in Cancer

In addition to the previously mentioned immune checkpoint targets, other, newer targets are gaining prominence in pre-clinical and clinical studies. T cell immunoreceptor with immunoglobulin and ITIM domain (TIGIT, also called WUCAM, Vstm3, VSIG9) is becoming a promising ICI target. TIGIT expression is elevated by different immune cell populations, such as activated T, NK, and Treg cells [344] (Figure 1).

2.11.1. Structure and Functions of TIGIT in Immune Cells

TIGIT is a receptor of the Ig superfamily. TIGIT is composed of (i) an Ig variable domain that is extracellular, (ii) a type 1 domain that is transmembrane, and (iii) two inhibitory motifs (conserved in mouse and human): an ITIM and an Ig tail-tyrosine (ITT)-like motif, which is the cytoplasmic tail [345,346,347,348].
TIGIT functions as a negative regulator of adaptive and innate immune cells. TIGIT plays important roles in regulating the functions of signaling cascades involving multiple immune inhibitory receptors, such as CD96/TACTILE and CD112R/PVRIG, a competing co-stimulatory receptor DNAM-1/CD226, and multiple ligands, e.g., CD112 (Nectin-2/PVRL2) [346,347,349,350,351]. TIGIT can downregulate the immune response in different ways. For example, TIGIT indirectly inhibits T cell function by engaging with the CD155 receptor expressed on DCs. This binding stimulates CD155 phosphorylation and activates a signaling cascade that enhances the tolerance phenotype in these DCs. This causes the DCs to produce less IL-12 and more IL-10 to trigger immunosuppression [347]. Additionally, TIGIT has other multiple mechanisms by which it suppresses the activity of other immune cells such as T cells and NK cells [344].

2.11.2. Role of TIGIT in Immune Suppression in the TME

A study showed that sole TIGIT blockade or TIGIT/PD-1 blockade decreased the tumor burden through NK cell activation, which enhanced CD8 T cell-mediated antitumor immune responses in B16 melanoma and CT26 lung metastatic mouse models [352]. Blockade of TIGIT and other immune checkpoint targets as cancer immunotherapeutic strategies has been reported to be very promising in different pre-clinical mouse tumor models. In a mouse colorectal cancer model, individual single blockade failed to significantly inhibit tumor growth. In sharp contrast, blocking TIGIT and PD-1/PD-L1 gave highly synergistic results, including absolute tumor rejection with enhanced survival, and enhanced activation, memory, and antitumor functions of CD8 T cells. Additionally, all of the above effects were dampened upon CD8 T cell depletion, signifying the important immunoinhibitory role of TIGIT in CD8 T cell antitumor functioning [352,353,354]. Blockade of TIGIT and TIM-3 synergized to enhance antitumor immune responses in various mouse tumor models via Treg cells [355].
The potential of TIGIT as a credible cancer immunotherapeutic target is being tested in multiple phase I and II clinical trials. Most of these trials are testing Fc-engineered anti-TIGIT mAbs. One such study is testing TIGIT blocking human IgG1 mAb in a phase I/II study (BMS-986207/Bristol-Myers Squibb) with other ICIs such as LAG-3 in multiple myeloma patients with relapse (NCT04570839). Another example is a phase I study of TIGIT blocking humanized IgG1 mAb BGB-A1217 (BeiGene) in patients with metastatic solid tumors (NCT04047862). Details of these and other clinical trials using TIGIT inhibition are mentioned in Table 1.

2.12. VISTA as a Target of Cancer Immunotherapy

Recently, another molecule of interest has emerged in immunotherapy research called the V-domain Ig suppressor of T cell activation (VISTA, also named c10orf54, VSIR, SISP1, B7-H5, PD-1H, DD1α, Gi24, and Dies1). VISTA, a B7 family member, is an immunoglobulin superfamily inhibitory ligand expressed on myeloid cells, including microglia, neutrophils, monocytes, macrophages, CD11b+ CD8+ T cells, and naïve CD4+ and Foxp3+ Treg cells [356]. VISTA is also expressed in cancer cells, including epithelioid malignant pleural mesothelioma [357], melanoma [358], lung [359], breast [360], renal [361], colorectal [362], and gynecologic cancers [363].

2.12.1. VISTA’s Structure and Functions

Structurally, VISTA, as a transmembrane protein, consists of (1) an N-terminal extracellular Ig domain that shares homology with the B7 family ligands (highest homology with PD-L1, 22%). The VISTA extracellular domain exclusively contains four cysteines not found in the other family members. It also contains (2) a transmembrane domain and (3) a cytoplasmic tail without ITIM and ITAM motifs, differing from the other B7 molecules. However, it has protein kinase C binding sites and a proline-rich motif for protein–protein interactions for signal transduction [364]. It is unclear whether VISTA acts as a receptor, ligand, or both. The known VISTA ligands are V-set and Ig domain-containing 3 (VSIG3, expressed on colorectal cancers, hepatocellular carcinomas, and intestinal-type gastric cancers) and, at an acidic pH, such as in the TME, P-selectin glycoprotein ligand 1 (PSGL-1). It also binds the lesser known VSIG8. However, further studies are required to clarify the VISTA/ligand pathways [365] (Figure 1). Physiologically, VISTA contributes in maintaining cell and myeloid quiescence. The ligand binding induces immune suppression. Indeed, VISTA inhibits T cell activation by TCR phosphorylation. Furthermore, VISTA expressed by APCs binds the coinhibitory receptor on T cells, inducing their suppression [357,365].

2.12.2. VISTA, a Potential Target for Cancer Immunotherapy

Recently, VISTA was demonstrated as a potential and powerful immune checkpoint. JNJ-61610588, a human IgG1 mAb against VISTA, was the first antibody tested in a phase I trial (NCT02671955) in patients with solid advanced tumors (lung, pancreas, cervical, colorectal, head and neck), whose data analysis is still ongoing. Similarly, patients with relapsed/refractory solid tumors are being recruited for another phase I clinical trial (NCT04475523) to test CI-8993, a human IgG1k monoclonal anti-VISTA ligand antibody. Moreover, combination therapies blocking VISTA and PD-1 or VISTA and PD-L1/2 have been tested to improve T cell functionality and reduce tumor growth. For instance, CA-170, which targets VISTA and PD-L1/2, increased T cell activation and cytokine secretion in a phase I trial conducted in patients with advanced solid cancers and lymphoma (NCT02812875). Detailed information and other clinical trials are listed in Table 1.

2.13. mARTs as Promising Immune Checkpoint Targets in Cancer

Mono-ADP-ribosyl transferases (mARTs) utilize NAD+ as a substrate and transfer mono-ADP-ribosyl (MAR) moieties to target proteins to modify cellular functions posttranslationally. They are related to the PARPs, but most of them, unlike PARPs, have a presence on the cell surface [366]. Pioneering work from Wennerberg and Mukherjee et. al. has recently shown a novel role of tumor cells expressing mono-ADP-ribosyl transferase 1 (ART1) in triggering immunosuppression in pre-clinical mouse models of NSCLC and melanoma. These studies showed that ART1 expressed by tumor cells caused NAD+-induced mono-ADP ribosylation (MARylation) and the subsequent cell death (NICD − NAD+-induced cell death) of cytotoxic CD8 T cells and DCs to enhance the tumor burden in different murine tumor models. Interestingly, inhibiting ART1 expression by genetic ablation or blocking ART1’s enzymatic activity using a humanized monoclonal activity triggered a robust antitumor immune response, which resulted in a significant reduction in tumor burden [367,368,369,370]. Further studies are warranted in other tumor models to study the role of ART1 as a regulator of immunosuppression in the TME. Additionally, combination studies involving ART1 inhibitors with ICIs in pre-clinical cancer models will be important to determine their synergism in therapy (Figure 1).

3. Discussion

Despite many ICIs approved for clinical use and others undergoing clinical trials, there are still major challenges. The repertoire of ICIs needs to be increased so that patients with different cancer types positively respond to them. Additionally, we need to focus on overcoming the acquired resistance to ICI therapy. The success of a PD-L1 blocker depends on the relative expression of PD-L1 in a variety of tumor cells. Cancers with lower levels of expression are therefore poor responders to these therapeutics. This situation warrants the identification of biomarkers to personalize treatment and achieve better outcomes. Researchers have realized with time that the success of PD-1/PD-L1 antibody treatment with or without combination therapies directed against other immune checkpoint modulators depends primarily on the state of the TME. This TME can be strongly immunogenic (hot), with high expression of PD-L1 and cytokines, or non-immunogenic (cold), with almost no PD-L1 expression and no T cell infiltration [371]. Several combination therapies with PD-1/PD-L1 antibodies are being explored to obtain synergistic responses. This combination may include PD-1/PD-L1 antibodies to be used along with other immune checkpoint inhibitors (e.g., CTLA-4 antibodies), neoantigen tumor vaccines, antiviral drugs, anti-microbiome modulators, chemotherapy, and radiation therapy [67]. These newer ICI targets and combination therapies are at an initial phase and showing very promising results. Therefore, further research is needed to assess their safety and efficacy so as to develop better treatment modalities for cancer.
This review has touched upon some of the newer ICI targets but not all of them. There exist other promising targets, such as PVRIG/PVRL2, ICOS, GITR, etc., which are currently being tested in the clinic but have not been expanded upon in this review due to limitations of space [372]. Other, newer targets and pathways are being discovered in various pre-clinical cancer models that hold immense cancer therapy potential. Such examples include, but are not limited to, the KIR3DL3-HHLA2 axis, the KIR2DL5/PVR pathway, GPR56, and HVEM/BTLA [373,374,375,376].
In addition to the newly developed targets mentioned above, other strategies in immunotherapy are gaining prominence and showing promising results in pre-clinical and clinical studies. These studies include the important role of microRNAs, mRNAs, and CRISPR-Cas9 technology, as immunotherapeutic strategies.
MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at the posttranscriptional level, usually by binding to the 3′-UTR of mRNAs [377]. Apart from their multifunctional roles in various physiological and pathological processes of the immune system, miRNAs have been demonstrated to strongly influence immune checkpoint (IC) genes, which in turn have made them an attractive candidate to develop as an immunotherapeutic agent in combination with ICIs [378]. Besides conventional markers to predict the response to ICIs, such as PD-L1 expression and tumor mutational burden, pretreatment serum miRNAs have also found use as a non-invasive diagnostic marker to select patients most likely to benefit from immune checkpoint blockade [379,380]. One study demonstrated that circulating fibroblast growth factor receptor 1 (circFGFR1), functioning as a miRNA sponge of miR-381-3p, induced therapeutic resistance to PD-1 blockade [381]. Nakahara et al. reported that significantly high levels of miR-16-5p, miR-17-5p, and miR-20a-5p marked the responders among melanoma patients receiving anti-PD-1 therapy [382]. Therapy with miRNA can either lead to the restoration of miRNA function (miRNA mimics) or the downregulation of miRNA function (miRNA repression). Delivery systems for miRNAs can be local (i.e., injected directly to the tumor site or delivered topically to the skin) as well as systemic (i.e., via viral vectors, exosomes, or nanoparticles) [383]. Both modes of delivery have faced many challenges since their inception, and, in order to achieve the desired therapeutic effect of miRNA, several obstacles, such as avoiding degradation in the bloodstream, tumor tissue penetration, adequate cellular uptake, and the prevention of off-target effects, must be tackled effectively [384]. Some phase I clinical trials have tested the therapeutic delivery of miRNAs to cancer patients, with modest results. For example, Beg et al. reported the therapeutic use of a liposomal miR-34a mimic (MRX34) for advanced solid tumors refractory (NCT01829971) to all standard treatments, resulting in partial remission, but it lead to dose-limiting renal, pulmonary, and gastrointestinal side effects [385]. In another phase 1 trial, miR-16 was used via delivery in “minicells” targeted to EGFR (called TargomiRs) in patients with advanced mesothelioma (NCT02369198) resistant to standard therapy, but the success of partial remission was overshadowed by side effects of severe cardiac toxicity, fever, and chills [386] Another trial with a miRNA-based approach used cobomarsen, an inhibitor of miR-155, in patients with mycosis fungoides (NCT02580552 clinicaltrials.gov). Cobomarsen has shown potent activity against mycosis fungoides and diffuse large B cell lymphoma and is under evaluation [387,388]. At present, the clinical trial data are somewhat discouraging; however, these trials have brought about relevant translational observations. However, with growing pre-clinical evidence interconnecting immune checkpoint blockade and miRNA therapy, the future holds a great deal of promise.
mRNA therapy is a unique anticancer strategy based on in vitro transcription (IVT), which has shown great promise for the treatment of malignant tumors. mRNA vaccines have emerged as a novel class of cancer vaccines, capable of encoding and expressing tumor-associated antigens (TAAs) or tumor-specific antigens (TSAs) and their associated cytokines [389]. Developing effective delivery systems poses a major challenge to mRNA therapy and, as such, the FDA has approved mRNA vaccines using lipid nanoparticles (LNP) delivery platforms, which are effective for both cell-mediated and humoral immunity [390,391]. mRNA-based vaccines based on IVT are gradually being produced for several tumor treatments. As of now, mRNA cancer vaccines have been classified as encoding TSAs, TAAs, antibodies, and cytokines depending on the type of final product. The majority of clinical trials have applied mRNA cancer vaccines to treat aggressive, refractory, and metastatic tumors. Interim analysis derived from a phase I trial (NCT02410733) demonstrated that BNT111 (the lead product candidate from BioNTech’s fully owned FixVac platform) is a potent immunotherapy in melanoma patients already treated with immune checkpoint inhibitors [392]. mRNA vaccines that encode a large number of mutated antigens show great promise for treating mutation-induced malignancies. Phase I trial data showed that mRNA-4157 (a Moderna vaccine) monotherapy or in combination with the PD-1 inhibitor Keytruda (NCT03313778) was effective by triggering a neoantigen-specific T cell response and had minimal side effects at all doses tested. Promising phase I trial results led to a phase II clinical trial involving the personalized cancer vaccine mRNA-4157 (NCT03897881) for the treatment of cutaneous melanoma [393]. Personalized mRNA vaccines are now the target of future research for developing precision tumor treatments.
The CRISPR-Cas9 system inactivates genes at the DNA level, which enables the phenotypic study of a loss of gene function to be elicited. Additionally, this technology provides the functional interrogation of non-transcribed, inaccessible elements employing RNA interference. Loss-of-function genetic screens have increasingly been used to study the functional consequences of gene deletion in tumor cells [394,395,396]. This approach includes the pooled genetic screens using CRISPR-Cas9-medicated genome editing, which can potentially evaluate the role of tumor cell growth, viability, or drug resistance [397]. In 2017, Manguso et al. demonstrated that CRISPR-Cas9 genome editing in transplantable tumors in mice treated with immunotherapy with PD-1 checkpoint blockade improved the immunotherapy targets. By testing 2368 genes expressed by melanoma cells, they identified that tumors were sensitized to immunotherapy by the deletion of genes involved in several diverse pathways, including NF-κB signaling, antigen presentation, and the unfolded protein response. Additionally, deletion of the protein tyrosine phosphatase PTPN2 in tumor cells increased the efficacy of the immunotherapy by enhancing the interferon-γ-mediated effects on antigen presentation and growth suppression [396]. CRISPR-Cas9 genome knock-in was also efficiently introduced by Eyquem et al. in 2017, with the recent development of a CD19-specific chimeric antigen receptor (CAR) to the TRAC locus (T cell receptor α constant), which results in uniform CAR expression in human peripheral blood T cells. Additionally, it also enhances T cell potency with the edited cells, which immensely outperformed the conventionally generated CAR T cells in a mouse model of acute lymphoblastic leukemia [398]. Stadtmauer et al. demonstrated, in a phase I first-in-human pilot study (clinical trial; NCT03399448), the initial safety and feasibility of multiplex CRISPR-Cas9 T cell human genome engineering in patients with advanced, refractory cancer [399]. It was found that HLA-E was more frequently expressed than PD-L1 in several types of cancer, including Merkel cell carcinoma, and, additionally, the in vivo CRISPR screening knock-out of Qa1b led to the increased efficacy of immunotherapy by PD-1 blockade. These results highlight the need for combination therapy strategies using a combination of mAbs blocking the PD-x and NKG2A/HLA-E inhibitory pathways [17,153,396,400]. Xiao Zhang et al., in 2021, also provided vital information in the field of immunotherapy, namely that the anti-PD-1 response was significantly enhanced in tumors lacking both TAP1 and Qa-1b by knocking out these genes using CRISPR-Cas9 gene editing technology in a B16-F10 melanoma cell line and mice model [401]. The ongoing clinical trials (NCT04426669 (phase 1/2), NCT04035434 (phase 1/2)) on immunotherapeutic agents that are associated with CRISPR-Cas9-mediated cancer immunotherapy include tumor-infiltrating lymphocyte cells for gastrointestinal epithelial cancer, colorectal cancer, pancreatic cancer, gallbladder cancer, and esophageal cancer. NCT03398967 and NCT03166878 (both at phase 1/2), designed to target CD19, CD20, and CD22 on B cells, are associated with B cell leukemia and B cell lymphoma immunotherapy [402]. Additionally, clinical trials with CRISPR-Cas9-mediated PD-1-knock-out autologous T cells are also underway for prostate cancer (NCT02867345), bladder cancer (NCT02863913), and renal cell carcinoma (NCT02867332) [403].
A deeper and better understanding of the novel inhibitor pathways being currently studied is warranted. Moreover, further exploration of the miRNA, mRNA, and CRISPR-Cas9-mediated cancer immunotherapeutic approaches is also needed. The discovery of more targets and other such cutting-edge approaches will help to improve the applications of cancer immunotherapy and will aid in designing future clinical trials, expanding the spectrum of cancer patients benefitting from cancer immunotherapy.

Author Contributions

S.S. and S.M. developed the layout, concept, and the plan for the manuscript. S.D., A.G., K.C., S.S., and S.M. wrote, drafted, and compiled the manuscript. All the authors edited and revised the manuscript as suggested by the corresponding authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research has received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

No conflict of interest is declared for this work.

Abbreviations

A2ARadenosine A2A receptor
ADCCantibody-dependent cellular cytotoxicity
AMLacute myeloid leukemia
APCantigen-presenting cells
ART1mono-ADP-ribosyl transferase 1
ATCactivated T cells
ATPadenosine triphosphate
(CAR)-Tchimeric antigen receptor T cell
CDcluster of differentiation
CRCcolorectal cancer
CREBcAMP response element-binding protein
CRISPRclustered regularly interspaced short palindromic repeats
CTLcytotoxic T lymphocytes
CTLA-4cytotoxic T-lymphocyte-associated protein 4
DCdendritic cells
DSBdouble-strand break
EMTepithelial-to-mesenchymal transition
FGL1fibrinogen-like protein 1
Gal-9galectin-9
GITRglucocorticoid-induced tumor necrosis factor receptor-related protein
GPCRG-protein-coupled receptor
HAVCR2hepatitis A virus cellular receptor 2
HCChepatocellular carcinoma
HDAChistone deacetylase
HIFhypoxia-inducible factor
HLAhuman leukocyte antigen
HMGB1High Mobility Group Box 1
HNSCChead and neck squamous cell carcinoma
IAPintegrin-related protein
ICBimmune checkpoint blockade
ICIimmune checkpoint inhibitor
ICOSinducible T cell COStimulator
IFN γinterferon-γ
IGimmunoglobulin
IL-10interleukin-10
IL-15Rinterleukin15 receptor
IL-2interleukin-2
IL-4interleukin-4
ITIMimmune receptor tyrosine-based inhibitory motif
ITSMimmune receptor tyrosine-based switch motif
LAG-3lymphocyte activation gene-3
MARmono-ADP-ribosyl
mARTmono-ADP-ribosyl transferase
MDSCmyeloid-derived suppressor cells
MHCmajor histocompatibility complex
miRNAmicro-RNA
mRNAmessenger RNA
MMPmatrix metalloproteinases
mAbMonoclonal antibody
NECA5′-(N-ethylcarboxamido) adenosine
NHLnon-Hodgkin’s lymphoma
NICDNAD+-induced cell death
NKnatural killer
NKAEactivated and expanded NK cells
NKG2D/Anatural killer group 2D/A
NKG2DLNKG2D ligand
NSCLCnon-small-cell lung cancer
ORRobjective response rate
MARpoly-ADP-ribosyl
PARPpoly-ADP-ribose polymerase
PD-1programmed cell death protein 1
PD-L1/2programmed cell death ligand 1/2
PI3Kphosphatidylinositol 3-kinase
PKD2protein kinase D isoform 2
PRRpattern recognition receptor
PSGL-1P-selectin glycoprotein ligand 1
Ptdserphosphatidylserine
PTENphosphatase and TENsin homolog
PTPaseprotein tyrosine phosphatases
SCLCsmall cell lung cancer
SIRPαsignal regulatory protein α
STINGstimulator of interferon genes
TAAtumor-associated antigen
TCRT cell receptor
TIGITT cell immunoreceptor with immunoglobulin and ITIM domain
TILtumor-infiltrating lymphocyte
TIM-3T cell immunoglobulin and mucin domain 3
TLR7toll-like receptor 7
TMEtumor microenvironment
TNBCtriple-negative breast cancer
TNF αtumor necrosis factor-α
Tregregulatory T cell
TRIMT cell interacting molecule
TSAtumor-specific antigen
VEGFvascular endothelial growth factor
VISTAV-domain Ig suppressor of T cell activation
WNTwingless-related integration site

References

  1. Beatty, G.L.; Gladney, W.L. Immune Escape Mechanisms as a Guide for Cancer ImmunotherapyTailoring Cancer Immunotherapy. Clin. Cancer Res. 2015, 21, 687–692. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Burnet, F. The concept of immunological surveillance. Immunol. Asp. Neoplasia 1970, 13, 1–27. [Google Scholar]
  3. Thomas, L. On immunosurveillance in human cancer. Yale J. Biol. Med. 1982, 55, 329. [Google Scholar] [PubMed]
  4. Schreiber, P.D.; Old, L.J.; Smyth, M.J. Cancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion. Science 2011, 331, 1565–1570. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Mardis, E.R. Neoantigens and genome instability: Impact on immunogenomic phenotypes and immunotherapy response. Genome Med. 2019, 11, 71. [Google Scholar] [CrossRef] [PubMed]
  6. Mosmann, T.; Sad, S. The Expanding Universe of T-cell subsets: Th1, Th2 and More. Immunol. Today 1996, 17, 138. [Google Scholar] [CrossRef]
  7. Zou, W. Immunosuppressive networks in the tumour environment and their therapeutic relevance. Nat. Rev. Cancer 2005, 5, 263–274. [Google Scholar] [CrossRef]
  8. Ferrone, C.; Dranoff, G. Dual roles for immunity in gastrointestinal cancers. J. Clin. Oncol. 2010, 28, 4045. [Google Scholar] [CrossRef] [Green Version]
  9. Bader, L.; Solberg, S.; Kaada, S.; Bolstad, N.; Warren, D.; Gavasso, S.; Gjesdal, C.; Vedeler, C. Assays for infliximab drug levels and antibodies: A matter of scales and categories. Scand. J. Immunol. 2017, 86, 165–170. [Google Scholar] [CrossRef]
  10. Buchbinder, E.I.; Desai, A. CTLA-4 and PD-1 pathways: Similarities, differences, and implications of their inhibition. Am. J. Clin. Oncol. 2016, 39, 98. [Google Scholar] [CrossRef] [Green Version]
  11. Baumeister, S.H.; Freeman, G.J.; Dranoff, G.; Sharpe, A.H. Coinhibitory Pathways in Immunotherapy for Cancer. Annu. Rev. Immunol. 2016, 34, 539–573. [Google Scholar] [CrossRef]
  12. Chen, D.S.; Mellman, I. Elements of cancer immunity and the cancer–immune set point. Nature 2017, 541, 321–330. [Google Scholar] [CrossRef]
  13. Okazaki, T.; Honjo, T. PD-1 and PD-1 ligands: From discovery to clinical application. Int. Immunol. 2007, 19, 813–824. [Google Scholar] [CrossRef] [Green Version]
  14. Zhou, X.; Ni, Y.; Liang, X.; Lin, Y.; An, B.; He, X.; Zhao, X. Mechanisms of tumor resistance to immune checkpoint blockade and combination strategies to overcome resistance. Front. Immunol. 2022, 13, 915094. [Google Scholar] [CrossRef]
  15. Le Dréan, E.; Vély, F.; Olcese, L.; Cambiaggi, A.; Guia, S.; Krystal, G.; Gervois, N.; Moretta, A.; Jotereau, F.; Vivier, E. Inhibition of antigen-induced T cell response and antibody-induced NK cell cytotoxicity by NKG2A: Association of NKG2A with SHP-1 and SHP-2 protein-tyrosine phosphatases. Eur. J. Immunol. 1998, 28, 264–276. [Google Scholar] [CrossRef]
  16. Haanen, J.B.; Cerundolo, V. NKG2A, a New Kid on the Immune Checkpoint Block. Cell 2018, 175, 1720–1722. [Google Scholar] [CrossRef] [Green Version]
  17. André, P.; Denis, C.; Soulas, C.; Bourbon-Caillet, C.; Lopez, J.; Arnoux, T.; Bléry, M.; Bonnafous, C.; Gauthier, L.; Morel, A.; et al. Anti-NKG2A mAb Is a Checkpoint Inhibitor that Promotes Anti-tumor Immunity by Unleashing Both T and NK Cells. Cell 2018, 175, 1731–1743.e13. [Google Scholar] [CrossRef] [Green Version]
  18. Han, Y.; Liu, D.; Li, L. PD-1/PD-L1 pathway: Current researches in cancer. Am. J. Cancer Res. 2020, 10, 727. [Google Scholar]
  19. Ceeraz, S.; Nowak, E.C.; Noelle, R.J. B7 family checkpoint regulators in immune regulation and disease. Trends Immunol. 2013, 34, 556–563. [Google Scholar] [CrossRef] [Green Version]
  20. Neel, B.G.; Gu, H.; Pao, L. The ‘Shp’ing news: SH2 domain-containing tyrosine phosphatases in cell signaling. Trends Biochem. Sci. 2003, 28, 284–293. [Google Scholar] [CrossRef]
  21. Riley, J.L. PD-1 signaling in primary T cells. Immunol. Rev. 2009, 229, 114–125. [Google Scholar] [CrossRef]
  22. Polesso, F.; Weinberg, A.D.; Moran, A.E. Late-Stage Tumor Regression after PD-L1 Blockade Plus a Concurrent OX40 AgonistLarge Tumors Regress with Anti–PD-L1 and Anti-OX40 Treatment. Cancer Immunol. Res. 2019, 7, 269–281. [Google Scholar] [CrossRef] [PubMed]
  23. Francisco, L.M.; Salinas, V.H.; Brown, K.E.; Vanguri, V.K.; Freeman, G.J.; Kuchroo, V.K.; Sharpe, A.H. PD-L1 regulates the development, maintenance, and function of induced regulatory T cells. J. Exp. Med. 2009, 206, 3015–3029. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Spranger, S.; Spaapen, R.M.; Zha, Y.; Williams, J.; Meng, Y.; Ha, T.T.; Gajewski, T.F. Up-regulation of PD-L1, IDO, and Tregs in the melanoma tumor microenvironment is driven by CD8+ T cells. Sci. Transl. Med. 2013, 5, 200ra116. [Google Scholar] [CrossRef] [Green Version]
  25. Thompson, R.H.; Gillett, M.D.; Cheville, J.C.; Lohse, C.M.; Dong, H.; Webster, W.S.; Chen, L.; Zincke, H.; Blute, M.L.; Leibovich, B.C. Costimulatory molecule B7-H1 in primary and metastatic clear cell renal cell carcinoma. Cancer Interdiscip. Int. J. Am. Cancer Soc. 2005, 104, 2084–2091. [Google Scholar] [CrossRef]
  26. Bernstein, M.B.; Garnett, C.T.; Zhang, H.; Velcich, A.; Wattenberg, M.M.; Gameiro, S.R.; Kalnicki, S.; Hodge, J.W.; Guha, C. Radiation-induced modulation of costimulatory and coinhibitory T-cell signaling molecules on human prostate carcinoma cells promotes productive antitumor immune interactions. Cancer Biother. Radiopharm. 2014, 29, 153–161. [Google Scholar] [CrossRef] [Green Version]
  27. Taube, J.M.; Anders, R.A.; Young, G.D.; Xu, H.; Sharma, R.; McMiller, T.L.; Chen, S.; Klein, A.P.; Pardoll, D.M.; Topalian, S.L. Colocalization of inflammatory response with B7-h1 expression in human melanocytic lesions supports an adaptive resistance mechanism of immune escape. Sci. Transl. Med. 2012, 4, 127ra37. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Dong, H.; Strome, S.E.; Salomao, D.R.; Tamura, H.; Hirano, F.; Flies, D.B.; Roche, P.C.; Lu, J.; Zhu, G.; Tamada, K. Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion. Nat. Med. 2002, 8, 793–800. [Google Scholar] [CrossRef] [PubMed]
  29. Bonam, S.R.; Chauvin, C.; Mathew, M.J.; Bayry, J. IFN-γ Induces PD-L1 Expression in Primed Human Basophils. Cells 2022, 11, 801. [Google Scholar] [CrossRef] [PubMed]
  30. Kondo, A.; Yamashita, T.; Tamura, H.; Zhao, W.; Tsuji, T.; Shimizu, M.; Shinya, E.; Takahashi, H.; Tamada, K.; Chen, L. Interferon-γ and tumor necrosis factor-α induce an immunoinhibitory molecule, B7-H1, via nuclear factor-κB activation in blasts in myelodysplastic syndromes. Blood J. Am. Soc. Hematol. 2010, 116, 1124–1131. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  31. Sznol, M.; Chen, L. Antagonist antibodies to PD-1 and B7-H1 (PD-L1) in the treatment of advanced human cancer. Clin. Cancer Res. 2013, 19, 1021–1034. [Google Scholar] [CrossRef] [Green Version]
  32. Parsa, A.T.; Waldron, J.S.; Panner, A.; Crane, C.A.; Parney, I.F.; Barry, J.J.; Cachola, K.E.; Murray, J.C.; Tihan, T.; Jensen, M.C. Loss of tumor suppressor PTEN function increases B7-H1 expression and immunoresistance in glioma. Nat. Med. 2007, 13, 84–88. [Google Scholar] [CrossRef] [PubMed]
  33. Dong, P.; Xiong, Y.; Yue, J.; Hanley, S.J.B.; Watari, H. Tumor-Intrinsic PD-L1 Signaling in Cancer Initiation, Development and Treatment: Beyond Immune Evasion. Front. Oncol. 2018, 8, 386. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Kammerer-Jacquet, S.-F.; Deleuze, A.; Saout, J.; Mathieu, R.; Laguerre, B.; Verhoest, G.; Dugay, F.; Belaud-Rotureau, M.-A.; Bensalah, K.; Rioux-Leclercq, N. Targeting the PD-1/PD-L1 pathway in renal cell carcinoma. Int. J. Mol. Sci. 2019, 20, 1692. [Google Scholar] [CrossRef] [Green Version]
  35. Nunes-Xavier, C.E.; Angulo, J.C.; Pulido, R.; Lopez, J.I. A Critical Insight into the Clinical Translation of PD-1/PD-L1 Blockade Therapy in Clear Cell Renal Cell Carcinoma. Curr. Urol. Rep. 2019, 20, 1. [Google Scholar] [CrossRef]
  36. Ramsay, A.G. Immune checkpoint blockade immunotherapy to activate anti-tumour T-cell immunity. Br. J. Haematol. 2013, 162, 313–325. [Google Scholar] [CrossRef] [PubMed]
  37. Li, J.; Jie, H.B.; Lei, Y.; Gildener-Leapman, N.; Trivedi, S.; Green, T.; Kane, L.P.; Ferris, R.L. PD-1/SHP-2 inhibits Tc1/Th1 phenotypic responses and the activation of T cells in the tumor microenvironment. Cancer Res. 2015, 75, 508–518. [Google Scholar] [CrossRef] [Green Version]
  38. Sharma, V.R.; Gupta, G.K.; Sharma, A.K.; Batra, N.; Sharma, D.K.; Joshi, A.; Sharma, A.K. PI3K/Akt/mTOR Intracellular Pathway and Breast Cancer: Factors, Mechanism and Regulation. Curr. Pharm. Des. 2017, 23, 1633–1638. [Google Scholar] [CrossRef]
  39. O’Donnell, J.S.; Massi, D.; Teng, M.W.; Mandala, M. PI3K-AKT-mTOR inhibition in cancer immunotherapy, redux. Semin. Cancer Biol. 2018, 48, 91–103. [Google Scholar] [CrossRef] [Green Version]
  40. Zhao, R.; Song, Y.; Wang, Y.; Huang, Y.; Li, Z.; Cui, Y.; Yi, M.; Xia, L.; Zhuang, W.; Wu, X. PD-1/PD-L1 blockade rescue exhausted CD8+ T cells in gastrointestinal stromal tumours via the PI3K/Akt/mTOR signalling pathway. Cell Prolif. 2019, 52, e12571. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Wang, Y.; Wang, D.; Xie, G.; Yin, Y.; Zhao, E.; Tao, K.; Li, R. MicroRNA-152 regulates immune response via targeting B7-H1 in gastric carcinoma. Oncotarget 2017, 8, 28125–28134. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Stutvoet, T.S.; Kol, A.; de Vries, E.G.; de Bruyn, M.; Fehrmann, R.S.; Terwisscha van Scheltinga, A.G.; de Jong, S. MAPK pathway activity plays a key role in PD-L1 expression of lung adenocarcinoma cells. J. Pathol. 2019, 249, 52–64. [Google Scholar] [CrossRef]
  43. Jahangir, M.; Yazdani, O.; Kahrizi, M.S.; Soltanzadeh, S.; Javididashtbayaz, H.; Mivefroshan, A.; Ilkhani, S.; Esbati, R. Clinical potential of PD-1/PD-L1 blockade therapy for renal cell carcinoma (RCC): A rapidly evolving strategy. Cancer Cell Int. 2022, 22, 401. [Google Scholar] [CrossRef] [PubMed]
  44. Ishikawa, T.; Okayama, T.; Oka, K.; Mizushima, K.; Yasuda, T.; Sakamoto, N.; Katada, K.; Kamada, K.; Uchiyama, K.; Handa, O. The JAK/STAT pathway is involved in the upregulation of PD-L1 expression in pancreatic cancer cell lines. Oncol. Rep. 2017, 37, 1545–1554. [Google Scholar]
  45. Galluzzi, L.; Spranger, S.; Fuchs, E.; López-Soto, A. WNT signaling in cancer immunosurveillance. Trends Cell Biol. 2019, 29, 44–65. [Google Scholar] [CrossRef]
  46. Castagnoli, L.; Cancila, V.; Cordoba-Romero, S.L.; Faraci, S.; Talarico, G.; Belmonte, B.; Iorio, M.V.; Milani, M.; Volpari, T.; Chiodoni, C. WNT signaling modulates PD-L1 expression in the stem cell compartment of triple-negative breast cancer. Oncogene 2019, 38, 4047–4060. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Bi, X.-w.; Wang, H.; Zhang, W.-w.; Wang, J.-h.; Liu, W.-j.; Xia, Z.-j.; Huang, H.-q.; Jiang, W.-q.; Zhang, Y.-j.; Wang, L. PD-L1 is upregulated by EBV-driven LMP1 through NF-κB pathway and correlates with poor prognosis in natural killer/T-cell lymphoma. J. Hematol. Oncol. 2016, 9, 109. [Google Scholar] [CrossRef] [Green Version]
  48. Peng, J.; Hamanishi, J.; Matsumura, N.; Abiko, K.; Murat, K.; Baba, T.; Yamaguchi, K.; Horikawa, N.; Hosoe, Y.; Murphy, S.K. Chemotherapy induces programmed cell death-ligand 1 overexpression via the nuclear factor-κB to foster an immunosuppressive tumor microenvironment in ovarian cancer. Cancer Res. 2015, 75, 5034–5045. [Google Scholar] [CrossRef] [Green Version]
  49. Chakrabarti, J.; Holokai, L.; Syu, L.; Steele, N.G.; Chang, J.; Wang, J.; Ahmed, S.; Dlugosz, A.; Zavros, Y. Hedgehog signaling induces PD-L1 expression and tumor cell proliferation in gastric cancer. Oncotarget 2018, 9, 37439. [Google Scholar] [CrossRef] [Green Version]
  50. Dong, L.; Huang, J.; Gao, X.; Du, J.; Wang, Y.; Zhao, L. CircPCBP2 promotes the stemness and chemoresistance of DLBCL via targeting miR-33a/b to disinhibit PD-L1. Cancer Sci. 2022, 113, 2888. [Google Scholar] [CrossRef]
  51. Boldrini, L.; Giordano, M.; Niccoli, C.; Melfi, F.; Lucchi, M.; Mussi, A.; Fontanini, G. Role of microRNA-33a in regulating the expression of PD-1 in lung adenocarcinoma. Cancer Cell Int. 2017, 17, 105. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. Li, Q.; Johnston, N.; Zheng, X.; Wang, H.; Zhang, X.; Gao, D.; Min, W. miR-28 modulates exhaustive differentiation of T cells through silencing programmed cell death-1 and regulating cytokine secretion. Oncotarget 2016, 7, 53735. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Wei, J.; Nduom, E.K.; Kong, L.-Y.; Hashimoto, Y.; Xu, S.; Gabrusiewicz, K.; Ling, X.; Huang, N.; Qiao, W.; Zhou, S. MiR-138 exerts anti-glioma efficacy by targeting immune checkpoints. Neuro-Oncology 2016, 18, 639–648. [Google Scholar] [CrossRef]
  54. Kao, S.C.; Cheng, Y.Y.; Williams, M.; Kirschner, M.B.; Madore, J.; Lum, T.; Sarun, K.H.; Linton, A.; McCaughan, B.; Klebe, S. Tumor suppressor microRNAs contribute to the regulation of PD-L1 expression in malignant pleural mesothelioma. J. Thorac. Oncol. 2017, 12, 1421–1433. [Google Scholar] [CrossRef] [Green Version]
  55. Wang, X.; Li, J.; Dong, K.; Lin, F.; Long, M.; Ouyang, Y.; Wei, J.; Chen, X.; Weng, Y.; He, T. Tumor suppressor miR-34a targets PD-L1 and functions as a potential immunotherapeutic target in acute myeloid leukemia. Cell. Signal. 2015, 27, 443–452. [Google Scholar] [CrossRef]
  56. Cioffi, M.; Trabulo, S.M.; Vallespinos, M.; Raj, D.; Kheir, T.B.; Lin, M.-L.; Begum, J.; Baker, A.-M.; Amgheib, A.; Saif, J. The miR-25-93-106b cluster regulates tumor metastasis and immune evasion via modulation of CXCL12 and PD-L1. Oncotarget 2017, 8, 21609. [Google Scholar] [CrossRef] [Green Version]
  57. Zhao, L.; Yu, H.; Yi, S.; Peng, X.; Su, P.; Xiao, Z.; Liu, R.; Tang, A.; Li, X.; Liu, F. The tumor suppressor miR-138-5p targets PD-L1 in colorectal cancer. Oncotarget 2016, 7, 45370. [Google Scholar] [CrossRef] [Green Version]
  58. Jia, L.; Xi, Q.; Wang, H.; Zhang, Z.; Liu, H.; Cheng, Y.; Guo, X.; Zhang, J.; Zhang, Q.; Zhang, L. miR-142-5p regulates tumor cell PD-L1 expression and enhances anti-tumor immunity. Biochem. Biophys. Res. Commun. 2017, 488, 425–431. [Google Scholar] [CrossRef] [PubMed]
  59. Mastroianni, J.; Stickel, N.; Andrlova, H.; Hanke, K.; Melchinger, W.; Duquesne, S.; Schmidt, D.; Falk, M.; Andrieux, G.; Pfeifer, D. miR-146a controls immune response in the melanoma microenvironment. Cancer Res. 2019, 79, 183–195. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Chen, L.; Gibbons, D.L.; Goswami, S.; Cortez, M.A.; Ahn, Y.-H.; Byers, L.A.; Zhang, X.; Yi, X.; Dwyer, D.; Lin, W. Metastasis is regulated via microRNA-200/ZEB1 axis control of tumour cell PD-L1 expression and intratumoral immunosuppression. Nat. Commun. 2014, 5, 5241. [Google Scholar] [CrossRef] [Green Version]
  61. Xu, S.; Tao, Z.; Hai, B.; Liang, H.; Shi, Y.; Wang, T.; Song, W.; Chen, Y.; OuYang, J.; Chen, J. miR-424 (322) reverses chemoresistance via T-cell immune response activation by blocking the PD-L1 immune checkpoint. Nat. Commun. 2016, 7, 11406. [Google Scholar] [CrossRef] [Green Version]
  62. Wang, Q.-M.; Lian, G.-Y.; Song, Y.; Huang, Y.-F.; Gong, Y. LncRNA MALAT1 promotes tumorigenesis and immune escape of diffuse large B cell lymphoma by sponging miR-195. Life Sci. 2019, 231, 116335. [Google Scholar] [CrossRef]
  63. Fan, F.; Chen, K.; Lu, X.; Li, A.; Liu, C.; Wu, B. Dual targeting of PD-L1 and PD-L2 by PCED1B-AS1 via sponging hsa-miR-194-5p induces immunosuppression in hepatocellular carcinoma. Hepatol. Int. 2021, 15, 444–458. [Google Scholar] [CrossRef]
  64. Zhao, L.; Liu, Y.; Zhang, J.; Liu, Y.; Qi, Q. LncRNA SNHG14/miR-5590-3p/ZEB1 positive feedback loop promoted diffuse large B cell lymphoma progression and immune evasion through regulating PD-1/PD-L1 checkpoint. Cell Death Dis. 2019, 10, 731. [Google Scholar] [CrossRef] [Green Version]
  65. Song, H.; Liu, Y.; Li, X.; Chen, S.; Xie, R.; Chen, D.; Gao, H.; Wang, G.; Cai, B.; Yang, X. Long noncoding RNA CASC11 promotes hepatocarcinogenesis and HCC progression through EIF4A3-mediated E2F1 activation. Clin. Transl. Med. 2020, 10, e220. [Google Scholar] [CrossRef]
  66. Zhang, H.; Zhu, C.; He, Z.; Chen, S.; Li, L.; Sun, C. LncRNA PSMB8-AS1 contributes to pancreatic cancer progression via modulating miR-382-3p/STAT1/PD-L1 axis. J. Exp. Clin. Cancer Res. 2020, 39, 179. [Google Scholar] [CrossRef]
  67. Zhu, F.; Niu, R.; Shao, X.; Shao, X. FGD5-AS1 promotes cisplatin resistance of human lung adenocarcinoma cell via the miR-142-5p/PD-L1 axis. Int. J. Mol. Med. 2021, 47, 523–532. [Google Scholar] [CrossRef]
  68. Haderk, F.; Schulz, R.; Iskar, M.; Cid, L.L.; Worst, T.; Willmund, K.V.; Schulz, A.; Warnken, U.; Seiler, J.; Benner, A. Tumor-derived exosomes modulate PD-L1 expression in monocytes. Sci. Immunol. 2017, 2, eaah5509. [Google Scholar] [CrossRef] [Green Version]
  69. Gabrusiewicz, K.; Li, X.; Wei, J.; Hashimoto, Y.; Marisetty, A.L.; Ott, M.; Wang, F.; Hawke, D.; Yu, J.; Healy, L.M. Glioblastoma stem cell-derived exosomes induce M2 macrophages and PD-L1 expression on human monocytes. Oncoimmunology 2018, 7, e1412909. [Google Scholar] [CrossRef] [Green Version]
  70. Chen, G.; Huang, A.C.; Zhang, W.; Zhang, G.; Wu, M.; Xu, W.; Yu, Z.; Yang, J.; Wang, B.; Sun, H. Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response. Nature 2018, 560, 382–386. [Google Scholar] [CrossRef]
  71. Kathuria, H.; Millien, G.; McNally, L.; Gower, A.C.; Tagne, J.-B.; Cao, Y.; Ramirez, M.I. NKX2-1-AS1 negatively regulates CD274/PD-L1, cell-cell interaction genes, and limits human lung carcinoma cell migration. Sci. Rep. 2018, 8, 14418. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Zhong, Y.; Du, Y.; Yang, X.; Mo, Y.; Fan, C.; Xiong, F.; Ren, D.; Ye, X.; Li, C.; Wang, Y. Circular RNAs function as ceRNAs to regulate and control human cancer progression. Mol. Cancer 2018, 17, 79. [Google Scholar] [CrossRef] [PubMed]
  73. Patop, I.L.; Kadener, S. circRNAs in Cancer. Curr. Opin. Genet. Dev. 2018, 48, 121–127. [Google Scholar] [CrossRef]
  74. He, R.; Liu, P.; Xie, X.; Zhou, Y.; Liao, Q.; Xiong, W.; Li, X.; Li, G.; Zeng, Z.; Tang, H. circGFRA1 and GFRA1 act as ceRNAs in triple negative breast cancer by regulating miR-34a. J. Exp. Clin. Cancer Res. 2017, 36, 145. [Google Scholar] [CrossRef] [Green Version]
  75. Wang, Y.; Mo, Y.; Gong, Z.; Yang, X.; Yang, M.; Zhang, S.; Xiong, F.; Xiang, B.; Zhou, M.; Liao, Q. Circular RNAs in human cancer. Mol. Cancer 2017, 16, 25. [Google Scholar] [CrossRef] [Green Version]
  76. Zhang, X.l.; Xu, L.l.; Wang, F. Hsa_circ_0020397 regulates colorectal cancer cell viability, apoptosis and invasion by promoting the expression of the miR-138 targets TERT and PD-L1. Cell Biol. Int. 2017, 41, 1056–1064. [Google Scholar] [CrossRef]
  77. Zhen, S.; Lu, J.; Chen, W.; Zhao, L.; Li, X. Synergistic antitumor effect on bladder cancer by rational combination of programmed cell death 1 blockade and CRISPR-Cas9-mediated long non-coding RNA urothelial carcinoma associated 1 knockout. Hum. Gene Ther. 2018, 29, 1352–1363. [Google Scholar] [CrossRef]
  78. Jiang, Y.; Chen, M.; Nie, H.; Yuan, Y. PD-1 and PD-L1 in cancer immunotherapy: Clinical implications and future considerations. Hum. Vaccines Immunother. 2019, 15, 1111–1122. [Google Scholar] [CrossRef]
  79. Sanmamed, M.F.; Chen, L. A paradigm shift in cancer immunotherapy: From enhancement to normalization. Cell 2018, 175, 313–326. [Google Scholar] [CrossRef] [Green Version]
  80. Robert, C.; Long, G.V.; Brady, B.; Dutriaux, C.; Maio, M.; Mortier, L.; Hassel, J.C.; Rutkowski, P.; McNeil, C.; Kalinka-Warzocha, E. Nivolumab in previously untreated melanoma without BRAF mutation. N. Engl. J. Med. 2015, 372, 320–330. [Google Scholar] [CrossRef] [Green Version]
  81. Brahmer, J.; Reckamp, K.L.; Baas, P.; Crinò, L.; Eberhardt, W.E.; Poddubskaya, E.; Antonia, S.; Pluzanski, A.; Vokes, E.E.; Holgado, E. Nivolumab versus docetaxel in advanced squamous-cell non–small-cell lung cancer. N. Engl. J. Med. 2015, 373, 123–135. [Google Scholar] [CrossRef] [Green Version]
  82. Armand, P.; Engert, A.; Younes, A.; Fanale, M.; Santoro, A.; Zinzani, P.L.; Timmerman, J.M.; Collins, G.P.; Ramchandren, R.; Cohen, J.B. Nivolumab for relapsed/refractory classic Hodgkin lymphoma after failure of autologous hematopoietic cell transplantation: Extended follow-up of the multicohort single-arm phase II CheckMate 205 trial. J. Clin. Oncol. 2018, 36, 1428. [Google Scholar] [CrossRef] [PubMed]
  83. El-Khoueiry, A.B.; Sangro, B.; Yau, T.; Crocenzi, T.S.; Kudo, M.; Hsu, C.; Kim, T.-Y.; Choo, S.-P.; Trojan, J.; Welling, T.H., 3rd. Nivolumab in patients with advanced hepatocellular carcinoma (CheckMate 040): An open-label, non-comparative, phase 1/2 dose escalation and expansion trial. Lancet 2017, 389, 2492–2502. [Google Scholar] [CrossRef] [PubMed]
  84. Liu, F.X.; Ou, W.; Diede, S.J.; Whitman, E.D. Real-world experience with pembrolizumab in patients with advanced melanoma: A large retrospective observational study. Medicine 2019, 98, e16542. [Google Scholar] [CrossRef] [PubMed]
  85. Armand, P.; Shipp, M.A.; Ribrag, V.; Michot, J.-M.; Zinzani, P.L.; Kuruvilla, J.; Snyder, E.S.; Ricart, A.D.; Balakumaran, A.; Rose, S. Programmed death-1 blockade with pembrolizumab in patients with classical Hodgkin lymphoma after brentuximab vedotin failure. J. Clin. Oncol. 2016, 34, 3733. [Google Scholar] [CrossRef]
  86. Tahara, M.; Muro, K.; Hasegawa, Y.; Chung, H.C.; Lin, C.C.; Keam, B.; Takahashi, K.; Cheng, J.D.; Bang, Y.J. Pembrolizumab in Asia-Pacific patients with advanced head and neck squamous cell carcinoma: Analyses from KEYNOTE-012. Cancer Sci. 2018, 109, 771–776. [Google Scholar] [CrossRef]
  87. Migden, M.R.; Rischin, D.; Schmults, C.D.; Guminski, A.; Hauschild, A.; Lewis, K.D.; Chung, C.H.; Hernandez-Aya, L.; Lim, A.M.; Chang, A.L.S. PD-1 blockade with cemiplimab in advanced cutaneous squamous-cell carcinoma. N. Engl. J. Med. 2018, 379, 341–351. [Google Scholar] [CrossRef] [Green Version]
  88. McDermott, D.F.; Sosman, J.A.; Sznol, M.; Massard, C.; Gordon, M.S.; Hamid, O.; Powderly, J.D.; Infante, J.R.; Fassò, M.; Wang, Y.V. Atezolizumab, an anti-programmed death-ligand 1 antibody, in metastatic renal cell carcinoma: Long-term safety, clinical activity, and immune correlates from a phase Ia study. J. Clin. Oncol. 2016, 34, 833–842. [Google Scholar] [CrossRef]
  89. Bernard-Tessier, A.; Bonnet, C.; Lavaud, P.; Gizzi, M.; Loriot, Y.; Massard, C. Atézolizumab (Tecentriq®): Activité, indication et modalités d’utilisation dans les carcinomes urothéliaux localement avancés ou métastatiques. Bull. Du Cancer 2018, 105, 140–145. [Google Scholar] [CrossRef]
  90. Atezolizumab Extends Survival for Breast Cancer. Cancer Discov. 2017, 7, OF10. [CrossRef] [Green Version]
  91. D’Angelo, S.P.; Russell, J.; Lebbé, C.; Chmielowski, B.; Gambichler, T.; Grob, J.-J.; Kiecker, F.; Rabinowits, G.; Terheyden, P.; Zwiener, I. Efficacy and safety of first-line avelumab treatment in patients with stage IV metastatic Merkel cell carcinoma: A preplanned interim analysis of a clinical trial. JAMA Oncol. 2018, 4, e180077. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  92. Siu, L.L.; Even, C.; Mesía, R.; Remenar, E.; Daste, A.; Delord, J.-P.; Krauss, J.; Saba, N.F.; Nabell, L.; Ready, N.E. Safety and efficacy of durvalumab with or without tremelimumab in patients with PD-L1–low/negative recurrent or metastatic HNSCC: The phase 2 CONDOR randomized clinical trial. JAMA Oncol. 2019, 5, 195–203. [Google Scholar] [CrossRef] [PubMed]
  93. Pandey, P.; Khan, F.; Qari, H.A.; Upadhyay, T.K.; Alkhateeb, A.F.; Oves, M. Revolutionization in Cancer Therapeutics via Targeting Major Immune Checkpoints PD-1, PD-L1 and CTLA-4. Pharmaceuticals 2022, 15, 335. [Google Scholar] [CrossRef]
  94. Perkins, D.; Wang, Z.; Donovan, C.; He, H.; Mark, D.; Guan, G.; Wang, Y.; Walunas, T.; Bluestone, J.; Listman, J.; et al. Regulation of CTLA-4 expression during T cell activation. J. Immunol. 1996, 156, 4154–4159. [Google Scholar] [CrossRef] [PubMed]
  95. Alegre, M.-L.; Noel, P.J.; Eisfelder, B.J.; Chuang, E.; Clark, M.R.; Reiner, S.L.; Thompson, C.B. Regulation of surface and intracellular expression of CTLA4 on mouse T cells. J. Immunol. 1996, 157, 4762–4770. [Google Scholar] [CrossRef]
  96. Pardoll, D.M. The blockade of immune checkpoints in cancer immunotherapy. Nat. Rev. Cancer 2012, 12, 252–264. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Rudd, C.E.; Taylor, A.; Schneider, H. CD28 and CTLA-4 coreceptor expression and signal transduction. Immunol. Rev. 2009, 229, 12–26. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  98. Krummel, M.F.; Allison, J.P. CD28 and CTLA-4 have opposing effects on the response of T cells to stimulation. J. Exp. Med. 1995, 182, 459–465. [Google Scholar] [CrossRef] [Green Version]
  99. Chambers, C.A.; Kuhns, M.S.; Egen, J.G.; Allison, J.P. CTLA-4-mediated inhibition in regulation of T cell responses: Mechanisms and manipulation in tumor immunotherapy. Annu. Rev. Immunol. 2001, 19, 565. [Google Scholar] [CrossRef] [Green Version]
  100. Rotte, A. Combination of CTLA-4 and PD-1 blockers for treatment of cancer. J. Exp. Clin. Cancer Res. 2019, 38, 255. [Google Scholar] [CrossRef]
  101. Fife, B.T.; Bluestone, J.A. Control of peripheral T-cell tolerance and autoimmunity via the CTLA-4 and PD-1 pathways. Immunol. Rev. 2008, 224, 166–182. [Google Scholar] [CrossRef] [PubMed]
  102. Stamper, C.C.; Zhang, Y.; Tobin, J.F.; Erbe, D.V.; Ikemizu, S.; Davis, S.J.; Stahl, M.L.; Seehra, J.; Somers, W.S.; Mosyak, L. Crystal structure of the B7-1/CTLA-4 complex that inhibits human immune responses. Nature 2001, 410, 608–611. [Google Scholar] [CrossRef] [PubMed]
  103. Wing, K.; Onishi, Y.; Prieto-Martin, P.; Yamaguchi, T.; Miyara, M.; Fehervari, Z.; Nomura, T.; Sakaguchi, S. CTLA-4 control over Foxp3+ regulatory T cell function. Science 2008, 322, 271–275. [Google Scholar] [CrossRef]
  104. Intlekofer, A.M.; Thompson, C.B. At the bench: Preclinical rationale for CTLA-4 and PD-1 blockade as cancer immunotherapy. J. Leukoc. Biol. 2013, 94, 25–39. [Google Scholar] [CrossRef] [Green Version]
  105. Chikuma, S.; Abbas, A.K.; Bluestone, J.A. B7-independent inhibition of T cells by CTLA-4. J. Immunol. 2005, 175, 177–181. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  106. Schneider, H.; Valk, E.; Leung, R.; Rudd, C.E. CTLA-4 activation of phosphatidylinositol 3-kinase (PI 3-K) and protein kinase B (PKB/AKT) sustains T-cell anergy without cell death. PLoS ONE 2008, 3, e3842. [Google Scholar] [CrossRef] [Green Version]
  107. Fraser, J.H.; Rincón, M.; McCoy, K.D.; Le Gros, G. CTLA4 ligation attenuates AP-1, NFAT and NF-κB activity in activated T cells. Eur. J. Immunol. 1999, 29, 838–844. [Google Scholar] [CrossRef]
  108. Bhandaru, M.; Rotte, A. Monoclonal antibodies for the treatment of melanoma: Present and future strategies. Hum. Monoclon. Antibodies 2019, 1904, 83–108. [Google Scholar]
  109. Chambers, C.A.; Cado, D.; Truong, T.; Allison, J.P. Thymocyte development is normal in CTLA-4-deficient mice. Proc. Natl. Acad. Sci. USA 1997, 94, 9296–9301. [Google Scholar] [CrossRef] [Green Version]
  110. Waterhouse, P.; Penninger, J.M.; Timms, E.; Wakeham, A.; Shahinian, A.; Lee, K.P.; Thompson, C.B.; Griesser, H.; Mak, T.W. Lymphoproliferative disorders with early lethality in mice deficient in Ctla-4. Science 1995, 270, 985–988. [Google Scholar] [CrossRef]
  111. Tivol, E.A.; Borriello, F.; Schweitzer, A.N.; Lynch, W.P.; Bluestone, J.A.; Sharpe, A.H. Loss of CTLA-4 leads to massive lymphoproliferation and fatal multiorgan tissue destruction, revealing a critical negative regulatory role of CTLA-4. Immunity 1995, 3, 541–547. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  112. Bachmann, M.F.; Köhler, G.; Ecabert, B.; Mak, T.W.; Kopf, M. Cutting edge: Lymphoproliferative disease in the absence of CTLA-4 is not T cell autonomous. J. Immunol. 1999, 163, 1128–1131. [Google Scholar] [CrossRef] [PubMed]
  113. Friedline, R.H.; Brown, D.S.; Nguyen, H.; Kornfeld, H.; Lee, J.; Zhang, Y.; Appleby, M.; Der, S.D.; Kang, J.; Chambers, C.A. CD4+ regulatory T cells require CTLA-4 for the maintenance of systemic tolerance. J. Exp. Med. 2009, 206, 421–434. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Read, S.; Greenwald, R.; Izcue, A.; Robinson, N.; Mandelbrot, D.; Francisco, L.; Sharpe, A.H.; Powrie, F. Blockade of CTLA-4 on CD4+ CD25+ regulatory T cells abrogates their function in vivo. J. Immunol. 2006, 177, 4376–4383. [Google Scholar] [CrossRef] [PubMed]
  115. Qureshi, O.S.; Zheng, Y.; Nakamura, K.; Attridge, K.; Manzotti, C.; Schmidt, E.M.; Baker, J.; Jeffery, L.E.; Kaur, S.; Briggs, Z. Trans-endocytosis of CD80 and CD86: A molecular basis for the cell-extrinsic function of CTLA-4. Science 2011, 332, 600–603. [Google Scholar] [CrossRef] [Green Version]
  116. Paterson, A.M.; Lovitch, S.B.; Sage, P.T.; Juneja, V.R.; Lee, Y.; Trombley, J.D.; Arancibia-Cárcamo, C.V.; Sobel, R.A.; Rudensky, A.Y.; Kuchroo, V.K. Deletion of CTLA-4 on regulatory T cells during adulthood leads to resistance to autoimmunity. J. Exp. Med. 2015, 212, 1603–1621. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  117. Simeone, E.; Ascierto, P.A. Immunomodulating antibodies in the treatment of metastatic melanoma: The experience with anti-CTLA-4, anti-CD137, and anti-PD1. J. Immunotoxicol. 2012, 9, 241–247. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  118. Leach, D.R.; Krummel, M.F.; Allison, J.P. Enhancement of antitumor immunity by CTLA-4 blockade. Science 1996, 271, 1734–1736. [Google Scholar] [CrossRef] [Green Version]
  119. Sansom, D. CD28, CTLA-4 and their ligands: Who does what and to whom? Immunology 2000, 101, 169. [Google Scholar] [CrossRef]
  120. Lipson, E.J.; Drake, C.G. Ipilimumab: An Anti-CTLA-4 Antibody for Metastatic MelanomaIpilimumab for Metastatic Melanoma. Clin. Cancer Res. 2011, 17, 6958–6962. [Google Scholar] [CrossRef] [Green Version]
  121. Klein, O.; Kee, D.; Markman, B.; Carlino, M.S.; Underhill, C.; Palmer, J.; Power, D.; Cebon, J.; Behren, A. Evaluation of TMB as a predictive biomarker in patients with solid cancers treated with anti-PD-1/CTLA-4 combination immunotherapy. Cancer Cell 2021, 39, 592–593. [Google Scholar] [CrossRef] [PubMed]
  122. Coillie, S.V.; Wiernicki, B.; Xu, J. Molecular and cellular functions of CTLA-4. Regul. Cancer Immune Checkp. 2020, 1248, 7–32. [Google Scholar]
  123. Robert, L.; Tsoi, J.; Wang, X.; Emerson, R.; Homet, B.; Chodon, T.; Mok, S.; Huang, R.R.; Cochran, A.J.; Comin-Anduix, B.; et al. CTLA4 blockade broadens the peripheral T-cell receptor repertoire. Clin. Cancer Res. 2014, 20, 2424–2432. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  124. Cha, E.; Klinger, M.; Hou, Y.; Cummings, C.; Ribas, A.; Faham, M.; Fong, L. Improved survival with T cell clonotype stability after anti–CTLA-4 treatment in cancer patients. Sci. Transl. Med. 2014, 6, 238ra70. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  125. Yang, Y.; Liu, Z.; Wang, H.; Zhang, G. HLA-E Binding Peptide as a Potential Therapeutic Candidate for High-Risk Multiple Myeloma. Front. Oncol 2021, 11, 670673. [Google Scholar] [CrossRef]
  126. Robinson, J.; Halliwell, J.A.; McWilliam, H.; Lopez, R.; Marsh, S.G. IPD—The Immuno Polymorphism Database. Nucleic Acids Res. 2013, 41, D1234–D1240. [Google Scholar] [CrossRef] [PubMed]
  127. Bouvier, M.; Wiley, D.C. Importance of peptide amino and carboxyl termini to the stability of MHC class I molecules. Science 1994, 265, 398–402. [Google Scholar] [CrossRef] [PubMed]
  128. Lo Monaco, E.; Tremante, E.; Cerboni, C.; Melucci, E.; Sibilio, L.; Zingoni, A.; Nicotra, M.R.; Natali, P.G.; Giacomini, P. Human leukocyte antigen E contributes to protect tumor cells from lysis by natural killer cells. Neoplasia 2011, 13, 822–830. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  129. Garrido, C.; Paco, L.; Romero, I.; Berruguilla, E.; Stefansky, J.; Collado, A.; Algarra, I.; Garrido, F.; Garcia-Lora, A.M. MHC class I molecules act as tumor suppressor genes regulating the cell cycle gene expression, invasion and intrinsic tumorigenicity of melanoma cells. Carcinogenesis 2012, 33, 687–693. [Google Scholar] [CrossRef] [Green Version]
  130. Mendez, R.; Aptsiauri, N.; Del Campo, A.; Maleno, I.; Cabrera, T.; Ruiz-Cabello, F.; Garrido, F.; Garcia-Lora, A. HLA and melanoma: Multiple alterations in HLA class I and II expression in human melanoma cell lines from ESTDAB cell bank. Cancer Immunol. Immunother. 2009, 58, 1507–1515. [Google Scholar] [CrossRef]
  131. de Kruijf, E.M.; Sajet, A.; van Nes, J.G.; Natanov, R.; Putter, H.; Smit, V.T.; Liefers, G.J.; van den Elsen, P.J.; van de Velde, C.J.; Kuppen, P.J. HLA-E and HLA-G expression in classical HLA class I-negative tumors is of prognostic value for clinical outcome of early breast cancer patients. J. Immunol. 2010, 185, 7452–7459. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  132. Levy, E.M.; Bianchini, M.; Von Euw, E.M.; Barrio, M.M.; Bravo, A.I.; Furman, D.; Domenichini, E.; Macagno, C.; Pinsky, V.; Zucchini, C. Human leukocyte antigen-E protein is overexpressed in primary human colorectal cancer. Int. J. Oncol. 2008, 32, 633–641. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  133. Zeestraten, E.; Reimers, M.; Saadatmand, S.; Dekker, J.T.; Liefers, G.; Van Den Elsen, P.; Van De Velde, C.; Kuppen, P. Combined analysis of HLA class I, HLA-E and HLA-G predicts prognosis in colon cancer patients. Br. J. Cancer 2014, 110, 459–468. [Google Scholar] [CrossRef] [PubMed]
  134. Eugène, J.; Jouand, N.; Ducoin, K.; Dansette, D.; Oger, R.; Deleine, C.; Leveque, E.; Meurette, G.; Podevin, J.; Matysiak, T. The inhibitory receptor CD94/NKG2A on CD8+ tumor-infiltrating lymphocytes in colorectal cancer: A promising new druggable immune checkpoint in the context of HLAE/β2m overexpression. Mod. Pathol. 2020, 33, 468–482. [Google Scholar] [CrossRef] [PubMed]
  135. Braud, V.M.; Allan, D.S.; O’Callaghan, C.A.; Söderström, K.; D’Andrea, A.; Ogg, G.S.; Lazetic, S.; Young, N.T.; Bell, J.I.; Phillips, J.H. HLA-E binds to natural killer cell receptors CD94/NKG2A, B and C. Nature 1998, 391, 795–799. [Google Scholar] [CrossRef]
  136. García, P.; Llano, M.; Heredia, A.B.d.; Willberg, C.B.; Caparrós, E.; Aparicio, P.; Braud, V.M.; López-Botet, M. Human T cell receptor-mediated recognition of HLA-E. Eur. J. Immunol. 2002, 32, 936–944. [Google Scholar] [CrossRef] [PubMed]
  137. Pietra, G.; Romagnani, C.; Falco, M.; Vitale, M.; Castriconi, R.; Pende, D.; Millo, E.; Anfossi, S.; Biassoni, R.; Moretta, L. The analysis of the natural killer-like activity of human cytolytic T lymphocytes revealed HLA-E as a novel target for TCR α/β-mediated recognition. Eur. J. Immunol. 2001, 31, 3687–3693. [Google Scholar] [CrossRef]
  138. Moretta, L.; Romagnani, C.; Pietra, G.; Moretta, A.; Mingari, M.C. NK-CTLs, a novel HLA-E-restricted T-cell subset. Trends Immunol. 2003, 24, 136–143. [Google Scholar] [CrossRef] [PubMed]
  139. Houchins, J.P.; Yabe, T.; McSherry, C.; Bach, F.H. DNA sequence analysis of NKG2, a family of related cDNA clones encoding type II integral membrane proteins on human natural killer cells. J. Exp. Med. 1991, 173, 1017–1020. [Google Scholar] [CrossRef] [Green Version]
  140. Pegram, H.J.; Andrews, D.M.; Smyth, M.J.; Darcy, P.K.; Kershaw, M.H. Activating and inhibitory receptors of natural killer cells. Immunol. Cell Biol. 2011, 89, 216–224. [Google Scholar] [CrossRef]
  141. Sheu, B.-C.; Chiou, S.-H.; Lin, H.-H.; Chow, S.-N.; Huang, S.-C.; Ho, H.-N.; Hsu, S.-M. Up-regulation of inhibitory natural killer receptors CD94/NKG2A with suppressed intracellular perforin expression of tumor-infiltrating CD8+ T lymphocytes in human cervical carcinoma. Cancer Res. 2005, 65, 2921–2929. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  142. Lanier, L.L. NK cell recognition. Annu. Rev. Immunol. 2005, 23, 225–274. [Google Scholar] [CrossRef]
  143. Petrie, E.J.; Clements, C.S.; Lin, J.; Sullivan, L.C.; Johnson, D.; Huyton, T.; Heroux, A.; Hoare, H.L.; Beddoe, T.; Reid, H.H. CD94-NKG2A recognition of human leukocyte antigen (HLA)-E bound to an HLA class I leader sequence. J. Exp. Med. 2008, 205, 725–735. [Google Scholar] [CrossRef] [Green Version]
  144. Marín, R.; Ruiz-Cabello, F.; Pedrinaci, S.; Méndez, R.; Jiménez, P.; Geraghty, D.E.; Garrido, F. Analysis of HLA-E expression in human tumors. Immunogenetics 2003, 54, 767–775. [Google Scholar] [CrossRef] [PubMed]
  145. Kren, L.; Slaby, O.; Muckova, K.; Lzicarova, E.; Sova, M.; Vybihal, V.; Svoboda, T.; Fadrus, P.; Lakomy, R.; Vanhara, P. Expression of immune-modulatory molecules HLA-G and HLA-E by tumor cells in glioblastomas: An unexpected prognostic significance? Neuropathology 2011, 31, 129–134. [Google Scholar] [CrossRef] [PubMed]
  146. Mandruzzato, S.; Callegaro, A.; Turcatel, G.; Francescato, S.; Montesco, M.C.; Chiarion-Sileni, V.; Mocellin, S.; Rossi, C.R.; Bicciato, S.; Wang, E. A gene expression signature associated with survival in metastatic melanoma. J. Transl. Med. 2006, 4, 50. [Google Scholar] [CrossRef] [Green Version]
  147. Silva, T.G.; Crispim, J.C.; Miranda, F.A.; Hassumi, M.K.; de Mello, J.M.; Simões, R.T.; Souto, F.; Soares, E.G.; Donadi, E.A.; Soares, C.P. Expression of the nonclassical HLA-G and HLA-E molecules in laryngeal lesions as biomarkers of tumor invasiveness. Histol. Histopathol. 2011, 26, 1487–1497. [Google Scholar] [PubMed]
  148. Yazdi, M.T.; van Riet, S.; van Schadewijk, A.; Fiocco, M.; van Hall, T.; Taube, C.; Hiemstra, P.S. The positive prognostic effect of stromal CD8+ tumor-infiltrating T cells is restrained by the expression of HLA-E in non-small cell lung carcinoma. Oncotarget 2016, 7, 3477. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  149. Andersson, E.; Poschke, I.; Villabona, L.; Carlson, J.W.; Lundqvist, A.; Kiessling, R.; Seliger, B.; Masucci, G.V. Non-classical HLA-class I expression in serous ovarian carcinoma: Correlation with the HLA-genotype, tumor infiltrating immune cells and prognosis. Oncoimmunology 2016, 5, e1052213. [Google Scholar] [CrossRef] [Green Version]
  150. Guo, Z.-Y.; Lv, Y.-G.; Wang, L.; Shi, S.-J.; Yang, F.; Zheng, G.-X.; Wen, W.-H.; Yang, A.-G. Predictive value of HLA-G and HLA-E in the prognosis of colorectal cancer patients. Cell. Immunol. 2015, 293, 10–16. [Google Scholar] [CrossRef] [PubMed]
  151. Zhen, Z.-J.; Ling, J.-Y.; Cai, Y.; Luo, W.-B.; He, Y.-J. Impact of HLA-E gene polymorphism on HLA-E expression in tumor cells and prognosis in patients with stage III colorectal cancer. Med. Oncol. 2013, 30, 482. [Google Scholar] [CrossRef] [PubMed]
  152. Nguyen, S.; Beziat, V.; Dhedin, N.; Kuentz, M.; Vernant, J.; Debre, P.; Vieillard, V. HLA-E upregulation on IFN-γ-activated AML blasts impairs CD94/NKG2A-dependent NK cytolysis after haplo-mismatched hematopoietic SCT. Bone Marrow Transplant. 2009, 43, 693–699. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. van Montfoort, N.; Borst, L.; Korrer, M.J.; Sluijter, M.; Marijt, K.A.; Santegoets, S.J.; van Ham, V.J.; Ehsan, I.; Charoentong, P.; André, P. NKG2A blockade potentiates CD8 T cell immunity induced by cancer vaccines. Cell 2018, 175, 1744–1755.e15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. ClinicalTrials.gov. Combination Study of IPH2201 (Monalizumab) with Ibrutinib in Relapsed, Refractory or Previously Untreated CLL; NIH: Bethesda, MD, USA, 2019.
  155. ClinicalTrials.gov. Monalizumab and Trastuzumab in Metastatic HER2-pOSitive breAst Cancer: MIMOSA-Trial (MIMOSA); NIH: Bethesda, MD, USA, 2022.
  156. ClinicalTrials.gov. Study of Monalizumab and Cetuximab in Patients with Recurrent or Metastatic Squamous Cell Carcinoma of the Head and Neck; NIH: Bethesda, MD, USA, 2021.
  157. van Hall, T.; Andre, P.; Horowitz, A.; Ruan, D.F.; Borst, L.; Zerbib, R.; Narni-Mancinelli, E.; van der Burg, S.H.; Vivier, E. Monalizumab: Inhibiting the novel immune checkpoint NKG2A. J. Immunother. Cancer 2019, 7, 263. [Google Scholar] [CrossRef] [PubMed]
  158. Raulet, D.H.; Gasser, S.; Gowen, B.G.; Deng, W.; Jung, H. Regulation of ligands for the NKG2D activating receptor. Annu. Rev. Immunol. 2013, 31, 413–441. [Google Scholar] [CrossRef] [PubMed]
  159. Spear, P.; Wu, M.R.; Sentman, M.L.; Sentman, C.L. NKG2D ligands as therapeutic targets. Cancer Immun. 2013, 13, 8. [Google Scholar] [PubMed]
  160. Cerboni, C.; Fionda, C.; Soriani, A.; Zingoni, A.; Doria, M.; Cippitelli, M.; Santoni, A. The DNA damage response: A common pathway in the regulation of NKG2D and DNAM-1 ligand expression in normal, infected, and cancer cells. Front. Immunol. 2014, 4, 508. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  161. Jamieson, A.M.; Diefenbach, A.; McMahon, C.W.; Xiong, N.; Carlyle, J.R.; Raulet, D.H. The role of the NKG2D immunoreceptor in immune cell activation and natural killing. Immunity 2002, 17, 19–29. [Google Scholar] [CrossRef] [Green Version]
  162. Wensveen, F.M.; Jelencic, V.; Polic, B. NKG2D: A Master Regulator of Immune Cell Responsiveness. Front. Immunol. 2018, 9, 441. [Google Scholar] [CrossRef]
  163. Lopez-Soto, A.; Gonzalez, S.; Galluzzi, L. Soluble NKG2D ligands limit the efficacy of immune checkpoint blockade. Oncoimmunology 2017, 6, e1346766. [Google Scholar] [CrossRef]
  164. Sagiv, A.; Burton, D.G.; Moshayev, Z.; Vadai, E.; Wensveen, F.; Ben-Dor, S.; Golani, O.; Polic, B.; Krizhanovsky, V. NKG2D ligands mediate immunosurveillance of senescent cells. Aging 2016, 8, 328. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  165. Sagiv, A.; Biran, A.; Yon, M.; Simon, J.; Lowe, S.; Krizhanovsky, V. Granule exocytosis mediates immune surveillance of senescent cells. Oncogene 2013, 32, 1971–1977. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  166. Di Santo, J.P. Natural killer cell developmental pathways: A question of balance. Annu. Rev. Immunol. 2006, 24, 257–286. [Google Scholar] [CrossRef] [PubMed]
  167. Groh, V.; Wu, J.; Yee, C.; Spies, T. Tumour-derived soluble MIC ligands impair expression of NKG2D and T-cell activation. Nature 2002, 419, 734–738. [Google Scholar] [CrossRef] [PubMed]
  168. Curio, S.; Jonsson, G.; Marinović, S. A summary of current NKG2D-based CAR clinical trials. Immunother. Adv. 2021, 1, ltab018. [Google Scholar] [CrossRef] [PubMed]
  169. Lin, F.; Dai, C.; Ge, X.; Tang, W.; Lin, Y.; Wang, Y.; Li, J. Prognostic significance and functional implication of immune activating receptor NKG2D in gastric cancer. Biochem. Biophys. Res. Commun. 2017, 487, 619–624. [Google Scholar] [CrossRef]
  170. Liu, X.; Sun, M.; Yu, S.; Liu, K.; Li, X.; Shi, H. Potential therapeutic strategy for gastric cancer peritoneal metastasis by NKG2D ligands-specific T cells. OncoTargets Ther. 2015, 8, 3095. [Google Scholar]
  171. Han, Y.; Xie, W.; Song, D.-G.; Powell, D.J. Control of triple-negative breast cancer using ex vivo self-enriched, costimulated NKG2D CAR T cells. J. Hematol. Oncol. 2018, 11, 92. [Google Scholar] [CrossRef]
  172. Siemaszko, J.; Marzec-Przyszlak, A.; Bogunia-Kubik, K. NKG2D Natural Killer Cell Receptor-A Short Description and Potential Clinical Applications. Cells 2021, 10, 1420. [Google Scholar] [CrossRef]
  173. Fernández-Sánchez, A.; Baragaño Raneros, A.; Carvajal Palao, R.; Sanz, A.B.; Ortiz, A.; Ortega, F.; Suárez-Álvarez, B.; López-Larrea, C. DNA demethylation and histone H3K9 acetylation determine the active transcription of the NKG2D gene in human CD8+ T and NK cells. Epigenetics 2013, 8, 66–78. [Google Scholar] [CrossRef] [Green Version]
  174. Raneros, A.B.; Minguela, A.; Rodriguez, R.M.; Colado, E.; Bernal, T.; Anguita, E.; Mogorron, A.V.; Gil, A.C.; Vidal-Castiñeira, J.R.; Márquez-Kisinousky, L.; et al. Increasing TIMP3 expression by hypomethylating agents diminishes soluble MICA, MICB and ULBP2 shedding in acute myeloid leukemia, facilitating NK cell-mediated immune recognition. Oncotarget 2017, 8, 31959–31976. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  175. Baragaño Raneros, A.; Martin-Palanco, V.; Fernandez, A.; Rodriguez, R.; Fraga, M.; Lopez-Larrea, C.; Suarez-Alvarez, B. Methylation of NKG2D ligands contributes to immune system evasion in acute myeloid leukemia. Genes Immun. 2015, 16, 71–82. [Google Scholar] [CrossRef]
  176. Leivas, A.; Valeri, A.; Cordoba, L.; Garcia-Ortiz, A.; Ortiz, A.; Sanchez-Vega, L.; Grana-Castro, O.; Fernandez, L.; Carreno-Tarragona, G.; Perez, M.; et al. NKG2D-CAR-transduced natural killer cells efficiently target multiple myeloma. Blood Cancer J. 2021, 11, 146. [Google Scholar] [CrossRef]
  177. Basher, F.; Jeng, E.K.; Wong, H.; Wu, J. Cooperative therapeutic anti-tumor effect of IL-15 agonist ALT-803 and co-targeting soluble NKG2D ligand sMIC. Oncotarget 2016, 7, 814. [Google Scholar] [CrossRef] [Green Version]
  178. Raeeszadeh-Sarmazdeh, M.; Do, L.D.; Hritz, B.G. Metalloproteinases and their inhibitors: Potential for the development of new therapeutics. Cells 2020, 9, 1313. [Google Scholar] [CrossRef] [PubMed]
  179. Fuertes, M.B.; Domaica, C.I.; Zwirner, N.W. Leveraging NKG2D Ligands in Immuno-Oncology. Front. Immunol. 2021, 12, 713158. [Google Scholar] [CrossRef] [PubMed]
  180. Tang, H.; Sampath, P.; Yan, X.; Thorne, S.H. Potential for enhanced therapeutic activity of biological cancer therapies with doxycycline combination. Gene 2013, 20, 770–778. [Google Scholar] [CrossRef] [PubMed]
  181. Chen, J.-F.; Lee, C.-F.; Chern, Y. Chapter One—Adenosine Receptor Neurobiology: Overview. Int. Rev. Neurobiol. 2014, 119, 1–49. [Google Scholar]
  182. Ohta, A.; Sitkovsky, M. Role of G-protein-coupled adenosine receptors in downregulation of inflammation and protection from tissue damage. Nature 2001, 414, 916–920. [Google Scholar] [CrossRef] [Green Version]
  183. Leone, R.D.; Lo, Y.-C.; Powell, J.D. A2aR antagonists: Next generation checkpoint blockade for cancer immunotherapy. Comput. Struct. Biotechnol. J. 2015, 13, 265–272. [Google Scholar] [CrossRef] [Green Version]
  184. Olah, M.E.; Stiles, G.L. Adenosine receptor subtypes: Characterization and therapeutic regulation. Annu. Rev. Pharmacol. Toxicol. 1995, 35, 581–606. [Google Scholar] [CrossRef] [PubMed]
  185. Pelleg, A.; Porter, R.S. The pharmacology of adenosine. Pharmacother. J. Hum. Pharmacol. Drug Ther. 1990, 10, 157–174. [Google Scholar]
  186. Robeva, A.S.; Woodard, R.L.; Jin, X.; Gao, Z.; Bhattacharya, S.; Taylor, H.E.; Rosin, D.L.; Linden, J. Molecular characterization of recombinant human adenosine receptors. Drug Dev. Res. 1996, 39, 243–252. [Google Scholar] [CrossRef]
  187. Muller-Haegele, S.; Muller, L.; Whiteside, T.L. Immunoregulatory activity of adenosine and its role in human cancer progression. Expert Rev. Clin. Immunol. 2014, 10, 897–914. [Google Scholar] [CrossRef]
  188. Sun, C.; Wang, B.; Hao, S. Adenosine-A2A Receptor Pathway in Cancer Immunotherapy. Front. Immunol. 2022, 13, 837230. [Google Scholar] [CrossRef] [PubMed]
  189. Slaats, J.; Wagena, E.; Smits, D.; Berends, A.A.; Peters, E.; Bakker, G.-J.; Erp, M.; Weigelin, B.; Adema, G.J.; Friedl, P. Adenosine A2a receptor antagonism restores additive cytotoxicity by cytotoxic T cells in metabolically perturbed tumors. Cancer Immunol. Res. 2022, 10, 1462–1474. [Google Scholar] [CrossRef]
  190. Young, A.; Ngiow, S.F.; Gao, Y.; Patch, A.-M.; Barkauskas, D.S.; Messaoudene, M.; Lin, G.; Coudert, J.D.; Stannard, K.A.; Zitvogel, L. A2AR Adenosine Signaling Suppresses Natural Killer Cell Maturation in the Tumor MicroenvironmentAdenosine Impairs Proliferation of Terminal NK Cells. Cancer Res. 2018, 78, 1003–1016. [Google Scholar] [CrossRef] [Green Version]
  191. Halpin-Veszeleiova, K.; Hatfield, S.M. Oxygenation and A2AR blockade to eliminate hypoxia/HIF-1α-adenosinergic immunosuppressive axis and improve cancer immunotherapy. Curr. Opin. Pharmacol. 2020, 53, 84–90. [Google Scholar] [CrossRef]
  192. Ohta, A.; Sitkovsky, M. The adenosinergic immunomodulatory drugs. Curr. Opin. Pharmacol. 2009, 9, 501–506. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  193. Huang, S.; Apasov, S.; Koshiba, M.; Sitkovsky, M. Role of A2a extracellular adenosine receptor-mediated signaling in adenosine-mediated inhibition of T-cell activation and expansion. Blood J. Am. Soc. Hematol. 1997, 90, 1600–1610. [Google Scholar]
  194. Decking, U.K.; Schlieper, G.; Kroll, K.; Schrader, J.r. Hypoxia-induced inhibition of adenosine kinase potentiates cardiac adenosine release. Circ. Res. 1997, 81, 154–164. [Google Scholar] [CrossRef] [PubMed]
  195. Ohta, A.; Gorelik, E.; Prasad, S.J.; Ronchese, F.; Lukashev, D.; Wong, M.K.; Huang, X.; Caldwell, S.; Liu, K.; Smith, P. A2A adenosine receptor protects tumors from antitumor T cells. Proc. Natl. Acad. Sci. USA 2006, 103, 13132–13137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  196. Mandapathil, M.; Szczepanski, M.J.; Szajnik, M.; Ren, J.; Lenzner, D.E.; Jackson, E.K.; Gorelik, E.; Lang, S.; Johnson, J.T.; Whiteside, T.L. Increased ectonucleotidase expression and activity in regulatory T cells of patients with head and neck cancer. Clin. Cancer Res. 2009, 15, 6348–6357. [Google Scholar] [CrossRef] [Green Version]
  197. Zhang, H.; Vijayan, D.; Li, X.Y.; Robson, S.C.; Geetha, N.; Teng, M.W.L.; Smyth, M.J. The role of NK cells and CD39 in the immunological control of tumor metastases. Oncoimmunology 2019, 8, e1593809. [Google Scholar] [CrossRef] [Green Version]
  198. Jackson, S.W.; Hoshi, T.; Wu, Y.; Sun, X.; Enjyoji, K.; Cszimadia, E.; Sundberg, C.; Robson, S.C. Disordered purinergic signaling inhibits pathological angiogenesis in cd39/Entpd1-null mice. Am. J. Pathol. 2007, 171, 1395–1404. [Google Scholar] [CrossRef] [Green Version]
  199. Sun, X.; Wu, Y.; Gao, W.; Enjyoji, K.; Csizmadia, E.; Müller, C.E.; Murakami, T.; Robson, S.C. CD39/ENTPD1 expression by CD4+ Foxp3+ regulatory T cells promotes hepatic metastatic tumor growth in mice. Gastroenterology 2010, 139, 1030–1040. [Google Scholar] [CrossRef] [Green Version]
  200. Roh, M.; Wainwright, D.A.; Wu, J.D.; Wan, Y.; Zhang, B. Targeting CD73 to augment cancer immunotherapy. Curr. Opin. Pharm. 2020, 53, 66–76. [Google Scholar] [CrossRef]
  201. Wennerberg, E.; Spada, S.; Rudqvist, N.P.; Lhuillier, C.; Gruber, S.; Chen, Q.; Zhang, F.; Zhou, X.K.; Gross, S.S.; Formenti, S.C.; et al. CD73 Blockade Promotes Dendritic Cell Infiltration of Irradiated Tumors and Tumor Rejection. Cancer Immunol. Res. 2020, 8, 465–478. [Google Scholar] [CrossRef]
  202. Jin, D.; Fan, J.; Wang, L.; Thompson, L.F.; Liu, A.; Daniel, B.J.; Shin, T.; Curiel, T.J.; Zhang, B. CD73 on Tumor Cells Impairs Antitumor T-Cell Responses: A Novel Mechanism of Tumor-Induced Immune SuppressionTumor CD73 Impairs Antitumor T-Cell Responses. Cancer Res. 2010, 70, 2245–2255. [Google Scholar] [CrossRef] [PubMed]
  203. Stagg, J.; Divisekera, U.; McLaughlin, N.; Sharkey, J.; Pommey, S.; Denoyer, D.; Dwyer, K.M.; Smyth, M.J. Anti-CD73 antibody therapy inhibits breast tumor growth and metastasis. Proc. Natl. Acad. Sci. USA 2010, 107, 1547–1552. [Google Scholar] [CrossRef] [Green Version]
  204. Armstrong, J.M.; Chen, J.F.; Schwarzschild, M.A.; Apasov, S.; Smith, P.T.; Caldwell, C.; Chen, P.; Figler, H.; Sullivan, G.; Fink, S. Gene dose effect reveals no Gs-coupled A2A adenosine receptor reserve in murine T-lymphocytes: Studies of cells from A2A-receptor-gene-deficient mice. Biochem. J. 2001, 354, 123–130. [Google Scholar] [CrossRef]
  205. Sitkovsky, M.V. Lessons from the A2A adenosine receptor antagonist–enabled tumor regression and survival in patients with treatment-refractory renal cell cancer. Cancer Discov. 2020, 10, 16–19. [Google Scholar] [CrossRef] [PubMed]
  206. Ma, S.R.; Deng, W.W.; Liu, J.F.; Mao, L.; Yu, G.T.; Bu, L.L.; Kulkarni, A.B.; Zhang, W.F.; Sun, Z.J. Blockade of adenosine A2A receptor enhances CD8(+) T cells response and decreases regulatory T cells in head and neck squamous cell carcinoma. Mol. Cancer 2017, 16, 99. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  207. Lorenzen, S.; Siu, L.; Burris, H.; Le, D.; Hollebecque, A.; Steeghs, N.; Delord, J.; Hilton, J.; Barnhart, B.; Sega, E. Preliminary phase 1 profile of BMS-986179, an anti-CD73 antibody, in combination with nivolumab in patients with advanced solid tumors. Cancer Res. 2018, 78, CT180. [Google Scholar]
  208. Luke, J.; Merchan, J.; Harshman, L.; Marron, T.; Powderly, J.; Barve, M.; LoRusso, P.; Johnson, M.; Hotson, A.; Gittelman, R. Immunobiology and clinical activity of CPI-006, an anti-CD73 antibody with immunomodulating properties in a phase 1/1b trial in advanced cancers. J. Immunother. Cancer 2019, 37, 2505. [Google Scholar]
  209. Chiappori, A.; Williams, C.; Creelan, B.; Tanvetyanon, T.; Gray, J.; Haura, E.; Chen, D.; Thapa, R.; Beg, A.; Boyle, T. P1. 04-32 Phase I/II Study of the A2AR Antagonist NIR178 (PBF-509), an Oral Immunotherapy, in Patients (pts) with Advanced NSCLC. J. Thorac. Oncol. 2018, 13, S538. [Google Scholar] [CrossRef] [Green Version]
  210. Buisseret, L.; Rottey, S.; De Bono, J.S.; Migeotte, A.; Delafontaine, B.; Manickavasagar, T.; Martinoli, C.; Wald, N.; Rossetti, M.; Gangolli, E.A. Phase 1 trial of the adenosine A2A receptor antagonist inupadenant (EOS-850): Update on tolerability, and antitumor activity potentially associated with the expression of the A2A receptor within the tumor. J. Clin. Oncol. 2021, 39, 2562. [Google Scholar] [CrossRef]
  211. Berges, B.M.; Cambareri, C.; Takvorian, S.U.; Serpa, M.; Shulman, L.N.; Bekelman, J.E.; Rendle, K.A.; Argon, J.; Rosin, R. Leveraging a conversational agent to support adherence to oral anticancer agents: A usability study. J. Clin. Oncol. 2019, 37, 6534. [Google Scholar] [CrossRef]
  212. Fong, L.; Hotson, A.; Powderly, J.D.; Sznol, M.; Heist, R.S.; Choueiri, T.K.; George, S.; Hughes, B.G.; Hellmann, M.D.; Shepard, D.R. Adenosine 2A Receptor Blockade as an Immunotherapy for Treatment-Refractory Renal Cell CancerAdenosine 2A Receptor Blockade as a Cancer Immunotherapy. Cancer Discov. 2020, 10, 40–53. [Google Scholar] [CrossRef] [Green Version]
  213. Seitz, L.; Jin, L.; Leleti, M.; Ashok, D.; Jeffrey, J.; Rieger, A.; Tiessen, R.G.; Arold, G.; Tan, J.B.; Powers, J.P. Safety, tolerability, and pharmacology of AB928, a novel dual adenosine receptor antagonist, in a randomized, phase 1 study in healthy volunteers. Investig. New Drugs 2019, 37, 711–721. [Google Scholar] [CrossRef]
  214. Powderly, J.; Spira, A.; Gutierrez, R.; DiRenzo, D.; Udyavar, A.; Karakunnel, J.; Rieger, A.; Colabella, J.; Lai, D.; de Souza, P. Phase I evaluation of AB928, a novel dual adenosine receptor antagonist, combined with chemotherapy or AB122 (anti-PD-1) in patients (pts) with advanced malignancies. Ann. Oncol. 2019, 30, v493. [Google Scholar] [CrossRef]
  215. Willingham, S.B.; Hotson, A.N.; Miller, R.A. Targeting the A2AR in cancer; early lessons from the clinic. Curr. Opin Pharm. 2020, 53, 126–133. [Google Scholar] [CrossRef] [PubMed]
  216. Bendell, J.; Bauer, T.; Patel, M.; Falchook, G.; Karlix, J.L.; Lim, E.; Mugundu, G.; Mitchell, P.D.; Pouliot, G.P.; Moorthy, G. Abstract CT026: Evidence of immune activation in the first-in-human Phase Ia dose escalation study of the adenosine 2a receptor antagonist, AZD4635, in patients with advanced solid tumors. Cancer Res. 2019, 79, CT026. [Google Scholar] [CrossRef]
  217. Powderly, J.D.; de Souza, P.L.; Gutierrez, R.; Horvath, L.; Seitz, L.; Ashok, D.; Park, A.; Walters, M.J.; Karakunnel, J.J.; Berry, W. AB928, a novel dual adenosine receptor antagonist, combined with chemotherapy or AB122 (anti-PD-1) in patients (pts) with advanced tumors: Preliminary results from ongoing phase I studies. J. Clin. Oncol. 2019, 37, 2604. [Google Scholar] [CrossRef]
  218. Houthuys, E.; Basilico, P.; Brouwer, M.; Deregnaucourt, T.; Detheux, M.; Driessens, G.; Gomes, B.; Leroy, X.; Marchante, J.; Marillier, R. EOS100850, a non-brain penetrant highly selective A2Areceptor antagonist, uniquely maintains high potency within the adenosine rich tumor microenvironment. Cancer Res. 2019, 79, 3261. [Google Scholar] [CrossRef]
  219. Buisseret, L.; Rottey, S.; de Bono, J.; Mossakowski, M.; Delafontaine, B.; Manickavasagar, T.; Kotecki, N.; Martinoli, C.; Schneider, M.; De Henau, O. Abstract CT152: First in human study with EOS100850, a novel potent A2A antagonist, shows excellent tolerance and clinical benefit in immune resistant advanced cancers. Cancer Res. 2020, 80, CT152. [Google Scholar] [CrossRef]
  220. Wang, Z.; Che, P.-L.; Du, J.; Ha, B.; Yarema, K.J. Static magnetic field exposure reproduces cellular effects of the Parkinson’s disease drug candidate ZM241385. PLoS ONE 2010, 5, e13883. [Google Scholar] [CrossRef] [PubMed]
  221. Poucher, S.; Keddie, J.; Singh, P.; Stoggall, S.; Caulkett, P.; Jones, G.; Collis, M. The in vitro pharmacology of ZM 241385, a potent, non-xanthine, A2a selective adenosine receptor antagonist. Br. J. Pharmacol. 1995, 115, 1096–1102. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  222. Chen, J.F.; Xu, K.; Petzer, J.P.; Staal, R.; Xu, Y.H.; Beilstein, M.; Sonsalla, P.K.; Castagnoli, K.; Castagnoli, N., Jr.; Schwarzschild, M.A. Neuroprotection by caffeine and A(2A) adenosine receptor inactivation in a model of Parkinson’s disease. J. Neurosci. 2001, 21, Rc143. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  223. Zocchi, C.; Ongini, E.; Ferrara, S.; Baraldi, P.G.; Dionisotti, S. Binding of the radioligand [3H]-SCH 58261, a new non-xanthine A2A adenosine receptor antagonist, to rat striatal membranes. Br. J. Pharmacol. 1996, 117, 1381–1386. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  224. Xi, J.; McIntosh, R.; Shen, X.; Lee, S.; Chanoit, G.; Criswell, H.; Zvara, D.A.; Xu, Z. Adenosine A2A and A2B receptors work in concert to induce a strong protection against reperfusion injury in rat hearts. J. Mol. Cell. Cardiol. 2009, 47, 684–690. [Google Scholar] [CrossRef] [PubMed]
  225. Mittal, D.; Young, A.; Stannard, K.; Yong, M.; Teng, M.W.; Allard, B.; Stagg, J.; Smyth, M.J. Antimetastatic effects of blocking PD-1 and the adenosine A2A receptor. Cancer Res. 2014, 74, 3652–3658. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  226. Beavis, P.A.; Divisekera, U.; Paget, C.; Chow, M.T.; John, L.B.; Devaud, C.; Dwyer, K.; Stagg, J.; Smyth, M.J.; Darcy, P.K. Blockade of A2A receptors potently suppresses the metastasis of CD73+ tumors. Proc. Natl. Acad. Sci. USA 2013, 110, 14711–14716. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  227. Hodgson, R.A.; Bertorelli, R.; Varty, G.B.; Lachowicz, J.E.; Forlani, A.; Fredduzzi, S.; Cohen-Williams, M.E.; Higgins, G.A.; Impagnatiello, F.; Nicolussi, E. Characterization of the potent and highly selective A2A receptor antagonists preladenant and SCH 412348 [7-[2-[4-2, 4-difluorophenyl]-1-piperazinyl] ethyl]-2-(2-furanyl)-7H-pyrazolo [4, 3-e][1, 2, 4] triazolo [1, 5-c] pyrimidin-5-amine] in rodent models of movement disorders and depression. J. Pharmacol. Exp. Ther. 2009, 330, 294–303. [Google Scholar] [PubMed] [Green Version]
  228. Beavis, P.A.; Milenkovski, N.; Henderson, M.A.; John, L.B.; Allard, B.; Loi, S.; Kershaw, M.H.; Stagg, J.; Darcy, P.K. Adenosine receptor 2A blockade increases the efficacy of anti–PD-1 through enhanced antitumor T-cell responses. Cancer Immunol. Res. 2015, 3, 506–517. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  229. Cekic, C.; Linden, J. Adenosine A2A Receptors Intrinsically Regulate CD8+ T Cells in the Tumor MicroenvironmentAdenosine Maintains CD8+ T Cells in Solid Tumors. Cancer Res. 2014, 74, 7239–7249. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  230. Alexander, S.P.H. A-2B Adenosine Receptor. In xPharm: The Comprehensive Pharmacology Reference; Enna, S.J., Bylund, D.B., Eds.; Elsevier: New York, NY, USA, 2007; pp. 1–18. [Google Scholar] [CrossRef]
  231. Gessi, S.; Merighi, S.; Sacchetto, V.; Simioni, C.; Borea, P.A. Adenosine receptors and cancer. Biochim. Biophys. Acta BBA-Biomembr. 2011, 1808, 1400–1412. [Google Scholar] [CrossRef] [Green Version]
  232. Kazemi, M.H.; Raoofi Mohseni, S.; Hojjat-Farsangi, M.; Anvari, E.; Ghalamfarsa, G.; Mohammadi, H.; Jadidi-Niaragh, F. Adenosine and adenosine receptors in the immunopathogenesis and treatment of cancer. J. Cell. Physiol. 2018, 233, 2032–2057. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  233. Fredholm, B.B.; Irenius, E.; Kull, B.; Schulte, G. Comparison of the potency of adenosine as an agonist at human adenosine receptors expressed in Chinese hamster ovary cells. Biochem. Pharmacol. 2001, 61, 443–448. [Google Scholar] [CrossRef]
  234. Aherne, C.M.; Kewley, E.M.; Eltzschig, H.K. The resurgence of A2B adenosine receptor signaling. Biochim. Et Biophys. Acta BBA-Biomembr. 2011, 1808, 1329–1339. [Google Scholar] [CrossRef]
  235. Hajiahmadi, S.; Panjehpour, M.; Aghaei, M.; Shabani, M. Activation of A2b adenosine receptor regulates ovarian cancer cell growth: Involvement of Bax/Bcl-2 and caspase-3. Biochem. Cell Biol. 2015, 93, 321–329. [Google Scholar] [CrossRef] [PubMed]
  236. Mittal, D.; Sinha, D.; Barkauskas, D.; Young, A.; Kalimutho, M.; Stannard, K.; Caramia, F.; Haibe-Kains, B.; Stagg, J.; Khanna, K.K.; et al. Adenosine 2B Receptor Expression on Cancer Cells Promotes Metastasis. Cancer Res. 2016, 76, 4372–4382. [Google Scholar] [CrossRef] [Green Version]
  237. Wang, P.; Guo, X.; Zong, W.; Song, B.; Liu, G.; He, S. MicroRNA-128b suppresses tumor growth and promotes apoptosis by targeting A2bR in gastric cancer. Biochem. Biophys. Res. Commun. 2015, 467, 798–804. [Google Scholar] [CrossRef] [PubMed]
  238. Sepúlveda, C.; Palomo, I.; Fuentes, E. Role of adenosine A2b receptor overexpression in tumor progression. Life Sci. 2016, 166, 92–99. [Google Scholar] [CrossRef] [PubMed]
  239. Yi, Y.; Zhou, Y.; Chu, X.; Zheng, X.; Fei, D.; Lei, J.; Qi, H.; Dai, Y. Blockade of adenosine A2b receptor reduces tumor growth and migration in renal cell carcinoma. J. Cancer 2020, 11, 421. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  240. Mousavi, S.; Panjehpour, M.; Izadpanahi, M.H.; Aghaei, M. Expression of adenosine receptor subclasses in malignant and adjacent normal human prostate tissues. Prostate 2015, 75, 735–747. [Google Scholar] [CrossRef]
  241. Kasama, H.; Sakamoto, Y.; Kasamatsu, A.; Okamoto, A.; Koyama, T.; Minakawa, Y.; Ogawara, K.; Yokoe, H.; Shiiba, M.; Tanzawa, H.; et al. Adenosine A2b receptor promotes progression of human oral cancer. BMC Cancer 2015, 15, 563. [Google Scholar] [CrossRef] [Green Version]
  242. Gao, Z.G.; Jacobson, K.A. A2B Adenosine Receptor and Cancer. Int. J. Mol. Sci. 2019, 20, 5139. [Google Scholar] [CrossRef] [Green Version]
  243. ClinicalTrials.gov. A Phase II Study to Test the Efficacy of AB928 (Dual Adenosine Receptor Antagonist) and AB122 (a PD1 Checkpoint Inhibitor) in Combination with Short Course Radiotherapy and Consolidation Chemotherapy for Rectal Cancer. (PANTHER); NIH: Bethesda, MD, USA, 2022.
  244. Walters, M.J.; Piovesan, D.; Tan, J.; DiRenzo, D.; Yin, F.; Miles, D.; Leleti, M.R.; Park, T.; Soriano, F.; Sharif, E. Combining adenosine receptor inhibition with AB928 and chemotherapy results in greater immune activation and tumor control. Cancer Res. 2018, 78, 5556. [Google Scholar] [CrossRef] [Green Version]
  245. Lu, Q.; Chen, X.; Wang, S.; Lu, Y.; Yang, C.; Jiang, G. Potential New Cancer Immunotherapy: Anti-CD47-SIRPα Antibodies. Onco Targets 2020, 13, 9323–9331. [Google Scholar] [CrossRef]
  246. Wu, Z.H.; Li, N.; Mei, X.F.; Chen, J.; Wang, X.Z.; Guo, T.T.; Chen, G.; Nie, L.; Chen, Y.; Jiang, M.Z.; et al. Preclinical characterization of the novel anti-SIRPα antibody BR105 that targets the myeloid immune checkpoint. J. Immunother. Cancer 2022, 10, e004054. [Google Scholar] [CrossRef] [PubMed]
  247. Maute, R.; Xu, J.; Weissman, I.L. CD47-SIRPα-targeted therapeutics: Status and prospects. Immunooncol. Technol. 2022, 13, 100070. [Google Scholar] [CrossRef] [PubMed]
  248. Takahashi, S. Molecular functions of SIRPα and its role in cancer. Biomed. Rep. 2018, 9, 3–7. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  249. Hatherley, D.; Harlos, K.; Dunlop, D.C.; Stuart, D.I.; Barclay, A.N. The structure of the macrophage signal regulatory protein alpha (SIRPalpha) inhibitory receptor reveals a binding face reminiscent of that used by T cell receptors. J. Biol. Chem. 2007, 282, 14567–14575. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  250. Hatherley, D.; Graham, S.C.; Harlos, K.; Stuart, D.I.; Barclay, A.N. Structure of signal-regulatory protein alpha: A link to antigen receptor evolution. J. Biol. Chem. 2009, 284, 26613–26619. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  251. Brown, E.J.; Frazier, W.A. Integrin-associated protein (CD47) and its ligands. Trends Cell Biol. 2001, 11, 130–135. [Google Scholar] [CrossRef]
  252. Fenalti, G.; Villanueva, N.; Griffith, M.; Pagarigan, B.; Lakkaraju, S.K.; Huang, R.Y.; Ladygina, N.; Sharma, A.; Mikolon, D.; Abbasian, M.; et al. Structure of the human marker of self 5-transmembrane receptor CD47. Nat. Commun. 2021, 12, 5218. [Google Scholar] [CrossRef]
  253. Matozaki, T.; Murata, Y.; Okazawa, H.; Ohnishi, H. Functions and molecular mechanisms of the CD47-SIRPalpha signalling pathway. Trends Cell Biol. 2009, 19, 72–80. [Google Scholar] [CrossRef]
  254. Hayat, S.M.G.; Bianconi, V.; Pirro, M.; Jaafari, M.R.; Hatamipour, M.; Sahebkar, A. CD47: Role in the immune system and application to cancer therapy. Cell Oncol. 2020, 43, 19–30. [Google Scholar] [CrossRef]
  255. Weiskopf, K. Cancer immunotherapy targeting the CD47/SIRPα axis. Eur. J. Cancer 2017, 76, 100–109. [Google Scholar] [CrossRef]
  256. Qu, T.; Li, B.; Wang, Y. Targeting CD47/SIRPα as a therapeutic strategy, where we are and where we are headed. Biomark Res. 2022, 10, 20. [Google Scholar] [CrossRef]
  257. Oldenborg, P.-A.; Zheleznyak, A.; Fang, Y.-F.; Lagenaur, C.F.; Gresham, H.D.; Lindberg, F.P. Role of CD47 as a marker of self on red blood cells. Science 2000, 288, 2051–2054. [Google Scholar] [CrossRef] [PubMed]
  258. Jaiswal, S.; Jamieson, C.H.; Pang, W.W.; Park, C.Y.; Chao, M.P.; Majeti, R.; Traver, D.; van Rooijen, N.; Weissman, I.L. CD47 is upregulated on circulating hematopoietic stem cells and leukemia cells to avoid phagocytosis. Cell 2009, 138, 271–285. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  259. Wu, L.; Yu, G.-T.; Deng, W.-W.; Mao, L.; Yang, L.-L.; Ma, S.-R.; Bu, L.-L.; Kulkarni, A.B.; Zhang, W.-F.; Zhang, L. Anti-CD47 treatment enhances anti-tumor T-cell immunity and improves immunosuppressive environment in head and neck squamous cell carcinoma. Oncoimmunology 2018, 7, e1397248. [Google Scholar] [CrossRef] [Green Version]
  260. Chao, M.P.; Tang, C.; Pachynski, R.K.; Chin, R.; Majeti, R.; Weissman, I.L. Extranodal dissemination of non-Hodgkin lymphoma requires CD47 and is inhibited by anti-CD47 antibody therapy. Blood J. Am. Soc. Hematol. 2011, 118, 4890–4901. [Google Scholar] [CrossRef]
  261. Zhang, M.; Hutter, G.; Kahn, S.A.; Azad, T.D.; Gholamin, S.; Xu, C.Y.; Liu, J.; Achrol, A.S.; Richard, C.; Sommerkamp, P. Anti-CD47 treatment stimulates phagocytosis of glioblastoma by M1 and M2 polarized macrophages and promotes M1 polarized macrophages in vivo. PLoS ONE 2016, 11, e0153550. [Google Scholar] [CrossRef]
  262. Hu, T.; Liu, H.; Liang, Z.; Wang, F.; Zhou, C.; Zheng, X.; Zhang, Y.; Song, Y.; Hu, J.; He, X. Tumor-intrinsic CD47 signal regulates glycolysis and promotes colorectal cancer cell growth and metastasis. Theranostics 2020, 10, 4056. [Google Scholar] [CrossRef] [PubMed]
  263. Zhang, A.; Ren, Z.; Tseng, K.-F.; Liu, X.; Li, H.; Lu, C.; Cai, Y.; Minna, J.D.; Fu, Y.-X. Dual targeting of CTLA-4 and CD47 on Treg cells promotes immunity against solid tumors. Sci. Transl. Med. 2021, 13, eabg8693. [Google Scholar] [CrossRef] [PubMed]
  264. Tao, H.; Qian, P.; Wang, F.; Yu, H.; Guo, Y. Targeting CD47 enhances the efficacy of anti-PD-1 and CTLA-4 in an esophageal squamous cell cancer preclinical model. Oncol. Res. 2017, 25, 1579. [Google Scholar] [CrossRef] [PubMed]
  265. He, Y.; Cao, J.; Zhao, C.; Li, X.; Zhou, C.; Hirsch, F. TIM-3, a promising target for cancer immunotherapy. OncoTargets Ther. 2018, 11, 7005–7009. [Google Scholar] [CrossRef] [PubMed]
  266. Acharya, N.; Sabatos-Peyton, C.; Anderson, A.C. Tim-3 finds its place in the cancer immunotherapy landscape. J. Immunother. Cancer 2020, 8, e000911. [Google Scholar] [CrossRef] [PubMed]
  267. Kandel, S.; Adhikary, P.; Li, G.; Cheng, K. The TIM3/Gal9 signaling pathway: An emerging target for cancer immunotherapy. Cancer Lett. 2021, 510, 67–78. [Google Scholar] [CrossRef] [PubMed]
  268. Kashio, Y.; Nakamura, K.; Abedin, M.J.; Seki, M.; Nishi, N.; Yoshida, N.; Nakamura, T.; Hirashima, M. Galectin-9 induces apoptosis through the calcium-calpain-caspase-1 pathway. J. Immunol. 2003, 170, 3631–3636. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  269. Zhu, C.; Anderson, A.C.; Schubart, A.; Xiong, H.; Imitola, J.; Khoury, S.J.; Zheng, X.X.; Strom, T.B.; Kuchroo, V.K. The Tim-3 ligand galectin-9 negatively regulates T helper type 1 immunity. Nat. Immunol. 2005, 6, 1245–1252. [Google Scholar] [CrossRef] [PubMed]
  270. Yang, R.; Sun, L.; Li, C.-F.; Wang, Y.-H.; Yao, J.; Li, H.; Yan, M.; Chang, W.-C.; Hsu, J.-M.; Cha, J.-H. Galectin-9 interacts with PD-1 and TIM-3 to regulate T cell death and is a target for cancer immunotherapy. Nat. Commun. 2021, 12, 832. [Google Scholar] [CrossRef]
  271. Nagahara, K.; Arikawa, T.; Oomizu, S.; Kontani, K.; Nobumoto, A.; Tateno, H.; Watanabe, K.; Niki, T.; Katoh, S.; Miyake, M. Galectin-9 increases Tim-3+ dendritic cells and CD8+ T cells and enhances antitumor immunity via galectin-9-Tim-3 interactions. J. Immunol. 2008, 181, 7660–7669. [Google Scholar] [CrossRef] [Green Version]
  272. Lv, K.; Zhang, Y.; Zhang, M.; Zhong, M.; Suo, Q. Galectin-9 promotes TGF-β1-dependent induction of regulatory T cells via the TGF-β/Smad signaling pathway. Mol. Med. Rep. 2013, 7, 205–210. [Google Scholar] [CrossRef] [Green Version]
  273. Li, X.; Chen, Y.; Liu, X.; Zhang, J.; He, X.; Teng, G.; Yu, D. Tim3/Gal9 interactions between T cells and monocytes result in an immunosuppressive feedback loop that inhibits Th1 responses in osteosarcoma patients. Int. Immunopharmacol. 2017, 44, 153–159. [Google Scholar] [CrossRef]
  274. Gleason, M.K.; Lenvik, T.R.; McCullar, V.; Felices, M.; O’Brien, M.S.; Cooley, S.A.; Verneris, M.R.; Cichocki, F.; Holman, C.J.; Panoskaltsis-Mortari, A. Tim-3 is an inducible human natural killer cell receptor that enhances interferon gamma production in response to galectin-9. Blood J. Am. Soc. Hematol. 2012, 119, 3064–3072. [Google Scholar]
  275. Chiba, S.; Baghdadi, M.; Akiba, H.; Yoshiyama, H.; Kinoshita, I.; Dosaka-Akita, H.; Fujioka, Y.; Ohba, Y.; Gorman, J.V.; Colgan, J.D. Tumor-infiltrating DCs suppress nucleic acid–mediated innate immune responses through interactions between the receptor TIM-3 and the alarmin HMGB1. Nat. Immunol. 2012, 13, 832–842. [Google Scholar] [CrossRef] [Green Version]
  276. Nakayama, M.; Akiba, H.; Takeda, K.; Kojima, Y.; Hashiguchi, M.; Azuma, M.; Yagita, H.; Okumura, K. Tim-3 mediates phagocytosis of apoptotic cells and cross-presentation. Blood J. Am. Soc. Hematol. 2009, 113, 3821–3830. [Google Scholar] [CrossRef] [PubMed]
  277. Tu, L.; Guan, R.; Yang, H.; Zhou, Y.; Hong, W.; Ma, L.; Zhao, G.; Yu, M. Assessment of the expression of the immune checkpoint molecules PD-1, CTLA4, TIM-3 and LAG-3 across different cancers in relation to treatment response, tumor-infiltrating immune cells and survival. Int. J. Cancer 2020, 147, 423–439. [Google Scholar] [CrossRef]
  278. Klein, C.; Schaefer, W.; Regula, J.T.; Dumontet, C.; Brinkmann, U.; Bacac, M.; Umaña, P. Engineering therapeutic bispecific antibodies using CrossMab technology. Methods 2019, 154, 21–31. [Google Scholar] [CrossRef] [PubMed]
  279. Curigliano, G.; Gelderblom, H.; Mach, N.; Doi, T.; Tai, D.; Forde, P.M.; Sarantopoulos, J.; Bedard, P.L.; Lin, C.C.; Hodi, F.S.; et al. Phase I/Ib Clinical Trial of Sabatolimab, an Anti-TIM-3 Antibody, Alone and in Combination with Spartalizumab, an Anti-PD-1 Antibody, in Advanced Solid Tumors. Clin. Cancer Res. 2021, 27, 3620–3629. [Google Scholar] [CrossRef] [PubMed]
  280. Huo, J.L.; Wang, Y.T.; Fu, W.J.; Lu, N.; Liu, Z.S. The promising immune checkpoint LAG-3 in cancer immunotherapy: From basic research to clinical application. Front. Immunol. 2022, 13, 956090. [Google Scholar] [CrossRef] [PubMed]
  281. Long, L.; Zhang, X.; Chen, F.; Pan, Q.; Phiphatwatchara, P.; Zeng, Y.; Chen, H. The promising immune checkpoint LAG-3: From tumor microenvironment to cancer immunotherapy. Genes Cancer 2018, 9, 176–189. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  282. Demeure, C.E.; Wolfers, J.; Martin-Garcia, N.; Gaulard, P.; Triebel, F. T Lymphocytes infiltrating various tumour types express the MHC class II ligand lymphocyte activation gene-3 (LAG-3): Role of LAG-3/MHC class II interactions in cell-cell contacts. Eur. J. Cancer 2001, 37, 1709–1718. [Google Scholar] [CrossRef]
  283. Durham, N.M.; Nirschl, C.J.; Jackson, C.M.; Elias, J.; Kochel, C.M.; Anders, R.A.; Drake, C.G. Lymphocyte Activation Gene 3 (LAG-3) modulates the ability of CD4 T-cells to be suppressed in vivo. PLoS ONE 2014, 9, e109080. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  284. Peña, J.; Jones, N.G.; Bousheri, S.; Bangsberg, D.R.; Cao, H. Lymphocyte activation gene-3 expression defines a discrete subset of HIV-specific CD8+ T cells that is associated with lower viral load. AIDS Res. Hum. Retrovir. 2014, 30, 535–541. [Google Scholar] [CrossRef] [Green Version]
  285. Gagliani, N.; Magnani, C.F.; Huber, S.; Gianolini, M.E.; Pala, M.; Licona-Limon, P.; Guo, B.; Herbert, D.R.; Bulfone, A.; Trentini, F.; et al. Coexpression of CD49b and LAG-3 identifies human and mouse T regulatory type 1 cells. Nat. Med. 2013, 19, 739–746. [Google Scholar] [CrossRef]
  286. Huang, C.T.; Workman, C.J.; Flies, D.; Pan, X.; Marson, A.L.; Zhou, G.; Hipkiss, E.L.; Ravi, S.; Kowalski, J.; Levitsky, H.I.; et al. Role of LAG-3 in regulatory T cells. Immunity 2004, 21, 503–513. [Google Scholar] [CrossRef] [PubMed]
  287. Andreae, S.; Buisson, S.; Triebel, F. MHC class II signal transduction in human dendritic cells induced by a natural ligand, the LAG-3 protein (CD223). Blood 2003, 102, 2130–2137. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  288. Workman, C.J.; Wang, Y.; El Kasmi, K.C.; Pardoll, D.M.; Murray, P.J.; Drake, C.G.; Vignali, D.A. LAG-3 regulates plasmacytoid dendritic cell homeostasis. J. Immunol. 2009, 182, 1885–1891. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  289. Kisielow, M.; Kisielow, J.; Capoferri-Sollami, G.; Karjalainen, K. Expression of lymphocyte activation gene 3 (LAG-3) on B cells is induced by T cells. Eur. J. Immunol. 2005, 35, 2081–2088. [Google Scholar] [CrossRef] [PubMed]
  290. Huard, B.; Mastrangeli, R.; Prigent, P.; Bruniquel, D.; Donini, S.; El-Tayar, N.; Maigret, B.; Dréano, M.; Triebel, F. Characterization of the major histocompatibility complex class II binding site on LAG-3 protein. Proc. Natl. Acad. Sci. USA 1997, 94, 5744–5749. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  291. Dong, R.; Zhang, M.; Hu, Q.; Zheng, S.; Soh, A.; Zheng, Y.; Yuan, H. Galectin-3 as a novel biomarker for disease diagnosis and a target for therapy (Review). Int. J. Mol. Med. 2018, 41, 599–614. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  292. Kouo, T.; Huang, L.; Pucsek, A.B.; Cao, M.; Solt, S.; Armstrong, T.; Jaffee, E. Galectin-3 Shapes Antitumor Immune Responses by Suppressing CD8+ T Cells via LAG-3 and Inhibiting Expansion of Plasmacytoid Dendritic Cells. Cancer Immunol. Res. 2015, 3, 412–423. [Google Scholar] [CrossRef] [Green Version]
  293. Huard, B.; Prigent, P.; Tournier, M.; Bruniquel, D.; Triebel, F. CD4/major histocompatibility complex class II interaction analyzed with CD4- and lymphocyte activation gene-3 (LAG-3)-Ig fusion proteins. Eur. J. Immunol. 1995, 25, 2718–2721. [Google Scholar] [CrossRef] [PubMed]
  294. Maruhashi, T.; Sugiura, D.; Okazaki, I.M.; Shimizu, K.; Maeda, T.K.; Ikubo, J.; Yoshikawa, H.; Maenaka, K.; Ishimaru, N.; Kosako, H.; et al. Binding of LAG-3 to stable peptide-MHC class II limits T cell function and suppresses autoimmunity and anti-cancer immunity. Immunity 2022, 55, 912–924.e918. [Google Scholar] [CrossRef]
  295. Hemon, P.; Jean-Louis, F.; Ramgolam, K.; Brignone, C.; Viguier, M.; Bachelez, H.; Triebel, F.; Charron, D.; Aoudjit, F.; Al-Daccak, R.; et al. MHC class II engagement by its ligand LAG-3 (CD223) contributes to melanoma resistance to apoptosis. J. Immunol. 2011, 186, 5173–5183. [Google Scholar] [CrossRef] [Green Version]
  296. Liang, B.; Workman, C.; Lee, J.; Chew, C.; Dale, B.M.; Colonna, L.; Flores, M.; Li, N.; Schweighoffer, E.; Greenberg, S.; et al. Regulatory T cells inhibit dendritic cells by lymphocyte activation gene-3 engagement of MHC class II. J. Immunol. 2008, 180, 5916–5926. [Google Scholar] [CrossRef] [PubMed]
  297. Wang, J.; Sanmamed, M.F.; Datar, I.; Su, T.T.; Ji, L.; Sun, J.; Chen, L.; Chen, Y.; Zhu, G.; Yin, W.; et al. Fibrinogen-like Protein 1 Is a Major Immune Inhibitory Ligand of LAG-3. Cell 2019, 176, 334–347.e312. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  298. Du, H.; Yi, Z.; Wang, L.; Li, Z.; Niu, B.; Ren, G. The co-expression characteristics of LAG3 and PD-1 on the T cells of patients with breast cancer reveal a new therapeutic strategy. Int. Immunopharmacol. 2020, 78, 106113. [Google Scholar] [CrossRef] [PubMed]
  299. Liu, W.; Tang, L.; Zhang, G.; Wei, H.; Cui, Y.; Guo, L.; Gou, Z.; Chen, X.; Jiang, D.; Zhu, Y.; et al. Characterization of a novel C-type lectin-like gene, LSECtin: Demonstration of carbohydrate binding and expression in sinusoidal endothelial cells of liver and lymph node. J. Biol. Chem. 2004, 279, 18748–18758. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  300. Xu, F.; Liu, J.; Liu, D.; Liu, B.; Wang, M.; Hu, Z.; Du, X.; Tang, L.; He, F. LSECtin expressed on melanoma cells promotes tumor progression by inhibiting antitumor T-cell responses. Cancer Res. 2014, 74, 3418–3428. [Google Scholar] [CrossRef] [Green Version]
  301. Workman, C.J.; Cauley, L.S.; Kim, I.J.; Blackman, M.A.; Woodland, D.L.; Vignali, D.A. Lymphocyte activation gene-3 (CD223) regulates the size of the expanding T cell population following antigen activation in vivo. J. Immunol. 2004, 172, 5450–5455. [Google Scholar] [CrossRef] [Green Version]
  302. Maçon-Lemaître, L.; Triebel, F. The negative regulatory function of the lymphocyte-activation gene-3 co-receptor (CD223) on human T cells. Immunology 2005, 115, 170–178. [Google Scholar] [CrossRef]
  303. Previte, D.M.; Martins, C.P.; O’Connor, E.C.; Marre, M.L.; Coudriet, G.M.; Beck, N.W.; Menk, A.V.; Wright, R.H.; Tse, H.M.; Delgoffe, G.M.; et al. Lymphocyte Activation Gene-3 Maintains Mitochondrial and Metabolic Quiescence in Naive CD4. Cell Rep. 2019, 27, 129–141.e4. [Google Scholar] [CrossRef] [Green Version]
  304. Camisaschi, C.; Casati, C.; Rini, F.; Perego, M.; De Filippo, A.; Triebel, F.; Parmiani, G.; Belli, F.; Rivoltini, L.; Castelli, C. LAG-3 expression defines a subset of CD4(+)CD25(high)Foxp3(+) regulatory T cells that are expanded at tumor sites. J. Immunol. 2010, 184, 6545–6551. [Google Scholar] [CrossRef] [Green Version]
  305. Graydon, C.G.; Mohideen, S.; Fowke, K.R. LAG3’s Enigmatic Mechanism of Action. Front. Immunol. 2020, 11, 615317. [Google Scholar] [CrossRef]
  306. Li, N.; Wang, Y.; Forbes, K.; Vignali, K.M.; Heale, B.S.; Saftig, P.; Hartmann, D.; Black, R.A.; Rossi, J.J.; Blobel, C.P.; et al. Metalloproteases regulate T-cell proliferation and effector function via LAG-3. EMBO J. 2007, 26, 494–504. [Google Scholar] [CrossRef]
  307. Zhai, W.; Zhou, X.; Wang, H.; Li, W.; Chen, G.; Sui, X.; Li, G.; Qi, Y.; Gao, Y. A novel cyclic peptide targeting LAG-3 for cancer immunotherapy by activating antigen-specific CD8. Acta Pharm. Sin. B 2020, 10, 1047–1060. [Google Scholar] [CrossRef]
  308. Sordo-Bahamonde, C.; Lorenzo-Herrero, S.; González-Rodríguez, A.P.; Payer, Á.; González-García, E.; López-Soto, A.; Gonzalez, S. LAG-3 Blockade with Relatlimab (BMS-986016) Restores Anti-Leukemic Responses in Chronic Lymphocytic Leukemia. Cancers 2021, 13, 2112. [Google Scholar] [CrossRef] [PubMed]
  309. Yang, S.; Wei, W.; Zhao, Q. B7-H3, a checkpoint molecule, as a target for cancer immunotherapy. Int. J. Biol. Sci. 2020, 16, 1767. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  310. Chapoval, A.I.; Ni, J.; Lau, J.S.; Wilcox, R.A.; Flies, D.B.; Liu, D.; Dong, H.; Sica, G.L.; Zhu, G.; Tamada, K. B7-H3: A costimulatory molecule for T cell activation and IFN-γ production. Nat. Immunol. 2001, 2, 269–274. [Google Scholar] [CrossRef] [PubMed]
  311. Mao, Y.; Chen, L.; Wang, F.; Zhu, D.; Ge, X.; Hua, D.; Sun, J. Cancer cell-expressed B7-H3 regulates the differentiation of tumor-associated macrophages in human colorectal carcinoma. Oncol. Lett. 2017, 14, 6177–6183. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  312. Zhang, X.; Ji, J.; Zhang, G.; Fang, C.; Jiang, F.; Ma, S.; Hou, J. Expression and significance of B7-H3 and Tie-2 in the tumor vasculature of clear cell renal carcinoma. OncoTargets Ther. 2017, 10, 5417. [Google Scholar] [CrossRef] [Green Version]
  313. Yonesaka, K.; Haratani, K.; Takamura, S.; Sakai, H.; Kato, R.; Takegawa, N.; Takahama, T.; Tanaka, K.; Hayashi, H.; Takeda, M. B7-H3 Negatively Modulates CTL-Mediated Cancer ImmunityB7-H3 Negatively Modulates Cancer Immunity. Clin. Cancer Res. 2018, 24, 2653–2664. [Google Scholar] [CrossRef] [Green Version]
  314. Zhao, X.; Li, D.-C.; Zhu, X.-G.; Gan, W.-J.; Li, Z.; Xiong, F.; Zhang, Z.-X.; Zhang, G.-B.; Zhang, X.-G.; Zhao, H. B7-H3 overexpression in pancreatic cancer promotes tumor progression. Int. J. Mol. Med. 2013, 31, 283–291. [Google Scholar] [CrossRef] [Green Version]
  315. Suh, W.-K.; Gajewska, B.U.; Okada, H.; Gronski, M.A.; Bertram, E.M.; Dawicki, W.; Duncan, G.S.; Bukczynski, J.; Plyte, S.; Elia, A. The B7 family member B7-H3 preferentially down-regulates T helper type 1–mediated immune responses. Nat. Immunol. 2003, 4, 899–906. [Google Scholar] [CrossRef]
  316. Chen, J.-T.; Chen, C.-H.; Ku, K.-L.; Hsiao, M.; Chiang, C.-P.; Hsu, T.-L.; Chen, M.-H.; Wong, C.-H. Glycoprotein B7-H3 overexpression and aberrant glycosylation in oral cancer and immune response. Proc. Natl. Acad. Sci. USA 2015, 112, 13057–13062. [Google Scholar] [CrossRef] [PubMed]
  317. Jin, Y.; Zhang, P.; Li, J.; Zhao, J.; Liu, C.; Yang, F.; Yang, D.; Gao, A.; Lin, W.; Ma, X. B7-H3 in combination with regulatory T cell is associated with tumor progression in primary human non-small cell lung cancer. Int. J. Clin. Exp. Pathol. 2015, 8, 13987. [Google Scholar] [PubMed]
  318. Li, M.; Zhang, G.; Zhang, X.; Lv, G.; Wei, X.; Yuan, H.; Hou, J. Overexpression of B7-H3 in CD14+ monocytes is associated with renal cell carcinoma progression. Med. Oncol. 2014, 31, 349. [Google Scholar] [CrossRef]
  319. Bin, Z.; Guangbo, Z.; Yan, G.; Huan, Z.; Desheng, L.; Xueguang, Z. Overexpression of B7-H3 in CD133+ colorectal cancer cells is associated with cancer progression and survival in human patients. J. Surg. Res. 2014, 188, 396–403. [Google Scholar] [CrossRef]
  320. Liu, C.; Liu, J.; Wang, J.; Liu, Y.; Zhang, F.; Lin, W.; Gao, A.; Sun, M.; Wang, Y.; Sun, Y. B7-H3 expression in ductal and lobular breast cancer and its association with IL-10. Mol. Med. Rep. 2013, 7, 134–138. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  321. Loo, D.; Alderson, R.F.; Chen, F.Z.; Huang, L.; Zhang, W.; Gorlatov, S.; Burke, S.; Ciccarone, V.; Li, H.; Yang, Y. Development of an Fc-Enhanced Anti–B7-H3 Monoclonal Antibody with Potent Antitumor ActivityDevelopment of Fc-Enhanced Anti–B7-H3 Monoclonal Antibody. Clin. Cancer Res. 2012, 18, 3834–3845. [Google Scholar] [CrossRef] [Green Version]
  322. Ma, J.; Ma, P.; Zhao, C.; Xue, X.; Han, H.; Liu, C.; Tao, H.; Xiu, W.; Cai, J.; Zhang, M. B7-H3 as a promising target for cytotoxicity T cell in human cancer therapy. Oncotarget 2016, 7, 29480. [Google Scholar] [CrossRef] [Green Version]
  323. Lord, C.J.; Ashworth, A. PARP inhibitors: Synthetic lethality in the clinic. Science 2017, 355, 1152–1158. [Google Scholar] [CrossRef]
  324. Peyraud, F.; Italiano, A. Combined PARP inhibition and immune checkpoint therapy in solid tumors. Cancers 2020, 12, 1502. [Google Scholar] [CrossRef]
  325. De Vos, M.; Schreiber, V.; Dantzer, F. The diverse roles and clinical relevance of PARPs in DNA damage repair: Current state of the art. Biochem. Pharmacol. 2012, 84, 137–146. [Google Scholar] [CrossRef]
  326. Pascal, J.M. The comings and goings of PARP-1 in response to DNA damage. DNA Repair 2018, 71, 177–182. [Google Scholar] [CrossRef] [PubMed]
  327. Wei, H.; Yu, X. Functions of PARylation in DNA damage repair pathways. Genom. Proteom. Bioinform. 2016, 14, 131–139. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  328. Langelier, M.-F.; Eisemann, T.; Riccio, A.A.; Pascal, J.M. PARP family enzymes: Regulation and catalysis of the poly (ADP-ribose) posttranslational modification. Curr. Opin. Struct. Biol. 2018, 53, 187–198. [Google Scholar] [CrossRef]
  329. Wu, Z.; Cui, P.; Tao, H.; Zhang, S.; Ma, J.; Liu, Z.; Wang, J.; Qian, Y.; Chen, S.; Huang, Z. The synergistic effect of PARP inhibitors and immune checkpoint inhibitors. Clin. Med. Insights Oncol. 2021, 15, 1179554921996288. [Google Scholar] [CrossRef] [PubMed]
  330. Sen, T.; Rodriguez, B.L.; Chen, L.; Corte, C.M.D.; Morikawa, N.; Fujimoto, J.; Cristea, S.; Nguyen, T.; Diao, L.; Li, L. Targeting DNA Damage Response Promotes Antitumor Immunity through STING-Mediated T-cell Activation in Small Cell Lung CancerDDR Inhibition Enhances Antitumor Immunity in SCLC. Cancer Discov. 2019, 9, 646–661. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  331. Xue, C.; Xu, Y.; Ye, W.; Xie, Q.; Gao, H.; Xu, B.; Zhang, D.; Jiang, J. Expression of PD-L1 in ovarian cancer and its synergistic antitumor effect with PARP inhibitor. Gynecol. Oncol. 2020, 157, 222–233. [Google Scholar] [CrossRef]
  332. Huang, J.; Wang, L.; Cong, Z.; Amoozgar, Z.; Kiner, E.; Xing, D.; Orsulic, S.; Matulonis, U.; Goldberg, M.S. The PARP1 inhibitor BMN 673 exhibits immunoregulatory effects in a Brca1−/− murine model of ovarian cancer. Biochem. Biophys. Res. Commun. 2015, 463, 551–556. [Google Scholar] [CrossRef]
  333. Aurelius, J.; Martner, A.; Riise, R.E.; Romero, A.I.; Palmqvist, L.; Brune, M.; Hellstrand, K.; Thorén, F.B. Chronic myeloid leukemic cells trigger poly (ADP-ribose) polymerase-dependent inactivation and cell death in lymphocytes. J. Leukoc. Biol. 2013, 93, 155–160. [Google Scholar] [CrossRef]
  334. Fenerty, K.E.; Padget, M.; Wolfson, B.; Gameiro, S.R.; Su, Z.; Lee, J.H.; Rabizadeh, S.; Soon-Shiong, P.; Hodge, J.W. Immunotherapy utilizing the combination of natural killer–and antibody dependent cellular cytotoxicity (ADCC)–mediating agents with poly (ADP-ribose) polymerase (PARP) inhibition. J. ImmunoTherapy Cancer 2018, 6, 133. [Google Scholar] [CrossRef]
  335. Kaye, S.B.; Lubinski, J.; Matulonis, U.; Ang, J.E.; Gourley, C.; Karlan, B.Y.; Amnon, A.; Bell-McGuinn, K.M.; Chen, L.-M.; Friedlander, M. Phase II, open-label, randomized, multicenter study comparing the efficacy and safety of olaparib, a poly (ADP-ribose) polymerase inhibitor, and pegylated liposomal doxorubicin in patients with BRCA1 or BRCA2 mutations and recurrent ovarian cancer. J. Clin. Oncol. 2012, 30, 372–379. [Google Scholar] [CrossRef]
  336. Lin, K.Y.; Kraus, W.L. PARP inhibitors for cancer therapy. Cell 2017, 169, 183. [Google Scholar] [CrossRef] [PubMed]
  337. Litton, J.K.; Rugo, H.S.; Ettl, J.; Hurvitz, S.A.; Gonçalves, A.; Lee, K.-H.; Fehrenbacher, L.; Yerushalmi, R.; Mina, L.A.; Martin, M. Talazoparib in patients with advanced breast cancer and a germline BRCA mutation. N. Engl. J. Med. 2018, 379, 753–763. [Google Scholar] [CrossRef] [PubMed]
  338. Oza, A.M.; Tinker, A.V.; Oaknin, A.; Shapira-Frommer, R.; McNeish, I.A.; Swisher, E.M.; Ray-Coquard, I.; Bell-McGuinn, K.; Coleman, R.L.; O’Malley, D.M. Antitumor activity and safety of the PARP inhibitor rucaparib in patients with high-grade ovarian carcinoma and a germline or somatic BRCA1 or BRCA2 mutation: Integrated analysis of data from Study 10 and ARIEL2. Gynecol. Oncol. 2017, 147, 267–275. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  339. Swisher, E.M.; Lin, K.K.; Oza, A.M.; Scott, C.L.; Giordano, H.; Sun, J.; Konecny, G.E.; Coleman, R.L.; Tinker, A.V.; O’Malley, D.M. Rucaparib in relapsed, platinum-sensitive high-grade ovarian carcinoma (ARIEL2 Part 1): An international, multicentre, open-label, phase 2 trial. Lancet Oncol. 2017, 18, 75–87. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  340. Moore, K.; Colombo, N.; Scambia, G.; Kim, B.-G.; Oaknin, A.; Friedlander, M.; Lisyanskaya, A.; Floquet, A.; Leary, A.; Sonke, G.S. Maintenance olaparib in patients with newly diagnosed advanced ovarian cancer. N. Engl. J. Med. 2018, 379, 2495–2505. [Google Scholar] [CrossRef]
  341. Shen, J.; Zhao, W.; Ju, Z.; Wang, L.; Peng, Y.; Labrie, M.; Yap, T.A.; Mills, G.B.; Peng, G. PARPi Triggers the STING-Dependent Immune Response and Enhances the Therapeutic Efficacy of Immune Checkpoint Blockade Independent of BRCAnessPARP1 Inhibitors Trigger Antitumor Immunity. Cancer Res. 2019, 79, 311–319. [Google Scholar] [CrossRef] [Green Version]
  342. Wang, Z.; Sun, K.; Xiao, Y.; Feng, B.; Mikule, K.; Ma, X.; Feng, N.; Vellano, C.P.; Federico, L.; Marszalek, J.R. Niraparib activates interferon signaling and potentiates anti-PD-1 antibody efficacy in tumor models. Sci. Rep. 2019, 9, 1853. [Google Scholar] [CrossRef] [Green Version]
  343. Vikas, P.; Borcherding, N.; Chennamadhavuni, A.; Garje, R. Therapeutic potential of combining PARP inhibitor and immunotherapy in solid tumors. Front. Oncol. 2020, 10, 570. [Google Scholar] [CrossRef]
  344. Chauvin, J.M.; Zarour, H.M. TIGIT in cancer immunotherapy. J. Immunother. Cancer 2020, 8, e000957. [Google Scholar] [CrossRef]
  345. Boles, K.S.; Vermi, W.; Facchetti, F.; Fuchs, A.; Wilson, T.J.; Diacovo, T.G.; Cella, M.; Colonna, M. A novel molecular interaction for the adhesion of follicular CD4 T cells to follicular DC. Eur. J. Immunol 2009, 39, 695–703. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  346. Stanietsky, N.; Simic, H.; Arapovic, J.; Toporik, A.; Levy, O.; Novik, A.; Levine, Z.; Beiman, M.; Dassa, L.; Achdout, H.; et al. The interaction of TIGIT with PVR and PVRL2 inhibits human NK cell cytotoxicity. Proc. Natl. Acad. Sci. USA 2009, 106, 17858–17863. [Google Scholar] [CrossRef] [PubMed]
  347. Yu, X.; Harden, K.; Gonzalez, L.C.; Francesco, M.; Chiang, E.; Irving, B.; Tom, I.; Ivelja, S.; Refino, C.J.; Clark, H.; et al. The surface protein TIGIT suppresses T cell activation by promoting the generation of mature immunoregulatory dendritic cells. Nat. Immunol. 2009, 10, 48–57. [Google Scholar] [CrossRef] [PubMed]
  348. Levin, S.D.; Taft, D.W.; Brandt, C.S.; Bucher, C.; Howard, E.D.; Chadwick, E.M.; Johnston, J.; Hammond, A.; Bontadelli, K.; Ardourel, D.; et al. Vstm3 is a member of the CD28 family and an important modulator of T-cell function. Eur. J. Immunol. 2011, 41, 902–915. [Google Scholar] [CrossRef]
  349. Bottino, C.; Castriconi, R.; Pende, D.; Rivera, P.; Nanni, M.; Carnemolla, B.; Cantoni, C.; Grassi, J.; Marcenaro, S.; Reymond, N.; et al. Identification of PVR (CD155) and Nectin-2 (CD112) as cell surface ligands for the human DNAM-1 (CD226) activating molecule. J. Exp. Med. 2003, 198, 557–567. [Google Scholar] [CrossRef] [Green Version]
  350. Seth, S.; Maier, M.K.; Qiu, Q.; Ravens, I.; Kremmer, E.; Förster, R.; Bernhardt, G. The murine pan T cell marker CD96 is an adhesion receptor for CD155 and nectin-1. Biochem. Biophys. Res. Commun. 2007, 364, 959–965. [Google Scholar] [CrossRef]
  351. Zhu, Y.; Paniccia, A.; Schulick, A.C.; Chen, W.; Koenig, M.R.; Byers, J.T.; Yao, S.; Bevers, S.; Edil, B.H. Identification of CD112R as a novel checkpoint for human T cells. J. Exp. Med. 2016, 213, 167–176. [Google Scholar] [CrossRef]
  352. Zhang, Q.; Bi, J.; Zheng, X.; Chen, Y.; Wang, H.; Wu, W.; Wang, Z.; Wu, Q.; Peng, H.; Wei, H.; et al. Blockade of the checkpoint receptor TIGIT prevents NK cell exhaustion and elicits potent anti-tumor immunity. Nat. Immunol. 2018, 19, 723–732. [Google Scholar] [CrossRef]
  353. Johnston, R.J.; Comps-Agrar, L.; Hackney, J.; Yu, X.; Huseni, M.; Yang, Y.; Park, S.; Javinal, V.; Chiu, H.; Irving, B.; et al. The immunoreceptor TIGIT regulates antitumor and antiviral CD8(+) T cell effector function. Cancer Cell 2014, 26, 923–937. [Google Scholar] [CrossRef] [Green Version]
  354. He, W.; Zhang, H.; Han, F.; Chen, X.; Lin, R.; Wang, W.; Qiu, H.; Zhuang, Z.; Liao, Q.; Zhang, W.; et al. CD155T/TIGIT Signaling Regulates CD8. Cancer Res. 2017, 77, 6375–6388. [Google Scholar] [CrossRef] [Green Version]
  355. Li, X.Y.; Das, I.; Lepletier, A.; Addala, V.; Bald, T.; Stannard, K.; Barkauskas, D.; Liu, J.; Aguilera, A.R.; Takeda, K.; et al. CD155 loss enhances tumor suppression via combined host and tumor-intrinsic mechanisms. J. Clin. Investig. 2018, 128, 2613–2625. [Google Scholar] [CrossRef] [Green Version]
  356. Wang, L.; Rubinstein, R.; Lines, J.L.; Wasiuk, A.; Ahonen, C.; Guo, Y.; Lu, L.F.; Gondek, D.; Wang, Y.; Fava, R.A.; et al. VISTA, a novel mouse Ig superfamily ligand that negatively regulates T cell responses. J. Exp. Med. 2011, 208, 577–592. [Google Scholar] [CrossRef]
  357. Muller, S.; Victoria Lai, W.; Adusumilli, P.S.; Desmeules, P.; Frosina, D.; Jungbluth, A.; Ni, A.; Eguchi, T.; Travis, W.D.; Ladanyi, M.; et al. V-domain Ig-containing suppressor of T-cell activation (VISTA), a potentially targetable immune checkpoint molecule, is highly expressed in epithelioid malignant pleural mesothelioma. Mod. Pathol. 2020, 33, 303–311. [Google Scholar] [CrossRef] [PubMed]
  358. Rosenbaum, S.R.; Knecht, M.; Mollaee, M.; Zhong, Z.; Erkes, D.A.; McCue, P.A.; Chervoneva, I.; Berger, A.C.; Lo, J.A.; Fisher, D.E.; et al. FOXD3 Regulates VISTA Expression in Melanoma. Cell Rep. 2020, 30, 510–524.e516. [Google Scholar] [CrossRef]
  359. Villarroel-Espindola, F.; Yu, X.; Datar, I.; Mani, N.; Sanmamed, M.; Velcheti, V.; Syrigos, K.; Toki, M.; Zhao, H.; Chen, L.; et al. Spatially Resolved and Quantitative Analysis of VISTA/PD-1H as a Novel Immunotherapy Target in Human Non-Small Cell Lung Cancer. Clin. Cancer Res. 2018, 24, 1562–1573. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  360. Xie, X.; Zhang, J.; Shi, Z.; Liu, W.; Hu, X.; Qie, C.; Chen, W.; Wang, Y.; Wang, L.; Jiang, J.; et al. The Expression Pattern and Clinical Significance of the Immune Checkpoint Regulator VISTA in Human Breast Cancer. Front. Immunol. 2020, 11, 563044. [Google Scholar] [CrossRef]
  361. Hong, S.; Yuan, Q.; Xia, H.; Zhu, G.; Feng, Y.; Wang, Q.; Zhang, Z.; He, W.; Lu, J.; Dong, C.; et al. Analysis of VISTA expression and function in renal cell carcinoma highlights VISTA as a potential target for immunotherapy. Protein Cell 2019, 10, 840–845. [Google Scholar] [CrossRef] [Green Version]
  362. Xie, S.; Huang, J.; Qiao, Q.; Zang, W.; Hong, S.; Tan, H.; Dong, C.; Yang, Z.; Ni, L. Expression of the inhibitory B7 family molecule VISTA in human colorectal carcinoma tumors. Cancer Immunol. Immunother. 2018, 67, 1685–1694. [Google Scholar] [CrossRef]
  363. Mulati, K.; Hamanishi, J.; Matsumura, N.; Chamoto, K.; Mise, N.; Abiko, K.; Baba, T.; Yamaguchi, K.; Horikawa, N.; Murakami, R.; et al. VISTA expressed in tumour cells regulates T cell function. Br. J. Cancer 2019, 120, 115–127. [Google Scholar] [CrossRef] [Green Version]
  364. Mehta, N.; Maddineni, S.; Mathews, I.I.; Andres Parra Sperberg, R.; Huang, P.S.; Cochran, J.R. Structure and Functional Binding Epitope of V-domain Ig Suppressor of T Cell Activation. Cell Rep. 2019, 28, 2509–2516.e2505. [Google Scholar] [CrossRef] [PubMed]
  365. Tagliamento, M.; Agostinetto, E.; Borea, R.; Brandão, M.; Poggio, F.; Addeo, A.; Lambertini, M. VISTA: A Promising Target for Cancer Immunotherapy? Immunotargets 2021, 10, 185–200. [Google Scholar] [CrossRef] [PubMed]
  366. Corda, D.; Di Girolamo, M. Functional aspects of protein mono-ADP-ribosylation. EMBO J. 2003, 22, 1953–1958. [Google Scholar] [CrossRef]
  367. Wennerberg, E.; Mukherjee, S.; Sainz, R.M.; Stiles, B.M. The ART of tumor immune escape. OncoImmunology 2022, 11, 2076310. [Google Scholar] [CrossRef] [PubMed]
  368. Wennerberg, E.; Mukherjee, S.; Spada, S.; Hung, C.; Agrusa, C.J.; Chen, C.; Valeta-Magara, A.; Rudqvist, N.-P.; Van Nest, S.J.; Kamel, M.K. Expression of the mono-ADP-ribosyltransferase ART1 by tumor cells mediates immune resistance in non–small cell lung cancer. Sci. Transl. Med. 2022, 14, eabe8195. [Google Scholar] [CrossRef]
  369. Mukherjee, S.; Wennerberg, E.; Hung, C.; Saadallah, N.; Kariyawasam, S.; Agrusa, C.; Valeta, A.; Altorki, N.; McGraw, T.; Demaria, S. Art1, an extracellular mono-ADP-ribosyltransferase, is upregulated in response to cellular stress and promotes lung cancer growth. Cancer Res. 2020, 80, 1820. [Google Scholar] [CrossRef]
  370. Mukherjee, S.; Wennerberg, E.; Hung, C.; Saadallah, N.; Kariyawasam, S.; Hussein, M.; Narula, N.; Adusumilli, P.; Borczuk, A.; Altorki, N. A05 ART1, a Mono-ADP-Ribosyltransferase, Regulates Tumor-Infiltrating CD8+ T Cells and Is Highly Expressed in EGFR Mutated Lung Cancers. J. Thorac. Oncol. 2020, 15, S13. [Google Scholar] [CrossRef]
  371. Andtbacka, R.H.; Kaufman, H.L.; Collichio, F.; Amatruda, T.; Senzer, N.; Chesney, J.; Delman, K.A.; Spitler, L.E.; Puzanov, I.; Agarwala, S.S. Talimogene laherparepvec improves durable response rate in patients with advanced melanoma. J. Clin. Oncol. 2015, 33, 2780–2788. [Google Scholar] [CrossRef]
  372. Solinas, C.; Gu-Trantien, C.; Willard-Gallo, K. The rationale behind targeting the ICOS-ICOS ligand costimulatory pathway in cancer immunotherapy. ESMO Open 2020, 5, e000544. [Google Scholar] [CrossRef] [Green Version]
  373. Wei, Y.; Ren, X.; Galbo, P.M.; Moerdler, S.; Wang, H.; Sica, R.A.; Etemad-Gilbertson, B.; Shi, L.; Zhu, L.; Tang, X.; et al. KIR3DL3-HHLA2 is a human immunosuppressive pathway and a therapeutic target. Sci. Immunol. 2021, 6, eabf9792. [Google Scholar] [CrossRef]
  374. Ren, X.; Peng, M.; Xing, P.; Wei, Y.; Galbo, P.M.; Corrigan, D.; Wang, H.; Su, Y.; Dong, X.; Sun, Q.; et al. Blockade of the immunosuppressive KIR2DL5/PVR pathway elicits potent human NK cell-mediated antitumor immunity. J. Clin. Investig. 2022, 132, e163620. [Google Scholar] [CrossRef]
  375. Bilemjian, V.; Vlaming, M.R.; Álvarez Freile, J.; Huls, G.; De Bruyn, M.; Bremer, E. The Novel Immune Checkpoint GPR56 Is Expressed on Tumor-Infiltrating Lymphocytes and Selectively Upregulated upon TCR Signaling. Cancers 2022, 14, 3164. [Google Scholar] [CrossRef]
  376. Aubert, N.; Brunel, S.; Olive, D.; Marodon, G. Blockade of HVEM for Prostate Cancer Immunotherapy in Humanized Mice. Cancers 2021, 13, 3009. [Google Scholar] [CrossRef] [PubMed]
  377. Leichter, A.L.; Sullivan, M.J.; Eccles, M.R.; Chatterjee, A. MicroRNA expression patterns and signalling pathways in the development and progression of childhood solid tumours. Mol. Cancer 2017, 16, 15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  378. Marin-Acevedo, J.A.; Soyano, A.E.; Dholaria, B.; Knutson, K.L.; Lou, Y. Cancer immunotherapy beyond immune checkpoint inhibitors. J. Hematol. Oncol. 2018, 11, 8. [Google Scholar] [CrossRef] [PubMed]
  379. Halvorsen, A.R.; Sandhu, V.; Sprauten, M.; Flote, V.G.; Kure, E.H.; Brustugun, O.T.; Helland, Å. Circulating microRNAs associated with prolonged overall survival in lung cancer patients treated with nivolumab. Acta Oncol. 2018, 57, 1225–1231. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  380. Huber, V.; Vallacchi, V.; Fleming, V.; Hu, X.; Cova, A.; Dugo, M.; Shahaj, E.; Sulsenti, R.; Vergani, E.; Filipazzi, P. Tumor-derived microRNAs induce myeloid suppressor cells and predict immunotherapy resistance in melanoma. J. Clin. Investig. 2018, 128, 5505–5516. [Google Scholar] [CrossRef] [Green Version]
  381. Zhang, P.-F.; Pei, X.; Li, K.-S.; Jin, L.-N.; Wang, F.; Wu, J.; Zhang, X.-M. Circular RNA circFGFR1 promotes progression and anti-PD-1 resistance by sponging miR-381-3p in non-small cell lung cancer cells. Mol. Cancer 2019, 18, 179. [Google Scholar] [CrossRef] [Green Version]
  382. Nakahara, S.; Fukushima, S.; Okada, E.; Morinaga, J.; Kubo, Y.; Tokuzumi, A.; Matsumoto, S.; Tsuruta-Kadohisa, M.; Kimura, T.; Kuriyama, H. MicroRNAs that predict the effectiveness of anti-PD-1 therapies in patients with advanced melanoma. J. Dermatol. Sci. 2020, 97, 77–79. [Google Scholar] [CrossRef]
  383. Mollaei, H.; Safaralizadeh, R.; Rostami, Z. MicroRNA replacement therapy in cancer. J. Cell. Physiol. 2019, 234, 12369–12384. [Google Scholar] [CrossRef]
  384. Huemer, F.; Leisch, M.; Geisberger, R.; Zaborsky, N.; Greil, R. miRNA-based therapeutics in the era of immune-checkpoint inhibitors. Pharmaceuticals 2021, 14, 89. [Google Scholar] [CrossRef]
  385. Beg, M.S.; Brenner, A.J.; Sachdev, J.; Borad, M.; Kang, Y.-K.; Stoudemire, J.; Smith, S.; Bader, A.G.; Kim, S.; Hong, D.S. Phase I study of MRX34, a liposomal miR-34a mimic, administered twice weekly in patients with advanced solid tumors. Investig. New Drugs 2017, 35, 180–188. [Google Scholar] [CrossRef] [Green Version]
  386. van Zandwijk, N.; Pavlakis, N.; Kao, S.C.; Linton, A.; Boyer, M.J.; Clarke, S.; Huynh, Y.; Chrzanowska, A.; Fulham, M.J.; Bailey, D.L. Safety and activity of microRNA-loaded minicells in patients with recurrent malignant pleural mesothelioma: A first-in-man, phase 1, open-label, dose-escalation study. Lancet Oncol. 2017, 18, 1386–1396. [Google Scholar] [CrossRef] [PubMed]
  387. Seto, A.G.; Beatty, X.; Lynch, J.M.; Hermreck, M.; Tetzlaff, M.; Duvic, M.; Jackson, A.L. Cobomarsen, an oligonucleotide inhibitor of miR-155, co-ordinately regulates multiple survival pathways to reduce cellular proliferation and survival in cutaneous T-cell lymphoma. Br. J. Haematol. 2018, 183, 428–444. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  388. Anastasiadou, E.; Seto, A.G.; Beatty, X.; Hermreck, M.; Gilles, M.-E.; Stroopinsky, D.; Pinter-Brown, L.C.; Pestano, L.; Marchese, C.; Avigan, D. Cobomarsen, an Oligonucleotide Inhibitor of miR-155, Slows DLBCL Tumor Cell Growth In Vitro and In VivoCobomarsen, a miRNA-based Compound for DLBCL Treatment. Clin. Cancer Res. 2021, 27, 1139–1149. [Google Scholar] [CrossRef] [PubMed]
  389. Beck, J.D.; Reidenbach, D.; Salomon, N.; Sahin, U.; Türeci, Ö.; Vormehr, M.; Kranz, L.M. mRNA therapeutics in cancer immunotherapy. Mol. Cancer 2021, 20, 69. [Google Scholar] [CrossRef] [PubMed]
  390. Reichmuth, A.M.; Oberli, M.A.; Jaklenec, A.; Langer, R.; Blankschtein, D. mRNA vaccine delivery using lipid nanoparticles. Ther. Deliv. 2016, 7, 319–334. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  391. Weng, Y.; Li, C.; Yang, T.; Hu, B.; Zhang, M.; Guo, S.; Xiao, H.; Liang, X.-J.; Huang, Y. The challenge and prospect of mRNA therapeutics landscape. Biotechnol. Adv. 2020, 40, 107534. [Google Scholar] [CrossRef]
  392. Sahin, U.; Oehm, P.; Derhovanessian, E.; Jabulowsky, R.A.; Vormehr, M.; Gold, M.; Maurus, D.; Schwarck-Kokarakis, D.; Kuhn, A.N.; Omokoko, T. An RNA vaccine drives immunity in checkpoint-inhibitor-treated melanoma. Nature 2020, 585, 107–112. [Google Scholar] [CrossRef]
  393. Deng, Z.; Tian, Y.; Song, J.; An, G.; Yang, P. mRNA vaccines: The dawn of a new era of cancer immunotherapy. Front. Immunol. 2022, 13, 887125. [Google Scholar] [CrossRef] [PubMed]
  394. Howard, T.P.; Vazquez, F.; Tsherniak, A.; Hong, A.L.; Rinne, M.; Aguirre, A.J.; Boehm, J.S.; Hahn, W.C. Functional genomic characterization of cancer genomes. Cold Spring Harb. Symp. Quant. Biol. 2016, 81, 237–246. [Google Scholar] [CrossRef] [Green Version]
  395. Cowley, G.S.; Weir, B.A.; Vazquez, F.; Tamayo, P.; Scott, J.A.; Rusin, S.; East-Seletsky, A.; Ali, L.D.; Gerath, W.F.; Pantel, S.E. Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies. Sci. Data 2014, 1, 140035. [Google Scholar] [CrossRef] [Green Version]
  396. Manguso, R.T.; Pope, H.W.; Zimmer, M.D.; Brown, F.D.; Yates, K.B.; Miller, B.C.; Collins, N.B.; Bi, K.; LaFleur, M.W.; Juneja, V.R. In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target. Nature 2017, 547, 413–418. [Google Scholar] [CrossRef] [PubMed]
  397. Shalem, O.; Sanjana, N.E.; Hartenian, E.; Shi, X.; Scott, D.A.; Mikkelsen, T.S.; Heckl, D.; Ebert, B.L.; Root, D.E.; Doench, J.G. Genome-scale CRISPR-Cas9 knockout screening in human cells. Science 2014, 343, 84–87. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  398. Eyquem, J.; Mansilla-Soto, J.; Giavridis, T.; van der Stegen, S.J.; Hamieh, M.; Cunanan, K.M.; Odak, A.; Gönen, M.; Sadelain, M. Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejection. Nature 2017, 543, 113–117. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  399. Stadtmauer, E.A.; Fraietta, J.A.; Davis, M.M.; Cohen, A.D.; Weber, K.L.; Lancaster, E.; Mangan, P.A.; Kulikovskaya, I.; Gupta, M.; Chen, F. CRISPR-engineered T cells in patients with refractory cancer. Science 2020, 367, eaba7365. [Google Scholar] [CrossRef] [PubMed]
  400. Paulson, K.G.; Park, S.Y.; Vandeven, N.A.; Lachance, K.; Thomas, H.; Chapuis, A.G.; Harms, K.L.; Thompson, J.A.; Bhatia, S.; Stang, A. Merkel cell carcinoma: Current US incidence and projected increases based on changing demographics. J. Am. Acad. Dermatol. 2018, 78, 457–463.e452. [Google Scholar] [CrossRef] [PubMed]
  401. Zhang, X.; Sabio, E.; Krishna, C.; Ma, X.; Wang, J.; Jiang, H.; Havel, J.J.; Chan, T.A. Qa-1(b) Modulates Resistance to Anti-PD-1 Immune Checkpoint Blockade in Tumors with Defects in Antigen Processing. Mol. Cancer Res. 2021, 19, 1076–1084. [Google Scholar] [CrossRef]
  402. Khalaf, K.; Janowicz, K.; Dyszkiewicz-Konwińska, M.; Hutchings, G.; Dompe, C.; Moncrieff, L.; Jankowski, M.; Machnik, M.; Oleksiewicz, U.; Kocherova, I. CRISPR/Cas9 in cancer immunotherapy: Animal models and human clinical trials. Genes 2020, 11, 921. [Google Scholar] [CrossRef]
  403. Xia, A.-L.; He, Q.-F.; Wang, J.-C.; Zhu, J.; Sha, Y.-Q.; Sun, B.; Lu, X.-J. Applications and advances of CRISPR-Cas9 in cancer immunotherapy. J. Med. Genet. 2019, 56, 4–9. [Google Scholar] [CrossRef]
Figure 1. Key immune checkpoint targets for cancer immunotherapy mentioned in this review. Immune checkpoint inhibitors (ICIs) and their respective ligands are reported in the context of the tumor immune microenvironment (TME). Various immune checkpoint target-mediated interactions between immune cells such as dendritic cells (DC) (serving as APCs), T cells, NK cells, and tumor cells are shown here. Mechanisms of action of all the checkpoint proteins mentioned here have been elaborated in their respective sections in this review. ICIs targeting these immune checkpoints are currently used in clinic or under pre-clinical or clinical investigation. The “?” indicates interactions which are unknown/uncertain. This figure has been created with BioRender.com, access date 22 January 2023.
Figure 1. Key immune checkpoint targets for cancer immunotherapy mentioned in this review. Immune checkpoint inhibitors (ICIs) and their respective ligands are reported in the context of the tumor immune microenvironment (TME). Various immune checkpoint target-mediated interactions between immune cells such as dendritic cells (DC) (serving as APCs), T cells, NK cells, and tumor cells are shown here. Mechanisms of action of all the checkpoint proteins mentioned here have been elaborated in their respective sections in this review. ICIs targeting these immune checkpoints are currently used in clinic or under pre-clinical or clinical investigation. The “?” indicates interactions which are unknown/uncertain. This figure has been created with BioRender.com, access date 22 January 2023.
Biology 12 00218 g001
Table 1. Important clinical trials pertaining to the immune checkpoint targets mentioned in this review.
Table 1. Important clinical trials pertaining to the immune checkpoint targets mentioned in this review.
Molecule/TargetDrugMechanismCancer TypeTrial Name/PhaseEstimated/Actual Completion Date
PD-1Retifanlimab + INCAGN02385 +
INCAGN02390
Anti-PD-1 + Anti-LAG-3 + Anti-TIM-3Head and Neck Cancer
(NCT05287113)/Phase 215 September 2024
PembrolizumabAnti-PD-1Refractory melanomas, Non small cell lung carcinoma (NSCLC), Urothelial Carcinoma, Metastatic Head and Neck squamous cell carcinoma (HNSCC) etc.KEYNOTE Trials:
(NCT01295827)
Phase 3
11 December 2018
NivolumabAnti-PD-1Metastatic Melanoma
NSCLC, Urothelial carcinoma, Colorectal carcinoma
Checkmate studies (NCT02388906)
(NCT01668784)
Phase2/Phase3
30 January 2026
19 July 2021
Cemiplimab
Anti-PD-1Metastatic pancreatic cancer(NCT04177810)1 August 2023
Malignant glioma
(NCT03690869)20 November 2024
Hepatocellular carcinoma(NCT03916627)3 September 2029
NSCLC
(NCT03580694) 4 December 2019
Renal cancer
(NCT02394083)5 November 2023
Lymphoma
(NCT02651662)
19 August 2026
Multiple myeloma
(NCT03194867)31 March 2023
Prostate cancer
(NCT03951831)December 2022
Ovarian cancer(NCT03564340)December 2022
Cervical cancer(NCT03257267)9 July 2023
Phase 2/Phase3
PD-L1AtezolizumabAnti-PD-L1NSCLCNCT02008227/Phase3
9 January 2019
AvelumabAnti-PD-L1/PD-1Renal cell carcinomaNCT02684006/
Phase 3
21 May 2024
DurvalumabAnti-PD-L1
Urothelial carcinoma
NSCLC
NCT01693562
NCT02125461
28 February 2020
30 December 2022
CTLA-4Anti-CTLA-4 Monoclonal Antibody BMS-986218 + NivolumabAnti-CTLA-4 + Anti-PD-1Advanced Lung Carcinoma,
Advanced Malignant Solid Neoplasm,
Malignant Adrenal Gland Neoplasm,
Metastatic Liver Carcinoma,
Metastatic Lung Carcinoma,
Metastatic Malignant Solid Neoplasm
NCT04785287/Phase 1, Phase 227 May 2024
HLA-ETTX-080Anti-HLA-ERefractory solid malignancies such as HNSCC, NSCLC, Colorectal cancer and triple negative breast cancerNCT04485013/Phase 11 June 2024
NKG2AMonalizumab + Cetuximab + Anti-PD(L)-1Anti-NKG2A + Anti-EGFR
Head and Neck Neoplasms
NCT02643550/Phase 1, Phase 2September 2022
Durvalumab + Monalizumab
Anti-PD-L1+ Anti-NKG2AStage III Non-small Cell Lung Cancer UnresectableNCT03822351/Phase 221 June 2023
NKG2DCM-CS1/CYAD-01CAR T cell Acute Myeloid Leukemia, Multiple Myeloma, Myelodysplastic SyndromesNCT02203825/
Phase 1
March 2018
A2AR & A2BRAZD4635 + Oleclumab + DurvalumabAnti-A2aR & A2bR + Anti-CD73+ Anti-PD-L1Prostate Cancer Metastatic Castration-Resistant Prostate Cancer (mCRPC)NCT04089553/Phase 231 December 2023
Etrumadenant + zimberelimab+ mFOLFOX-6 + bevacizumab + regorafenib
+ AB680
Anti-A2aR and A2bR+ Anti-PD-1 + Anti-CD73Metastatic Colorectal CancerNCT04660812/Phase 1, Phase 218 December 2023
SIRPα/CD47

CC-90002Anti-CD47Acute myeloid leukemiaNCT02641002/Phase118 July 2018
HX009Anti-CD47/PD-1 bifunctional antibody
Unresectable locally advanced/ metastatic solid tumorsNCT04886271/Phase 2
10 February 2023
TTI-621

Anti-SIRPa

R/R Hematologic malignancies and selected solid tumors (PTCL, CTCL)NCT02663518/Phase 1

31 December 2022
BI-765063/OSE172Anti-SIRPaAdvanced solid tumors (NSCLC, TNBC, pancreatic cancer, melanoma, HNSCC, RCC, UC, SCL, gastric cancer, CRC and OC)NCT03990233/Phase 131 December 2022
TIM-3TSR022Anti-TIM-3High Grade serous ovarian cancerNCT04139902/Phase 1October 2027
LAG-3IERAMILImAB (LAG525)Anti-LAG-3Advanced/Metastatic solid tumorsNCT02460224/Phase 1
31 December 2020
RelatlimabAnti-LAG-3Previously untreated metastatic/uresectable melanomaNCT03470922/Phase 1/2
16 December 2025
REGN3767/Fianlimab + CemiplimabAnti-LAG-3 + Anti-PD-1/PD-L1Previously Untreated Unresectable Locally Advanced or Metastatic MelanomaNCT05352672/Phase 320 April 2031
B7-H3Enoblituzumabn (MGA271)Anti-B7-H3Prostate CancerNCT02923180/Phase 230 July 2023
MGD009/OrlotamabAnti-B7-H3Mesothelioma, Bladder Cancer, Melanoma,Squamous Cell Carcinoma of the Head and Neck,NSCLCr,Clear Cell Renal Cell Carcinoma Ovarian Cancer,Thyroid Cancer, Breast Cancer,Pancreatic Cancer,Prostate Cancer, Colon Cancer, Soft Tissue SarcomaNCT04145622/Phase 1
1 December 2023
MGC018 +/− MGA012Anti-B7-H3 +/− Anti-PD-1Squamous Cell Carcinoma of Head &Neck, Triple Negative Breast Cancer, Melanoma, Advanced Solid Tumor, Adult Metastatic Castrate Resistant Prostate Cancer, NSCLCNCT03729596/Phase 1, 2May 2023
PARPsOlaparib (AZD2281)PARP inhibitorPatients with ovarian cancer that recurred within 12 months of prior platinum therapy and with confirmed germline BRCA1/BRCA2 mutationNCT00753545/Phase 229 December 2023
RucaparibPARP inhibitorAdvanced gynecologic cancer and triple negative breast cancerNCT03101280/Phase 111 August 2020
TIGITCOM701 in combination with BMS-986207 and nivolumab.
Anti-TIGIT AntibodyEndometrial Neoplasms,Ovarian Cancer,Solid Tumor,Head and Neck CancerNCT04570839/Phase1 Phase 2December 2023
Ociperlimab (BGB-A1217) + TislelizumabAnti-TIGIT AntibodyLocally Advanced and Metastatic Solid TumorsNCT04047862/Phase 1October 2024
Tiragolumab + AtezolizumabAnti-TIGIT AntibodyNon-small Cell Lung CancerNCT03563716/Phase 230 September 2023
VISTAJNJ-61610588Anti-VISTAAdvanced CancerNCT02671955/Phase 1July 2017
CA-170Oral PD-L1, PD-L2 and VISTA Checkpoint AntagonistAdvanced Solid Tumors or LymphomasNCT02812875/Phase 17 May 2020
CI-8993Anti-VISTASolid TumorNCT04475523/Phase 11 July 2023
microRNACobomarsenImmunotherapeutic MicroRNACutaneous T-cell Lymphoma
Mycosis Fungoides
Chronic Lymphocytic Leukemia
Diffuse Large B-Cell Lymphoma, ABC Subtype
Adult T-Cell Leukemia/Lymphoma
NCT02580552/Phase 16 October 2020
TargomiRsmiR-16 MimicMalignant Pleural Mesothelioma
Non-Small Cell Lung Cancer
NCT02369198/Phase 14 January 2017
mRNALipo-MERITRNA-lipoplex Cancer VaccineMelanomaNCT02410733/Phase 1May 2023
mRNA-4157 + PembrolizumabPersonalized cancer vaccineSolid TumorsNCT03313778/Phase 130 June 2025
CRISPR/CAS9Tumor-Infiltrating Lymphocytes (TIL)Tumor Infiltrating Lymphocytes in Which the Gene Encoding the Intracellular Immune Checkpoint CISH Is InhibitedGastrointestinal Epithelial Cancer,
Gastrointestinal Neoplasms,
Gastrointestinal Cancer,
Colo-rectal Cancer,
Pancreatic Cancer,
Gall Bladder Cancer,
Colon Cancer,
Esophageal Cancer,
Stomach Cancer
NCT04426669/Phase 1January 2023
CTX110CD19-directed chimeric antigen receptor (CAR) T cell immunotherapyB-cell Malignancy,
Non-Hodgkin Lymphoma,
B-cell Lymphoma,
Adult B Cell ALL
NCT04035434/Phase 1August 2026
Clinical trials as of 22 January 2023 listed on https://clinicaltrials.gov/. The name (when available) and the ClinicalTrials.gov identifier (NCT number) are reported as on the website.
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Dutta, S.; Ganguly, A.; Chatterjee, K.; Spada, S.; Mukherjee, S. Targets of Immune Escape Mechanisms in Cancer: Basis for Development and Evolution of Cancer Immune Checkpoint Inhibitors. Biology 2023, 12, 218. https://doi.org/10.3390/biology12020218

AMA Style

Dutta S, Ganguly A, Chatterjee K, Spada S, Mukherjee S. Targets of Immune Escape Mechanisms in Cancer: Basis for Development and Evolution of Cancer Immune Checkpoint Inhibitors. Biology. 2023; 12(2):218. https://doi.org/10.3390/biology12020218

Chicago/Turabian Style

Dutta, Shovan, Anirban Ganguly, Kaushiki Chatterjee, Sheila Spada, and Sumit Mukherjee. 2023. "Targets of Immune Escape Mechanisms in Cancer: Basis for Development and Evolution of Cancer Immune Checkpoint Inhibitors" Biology 12, no. 2: 218. https://doi.org/10.3390/biology12020218

APA Style

Dutta, S., Ganguly, A., Chatterjee, K., Spada, S., & Mukherjee, S. (2023). Targets of Immune Escape Mechanisms in Cancer: Basis for Development and Evolution of Cancer Immune Checkpoint Inhibitors. Biology, 12(2), 218. https://doi.org/10.3390/biology12020218

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