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Review

Mucin1 and Mucin16: Therapeutic Targets for Cancer Therapy

1
Department of Convergence Medicine, Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea
2
Center for Theragnosis, Biomedical Research Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Korea
*
Authors to whom correspondence should be addressed.
Pharmaceuticals 2021, 14(10), 1053; https://doi.org/10.3390/ph14101053
Submission received: 29 September 2021 / Revised: 13 October 2021 / Accepted: 14 October 2021 / Published: 17 October 2021
(This article belongs to the Special Issue Anticancer Drugs 2021)

Abstract

:
The mucin (MUC) family is a group of highly glycosylated macromolecules that are abundantly expressed in mammalian epithelial cells. MUC proteins contribute to the formation of the mucus barrier and thus have protective functions against infection. Interestingly, some MUC proteins are aberrantly expressed in cancer cells and are involved in cancer development and progression, including cell growth, proliferation, the inhibition of apoptosis, chemoresistance, metabolic reprogramming, and immune evasion. With their unique biological and structural features, MUC proteins have been considered promising therapeutic targets and also biomarkers for human cancer. In this review, we discuss the biological roles of the transmembrane mucins MUC1 and MUC16 in the context of hallmarks of cancer and current efforts to develop MUC1- and MUC16-targeted therapies.

1. Introduction

Mucins are large and highly glycosylated proteins that provide hydration and lubrication to the epithelial luminal surface of body duct, including the gastrointestinal, respiratory, and reproductive tracts. Mucins also act as a physical barrier against various pathogens in the epithelium [1,2]. Mucins are classified into two types: secreted or transmembrane (membrane-bound) mucins. Secreted mucins are comprised of gel-forming and non-gel-forming mucins, and include MUC2, MUC5AC, MUC5B, MUC6, MUC7, MUC8, MUC9 (OVGP1), and MUC19. Transmembrane mucins, comprising a single membrane-spanning domain and a cytoplasmic domain, have been identified as MUC1, MUC3A, MUC3B, MUC4, MUC12, MUC13, MUC14 (endomucin), MUC15, MUC16, MUC17, MUC20, MUC21 (epiglycanin), and MUC22 [3,4].
MUC1 was the first mucin to be identified [5]. After its initial identification in human pancreatic cancer [6,7], MUC1 expression has been detected in most epithelial cells [8]. In addition, it has been reported that MUC1 is overexpressed in a variety of cancer tissues including in pancreatic, breast, ovarian, lung, and colon carcinomas [9]. The aberrant expression of MUC1 can induce a loss of polarity of epithelial cells and altered downstream signals through its cytoplasmic domain [2,10]. Ectopically expressed MUC1 in rat fibroblasts induces their cellular transformation and tumor formation in the mouse [11]. In addition, a series of findings have indicated that MUC1 is an attractive target for anti-cancer treatment [12,13,14,15].
MUC16 (also known as carbohydrate antigen 125, CA125) is the largest transmembrane mucin and is normally expressed in the epithelium of the upper respiratory tract, ocular surface, mesothelium lining body cavities (pleural, peritoneal, and pelvic cavities), internal organs, and male and female reproductive organs [16,17,18]. Since MUC16 is known to be overexpressed on the surface of ovarian cancer cells and cleaved/shed into blood, it is a well-established serum biomarker for ovarian cancer [19]. Even though signaling pathways via the MUC16 cytoplasmic domain are largely unknown, a strong correlation between the serum CA125/MUC16 level and ovarian cancer prognosis also suggests that MUC16 is a potential therapeutic target for the treatment of ovarian cancer [20].
A variety of therapeutic agents have been explored to target onco-mucins for cancer treatment. The extracellular domain of membrane-bound mucins on the surface of cancer cells can be a potential target for monoclonal antibody-based cancer therapeutics [21,22]. It is also feasible to modulate signaling pathways directly through the cytoplasmic domain of mucins or to boost the host immune reaction against tumor via vaccinations with mucin antigens [22]. The purpose of this review is to summarize both intrinsic and extrinsic roles of MUC1 and MUC16 in modulating tumorigenesis and the recent advances made in exploiting the therapeutic potential of these transmembrane mucins.

2. Transmembrane Mucin Structure

2.1. Core Structural Characteristics

Transmembrane mucins are type I membrane proteins with a single membrane span. Their N-terminal extracellular region comprises a tandem-repeat (TR) domain, SEA (sea urchin sperm protein enterokinase and agrin) domain, and/or an EGF (epidermal growth factor)-like domain [2]. The TR domain contains a variable number of repeated amino acid sequences and is rich in serine, threonine, and proline (S/T/P). These S/T/P residues are the sites for O-linked N-acetylgalactosamine (GalNAc) addition to initiate further N-linked glycosylation chain reactions [23]. The TR domain underlies the physical and chemical features of these molecules, such as lubrication or immune protection, due to its highly glycosylated structure. The SEA domain has a highly conserved cleavage site located close to the outside of the cell membrane. Proteolytic cleavage of transmembrane mucins divides them into an N-terminal subunit containing an extracellular TR and C-terminal subunit harboring the transmembrane and cytoplasmic domains. These two subunits can form a non-covalent and stable complex [10]. The EGF-like domain shares sequence homology with growth factors such as EGF or cytokines and interacts with growth factor receptors such as the ErbB receptor [24]. The cytoplasmic domain of transmembrane mucins is relatively short. Due to the presence of known protein-binding motifs and tyrosine residues for phosphorylation, this domain is considered to have a role in signal transduction. The specific structures of MUC1 and MUC16 are described below in more detail.

2.2. Structure of MUC1

MUC1, also known as EMA (tumor-associated epithelial membrane antigen) or CD227, is a large, glycosylated protein with expected molecular weights ranging from 120 to 500 kDa, depending on the glycosylation status. A variable number tandem repeat (VNTR) domain in MUC1 consists of 20–125 repeats of a 20 amino acid sequence (PAPGSTAPPAHGVTSAPDTR). MUC1 also contains a 110 amino acid long single SEA, short transmembrane region, and 74 amino acids of cytoplasmic region (Figure 1A). Its cytoplasmic domain has several short (4~9 amino acid long) protein-binding motifs that facilitate its interaction with GSK3β (glycogen synthase kinase 3 beta), β-catenin, GRB2 (growth factor receptor-bound protein 2), SRC, and ESR1 (estrogen receptor 1) [25,26,27,28,29,30]. It also possesses a p53 binding region, which is a relatively long 37 amino acid sequence [31]. MUC1 has several isoforms, some of which do not have TR regions, such as the J13 or Y variants [32,33,34].

2.3. Structure of MUC16

MUC16 is the largest transmembrane mucin and comprises ~14,000 amino acids with molecular weights ranging from 1.5 to 5 MDa. MUC16 contains three major domains: an N-terminal domain (MUC16-N), a tandem repeat domain (MUC16-TR), and a C-terminal domain (MUC16-C) (Figure 1B). Its N-terminal domain contains multiple serine-rich regions inside of a ~12,000 amino acid long threonine-rich region, which is exclusively O-glycosylated. The TR domain contains 12~60 repeats of 156 amino acids with an interspersed SEA domain, which harbors both O-linked and N-linked glycosylation sites [35]. Unlike MUC1, MUC16 has been known to contain 16 SEA modules [36]. The C-terminal domain of MUC16 comprises an extracellular domain, short transmembrane region, and a 32 amino acid cytoplasmic domain. The cytoplasmic domain of MUC16 contains a polybasic amino acid motif (RRRKK) that associates with ezrin/radixin/moesin (ERM) actin-binding proteins [37]. The MUC16 cytoplasmic domain also contains several serine/threonine/tyrosine residues; the third tyrosine residue of the cytoplasmic domain is known to be phosphorylated by c-Src kinase [35,38].

3. The Role of Transmembrane Mucins in Tumorigenesis

Transmembrane mucins have long been considered promising anti-cancer targets because they are abnormally overexpressed in various carcinomas of the lung [39,40,41], breast [42,43,44], pancreas [45,46,47], digestive tract [48,49,50,51], and ovary [52,53]. Among the transmembrane mucin family, MUC1 and MUC16 are the most well-studied in terms of their clinical significance in tumorigenesis. To determine differences of MUC1 and MUC16 expression in tumor and normal tissues, the MUC1 and MUC16 mRNA levels in multiple types of tumor tissues were analyzed in the cancer genomics database TCGA (The Cancer Genome Atlas) (Figure 2). MUC1 expression was higher in BRCA (breast invasive carcinoma), CESC (cervical squamous cell carcinoma and endocervical adenocarcinoma), GBM (glioblastoma), LGG (brain lower grade glioma), DLBC (lymphoid neoplasm diffuse large B-cell lymphoma), PAAD (pancreatic adenocarcinoma), OV (ovarian serous cystadenocarcinoma), THYM (thymoma), and UCEC (uterine corpus endometrial carcinoma) compared with adjacent normal tissues. On the contrary, lower expression was observed in ACC (adrenocortical carcinoma), KIRC (kidney renal clear cell carcinoma), KIRP (kidney renal papillary cell carcinoma), LAML (acute myeloid leukemia), LUSC (lung squamous cell carcinoma), SKCM (skin cutaneous melanoma), and TGCT (testicular germ cell tumors). MUC16 expression was significantly higher in the LUAD (lung adenocarcinoma), OV, PAAD, UCEC, and UCS (uterine carcinosarcoma) compared with adjacent normal tissues.
Tumorigenesis is a complex process involving a variety of events inside and outside of transformed cells. Abnormal alterations of these biological events are well-characterized as “hallmarks of cancer” [54]. Although each hallmark of cancer is initiated by a specific gene, some genes are known as multifunctional master regulators of several hallmarks. Many reports have suggested that transmembrane mucins may play multiple roles in tumorigenesis and tumor progression. We here summarize the detailed tumorigenic roles of MUC1 and MUC16 in the context of cancer hallmarks.
Figure 2. MUC1 and MUC16 mRNA expression in tumor and normal tissues. Pan-cancer expression analysis of MUC1 and MUC16 genes was conducted using the GEPIA2 web server [55]. Tumor tissues (T, red dots) represent TCGA tumors. Normal tissues (N, green dots) represent TCGA and GTEx normal tissues. Expression values are presented as log-normalized transcripts per million (TPM) with median values (horizontal black bar). The red and green colors of the cancer type abbreviations denote that MUC1 or MUC16 gene expression in significantly higher or lower in these tumor tissues compared with normal tissues. (A) MUC1 is overexpressed in tumors of the breast (BRCA), cervix (CESC), brain (GBM, LGG), B-cell (DLBC), pancreas (PAAD), ovary (OV), thymus (THYM), and uterus (UCEC). (B) MUC16 is overexpressed in tumors of the lung (LUAD), ovary (OV), pancreas (PAAD), and uterus (UCEC and UCS).
Figure 2. MUC1 and MUC16 mRNA expression in tumor and normal tissues. Pan-cancer expression analysis of MUC1 and MUC16 genes was conducted using the GEPIA2 web server [55]. Tumor tissues (T, red dots) represent TCGA tumors. Normal tissues (N, green dots) represent TCGA and GTEx normal tissues. Expression values are presented as log-normalized transcripts per million (TPM) with median values (horizontal black bar). The red and green colors of the cancer type abbreviations denote that MUC1 or MUC16 gene expression in significantly higher or lower in these tumor tissues compared with normal tissues. (A) MUC1 is overexpressed in tumors of the breast (BRCA), cervix (CESC), brain (GBM, LGG), B-cell (DLBC), pancreas (PAAD), ovary (OV), thymus (THYM), and uterus (UCEC). (B) MUC16 is overexpressed in tumors of the lung (LUAD), ovary (OV), pancreas (PAAD), and uterus (UCEC and UCS).
Pharmaceuticals 14 01053 g002

3.1. Uncontrolled Proliferation

One of the essential hallmarks of cancer cells is an unlimited proliferative potential sustained by abnormal growth signaling pathways. Constitutive activation of growth factor signaling is conferred by oncogenic mutations or by the overexpression of receptor tyrosine kinases (RTKs), followed by protein–protein interactions that transmit downstream signals [56]. The cytoplasmic domain of MUC1 has several protein-binding motifs and phosphorylation sites that are important for protein–protein interactions. RTKs are known to interact directly with MUC1 for oncogenic signaling. ErbB is a family of RTKs consisting of ErbB1 (also known as EGF receptor), ErbB2 (also known as HER2/Neu), ErbB3, and ErbB4. MUC1 interacts with all of the ErbB family receptors to transmit oncogenic signaling reciprocally. The cytoplasmic domain of MUC1 was found in breast cancer cell lines to be phosphorylated by ErbB1 at the YEKV motif, resulting in c-Src and β-catenin recruitment and downstream signaling [57]. Reciprocally, MUC1 also potentiates ErbB signaling. The increased expression of MUC1 activates MAPK signaling through a physical interaction with ErbB1 and inhibition of ErbB1 degradation in breast cancer cells [58,59]. MUC1 also binds to fibroblast growth factor receptor 3 (FGFR3), another key RTK in tumorigenesis. Upon FGF1 ligand stimulation, FGFR3 interacts with MUC1 and phosphorylates the YEKV motif of the MUC1 cytoplasmic domain. This phosphorylated MUC1 forms a complex with β-catenin and translocates into the nucleus [60]. MUC1 also increases cytosolic β-catenin levels by inhibiting GSK3β-mediated phosphorylation and degradation. A serine-rich motif (SRM) of MUC1 interacts directly with the Armadillo repeats of β-catenin [61].
Estrogen receptor alpha (ERα) is a nuclear receptor that acts as an oncogene in a specific type of hormone-dependent (ER+) breast cancer. The nuclear localization and dimerization of ERα by estrogen stimuli activates the transcription of genes that contain an estrogen response element (ERE) within their regulatory regions. MUC1 interacts with the DNA-binding domain of ERα directly and thereby stabilizes ERα by blocking proteasomal degradation, resulting in enhanced ERα response gene transcription and the proliferation of breast cancer cells [29].

3.2. Evading Cell Death and Resistance to Stress

Another important hallmark of cancer is resistance to apoptotic cell death. Fast proliferating cancer cells face various stress conditions arising from internal (e.g., DNA replication, protein translation and degradation, and mitochondrial respiration) or external (e.g., tumor microenvironment and anti-cancer drugs) factors. Cellular stress pathways usually accompany apoptotic signals to eliminate damaged or transformed cells. Cancer cells evade stress-induced apoptosis through various mechanisms, and MUC1 has a protective role that contributes to this survival. First, MUC1 attenuates the genotoxic stress induced by DNA damage from DNA replication mechanisms or the actions of anti-cancer drugs. MUC1 regulates p53-dependent gene transcription through its direct association with the p53 regulatory domain and p53-responsive element. Upon treatment of cancer cells with DNA damage inducing agents (e.g., cisplatin and etoposide), MUC1 promotes transcription of growth arrest genes and suppresses p53-dependent apoptotic genes, thereby promoting the survival of these cells upon exposure to anti-cancer agents [31]. On the other hand, MUC1 directly exploits the drug efflux system through the transcription of multidrug resistance (MDR) genes, which has been reported to protect both lung and pancreatic cancer cells from chemotherapeutics [62,63].
MUC1 attenuates mitochondrial apoptotic factors such as cytochrome c or Bcl-xL (B-cell lymphoma-extra-large), protecting cancer cells from anti-cancer genotoxins such as cytarabine, gemcitabine, and cisplatin [64,65]. Upon genotoxic stress, c-Abl combined with 14-3-3 protein localizes in the nucleus where it activates the proapoptotic c-Jun N-terminal kinase (JNK) pathway [66]. MUC1 blocks this nuclear translocation of the c-Abl protein and thereby inhibits the apoptotic response to genotoxic anti-cancer drugs [67]. The constitutive activation of the NF-κB pathway is another anti-apoptotic mechanism activated by genotoxic stress. Oncogenic MUC1 promotes the phosphorylation and degradation of IκBα via an association with IKKβ and IKKγ [68].
MUC1 provides survival advantage to cancer cells by scavenging oxidative stress. MUC1 dephosphorylates and activates FOXO3a, which is tightly regulated by the PI3K/AKT pathway. FOXO3a activation induces its nuclear localization and the subsequent transcription activation of ROS scavenging genes. The stable downregulation of MUC1 has been shown to increase the intracellular ROS levels and sensitize breast cancer cells to ROS-induced necrosis [69].
Cancer cells are exposed to Fas (CD95/APO-1) and the Fas ligand (FasL) mediated apoptosis pathway when engaged by tumor-killing lymphocytes. The MUC1 cytoplasmic domain binds to Fas-associated death domain (FADD) and regulates FADD-induced caspase-8 activation. Hence, MUC1-high expressing cancer cells can evade the extrinsic apoptosis pathway [70].
MUC16 is also known to play an anti-apoptotic role in cancer cells. The ectopic expression of the c-terminal domain of MUC16 induces cisplatin resistance in ovarian cancer cells [71]. Lakshmanan et al. have also previously demonstrated a chemoresistant role of MUC16 in lung cancer cells that is mediated through the suppression of p53 [72]. Although its binding partners and precise molecular mechanisms underlying the resistance phenotypes are still unknown, the cytoplasmic domain of MUC16 is believed to have a signaling role that is comparable to MUC1.

3.3. Reprogramming Energy Metabolism

Since aerobic glycolysis was proposed as a unique glucose metabolic process in cancer, reprogramming pathways for acquiring nutrients and their subsequent metabolism are also an accepted cancer hallmark [54,73]. The altered expression of mucins in various cancer tissues is additionally suggested as a mediator of this reprogramming of energy metabolism. Chaika et al. demonstrated in an earlier study that MUC1 increases the glucose metabolism levels in pancreatic cancer. MUC1 overexpression also showed an association with increased glucose uptake, and with HIF-1α, GLUT1, and LDHA protein expression, in an orthotopic mouse model of pancreatic cancer. MUC1, together with HIF-1α, binds to the hypoxia response element (HRE) in the promoter region of the key glycolysis enzymes ENO1 and PGM2. Furthermore, a prior metabolomics study has illustrated a global metabolic shift, including amino acid metabolism and the TCA cycle, as well as glycolysis, in MUC1-overexpressing pancreatic cells [74]. MUC16 also has a similar role in metabolic reprogramming in pancreatic cancer through the mTOR (mammalian target of rapamycin) and c-MYC pathways [75]. Another study has suggested a role of the cytoplasmic domain of MUC1 in these processes. Rat fibroblasts transformed via the ectopic expression of MUC1 show altered glucose uptake and lactate production. MUC1 stimulates pyruvate kinase M2 (PKM2), a key mediator of anaerobic glycolysis, through a direct association [76]. MUC1 also contributes to altering the pentose phosphate pathway (PPP) and the nucleotide metabolism of pancreatic cancer cells. Inducing sufficient DNA damage is necessary to kill cancer cells during radiation therapy. However, cancer cells can be protected from DNA damage stress by an upregulated PPP and stronger nucleotide metabolism to secure a larger nucleotide pool [77]. High MUC1 expression also reduces cancer cell sensitivity to radiation in vitro and in vivo. This resistance is reverted by inhibiting glycolysis and the PPP with 3-bromopyruvate (BrPA) and 6-amino nicotinamide (6AN), respectively [78].
Altered lipid metabolism is also associated with cancer progression. Since cancer cells use lipids as signaling molecules as well as building blocks or an energy source, altered lipid metabolism is observed in the pathogenesis of cancer [79]. Pitroda et al. proposed a 38-gene set, designated as MLMS (MUC1-induced lipid metabolism signature), that consists of differentially expressed genes associated with lipid metabolism in MUC1-transformed 3Y1 cells. The MLMS contains genes involved in cholesterol metabolism, lipid transport, and fatty acid synthesis. MLMS overexpression is associated with a poor prognosis in tamoxifen-treated breast cancer patients, suggesting that altered lipid metabolism may induce tamoxifen resistance [80]. MLMS gene expression patterns are correlated with ER-dependent gene expression, as MUC1 binds to the ERE in association with ERα [29].

3.4. EMT and Metastasis

Invasion and metastasis are closely related to a poor prognosis in cancer patients. The epithelial–mesenchymal transition (EMT) is the first stage in cancer cell movement, which is represented by a loss of cell polarity. Along with the concurrent phenotypic changes, the molecular mechanisms underlying EMT have been well-studied [81]. Recently, a series of studies has lent support to the role of the mucins in the EMT in breast and pancreatic cancers. Analyses of MUC1-overexpressing cells and knockout mouse models have demonstrated that the EMT process is strongly affected by MUC1 in pancreatic cancer. As an example of this, the EMT is blocked when all tyrosine residues in the MUC1 cytoplasmic domain are substituted for phenylalanine. This MUC1 mutant cannot bind to β-catenin and therefore fails to translocate to the nucleus to promote the transcription of EMT genes [82]. Grover et al. have reported similar findings—i.e., that the tyrosine residues of the MUC1 cytoplasmic domain are important for TGF-β-induced EMT in pancreatic cancer [83]. The direct association of MUC1 to TWIST1 and ZEB1 (zinc-finger E-box-binding homeobox 1) has also been shown to regulate the EMT process in breast cancer when two major immune-related signal pathways are activated—i.e., STAT3 (signal transducer and activator of transcription 3) and NF-κB, respectively [84,85].
MUC16 is also a mediator of EMT in pancreatic cancer, and its knockdown results in a decreased migration of cancer cells in vitro and reduced metastasis in vivo. Indeed, the recently described interaction between MUC16 and FAK is suggested as a mechanism of pancreatic cancer metastasis [86]. Lakshmanan et al. have demonstrated that MUC16 is expressed in the metastatic lymph nodes of lung cancer patients. A MUC16 knockdown also markedly decreases lung cancer cell migration via JAK2/STAT3/GR (glucocorticoid receptor)-mediated TSPYL5 (testis-specific protein Y-encoded-like 5) downregulation [72].

3.5. Avoiding Immune Surveillance

The host immune system continuously eliminates newly transformed cancerous cells by recognizing tumor-specific antigens or cellular stress-induced markers [87]. This process, referred to as “immune surveillance”, is a major hurdle to be overcome by cancer cells for their propagation [88]. Since mucins expressed in normal epithelial tracts have an important role in mucosal immunity against bacterial infection, cancer-associated mucins have been thought to modulate cancer immunity. Mucins engage several strategies to avoid host immunity, including (1) blocking the interaction between immune cells and cancer cells, (2) modulating immune cell signaling via co-stimulatory or co-inhibitory molecules, and (3) regulating proinflammatory cytokine production. Because of the large and glycosylated structure of their extracellular region, mucin proteins have an inhibitory role against cell–cell interactions [89,90].
Immune cell infiltration analysis of TCGA samples has indicated a strong negative correlation between mucin mRNA expression and cytotoxic lymphocyte infiltration of a tumor (Figure 2 and Figure 3) [91]. The infiltration of CD8+ T cells was indicated to be significantly lower in MUC1-high tumors (BRCA, GBM, LGG, PAAD, THYM, and UCEC) and MUC16-high ovarian cancer, which was assessed by several prediction algorithms. Low NK cell infiltration was also predicted by MUC1-high BRCA, GBM, LGG, and UCEC, but this correlation was found to be relatively weaker than that for CD8+ T cell infiltration (Figure 3). Although the mechanism of reduced T or NK infiltration of mucin-high tumors is not yet fully elucidated, several studies have reported immune suppression mechanisms that support these aforementioned results.
Overexpressed MUC1 and MUC4 on the surfaces of cancer cells provide steric hindrance for the conjugation between cancer cells and cytotoxic lymphocytes, resulting in a decreased cancer cell lysis [98,99]. Glycosylated MUC1 on cancer cells directly binds to selectin or siglec family proteins expressed on immune cells including macrophages and suppresses their functions [100,101,102]. Furthermore, MUC1 plays as an immune checkpoint molecule by binding to intercellular adhesion molecule 1 (ICAM-1) on T cells and inhibiting their functions [103,104]. Cancer-associated MUC1 inhibits dendritic cell (DC) maturation and promotes IL-10highIL-12low regulatory DC differentiation, which enables tumors to escape immune surveillance [105,106]. MUC1 is also expressed on DCs that contribute to the suppression of immune responses. In MUC1-deficient mice, DCs showed a more activated phenotype with higher expression of co-stimulatory molecules, including CD40, CD80, and CD86, leading to an augmented CD4+ T cell activation [107]. The ovarian cancer antigen MUC16 (CA125) is known to interact with the immune suppressive molecule galectin-1 and with mesothelin on leukocytes [108,109]. Ovarian cancer cell-derived MUC16 induces an attenuated cytotoxic activity of human NK cells with phenotypic alterations [110,111]. MUC1 also plays an intrinsic role in cancer cell immune evasion through its cytoplasmic domain. MUC1 upregulates programmed death-ligand 1 (PD-L1) expression in non-small cell lung cancer (NSCLC), and this is reversed by the MUC1 cytoplasmic domain inhibitor GO-203. The p65/ZEB1 pathway that regulates the transcription of PD-L1, as well as TLR9, IFN-γ, MCP-1 (monocyte chemoattractant protein-1), and GM-CSF (granulocyte-macrophage colony-stimulating factor) in cancer cells, is activated by MUC1 [112]. The similar mechanism of PD-L1 upregulation by MUC1 was reported in triple-negative breast cancer (TNBC) [113]. Proinflammatory cytokines are important for boosting the immune response to cancer cells. Reciprocally, these cytokines also stimulate mucin overexpression in various cancer cells. Interleukin-6 (IL-6) and IFN-γ activate STAT3 and STAT1 proteins, which bind to the MUC1 promoter region to enhance gene transcription in breast cancer cells [114]. TNF-α and IFN-γ increase MUC16 expression in breast, endometrial, and ovarian cancers via NF-κB-mediated transcription regulation [115]. Conversely, MUC1 promotes the expression of proinflammatory cytokines such as IL-6 and TNF-α by binding to their promoter regions, resulting in a feedback loop that promotes chronic inflammation in the malignant microenvironment [116].

4. Targeting Transmembrane Mucins for Cancer Treatment

Many studies have demonstrated that the mucin family of proteins are promising targets for cancer therapeutics. Due to their roles in cancer signal transduction pathways, the signaling pathways of transmembrane mucins may have particular potential in anti-tumor therapy research. The extracellular domain of membrane-bound mucins can also be a good target for antibody-mediated therapies such as neutralizing antibodies, chimeric antigen receptors (CARs), bi-specific T-cell engagers (BiTEs), and antibody–drug conjugates (ADCs). The cancer-specific expression of certain mucin proteins also suggests the possibility of developing a mucin antigen-based cancer vaccine [117]. We describe below the current attempts at developing mucin-targeted cancer therapeutics (Figure 4).

4.1. Therapeutic Targeting of MUC1

MUC1 therapeutic candidates are under development for a variety of cancer types, including both solid and blood cancers (Table 1). The absence of an enzymatic pocket inside the MUC1 protein prevents its targeting by a small molecule inhibitor, but peptide inhibitors and RNA aptamers may be viable options for direct-binding inhibitors of MUC1. GO-203 is a cell-penetrating peptide inhibitor of MUC1 dimerization through its direct binding to the CQCRRK region of the MUC1 cytoplasmic domain [118]. The cytoplasmic domain of MUC1 binds a number of key oncogenic proteins, and a block of the dimerization of MUC1 could have anti-tumor effects through a variety of mechanisms, depending on the cell type. Since AKT-S6K1-eIF4A is one of the main pathways altered by MUC1, GO-203 has anti-tumor potency by blocking the AKT pathway in multiple tumor types, such as colon, esophageal, bladder, and breast [119,120,121,122]. GO-203 also shows potential in combination with standard chemotherapies in chemo-resistant cancer cells or hard-to-treat cancer types [121,122]. In TNBC, GO-203 combined with the PARP (poly (ADP-ribose) polymerase) inhibitor olaparib shows anti-cancer potency by blocking MUC1-C-induced epigenetic reprogramming and activating the DNA damage response [123]. In KRAS mutant lung adenocarcinoma, GO-203 suppresses MUC1-induced MYC transcription synergically when combined with the JQ-1 BET inhibitor [124]. GO-203 also shows synergism with lenalidomide and bortezomib against drug-resistant multiple myeloma by regulating TCF4/β-catenin and ER/oxidative stress mechanisms, respectively [125,126]. GO-203 further provides anti-cancer effects against FLT3-mutant leukemia and T cell lymphoma [127,128]. Moreover, in association with the tumor immune microenvironment, GO-203 is known to suppress PD-L1 and induce IFN-γ in NSCLC [129].
Selective RNA aptamer binding to the extracellular domain of MUC1 is another strategy for targeting MUC1-high cancer cells. Perepelyuk et al. have previously designed MUC1-aptamer-hybrid nanoparticles to deliver anti-tumor microRNAs into MUC1-overexpressing cancer cells. These miRNA-29b-loaded hybrid nanoparticles (MAFMILHNs) show anti-tumor effects in a lung cancer mouse model by downregulating DNMT3B (DNA methyltransferase 3 beta), a direct target of the miRNA payload [130]. Furthermore, using a dual payload strategy, geistein-miRNA-29b-biconjugate hybrid nanoparticles (GMLHNs) showed a greater potency than a single payload nanoparticle in a mouse lung cancer model by targeting AKT, PI3K, DNMT3B, and MCL-1 (myeloid cell leukemia-1) [131].
Recent advances in antibody technology have led to a variety of antibody-based therapeutics, such as ADC, BiTE, and CAR therapies, as well as neutralizing therapeutic antibody approaches. BM7-PE and M-1231 are the leading candidates for MUC1 ADCs in present clinical trials. BM7-PE, developed at Oslo University Hospital, comprises anti-MUC1 antibody BM7, conjugated to pseudomonas exotoxin A (PE). In a preclinical study, BM7-PE has shown anti-metastatic effects and promoted long-term survival in a breast cancer nude rat model [132]. BM7-PE is now in a phase 1/2 clinical trial for metastatic colorectal cancer (NCT04550897). M-1231 is a bispecific antibody–drug conjugate targeting the epidermal growth factor receptor (EGFR) and MUC1, and it is now in a phase 1 clinical trial for various metastatic solid tumors. Pab-001 is the first-in-class therapeutic antibody to target OT-MUC1 (onco-tethered MUC1). The highly glycosylated region of transmembrane MUC1 is prone to cleavage by extracellular matrix proteases. The cleaved MUC1-N subunit is released into the blood, thereby sequestering the anti-MUC1 antibody that recognizes the shed MUC1-N domain. Pab-001 targets the extracellular portion of the cleaved MUC1-C subunit to overcome this drawback [133,134]. Pab-001-MMAE ADC has shown promising results against TNBC and other cancers in various preclinical settings. DS-3939 is a PankoMab-GEX (gatipotuzumab) ADC [135], targeting a tumor-specific mucin carbohydrate–protein epitope (TA-MUC1). Bispecific antibodies using PankoMab are under development. PM-CD3-GEX is a BiTE (bispecific T cell engager), which recruits anti-tumor CD3+ T cells to MUC1-expressing cancer cells. PM-IL15-GEX is an immunocytokine that combines interleukin-15 with PankoMab-GEX to stimulate anti-tumorigenic NK or T cells. PM-PDL-GEX is a trifunctional antibody targeting MUC1, PD-L1, and FcγR. PD-L1 inhibition and FcγR activation act as an immunostimulant for anti-tumor leukocytes.
After remarkable successes against B cell lymphoma and multiple myeloma, chimeric antigen receptor (CAR) technology is seeking new target molecules for the expansion of its application to solid tumors. Since MUC1 is such a target candidate due to its aberrant expression in various solid tumors, several CAR therapies targeting MUC1 antigen are now under development. It must be noted however that the basal expression of MUC1 in normal tissues can induce significant adverse effects (Figure 2). This has led to new strategies in anti-MUC1 CAR therapies to ensure its safety and efficacy. We below describe recent advances in this regard.
Tn-MUC1 CAR developed by Tmunity Therapeutics is a leading MUC1 CAR-T cell therapy that is currently under phase 1 clinical trial (NCT04025216). Because Tn (GalNAcα1-O-Ser/Thr) is the most prevalent abnormal glycoform found in cancer tissues, the Tn glycoform of MUC1 (Tn-MUC1) is a promising target for CAR therapy. Tn-MUC1 CAR-T has shown anti-tumor potency against T cell lymphomas and pancreatic tumors in a target-specific manner [136]. The MUC-1 pCAR developed by Leucid Bio is a parallel CAR (pCAR) platform that introduces two chimeric antigen receptors side-by-side with different antigen-binding domains and with co-stimulatory domains or cytokine-stimulatory receptors, respectively (WO2020183158). This combination of dual receptors is expected to give T cells more specificity against MUC1-positive tumors and more efficacy than standard CAR-Ts, which have low potency against solid tumors. huMNC2-CAR44 T cells produced by Minerva Biotechnologies Corp are harboring scFv against a cleaved form of MUC1 present on solid cancer cells. huMNC2-CAR44 is in phase 1 clinical trials (NCT04020575) for breast, ovarian, pancreatic, and lung cancer, which are highly MUC1*-positive tumor types. NK cells are also considered as good hosts for CAR therapy. ONKT-103 is a MUC1 targeting CAR-NK cell therapy developed by ONK Therapeutics. ONKT-103 maximizes anti-tumor activity by introducing a DR5-TRAIL variant death receptor signaling pathway. TRAIL in NK cells stimulates the DR5 death receptor of cancer cells and leads to FADD-caspase-mediated apoptosis. ONKT-103 is currently at a preclinical stage and is being tested in the targeting of ovarian, breast, and lung cancers.

4.2. Therapeutic Targeting of MUC16 and Other Mucins

Along with MUC1, other membrane-bound mucins have also been considered as potential targets for anti-cancer treatment. We summarize below the various attempts made at targeting MUC16 and other mucins (Table 2).
MUC16 is approved by the FDA for its diagnostic usage [137]. Targeting MUC16 for cancer therapeutics is expected to improve the poor prognosis of ovarian cancer. Oregovomab (OvaRex) is the first monoclonal antibody drug investigated in clinical trials. Oregovomab binds the glycosylated region of MUC16 with high affinity (1.16 × 1010/M) and induces indirect immune responses via an anti-idiotype antibody induction cascade [138]. Oregovomab (Ab1) induces anti-oregovomab antibodies (anti-idiotype antibodies; Ab2), which in turn induces anti-anti-idiotype antibodies (Ab3). Ab3 antibodies recognize the original MUC16 antigen, resulting in immune cell-mediated killing of MUC16-expressing tumor cells. Various clinical trials of this agent have been conducted in different settings for ovarian cancers [139]. Oregovomab has shown very promising results in a phase 2 trial in combination with carboplatin and paclitaxel (CP), as compared with CP only, for 97 patients with stage III/IV ovarian cancer. The progression-free survival (PFS) outcome was 41.8 months for CP plus oregovomab vs. 12.2 for CP only (p = 0.0027, HR = 0.46, 95% CI = 0.28–0.7) [140]. The co-administration of CP with oregovomab resulted in an increase in MUC16-specific IFN-γ+ CD8+ T lymphocytes in the peripheral blood, demonstrating the activation of an immune response to oregovomab [141]. However, despite encouraging results from a combination study with standard chemotherapies, oregovomab monotherapy did not show a clinical benefit in phase 2 and phase 3 clinical trials [142,143]. Another phase 3 clinical trial (NCT04498117) of oregovomab is ongoing for newly diagnosed ovarian cancer patients in conjunction with carboplatin and paclitaxel chemotherapy.
Abagovomab is an anti-idiotype antibody (Ab2), generated against the anti-MUC16 antibody OC125 (Ab1). Abagovomab induces a specific Ab3 response, which in turn activates a cellular cytotoxic response against MUC16-expressing cancer cells. As an ovarian cancer vaccine for maintenance therapy, abagovomab has shown very promising results in terms of an immune response and overall survival (OS) improvements (median OS 23.5 vs. 4.9 months; p < 0.001) in a phase 1b/2 trial [144]. However, a multicenter phase 3 MIMOSA study of abagovomab involving 888 patients (NCT00418574) failed to confirm these clinical benefits (HR for RFS = 1.099; p = 0.301, HR for OS = 1.150; p = 0.322) [145]. Subsequent analysis of the MIMOSA study findings indicated that abagovomab does not augment MUC16-specific cytotoxic T lymphocytes (CTLs) [146]. A high level of MUC16-specific CTLs was found to be associated with a good prognosis, regardless of abagovomab treatment. Further analysis has suggested that the proportion of IFN-γ+ CD8+ T cells is a factor determining the clinical benefits of abagovomab and could therefore be a predictive biomarker for this drug [147].
DMUC5754A (RG-7458, sofituzumab vedotin) is an ADC that comprises the humanized anti-MUC16 antibody conjugated to a potent anti-mitotic agent, monomethyl auristatin E (MMAE). A phase 1 study of DMUC5754A was performed for patients with platinum-resistant ovarian cancer (OC) and unresectable pancreatic cancer (PC). Despite the safe profile of DMUC5754A, the response rate was only 17% (5/29; 1 CR; 4 PRs) for the OC cases, with neither CR nor PR observed for any of the PC patients [148]. Regeneron is currently developing MUC16 BiTEs that co-target MUC16-positive cancer and T cells. REGN4018 (MUC16/CD3 BiTE) shows MUC16-dependent anti-tumor potency and good tolerability in both murine and monkey models [149]. REGN4018 is now under phase 2 clinical trials alone and in combination with the PD-1 antibody cemiplimab or with REGN5668 (MUC16/CD28 BiTE) for recurrent ovarian cancer patients (NCT03564340, NCT04590326). JCAR-020, developed by Juno/Celgene/Bristol-Myers Squibb, is a MUC16 CAR-T cell therapy that harbors an interleukin-12 receptor agonist. JCAR-020 is currently under a phase 1 clinical trial (NCT02498912).
In addition to MUC1 and MUC16, other transmembrane mucins have been assessed as potential cancer targets. The aberrant expression and pathogenesis of MUC13 in pancreatic cancer leads to the development of anti-MUC13 antibodies that can be used for diagnostic and therapeutic purposes [150,151,152]. Amgen is developing a BiTE targeting CD3 and MUC17 for the treatment of gastric and esophageal cancer, and this is now in a phase 1 trial (WO2019133961A1, NCT04117958).

4.3. Tumor Vaccines

Therapeutic cancer vaccines are designed to activate a host’s immune system to eradicate cancer cells. The host immune system not only generates antibodies that recognize a specific cancer antigen but also induces a CTL-mediated tumor cell killing. Along with mucin-targeting passive immunotherapies such as the administration of a therapeutic antibody or engineered CTLs, vaccination with mucin antigens has also been vigorously attempted for treating various solid tumors.
CVac are autologous monocyte-derived DCs primed with a mannosylated MUC1 protein. Two phase 2 clinical studies have now been conducted with these cells: one for advanced OC patients with progressive disease after standard chemotherapy [153], and one for maintenance therapy after clinical remission in OC patients [154]. The CVac DC vaccine was found to have adequate safety with minimal adverse effects but failed to increase the PFS compared with standard chemotherapy alone. However, in a sub-group analysis that divided participants into first (CR1) and second clinical remission (CR2) groups, CVac produced a promising improvement in the PFS (HR = 0.32) and OS (HR = 0.17) in the CR2 group. This result however was from a small-sized randomized trial (n = 10 for each group), and a phase 3 clinical trial with a large cohort will be needed to verify this finding.
ImMucin is a 21-mer peptide vaccine comprising the signal peptide domain of the MUC1 protein that binds to various MHC class I and class II alleles [155]. A phase 1/2 study of ImMucin for multiple myeloma with co-administration of GM-CSF demonstrated a safe tolerability of this vaccination, the successful induction of a vaccine-mediated cellular and humoral immune response, and clinical disease control in 11/15 patients (duration: 17.5–41.3 months after study completion) [156].
Dr. Finn and colleagues have also designed a peptide sequence from MUC1 as a tumor vaccine. Direct administration of a 100-mer clinical grade peptide (5 repeats of 20-mer peptide) with adjuvants has shown the tolerability and immunogenicity of this vaccine in phase 1 and phase 2 clinical trials for pancreatic cancer and colon cancer patients [157,158]. This peptide has also been exploited as a MUC1 peptide pulsed autologous DC vaccine for patients with pancreatic and biliary tumors after resection of their primary tumors. In that particular clinical study, 4/12 patients survived without recurrence, with a median survival of 26 months (range, 13–69 months) [159].
ONT-10 is a liposome therapeutic vaccine consisting of two repeats of a 20-mer synthetic glycopeptide from MUC1 combined with pentaerythritol lipid A (PET Lipid A), a TLR4 agonist. A preclinical study of ONT-10 indicated an induction of a cellular and humoral immune response to MUC1 and anti-tumor effects in syngenic B16-MUC1 and MC38-MUC1 models [160]. A phase 1 study of 28 advanced solid cancer patients demonstrated that ONT-10 is safe and well-tolerated, but neither CR nor PR was observed [161]. Recently, a phase 1b study of ONT-10 in combination with varlilumab (anti-CD27 agonistic antibody) was performed in advanced ovarian and breast cancer patients (NCT02270372). Emepepimut-S (also known as Tecemotide or L-BLP25) is another developed peptide vaccine for MUC1. However, in a phase 3 study in NSCLC patients, no significant difference in OS was observed [162].
ETBX-061 is a therapeutic adenovirus vaccine targeting the MUC1 protein. Considering the heterogenetic nature of solid tumors, ETBX-061 has been studied in combination with other vaccines or therapeutic agents in clinical trials. A triple (CEA/MUC1/Brachyury) vaccine combination regimen was studied in a phase 1 clinical trial for advanced cancer patients that confirmed antigen-specific T cell generation and disease control (60% SD and 40% PD) [163]. Other clinical studies with different regimens have also been reported (Table 3). TG4010 is a modified vaccinia Ankara (MVA) expressing MUC1 and interleukin-2. In a phase 2b/3 trial for advanced NSCLC, TG4010 plus chemotherapy produced a significant improvement in the PFS relative to a placebo plus chemotherapy, but the survival benefit was marginal only (5.9 vs. 5.1 months) [164]. MicroVAC LLC is developing an ad-sig-hMUC1/ecdCD40L vaccine in which a fusion protein of MUC1 (TAA; tumor-associated antigen) is combined with the extracellular domain (ECD) of the CD40 ligand (CD40L) to boost DC activation and promote T and B cell expansion [165]. A small cohort phase 1 study of this vaccine has demonstrated that it is safe and has encouraging anti-tumor activity [166]. A phase 1 clinical study is now ongoing with a larger number of patients. Other mucin-targeting vaccines under development are summarized in Table 3.

5. Conclusions and Perspectives

Transmembrane mucins have important functions in maintaining mucosal structure and physiological homeostasis. Mucins are heavily glycosylated proteins that overexpress in different types of cancers. Many efforts have been continued to find new therapeutic strategies for exploiting the overexpression and aberrant glycosylation of some transmembrane mucins. Many therapeutic agents targeting mucins are under different stages of clinical trial for several cancers. These agents include antibody-based therapeutics, small molecule inhibitors, vaccines, and cell therapy. A better understanding of mucin glycoproteins in terms of shedding mechanism, aberrant glycosylation, possible splice variants, oncogenic signaling cascades, and interacting binding partners would be required to develop more effective mucin-based therapeutic strategies.

Author Contributions

Conceptualization, D.-H.L., Y.P. and H.-s.J.; writing—original draft preparation and editing, D.-H.L., S.C., Y.P. and H.-s.J.; funding acquisition, Y.P. and H.-s.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Research Foundation of Korea (NRF-2020R1A4A1016695 and NRF-2020M3A9G7103935) and the KIST institutional program.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data is contained within the article.

Acknowledgments

Figure 1 and Figure 4 were created with BioRender.com.

Conflicts of Interest

The authors declare no competing financial or other interests in relation to this article.

References

  1. Dekker, J.; Rossen, J.W.; Buller, H.A.; Einerhand, A.W. The MUC family: An obituary. Trends Biochem. Sci. 2002, 27, 126–131. [Google Scholar] [CrossRef]
  2. Hollingsworth, M.A.; Swanson, B.J. Mucins in cancer: Protection and control of the cell surface. Nat. Rev. Cancer 2004, 4, 45–60. [Google Scholar] [CrossRef]
  3. Bhatia, R.; Gautam, S.K.; Cannon, A.; Thompson, C.; Hall, B.R.; Aithal, A.; Banerjee, K.; Jain, M.; Solheim, J.C.; Kumar, S.; et al. Cancer-associated mucins: Role in immune modulation and metastasis. Cancer Metastasis Rev. 2019, 38, 223–236. [Google Scholar] [CrossRef]
  4. Dhanisha, S.S.; Guruvayoorappan, C.; Drishya, S.; Abeesh, P. Mucins: Structural diversity, biosynthesis, its role in pathogenesis and as possible therapeutic targets. Crit. Rev. Oncol. Hematol. 2018, 122, 98–122. [Google Scholar] [CrossRef]
  5. Gendler, S.J.; Lancaster, C.A.; Taylor-Papadimitriou, J.; Duhig, T.; Peat, N.; Burchell, J.; Pemberton, L.; Lalani, E.N.; Wilson, D. Molecular cloning and expression of human tumor-associated polymorphic epithelial mucin. J. Biol. Chem. 1990, 265, 15286–15293. [Google Scholar] [CrossRef]
  6. Batra, S.K.; Hollingsworth, M.A. Expression of the human mucin gene, Muc 1, in normal tissues and metastatic pancreatic tumors. Int. J. Pancreatol. 1991, 10, 287–292. [Google Scholar] [CrossRef] [PubMed]
  7. Lan, M.S.; Batra, S.K.; Qi, W.N.; Metzgar, R.S.; Hollingsworth, M.A. Cloning and sequencing of a human pancreatic tumor mucin cDNA. J. Biol. Chem. 1990, 265, 15294–15299. [Google Scholar] [CrossRef]
  8. Patton, S.; Gendler, S.J.; Spicer, A.P. The epithelial mucin, MUC1, of milk, mammary gland and other tissues. Biochim. Biophys. Acta 1995, 1241, 407–423. [Google Scholar] [CrossRef]
  9. Gendler, S.J. MUC1, the renaissance molecule. J. Mammary Gland Biol. Neoplasia 2001, 6, 339–353. [Google Scholar] [CrossRef] [PubMed]
  10. Kufe, D.W. Mucins in cancer: Function, prognosis and therapy. Nat. Rev. Cancer 2009, 9, 874–885. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Li, Y.; Liu, D.; Chen, D.; Kharbanda, S.; Kufe, D. Human DF3/MUC1 carcinoma-associated protein functions as an oncogene. Oncogene 2003, 22, 6107–6110. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Li, Y.; Cozzi, P.J. MUC1 is a promising therapeutic target for prostate cancer therapy. Curr. Cancer Drug. Targets 2007, 7, 259–271. [Google Scholar] [CrossRef]
  13. Joshi, M.D.; Ahmad, R.; Yin, L.; Raina, D.; Rajabi, H.; Bubley, G.; Kharbanda, S.; Kufe, D. MUC1 oncoprotein is a druggable target in human prostate cancer cells. Mol. Cancer Ther. 2009, 8, 3056–3065. [Google Scholar] [CrossRef] [Green Version]
  14. Hu, X.F.; Yang, E.; Li, J.; Xing, P.X. MUC1 cytoplasmic tail: A potential therapeutic target for ovarian carcinoma. Exp. Rev. Anticancer Ther. 2006, 6, 1261–1271. [Google Scholar] [CrossRef] [PubMed]
  15. Kufe, D.W. MUC1-C oncoprotein as a target in breast cancer: Activation of signaling pathways and therapeutic approaches. Oncogene 2013, 32, 1073–1081. [Google Scholar] [CrossRef] [Green Version]
  16. Zeimet, A.G.; Offner, F.A.; Muller-Holzner, E.; Widschwendter, M.; Abendstein, B.; Fuith, L.C.; Daxenbichler, G.; Marth, C. Peritoneum and tissues of the female reproductive tract as physiological sources of CA-125. Tumour Biol. 1998, 19, 275–282. [Google Scholar] [CrossRef] [PubMed]
  17. Argueso, P.; Spurr-Michaud, S.; Russo, C.L.; Tisdale, A.; Gipson, I.K. MUC16 mucin is expressed by the human ocular surface epithelia and carries the H185 carbohydrate epitope. Investig. Ophthalmol. Vis. Sci. 2003, 44, 2487–2495. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Matsuoka, Y.; Endo, K.; Kawamura, Y.; Yoshida, T.; Saga, T.; Watanabe, Y.; Koizumi, M.; Nakashima, T.; Konishi, J.; Yamaguchi, N.; et al. Normal bronchial mucus contains high levels of cancer-associated antigens, CA125, CA19-9, and carcinoembryonic antigen. Cancer 1990, 65, 506–510. [Google Scholar] [CrossRef]
  19. Bast, R.C., Jr.; Xu, F.J.; Yu, Y.H.; Barnhill, S.; Zhang, Z.; Mills, G.B. CA 125: The past and the future. Int. J. Biol. Markers 1998, 13, 179–187. [Google Scholar] [CrossRef] [PubMed]
  20. Capstick, V.; Maclean, G.D.; Suresh, M.R.; Bodnar, D.; Lloyd, S.; Shepert, L.; Longenecker, B.M.; Krantz, M. Clinical evaluation of a new two-site assay for CA125 antigen. Int. J. Biol. Markers 1991, 6, 129–135. [Google Scholar] [CrossRef] [PubMed]
  21. Singh, R.; Samant, U.; Hyland, S.; Chaudhari, P.R.; Wels, W.S.; Bandyopadhyay, D. Target-specific cytotoxic activity of recombinant immunotoxin scFv(MUC1)-ETA on breast carcinoma cells and primary breast tumors. Mol. Cancer Ther. 2007, 6, 562–569. [Google Scholar] [CrossRef] [Green Version]
  22. Singh, R.; Bandyopadhyay, D. MUC1: A target molecule for cancer therapy. Cancer Biol. Ther. 2007, 6, 481–486. [Google Scholar] [CrossRef] [PubMed]
  23. Hanisch, F.G. O-glycosylation of the mucin type. Biol. Chem. 2001, 382, 143–149. [Google Scholar] [CrossRef] [PubMed]
  24. Carraway, K.L., 3rd; Rossi, E.A.; Komatsu, M.; Price-Schiavi, S.A.; Huang, D.; Guy, P.M.; Carvajal, M.E.; Fregien, N.; Carraway, C.A.; Carraway, K.L. An intramembrane modulator of the ErbB2 receptor tyrosine kinase that potentiates neuregulin signaling. J. Biol. Chem. 1999, 274, 5263–5266. [Google Scholar] [CrossRef] [Green Version]
  25. Al Masri, A.; Gendler, S.J. Muc1 affects c-Src signaling in PyV MT-induced mammary tumorigenesis. Oncogene 2005, 24, 5799–5808. [Google Scholar] [CrossRef] [Green Version]
  26. Kinlough, C.L.; Poland, P.A.; Bruns, J.B.; Harkleroad, K.L.; Hughey, R.P. MUC1 membrane trafficking is modulated by multiple interactions. J. Biol. Chem. 2004, 279, 53071–53077. [Google Scholar] [CrossRef] [Green Version]
  27. Li, Y.; Bharti, A.; Chen, D.; Gong, J.; Kufe, D. Interaction of glycogen synthase kinase 3beta with the DF3/MUC1 carcinoma-associated antigen and beta-catenin. Mol. Cell Biol. 1998, 18, 7216–7224. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Pandey, P.; Kharbanda, S.; Kufe, D. Association of the DF3/MUC1 breast cancer antigen with Grb2 and the Sos/Ras exchange protein. Cancer Res. 1995, 55, 4000–4003. [Google Scholar]
  29. Wei, X.; Xu, H.; Kufe, D. MUC1 oncoprotein stabilizes and activates estrogen receptor alpha. Mol. Cell 2006, 21, 295–305. [Google Scholar] [CrossRef]
  30. Yamamoto, M.; Bharti, A.; Li, Y.; Kufe, D. Interaction of the DF3/MUC1 breast carcinoma-associated antigen and beta-catenin in cell adhesion. J. Biol. Chem. 1997, 272, 12492–12494. [Google Scholar] [CrossRef] [Green Version]
  31. Wei, X.; Xu, H.; Kufe, D. Human MUC1 oncoprotein regulates p53-responsive gene transcription in the genotoxic stress response. Cancer Cell 2005, 7, 167–178. [Google Scholar] [CrossRef] [Green Version]
  32. Oosterkamp, H.M.; Scheiner, L.; Stefanova, M.C.; Lloyd, K.O.; Finstad, C.L. Comparison of MUC-1 mucin expression in epithelial and non-epithelial cancer cell lines and demonstration of a new short variant form (MUC-1/Z). Int. J. Cancer 1997, 72, 87–94. [Google Scholar] [CrossRef]
  33. Zrihan-Licht, S.; Vos, H.L.; Baruch, A.; Elroy-Stein, O.; Sagiv, D.; Keydar, I.; Hilkens, J.; Wreschner, D.H. Characterization and molecular cloning of a novel MUC1 protein, devoid of tandem repeats, expressed in human breast cancer tissue. Eur. J. Biochem. 1994, 224, 787–795. [Google Scholar] [CrossRef]
  34. Zhang, L.; Vlad, A.; Milcarek, C.; Finn, O.J. Human mucin MUC1 RNA undergoes different types of alternative splicing resulting in multiple isoforms. Cancer Immunol. Immunother. 2013, 62, 423–435. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Haridas, D.; Ponnusamy, M.P.; Chugh, S.; Lakshmanan, I.; Seshacharyulu, P.; Batra, S.K. MUC16: Molecular analysis and its functional implications in benign and malignant conditions. FASEB J. 2014, 28, 4183–4199. [Google Scholar] [CrossRef] [PubMed]
  36. Duraisamy, S.; Ramasamy, S.; Kharbanda, S.; Kufe, D. Distinct evolution of the human carcinoma-associated transmembrane mucins, MUC1, MUC4 AND MUC16. Gene 2006, 373, 28–34. [Google Scholar] [CrossRef] [PubMed]
  37. Blalock, T.D.; Spurr-Michaud, S.J.; Tisdale, A.S.; Heimer, S.R.; Gilmore, M.S.; Ramesh, V.; Gipson, I.K. Functions of MUC16 in corneal epithelial cells. Investig. Ophthalmol. Vis. Sci. 2007, 48, 4509–4518. [Google Scholar] [CrossRef] [Green Version]
  38. Akita, K.; Tanaka, M.; Tanida, S.; Mori, Y.; Toda, M.; Nakada, H. CA125/MUC16 interacts with Src family kinases, and over-expression of its C-terminal fragment in human epithelial cancer cells reduces cell-cell adhesion. Eur. J. Cell Biol. 2013, 92, 257–263. [Google Scholar] [CrossRef]
  39. Tsutsumida, H.; Goto, M.; Kitajima, S.; Kubota, I.; Hirotsu, Y.; Wakimoto, J.; Batra, S.K.; Imai, K.; Yonezawa, S. MUC4 expression correlates with poor prognosis in small-sized lung adenocarcinoma. Lung Cancer 2007, 55, 195–203. [Google Scholar] [CrossRef]
  40. Hanaoka, J.; Kontani, K.; Sawai, S.; Ichinose, M.; Tezuka, N.; Inoue, S.; Fujino, S.; Ohkubo, I. Analysis of MUC4 mucin expression in lung carcinoma cells and its immunogenicity. Cancer 2001, 92, 2148–2157. [Google Scholar] [CrossRef]
  41. Guddo, F.; Giatromanolaki, A.; Koukourakis, M.I.; Reina, C.; Vignola, A.M.; Chlouverakis, G.; Hilkens, J.; Gatter, K.C.; Harris, A.L.; Bonsignore, G. MUC1 (episialin) expression in non-small cell lung cancer is independent of EGFR and c-erbB-2 expression and correlates with poor survival in node positive patients. J. Clin. Pathol. 1998, 51, 667–671. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Rakha, E.A.; Boyce, R.W.; Abd El-Rehim, D.; Kurien, T.; Green, A.R.; Paish, E.C.; Robertson, J.F.; Ellis, I.O. Expression of mucins (MUC1, MUC2, MUC3, MUC4, MUC5AC and MUC6) and their prognostic significance in human breast cancer. Mod. Pathol. 2005, 18, 1295–1304. [Google Scholar] [CrossRef] [PubMed]
  43. Hayes, D.F.; Sekine, H.; Ohno, T.; Abe, M.; Keefe, K.; Kufe, D.W. Use of a murine monoclonal antibody for detection of circulating plasma DF3 antigen levels in breast cancer patients. J. Clin. Investig. 1985, 75, 1671–1678. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Apostolopoulos, V.; McKenzie, I.F. Cellular mucins: Targets for immunotherapy. Crit. Rev. Immunol. 1994, 14, 293–309. [Google Scholar] [CrossRef]
  45. Choudhury, A.; Moniaux, N.; Winpenny, J.P.; Hollingsworth, M.A.; Aubert, J.P.; Batra, S.K. Human MUC4 mucin cDNA and its variants in pancreatic carcinoma. J. Biochem. 2000, 128, 233–243. [Google Scholar] [CrossRef]
  46. Balague, C.; Gambus, G.; Carrato, C.; Porchet, N.; Aubert, J.P.; Kim, Y.S.; Real, F.X. Altered expression of MUC2, MUC4, and MUC5 mucin genes in pancreas tissues and cancer cell lines. Gastroenterology 1994, 106, 1054–1061. [Google Scholar] [CrossRef]
  47. Andrianifahanana, M.; Moniaux, N.; Schmied, B.M.; Ringel, J.; Friess, H.; Hollingsworth, M.A.; Buchler, M.W.; Aubert, J.P.; Batra, S.K. Mucin (MUC) gene expression in human pancreatic adenocarcinoma and chronic pancreatitis: A potential role of MUC4 as a tumor marker of diagnostic significance. Clin. Cancer Res. 2001, 7, 4033–4040. [Google Scholar]
  48. Wang, R.Q.; Fang, D.C. Alterations of MUC1 and MUC3 expression in gastric carcinoma: Relevance to patient clinicopathological features. J. Clin. Pathol. 2003, 56, 378–384. [Google Scholar] [CrossRef] [Green Version]
  49. Utsunomiya, T.; Yonezawa, S.; Sakamoto, H.; Kitamura, H.; Hokita, S.; Aiko, T.; Tanaka, S.; Irimura, T.; Kim, Y.S.; Sato, E. Expression of MUC1 and MUC2 mucins in gastric carcinomas: Its relationship with the prognosis of the patients. Clin. Cancer Res. 1998, 4, 2605–2614. [Google Scholar]
  50. Walsh, M.D.; Young, J.P.; Leggett, B.A.; Williams, S.H.; Jass, J.R.; McGuckin, M.A. The MUC13 cell surface mucin is highly expressed by human colorectal carcinomas. Hum. Pathol. 2007, 38, 883–892. [Google Scholar] [CrossRef]
  51. Duncan, T.J.; Watson, N.F.; Al-Attar, A.H.; Scholefield, J.H.; Durrant, L.G. The role of MUC1 and MUC3 in the biology and prognosis of colorectal cancer. World J. Surg. Oncol. 2007, 5, 31. [Google Scholar] [CrossRef] [Green Version]
  52. Fritsche, H.A.; Bast, R.C. CA 125 in ovarian cancer: Advances and controversy. Clin. Chem. 1998, 44, 1379–1380. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Chauhan, S.C.; Singh, A.P.; Ruiz, F.; Johansson, S.L.; Jain, M.; Smith, L.M.; Moniaux, N.; Batra, S.K. Aberrant expression of MUC4 in ovarian carcinoma: Diagnostic significance alone and in combination with MUC1 and MUC16 (CA125). Mod. Pathol. 2006, 19, 1386–1394. [Google Scholar] [CrossRef]
  54. Hanahan, D.; Weinberg, R.A. Hallmarks of cancer: The next generation. Cell 2011, 144, 646–674. [Google Scholar] [CrossRef] [Green Version]
  55. Tang, Z.; Kang, B.; Li, C.; Chen, T.; Zhang, Z. GEPIA2: An enhanced web server for large-scale expression profiling and interactive analysis. Nucleic Acids Res. 2019, 47, W556–W560. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. Regad, T. Targeting RTK Signaling Pathways in Cancer. Cancers 2015, 7, 1758–1784. [Google Scholar] [CrossRef]
  57. Li, Y.; Ren, J.; Yu, W.; Li, Q.; Kuwahara, H.; Yin, L.; Carraway, K.L., 3rd; Kufe, D. The epidermal growth factor receptor regulates interaction of the human DF3/MUC1 carcinoma antigen with c-Src and beta-catenin. J. Biol. Chem. 2001, 276, 35239–35242. [Google Scholar] [CrossRef] [Green Version]
  58. Pochampalli, M.R.; el Bejjani, R.M.; Schroeder, J.A. MUC1 is a novel regulator of ErbB1 receptor trafficking. Oncogene 2007, 26, 1693–1701. [Google Scholar] [CrossRef] [PubMed]
  59. Schroeder, J.A.; Thompson, M.C.; Gardner, M.M.; Gendler, S.J. Transgenic MUC1 interacts with epidermal growth factor receptor and correlates with mitogen-activated protein kinase activation in the mouse mammary gland. J. Biol. Chem. 2001, 276, 13057–13064. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Ren, J.; Raina, D.; Chen, W.; Li, G.; Huang, L.; Kufe, D. MUC1 oncoprotein functions in activation of fibroblast growth factor receptor signaling. Mol. Cancer Res. 2006, 4, 873–883. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Huang, L.; Chen, D.; Liu, D.; Yin, L.; Kharbanda, S.; Kufe, D. MUC1 oncoprotein blocks glycogen synthase kinase 3beta-mediated phosphorylation and degradation of beta-catenin. Cancer Res. 2005, 65, 10413–10422. [Google Scholar] [CrossRef] [Green Version]
  62. Jin, W.; Liao, X.; Lv, Y.; Pang, Z.; Wang, Y.; Li, Q.; Liao, Y.; Ye, Q.; Chen, G.; Zhao, K.; et al. MUC1 induces acquired chemoresistance by upregulating ABCB1 in EGFR-dependent manner. Cell Death Dis. 2017, 8, e2980. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  63. Nath, S.; Daneshvar, K.; Roy, L.D.; Grover, P.; Kidiyoor, A.; Mosley, L.; Sahraei, M.; Mukherjee, P. MUC1 induces drug resistance in pancreatic cancer cells via upregulation of multidrug resistance genes. Oncogenesis 2013, 2, e51. [Google Scholar] [CrossRef] [Green Version]
  64. Ren, J.; Agata, N.; Chen, D.; Li, Y.; Yu, W.H.; Huang, L.; Raina, D.; Chen, W.; Kharbanda, S.; Kufe, D. Human MUC1 carcinoma-associated protein confers resistance to genotoxic anticancer agents. Cancer Cell 2004, 5, 163–175. [Google Scholar] [CrossRef] [Green Version]
  65. Raina, D.; Kharbanda, S.; Kufe, D. The MUC1 oncoprotein activates the anti-apoptotic phosphoinositide 3-kinase/Akt and Bcl-xL pathways in rat 3Y1 fibroblasts. J. Biol. Chem. 2004, 279, 20607–20612. [Google Scholar] [CrossRef] [Green Version]
  66. Kharbanda, S.; Ren, R.; Pandey, P.; Shafman, T.D.; Feller, S.M.; Weichselbaum, R.R.; Kufe, D.W. Activation of the c-Abl tyrosine kinase in the stress response to DNA-damaging agents. Nature 1995, 376, 785–788. [Google Scholar] [CrossRef]
  67. Raina, D.; Ahmad, R.; Kumar, S.; Ren, J.; Yoshida, K.; Kharbanda, S.; Kufe, D. MUC1 oncoprotein blocks nuclear targeting of c-Abl in the apoptotic response to DNA damage. EMBO J. 2006, 25, 3774–3783. [Google Scholar] [CrossRef] [Green Version]
  68. Ahmad, R.; Raina, D.; Trivedi, V.; Ren, J.; Rajabi, H.; Kharbanda, S.; Kufe, D. MUC1 oncoprotein activates the IkappaB kinase beta complex and constitutive NF-kappaB signalling. Nat. Cell Biol. 2007, 9, 1419–1427. [Google Scholar] [CrossRef]
  69. Yin, L.; Huang, L.; Kufe, D. MUC1 oncoprotein activates the FOXO3a transcription factor in a survival response to oxidative stress. J. Biol. Chem. 2004, 279, 45721–45727. [Google Scholar] [CrossRef] [Green Version]
  70. Agata, N.; Ahmad, R.; Kawano, T.; Raina, D.; Kharbanda, S.; Kufe, D. MUC1 oncoprotein blocks death receptor-mediated apoptosis by inhibiting recruitment of caspase-8. Cancer Res. 2008, 68, 6136–6144. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Boivin, M.; Lane, D.; Piche, A.; Rancourt, C. CA125 (MUC16) tumor antigen selectively modulates the sensitivity of ovarian cancer cells to genotoxic drug-induced apoptosis. Gynecol Oncol. 2009, 115, 407–413. [Google Scholar] [CrossRef]
  72. Lakshmanan, I.; Salfity, S.; Seshacharyulu, P.; Rachagani, S.; Thomas, A.; Das, S.; Majhi, P.D.; Nimmakayala, R.K.; Vengoji, R.; Lele, S.M.; et al. MUC16 Regulates TSPYL5 for Lung Cancer Cell Growth and Chemoresistance by Suppressing p53. Clin. Cancer Res. 2017, 23, 3906–3917. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. DeBerardinis, R.J.; Chandel, N.S. Fundamentals of cancer metabolism. Sci. Adv. 2016, 2, e1600200. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Chaika, N.V.; Gebregiworgis, T.; Lewallen, M.E.; Purohit, V.; Radhakrishnan, P.; Liu, X.; Zhang, B.; Mehla, K.; Brown, R.B.; Caffrey, T.; et al. MUC1 mucin stabilizes and activates hypoxia-inducible factor 1 alpha to regulate metabolism in pancreatic cancer. Proc. Natl. Acad. Sci. USA 2012, 109, 13787–13792. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Shukla, S.K.; Gunda, V.; Abrego, J.; Haridas, D.; Mishra, A.; Souchek, J.; Chaika, N.V.; Yu, F.; Sasson, A.R.; Lazenby, A.J.; et al. MUC16-mediated activation of mTOR and c-Myc reprograms pancreatic cancer metabolism. Oncotarget 2015, 6, 19118–19131. [Google Scholar] [CrossRef] [Green Version]
  76. Kosugi, M.; Ahmad, R.; Alam, M.; Uchida, Y.; Kufe, D. MUC1-C oncoprotein regulates glycolysis and pyruvate kinase M2 activity in cancer cells. PLoS ONE 2011, 6, e28234. [Google Scholar] [CrossRef]
  77. Turgeon, M.O.; Perry, N.J.S.; Poulogiannis, G. DNA Damage, Repair, and Cancer Metabolism. Front. Oncol. 2018, 8, 15. [Google Scholar] [CrossRef] [Green Version]
  78. Gunda, V.; Souchek, J.; Abrego, J.; Shukla, S.K.; Goode, G.D.; Vernucci, E.; Dasgupta, A.; Chaika, N.V.; King, R.J.; Li, S.; et al. MUC1-Mediated Metabolic Alterations Regulate Response to Radiotherapy in Pancreatic Cancer. Clin. Cancer Res. 2017, 23, 5881–5891. [Google Scholar] [CrossRef] [Green Version]
  79. Snaebjornsson, M.T.; Janaki-Raman, S.; Schulze, A. Greasing the Wheels of the Cancer Machine: The Role of Lipid Metabolism in Cancer. Cell Metab. 2020, 31, 62–76. [Google Scholar] [CrossRef]
  80. Pitroda, S.P.; Khodarev, N.N.; Beckett, M.A.; Kufe, D.W.; Weichselbaum, R.R. MUC1-induced alterations in a lipid metabolic gene network predict response of human breast cancers to tamoxifen treatment. Proc. Natl. Acad. Sci. USA 2009, 106, 5837–5841. [Google Scholar] [CrossRef] [Green Version]
  81. Ribatti, D.; Tamma, R.; Annese, T. Epithelial-Mesenchymal Transition in Cancer: A Historical Overview. Transl. Oncol. 2020, 13, 100773. [Google Scholar] [CrossRef] [PubMed]
  82. Roy, L.D.; Sahraei, M.; Subramani, D.B.; Besmer, D.; Nath, S.; Tinder, T.L.; Bajaj, E.; Shanmugam, K.; Lee, Y.Y.; Hwang, S.I.; et al. MUC1 enhances invasiveness of pancreatic cancer cells by inducing epithelial to mesenchymal transition. Oncogene 2011, 30, 1449–1459. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  83. Grover, P.; Nath, S.; Nye, M.D.; Zhou, R.; Ahmad, M.; Mukherjee, P. SMAD4-independent activation of TGF-beta signaling by MUC1 in a human pancreatic cancer cell line. Oncotarget 2018, 9, 6897–6910. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Rajabi, H.; Alam, M.; Takahashi, H.; Kharbanda, A.; Guha, M.; Ahmad, R.; Kufe, D. MUC1-C oncoprotein activates the ZEB1/miR-200c regulatory loop and epithelial-mesenchymal transition. Oncogene 2014, 33, 1680–1689. [Google Scholar] [CrossRef] [Green Version]
  85. Hata, T.; Rajabi, H.; Yamamoto, M.; Jin, C.; Ahmad, R.; Zhang, Y.; Kui, L.; Li, W.; Yasumizu, Y.; Hong, D.; et al. Targeting MUC1-C Inhibits TWIST1 Signaling in Triple-Negative Breast Cancer. Mol. Cancer Ther. 2019, 18, 1744–1754. [Google Scholar] [CrossRef] [Green Version]
  86. Muniyan, S.; Haridas, D.; Chugh, S.; Rachagani, S.; Lakshmanan, I.; Gupta, S.; Seshacharyulu, P.; Smith, L.M.; Ponnusamy, M.P.; Batra, S.K. MUC16 contributes to the metastasis of pancreatic ductal adenocarcinoma through focal adhesion mediated signaling mechanism. Genes Cancer 2016, 7, 110–124. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  87. Swann, J.B.; Smyth, M.J. Immune surveillance of tumors. J. Clin. Investig. 2007, 117, 1137–1146. [Google Scholar] [CrossRef] [Green Version]
  88. Vinay, D.S.; Ryan, E.P.; Pawelec, G.; Talib, W.H.; Stagg, J.; Elkord, E.; Lichtor, T.; Decker, W.K.; Whelan, R.L.; Kumara, H.; et al. Immune evasion in cancer: Mechanistic basis and therapeutic strategies. Semin. Cancer Biol. 2015, 35, S185–S198. [Google Scholar] [CrossRef]
  89. Wesseling, J.; van der Valk, S.W.; Hilkens, J. A mechanism for inhibition of E-cadherin-mediated cell-cell adhesion by the membrane-associated mucin episialin/MUC1. Mol. Biol. Cell 1996, 7, 565–577. [Google Scholar] [CrossRef] [Green Version]
  90. Zhang, K.; Baeckstrom, D.; Brevinge, H.; Hansson, G.C. Secreted MUC1 mucins lacking their cytoplasmic part and carrying sialyl-Lewis a and x epitopes from a tumor cell line and sera of colon carcinoma patients can inhibit HL-60 leukocyte adhesion to E-selectin-expressing endothelial cells. J. Cell Biochem. 1996, 60, 538–549. [Google Scholar] [CrossRef]
  91. Li, T.; Fu, J.; Zeng, Z.; Cohen, D.; Li, J.; Chen, Q.; Li, B.; Liu, X.S. TIMER2.0 for analysis of tumor-infiltrating immune cells. Nucleic Acids Res. 2020, 48, W509–W514. [Google Scholar] [CrossRef] [PubMed]
  92. Li, B.; Severson, E.; Pignon, J.C.; Zhao, H.; Li, T.; Novak, J.; Jiang, P.; Shen, H.; Aster, J.C.; Rodig, S.; et al. Comprehensive analyses of tumor immunity: Implications for cancer immunotherapy. Genome Biol. 2016, 17, 174. [Google Scholar] [CrossRef] [Green Version]
  93. Racle, J.; de Jonge, K.; Baumgaertner, P.; Speiser, D.E.; Gfeller, D. Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. eLife 2017, 6, e26476. [Google Scholar] [CrossRef] [PubMed]
  94. Becht, E.; Giraldo, N.A.; Lacroix, L.; Buttard, B.; Elarouci, N.; Petitprez, F.; Selves, J.; Laurent-Puig, P.; Sautes-Fridman, C.; Fridman, W.H.; et al. Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression. Genome Biol. 2016, 17, 218. [Google Scholar] [CrossRef]
  95. Newman, A.M.; Liu, C.L.; Green, M.R.; Gentles, A.J.; Feng, W.; Xu, Y.; Hoang, C.D.; Diehn, M.; Alizadeh, A.A. Robust enumeration of cell subsets from tissue expression profiles. Nat. Methods 2015, 12, 453–457. [Google Scholar] [CrossRef] [Green Version]
  96. Finotello, F.; Mayer, C.; Plattner, C.; Laschober, G.; Rieder, D.; Hackl, H.; Krogsdam, A.; Loncova, Z.; Posch, W.; Wilflingseder, D.; et al. Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data. Genome Med. 2019, 11, 34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Aran, D.; Hu, Z.; Butte, A.J. xCell: Digitally portraying the tissue cellular heterogeneity landscape. Genome Biol. 2017, 18, 220. [Google Scholar] [CrossRef] [Green Version]
  98. Komatsu, M.; Yee, L.; Carraway, K.L. Overexpression of sialomucin complex, a rat homologue of MUC4, inhibits tumor killing by lymphokine-activated killer cells. Cancer Res. 1999, 59, 2229–2236. [Google Scholar]
  99. Van de Wiel-van Kemenade, E.; Ligtenberg, M.J.; de Boer, A.J.; Buijs, F.; Vos, H.L.; Melief, C.J.; Hilkens, J.; Figdor, C.G. Episialin (MUC1) inhibits cytotoxic lymphocyte-target cell interaction. J. Immunol. 1993, 151, 767–776. [Google Scholar]
  100. Kim, Y.J.; Borsig, L.; Han, H.L.; Varki, N.M.; Varki, A. Distinct selectin ligands on colon carcinoma mucins can mediate pathological interactions among platelets, leukocytes, and endothelium. Am. J. Pathol. 1999, 155, 461–472. [Google Scholar] [CrossRef] [Green Version]
  101. Nath, D.; Hartnell, A.; Happerfield, L.; Miles, D.W.; Burchell, J.; Taylor-Papadimitriou, J.; Crocker, P.R. Macrophage-tumour cell interactions: Identification of MUC1 on breast cancer cells as a potential counter-receptor for the macrophage-restricted receptor, sialoadhesin. Immunology 1999, 98, 213–219. [Google Scholar] [CrossRef] [PubMed]
  102. Brinkman-Van der Linden, E.C.; Varki, A. New aspects of siglec binding specificities, including the significance of fucosylation and of the sialyl-Tn epitope. Sialic acid-binding immunoglobulin superfamily lectins. J. Biol. Chem. 2000, 275, 8625–8632. [Google Scholar] [CrossRef] [Green Version]
  103. Regimbald, L.H.; Pilarski, L.M.; Longenecker, B.M.; Reddish, M.A.; Zimmermann, G.; Hugh, J.C. The breast mucin MUCI as a novel adhesion ligand for endothelial intercellular adhesion molecule 1 in breast cancer. Cancer Res. 1996, 56, 4244–4249. [Google Scholar]
  104. Agrawal, B.; Krantz, M.J.; Reddish, M.A.; Longenecker, B.M. Cancer-associated MUC1 mucin inhibits human T-cell proliferation, which is reversible by IL-2. Nat. Med. 1998, 4, 43–49. [Google Scholar] [CrossRef] [PubMed]
  105. Rughetti, A.; Pellicciotta, I.; Biffoni, M.; Backstrom, M.; Link, T.; Bennet, E.P.; Clausen, H.; Noll, T.; Hansson, G.C.; Burchell, J.M.; et al. Recombinant tumor-associated MUC1 glycoprotein impairs the differentiation and function of dendritic cells. J. Immunol. 2005, 174, 7764–7772. [Google Scholar] [CrossRef] [Green Version]
  106. Monti, P.; Leone, B.E.; Zerbi, A.; Balzano, G.; Cainarca, S.; Sordi, V.; Pontillo, M.; Mercalli, A.; Di Carlo, V.; Allavena, P.; et al. Tumor-derived MUC1 mucins interact with differentiating monocytes and induce IL-10highIL-12low regulatory dendritic cell. J. Immunol. 2004, 172, 7341–7349. [Google Scholar] [CrossRef] [Green Version]
  107. Williams, M.A.; Bauer, S.; Lu, W.; Guo, J.; Walter, S.; Bushnell, T.P.; Lillehoj, E.P.; Georas, S.N. Deletion of the mucin-like molecule muc1 enhances dendritic cell activation in response to toll-like receptor ligands. J. Innate Immunol. 2010, 2, 123–143. [Google Scholar] [CrossRef] [Green Version]
  108. Gubbels, J.A.; Belisle, J.; Onda, M.; Rancourt, C.; Migneault, M.; Ho, M.; Bera, T.K.; Connor, J.; Sathyanarayana, B.K.; Lee, B.; et al. Mesothelin-MUC16 binding is a high affinity, N-glycan dependent interaction that facilitates peritoneal metastasis of ovarian tumors. Mol. Cancer 2006, 5, 50. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  109. Seelenmeyer, C.; Wegehingel, S.; Lechner, J.; Nickel, W. The cancer antigen CA125 represents a novel counter receptor for galectin-1. J. Cell Sci. 2003, 116, 1305–1318. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  110. Belisle, J.A.; Gubbels, J.A.; Raphael, C.A.; Migneault, M.; Rancourt, C.; Connor, J.P.; Patankar, M.S. Peritoneal natural killer cells from epithelial ovarian cancer patients show an altered phenotype and bind to the tumour marker MUC16 (CA125). Immunology 2007, 122, 418–429. [Google Scholar] [CrossRef] [PubMed]
  111. Patankar, M.S.; Jing, Y.; Morrison, J.C.; Belisle, J.A.; Lattanzio, F.A.; Deng, Y.; Wong, N.K.; Morris, H.R.; Dell, A.; Clark, G.F. Potent suppression of natural killer cell response mediated by the ovarian tumor marker CA125. Gynecol. Oncol. 2005, 99, 704–713. [Google Scholar] [CrossRef]
  112. Bouillez, A.; Rajabi, H.; Jin, C.; Samur, M.; Tagde, A.; Alam, M.; Hiraki, M.; Maeda, T.; Hu, X.; Adeegbe, D.; et al. MUC1-C integrates PD-L1 induction with repression of immune effectors in non-small-cell lung cancer. Oncogene 2017, 36, 4037–4046. [Google Scholar] [CrossRef] [Green Version]
  113. Maeda, T.; Hiraki, M.; Jin, C.; Rajabi, H.; Tagde, A.; Alam, M.; Bouillez, A.; Hu, X.; Suzuki, Y.; Miyo, M.; et al. MUC1-C Induces PD-L1 and Immune Evasion in Triple-Negative Breast Cancer. Cancer Res. 2018, 78, 205–215. [Google Scholar] [CrossRef] [Green Version]
  114. Gaemers, I.C.; Vos, H.L.; Volders, H.H.; van der Valk, S.W.; Hilkens, J. A stat-responsive element in the promoter of the episialin/MUC1 gene is involved in its overexpression in carcinoma cells. J. Biol. Chem. 2001, 276, 6191–6199. [Google Scholar] [CrossRef] [Green Version]
  115. Morgado, M.; Sutton, M.N.; Simmons, M.; Warren, C.R.; Lu, Z.; Constantinou, P.E.; Liu, J.; Francis, L.L.; Conlan, R.S.; Bast, R.C., Jr.; et al. Tumor necrosis factor-alpha and interferon-gamma stimulate MUC16 (CA125) expression in breast, endometrial and ovarian cancers through NFkappaB. Oncotarget 2016, 7, 14871–14884. [Google Scholar] [CrossRef] [Green Version]
  116. Cascio, S.; Zhang, L.; Finn, O.J. MUC1 protein expression in tumor cells regulates transcription of proinflammatory cytokines by forming a complex with nuclear factor-kappaB p65 and binding to cytokine promoters: Importance of extracellular domain. J. Biol. Chem. 2011, 286, 42248–42256. [Google Scholar] [CrossRef] [Green Version]
  117. Graham, R.A.; Burchell, J.M.; Taylor-Papadimitriou, J. The polymorphic epithelial mucin: Potential as an immunogen for a cancer vaccine. Cancer Immunol. Immunother. 1996, 42, 71–80. [Google Scholar] [CrossRef] [PubMed]
  118. Raina, D.; Agarwal, P.; Lee, J.; Bharti, A.; McKnight, C.J.; Sharma, P.; Kharbanda, S.; Kufe, D. Characterization of the MUC1-C Cytoplasmic Domain as a Cancer Target. PLoS ONE 2015, 10, e0135156. [Google Scholar] [CrossRef]
  119. Ahmad, R.; Alam, M.; Hasegawa, M.; Uchida, Y.; Al-Obaid, O.; Kharbanda, S.; Kufe, D. Targeting MUC1-C inhibits the AKT-S6K1-elF4A pathway regulating TIGAR translation in colorectal cancer. Mol. Cancer 2017, 16, 33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  120. GongSun, X.; Zhao, Y.; Jiang, B.; Xin, Z.; Shi, M.; Song, L.; Qin, Q.; Wang, Q.; Liu, X. Inhibition of MUC1-C regulates metabolism by AKT pathway in esophageal squamous cell carcinoma. J. Cell Physiol. 2019, 234, 12019–12028. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  121. Shigeta, K.; Hasegawa, M.; Kikuchi, E.; Yasumizu, Y.; Kosaka, T.; Mizuno, R.; Mikami, S.; Miyajima, A.; Kufe, D.; Oya, M. Role of the MUC1-C oncoprotein in the acquisition of cisplatin resistance by urothelial carcinoma. Cancer Sci. 2020, 111, 3639–3652. [Google Scholar] [CrossRef]
  122. Raina, D.; Uchida, Y.; Kharbanda, A.; Rajabi, H.; Panchamoorthy, G.; Jin, C.; Kharbanda, S.; Scaltriti, M.; Baselga, J.; Kufe, D. Targeting the MUC1-C oncoprotein downregulates HER2 activation and abrogates trastuzumab resistance in breast cancer cells. Oncogene 2014, 33, 3422–3431. [Google Scholar] [CrossRef] [Green Version]
  123. Yamamoto, M.; Jin, C.; Hata, T.; Yasumizu, Y.; Zhang, Y.; Hong, D.; Maeda, T.; Miyo, M.; Hiraki, M.; Suzuki, Y.; et al. MUC1-C Integrates Chromatin Remodeling and PARP1 Activity in the DNA Damage Response of Triple-Negative Breast Cancer Cells. Cancer Res. 2019, 79, 2031–2041. [Google Scholar] [CrossRef] [Green Version]
  124. Bouillez, A.; Rajabi, H.; Pitroda, S.; Jin, C.; Alam, M.; Kharbanda, A.; Tagde, A.; Wong, K.K.; Kufe, D. Inhibition of MUC1-C Suppresses MYC Expression and Attenuates Malignant Growth in KRAS Mutant Lung Adenocarcinomas. Cancer Res. 2016, 76, 1538–1548. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  125. Yin, L.; Kufe, T.; Avigan, D.; Kufe, D. Targeting MUC1-C is synergistic with bortezomib in downregulating TIGAR and inducing ROS-mediated myeloma cell death. Blood 2014, 123, 2997–3006. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Yin, L.; Tagde, A.; Gali, R.; Tai, Y.T.; Hideshima, T.; Anderson, K.; Avigan, D.; Kufe, D. MUC1-C is a target in lenalidomide resistant multiple myeloma. Br. J. Haematol. 2017, 178, 914–926. [Google Scholar] [CrossRef] [PubMed]
  127. Jain, S.; Washington, A.; Leaf, R.K.; Bhargava, P.; Clark, R.A.; Kupper, T.S.; Stroopinsky, D.; Pyzer, A.; Cole, L.; Nahas, M.; et al. Decitabine Priming Enhances Mucin 1 Inhibition Mediated Disruption of Redox Homeostasis in Cutaneous T-Cell Lymphoma. Mol. Cancer Ther. 2017, 16, 2304–2314. [Google Scholar] [CrossRef] [Green Version]
  128. Liu, S.; Yin, L.; Stroopinsky, D.; Rajabi, H.; Puissant, A.; Stegmaier, K.; Avigan, D.; Kharbanda, S.; Kufe, D.; Stone, R. MUC1-C oncoprotein promotes FLT3 receptor activation in acute myeloid leukemia cells. Blood 2014, 123, 734–742. [Google Scholar] [CrossRef] [Green Version]
  129. Bouillez, A.; Adeegbe, D.; Jin, C.; Hu, X.; Tagde, A.; Alam, M.; Rajabi, H.; Wong, K.K.; Kufe, D. MUC1-C promotes the suppressive immune microenvironment in non-small cell lung cancer. Oncoimmunology 2017, 6, e1338998. [Google Scholar] [CrossRef] [Green Version]
  130. Perepelyuk, M.; Sacko, K.; Thangavel, K.; Shoyele, S.A. Evaluation of MUC1-Aptamer Functionalized Hybrid Nanoparticles for Targeted Delivery of miRNA-29b to Nonsmall Cell Lung Cancer. Mol. Pharm. 2018, 15, 985–993. [Google Scholar] [CrossRef]
  131. Sacko, K.; Thangavel, K.; Shoyele, S.A. Codelivery of Genistein and miRNA-29b to A549 Cells Using Aptamer-Hybrid Nanoparticle Bioconjugates. Nanomaterials 2019, 9, 1052. [Google Scholar] [CrossRef] [Green Version]
  132. Engebraaten, O.; Sivam, G.; Juell, S.; Fodstad, O. Systemic immunotoxin treatment inhibits formation of human breast cancer metastasis and tumor growth in nude rats. Int. J. Cancer 2000, 88, 970–976. [Google Scholar] [CrossRef]
  133. Wu, G.; Kim, D.; Kim, J.N.; Park, S.; Maharjan, S.; Koh, H.; Moon, K.; Lee, Y.; Kwon, H.J. A Mucin1 C-terminal Subunit-directed Monoclonal Antibody Targets Overexpressed Mucin1 in Breast Cancer. Theranostics 2018, 8, 78–91. [Google Scholar] [CrossRef] [Green Version]
  134. Wu, G.; Maharjan, S.; Kim, D.; Kim, J.N.; Park, B.K.; Koh, H.; Moon, K.; Lee, Y.; Kwon, H.J. A Novel Monoclonal Antibody Targets Mucin1 and Attenuates Growth in Pancreatic Cancer Model. Int. J. Mol. Sci. 2018, 19, 4. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Danielczyk, A.; Stahn, R.; Faulstich, D.; Loffler, A.; Marten, A.; Karsten, U.; Goletz, S. PankoMab: A potent new generation anti-tumour MUC1 antibody. Cancer Immunol. Immunother. 2006, 55, 1337–1347. [Google Scholar] [CrossRef]
  136. Posey, A.D., Jr.; Schwab, R.D.; Boesteanu, A.C.; Steentoft, C.; Mandel, U.; Engels, B.; Stone, J.D.; Madsen, T.D.; Schreiber, K.; Haines, K.M.; et al. Engineered CAR T Cells Targeting the Cancer-Associated Tn-Glycoform of the Membrane Mucin MUC1 Control Adenocarcinoma. Immunity 2016, 44, 1444–1454. [Google Scholar] [CrossRef] [Green Version]
  137. Bottoni, P.; Scatena, R. The Role of CA 125 as Tumor Marker: Biochemical and Clinical Aspects. Adv. Exp. Med. Biol. 2015, 867, 229–244. [Google Scholar] [CrossRef] [PubMed]
  138. Schultes, B.C.; Baum, R.P.; Niesen, A.; Noujaim, A.A.; Madiyalakan, R. Anti-idiotype induction therapy: Anti-CA125 antibodies (Ab3) mediated tumor killing in patients treated with Ovarex mAb B43.13 (Ab1). Cancer Immunol. Immunother. 1998, 46, 201–212. [Google Scholar] [CrossRef] [PubMed]
  139. Pietragalla, A.; Duranti, S.; Daniele, G.; Nero, C.; Ciccarone, F.; Lorusso, D.; Fagotti, A.; Scambia, G. Oregovomab: An investigational agent for the treatment of advanced ovarian cancer. Expert Opin. Investig. Drugs 2021, 30, 103–110. [Google Scholar] [CrossRef]
  140. Brewer, M.; Angioli, R.; Scambia, G.; Lorusso, D.; Terranova, C.; Panici, P.B.; Raspagliesi, F.; Scollo, P.; Plotti, F.; Ferrandina, G.; et al. Front-line chemo-immunotherapy with carboplatin-paclitaxel using oregovomab indirect immunization in advanced ovarian cancer: A randomized phase II study. Gynecol. Oncol. 2020, 156, 523–529. [Google Scholar] [CrossRef] [PubMed]
  141. Battaglia, A.; Buzzonetti, A.; Fossati, M.; Scambia, G.; Fattorossi, A.; Madiyalakan, M.R.; Mahnke, Y.D.; Nicodemus, C. Translational immune correlates of indirect antibody immunization in a randomized phase II study using scheduled combination therapy with carboplatin/paclitaxel plus oregovomab in ovarian cancer patients. Cancer Immunol. Immunother. 2020, 69, 383–397. [Google Scholar] [CrossRef]
  142. Berek, J.S.; Taylor, P.T.; Gordon, A.; Cunningham, M.J.; Finkler, N.; Orr, J., Jr.; Rivkin, S.; Schultes, B.C.; Whiteside, T.L.; Nicodemus, C.F. Randomized, placebo-controlled study of oregovomab for consolidation of clinical remission in patients with advanced ovarian cancer. J. Clin. Oncol. 2004, 22, 3507–3516. [Google Scholar] [CrossRef] [PubMed]
  143. Berek, J.; Taylor, P.; McGuire, W.; Smith, L.M.; Schultes, B.; Nicodemus, C.F. Oregovomab maintenance monoimmunotherapy does not improve outcomes in advanced ovarian cancer. J. Clin. Oncol. 2009, 27, 418–425. [Google Scholar] [CrossRef]
  144. Reinartz, S.; Kohler, S.; Schlebusch, H.; Krista, K.; Giffels, P.; Renke, K.; Huober, J.; Mobus, V.; Kreienberg, R.; DuBois, A.; et al. Vaccination of patients with advanced ovarian carcinoma with the anti-idiotype ACA125: Immunological response and survival (phase Ib/II). Clin. Cancer Res. 2004, 10, 1580–1587. [Google Scholar] [CrossRef] [Green Version]
  145. Sabbatini, P.; Harter, P.; Scambia, G.; Sehouli, J.; Meier, W.; Wimberger, P.; Baumann, K.H.; Kurzeder, C.; Schmalfeldt, B.; Cibula, D.; et al. Abagovomab as maintenance therapy in patients with epithelial ovarian cancer: A phase III trial of the AGO OVAR, COGI, GINECO, and GEICO--the MIMOSA study. J. Clin. Oncol. 2013, 31, 1554–1561. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  146. Buzzonetti, A.; Fossati, M.; Catzola, V.; Scambia, G.; Fattorossi, A.; Battaglia, A. Immunological response induced by abagovomab as a maintenance therapy in patients with epithelial ovarian cancer: Relationship with survival-a substudy of the MIMOSA trial. Cancer Immunol. Immunother. 2014, 63, 1037–1045. [Google Scholar] [CrossRef]
  147. Battaglia, A.; Fossati, M.; Buzzonetti, A.; Scambia, G.; Fattorossi, A. A robust immune system conditions the response to abagovomab (anti-idiotypic monoclonal antibody mimicking the CA125 protein) vaccination in ovarian cancer patients. Immunol. Lett. 2017, 191, 35–39. [Google Scholar] [CrossRef]
  148. Liu, J.F.; Moore, K.N.; Birrer, M.J.; Berlin, S.; Matulonis, U.A.; Infante, J.R.; Wolpin, B.; Poon, K.A.; Firestein, R.; Xu, J.; et al. Phase I study of safety and pharmacokinetics of the anti-MUC16 antibody-drug conjugate DMUC5754A in patients with platinum-resistant ovarian cancer or unresectable pancreatic cancer. Ann. Oncol. 2016, 27, 2124–2130. [Google Scholar] [CrossRef] [PubMed]
  149. Crawford, A.; Haber, L.; Kelly, M.P.; Vazzana, K.; Canova, L.; Ram, P.; Pawashe, A.; Finney, J.; Jalal, S.; Chiu, D.; et al. A Mucin 16 bispecific T cell-engaging antibody for the treatment of ovarian cancer. Sci. Transl. Med. 2019, 11, 7534. [Google Scholar] [CrossRef]
  150. Khan, S.; Zafar, N.; Khan, S.S.; Setua, S.; Behrman, S.W.; Stiles, Z.E.; Yallapu, M.M.; Sahay, P.; Ghimire, H.; Ise, T.; et al. Clinical significance of MUC13 in pancreatic ductal adenocarcinoma. HPB 2018, 20, 563–572. [Google Scholar] [CrossRef] [Green Version]
  151. Nishii, Y.; Yamaguchi, M.; Kimura, Y.; Hasegawa, T.; Aburatani, H.; Uchida, H.; Hirata, K.; Sakuma, Y. A newly developed anti-Mucin 13 monoclonal antibody targets pancreatic ductal adenocarcinoma cells. Int. J. Oncol. 2015, 46, 1781–1787. [Google Scholar] [CrossRef] [Green Version]
  152. Chauhan, S.C.; Ebeling, M.C.; Maher, D.M.; Koch, M.D.; Watanabe, A.; Aburatani, H.; Lio, Y.; Jaggi, M. MUC13 mucin augments pancreatic tumorigenesis. Mol. Cancer Ther. 2012, 11, 24–33. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  153. Mitchell, P.L.; Quinn, M.A.; Grant, P.T.; Allen, D.G.; Jobling, T.W.; White, S.C.; Zhao, A.; Karanikas, V.; Vaughan, H.; Pietersz, G.; et al. A phase 2, single-arm study of an autologous dendritic cell treatment against mucin 1 in patients with advanced epithelial ovarian cancer. J. Immunother. Cancer 2014, 2, 16. [Google Scholar] [CrossRef] [PubMed]
  154. Gray, H.J.; Benigno, B.; Berek, J.; Chang, J.; Mason, J.; Mileshkin, L.; Mitchell, P.; Moradi, M.; Recio, F.O.; Michener, C.M.; et al. Progression-free and overall survival in ovarian cancer patients treated with CVac, a mucin 1 dendritic cell therapy in a randomized phase 2 trial. J. Immunother. Cancer 2016, 4, 34. [Google Scholar] [CrossRef] [Green Version]
  155. Kovjazin, R.; Volovitz, I.; Kundel, Y.; Rosenbaum, E.; Medalia, G.; Horn, G.; Smorodinsky, N.I.; Brenner, B.; Carmon, L. ImMucin: A novel therapeutic vaccine with promiscuous MHC binding for the treatment of MUC1-expressing tumors. Vaccine 2011, 29, 4676–4686. [Google Scholar] [CrossRef]
  156. Carmon, L.; Avivi, I.; Kovjazin, R.; Zuckerman, T.; Dray, L.; Gatt, M.E.; Or, R.; Shapira, M.Y. Phase I/II study exploring ImMucin, a pan-major histocompatibility complex, anti-MUC1 signal peptide vaccine, in multiple myeloma patients. Br. J. Haematol. 2015, 169, 44–56. [Google Scholar] [CrossRef] [Green Version]
  157. Kimura, T.; McKolanis, J.R.; Dzubinski, L.A.; Islam, K.; Potter, D.M.; Salazar, A.M.; Schoen, R.E.; Finn, O.J. MUC1 vaccine for individuals with advanced adenoma of the colon: A cancer immunoprevention feasibility study. Cancer Prev. Res. 2013, 6, 18–26. [Google Scholar] [CrossRef] [Green Version]
  158. Ramanathan, R.K.; Lee, K.M.; McKolanis, J.; Hitbold, E.; Schraut, W.; Moser, A.J.; Warnick, E.; Whiteside, T.; Osborne, J.; Kim, H.; et al. Phase I study of a MUC1 vaccine composed of different doses of MUC1 peptide with SB-AS2 adjuvant in resected and locally advanced pancreatic cancer. Cancer Immunol. Immunother. 2005, 54, 254–264. [Google Scholar] [CrossRef]
  159. Lepisto, A.J.; Moser, A.J.; Zeh, H.; Lee, K.; Bartlett, D.; McKolanis, J.R.; Geller, B.A.; Schmotzer, A.; Potter, D.P.; Whiteside, T.; et al. A phase I/II study of a MUC1 peptide pulsed autologous dendritic cell vaccine as adjuvant therapy in patients with resected pancreatic and biliary tumors. Cancer Ther. 2008, 6, 955–964. [Google Scholar] [PubMed]
  160. Pestano, L.A.; Christian, B.; Koppenol, S.; Millard, J.; Christianson, G.; Klucher, K.; Rosler, R.; Peterson, S.R. Abstract 762: ONT-10, a liposomal vaccine targeting hypoglycosylated MUC1, induces a potent cellular and humoral response and suppresses the growth of MUC1 expressing tumors. Cancer Res. 2011, 71, 762. [Google Scholar] [CrossRef]
  161. Nemunaitis, J.; Bedell, C.; Klucher, K.; Vo, A.; Whiting, S. Phase 1 dose escalation of ONT-10, a therapeutic MUC1 vaccine, in patients with advanced cancer. J. Immunother. Cancer 2013, 1, P240. [Google Scholar] [CrossRef] [Green Version]
  162. Butts, C.; Socinski, M.A.; Mitchell, P.L.; Thatcher, N.; Havel, L.; Krzakowski, M.; Nawrocki, S.; Ciuleanu, T.E.; Bosquee, L.; Trigo, J.M.; et al. Tecemotide (L-BLP25) versus placebo after chemoradiotherapy for stage III non-small-cell lung cancer (START): A randomised, double-blind, phase 3 trial. Lancet Oncol. 2014, 15, 59–68. [Google Scholar] [CrossRef] [Green Version]
  163. Gatti-Mays, M.E.; Redman, J.M.; Donahue, R.N.; Palena, C.; Madan, R.A.; Karzai, F.; Bilusic, M.; Sater, H.A.; Marte, J.L.; Cordes, L.M.; et al. A Phase I Trial Using a Multitargeted Recombinant Adenovirus 5 (CEA/MUC1/Brachyury)-Based Immunotherapy Vaccine Regimen in Patients with Advanced Cancer. Oncologist 2020, 25, 479.e899. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  164. Quoix, E.; Lena, H.; Losonczy, G.; Forget, F.; Chouaid, C.; Papai, Z.; Gervais, R.; Ottensmeier, C.; Szczesna, A.; Kazarnowicz, A.; et al. TG4010 immunotherapy and first-line chemotherapy for advanced non-small-cell lung cancer (TIME): Results from the phase 2b part of a randomised, double-blind, placebo-controlled, phase 2b/3 trial. Lancet Oncol. 2016, 17, 212–223. [Google Scholar] [CrossRef]
  165. Deisseroth, A.; Tang, Y.; Zhang, L.; Akbulut, H.; Habib, N. TAA/ecdCD40L adenoviral prime-protein boost vaccine for cancer and infectious diseases. Cancer Gene Ther. 2013, 20, 65–69. [Google Scholar] [CrossRef] [PubMed]
  166. Tan, T.J.Y.; Chia, J.W.K.; Chong, H.-S.; Li, X.; Tan, S.H.; Hopkins, R.; Wang, W.-W.; Toh, H.C. First-in-man study of Ad-sig-hMUC1/ecdCD40L vaccine for immunotherapy of MUC1 overexpressing epithelial cancers. J. Clin. Oncol. 2018, 36, 3098. [Google Scholar] [CrossRef]
Figure 1. Schematic representation of the MUC1 and MUC16 structures. (A) MUC1 is a stable heterodimeric complex with an N-terminal subunit (MUC1-N) and C-terminal subunit (MUC1-C). The variable number tandem repeat (VNTR) region in MUC1-N is composed of a 20 amino acid repeat sequence that is extensively O-glycosylated at the serine and threonine residues. SEA domain is auto-cleaved and non-covalently linked to the extracellular domain (ECD) of the MUC1-C subunit. MUC1-C is anchored in the plasma membrane of cells via its transmembrane domain (TMD). The cytoplasmic domain (CD) of MUC1 contains potential binding motifs for various signaling proteins with phosphorylation sites. (B) MUC16 is a single transmembrane glycoprotein consisting of a large N-terminal domain (MUC16-N) and tandem repeat domain (MUC16-TR) that is interspersed with an SEA domain and C-terminal domain (MUC16-C).
Figure 1. Schematic representation of the MUC1 and MUC16 structures. (A) MUC1 is a stable heterodimeric complex with an N-terminal subunit (MUC1-N) and C-terminal subunit (MUC1-C). The variable number tandem repeat (VNTR) region in MUC1-N is composed of a 20 amino acid repeat sequence that is extensively O-glycosylated at the serine and threonine residues. SEA domain is auto-cleaved and non-covalently linked to the extracellular domain (ECD) of the MUC1-C subunit. MUC1-C is anchored in the plasma membrane of cells via its transmembrane domain (TMD). The cytoplasmic domain (CD) of MUC1 contains potential binding motifs for various signaling proteins with phosphorylation sites. (B) MUC16 is a single transmembrane glycoprotein consisting of a large N-terminal domain (MUC16-N) and tandem repeat domain (MUC16-TR) that is interspersed with an SEA domain and C-terminal domain (MUC16-C).
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Figure 3. Correlation between mucin expression and tumor-infiltrating T and NK cells. Tumor infiltration analysis of CD8+ T cells and NK cells was conducted using the TIMER2.0 web portal [91]. The row names in the heatmap represent the TCGA tumor types and number of samples analyzed. Various deconvolution methods were applied to the prediction of tumor-infiltrating immune cells using TCGA bulk RNAseq data. The deconvolution methods are indicated by the column names, along with the type of lymphocyte, i.e., TIMER [92], EPIC [93], MCP-counter [94], CIBERSORT [95], quanTIseq [96] and xCell [97].
Figure 3. Correlation between mucin expression and tumor-infiltrating T and NK cells. Tumor infiltration analysis of CD8+ T cells and NK cells was conducted using the TIMER2.0 web portal [91]. The row names in the heatmap represent the TCGA tumor types and number of samples analyzed. Various deconvolution methods were applied to the prediction of tumor-infiltrating immune cells using TCGA bulk RNAseq data. The deconvolution methods are indicated by the column names, along with the type of lymphocyte, i.e., TIMER [92], EPIC [93], MCP-counter [94], CIBERSORT [95], quanTIseq [96] and xCell [97].
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Figure 4. Anti-cancer therapeutic candidates that target MUC1 and MUC16. The aberrant expression of MUC1 and MUC16 in tumors provides potential strategies for targeting these molecules to kill cancer cells. (A) The direct MUC1 inhibitor GO-203 is a cell-permeable peptide that binds and blocks MUC1-C. (B) The extracellular domain of mucin in cancer cells is a potential target for monoclonal antibody-based therapies. ADCs dump toxins into cancer cells through the endocytosis of MUC1- and MUC16-binding antibodies. BiTE can recruit CD3+ or CD28+ cytotoxic T lymphocytes to MUC1- or MUC16-overexpressing cancer cells. CAR-T or NK cells directly kill cancer cells by recognizing MUC1 and MUC16 antigens. (C) Cancer vaccines elicit an active immune response by stimulating antigen-presenting cells (e.g., dendritic cells) against mucin protein antigens.
Figure 4. Anti-cancer therapeutic candidates that target MUC1 and MUC16. The aberrant expression of MUC1 and MUC16 in tumors provides potential strategies for targeting these molecules to kill cancer cells. (A) The direct MUC1 inhibitor GO-203 is a cell-permeable peptide that binds and blocks MUC1-C. (B) The extracellular domain of mucin in cancer cells is a potential target for monoclonal antibody-based therapies. ADCs dump toxins into cancer cells through the endocytosis of MUC1- and MUC16-binding antibodies. BiTE can recruit CD3+ or CD28+ cytotoxic T lymphocytes to MUC1- or MUC16-overexpressing cancer cells. CAR-T or NK cells directly kill cancer cells by recognizing MUC1 and MUC16 antigens. (C) Cancer vaccines elicit an active immune response by stimulating antigen-presenting cells (e.g., dendritic cells) against mucin protein antigens.
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Table 1. Current therapeutic candidates that target MUC1 protein.
Table 1. Current therapeutic candidates that target MUC1 protein.
Drug NameCompanyDrug TypeIndicationDevelopment StatusIdentifiers or ReferencesRecruitment StatusStart Date
Anti-mucin-1 antibodiesUniversity of California DavisscFv antibodyCancer
Mucin-1 inhibitorQuest PharmaTechIgE monoclonal antibodyCancerPreclinical
MUC1 inhibitorsMinerva Biotechnologies Corp.Humanized single chain antibodyCancerDiscovery
Yttrium civatuzumab tetraxetanGarden State Cancer CenterRadio-labeled antibodyCancer
Pab-001PeptronADCCancerPreclinical
DS-3939Daiichi SankyoADCCancerPreclinical
SPmAbVaxil BioTherapeuticsMonoclonal antibodyCancerPreclinical
BrevaRexQuest PharmaTechAnti-idiotype mAbMultiple Myeloma,
Cancer
Phase 2
BM7-PEOslo University HospitalADCMetastatic colorectal cancerPhase 2NCT04550897Recruiting31 August 2020
Gatipotuzumab (PankoMab-GEX)Glycotope GmbHIgG1 antibodyAdvanced ovarian cancerPhase 2NCT01899599CompletedSeptember 2013
PM-CD3-GEXGlycotope GmbHBiTENSCLC, Ovary tumorPreclinical
PM-IL15-GEXGlycotope GmbHAntibody fused to IL-15Solid tumorPreclinical
PM-PDL-GEXGlycotope GmbHTrifunctional antibody (MUC1, PD-L1, and FcγR)Ovary tumorPreclinical
HuMab-TnMabVax Therapeutics HoldingsMonoclonal antibodyCancerDiscovery
M-1231EMD Serono; Sutro BiopharmaADCMetastatic cancerPhase 1NCT04695847Recruiting13 January 2021
Anti-CD3/anti-MUC1 BiTE CIK cell therapyBenhealth Biopharmaceutical (Shenzhen)BiTE; Cell therapyMetastatic cancerPhase 2NCT03146637Recruiting1 May 2017
GO-203-2CGenus Oncology LLCPeptideR/R AMLPhase 2NCT02204085Active, not recruitingSeptember 2014
GO-203-2CGenus Oncology LLCPeptideSolid tumorPhase 1NCT01279603Completed19 January 2011
Mucin1-aptamerThomas Jefferson UniversityAptamerNSCLCPreclinical
rHSP-MUC1 fusion proteinChengdu Xinlibang Bio-pharmaceuticalFusion proteinBreast tumorPhase 1
P-MUC1C-ALLO1Poseida TherapeuticsCAR-TSolid tumorPreclinical
P-MUC1C-101Poseida TherapeuticsCAR-TSolid tumorPreclinical
ICTCAR-052Innovative Cellular TherapeuticsCAR-TBreast tumorPhase 1
ICTCAR-046Innovative Cellular TherapeuticsCAR-TPancreatic tumorPhase 1
ICTCAR-053Innovative Cellular TherapeuticsCAR-TPancreatic tumorPhase 1
ICTCAR-043Innovative Cellular TherapeuticsCAR-TBreast tumorPhase 1
Tn MUC-1 CAR-TTmunity TherapeuticsCAR-TCancerPhase 1NCT04025216Recruiting10 October 2019
Anti-MUC1 CAR-T cell therapy (w or w/o) PD-1 knockout T cellGuangzhou Anjie Biomedical TechnologyCAR-TMetastatic cancerPhase 2/3NCT03525782Recruiting1 February 2018
MUC-1 pCARLeucid BioCAR-TCancerPreclinical
huMNC2-CAR44 T cellsMinerva Biotechnologies Corp.CAR-TCancerPhase 1NCT04020575Recruiting15 January 2020
Anti-MUC1 CAR-pNKPersonGen Biomedicine (Suzhou)CAR-NKMUC1-positive R/R solid tumorPhase 2NCT02839954Unknown21 July 2016
Anti-MUC1 CAR-T cell therapyPersonGen Biomedicine (Suzhou)CAR-TMUC1-positive advanced refractory solid tumorPhase 2NCT02587689Unknown27 October 2015
TAB-28zOncoTabCAR-TBreast tumorPreclinical
Anti-MUC-1 CAR-T cell therapyBaylor College of MedicineCAR-TBreast tumorPreclinical
ONKT-103ONK TherapeuticsCAR-NKSolid tumorPreclinical
Anti-MUC1 CAR-T cell therapy + anti-CTLA4 + anti-PD-1 antibodiesShanghai Cell Therapy Research InstituteCAR-TMUC1-positive advanced solid tumorPhase 2NCT03179007Unknown7 June 2017
Table 2. Current therapeutic candidates that target MUC16 and other membrane-bound mucin proteins.
Table 2. Current therapeutic candidates that target MUC16 and other membrane-bound mucin proteins.
Drug NameCompanyDrug TypeIndicationDevelopment StatusIdentifiers or ReferencesRecruitment StatusStart Date
Mab-AR-9.6Quest PharmaTechMonoclonal antibodyPancreas tumorPreclinical
Oregovomab (OvaRex)Quest PharmaTechMonoclonal antibody; Anti-idiotype induction therapyCancerPhase 3NCT04498117Recruiting25 August 2020
RG-7458 (DMUC-5754A)GenentechADCOvarian cancer, Pancreatic cancerDiscontinuedNCT01335958CompletedDay, April 2011
RG-7882 (DMUC-4064A)GenentechADCOvarian cancer, Pancreatic cancerDiscontinuedNCT02146313Completed22 June 2014
EDO-772PMundipharma EDO GmbHADCOvarian cancer
AbagovomabMenarini;
CellControl Biomedical
Anti-idiotype mAbOvarian cancerPhase 2/3NCT00418574Terminated (Failed)Day, December 2006
NAV-005NavrogenIgG1 Fc fusion proteinCancerDiscovery
REGN-4018Regeneron PharmaceuticalsBiTE (MUC16/CD3)Ovarian cancerPhase 2NCT03564340Recruiting21 May 2018
REGN-5668Regeneron PharmaceuticalsBiTE (MUC16/CD28)Ovarian cancerPhase 2NCT04590326Recruiting9 December 2020
PRGN-3005PrecigenCAR-TOvarian cancerPhase 1NCT03907527Recruiting30 April 2019
TC-220TCR2 TherapeuticsCAR-TOvarian cancerPreclinical
TC-410TCR2 TherapeuticsCAR-TOvarian cancerDiscovery
Anti-MUC16 CAR-T/PD-1 scFvEureka TherapeuticsCAR-TSolid tumorPreclinical
JCAR-020Bristol-Myers SquibbCAR-TCancerPhase 1NCT02498912Active, not recruitingDay, August 2015
Targeting other mucins
MUC13 antibodyUniversity of TennesseeMonoclonal antibodyCancerDiscovery
AMG-199AmgenBiTE (MUC17/CD3)Stomach cancer, Esophagus cancerPhase 1NCT04117958Recruiting20 January 2020
Table 3. Tumor vaccines that target mucin family proteins.
Table 3. Tumor vaccines that target mucin family proteins.
Drug NameCompanyDrug TypeIndicationDevelopment StatusIdentifiers or ReferencesRecruitment StatusStart Date
Mucin-1 vaccines
CvacSydys/Prima BioMedAutologous DC vaccineOvarian cancer, Colorectal cancer, Triple-negative breast cancerPhase 2NCT01068509CompletedJuly 2010
MUC1-Poly-ICLCUniversity of PittsburghPeptide vaccineColon cancer, NSCLCPhase 2NCT00773097CompletedOctober 2008
MUC1-DC-CTLBeijing Doing Biomedical TechnologyDC vaccine; T-cell stimulatorStomach tumorPreclinical
ETBX-061Etubics CorpAdenovirus vaccineColon cancerPhase 1/2NCT03563157Active, not recruiting25 May 2018
Advanced cancerPhase 1 NCT03384316Completed31 January 2018
Hormone refractory prostate cancerPhase 1NCT03481816Completed24 July 2018
ImMucinVaxil BioTherapeuticsPeptide vaccineBreast cancer, Multiple myeloma, Ovary tumorPhase 2NCT01232712CompletedSeptember 2010
Emepepimut-S (Tecemotide/Stimuvax/L-BLP25)Merck SeronoLiposome-encapsulated peptide vaccineCancerPhase 3
Discontinued
NCT00409188
MTIViaMune/GeoVaxPeptide vaccineCancerPreclinical
GEO-CM01GeoVaxModified-vaccina Ankara virus-like particles (MVA-VLP)CancerPreclinical
ONT-10Cascadian TherapeuticsGlycopeptide vaccineCancerPhase 1bNCT02270372CompletedNovember 2014
TG4010Transgene SAMVANSCLCPhase 2/3 (Suspended)NCT01383148TerminatedApril 2012
TG4010
Ad-sig-hMUC-1/ecdCD40L vaccine
Transgene SA
MicroVAX LLC
MVA
Adenovirus vaccine
NSCLC
Cancer
Phase 2NCT02823990Active, not recruiting14 December 2016
Phase 1NCT02140996UnknownSeptember 2014
GI-6108NantCell/Celgene/GlobeImmuneTarmogen vaccineCancerPreclinical
Mucin-16 vaccine
OvcaVaxTheralink TechnologiesCA-125/IL-2/GM-CSF vaccineOvary tumorPreclinical
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Lee, D.-H.; Choi, S.; Park, Y.; Jin, H.-s. Mucin1 and Mucin16: Therapeutic Targets for Cancer Therapy. Pharmaceuticals 2021, 14, 1053. https://doi.org/10.3390/ph14101053

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Lee D-H, Choi S, Park Y, Jin H-s. Mucin1 and Mucin16: Therapeutic Targets for Cancer Therapy. Pharmaceuticals. 2021; 14(10):1053. https://doi.org/10.3390/ph14101053

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Lee, Dong-Hee, Seunghyun Choi, Yoon Park, and Hyung-seung Jin. 2021. "Mucin1 and Mucin16: Therapeutic Targets for Cancer Therapy" Pharmaceuticals 14, no. 10: 1053. https://doi.org/10.3390/ph14101053

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Lee, D. -H., Choi, S., Park, Y., & Jin, H. -s. (2021). Mucin1 and Mucin16: Therapeutic Targets for Cancer Therapy. Pharmaceuticals, 14(10), 1053. https://doi.org/10.3390/ph14101053

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