Next Article in Journal
Arsenic Inhibits Proliferation and Induces Autophagy of Tumor Cells in Pleural Effusion of Patients with Non-Small Cell Lung Cancer Expressing EGFR with or without Mutations via PI3K/AKT/mTOR Pathway
Previous Article in Journal
MicroRNAs Differentially Expressed in Actinic Keratosis and Healthy Skin Scrapings
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Biomedicines
Volume 11
Issue 6
10.3390/biomedicines11061720
biomedicines-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Efficacy of Immune Checkpoint Blockade and Biomarkers of Response in Lymphoma: A Narrative Review

by
Sarah Perdikis-Prati
1,
Semira Sheikh
2,
Antonin Bouroumeau
3 and
Noémie Lang
1,4,*
1
Department of Oncology, Geneva University Hospital, 1205 Geneva, Switzerland
2
Department of Hematology, Universitätsspital Basel, 4031 Basel, Switzerland
3
Division of Clinical Pathology, Diagnostic Department, Geneva University Hospital, 1206 Geneva, Switzerland
4
Center of Translational Research in Oncohematology, Faculty of Medicine, University of Geneva, 1206 Geneva, Switzerland
*
Author to whom correspondence should be addressed.
Biomedicines 2023, 11(6), 1720; https://doi.org/10.3390/biomedicines11061720
Submission received: 16 May 2023 / Revised: 7 June 2023 / Accepted: 12 June 2023 / Published: 15 June 2023
(This article belongs to the Section Immunology and Immunotherapy)
Browse Figure
Review Reports Versions Notes

Abstract

:
Immune checkpoint blockade (ICB) has revolutionized the prognosis of several advanced-stage solid tumors. However, its success has been far more limited in hematological malignancies and is mostly restricted to classical Hodgkin lymphoma (cHL) and primary mediastinal B cell lymphoma (PMBCL). In patients with non-Hodgkin lymphoma (NHL), response to PD-1/PD-L1 ICB monotherapy has been relatively limited, although some subtypes are more sensitive than others. Numerous predictive biomarkers have been investigated in solid malignancies, such as PD-L1 expression, tumor mutational burden (TMB) and microsatellite instability (MSI), among others. This review aims to appraise the current knowledge on PD-1/PD-L1 ICB efficacy in lymphoma when used either as monotherapy or combined with other agents, and describes potential biomarkers of response in this specific setting.

Graphical Abstract

1. Introduction

The tumor microenvironment (TME), consisting of T cells, tumor-associated macrophages (TAMs), dendritic cells (DCs), neutrophils and natural killer (NK) and stromal cells, is thought to play a significant role in the development and progression of many cancers, as well as in tumor escape from the immune system. Accumulation of somatic mutations during oncogenesis has been shown to result in the presentation of neoantigens at the tumor cell surface, which can elicit tumor-specific CD4+ and CD8+ T cells with antitumor potential [1]. Many studies have demonstrated that tumor evasion is, at least in part, mediated by the inhibition of antitumor T-cell responses, mostly via upregulation of immune checkpoint molecules [2,3,4]. The understanding of these resistance mechanisms led to the delineation of the concept of immune checkpoint blockade (ICB).
More precisely, interaction between the immune checkpoint (IC) molecule programmed cell death protein 1 (PD-1) expressed by activated tumor-infiltrating T cells and its ligands (PD-L1 and PD-L2) expressed by the surrounding tumor and TME cells commonly leads to downregulation of neoantigen-specific T-cell responses. Blocking these interactions is a frequently used therapeutic approach to restore the antitumor effect of the host immune system [5,6].
In lymphoproliferative disorders, PD-1 is frequently expressed on tumor cells themselves as in tumor-infiltrating lymphocytes (TILs), while its ligands may be upregulated by tumor cells (some B-cell or T-cell lymphomas) but also TME cells such as TAMs, mast cells and mesenchymal cells [7,8,9]. PD-1 blockade using nivolumab or pembrolizumab has dramatically improved the prognosis of relapsed/refractory (R/R) classical Hodgkin lymphoma (cHL) and is now a well-recognized therapeutic option in this setting [10,11,12]. On the other hand, the efficacy of PD-1 or PD-L1 blockades in non-Hodgkin lymphoma (NHL) has shown disappointingly low response rates, except for some specific subsets of NHL, such as primary mediastinal B cell lymphoma (PMBCL) [13], primary testicular lymphoma (PTL) or primary central nervous system lymphoma (PCNSL) [14,15]. Interestingly, these NHL subsets have been shown to be highly infiltrated by T cells [16,17]. Of note, the different anti-PD-1/PD-L1 antibodies used in the clinic vary in their IgG isotypes and affinity to the various Fc gamma receptors (FcγRs) expressed on immune cells (Table 1); however, whether these changes translate into different clinical benefits is not well established [18]. A persistent challenge remains the identification of predictive biomarkers of response to PD-1/PD-L1 ICB in this setting.
Here, we present a review of the clinical efficacy of PD-1/PD-L1 ICB as monotherapy and in combination with other agents for different lymphoma subtypes.

2. Clinical Efficacy of ICB in Lymphomas

2.1. Classical Hodgkin Lymphoma (cHL)

2.1.1. PD-1/PD-L1 ICB as Monotherapy

The safety and activity of PD-1 ICB was first tested by Ansell et al. (2015) in a phase 1 study on 23 heavily pretreated cHL patients who received biweekly nivolumab, a PD-1 inhibitor, demonstrating an impressive 87% overall response rate (ORR) and a 17% complete metabolic response rate (CMR) [11,29]. Larger studies subsequently confirmed the efficacy of PD-1 ICB monotherapy in R/R cHL using either nivolumab or pembrolizumab (Table 2) [21,30,31,32]. All trials showed similar results in R/R cHL patients, including those relapsing after autologous stem cell transplantation (ASCT) and those ineligible for ASCT (Table 2). At a 5-year follow-up, both CheckMate 205 and KEYNOTE-087 trials demonstrated sustained responses, with median PFSs of 15 months and 13.7 months, respectively. Additionally, a subgroup analysis of the KEYNOTE-087 trial demonstrated the efficacy of pembrolizumab after treatment with the anti-CD30 antibody drug conjugate brentuximab vedotin (BV) (Table 2) [33]. Based on these results, the FDA approved nivolumab (2016) and pembrolizumab (2017) for R/R cHL patients relapsing after ASCT and BV [34]. More recently, the phase 3 KEYNOTE-204 study (2021) compared pembrolizumab and BV in patients with R/R cHL either following ASCT or in patients ineligible for ASCT and showed an increased median progression-free survival (PFS) for pembrolizumab over BV (Table 2) [35].
In addition to nivolumab and pembrolizumab, several other PD-1 inhibitors have been investigated in R/R cHL early-phase trials. PD-1/PD-L1 antibodies vary in their IgG isotypes (Table 1). PD-1 IgG4 antibodies include nivolumab, pembrolizumab, sintilimab, camrelizumab, tislelizumab and zimberelimab, with ORRs ranging from 42% to 91% [24,25,26,27,40,41,42,43,44], while penpulimab, an IgG1 antibody, demonstrated an ORR of 89% with a 47% CR in a multicenter phase 1/2 trial [28]. To our knowledge, avelumab, an IgG1 anti-PD-L1 antibody, is the only anti-PD-L1 antibody that has been tested in this setting, achieving a 42% ORR and a 19% CR [39] (Table 2).

2.1.2. PD-1/PD-L1 ICB in Combination with Chemotherapy

Frontline Setting

Assuming that PD-1/PD-L1 ICB may prime the TME for the induction of antitumor T-cell responses before patients receive cytotoxic agents, both sequential and concomitant combinations of ICB with conventional chemotherapy have been evaluated in the frontline setting. Ramchandren et al. (2019) evaluated a sequential approach of four cycles of single-agent nivolumab followed by twelve cycles of nivolumab given concomitantly with doxorubicin, vinblastine and dacarbazine (N-AVD) in patients with newly diagnosed advanced-stage cHL (cohort D of CheckMate 205) (Table 3) [61]. N-AVD has also been investigated in early-stage unfavorable cHL in a phase 2 trial conducted by the German Hodgkin Study Group (2020), achieving similar response rates (Table 3) [62]. N-AVD regimen is currently being evaluated in a frontline randomized phase 3 study against BV-AVD in patients with advanced-stage cHL, with an estimated completion date in 2024 (NCT03907488). Similarly, a sequential strategy of pembrolizumab monotherapy followed by combination with AVD has been evaluated in unfavorable or advanced-stage cHL patients (Table 3) [63]. Another ongoing nonrandomized PET-adapted phase 2 study (NCT03617666) is investigating the safety and efficacy of sequential avelumab followed by ABVD in first-line high-risk cHL [64]. As approximatively twenty percent of newly diagnosed cHL patients are ineligible for intensive chemotherapy regimens and consequently at risk of experiencing worse outcomes [65,66], Cheson and colleagues (2020) investigated the combination of 8 cycles of BV with nivolumab for older (>60 years) or chemo-ineligible newly diagnosed cHL patients. The trial was prematurely closed after an interim analysis failed to show that the combination met the predefined ORR criteria (ORR > 68%); however, 61% of all evaluable patients displayed an objective response and 48% achieved CMRs, demonstrating that this well-tolerated combination is active in this frail population (Table 3) [67].

Relapsed/Refractory Setting

Herrera and colleagues (2018) evaluated a nivolumab and BV combination for up to four cycles in the first-salvage-setting phase 1/2 study; this regimen was demonstrated to be well tolerated, achieving an ORR of 82%, including a 61% CMR [75]. An extended 3-year follow-up confirmed the durability of responses, with an estimated 77% 3-year PFS after a median follow-up of 34.3 months [76]. A phase 3 trial further investigating this regimen versus BV alone in R/R or ASCT-ineligible cHL patients was closed due to insufficient enrolment (NCT03138499). Three other trials demonstrated the efficacy of PD-1 ICB combined with standard salvage chemotherapy (ICE or gemcitabine, vinorelbine and liposomal doxorubicin (GVD) prior to ASCT) (Table 3) [68,69,70,77]. Atezolizumab, a PD-L1 inhibitor, scarcely tested as monotherapy in lymphoma ([59], NCT03120676), is currently being investigated in combination with a BeGEV regimen (bendamustine, gemcitabine and vinorelbine) (NCT05300282) (Table 3).
Patients with R/R HL who undergo ASCT have an expected 60% 18-month PFS [112,113,114]. Lepik et al. evaluated the utility of nivolumab and bendamustine administered for up to three cycles in heavily pretreated R/R cHL patients who had failed at least two lines of prior therapy, including nivolumab monotherapy. Among all enrolled patients (n = 30), 26 achieved a response (ORR: 87%) and 17 a CMR (57%) (Table 2) [74]. To our knowledge, only one trial phase 2 (Armand et al.) investigated the role of PD-1/PD-L1 ICB (pembrolizumab) as a consolidative therapy in the post-ASCT setting, achieving PFS and OS rates at 18 months of 82% and 100%, respectively (Table 2) [45].

2.1.3. PD-1/PD-L1 ICB Combined with Other Agents

The combination of nivolumab with other ICBs, such as ipilumumab, an anticytotoxic T-lymphocyte-associated protein 4 (CTLA4) inhibitor, or lirilumab, an antibody targeting the killer cell Ig-like receptors (KIR) expressed by NK cells, did not seem to significantly improve the response rate in 31 R/R cHL patients enrolled in phase 1 of the CheckMate 039 trial (2016, 2021) (Table 3) [19,81]. The safety and efficacy of a triple combination of nivolumab, ipilimumab and BV was tested in a phase 1/2 trial conducted by Diefenbach et al. (2020) on patients with R/R cHL in comparison with nivolumab-BV or ipilimumab-BV. The triple regimen was associated with increased toxicity without clinical benefit (Table 3) [71]. Potentially more promising are PD-1/PD-L1 ICB and histone deacetylase inhibitor (HDACi) combinations. The combination of pembrolizumab with entinostat was investigated in 22 R/R cHL patients by Sermer et al. (2020, 2021) in a phase 2 trial with an ORR of 86% (Table 3) [72,73]. Similarly, a phase 2 trial with camrelizumab, another PD-1 inhibitor, combined with decitabine, demonstrated improved response rates (ORR 95%, CMR 79%) compared with camrelizumab monotherapy (ORR 89%, CMR 32%) (Table 3) [42,43].
Various combinations of PD-1/PD-L1 ICB with novel immunotherapies are currently under investigation in early-phase trials. A first report of pembrolizumab combined with AFM-13, a CD30-CD16 bispecific antibody stimulating innate immune cells, such as NK and macrophages, achieved an ORR of 83% in R/R cHL patients who had received a median of three prior lines of therapy [78,79]. A recent phase 1 study evaluating the benefit of adoptive cellular therapy consisting of tumor-associated antigen (TAA)-specific T cells enrolled 10 patients with R/R HL (n = 8 active disease, n = 2 adjuvant after ASCT) to receive TAA-specific T cells (autologous or allogenic) with nivolumab given as a priming agent in 6 out of the 10 patients. Among the patients with active disease, one patient achieved CMR and seven had stable disease (SD) at 3 months [78]. In addition, there is growing evidence that chimeric antigen receptor (CAR) T-cell fitness may be improved by the adjunction of PD-1 ICB. With the limitation of a small sample size (n = 12), PD-1 ICB administration after CD30 CAR T-cell therapy in CD30+ lymphoma patients (n = 9 cHL, n = 1 angioimmunoblastic T-cell lymphoma, n = 2 gray zone lymphoma) suggested improved efficacy (ORR 86% versus 100%; CR 27% versus 80%) (Table 3) [111]. Similarly, the role of anti-PD-1 therapy after CD30 CAR T-cell treatment is currently being evaluated in R/R cHL patients (NCT04134325) [115,116]. Recently, Timmerman et al. (2022) demonstrated that the association of favezelimab (lymphocyte activating gene-3 (LAG-3) ICB) and pembrolizumab could be an effective therapeutic option for patients progressing under PD-1 ICB (ORR 31%, CR 7%) [82]. Other combination approaches in the R/R cHL setting are ongoing, such as nivolumab with ruxolitinib (NCT03681561) and nivolumab/pembrolizumab combined with radiation (NCT04419441).

2.2. Non-Hodgkin Lymphoma (NHL)

2.2.1. PD-1/PD-L1 ICB as Monotherapy

Aggressive NHL

First tested on a range of various hematological malignancies, nivolumab achieved an ORR of 36% and a CMR of 18% in the 11 R/R diffuse large B cell lymphoma (DLBCL) patients enrolled in a phase 1 study [53]. Single-agent activity was further evaluated in DLBCL patients who were relapsing after ASCT or ineligible for ASCT [49] and in patients with various hematologic malignancies relapsing after allogeneic stem cell transplantation (allo-SCT) [55], demonstrating modest benefits (Table 2). In contrast to cHL, maintenance treatment with pembrolizumab administered after ASCT in DLBCL and PMBCL patients did not show any clinical benefit [54]. A randomized phase 3 trial investigating tislelizumab, a PD-1 inhibitor, as maintenance in DLBCL after ASCT is planned (NCT04799314). Even though the benefit of PD-1/PD-L1 inhibitors as monotherapy in R/R aggressive NHL has been disappointing, better activity has been observed in patient subsets, such as PMBCL, PCNSL and PTL patients [14,15,53]. Benefits from pembrolizumab were demonstrated in R/R PMBCL with 45–48% ORR and 13–33% CMR, leading to the accelerated approval of pembrolizumab by the FDA in this setting (Table 2) [32,117]. Nivolumab demonstrated activity in four patients with R/R PCNSL and one patient with PTL CNS recurrence; all five patients had clinical and radiographic responses to the monotherapy [15]. The efficacy in these specific aggressive NHL subgroups is likely due to their particular biology. This is described in further detail in the biomarker section. Pembrolizumab has also been tested on nine patients experiencing Richter transformation (RT) (Table 2) [56].
PD-1/PD-L1 ICB demonstrated modest results in natural killer NK/T-cell NHL. In a phase 1 trial, nivolumab monotherapy achieved no observed CR (Table 2) [53]. On the other hand, pembrolizumab showed slightly improved activity in cutaneous T-cell lymphoma (CTCL) [57] and in a series of seven R/R extranodal NK/T-cell lymphoma (ENKTL) patients, with two of them achieving CR [118]. This initial signal of activity in R/R ENKTL was recently confirmed by two phase 2 trials evaluating avelumab, a PD-L1 inhibitor, and sintilimab, a PD-1 inhibitor [51,52] (Table 2).

Indolent B NHL

PD-1/PD-L1 ICB has also been evaluated in indolent lymphomas. Lesokhin et al. (2016) administered single-agent nivolumab to 10 R/R FL patients (ORR 40%) [53], but this result was not confirmed in a larger phase 2 study conducted by Armand et al. (CheckMate-140) (ORR 4%) (Table 2) [48]. To date, other indolent lymphoid malignancies such as chronic lymphocytic leukemia (CLL), marginal cell lymphoma (MZL) and Waldenström macroglobulinemia (WM) have not shown significant response rates with PD-1/PD-L1 ICB (Table 2) [56,105,110].

2.2.2. PD-1/PD-L1 ICB in Combination with Other Agents

Aggressive NHL

  • Frontline setting
PD-1/PD-L1 ICB does not seem to add much benefit to frontline immunochemotherapy in newly diagnosed DLBCL. The combination of atezolizumab with frontline R-CHOP was tested on DLBCL patients [89,90] as a combination of pembrolizumab with R-CHOP in patients with either DLBCL or grade 3b FL (Table 3) [91]. Similarly, a durvalumab (another PD-L1 inhibitor) and R-CHOP combination did not seem to add any benefit (Table 3) [92]. An ongoing phase 3 trial is currently investigating nivolumab combined with DA-EPOCH-R versus DA-EPOCH-R in newly diagnosed patients with PMCBL (NCT04759586).
  • Relapse/refractory setting
Various therapeutic combinations, including PD-1/PD-L1 ICB, have been investigated in the R/R NHL setting, most of them showing disappointing results. Nivolumab with ipilimumab or lirilumab did not show any improved clinical activity (Table 3) [19,81], and nor did combinations of either nivolumab, pembrolizumab or durvalumab with BTKi (ibrutinib [100,108] or acalabrutinib [96]) or dinaciclib, a cycline kinase inhibitor (CDKi) [107] (Table 3). Similarly, durvalumab in combination with ibrutininb, lenalidomide +/− rituximab or bendamustine +/− rituximab only adds a small benefit [60].
PD-1/PD-L1 ICB combined with CD19 CAR T cells achieved variable results in early-phase trials (Table 3) [58,94,95,109]. Dual-targeting CD19/CD22 CAR T-cell therapy associated with pembrolizumab was evaluated in 19 R/R B-cell NHL patients, with an ORR of 65% with a 55% CMR (Table 3) [97].
Other combined regimens of PD-1/PD-L1 ICB with either other ICBs, targeted agents (tazemetostat [93], venetoclax [104]), novel anti-CD 20 and anti-CD27 antibodies (obinutuzumab [101], varlimumab (NCT03038672)) or CD20/CD3 bispecific antibodies (glofitamab [106], monetuzumab) (NCT02500407)) are under investigation in this setting (Table 3).
In R/R PMBCL patients, the phase 2 CheckMate 436 trial (2019, 2021) evaluated nivolumab with BV (n = 30), reporting an ORR of 73% and a 37% CMR. Responses were durable at extended follow-up with a 2-year PFS of 56% (Table 3) [98,99]. A phase 1 study testing the addition of nivolumab and lenalidomide to immunochemotherapy in PCNSL is now recruiting (NCT04609046). In advanced ENKTL, a combined sintilimab, pegasparaginase, gemcitabine and oxaliplatin regimen has demonstrated an acceptable toxicity profile and promising efficacy in a phase 1 study [119]; a phase 2 trial is currently ongoing (NCT04127227).
With the exceptions of specific NHL subtypes and potentially CAR T-cell association, PD-1/PD-L1 ICBs generally do not add much clinical benefit when combined with other active agents in the R/R NHL setting.

Indolent B NHL

  • Frontline setting
The combination of PD-1/PD-L1 ICB with anti-CD20 monoclonal antibodies +/− bendamustin has been tested on advanced-grade 1-3A FL [46,47]; the addition of chemotherapy resulted in an inacceptable toxicity profile, with fatal adverse events occurring in five patients (pneumonia, sudden death, cardiac arrest (due to severe immune-mediated myocarditis and bronchiolitis obliterans), gastrointestinal tract/biliary adenocarcinoma, progressive multifocal leukoencephalopathy) [83,84] (Table 3).
  • Relapse/refractory setting
The addition of PD-1/PD-L1 ICB to anti-CD 20 monoclonal antibodies has been extensively tested in the R/R setting of indolent lymphomas, with no or only modest results (Table 3) [85,86,87,101]. Atezolizumab with obinutuzumab and lenalidomide resulted in a 78% ORR and a 72% CR rate [88]. The LYSA group investigated atezolizumab, obinutuzumab and venetoclax in R/R FL and MZL with reported ORRs of 54% and 67%, respectively [105]. Durvalumab or nivolumab in combination with ibrutinib resulted in modest response rates in R/R FL patients in two trials (Table 3) [102,103,108].

3. Predictive Biomarkers of Response to ICB in Lymphoma

Predictive biomarkers of response to ICBs have been identified in different solid tumors, but our ability to accurately predict response in lymphoma remains suboptimal. Mechanisms of immune evasion may differ from one lymphoma subtype to another. Several biomarkers have been investigated in lymphoid malignancies, including the PD-L1 H-score, alterations/amplification of the 9p24.1 gene, microsatellite instability (MSI), tumor mutational burden (TMB), the density of intratumoral CD8+ T lymphocyte infiltrates, genetic alterations in MHC classes I and II, and miRNA-21, among others [120].

3.1. Tissue Expression and Plasma Levels of PD-Ls

PD-L1 and PD-L2 expression of TME can be influenced by two main signaling pathways. The extrinsic pathway relies on the release of inflammatory signals (i.e., IFN-γ) by TILs after tumor antigen recognition, consequently upregulating the expression of PD-L1/PD-L2 in tumor cells and TME cells [121]. On the other hand, the intrinsic pathway is mainly driven by genomic alteration of the 9p24.1 gene, EBV infection and the activation of the JAK/STAT transcription pathway; this is reviewed below [13,122].

3.1.1. PD-L1 Expression

Different scoring systems are used to determine PD-L1 expression (measured using immunohistochemistry; IHC) in tumors; however, its discriminative value is likely imperfect as patients with PD-L1-negative tumors may achieve durable responses [123]. Additionally, the PD-L1-positive cut-off threshold remains highly variable depending on tumor type, with different scoring systems used to determine PD-L1 expression in tumors [124]. The main scores are the combined positive score (CPS) [125], the tumor proportion score (TPS) [126] and the H-score [120]; the latter is the most-used scoring system for lymphoma [120].
Even though some studies revealed that TME PD-L1 expression correlates with poor prognosis in HL and NHL [127], this does not seem to be true for all lymphoma subtypes (i.e., NK/T lymphoma) [128]. Similarly, PD-L1 expression is not a reliable biomarker of response to PD-1/PD-L1 ICB for all lymphomas. For reasons explained below (refer to section), PD-L1 expression correlates to the response to anti-PD-1 therapy in cHL and some non-GCB DLBCL subtypes, but has no predictive value for other subtypes [128,129]. Similarly, soluble PD-L1 (sPD-L1), corresponding to plasma levels of PD-L1, has been investigated as a potential biomarker, with mixed results [130,131,132].

3.1.2. PD-L2 Expression

The prognostic significance of PD-L2 expression in malignant tumors remains controversial [133,134]. Gu and colleagues demonstrated that PD-L2 expression on DLBCL cells was significantly associated with prolonged OS and PFS. Higher ORRs to R-CHOP/CHOP were also reported in patients with enhanced expression of PD-L2 in malignant and immune cells [135]. Similarly, Tobin et al. demonstrated that PD-L2 is mostly present in the TME of FL and that a low PD-L2 expression was associated with worse outcomes [136].

3.2. Gene Alterations to 9p24.1

Copy number alterations (CNAs) to chromosome 9p24.1 (i.e., polysomy, copy gain, amplification, rarely translocation), leading to increased expression of PD-1 ligands in cHL, PMBCL and some extranodal large B-cell NHLs, are an important mechanism of tumor immune evasion. These alterations have been reported in the majority of cHLs (97%) [135], 63–75% of PMBCLs [137,138], over 40% of PTLs and roughly 20% of PCNSLs [139]. Unlike cHL, there is generally a low incidence (10–27%) of structural variations in PD-L1/PD-L2 in DLBCL [140,141]. The H-score could be used as a surrogate marker of the level of 9p24.1 gene alteration and predict the response to ICB [142]. cHL patients presenting 9p24.1 CNAs are more likely to present with advanced-stage disease and worse prognosis, with significantly shorter PFS [61]. On the other hand, they also tend to benefit from therapy with a PD-1 inhibitor [61,135,143]. However, Green et al. (2010) described that Hodgkin Reed–Sternberg cell lines harboring low levels of 9p24.1 CNAs still expressed PD-L1, suggesting that PD-L1 expression could be driven by other mechanisms [135]. Although the vast majority of NHLs have a considerably low sensitivity to PD-1/PD-L1 ICB, particular subtypes, such as PCNSL, PTL and PMBCL harbor 9p24.1 CNAs, conferring them an increased vulnerability to these agents [15,139]. In PMBCL, the magnitude of 9p24.1 CNAs is significantly associated with PD-L1 expression and survival outcome [14].

3.3. Epstein–Barr Virus (EBV) and JAK/STAT Signaling Pathway

In cHL and PMBCL cell lines, Green et al. (2010) observed that broader 9p24.1 amplifications also included the Janus kinase 2 (JAK2) locus located upstream from PD-1 ligand genes [135]. As a consequence, 9p24.1 CNAs directly enhanced the JAK/STAT intrinsic signaling pathway, promoting PD-1 ligand transcription [135]. Additionally, the JAK/STAT signaling pathway can also be activated by various cytokines secreted by cells within the TME (i.e., IFN-γ), leading to PD-L1 upregulation on tumor cells [144].
Even though the underlying mechanisms have not yet been fully elucidated, recent studies indicate that viruses also use the PD-1 signaling pathway to escape immune detection [145]. Thus, EBV-positive lymphomas tend to benefit from ICB therapy [146,147]. The expression of EBV latent membrane protein 1 (LMP1) or latent membrane protein 2a (LMP2a) was shown to be sufficient to activate the signaling cascade of the JAK/STAT pathway, leading to PD-L1 overexpression on tumor cells [145]. The expression of EBV has been implicated in approximately 40% of cHLs, 50–70% of post-transplant lymphoproliferative disorders (PTLDs), more than 95% of endemic Burkitt lymphomas (BLs), 20–30% of sporadic BLs, 25–40% of immunodeficiency-associated BLs, EBV-positive DLBCL NOS and most NK/T-cell lymphomas [148,149,150,151]. In a cohort of 1253 patients with DLBCL, PD-L1 protein expression was significantly associated with EBV positivity in the non-GCB subtype and showed a trend toward inferior OS in these patients [152].

3.4. Tissue Tumor Mutational Burden (TMB) and Plasma Tumor Mutational Burden (pTMB)

Based on the concept that higher mutation loads could yield to improved T-cell recognition of tumors via increased neoantigen production, tumor mutational burden (TMB), defined as the number of somatic mutations per megabase (mut/Mb) [153], was investigated as a predictive biomarker of response to PD-1/PD-L1 ICB in several solid malignancies [154,155,156]. Surprisingly, TMB has only been reported in a few lymphoma patient series, and its relationship to response to PD-1/PD-L1 ICB is not well established. Using a 406-DNA gene panel, Galanina and colleagues showed a median TMB of 1.7 mut/Mb across all hematologic malignancies [157]. Applying whole-exome sequencing (WES), Wienand et al. described a median TMB of 7.7 mut/Mb in cHL, although TMB may differ per EBV status, with EBV-negative cHL harboring a higher mutational level, almost similar to NSCLC (median 9.8 mut/Mb) and melanoma (13.5 mt/Mb) TMB [158,159,160]. The median TMB of PMBCL has been shown to be within the same range as cHL (7.0 mut/Mb) [161]. Using LymphomaScan, a 405-gene panel, Cho et al. (2021) investigated TMB in different NHLs (B-cell neoplasms n = 243, T- and NK-cell neoplasms n = 53, precursor lymphoid neoplasms n = 4), reporting single-nucleotide variant (SNV) and insertion–deletion mutations (Indels) for each subtype. Overall, they found that B-cell lymphomas had statistically more mutations (24 SNV/Indel) than T- and NK-cell lymphomas (17 SNV/Indel). PMBCL accounted for the highest TMB load (32 SNV/Indel), followed by PCNSL (30 SNV/Indel), DLBCL NOS (23 SNV/Indel), ALK-negative anaplastic large cell lymphoma (ALCL) (23 SNV/Indel), ALK-positive ALCL (14 SNV/Indel), follicular T-cell lymphoma (14 SNV/Indel) and nodal peripheral T-cell lymphoma with TFH phenotype (PTCL TFH) (14.5 SNV/Indel) [162].
Circulating tumor DNA (ctDNA), sometimes referred to as liquid biopsy, reflects tumor DNA spread within the circulation [163]. Plasma TMB (pTMB) has been investigated in solid tumors and DLBCL as a surrogate to quantify overall tumor burden and mutational load and more accurately capture molecular tumor heterogeneity and clonal evolution [164,165]. To our knowledge, only a limited number of clinical studies have been conducted on lymphoma. One study evaluated pTMB in cHL, showing that higher baseline ctDNA and a sharper ctDNA decrease (>40%) significantly correlated with better clinical responses to sintilimab [166]. Another study, reported as an abstract only, compared TMB and pTMB in several NHL subtypes and concluded that there is a higher TMB in DLBCL than in other lymphoma subtypes [167]. Based on these results, it seems that a higher TMB seems to correlate to PD-1 ICB response, as this is the case for other solid cancers [168].

3.5. MSI and d-MMR

Microsatellite instability (MSI), caused by deficiency of the DNA mismatch repair (MMR) system, results in a higher mutational load and tumor antigen expression, leading to increased antitumor T-cell activation. MSI and MMR status are well-recognized prognostic factors in several solid tumors. The National Cancer Institute recommends a panel of five microsatellite markers for MSI tumor detection (two mononucleotide repeats: BAT-25, BAT-26; three dinucleotide repeats: D2S123, D5S346, D17S250). MSI-high tumors are defined as having instability in two or more of these markers [169]. Like those harboring a high TMB, patients with MSI-high tumors achieve durable responses to ICB [170]. Pembrolizumab and dostarlimab, both anti-PD-1 antibodies, are now approved by the FDA for the treatment of unselected advanced-stage tumors with MSI/dMMR [171]. Even though MSI-associated hypermutation represents a potential biomarker for the efficacy of PD-1 blockade, it is likely infrequent in lymphoma; reported frequencies are low, occurring in only 0.46% of cHLs, 3.2% of DLBCLs and 8% of PMBCLs [160,161,172].

3.6. MHC Expression

Antigen presentation by major histocompatibility complex (MHC) molecules is an essential step in T-cell recognition and tumor cell eradication, as T-cell activation does not occur at the tumor site but in the lymph nodes. The MHC I complex, including the beta-2-microglobulin (B2M) subunit, presents tumor-generated peptides at the cell surface, which can be recognized by cytotoxic CD8+ T cells. On the other hand, MHC II complexes present tumor antigens to CD4+ T cells [173]. Acquired mutations in the antigen processing and presentation molecules are a potential mechanism of tumor escape [174]. B2M mutations resulting in decreased MHC I expression are a well-described acquired resistance mechanism to PD-1/PD-L1 ICB in melanoma [175]. By contrast, in a study on cHL, Roemer et al. (2016) discovered that over 75% of patients had decreased or absent expression of B2M/MHCI and MHCII on tumor cells [176]. Nonetheless, patients with cHL are known to have a high response rate to PD-1 ICB. The postulated alternate mechanism triggering a response to PD-1/PD-L1 ICB could be MHC class II expression. Indeed, melanoma patients with low or absent B2M/MHCI expression but increased MHCII expression demonstrated higher responses to ICB [177]. This suggests that MHCII expression could be a potential biomarker for PD-1/PD-L1 ICB response and requires further evaluation.

3.7. Intratumoral CD8+ T Lymphocyte Infiltrate Density

Several studies have demonstrated that response to PD-1/PD-L1 ICB seems tightly related to immune cell infiltration. High levels of cytotoxic CD8+ T lymphocytes at the TME have been independently linked to improved outcomes in several lymphomas (i.e., DLBCL [178], PTL [179], FL [180], MZL [181] and HL [182,183]). The association between tumor CD8+ T lymphocyte infiltration and response to PD-1/PD-L1 ICB has been confirmed for solid tumors through a large metanalysis conducted by Li et al. (2021) [184]. Such data have not yet been reported for lymphoma.

3.8. MicroRNAs

MicroRNAs (miRNAs) are small sequences of noncoding RNAs acting as gene expression regulators. miRNAs are involved in various physiologic and pathologic processes, including immune responses [185]. Numerous miRNAs are recognized as prognostic biomarkers and are investigated as potential therapeutic targets in solid and hematologic tumors [186]. Among all miRNAs, microRNA-21 (miR-21) is one of the most frequently overexpressed miRNAs in solid tumors and B-NHL [187]. High plasma miR-21 levels have been associated with poor prognosis in several B-NHL subtypes (e.g., primary gastrointestinal DLBCL [188], DLBCL [189], Burkitt lymphoma [190], PCNSL [191]). miR-21 depletion may enhance antitumor activity through the polarization of macrophages into an M1-like phenotype; on the other hand, miR-21 also upregulates PD-L1 expression [192]. Taking advantage of these properties, Xi et al. recently showed in a preclinical model a synergetic effect of miR-21-depleting therapy and PD-1 ICB [192].

3.9. Gut Microbiome

Recent evidence shows that the biodiversity of the gut microbiome could influence the antitumor activity of PD-1/PD-L1 ICB; this was notably investigated in melanoma [193,194]. Namely, Liu et al. (2021) demonstrated that a favorable gut microbiome characterized by its diversity and the presence of specific bacteria species could influence the innate and adaptive immune system by increasing antigen presentation and augmenting T-cell response. On the other hand, antibiotic use may disrupt the gut microbiome and impair cytotoxic T-cell responses against tumor cells [195]. Hwang et al. studied this association in a small retrospective cohort of 62 cHL patients treated with ICB and observed that prior and/or current antibiotherapy was linked to inferior outcomes [196]. Recently, Casadei et al. (2021) prospectively collected feces (at baseline, before each treatment, at response assessment and for grade >2 adverse events) from cHL (n = 12) and PMBCL (n = 5) patients undergoing PD-1PD-L1 ICB. They reported that the results of the first six patients (all cHL) showed clear differences in their microbiomes, with a depletion of health-promoting microbial components compared with healthy controls [197].

4. Conclusions

PD-1/PD-L1 ICB is now a well-recognized therapy against specific lymphoproliferative disorders such as cHL and PMBCL. Besides those specific indications, PD-1/PD-L1 ICB shows generally disappointing results across all NHLs. Some patients with specific NHL subtypes, (e.g., PMBCL, PTL, PCNSL) or particular molecular findings (e.g., high TMB), may derive prolonged clinical benefit from these agents. To date, the identification of discriminative biomarkers of response to PD-1/PD-L1 ICB has been very challenging. In lymphoma, PD-L1 expression is driven by genetic alterations of the 9p24.1 locus, activation of the JAK/STAT signaling pathway and EBV infection. However, its expression is highly variable among lymphoma subtypes and does not always correlate with clinical responses to PD-1/PD-L1 ICB. Additionally, the value of a PD-L1 H-score cut-off is currently not fully understood. Other biomarkers, such as high TMB and high MSI, have not been clearly established for lymphoma, so further research in this area is urgently needed.

Author Contributions

S.P.-P. and N.L. drafted the whole manuscript. A.B. was responsible for reviewing the pathological aspects of the manuscript. S.S. and N.L. contributed to reviewing and refining the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Goodman, A.M.; Kato, S.; Bazhenova, L.; Patel, S.P.; Frampton, G.M.; Miller, V.; Stephens, P.J.; Daniels, G.A.; Kurzrock, R. Tumor Mutational Burden as an Independent Predictor of Response to Immunotherapy in Diverse Cancers. Mol. Cancer Ther. 2017, 16, 2598–2608. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Arneth, B. Tumor Microenvironment. Medicina 2019, 56, 15. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Armengol, M.; Santos, J.C.; Fernández-Serrano, M.; Profitós-Pelejà, N.; Ribeiro, M.L.; Roué, G. Immune-Checkpoint Inhibitors in B-Cell Lymphoma. Cancers 2021, 13, 214. [Google Scholar] [CrossRef]
  4. Petitprez, F.; Meylan, M.; de Reyniès, A.; Sautès-Fridman, C.; Fridman, W.H. The Tumor Microenvironment in the Response to Immune Checkpoint Blockade Therapies. Front. Immunol. 2020, 11, 784. [Google Scholar] [CrossRef] [PubMed]
  5. Pardoll, D.M. The blockade of immune checkpoints in cancer immunotherapy. Nat. Rev. Cancer 2012, 12, 252–264. [Google Scholar] [CrossRef] [Green Version]
  6. Kyi, C.; Postow, M.A. Immune checkpoint inhibitor combinations in solid tumors: Opportunities and challenges. Immunotherapy 2016, 8, 821–837. [Google Scholar] [CrossRef] [Green Version]
  7. Gravelle, P.; Burroni, B.; Péricart, S.; Rossi, C.; Bezombes, C.; Tosolini, M.; Laurent, C. Mechanisms of PD-1/PD-L1 expression and prognostic relevance in non-Hodgkin lymphoma: A summary of immunohistochemical studies. Oncotarget 2017, 8, 44960. [Google Scholar] [CrossRef] [Green Version]
  8. Keir, M.E.; Butte, M.J.; Freeman, G.J.; Sharpe, A.H. PD-1 and Its Ligands in Tolerance and Immunity. Annu. Rev. Immunol. 2008, 26, 677–704. [Google Scholar] [CrossRef] [Green Version]
  9. Xie, W.; Medeiros, L.J.; Li, S.; Yin, C.C.; Khoury, J.D.; Xu, J. PD-1/PD-L1 Pathway and Its Blockade in Patients with Classic Hodgkin Lymphoma and Non-Hodgkin Large-Cell Lymphomas. Curr. Hematol. Malig. Rep. 2020, 15, 372–381. [Google Scholar] [CrossRef]
  10. Younes, A.; Santoro, A.; Shipp, M.; Zinzani, P.L.; Timmerman, J.M.; Ansell, S.; Armand, P.; Fanale, M.; Ratanatharathorn, V.; Kuruvilla, J.; et al. Nivolumab for classical Hodgkin’s lymphoma after failure of both autologous stem-cell transplantation and brentuximab vedotin: A multicentre, multicohort, single-arm phase 2 trial. Lancet Oncol. 2016, 17, 1283–1294. [Google Scholar] [CrossRef] [Green Version]
  11. Ansell, S.; Armand, P.; Timmerman, J.M.; Shipp, M.A.; Bradley Garelik, M.B.; Zhu, L.; Lesokhin, A.M. Nivolumab in Patients (Pts) with Relapsed or Refractory Classical Hodgkin Lymphoma (R/R cHL): Clinical Outcomes from Extended Follow-up of a Phase 1 Study (CA209-039). Blood 2015, 126, 583. [Google Scholar] [CrossRef]
  12. Chen, R.; Zinzani, P.L.; Fanale, M.A.; Armand, P.; Johnson, N.A.; Brice, P.; Radford, J.; Ribrag, V.; Molin, D.; Vassilakopoulos, T.P.; et al. Phase II Study of the Efficacy and Safety of Pembrolizumab for Relapsed/Refractory Classic Hodgkin Lymphoma. J. Clin. Oncol. 2017, 35, 2125–2132. [Google Scholar] [CrossRef]
  13. Ok, C.Y.; Young, K.H. Targeting the programmed death-1 pathway in lymphoid neoplasms. Cancer Treat. Rev. 2017, 54, 99–109. [Google Scholar] [CrossRef] [Green Version]
  14. Armand, P.; Rodig, S.; Melnichenko, V.; Thieblemont, C.; Bouabdallah, K.; Tumyan, G.; Özcan, M.; Portino, S.; Fogliatto, L.; Caballero, M.D.; et al. Pembrolizumab in Relapsed or Refractory Primary Mediastinal Large B-Cell Lymphoma. J. Clin. Oncol. 2019, 37, 3291–3299. [Google Scholar] [CrossRef]
  15. Nayak, L.; Iwamoto, F.M.; LaCasce, A.; Mukundan, S.; Roemer, M.G.M.; Chapuy, B.; Armand, P.; Rodig, S.J.; Shipp, M.A. PD-1 blockade with nivolumab in relapsed/refractory primary central nervous system and testicular lymphoma. Blood 2017, 129, 3071–3073. [Google Scholar] [CrossRef] [Green Version]
  16. Zhou, H.; Xu-Monette, Z.Y.; Xiao, L.; Strati, P.; Hagemeister, F.B.; He, Y.; Chen, H.; Li, Y.; Manyam, G.C.; Li, Y.; et al. Prognostic factors, therapeutic approaches, and distinct immunobiologic features in patients with primary mediastinal large B-cell lymphoma on long-term follow-up. Blood Cancer J. 2020, 10, 49. [Google Scholar] [CrossRef]
  17. Riemersma, S.A.; Oudejans, J.J.; Vonk, M.J.; Dreef, E.J.; Prins, F.A.; Jansen, P.M.; Vermeer, M.H.; Blok, P.; Kibbelaar, R.E.; Muris, J.J.; et al. High numbers of tumour-infiltrating activated cytotoxic T lymphocytes, and frequent loss of HLA class I and II expression, are features of aggressive B cell lymphomas of the brain and testis. J. Pathol. 2005, 206, 328–336. [Google Scholar] [CrossRef]
  18. Chen, X.; Song, X.; Li, K.; Zhang, T. FcγR-Binding Is an Important Functional Attribute for Immune Checkpoint Antibodies in Cancer Immunotherapy. Front. Immunol. 2019, 10, 292. [Google Scholar] [CrossRef]
  19. Ansell, S.; Gutierrez, M.E.; Shipp, M.A.; Gladstone, D.; Moskowitz, A.; Borello, I.; Popa-Mckiver, M.; Farsaci, B.; Zhu, L.; Lesokhin, A.M.; et al. A Phase 1 Study of Nivolumab in Combination with Ipilimumab for Relapsed or Refractory Hematologic Malignancies (CheckMate 039). Blood 2016, 128, 183. [Google Scholar] [CrossRef]
  20. Armand, P.; Engert, A.; Younes, A.; Fanale, M.; Santoro, A.; Zinzani, P.L.; Timmerman, J.M.; Collins, G.P.; Ramchandren, R.; Cohen, J.B.; et al. 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, 1428–1439. [Google Scholar] [CrossRef]
  21. 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.; et al. Programmed Death-1 Blockade with Pembrolizumab in Patients with Classical Hodgkin Lymphoma after Brentuximab Vedotin Failure. J. Clin. Oncol. 2016, 34, 3733–3739. [Google Scholar] [CrossRef] [PubMed]
  22. Chen, R.; Zinzani, P.L.; Lee, H.J.; Armand, P.; Johnson, N.A.; Brice, P.; Radford, J.; Ribrag, V.; Molin, D.; Vassilakopoulos, T.P.; et al. Pembrolizumab in relapsed or refractory Hodgkin lymphoma: 2-year follow-up of KEYNOTE-087. Blood 2019, 134, 1144–1153. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Michot, J.-M.; Armand, P.; Ding, W.; Ribrag, V.; Christian, B.; Marinello, P.; Chlosta, S.; Zhang, Y.; Shipp, M.; Zinzani, P.L. KEYNOTE-170: Phase 2 study of pembrolizumab in patients with relapsed/refractory primary mediastinal large B-cell lymphoma (rrPMBCL) or relapsed or refractory Richter syndrome (rrRS). Ann. Oncol. 2016, 27, viii15. [Google Scholar] [CrossRef]
  24. Song, Y.; Gao, Q.; Zhang, H.; Fan, L.; Zhou, J.; Zou, D.; Li, W.; Yang, H.; Liu, T.; Wang, Q.; et al. Treatment of relapsed or refractory classical Hodgkin lymphoma with the anti-PD-1, tislelizumab: Results of a phase 2, single-arm, multicenter study. Leukemia 2020, 34, 533–542. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Song, Y.; Wu, J.; Chen, X.; Lin, T.; Cao, J.; Liu, Y.; Zhao, Y.; Jin, J.; Huang, H.; Hu, J.; et al. A Single-Arm, Multicenter, Phase II Study of Camrelizumab in Relapsed or Refractory Classical Hodgkin Lymphoma. Clin. Cancer Res. 2019, 25, 7363–7369. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Shi, Y.; Su, H.; Song, Y.; Jiang, W.; Sun, X.; Qian, W.; Zhang, W.; Gao, Y.; Jin, Z.; Zhou, J.; et al. Safety and activity of sintilimab in patients with relapsed or refractory classical Hodgkin lymphoma (ORIENT-1): A multicentre, single-arm, phase 2 trial. Lancet Haematol. 2019, 6, e12–e19. [Google Scholar] [CrossRef]
  27. Lin, N.; Zhang, M.; Bai, H.; Liu, H.; Cui, J.; Ke, X.; Zhang, H.; Liu, L.; Yan, D.; Jiang, Y.; et al. Efficacy and safety of GLS-010 (zimberelimab) in patients with relapsed or refractory classical Hodgkin lymphoma: A multicenter, single-arm, phase II study. Eur. J. Cancer 2022, 164, 117–126. [Google Scholar] [CrossRef]
  28. Song, Y.; Zhou, K.; Jin, C.; Qian, Z.; Hou, M.; Fan, L.; Li, F.; Ding, K.; Zhou, H.; Li, X.; et al. Penpulimab for Relapsed or Refractory Classical Hodgkin Lymphoma: A Multicenter, Single-Arm, Pivotal Phase I/II Trial (AK105-201). Front. Oncol. 2022, 12, 925236. [Google Scholar] [CrossRef]
  29. Ansell, S.M.; Lesokhin, A.M.; Borrello, I.; Halwani, A.; Scott, E.C.; Gutierrez, M.; Schuster, S.J.; Millenson, M.M.; Cattry, D.; Freeman, G.J.; et al. PD-1 Blockade with Nivolumab in Relapsed or Refractory Hodgkin’s Lymphoma. N. Engl. J. Med. 2015, 372, 311–319. [Google Scholar] [CrossRef] [Green Version]
  30. Maruyama, D.; Hatake, K.; Kinoshita, T.; Fukuhara, N.; Choi, I.; Taniwaki, M.; Ando, K.; Terui, Y.; Higuchi, Y.; Onishi, Y.; et al. Multicenter phase II study of nivolumab in Japanese patients with relapsed or refractory classical Hodgkin lymphoma. Cancer Sci. 2017, 108, 1007–1012. [Google Scholar] [CrossRef] [Green Version]
  31. Maruyama, D.; Terui, Y.; Yamamoto, K.; Fukuhara, N.; Choi, I.; Kuroda, J.; Ando, K.; Hattori, A.; Tobinai, K. Final results of a phase II study of nivolumab in Japanese patients with relapsed or refractory classical Hodgkin lymphoma. Jpn. J. Clin. Oncol. 2020, 50, 1265–1273. [Google Scholar] [CrossRef]
  32. Armand, P.; Kuruvilla, J.; Michot, J.-M.; Ribrag, V.; Zinzani, P.L.; Zhu, Y.; Marinello, P.; Nahar, A.; Moskowitz, C.H. KEYNOTE-013 4-year follow-up of pembrolizumab in classical Hodgkin lymphoma after brentuximab vedotin failure. Blood Adv. 2020, 4, 2617–2622. [Google Scholar] [CrossRef]
  33. Zinzani, P.L.; Chen, R.; Armand, P.; Johnson, N.A.; Brice, P.; Radford, J.; Ribrag, V.; Molin, D.; Vassilakopoulos, T.P.; Tomita, A.; et al. Pembrolizumab monotherapy in patients with primary refractory classical hodgkin lymphoma who relapsed after salvage autologous stem cell transplantation and/or brentuximab vedotin therapy: KEYNOTE-087 subgroup analysis. Leuk. Lymphoma 2020, 61, 950–954. [Google Scholar] [CrossRef]
  34. Vaddepally, R.K.; Kharel, P.; Pandey, R.; Garje, R.; Chandra, A.B. Review of Indications of FDA-Approved Immune Checkpoint Inhibitors per NCCN Guidelines with the Level of Evidence. Cancers 2020, 12, 738. [Google Scholar] [CrossRef] [Green Version]
  35. Kuruvilla, J.; Ramchandren, R.; Santoro, A.; Paszkiewicz-Kozik, E.; Gasiorowski, R.; Johnson, N.A.; Fogliatto, L.M.; Goncalves, I.; de Oliveira, J.S.R.; Buccheri, V.; et al. Pembrolizumab versus brentuximab vedotin in relapsed or refractory classical Hodgkin lymphoma (KEYNOTE-204): An interim analysis of a multicentre, randomised, open-label, phase 3 study. Lancet Oncol. 2021, 22, 512–524. [Google Scholar] [CrossRef]
  36. Armand, P.; Engert, A.; Younes, A.; Lee, H.J.; Santoro, A.; Zinzani, P.L.; Timmerman, J.M.; Collins, G.P.; Ramchandren, R.; Cohen, J.B.; et al. Nivolumab for Relapsed or Refractory Classical Hodgkin Lymphoma (cHL) after Autologous Hematopoietic Cell Transplantation (auto-HCT): Extended Follow-up of the Phase 2 Single-Arm CheckMate 205 Study. Blood 2018, 132, 2897. [Google Scholar] [CrossRef]
  37. Ansell, S.; Bröckelmann, P.; von Keudell, G.; Lee, H.J.; Santoro, A.; Zinzani, P.L.; Collins, G.; Cohen, J.; De Boer, J.P.; Kuruvilla, J.; et al. HL-398: Five-Year Overall Survival from the CheckMate 205 Study of Nivolumab for Relapsed or Refractory (R/R) Classical Hodgkin Lymphoma (cHL). Clin. Lymphoma Myeloma Leuk. 2021, 21, S373–S374. [Google Scholar] [CrossRef]
  38. Armand, P.; Zinzani, P.L.L.; Lee, H.J.; Johnson, N.; Brice, P.; Radford, J.; Ribrag, V.; Molin, D.; Vassilakopoulos, T.P.; Tomita, A.; et al. Five-Year Follow-up of Keynote-087: Pembrolizumab Monotherapy in Relapsed/Refractory Classical Hodgkin Lymphoma (R/R cHL). Blood 2021, 138, 1366. [Google Scholar] [CrossRef]
  39. Herrera, A.F.; Burton, C.; Radford, J.; Miall, F.; Townsend, W.; Santoro, A.; Zinzani, P.L.; Lewis, D.; Fowst, C.; Brar, S.; et al. Avelumab in relapsed/refractory classical Hodgkin lymphoma: Phase 1b results from the JAVELIN Hodgkins trial. Blood Adv. 2021, 5, 3387–3396. [Google Scholar] [CrossRef]
  40. Song, Y.; Gao, Q.; Zhang, H.; Fan, L.; Zhou, J.; Zou, D.; Li, W.; Yang, H.; Liu, T.; Wang, Q.; et al. Tislelizumab for Relapsed/Refractory Classical Hodgkin Lymphoma: 3-Year Follow-up and Correlative Biomarker Analysis. Clin. Cancer Res. 2022, 28, 1147–1156. [Google Scholar] [CrossRef]
  41. Wu, J.; Song, Y.; Chen, X.; Lin, T.; Cao, J.; Liu, Y.; Zhao, Y.; Jin, J.; Huang, H.; Hu, J.; et al. Camrelizumab for relapsed or refractory classical Hodgkin lymphoma: Extended follow-up of the multicenter, single-arm, Phase 2 study. Int. J. Cancer 2022, 150, 984–992. [Google Scholar] [CrossRef] [PubMed]
  42. Nie, J.; Wang, C.; Liu, Y.; Yang, Q.; Mei, Q.; Dong, L.; Li, X.; Liu, J.; Ku, W.; Zhang, Y.; et al. Addition of Low-Dose Decitabine to Anti–PD-1 Antibody Camrelizumab in Relapsed/Refractory Classical Hodgkin Lymphoma. J. Clin. Oncol. 2019, 37, 1479–1489. [Google Scholar] [CrossRef] [PubMed]
  43. Liu, Y.; Wang, C.; Li, X.; Dong, L.; Yang, Q.; Chen, M.; Shi, F.; Brock, M.; Liu, M.; Mei, Q.; et al. Improved clinical outcome in a randomized phase II study of anti-PD-1 camrelizumab plus decitabine in relapsed/refractory Hodgkin lymphoma. J. Immunother. Cancer 2021, 9, e002347. [Google Scholar] [CrossRef] [PubMed]
  44. Su, H.; Song, Y.; Jiang, W.; Sun, X.; Qian, W.; Zhang, W.; Gao, Y.; Jin, Z.; Zhou, J.; Jin, C.; et al. Sintilimab for relapsed/refractory classical Hodgkin’s lymphoma: Long-term follow-up on the multicenter, single-arm phase II ORIENT-1 study. J. Clin. Oncol. 2020, 38, 8034. [Google Scholar] [CrossRef]
  45. Armand, P.; Chen, Y.-B.; Redd, R.A.; Joyce, R.M.; Bsat, J.; Jeter, E.; Merryman, R.W.; Coleman, K.C.; Dahi, P.B.; Nieto, Y.; et al. PD-1 blockade with pembrolizumab for classical Hodgkin lymphoma after autologous stem cell transplantation. Blood 2019, 134, 22–29. [Google Scholar] [CrossRef]
  46. Barraclough, A.; Chong, G.; Gilbertson, M.; Grigg, A.; Churilov, L.; Fancourt, T.; Ritchie, D.; Koldej, R.; Agarwal, R.; Manos, K.; et al. Immune Priming with Single-Agent Nivolumab Followed by Combined Nivolumab & Rituximab Is Safe and Efficacious for First-Line Treatment of Follicular Lymphoma; Interim Analysis of the “1st FLOR” Study. Blood 2019, 134, 1523. [Google Scholar] [CrossRef]
  47. Hawkes, E.A.; Lee, S.T.; Chong, G.; Gilbertson, M.; Grigg, A.; Churilov, L.; Fancourt, T.; Keane, C.; Ritchie, D.; Koldej, R.; et al. Immune priming with nivolumab followed by nivolumab and rituximab in first-line treatment of follicular lymphoma: The phase 21st FLOR study. J. Clin. Oncol. 2021, 39, 7560. [Google Scholar] [CrossRef]
  48. Armand, P.; Janssens, A.; Gritti, G.; Radford, J.; Timmerman, J.; Pinto, A.; Mercadal Vilchez, S.; Johnson, P.; Cunningham, D.; Leonard, J.P.; et al. Efficacy and safety results from CheckMate 140, a phase 2 study of nivolumab for relapsed/refractory follicular lymphoma. Blood 2021, 137, 637–645. [Google Scholar] [CrossRef]
  49. Ansell, S.M.; Minnema, M.C.; Johnson, P.; Timmerman, J.M.; Armand, P.; Shipp, M.A.; Rodig, S.J.; Ligon, A.H.; Roemer, M.G.M.; Reddy, N.; et al. Nivolumab for Relapsed/Refractory Diffuse Large B-Cell Lymphoma in Patients Ineligible for or Having Failed Autologous Transplantation: A Single-Arm, Phase II Study. J. Clin. Oncol. 2019, 37, 481–489. [Google Scholar] [CrossRef]
  50. Zinzani, P.L.; Ribrag, V.; Moskowitz, C.H.; Michot, J.-M.; Kuruvilla, J.; Balakumaran, A.; Zhang, Y.; Chlosta, S.; Shipp, M.A.; Armand, P. Safety and tolerability of pembrolizumab in patients with relapsed/refractory primary mediastinal large B-cell lymphoma. Blood 2017, 130, 267–270. [Google Scholar] [CrossRef] [Green Version]
  51. Kim, S.J.; Lim, J.Q.; Laurensia, Y.; Cho, J.; Yoon, S.E.; Lee, J.Y.; Ryu, K.J.; Ko, Y.H.; Koh, Y.; Cho, D.; et al. Avelumab for the treatment of relapsed or refractory extranodal NK/T-cell lymphoma: An open-label phase 2 study. Blood 2020, 136, 2754–2763. [Google Scholar] [CrossRef]
  52. Tao, R.; Fan, L.; Song, Y.; Hu, Y.; Zhang, W.; Wang, Y.; Xu, W.; Li, J. Sintilimab for relapsed/refractory extranodal NK/T cell lymphoma: A multicenter, single-arm, phase 2 trial (ORIENT-4). Signal Transduct. Target. Ther. 2021, 6, 365. [Google Scholar] [CrossRef]
  53. Lesokhin, A.M.; Ansell, S.M.; Armand, P.; Scott, E.C.; Halwani, A.; Gutierrez, M.; Millenson, M.M.; Cohen, A.D.; Schuster, S.J.; Lebovic, D.; et al. Nivolumab in Patients with Relapsed or Refractory Hematologic Malignancy: Preliminary Results of a Phase Ib Study. J. Clin. Oncol. 2016, 34, 2698–2704. [Google Scholar] [CrossRef] [Green Version]
  54. Frigault, M.J.; Armand, P.; Redd, R.A.; Jeter, E.; Merryman, R.W.; Coleman, K.C.; Herrera, A.F.; Dahi, P.; Nieto, Y.; LaCasce, A.S.; et al. PD-1 blockade for diffuse large B-cell lymphoma after autologous stem cell transplantation. Blood Adv. 2020, 4, 122–126. [Google Scholar] [CrossRef] [Green Version]
  55. Davids, M.S.; Kim, H.T.; Costello, C.; Herrera, A.F.; Locke, F.L.; Maegawa, R.O.; Savell, A.; Mazzeo, M.; Anderson, A.; Boardman, A.P.; et al. A multicenter phase 1 study of nivolumab for relapsed hematologic malignancies after allogeneic transplantation. Blood 2020, 135, 2182–2191. [Google Scholar] [CrossRef]
  56. Ding, W.; LaPlant, B.R.; Call, T.G.; Parikh, S.A.; Leis, J.F.; He, R.; Shanafelt, T.D.; Sinha, S.; Le-Rademacher, J.; Feldman, A.L.; et al. Pembrolizumab in patients with CLL and Richter transformation or with relapsed CLL. Blood 2017, 129, 3419–3427. [Google Scholar] [CrossRef]
  57. Khodadoust, M.S.; Rook, A.H.; Porcu, P.; Foss, F.; Moskowitz, A.J.; Shustov, A.; Shanbhag, S.; Sokol, L.; Fling, S.P.; Ramchurren, N.; et al. Pembrolizumab in Relapsed and Refractory Mycosis Fungoides and Sézary Syndrome: A Multicenter Phase II Study. J. Clin. Oncol. 2020, 38, 20–28. [Google Scholar] [CrossRef]
  58. Chong, E.A.; Svoboda, J.; Dwivedy Nasta, S.; Landsburg, D.J.; Winchell, N.; Napier, E.; Mato, A.R.; Melenhorst, J.J.; Ruella, M.; Lacey, S.F.; et al. Sequential Anti-CD19 Directed Chimeric Antigen Receptor Modified T-Cell Therapy (CART19) and PD-1 Blockade with Pembrolizumab in Patients with Relapsed or Refractory B-Cell Non-Hodgkin Lymphomas. Blood 2018, 132, 4198. [Google Scholar] [CrossRef]
  59. Geoerger, B.; Zwaan, C.M.; Marshall, L.V.; Michon, J.; Bourdeaut, F.; Casanova, M.; Corradini, N.; Rossato, G.; Farid-Kapadia, M.; Shemesh, C.S.; et al. Atezolizumab for children and young adults with previously treated solid tumours, non-Hodgkin lymphoma, and Hodgkin lymphoma (iMATRIX): A multicentre phase 1–2 study. Lancet Oncol. 2020, 21, 134–144. [Google Scholar] [CrossRef]
  60. Casulo, C.; Santoro, A.; Cartron, G.; Ando, K.; Munoz, J.; Le Gouill, S.; Izutsu, K.; Rule, S.; Lugtenburg, P.; Ruan, J.; et al. Durvalumab as monotherapy and in combination therapy in patients with lymphoma or chronic lymphocytic leukemia: The FUSION NHL 001 trial. Cancer Rep. 2023, 6, e1662. [Google Scholar] [CrossRef]
  61. Ramchandren, R.; Domingo-Domènech, E.; Rueda, A.; Trněný, M.; Feldman, T.A.; Lee, H.J.; Provencio, M.; Sillaber, C.; Cohen, J.B.; Savage, K.J.; et al. Nivolumab for Newly Diagnosed Advanced-Stage Classic Hodgkin Lymphoma: Safety and Efficacy in the Phase II CheckMate 205 Study. J. Clin. Oncol. 2019, 37, 1997–2007. [Google Scholar] [CrossRef] [PubMed]
  62. Bröckelmann, P.J.; Goergen, H.; Keller, U.; Meissner, J.; Ordemann, R.; Halbsguth, T.V.; Sasse, S.; Sökler, M.; Kerkhoff, A.; Mathas, S.; et al. Efficacy of Nivolumab and AVD in Early-Stage Unfavorable Classic Hodgkin Lymphoma: The Randomized Phase 2 German Hodgkin Study Group NIVAHL Trial. JAMA Oncol. 2020, 6, 872. [Google Scholar] [CrossRef] [PubMed]
  63. Allen, P.B.; Savas, H.; Evens, A.M.; Advani, R.H.; Palmer, B.; Pro, B.; Karmali, R.; Mou, E.; Bearden, J.; Dillehay, G.; et al. Pembrolizumab followed by AVD in untreated early unfavorable and advanced-stage classical Hodgkin lymphoma. Blood 2021, 137, 1318–1326. [Google Scholar] [CrossRef] [PubMed]
  64. Johnson, P.; Federico, M.; Kirkwood, A.; Fosså, A.; Berkahn, L.; Carella, A.; d’Amore, F.; Enblad, G.; Franceschetto, A.; Fulham, M.; et al. Adapted Treatment Guided by Interim PET-CT Scan in Advanced Hodgkin’s Lymphoma. N. Engl. J. Med. 2016, 374, 2419–2429. [Google Scholar] [CrossRef] [PubMed]
  65. Evens, A.M.; Carter, J.; Loh, K.P.; David, K.A. Management of older Hodgkin lymphoma patients. Hematology 2019, 2019, 233–242. [Google Scholar] [CrossRef]
  66. Moccia, A.A.; Aeppli, S.; Güsewell, S.; Bargetzi, M.; Caspar, C.; Brülisauer, D.; Ebnöther, M.; Fehr, M.; Fischer, N.; Ghilardi, G.; et al. Clinical characteristics and outcome of patients over 60 years with Hodgkin lymphoma treated in Switzerland. Hematol. Oncol. 2021, 39, 196–204. [Google Scholar] [CrossRef]
  67. Cheson, B.D.; Bartlett, N.L.; LaPlant, B.; Lee, H.J.; Advani, R.J.; Christian, B.; Diefenbach, C.S.; Feldman, T.A.; Ansell, S.M. Brentuximab vedotin plus nivolumab as first-line therapy in older or chemotherapy-ineligible patients with Hodgkin lymphoma (ACCRU): A multicentre, single-arm, phase 2 trial. Lancet Haematol. 2020, 7, e808–e815. [Google Scholar] [CrossRef]
  68. Herrera, A.F.; Chen, R.W.; Palmer, J.; Tsai, N.-C.; Mei, M.; Popplewell, L.L.; Nademanee, A.P.; Nikolaenko, L.; McBride, K.; Ortega, R.; et al. PET-Adapted Nivolumab or Nivolumab Plus ICE as First Salvage Therapy in Relapsed or Refractory Hodgkin Lymphoma. Blood 2019, 134, 239. [Google Scholar] [CrossRef]
  69. Mei, M.G.; Lee, H.J.; Palmer, J.M.; Chen, R.; Tsai, N.-C.; Chen, L.; McBride, K.; Smith, D.L.; Melgar, I.; Song, J.Y.; et al. Response-adapted anti-PD-1–based salvage therapy for Hodgkin lymphoma with nivolumab alone or in combination with ICE. Blood 2022, 139, 3605–3616. [Google Scholar] [CrossRef]
  70. Bryan, L.J.; Casulo, C.; Allen, P.; Smith, S.E.; Savas, H.; Karmali, R.; Winter, J.N. Pembrolizumab (PEM) Added to ICE Chemotherapy Results in High Complete Metabolic Response Rates in Relapsed/Refractory Classic Hodgkin Lymphoma (cHL): A Multi-Institutional Phase II Trial. Blood 2021, 138, 229. [Google Scholar] [CrossRef]
  71. Diefenbach, C.S.; Hong, F.; Ambinder, R.F.; Cohen, J.B.; Robertson, M.J.; David, K.A.; Advani, R.H.; Fenske, T.S.; Barta, S.K.; Palmisiano, N.D.; et al. Ipilimumab, nivolumab, and brentuximab vedotin combination therapies in patients with relapsed or refractory Hodgkin lymphoma: Phase 1 results of an open-label, multicentre, phase 1/2 trial. Lancet Haematol. 2020, 7, e660–e670. [Google Scholar] [CrossRef]
  72. Sermer, D.J.; Vardhana, S.A.; Ames, A.; Biggar, E.; Moskowitz, A.J.; Batlevi, C.L.; Caron, P.; Hamilton, A.M.; Moskowitz, C.H.; Matasar, M.J.; et al. Early data from a phase II trial investigating the combination of pembrolizumab (PEM) and entinostat (ENT) in relapsed and refractory (R/R) Hodgkin lymphoma (HL). J. Clin. Oncol. 2020, 38, e20018. [Google Scholar] [CrossRef]
  73. Sermer, D.J.; Vardhana, S.; Biggar, E.; Moskowitz, A.J.; Joffe, E.; Khan, N.; Straus, D.J.; Kumar, A.; Zelenetz, A.D.; Horwitz, S.M.; et al. Interim Efficacy Analysis of a Phase II Study Demonstrates Promising Activity of the Combination of Pembrolizumab (PEM) and Entinostat (ENT) in Relapsed and Refractory (R/R) Hodgkin Lymphoma (HL). Blood 2021, 138, 2447. [Google Scholar] [CrossRef]
  74. Lepik, K.V.; Mikhailova, N.B.; Kondakova, E.V.; Zalyalov, Y.R.; Fedorova, L.V.; Tsvetkova, L.A.; Kotselyabina, P.V.; Borzenkova, E.S.; Babenko, E.V.; Popova, M.O.; et al. A Study of Safety and Efficacy of Nivolumab and Bendamustine (NB) in Patients With Relapsed/Refractory Hodgkin Lymphoma after Nivolumab Monotherapy Failure. HemaSphere 2020, 4, e401. [Google Scholar] [CrossRef]
  75. Herrera, A.F.; Moskowitz, A.J.; Bartlett, N.L.; Vose, J.M.; Ramchandren, R.; Feldman, T.A.; LaCasce, A.S.; Ansell, S.M.; Moskowitz, C.H.; Fenton, K.; et al. Interim results of brentuximab vedotin in combination with nivolumab in patients with relapsed or refractory Hodgkin lymphoma. Blood 2018, 131, 1183–1194. [Google Scholar] [CrossRef] [Green Version]
  76. Advani, R.H.; Moskowitz, A.J.; Bartlett, N.L.; Vose, J.M.; Ramchandren, R.; Feldman, T.A.; LaCasce, A.S.; Christian, B.A.; Ansell, S.M.; Moskowitz, C.H.; et al. Brentuximab vedotin in combination with nivolumab in relapsed or refractory Hodgkin lymphoma: 3-year study results. Blood 2021, 138, 427–438. [Google Scholar] [CrossRef]
  77. Moskowitz, A.J.; Shah, G.; Schöder, H.; Ganesan, N.; Drill, E.; Hancock, H.; Davey, T.; Perez, L.; Ryu, S.; Sohail, S.; et al. Phase II Trial of Pembrolizumab Plus Gemcitabine, Vinorelbine, and Liposomal Doxorubicin as Second-Line Therapy for Relapsed or Refractory Classical Hodgkin Lymphoma. J. Clin. Oncol. 2021, 39, 3109–3117. [Google Scholar] [CrossRef]
  78. Ansell, S.M.; Bartlett, N.L.; Chen, R.W.; Herrera, A.; Domingo-Domenech, E.; Mehta, A.; Forero-Torres, A.; Garcia-Sanz, R.; Armand, P.; Devata, S.; et al. Investigating safety and preliminary efficacy of AFM13 plus pembrolizumab in patients with relapsed/refractory Hodgkin lymphoma after brentuximab vedotin failure. Hematol. Oncol. 2019, 37, 177–178. [Google Scholar] [CrossRef] [Green Version]
  79. Bartlett, N.L.; Herrera, A.F.; Domingo-Domenech, E.; Mehta, A.; Forero-Torres, A.; Garcia-Sanz, R.; Armand, P.; Devata, S.; Izquierdo, A.R.; Lossos, I.S.; et al. A phase 1b study of AFM13 in combination with pembrolizumab in patients with relapsed or refractory Hodgkin lymphoma. Blood 2020, 136, 2401–2409. [Google Scholar] [CrossRef]
  80. Dave, H.; Terpilowski, M.; Mai, M.; Toner, K.; Grant, M.; Stanojevic, M.; Lazarski, C.; Shibli, A.; Bien, S.A.; Maglo, P.; et al. Tumor-associated antigen–specific T cells with nivolumab are safe and persist in vivo in relapsed/refractory Hodgkin lymphoma. Blood Adv. 2022, 6, 473–485. [Google Scholar] [CrossRef]
  81. Armand, P.; Lesokhin, A.; Borrello, I.; Timmerman, J.; Gutierrez, M.; Zhu, L.; Popa McKiver, M.; Ansell, S.M. A phase 1b study of dual PD-1 and CTLA-4 or KIR blockade in patients with relapsed/refractory lymphoid malignancies. Leukemia 2021, 35, 777–786. [Google Scholar] [CrossRef] [PubMed]
  82. Timmerman, J.; Lavie, D.; Johnson, N.A.; Avigdor, A.; Borchmann, P.; Andreadis, C.; Bazargan, A.; Gregory, G.; Keane, C.; Inna, T.; et al. Favezelimab (anti–LAG-3) plus pembrolizumab in patients with relapsed or refractory (R/R) classical Hodgkin lymphoma (cHL) after anti–PD-1 treatment: An open-label phase 1/2 study. J. Clin. Oncol. 2022, 40, 7545. [Google Scholar] [CrossRef]
  83. Younes, A.; John, B.M.; Diefenbach, C.S.; Ferrari, S.; Kahn, C.; Sharman, J.P.; Tani, M.; Ujjani, C.S.; Vitolo, U.; Yuen, S.; et al. Safety and Efficacy of Atezolizumab in Combination with Obinutuzumab and Bendamustine in Patients with Previously Untreated Follicular Lymphoma: An Interim Analysis. Blood 2017, 130 (Suppl. S1), 481. [Google Scholar]
  84. Younes, A.; Burke, J.M.; Diefenbach, C.S.; Ferrari, S.; Khan, C.; Sharman, J.P.; Tani, M.; Ujjani, C.; Vitolo, U.; Yuen, S.L.S.; et al. Safety and efficacy of atezolizumab with obinutuzumab and bendamustine in previously untreated follicular lymphoma. Blood Adv. 2022, 6, 5659–5667. [Google Scholar] [CrossRef]
  85. Westin, J.R.; Chu, F.; Zhang, M.; Fayad, L.E.; Kwak, L.W.; Fowler, N.; Romaguera, J.; Hagemeister, F.; Fanale, M.; Samaniego, F.; et al. Safety and activity of PD1 blockade by pidilizumab in combination with rituximab in patients with relapsed follicular lymphoma: A single group, open-label, phase 2 trial. Lancet Oncol. 2014, 15, 69–77. [Google Scholar] [CrossRef] [Green Version]
  86. Nastoupil, L.J.; Westin, J.R.; Fowler, N.H.; Fanale, M.A.; Samaniego, F.; Oki, Y.; Obi, C.; Cao, J.; Cheng, X.; Ma, M.C.J.; et al. Response rates with pembrolizumab in combination with rituximab in patients with relapsed follicular lymphoma: Interim results of an on open-label, phase II study. J. Clin. Oncol. 2017, 35, 7519. [Google Scholar] [CrossRef]
  87. Nastoupil, L.J.; Chin, C.K.; Westin, J.R.; Fowler, N.H.; Samaniego, F.; Cheng, X.; Ma, M.C.J.; Wang, Z.; Chu, F.; Dsouza, L.; et al. Safety and activity of pembrolizumab in combination with rituximab in relapsed or refractory follicular lymphoma. Blood Adv. 2022, 6, 1143–1151. [Google Scholar] [CrossRef]
  88. Morschhauser, F.; Ghosh, N.; Lossos, I.S.; Palomba, M.L.; Mehta, A.; Casasnovas, O.; Stevens, D.; Katakam, S.; Knapp, A.; Nielsen, T.; et al. Obinutuzumab-atezolizumab-lenalidomide for the treatment of patients with relapsed/refractory follicular lymphoma: Final analysis of a Phase Ib/II trial. Blood Cancer J. 2021, 11, 147. [Google Scholar] [CrossRef]
  89. Younes, A.; Burke, J.M.; Cheson, B.; Diefenbach, C.; Ferrari, S.; Hahn, U.; Hawkes, E.; Khan, C.; Lossos, I.S.; Musuraka, G.; et al. Safety and Efficacy of Atezolizumab in Combination with Rituximab Plus CHOP in Previously Untreated Patients with Diffuse Large B-Cell Lymphoma (DLBCL): Primary Analysis of a Phase I/II Study. Blood 2018, 132, 2969. [Google Scholar] [CrossRef]
  90. Younes, A.; Burke, J.M.; Cheson, B.D.; Diefenbach, C.; Ferrari, S.; Hahn, U.H.; Hawkes, E.A.; Khan, C.; Lossos, I.S.; Musuraca, G.; et al. Safety and Efficacy of Atezolizumab in Combination with Rituximab Plus CHOP in Previously Untreated Patients with Diffuse Large B-Cell Lymphoma (DLBCL): Updated Analysis of a Phase I/II Study. Blood 2019, 134, 2874. [Google Scholar] [CrossRef]
  91. Smith, S.D.; Till, B.G.; Shadman, M.S.; Lynch, R.C.; Cowan, A.J.; Wu, Q.V.; Voutsinas, J.; Rasmussen, H.A.; Blue, K.; Ujjani, C.S.; et al. Pembrolizumab with R-CHOP in previously untreated diffuse large B-cell lymphoma: Potential for biomarker driven therapy. Br. J. Haematol. 2020, 189, 1119–1126. [Google Scholar] [CrossRef]
  92. Nowakowski, G.S.; Willenbacher, W.; Greil, R.; Larsen, T.S.; Patel, K.; Jäger, U.; Manges, R.F.; Trümper, L.; Everaus, H.; Kalakonda, N.; et al. Safety and efficacy of durvalumab with R-CHOP or R2-CHOP in untreated, high-risk DLBCL: A phase 2, open-label trial. Int. J. Hematol. 2022, 115, 222–232. [Google Scholar] [CrossRef]
  93. Palomba, M.L.; Cartron, G.; Popplewell, L.; Ribrag, V.; Westin, J.; Huw, L.-Y.; Agarwal, S.; Shivhare, M.; Hong, W.-J.; Raval, A.; et al. Combination of Atezolizumab and Tazemetostat in Patients with Relapsed/Refractory Diffuse Large B-Cell Lymphoma: Results From a Phase Ib Study. Clin. Lymphoma Myeloma Leuk. 2022, 22, 504–512. [Google Scholar] [CrossRef]
  94. Jacobson, C.A.; Westin, J.R.; Miklos, D.B.; Herrera, A.F.; Lee, J.; Seng, J.; Rossi, J.M.; Sun, J.; Dong, J.; Roberts, Z.J.; et al. Abstract CT055: Phase 1/2 primary analysis of ZUMA-6: Axicabtagene ciloleucel (Axi-Cel) in combination with atezolizumab (Atezo) for the treatment of patients (Pts) with refractory diffuse large B cell lymphoma (DLBCL). Cancer Res. 2020, 80 (Suppl. S16), CT055. [Google Scholar] [CrossRef]
  95. Jäger, U.; Worel, N.; McGuirk, J.; Riedell, P.A.; Fleury, I.; Borchmann, P.; Du, Y.; Abdelhady, A.M.; Han, X.; Martinez-Prieto, M.; et al. Safety and efficacy of tisagenlecleucel (tisa-cel) plus pembrolizumab (pembro) in patients (pts) with relapsed/refractory diffuse large B-cell lymphoma (r/r DLBCL): Updated analysis of the phase 1b PORTIA study. J. Clin. Oncol. 2021, 39, e19537. [Google Scholar] [CrossRef]
  96. Witzig, T.E.; Maddocks, K.J.; De Vos, S.; Lyons, R.M.; Edenfield, W.J.; Sharman, J.P.; Vose, J.; Yimer, H.A.; Wei, H.; Chan, E.M.; et al. Phase 1/2 trial of acalabrutinib plus pembrolizumab (Pem) in relapsed/refractory (r/r) diffuse large B-cell lymphoma (DLBCL). J. Clin. Oncol. 2019, 37, 7519. [Google Scholar] [CrossRef]
  97. Osborne, W.; Marzolini, M.; Tholouli, E.; Ramakrishnan, A.; Bachier, C.R.; McSweeney, P.A.; Irvine, D.; Zhang, M.; Al-Hajj, M.A.; Pule, M.; et al. Phase I Alexander study of AUTO3, the first CD19/22 dual targeting CAR T cell therapy, with pembrolizumab in patients with relapsed/refractory (r/r) DLBCL. J. Clin. Oncol. 2020, 38, 8001. [Google Scholar] [CrossRef]
  98. Zinzani, P.L.; Santoro, A.; Gritti, G.; Brice, P.; Barr, P.M.; Kuruvilla, J.; Cunningham, D.; Kline, J.; Johnson, N.A.; Mehta-Shah, N.; et al. Nivolumab Combined with Brentuximab Vedotin for Relapsed/Refractory Primary Mediastinal Large B-Cell Lymphoma: Efficacy and Safety from the Phase II CheckMate 436 Study. J. Clin. Oncol. 2019, 37, 3081–3089. [Google Scholar] [CrossRef]
  99. Zinzani, P.L.; Santoro, A.; Gritti, G.; Brice, P.; Barr, P.M.; Kuruvilla, J.; Cunningham, D.; Kline, J.; Johnson, N.A.; Mehta-Shah, N.; et al. Nivolumab plus brentuximab vedotin for relapsed/refractory primary mediastinal large B-cell lymphoma: Extended follow-up from the phase 2 CheckMate 436 study. Hematol. Oncol. 2021, 39, 93–95. [Google Scholar] [CrossRef]
  100. Younes, A.; Brody, J.; Carpio, C.; Lopez-Guillermo, A.; Ben-Yehuda, D.; Ferhanoglu, B.; Nagler, A.; Ozcan, M.; Avivi, I.; Bosch, F.; et al. Safety and activity of ibrutinib in combination with nivolumab in patients with relapsed non-Hodgkin lymphoma or chronic lymphocytic leukaemia: A phase 1/2a study. Lancet Haematol. 2019, 6, e67–e78. [Google Scholar] [CrossRef]
  101. Palomba, M.L.; Till, B.G.; Park, S.I.; Morschhauser, F.; Cartron, G.; Marks, R.; Shivhare, M.; Hong, W.-J.; Raval, A.; Chang, A.C.; et al. Combination of Atezolizumab and Obinutuzumab in Patients with Relapsed/Refractory Follicular Lymphoma and Diffuse Large B-Cell Lymphoma: Results from a Phase 1b Study. Clin. Lymphoma Myeloma Leuk. 2022, 22, e443–e451. [Google Scholar] [CrossRef] [PubMed]
  102. Jain, N.; Basu, S.; Thompson, P.A.; Ohanian, M.; Ferrajoli, A.; Pemmaraju, N.; Cortes, J.E.; Estrov, Z.; Burger, J.A.; Neelapu, S.S.; et al. Nivolumab Combined with Ibrutinib for CLL and Richter Transformation: A Phase II Trial. Blood 2016, 128, 59. [Google Scholar] [CrossRef]
  103. Jain, N.; Ferrajoli, A.; Basu, S.; Thompson, P.A.; Burger, J.A.; Kadia, T.M.; Estrov, Z.E.; Pemmaraju, N.; Lopez, W.; Thakral, B.; et al. A Phase II Trial of Nivolumab Combined with Ibrutinib for Patients with Richter Transformation. Blood 2018, 132, 296. [Google Scholar] [CrossRef]
  104. Herbaux, C.; Casasnovas, O.; Feugier, P.; Damaj, G.; Bouabdallah, R.; Guidez, S.; Ysebaert, L.; Tilly, H.; Le Gouill, S.; Fornecker, L.; et al. Atezolizumab + obinutuzumab + venetoclax in patients with relapsed or refractory diffuse large B-cell Lymphomas (R/R DLBCL): Primary analysis of a phase II trial from LYSA. J. Clin. Oncol. 2020, 38, 8053. [Google Scholar] [CrossRef]
  105. Herbaux, C.; Ghesquieres, H.; Bouabdallah, R.; Guidez, S.; Gyan, E.; Gressin, R.; Morineau, N.; Ysebaert, L.; Le Gouill, S.; Laurent, C.; et al. Atezolizumab + obinutuzumab + venetoclax in patients with relapsed or refractory indolent non-Hodgkin’s lymphoma (R/R iNHL): Primary analysis of a phase 2 trial from LYSA. J. Clin. Oncol. 2021, 39, 7544. [Google Scholar] [CrossRef]
  106. Hutchings, M.; Gritti, G.; Sureda, A.; Terol, M.J.; Dyer, M.J.; Iacoboni, G.; Townsend, W.; Bacac, M.; Bröske, A.-M.E.; Dimier, N.; et al. CD20-TCB, a Novel T-Cell-Engaging Bispecific Antibody, Can be Safely Combined with the Anti-PD-L1 Antibody Atezolizumab in Relapsed or Refractory B-Cell Non-Hodgkin Lymphoma. Blood 2019, 134, 2871. [Google Scholar] [CrossRef]
  107. Gregory, G.P.; Kumar, S.; Wang, D.; Mahadevan, D.; Walker, P.; Wagner-Johnston, N.; Escobar, C.; Bannerji, R.; Bhutani, D.; Chang, J.; et al. Pembrolizumab plus dinaciclib in patients with hematologic malignancies: The phase 1b KEYNOTE-155 study. Blood Adv. 2022, 6, 1232–1242. [Google Scholar] [CrossRef]
  108. Herrera, A.F.; Goy, A.; Mehta, A.; Ramchandren, R.; Pagel, J.M.; Svoboda, J.; Guan, S.; Hill, J.S.; Kwei, K.; Liu, E.A.; et al. Safety and activity of ibrutinib in combination with durvalumab in patients with relapsed or refractory follicular lymphoma or diffuse large B-cell lymphoma. Am. J. Hematol. 2020, 95, 18–27. [Google Scholar] [CrossRef] [Green Version]
  109. Hirayama, A.V.; Gauthier, J.; Hay, K.A.; Sheih, A.; Cherian, S.; Chen, X.; Pender, B.S.; Hawkins, R.M.; Vakil, A.; Steinmetz, R.N.; et al. Efficacy and Toxicity of JCAR014 in Combination with Durvalumab for the Treatment of Patients with Relapsed/Refractory Aggressive B-Cell Non-Hodgkin Lymphoma. Blood 2018, 132, 1680. [Google Scholar] [CrossRef]
  110. Panayiotidis, P.; Tumyan, G.; Thieblemont, C.; Ptushkin, V.V.; Marin-Niebla, A.; García-Sanz, R.; Le Gouill, S.; Stathis, A.; Bottos, A.; Hamidi, H.; et al. A phase-II study of atezolizumab in combination with obinutuzumab or rituximab for relapsed or refractory mantle cell or marginal zone lymphoma or Waldenström’s macroglobulinemia. Leuk. Lymphoma 2022, 63, 1058–1069. [Google Scholar] [CrossRef]
  111. Sang, W.; Wang, X.; Geng, H.; Li, T.; Li, D.; Zhang, B.; Zhou, Y.; Song, X.; Sun, C.; Yan, D.; et al. Anti-PD-1 Therapy Enhances the Efficacy of CD30-Directed Chimeric Antigen Receptor T Cell Therapy in Patients with Relapsed/Refractory CD30+ Lymphoma. Front. Immunol. 2022, 13, 858021. [Google Scholar] [CrossRef]
  112. Crump, M. Management of Hodgkin Lymphoma in Relapse after Autologous Stem Cell Transplant. Hematology 2008, 2008, 326–333. [Google Scholar] [CrossRef] [Green Version]
  113. Moskowitz, C.H.; Nademanee, A.; Masszi, T.; Agura, E.; Holowiecki, J.; Abidi, M.H.; Chen, A.I.; Stiff, P.; Gianni, A.M.; Carella, A.; et al. Brentuximab vedotin as consolidation therapy after autologous stem-cell transplantation in patients with Hodgkin’s lymphoma at risk of relapse or progression (AETHERA): A randomised, double-blind, placebo-controlled, phase 3 trial. Lancet 2015, 385, 1853–1862. [Google Scholar] [CrossRef]
  114. Schmitz, N.; Pfistner, B.; Sextro, M.; Sieber, M.; Carella, A.M.; Haenel, M.; Boissevain, F.; Zschaber, R.; Müller, P.; Kirchner, H.; et al. Aggressive conventional chemotherapy compared with high-dose chemotherapy with autologous haemopoietic stem-cell transplantation for relapsed chemosensitive Hodgkin’s disease: A randomised trial. Lancet 2002, 359, 2065–2071. [Google Scholar] [CrossRef]
  115. Wang, H.; Kaur, G.; Sankin, A.I.; Chen, F.; Guan, F.; Zang, X. Immune checkpoint blockade and CAR-T cell therapy in hematologic malignancies. J. Hematol. Oncol. J. Hematol. Oncol. 2019, 12, 59. [Google Scholar] [CrossRef]
  116. Li, A.M.; Hucks, G.E.; Dinofia, A.M.; Seif, A.E.; Teachey, D.T.; Baniewicz, D.; Callahan, C.; Fasano, C.; McBride, B.; Gonzalez, V.; et al. Checkpoint Inhibitors Augment CD19-Directed Chimeric Antigen Receptor (CAR) T Cell Therapy in Relapsed B-Cell Acute Lymphoblastic Leukemia. Blood 2018, 132, 556. [Google Scholar] [CrossRef]
  117. Zinzani, P.L.L.; Thieblemont, C.; Melnichenko, V.; Bouabdallah, K.; Waleswski, J.; Majlis, A.; Fogliatto, L.; Martin Garcia-Sancho, A.; Christian, B.; Gulbas, Z.; et al. Final Analysis of Keynote-170: Pembrolizumab in Relapsed or Refractory Primary Mediastinal Large B-Cell Lymphoma (PMBCL). Blood 2021, 138, 306. [Google Scholar] [CrossRef]
  118. Kwong, Y.-L.; Chan, T.S.Y.; Tan, D.; Kim, S.J.; Poon, L.-M.; Mow, B.; Khong, P.-L.; Loong, F.; Au-Yeung, R.; Iqbal, J.; et al. PD1 blockade with pembrolizumab is highly effective in relapsed or refractory NK/T-cell lymphoma failing l-asparaginase. Blood 2017, 129, 2437–2442. [Google Scholar] [CrossRef] [Green Version]
  119. Cai, J.; Liu, P.; Huang, H.; Li, Y.; Ma, S.; Zhou, H.; Tian, X.; Zhang, Y.; Gao, Y.; Xia, Y.; et al. Combination of anti-PD-1 antibody with P-GEMOX as a potentially effective immunochemotherapy for advanced natural killer/T cell lymphoma. Signal Transduct. Target. Ther. 2020, 5, 289. [Google Scholar] [CrossRef]
  120. Jeong, A.-R.; Ball, E.D.; Goodman, A.M. Predicting Responses to Checkpoint Inhibitors in Lymphoma: Are We Up to the Standards of Solid Tumors? Clin. Med. Insights Oncol. 2020, 14, 1–13. [Google Scholar] [CrossRef]
  121. Garcia-Diaz, A.; Shin, D.S.; Moreno, B.H.; Saco, J.; Escuin-Ordinas, H.; Rodriguez, G.A.; Zaretsky, J.M.; Sun, L.; Hugo, W.; Wang, X.; et al. Interferon Receptor Signaling Pathways Regulating PD-L1 and PD-L2 Expression. Cell Rep. 2017, 19, 1189–1201. [Google Scholar] [CrossRef] [Green Version]
  122. Cha, J.-H.; Chan, L.-C.; Li, C.-W.; Hsu, J.L.; Hung, M.-C. Mechanisms Controlling PD-L1 Expression in Cancer. Mol. Cell 2019, 76, 359–370. [Google Scholar] [CrossRef] [PubMed]
  123. Mahoney, K.M.; Atkins, M.B. Prognostic and predictive markers for the new immunotherapies. Oncology 2014, 28 (Suppl. S3), 39–48. [Google Scholar]
  124. Guo, H.; Ding, Q.; Gong, Y.; Gilcrease, M.Z.; Zhao, M.; Zhao, J.; Sui, D.; Wu, Y.; Chen, H.; Liu, H.; et al. Comparison of three scoring methods using the FDA-approved 22C3 immunohistochemistry assay to evaluate PD-L1 expression in breast cancer and their association with clinicopathologic factors. Breast Cancer Res. 2020, 22, 69. [Google Scholar] [CrossRef] [PubMed]
  125. Kulangara, K.; Hanks, D.A.; Waldroup, S.; Peltz, L.; Shah, S.; Roach, C.; Juco, J.W.; Emancipator, K.; Stanforth, D. Development of the combined positive score (CPS) for the evaluation of PD-L1 in solid tumors with the immunohistochemistry assay PD-L1 IHC 22C3 pharmDx. J. Clin. Oncol. 2017, 35, e14589. [Google Scholar] [CrossRef]
  126. Mok, T.S.K.; Wu, Y.-L.; Kudaba, I.; Kowalski, D.M.; Cho, B.C.; Turna, H.Z.; Castro, G.; Srimuninnimit, V.; Laktionov, K.K.; Bondarenko, I.; et al. Pembrolizumab versus chemotherapy for previously untreated, PD-L1-expressing, locally advanced or metastatic non-small-cell lung cancer (KEYNOTE-042): A randomised, open-label, controlled, phase 3 trial. Lancet 2019, 393, 1819–1830. [Google Scholar] [CrossRef]
  127. Chen, C.; Liu, S.; Jiang, X.; Huang, L.; Chen, F.; Wei, X.; Guo, H.; Shao, Y.; Li, Y.; Li, W. Tumor mutation burden estimated by a 69-gene-panel is associated with overall survival in patients with diffuse large B-cell lymphoma. Exp. Hematol. Oncol. 2021, 10, 20. [Google Scholar] [CrossRef]
  128. Zhao, S.; Zhang, M.; Zhang, Y.; Meng, H.; Wang, Y.; Liu, Y.; Zhang, Q. The prognostic value of programmed cell death ligand 1 expression in non-Hodgkin lymphoma: A meta-analysis. Cancer Biol. Med. 2018, 15, 290. [Google Scholar] [CrossRef]
  129. Qiu, L.; Zheng, H.; Zhao, X. The prognostic and clinicopathological significance of PD-L1 expression in patients with diffuse large B-cell lymphoma: A meta-analysis. BMC Cancer 2019, 19, 273. [Google Scholar] [CrossRef] [Green Version]
  130. Veldman, J.; Alsada, Z.N.D.; Berg, A.; Plattel, W.J.; Diepstra, A.; Visser, L. Soluble PD-L1 is a promising disease biomarker but does not reflect tissue expression in classic Hodgkin lymphoma. Br. J. Haematol. 2021, 193, 506–514. [Google Scholar] [CrossRef]
  131. Shen, H.; Ji, Y.; Zhou, D.; Zhang, Y.; Wang, W.; Sun, J.; Zhang, W. Soluble programmed death-ligand 1 are highly expressed in peripheral T-cell lymphoma: A biomarker for prognosis. Hematology 2019, 24, 392–398. [Google Scholar] [CrossRef] [Green Version]
  132. Cho, I.; Lee, H.; Yoon, S.E.; Ryu, K.J.; Ko, Y.H.; Kim, W.S.; Kim, S.J. Serum levels of soluble programmed death-ligand 1 (sPD-L1) in patients with primary central nervous system diffuse large B-cell lymphoma. BMC Cancer 2020, 20, 120. [Google Scholar] [CrossRef] [Green Version]
  133. Takamori, S.; Takada, K.; Azuma, K.; Jogo, T.; Shimokawa, M.; Toyokawa, G.; Hirai, F.; Tagawa, T.; Kawahara, A.; Akiba, J.; et al. Prognostic Impact of Programmed Death-Ligand 2 Expression in Primary Lung Adenocarcinoma Patients. Ann. Surg. Oncol. 2019, 26, 1916–1924. [Google Scholar] [CrossRef]
  134. Shinchi, Y.; Komohara, Y.; Yonemitsu, K.; Sato, K.; Ohnishi, K.; Saito, Y.; Fujiwara, Y.; Mori, T.; Shiraishi, K.; Ikeda, K.; et al. Accurate expression of PD-L1/L2 in lung adenocarcinoma cells: A retrospective study by double immunohistochemistry. Cancer Sci. 2019, 110, 2711–2721. [Google Scholar] [CrossRef] [Green Version]
  135. Green, M.R.; Monti, S.; Rodig, S.J.; Juszczynski, P.; Currie, T.; O’Donnell, E.; Chapuy, B.; Takeyama, K.; Neuberg, D.; Golub, T.R.; et al. Integrative analysis reveals selective 9p24.1 amplification, increased PD-1 ligand expression, and further induction via JAK2 in nodular sclerosing Hodgkin lymphoma and primary mediastinal large B-cell lymphoma. Blood 2010, 116, 3268–3277. [Google Scholar] [CrossRef] [Green Version]
  136. Tobin, J.W.D.; Keane, C.; Gunawardana, J.; Mollee, P.; Birch, S.; Hoang, T.; Lee, J.; Li, L.; Huang, L.; Murigneux, V.; et al. Progression of Disease within 24 Months in Follicular Lymphoma Is Associated with Reduced Intratumoral Immune Infiltration. J. Clin. Oncol. 2019, 37, 3300–3309. [Google Scholar] [CrossRef]
  137. Mottok, A.; Hung, S.S.; Chavez, E.A.; Woolcock, B.; Telenius, A.; Chong, L.C.; Meissner, B.; Nakamura, H.; Rushton, C.; Viganò, E.; et al. Integrative genomic analysis identifies key pathogenic mechanisms in primary mediastinal large B-cell lymphoma. Blood 2019, 134, 802–813. [Google Scholar] [CrossRef]
  138. Shi, M.; Roemer, M.G.M.; Chapuy, B.; Liao, X.; Sun, H.; Pinkus, G.S.; Shipp, M.A.; Freeman, G.J.; Rodig, S.J. Expression of Programmed Cell Death 1 Ligand 2 (PD-L2) Is a Distinguishing Feature of Primary Mediastinal (Thymic) Large B-cell Lymphoma and Associated with PDCD1LG2 Copy Gain. Am. J. Surg. Pathol. 2014, 38, 1715–1723. [Google Scholar] [CrossRef]
  139. Chapuy, B.; Roemer, M.G.M.; Stewart, C.; Tan, Y.; Abo, R.P.; Zhang, L.; Dunford, A.J.; Meredith, D.M.; Thorner, A.R.; Jordanova, E.S.; et al. Targetable genetic features of primary testicular and primary central nervous system lymphomas. Blood 2016, 127, 869–881. [Google Scholar] [CrossRef] [Green Version]
  140. Godfrey, J.; Tumuluru, S.; Bao, R.; Leukam, M.; Venkataraman, G.; Phillip, J.; Fitzpatrick, C.; McElherne, J.; MacNabb, B.W.; Orlowski, R.; et al. PD-L1 gene alterations identify a subset of diffuse large B-cell lymphoma harboring a T-cell–inflamed phenotype. Blood 2019, 133, 2279–2290. [Google Scholar] [CrossRef]
  141. Wang, Y.; Wenzl, K.; Manske, M.K.; Asmann, Y.W.; Sarangi, V.; Greipp, P.T.; Krull, J.E.; Hartert, K.; He, R.; Feldman, A.L.; et al. Amplification of 9p24.1 in diffuse large B-cell lymphoma identifies a unique subset of cases that resemble primary mediastinal large B-cell lymphoma. Blood Cancer J. 2019, 9, 73. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  142. Igarashi, T.; Teramoto, K.; Ishida, M.; Hanaoka, J.; Daigo, Y. Scoring of PD-L1 expression intensity on pulmonary adenocarcinomas and the correlations with clinicopathological factors. ESMO Open 2016, 1, e000083. [Google Scholar] [CrossRef] [Green Version]
  143. Roemer, M.G.M.; Advani, R.H.; Ligon, A.H.; Natkunam, Y.; Redd, R.A.; Homer, H.; Connelly, C.F.; Sun, H.H.; Daadi, S.E.; Freeman, G.J.; et al. PD-L1 and PD-L2 Genetic Alterations Define Classical Hodgkin Lymphoma and Predict Outcome. J. Clin. Oncol. 2016, 34, 2690–2697. [Google Scholar] [CrossRef] [Green Version]
  144. Liu, J.; Hamrouni, A.; Wolowiec, D.; Coiteux, V.; Kuliczkowski, K.; Hetuin, D.; Saudemont, A.; Quesnel, B. Plasma cells from multiple myeloma patients express B7-H1 (PD-L1) and increase expression after stimulation with IFN-γ and TLR ligands via a MyD88-, TRAF6-, and MEK-dependent pathway. Blood 2007, 110, 296–304. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Luo, Y.; Liu, Y.; Wang, C.; Gan, R. Signaling pathways of EBV-induced oncogenesis. Cancer Cell Int. 2021, 21, 93. [Google Scholar] [CrossRef] [PubMed]
  146. Kim, S.-J.; Hyeon, J.; Cho, I.; Ko, Y.H.; Kim, W.S. Comparison of Efficacy of Pembrolizumab between Epstein-Barr Virus-Positive and -Negative Relapsed or Refractory Non-Hodgkin Lymphomas. Cancer Res. Treat. 2019, 51, 611–622. [Google Scholar] [CrossRef] [Green Version]
  147. Biggi, A.F.B.; Elgui de Oliveira, D. The Epstein-Barr Virus Hacks Immune Checkpoints: Evidence and Consequences for Lymphoproliferative Disorders and Cancers. Biomolecules 2022, 12, 397. [Google Scholar] [CrossRef]
  148. Satou, A.; Nakamura, S. EBV-positive B-cell lymphomas and lymphoproliferative disorders: Review from the perspective of immune escape and immunodeficiency. Cancer Med. 2021, 10, 6777–6785. [Google Scholar] [CrossRef]
  149. Ligeti, K.; Müller, L.P.; Müller-Tidow, C.; Weber, T. Risk factors, diagnosis, and management of posttransplant lymphoproliferative disorder: Improving patient outcomes with a multidisciplinary treatment approach. Transpl. Res. Risk Manag. 2017, 9, 1–14. [Google Scholar] [CrossRef] [Green Version]
  150. Steiner, R.E.; Kridel, R.; Giostra, E.; McKee, T.A.; Achermann, R.; Mueller, N.J.; Dietrich, P.Y. Low 5-year cumulative incidence of post-transplant lymphoproliferative disorders after solid organ transplantation in Switzerland. Swiss Med. Wkly. 2018, 148, w14596. [Google Scholar] [CrossRef] [Green Version]
  151. Tse, E.; Zhao, W.-L.; Xiong, J.; Kwong, Y.-L. How we treat NK/T-cell lymphomas. J. Hematol. Oncol. J. Hematol. Oncol. 2022, 15, 74. [Google Scholar] [CrossRef]
  152. Kiyasu, J.; Miyoshi, H.; Hirata, A.; Arakawa, F.; Ichikawa, A.; Niino, D.; Sugita, Y.; Yufu, Y.; Choi, I.; Abe, Y.; et al. Expression of programmed cell death ligand 1 is associated with poor overall survival in patients with diffuse large B-cell lymphoma. Blood 2015, 126, 2193–2201. [Google Scholar] [CrossRef] [Green Version]
  153. Strickler, J.H.; Hanks, B.A.; Khasraw, M. Tumor Mutational Burden as a Predictor of Immunotherapy Response: Is More Always Better? Clin. Cancer Res. 2021, 27, 1236–1241. [Google Scholar] [CrossRef]
  154. Snyder, A.; Makarov, V.; Merghoub, T.; Yuan, J.; Zaretsky, J.M.; Desrichard, A.; Walsh, L.A.; Postow, M.A.; Wong, P.; Ho, T.S.; et al. Genetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma. N. Engl. J. Med. 2014, 371, 2189–2199. [Google Scholar] [CrossRef] [Green Version]
  155. Rizvi, N.A.; Hellmann, M.D.; Snyder, A.; Kvistborg, P.; Makarov, V.; Havel, J.J.; Lee, W.; Yuan, J.; Wong, P.; Ho, T.S.; et al. Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer. Science 2015, 348, 124–128. [Google Scholar] [CrossRef] [Green Version]
  156. Klempner, S.J.; Fabrizio, D.; Bane, S.; Reinhart, M.; Peoples, T.; Ali, S.M.; Sokol, E.S.; Frampton, G.; Schrock, A.B.; Anhorn, R.; et al. Tumor Mutational Burden as a Predictive Biomarker for Response to Immune Checkpoint Inhibitors: A Review of Current Evidence. Oncologist 2020, 25, e147–e159. [Google Scholar] [CrossRef] [Green Version]
  157. Galanina, N.; Bejar, R.; Choi, M.; Goodman, A.; Wieduwilt, M.; Mulroney, C.; Kim, L.; Yeerna, H.; Tamayo, P.; Vergilio, J.-A.; et al. Comprehensive Genomic Profiling Reveals Diverse but Actionable Molecular Portfolios across Hematologic Malignancies: Implications for Next Generation Clinical Trials. Cancers 2018, 11, 11. [Google Scholar] [CrossRef] [Green Version]
  158. Ricciuti, B.; Wang, X.; Alessi, J.V.; Rizvi, H.; Mahadevan, N.R.; Li, Y.Y.; Polio, A.; Lindsay, J.; Umeton, R.; Sinha, R.; et al. Association of High Tumor Mutation Burden in Non–Small Cell Lung Cancers with Increased Immune Infiltration and Improved Clinical Outcomes of PD-L1 Blockade Across PD-L1 Expression Levels. JAMA Oncol. 2022, 8, 1160–1168. [Google Scholar] [CrossRef]
  159. Chalmers, Z.R.; Connelly, C.F.; Fabrizio, D.; Gay, L.; Ali, S.M.; Ennis, R.; Schrock, A.; Campbell, B.; Shlien, A.; Chmielecki, J.; et al. Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden. Genome Med. 2017, 9, 34. [Google Scholar] [CrossRef] [Green Version]
  160. Wienand, K.; Chapuy, B.; Stewart, C.; Dunford, A.J.; Wu, D.; Kim, J.; Kamburov, A.; Wood, T.R.; Cader, F.Z.; Ducar, M.D.; et al. Genomic analyses of flow-sorted Hodgkin Reed-Sternberg cells reveal complementary mechanisms of immune evasion. Blood Adv. 2019, 3, 4065–4080. [Google Scholar] [CrossRef] [Green Version]
  161. Chapuy, B.; Stewart, C.; Dunford, A.J.; Kim, J.; Wienand, K.; Kamburov, A.; Griffin, G.K.; Chen, P.-H.; Lako, A.; Redd, R.A.; et al. Genomic analyses of PMBL reveal new drivers and mechanisms of sensitivity to PD-1 blockade. Blood 2019, 134, 2369–2382. [Google Scholar] [CrossRef] [PubMed]
  162. Cho, J.; Yoon, S.E.; Kim, S.J.; Ko, Y.H.; Kim, W.S. Comparison of tumor mutation burden of 300 various non-Hodgkin lymphomas using panel based massively parallel sequencing. BMC Cancer 2021, 21, 972. [Google Scholar] [CrossRef] [PubMed]
  163. Russano, M.; Napolitano, A.; Ribelli, G.; Iuliani, M.; Simonetti, S.; Citarella, F.; Pantano, F.; Dell’Aquila, E.; Anesi, C.; Silvestris, N.; et al. Liquid biopsy and tumor heterogeneity in metastatic solid tumors: The potentiality of blood samples. J. Exp. Clin. Cancer Res. 2020, 39, 95. [Google Scholar] [CrossRef] [PubMed]
  164. Zhu, G.; Guo, Y.A.; Ho, D.; Poon, P.; Poh, Z.W.; Wong, P.M.; Gan, A.; Chang, M.M.; Kleftogiannis, D.; Lau, Y.T.; et al. Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden. Nat. Commun. 2021, 12, 2229. [Google Scholar] [CrossRef]
  165. Roschewski, M.; Dunleavy, K.; Pittaluga, S.; Moorhead, M.; Pepin, F.; Kong, K.; Shovlin, M.; Jaffe, E.S.; Staudt, L.M.; Lai, C.; et al. Circulating tumour DNA and CT monitoring in patients with untreated diffuse large B-cell lymphoma: A correlative biomarker study. Lancet Oncol. 2015, 16, 541–549. [Google Scholar] [CrossRef] [Green Version]
  166. Shi, Y.; Su, H.; Song, Y.; Jiang, W.; Sun, X.; Qian, W.; Zhang, W.; Gao, Y.; Jin, Z.; Zhou, J.; et al. Circulating tumor DNA predicts response in Chinese patients with relapsed or refractory classical hodgkin lymphoma treated with sintilimab. EBioMedicine 2020, 54, 102731. [Google Scholar] [CrossRef]
  167. Zhou, H.; Du, X.; Zhao, T.; Ouyang, Z.; Liu, W.; Deng, M.; He, Q.; Yi, Y.; Dai, L.; Yang, L.; et al. Distribution and influencing factors of tumor mutational burden in different lymphoma subtypes. J. Clin. Oncol. 2019, 37, e19053. [Google Scholar] [CrossRef]
  168. Marcus, L.; Fashoyin-Aje, L.A.; Donoghue, M.; Yuan, M.; Rodriguez, L.; Gallagher, P.S.; Philip, R.; Ghosh, S.; Theoret, M.R.; Beaver, J.A.; et al. FDA Approval Summary: Pembrolizumab for the Treatment of Tumor Mutational Burden–High Solid Tumors. Clin. Cancer Res. 2021, 27, 4685–4689. [Google Scholar] [CrossRef]
  169. Li, K.; Luo, H.; Huang, L.; Luo, H.; Zhu, X. Microsatellite instability: A review of what the oncologist should know. Cancer Cell Int. 2020, 20, 16. [Google Scholar] [CrossRef] [Green Version]
  170. Le, D.T.; Durham, J.N.; Smith, K.N.; Wang, H.; Bartlett, B.R.; Aulakh, L.K.; Lu, S.; Kemberling, H.; Wilt, C.; Luber, B.S.; et al. Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade. Science 2017, 357, 409–413. [Google Scholar] [CrossRef] [Green Version]
  171. Center for Devices and Radiological Health. List of Cleared or Approved Companion Diagnostic Devices (In Vitro and Imaging Tools); FDA: Silver Spring, MD, USA, 2019. Available online: https://www.fda.gov/medical-devices/in-vitro-diagnostics/list-cleared-or-approved-companion-diagnostic-devices-in-vitro-and-imaging-tools (accessed on 6 June 2023).
  172. Tian, T.; Li, J.; Xue, T.; Yu, B.; Li, X.; Zhou, X. Microsatellite instability and its associations with the clinicopathologic characteristics of diffuse large B-cell lymphoma. Cancer Med. 2020, 9, 2330–2342. [Google Scholar] [CrossRef]
  173. Wieczorek, M.; Abualrous, E.T.; Sticht, J.; Álvaro-Benito, M.; Stolzenberg, S.; Noé, F.; Freund, C. Major Histocompatibility Complex (MHC) Class I and MHC Class II Proteins: Conformational Plasticity in Antigen Presentation. Front. Immunol. 2017, 8, 292. [Google Scholar] [CrossRef] [Green Version]
  174. Hazini, A.; Fisher, K.; Seymour, L. Deregulation of HLA-I in cancer and its central importance for immunotherapy. J. Immunother. Cancer 2021, 9, e002899. [Google Scholar] [CrossRef]
  175. Rodig, S.J.; Gusenleitner, D.; Jackson, D.G.; Gjini, E.; Giobbie-Hurder, A.; Jin, C.; Chang, H.; Lovitch, S.B.; Horak, C.; Weber, J.S.; et al. MHC proteins confer differential sensitivity to CTLA-4 and PD-1 blockade in untreated metastatic melanoma. Sci. Transl. Med. 2018, 10, eaar3342. [Google Scholar] [CrossRef] [Green Version]
  176. Roemer, M.G.M.; Advani, R.H.; Redd, R.A.; Pinkus, G.S.; Natkunam, Y.; Ligon, A.H.; Connelly, C.F.; Pak, C.J.; Carey, C.D.; Daadi, S.E.; et al. Classical Hodgkin Lymphoma with Reduced β2 M/MHC Class I Expression Is Associated with Inferior Outcome Independent of 9p24.1 Status. Cancer Immunol. Res. 2016, 4, 910–916. [Google Scholar] [CrossRef] [Green Version]
  177. Weber, J.S.; Gibney, G.; Sullivan, R.J.; Sosman, J.A.; Slingluff, C.L.; Lawrence, D.P.; Logan, T.F.; Schuchter, L.M.; Nair, S.; Fecher, L.; et al. Sequential administration of nivolumab and ipilimumab with a planned switch in patients with advanced melanoma (CheckMate 064): An open-label, randomised, phase 2 trial. Lancet Oncol. 2016, 17, 943–955. [Google Scholar] [CrossRef] [Green Version]
  178. Autio, M.; Leivonen, S.-K.; Brück, O.; Mustjoki, S.; Jørgensen, J.M.; Karjalainen-Lindsberg, M.-L.; Beiske, K.; Holte, H.; Pellinen, T.; Leppä, S. Immune cell constitution in the tumor microenvironment predicts the outcome in diffuse large B-cell lymphoma. Haematologica 2020, 106, 718–729. [Google Scholar] [CrossRef] [Green Version]
  179. Leivonen, S.-K.; Pollari, M.; Brück, O.; Pellinen, T.; Autio, M.; Karjalainen-Lindsberg, M.-L.; Mannisto, S.; Kellokumpu-Lehtinen, P.-L.; Kallioniemi, O.; Mustjoki, S.; et al. T-cell inflamed tumor microenvironment predicts favorable prognosis in primary testicular lymphoma. Haematologica 2019, 104, 338–346. [Google Scholar] [CrossRef] [Green Version]
  180. Wu, H.; Tang, X.; Kim, H.J.; Jalali, S.; Pritchett, J.C.; Villasboas, J.C.; Novak, A.J.; Yang, Z.-Z.; Ansell, S.M. Expression of KLRG1 and CD127 defines distinct CD8+ subsets that differentially impact patient outcome in follicular lymphoma. J. Immunother. Cancer 2021, 9, e002662. [Google Scholar] [CrossRef]
  181. Nygren, L.; Wasik, A.M.; Baumgartner-Wennerholm, S.; Jeppsson-Ahlberg, Å.; Klimkowska, M.; Andersson, P.; Buhrkuhl, D.; Christensson, B.; Kimby, E.; Wahlin, B.E.; et al. T-Cell Levels Are Prognostic in Mantle Cell Lymphoma. Clin. Cancer Res. 2014, 20, 6096–6104. [Google Scholar] [CrossRef] [Green Version]
  182. Alonso-Álvarez, S.; Vidriales, M.B.; Caballero, M.D.; Blanco, O.; Puig, N.; Martin, A.; Peñarrubia, M.J.; Zato, E.; Galende, J.; Bárez, A.; et al. The number of tumor infiltrating T-cell subsets in lymph nodes from patients with Hodgkin lymphoma is associated with the outcome after first line ABVD therapy. Leuk. Lymphoma 2017, 58, 1144–1152. [Google Scholar] [CrossRef] [PubMed]
  183. Maimela, N.R.; Liu, S.; Zhang, Y. Fates of CD8+ T cells in Tumor Microenvironment. Comput. Struct. Biotechnol. J. 2019, 17, 1–13. [Google Scholar] [CrossRef] [PubMed]
  184. Li, F.; Li, C.; Cai, X.; Xie, Z.; Zhou, L.; Cheng, B.; Zhong, R.; Xiong, S.; Li, J.; Chen, Z.; et al. The association between CD8+ tumor-infiltrating lymphocytes and the clinical outcome of cancer immunotherapy: A systematic review and meta-analysis. eClinicalMedicine 2021, 41, 101134. [Google Scholar] [CrossRef] [PubMed]
  185. Hammond, S.M. An overview of microRNAs. Adv. Drug Deliv. Rev. 2015, 87, 3–14. [Google Scholar] [CrossRef] [Green Version]
  186. Fuertes, T.; Ramiro, A.R.; de Yebenes, V.G. miRNA-Based Therapies in B Cell Non-Hodgkin Lymphoma. Trends Immunol. 2020, 41, 932–947. [Google Scholar] [CrossRef]
  187. Volinia, S.; Calin, G.A.; Liu, C.-G.; Ambs, S.; Cimmino, A.; Petrocca, F.; Visone, R.; Iorio, M.; Roldo, C.; Ferracin, M.; et al. A microRNA expression signature of human solid tumors defines cancer gene targets. Proc. Natl. Acad. Sci. USA 2006, 103, 2257–2261. [Google Scholar] [CrossRef] [Green Version]
  188. Ji, Q.; Jiang, T.; Su, J.; Zhang, S.; Li, C.; Yang, X.; Wu, X.; Yao, J.; Yuan, D.; Wang, J. Serum miR-21 predicts the prognosis of patients with primary gastrointestinal diffuse large B-cell lymphoma. Acta Biochim. Pol. 2022, 69, 379–385. [Google Scholar] [CrossRef]
  189. Li, J.; Fu, R.; Yang, L.; Tu, W. miR-21 expression predicts prognosis in diffuse large B-cell lymphoma. Int. J. Clin. Exp. Pathol. 2015, 8, 15019–15024. [Google Scholar]
  190. Li, J.; Zhai, X.-W.; Wang, H.-S.; Qian, X.-W.; Miao, H.; Zhu, X.-H. Circulating MicroRNA-21, MicroRNA-23a, and MicroRNA-125b as Biomarkers for Diagnosis and Prognosis of Burkitt Lymphoma in Children. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 2016, 22, 4992–5002. [Google Scholar] [CrossRef] [Green Version]
  191. Mao, X.; Sun, Y.; Tang, J. Serum miR-21 is a diagnostic and prognostic marker of primary central nervous system lymphoma. Neurol. Sci. 2014, 35, 233–238. [Google Scholar] [CrossRef]
  192. Xi, J.; Huang, Q.; Wang, L.; Ma, X.; Deng, Q.; Kumar, M.; Zhou, Z.; Li, L.; Zeng, Z.; Young, K.H.; et al. miR-21 depletion in macrophages promotes tumoricidal polarization and enhances PD-1 immunotherapy. Oncogene 2018, 37, 3151–3165. [Google Scholar] [CrossRef]
  193. Gopalakrishnan, V.; Spencer, C.N.; Nezi, L.; Reuben, A.; Andrews, M.C.; Karpinets, T.V.; Prieto, P.A.; Vicente, D.; Hoffman, K.; Wei, S.C.; et al. Gut microbiome modulates response to anti–PD-1 immunotherapy in melanoma patients. Science 2018, 359, 97–103. [Google Scholar] [CrossRef] [Green Version]
  194. Matson, V.; Fessler, J.; Bao, R.; Chongsuwat, T.; Zha, Y.; Alegre, M.-L.; Luke, J.J.; Gajewski, T.F. The commensal microbiome is associated with anti–PD-1 efficacy in metastatic melanoma patients. Science 2018, 359, 104–108. [Google Scholar] [CrossRef] [Green Version]
  195. Liu, X.; Chen, Y.; Zhang, S.; Dong, L. Gut microbiota-mediated immunomodulation in tumor. J. Exp. Clin. Cancer Res. 2021, 40, 221. [Google Scholar] [CrossRef]
  196. Hwang, S.R.; Higgins, A.; Castillo Almeida, N.E.; LaPlant, B.; Maurer, M.J.; Ansell, S.M.; Witzig, T.E.; Thanarajasingam, G.; Bennani, N.N. Effect of antibiotic use on outcomes in patients with Hodgkin lymphoma treated with immune checkpoint inhibitors. Leuk. Lymphoma 2021, 62, 247–251. [Google Scholar] [CrossRef]
  197. Casadei, B.; Guadagnuolo, S.; Barone, M.; Turroni, S.; Argnani, L.; Brigidi, P.; Zinzani, P.L. Gut Microbiota Role in Response to Checkpoint Inhibitor Treatment in Patients with Relapsed/Refractory B-Cell Hodgkin Lymphoma: The MICRO-Linf Study. Blood 2021, 138, 2957. [Google Scholar] [CrossRef]
Table
Table 1. Currently approved PD-1 antibodies in lymphoma.
Table 1. Currently approved PD-1 antibodies in lymphoma.
TargetNamePharmaceutical CompanyIsotypeApproval StatusYear Indication
PD-1Nivolumab (Opdivo®)Bristol-Myers SquibbIgG4 S228PFDA/EMA [19,20]2018, cHL
Pembrolizumab (Keytruda®)MerckIgG4 S228PFDA/EMA [21,22,23]2018, cHL, PMBCL
Tislelizumab (BGB-A317)BeiGeneIgG4mut, FcyR nullChina NMPA [24]2019, cHL
Camrelizumab (AiRuiKa™)HengruiIgG4 S228PChina NMPA [25]2019, cHL
Sintilimab (Tyvyt®)Innovent Biologics,
Eli Lilly		IgG4 κChina NMPA [26]2018, cHL
Zimberelimab (AB122)Gloria Biosciences, Arcus Biosciences, Taiho Pharmaceutical CoIgG4China NMPA [27]2021, cHL
Penpulimab (AK105)Akeso BiopharmaIgG1, FcyR nullChina NMPA [28]2021, cHL
Abbreviations: cHL, classical Hodgkin lymphoma; FDA, Food and Drug Administration; EMA, European Medicines Agency; NMPA, National Medical Products Administration; PMBCL, primary mediastinal B cell lymphoma.
Table
Table 2. PD-1/PDL-1 ICB monotherapy prospective studies by lymphoma subtype.
Table 2. PD-1/PDL-1 ICB monotherapy prospective studies by lymphoma subtype.
Lymphoma SubtypeStudiesNStudy PopulationTherapyORR (%)CR (%)Median PFS
(Months)		Median OS (Months)Median Follow-Up (Months)Specificities
Classical Hodgkin lymphomaAnsell 2015, [11,29], Phase 123R/R (prior ASCT or allo-SCT)Nivolumab 3 mg/kg q2wks *8717NR † (86% at 6 months)NR †21.5
Maruyama 2017, 2020, [30,31],
Phase 2		17R/R (prior ASCT and BV)Nivolumab 3 mg/kg q2wks *883111.7
(60% at 6 months)		NR (80% at 3 years)38.8
KEYNOTE-013, Armand 2016, 2020 et al., [21,32], Phase 2B31R/R after BV failurePembrolizumab 10 mg/kg q2wks *581911.4 (30% at 2 years)NR (81% at 3 years)52.8
CheckMate 205, Younes 2016, Armand 2018, Ansell 2021, [10,20,36,37],
Cohorts A, B, C, Phase 2		243R/R after:
A. ASCT (n = 63)
B. ASCT + BV (n = 80)
C. BV + ASCT ± BV (n = 100)		Nivolumab 3 mg/kg q2wks *712115 (18% at 5 years)NR (71% at 5 years)58
KEYNOTE-087, Ansell 2017, Chen 2019, Chen 2021, [12,22,38], Phase 2210R/R after:
A. ASCT + BV (n = 69)
B. Salvage chemo + BV (n = 89) (ineligibility for SCT owing to chemorefractory disease)
C. ASCT (n = 60)		Pembrolizumab 200 mg q3wks *712813.7 (14% at 5 years)NR (71% at 5 years)62.9
KEYNOTE-204, Kuruvilla 2021, [35], Phase 3304R/R (ineligible or relapsed after ASCT)Pembrolizumab 200 mg q3wks versus BV 1.8 mg/kg q3wks *Pembrolizumab: 66
BV: 54		Pembrolizumab: 25
BV: 24		13.2 (for pembrolizumab) 8.3 (for BV)NA25.7
JAVELIN Hodgkin trial, Herrera 2021, [39], Phase 1B31R/R (ineligible or relapsed after ASCT)Avelumab with four dose levels and two dosing schedules (q2wks or q3wks)42195.7 (18% at 1 year)NANADose levels/schedules: 70, 350 and 500 mg q2wks; 500 mg q3wks; 10 mg/kg q2wks
Song 2019, Song 2022, [24,40], Phase 270R/R (ineligible or relapsed after ASCT)Tislelizumab 200 mg q3wks *876731.5 (41% at 3 years)NR (85% at 3 years)33.8
Song 2019, Wu 2021, [25,41], Phase 275R/R (ineligible or relapsed after ASCT)Camrelizumab 200 mg q2wks *762822.5 (67% at 1 year)NR (83% at 3 years)36.2
Nie 2019, Liu 2021, [42,43], Cohort 1,
Phase 2		19R/R after more than 2 therapy lines, anti-PD-1 naïveCamrelizumab 200 mg q3wks monotherapy *903215.5 (42% at 2 years)NR (63% at 2 years)34.5
ORIENT-1, Shi 2019, Su 2020, [26,44],
Phase 2		96R/R after more than 2 therapy lines (including ASCT)Sintilimab 200 mg q2wks *802918.6 (78% at 6 months)NR (96% at 2 years)26.7
Armand 2019, [45], Phase 230R/R after ASCTPembrolizumab 200 mg q3wks × 8 cycles as maintenance after ASCTNANANR (82% at 18 months)NR (100% at 18 months)NA
Song 2022, [28], Phase 1/285R/R (including ASCT)Penpulimab 200 mg q2wks * (maximum of 24 months)8947NR (72% at 1 year)NR (100% at 18 months)15.8
Lin 2022, [27], Phase 285R/R (including ASCT)Zimberelimab (GLS-010) q2wks * (maximum of 24 months)9133NR (78% at 1 year)NR (99% at 1 year)15.8
Follicular lymphoma Barraclough 2019, Hawkes 2021, [46,47],
Phase 2		39Newly diagnosed, stage III-IV, grade 1-3a FLNivolumab 240 mg 2-weekly × 4 cycles
If CR: N 240 mg monotherapy × 4 cycles, maintenance N 480 mg 4-weekly × 12 cycles
If < CR: N 240 mg + rituximab 375mg/m2 2-weekly × 4 cycles, maintenance N+R (N 480 mg 4 weekly ×12 cycles; R 12 weekly × 8 cycles).		9254NR (72% at 1 year)NR (96% at 1 year)17.5
CheckMate 140, Armand 2021, [48],
Phase 2
R/R		92R/R (after failure of at least 2 prior lines of therapy)Nivolumab 3 mg/kg q2wks *412.2NANA12-months minimal follow-up
Diffuse large B-cell lymphomaAnsell 2019, [49],
Phase 2		121R/R (ineligible or relapsed after ASCT)Nivolumab 3 mg/kg q2wks *10 (all groups)
‡		3 (all groups)
§		ASCT failed (n = 87): 1.9
ASCT ineligible (n = 34): 1.4		ASCT failed (n = 87): 12.2
ASCT ineligible (n = 34): 5.8		ASCT failed: 9
ASCT ineligible: 6
Primary mediastinal B-cell lymphomaKEYNOTE-013, Zinzani 2017, Armand 2019, [14,50]
Phase 1B		21R/R PMBCLPembrolizumab 10 mg/kg (n = 11) 200 mg (n = 10) q3wks *483310.431.429.1
KEYNOTE-170, Armand 2019, [14]
Phase 2		53R/R PMBCLPembrolizumab 200 mg q3wks *45135.5NR12.5
Extranodal natural killer/T-cell lymphomasKim 2020, [51],
Phase 2		21R/R ENKTLAvelumab 10 mg/kg q2wks *38242.7NR15.7Response significantly associated with the expression of PD-L1 by tumor tissue
ORIENT-4, Tao 2021, [52],
Phase 2		28R/R ENKTLSintilimab 200 mg q3wks *7521NANR (79% at 2 years)30.4
Hematologic malignanciesLesokhin 2016, [53],
Phase 1		81R/R B-cell lymphoma, TCL, MM (inclusive after ASCT)Nivolumab 1 or 3 mg/kg q2wks *FL (n = 10): 40
DLBCL (n = 11): 36
TCL (n = 23): 17
MM (n = 27): 4		FL (n = 10): 10
DLBCL (n = 11): 18
TCL (n = 23): 0
MM (n = 27): 4		FL (n = 10): NR
DLBCL (n = 11): 7
TCL (n = 23): 10
MM (n = 27): 10		NA16.7
Frigault 2020, [54],
Phase 2		29R/R DLBCL + PMBCL after ASCT as maintenancePembrolizumab 200 mg q3wks × 8 cyclesN/A59% at 18 monthsNR (59% at 18 months)NR
(93% at 18 months)		NA
Davids 2020, [55],
Phase 1		28Relapsed hematologic malignancies after allo-SCTNivolumab 0.5–3 mg/kg q2wks *2943.721.411
Ding 2017, [56],
Phase 2		25Relapsed or progressive CLL (n = 16) + CLL with RT (n = 9)Pembrolizumab 200 mg q3wks *CLL: 0
RT: 44		CLL: 0
RT: 11		CLL: 2.4
RT: 5.4		CLL: 4.3
RT: NR		11
Khodadoust 2020, [57],
Phase 2		24R/R MF (n = 9) and SS (n = 15)Pembrolizumab 2 mg/kg q3 wks #MF: 56
SS: 27		MF: 0
SS: 7		MF: 12
SS: 12		MF: NR
SS: NR		NA
Chong 2018, [58],
Phase 1/2		12R/R B-cell NHL after CAR T-cell therapyPembrolizumab 200 mg q3wks *279NANANA
iMATRIX, Geoerger 2020, [59],
Phase 1/2		90 (n = 18 between 18–29 years)R/R solid tumors, HL (n = 9), NHL (n = 3)Atezolizumab 15 mg/kg (<18 years) or 1200 mg (18–29 years) q3wks *4.6NA1.37.46.8Patients < 30 years
FUSION NHL 001 trial, Casulo 2023, [60], Arm D, Phase 127R/R CLL/SLL (n = 2), FL (n = 5), DLBCL (n = 10), MCL (n = 5), HL (n = 5)Durvalumab 1500 mg q4wksNRNRCLL/SLL: 2.8
FL: 1.7
DLBCL: 1.2 MCL: 2.3
HL: 2.7		CLL/SLL: NR
FL: 2.9
DLBCL: 1.6 MCL: 13.6
HL: 23.8		23.3
* Until progression or unacceptable toxicity; † PFS and OS are data of the first article with the 10-month follow-up. ‡ ORR within groups: ASCT failed (n = 87): 9; ASCT ineligible (n = 34): 1; § CR within groups: ASCT failed (n = 87): 3; ASCT ineligible (n = 34): 0; # until progression or unacceptable toxicity or investigator choice. Abbreviations: allo-SCT, allogeneic stem cell transplantation; ASCT, autologous stem cell transplantation; BV, brentuximab-vedotin; cHL, Hodgkin lymphoma; CLL, chronic lymphocytic leukemia; CMR, complete metabolic response; CR; complete response; DLBCL, diffuse large B-cell lymphoma; ENKTL, extranodal natural killer/T-cell lymphomas; FL, follicular lymphoma; MF, mycosis fungoid; MM, multiple myeloma; N, nivolumab; NA, no data available; NHL, non-Hodgkin lymphoma; NR, not reached; PCNSL, primary central nervous system lymphoma; PMBCL, primary mediastinal B-cell lymphoma; q2wks, every two weeks; q3wks, every three weeks; RT, Richter transformation; SS, Sézary syndrome; TCL, T-cell lymphoma.
Table
Table 3. PD-1/PDL-1 ICB combination prospective studies by lymphoma subtype.
Table 3. PD-1/PDL-1 ICB combination prospective studies by lymphoma subtype.
Lymphoma SubtypeStudiesNStudy PopulationTherapyORR (%)CR (%)Median PFS
(Months)		Median OS (Months)Median Follow-up (Months)Specificities
Classical Hodgkin lymphomaCheckMate 205, Ramchandren 2019, [61] Cohort D, Phase 251Untreated advanced-stageNivolumab 240 mg q2wks × 4 doses followed by nivolumab-AVD × 6 cycles8467NR (92% at 9 months)NR (98% at 9 months)11.1
NIVAHL Trial, Bröckelmann 2022, [62], Phase 2109Untreated early-stage and unfavorableGroup 1: nivolumab 240 mg q2wks + AVD × 4 cycles
Group 2:
nivolumab × 4 cycles monotherapy, nivolumab-AVD × 2 cycles, AVD only × 2 cycles, followed by 30 Gy involved-site radiotherapy		9687NA
1: 100% at 1 year
2: 98% at 1 year		NA
1: 100% at 1 year
2: 100% at 1 year		13
Cheson 2020, [67]
Phase 2		46Untreated, >60 years old or younger and ineligible for chemotherapyNivolumab 3 mg/kg + BV 1.8 mg/kg q3wks × 8 cycles614818.3NR21.2
Allen 2021, [63],
Phase 2		30Untreated early unfavorable and advanced-stagePembrolizumab 200 mg q3wks for 3 cycles, AVD × 4–6 cycles100NANRNR22.5
Nie 2019, Liu 2021 et al., [42,43], Cohort 1 combination, Phase 267R/R after more than 2 therapy linesCohort 1 combination; anti-PD-1 naïve:
(n = 42): decitabine (10 mg/d, days 1 to 5) plus camrelizumab 200mg q3wks *
Cohort 2 (n = 25); anti-PD-1 resistant: decitabine plus camrelizumab *		1: 95
2: 52		1: 71
2: 28		1: 89% at 1 year
2: 59% at 1 year		1: 63% at 2 years2: NA34.5
Herrera 2019, Mei 2022, [68,69],
Phase 2		43R/R first salvage therapy and bridge to ASCTNivolumab 3 mg/kg q2wks × 6 cycles +/− ICE. PET-CT after C3 and C6. After C6, pts in CR: ASCT, not in CR: N-ICE for 2 cycles9391NA
(72% at 2 years)		NA (95% at 2 years)NAAmong 9 patients who received N-ICE: ORR 100%, CR 89%
Bryan 2021, [70],
Phase 2		42R/R prior to ASCTPembrolizumab 200mg q2wks + ICE × 2 cycles, stem cell mobilization/collection, pembrolizumab 200 mg × 1 cycle97NA26.9 (88% at 2 years)NR
(95% at 2 years)		27
Diefenbach 2020, [71], Phase 1/264R/RBV 1.8 mg/kg + ipilimumab 3 mg/kg or nivolumab 3 mg/kg or nivolumab 3 mg/kg and ipilimumab 1 mg/kg *BV + Ipi76 BV + Nivo89 BV + Ipi/Nivo82BV + Ipi57BV + Nivo61BV + Ipi/Nivo73BV + Ipi14.4 (61% at 1 year)BV + NivoNR (70% at 1 year)BV + Ipi/NivoNR (80% at 1 year)NRBV + Ipi: 31.2
BV + Nivo: 28.8
BV + Ipi/Nivo: 20.4
Sermer 2020, Sermer 2021, [72,73], Phase 222R/R (heavily pretreated, previous ICB therapy accepted)Entinostat 5–7 mg orally q1wks + pembrolizumab 200mg q3wks8645NA (72% at 1 year)NA8.4
Lepik 2020, [74],
Phase 2		30R/R after nivolumab monotherapyNivolumab 3 mg/kg on D1, 14 + bendamustine (90 mg/m2) on D1, 2 of a 28-day cycle for up to 3 cycles875710.2 (23% at 2 years)NA
(97% at 2 years)		25
Herrera 2018, Advani 2021, [75,76] Phase 1/262R/R in initial salvage therapy before ASCTBV + nivolumab 3 mg/kg q3wks × 4 cycles8261NR (77% at 3 years)NR (93% at 3 years)34.3
Moskowitz 2021, [77], Phase 238R/R after first-line therapy, prior to ASCTPembrolizumab 200 mg + GVD q3wks × 2–4 cycles10095NANA13.5
Ansell 2019, Bartlett 2020, [78,79], Phase 1B24R/R, CD30-positive, 3–7 prior lines of therapy including BVPembrolizumab 200 mg q3wks + AFM13 dose escalation schedules8337NA (77% at 6 months)NANA
Dave 2022, [80],
Phase 1		10R/R inclusive after ASCT, allo-SCT, BV, prior ICB) (n = 8 active disease, n = 2 adjuvant after ASCT)TAA-Ts + nivolumab
in 6 patients *		 1 CR
7 SD at 3 months		 41 (adjuvant arm) and 12.6 (active disease arm)Nivolumab priming impacted TAA-T recognition and persistence.
CheckMate 039, Ansell 2016, Armand 2021, [19,81],
Phase 1B		52R/R after ≥2 prior lines of therapy, independent of ASCTNivolumab 3 mg/kg + ipilimumab 1 mg/kg q3wks or nivolumab 3 mg/kg + lirilumab 3 mg/kg q4wks *Nivo/Ipi: (n = 31)
74 Nivo/Liri (n = 21): 76		Nivo/Ipi: (n = 31)
23 Nivo/Liri: (n = 21):24		Nivo/Ipi: NR
Nivo/Liri:
NR		NANivo/Ipi: 18
Nivo/Liri: 11
Timmerman 2022, [82], Phase I/II (cohort 2)29R/R after anti-PD-1 therapyFavezelimab 800mg q3wks + pembrolizumab 20mmg q3wks for up to 35 cycles3179 (39% at 1 year)26 (91% at 1 year)N/A
Follicular lymphomaYounes 2017, Younes 2022, [83,84]
Phase 1/2		40FL grade 1, 2 or 3a disease requiring therapyObinutuzumab 1000 mg on days 1, 8 and 15 of cycle 1 and day 1 of cycles 2–6, bendamustine 90 mg/m2 on days 1 and 2 of cycles 1–6 and atezolizumab 840 mg on days 1 and 15 of cycles 2–6 (28-day cycles).
Maintenance in pts with CR or PR consisted of obinu 1000 mg on day 1 of every other month and atezo 840 mg on days 1 and 2 of each month *		NA75%NA (81% at 3 years)NA (89% at 3 years)40.4Grade 5 (fatal) adverse events reported in five patients
Westin 2014, [85],
Phase 2		30Relapsed FL rituximab sensibleRituximab 375 mg/m2 weekly for 1 cycle + pidilizumab 3 mg/kg q4wks for 12 doses665218.8NA15.4
Nastoupil 2017, Nastoupil 2022, [86,87],
Phase 2		30Relapsed FL rituximab sensiblePembrolizumab 200 mg q3wks for up to 16 cycles + rituximab 375 mg/m2 weekly for 1 cycle675012.6NR (97% at 3 years)35
Morschhauser 2021, [88],
Phase 1B/2		32R/R FL (grade 1–3a)Obinutuzumab 1000 mg + atezolizumab 840 mg + lenalidomide 15mg (in the expansion phase) or 20 mg
× 6 cycles, if CR/PR/SD maintenance*		78 (at the end of the induction)72 (at the end of the induction)NA (68% at 3 years)NA (90% at 3 years)30 (lenalidomide 15 mg)
14.2 (lenalidomide 20 mg)
Diffuse large B-cell lymphomaYounes 2018, Younes 2019,
[89,90],
Phase 1/2		40Untreated advanced DLBCLAtezolizumab 1200mg q3wks + R-CHOP × 8 cyclesNA78NA (75% at 2 years)NA (86% at 2 years)21.3
Smith 2020, [91],
Phase 1		30Untreated DLBCL or grade 3b FLPembrolizumab 200 mg + R-CHOP q3wks × 6 cycles9077NA (83% at 2 years)NA (84% at 2 years)25.5
Nowakowski 2022, [92],
Phase 2		37High-risk DLBCL (IPI ≥ 3/NCCN-IPI ≥ 4)Durvalumab 1125mg q3wks+ R-CHOP × 6–8 cycles, then durvalumab consolidation *9768NA (68% at 1 year)NANA
Palomba 2022,
[93],
Phase 1B		43R/R DLBCLAtezolizumab 1200 mg + tazemetostat 800 mg orally twice daily q3wks16721323.7
ZUMA 6, Jacobson 2020, [94],
Phase 1/2		28R/R DLBCLAtezolizumab 1200mg + KTE-C19 (axi-cel)7546NRNR10.2
PORTIA trial, Jäger 2021, [95],
Phase 1B		12R/R DLBCLPembrolizumab q3wks for up to 6 doses either days +15, +8 or –1 of tisagenlecleucelDays + 15: 50
Days + 825 Days-1
25		Days + 15: 0
Days + 8 25
Days-1
25		NANA4
Witzig 2019, [96],
Phase 1/2		61R/R DLBCLPembrolizumab 200 mg q3wks + acalabrutinib 100 mg BID *2671.9NANA
Alexander trial, Osborne 2020, [97],
Phase 1		29R/R DLBCLPembrolizumab 200 mg q3wks + AUTO3 (bispecific CAR T targeting CD19/22)6952NANANA
Primary mediastinal B-cell lymphomaCheckMate 436, Zinzani 2019, Zinzani 2021, [98,99],
Phase 2		30R/R PMBCLNivolumab 240 mg and BV 1.8 mg/kg q3wks *733726 (56% at 1 and 2 years)NR (76% at 2 years)11.1
Multiple hematologic malignanciesCheckMate 039, Ansell 2016, Armand 2021, [19,81],
Phase 1B		78R/R hematologic malignancies (≥2 prior lines of therapy) independent of ASCTNivolumab 3 mg/kg + ipilimumab 1 mg/kg q3wks or nivolumab 3 mg/kg + lirilumab 3 mg/kg q4wks *N/I: B-NHL (n = 16)
19
T-NHL (n = 11): 9
N/L B-NHL (n = 32): 13
T-NHL (n = 11): 22		N/I: B-NHL(n = 16)6
T-NHL (n = 11): 0
N/L B-NHL (n = 32):3
T-NHL (n = 11): 0		N/I: B-NHL(n = 16)
1
T-NHL (n = 11): 2
N/L B-NHL (n = 32): 1
T-NHL (n = 11): 6		NAN/I: 18
N/L: 11
Younes 2019, [100],
Phase 1/2A		141R/R CLL, SLL, FL, DLBCLIbrutinib + nivolumab 3 mg/kg q2wks *CLL/SLL (n = 36):61, FL (n = 40):33, DLBCL (n = 45):36RT (n = 20):65CLL/SLL (n = 36):0
FL (n = 40):10DLBCL (n = 45):16
RT (n = 20): 10		CLL/SLL (n = 36): NR
FL (n = 40):9.1 DLBCL (n = 45):2.6RT (n = 20): 5.0		CLL/SLL (n = 36): NR
FL (n = 40):NR
DLBCL (n = 45):13.5RT (n = 20): 10.3		19.7
Palomba 2022, [101],
Phase 1B		49R/R FL + R/R DLBCLAtezolizumab 1200 mg + obinutuzumab 1000 mgFL (n = 26): 54
DLBCL (n = 23): 17		FL (n = 26): 23
DLBCL (n = 23): 4		FL (n = 26): 9
DLBCL (n = 23): 3		FL (n = 26): NA
DLBCL (n = 23): 9		NA
Jain 2016, Jain 2018, [102,103], Cohort 1,
Phase 2		28R/R FL + RTNivolumab 3 mg/kg q2wks × 24 cycles + ibrutinib 420 mg *FL (n = 5): 60
RT (n = 23): 43		FL (n = 5): 0
RT (n = 23): 35		FL (n = 5): NR
RT (n = 23): NA		FL (n = 5): NR
RT (n = 23): 13.8		NA
LYSA trial, Herbaux 2020, Herbaux 2021, [104,105],
Phase 2		136R/R DLBCL (cohort 1) and R/R iNHL (FL + MZL) (cohort 2)Obinutuzumab 1 g × 8 cycles + atezolizumab 1.2 g q3wks × 24 cycles + venetoclax 800 mg/day (on D8) × 24 cyclesDLBCL (n = 58):
24
FL (n = 58):
54
MZL (n = 20): 67		DLBCL (n = 58):
18
FL (n = 58):
30
MZL (n = 20):
17		NANADLBCL: 9FL: 14.5
MZL: 11.9
Hutchings 2019, [106],
Phase 1B		36R/R B- NHL (DLBCL, transformed FL, MCL, PMBCL, LPL, iNHL)Atezolizumab 1200 mg + CD-20-TCB antibody (RG6026) q3wks3617NANANAOngoing trial
KEYNOTE-155, Gregory 2022, [107],
Phase 1B		72R/R hematologic malignanciesPembrolizumab 200 q3wks + dinaciclib (dose escalation) *CLL (n = 17): 29 DLBCL (n = 38): 21 MM (n = 17): 0CLL (n = 17): 0
DLBCL (n = 38): 11MM (n = 17): 0		CLL (n = 17): 5.2 DLBCL (n = 38): 2.1 MM (n = 17): 1.6CLL (n = 17): 21.7 DLBCL (n = 38): 7.9 MM (n = 17): 10.5NADinaciclib dose levels (7 mg/m2, 10 mg/m2, 14mg/m2)
Herrera 2020, [108],
Phase 1/2		61R/R FL + R/R DLBCLDurvalumab 10 mg/kg q2wks + ibrutinib 560 mg once daily (dosing according to phase 1B) *FL (n = 29): 26
Non-GCB DLBCL (n = 16): 38
GCB-DLBCL (n = 16): 13		FL (n = 29): 4
Non-GCB DLBCL (n = 16): 31
GCB-DLBCL (n = 16): 6		FL (n = 29): 10.2
Non-GCB DLBCL (n = 16): 4.1
GCB-DLBCL (n = 16): 2.9		FL (n = 29): NR
Non-GCB DLBCL (n = 16): 7.3
GCB-DLBCL (n = 16): 5.5		FL: 17
DLBCL: 17.5
Hirayama 2020, [109],
Phase 1		13R/R B-cell NHLDurvalumab dose escalation up to 10 doses + JCAR014 (CD19-specific 4-1BB-costimulated CAR T cells)5042NANANADurvalumab dose escalation ongoing
Panayiotidis 2022, [110],
Phase 2		55R/R MCL, WM, MZLAtezolizumab + obinutuzumab (MCL + WM) or rituximab (MZL)MCL (n = 30): 17
WM (n = 4): 0
MZL (n = 21): 43		NANANANA
Sang 2022, [111],
Phase 2		12R/R CD30+ lymphoma (9 cHL, 1 angioimmunoblastic T-cell lymphoma (AITL), 2 gray zone lymphoma)Cohort 1: 106/kg of CD30 CAR Ts Cohort 2: 107/kg of CD30 CAR Ts
Cohort 3: 107/kg of CD30 CAR Ts + anti-PD-1 antibody q3wks starting 14 days after CAR T-cell infusion †		92
(Cohorts 1 and 2: 86%;
Cohort 3: 100%)		70 (Cohorts 1 and 2: 27%; Cohort 3: 80%)457021.5Anti-PD-1 treatment not mentioned
FUSION NHL 001 trial, Casulo 2023, [60], Arm A, B, C, Phase 1/234Arm A: B-cell NHL (n = 14)
Arm B: B-cell NHL/CLL (n = 7)
Arm C: B-cell NHL/CLL (n = 13)		Durvalumab 1500mg q4wks +
Arm A: Len 20mg, Len 20 or 10 mg +/− R
Arm B: Ibr 420 (CLL/SLL) or 560mg (MCL)
Arm C: Ben 70mg + R (FL, DLBCL, CLL/SLL)		Arm A: 66.7, 66.7, 80
Arm B: 100, 70
Arm C: 88.9, 30, 50		Arm A: 33.3, 33.3, 20
Arm B: 0, 30
Arm C: 44.4, 10, 25		Arm A: 8.4, NA, NA
Arm B: CLL/SLL: NA
MCL: NA
Arm C:
FL: 14.7
DLBCL 2.1
CLL/SLL: NA		Arm A: NA, NA, NA
Arm B: CLL/SLL: NA
MCL: NA
Arm C:FL: NA
DLBCL 5.1
CLL/SLL: NA		Arm A: 23Arm B: 23.3
Arm C: 14.8		Arm A: no dose-confirmation cohort
* Until progression or unacceptable toxicity. † Sequential HSCT was performed in part on patients; second infusion of CD30 CAR Ts allowed if PD after first treatment or after ASCT. Abbreviations: ASCT, autologous stem cell transplantation; doxorubicin, vinblastine, dacarbazine; Ben, bendamustine; CHOP, cyclophosphamide, hydroxyadriamycine, vincristine, prednisone; CR, complete remission; DLBCL, diffuse large B-cell lymphoma; FL, follicular lymphoma; GVD, gemcitabine, vinorelbine, liposomal doxorubicin; HL, Hodgkin lymphoma; HSCT, hematopoietic stem cell transplantation; Ibr, ibrutinib; ICE, ifosfamide, carboplatine, etoposide; iNHL, indolent non-Hodgkin lymphoma; I, ipilimumab; Len, lenalidomide; L, lirilumab; MCL, mantle cell lymphoma; MZL, marginal zone lymphoma; N, nivolumab; NA, no data available; NR, not reached; PD, progressive disease; PMBCL, primary mediastinal B-cell lymphoma; PR, partial response; q2wks, every two weeks; q3wks, every three weeks; R, rituximab; TAA-Ts, tumor-associated antigen-specific T cells; TCB, T-cell-engaging bispecific; WM, Waldenström’s macroglobulinemia.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Perdikis-Prati, S.; Sheikh, S.; Bouroumeau, A.; Lang, N. Efficacy of Immune Checkpoint Blockade and Biomarkers of Response in Lymphoma: A Narrative Review. Biomedicines 2023, 11, 1720. https://doi.org/10.3390/biomedicines11061720

AMA Style

Perdikis-Prati S, Sheikh S, Bouroumeau A, Lang N. Efficacy of Immune Checkpoint Blockade and Biomarkers of Response in Lymphoma: A Narrative Review. Biomedicines. 2023; 11(6):1720. https://doi.org/10.3390/biomedicines11061720

Chicago/Turabian Style

Perdikis-Prati, Sarah, Semira Sheikh, Antonin Bouroumeau, and Noémie Lang. 2023. "Efficacy of Immune Checkpoint Blockade and Biomarkers of Response in Lymphoma: A Narrative Review" Biomedicines 11, no. 6: 1720. https://doi.org/10.3390/biomedicines11061720

APA Style

Perdikis-Prati, S., Sheikh, S., Bouroumeau, A., & Lang, N. (2023). Efficacy of Immune Checkpoint Blockade and Biomarkers of Response in Lymphoma: A Narrative Review. Biomedicines, 11(6), 1720. https://doi.org/10.3390/biomedicines11061720

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop