Abstract
The MHC-I antigen presentation (AP) pathway is key to shaping mammalian CD8+ T cell immunity, with its aberrant expression closely linked to low tumor immunogenicity and immunotherapy resistance. While significant attention has been given to genetic mutations and downregulation of positive regulators that are essential for MHC-I AP, there is a growing interest in understanding how tumors actively evade MHC-I expression and/or AP through the induction of MHC-I inhibitory pathways. This emerging field of study may offer more viable therapeutic targets for future cancer immunotherapy. Here, we explore potential mechanisms by which cancer cells evade MHC-I AP and function and propose therapeutic strategies that might target these MHC-I inhibitors to restore impaired T cell immunity within the tumor microenvironment (TME).
MHC-I downregulation and immunotherapy resistance
The TME is a multifaceted ecosystem comprising heterogeneous cancer cells, stromal cells, and immune cells. Within the TME, CD8+ cytotoxic T lymphocytes (CTLs) play a crucial role in eliminating tumor cells. The generation of tumor-specific CD8+ T cell responses relies on the effective sensing of tumor antigens presented by MHC class I (MHC-I), or human leukocyte antigen (HLA), which is a heterodimer comprising a heavy chain (HC) and a β2 microglobulin (B2M) light chain, from the antigen-presenting cells (APCs) through antigen-specific T cell receptors (TCRs) on T cells. Cancer cells, in an effort to combat immune elimination, often shut down T cell activities for immune evasion. This process involves an array of inhibitory receptor–ligand interactions [1], the so-called immune checkpoints such as PD-L1/PD-1, in the interface between tumor cells and T cells. The emergence of immune checkpoint blockade (ICB) has significantly advanced the treatment of many cancer types; it is led by anti-PD-L1/PD-1 antibody therapies targeting these immune inhibitory pathways to restore or repair tumor-specific T cell immunity [2]. The success of this therapy is generally thought to arise from ‘inflamed or hot’ tumors with abundant T cell responses, and a large subset of patients do not respond to ICB therapy (primary resistance) or develop acquired resistance, especially in ‘cold’ tumor types with weak T cell infiltration and activity. With the antigenic or ‘first’ signal for CD8+ T cell activation, the downregulation of MHC-I by tumor cells or tumor-associated APCs has been closely linked to cold tumors and resistance to immunotherapy, as reviewed elsewhere [3–6]. Nevertheless, a significant challenge persists in developing therapeutic strategies that can precisely and efficiently restore MHC-I AP (Box 1) in the TME with a favorable response:immunotoxicity ratio [7]. Many existing approaches related to MHC-I modulation are intertwined with various other biological mechanisms. Here, we discuss known and possible mechanisms of MHC-I regulation in cancers, with a focus on inhibitory pathways of MHC-I expression and/or AP, as well as their presumed roles in cancer immune evasion. We think that these approaches might offer more viable therapeutic options than other strategies. We also propose, as potential future cancer immunotherapies, strategies targeting these MHC-I inhibitors beyond the modulation of positive regulators related to the complex MHC-I AP pathway (Figure 1, Key figure).
Box 1. Pathway of MHC-I AP.
The classical MHC-I AP pathway proceeds with the degradation and processing of endogenous antigens, which can be derived from pathogens like viruses post-infection or self-antigens such as tumor-associated antigens, by the cytosolic proteasome. The resulting peptides are then transported into the ER lumen via TAP1 and TAP2, an ATP-dependent process [49]. Some of the peptides, dependent on the length and composition, will be further trimmed by ER aminopeptidases (like ERAP1 and ERAP2). These trimmed peptides, normally eight to ten amino acids in length, are loaded onto the newly synthesized MHC-I molecules facilitated by the peptide loading complex (PLC) comprising the MHC-I heterodimer (a HC and a B2M), TAP, ERp57 (a protein disulfide isomerase), and the chaperone proteins TAPBP and CALR [49]. The resulting pMHC-I complexes are transported from the ER to the Golgi, and to the plasma membrane for the subsequent activation of antigen-specific CD8+ T cells (see Figure 1 in main text) [49].
Key figure Figure 1. A current understanding of antigen presentation (AP) regulatory mechanisms in tumor cells.

Tumor cells can downregulate MHC class I (MHC-I) expression and/or AP via two major mechanisms: (1) downregulation of positive regulators of AP machinery (APM) genes by genetic alterations, either directly (1.1) or indirectly [e.g., interferon (IFN) receptor signaling, JAK1/2] (1.2); and (2) the induction of an array of MHC-I inhibitory pathways. Transcription of MHC-I and other APM components is tightly controlled by gene elements associated with NF-κB, IRF1/2, and NLRC5 [5,6]. Histone deacetylases (HDACs), DNA methyltransferases (DNMTs), and Polycomb repressive complex 2 (PRC2) can reduce the accessibility of APM enhancer and promoter regions, resulting in decreased APM transcription (2.1) [3,5,6]. In addition, proteins such as TNF receptor-associated factor 3 (TRAF3), Nedd4-binding protein 1 (N4BP1), and TNFAIP3-interacting protein 1 (TNIP1), and PTPN2 and DUX4 hinder APM gene transcription by impeding NF-κB and IFN signaling pathways, respectively (2.2) [17–20]. Certain miRNAs and MEX3B/C proteins can direct APM mRNAs for degradation and subsequently suppress APM protein translation (2.3) [5,6,22,23]. Furthermore, staphylococcal nuclease and Tudor domain containing 1 (SND1) binds to the newly synthesized MHC-I in the endoplasmic reticulum (ER) lumen and targets it to ER-associated degradation (ERAD) (2.4) [24]. On the one hand, NBR1 and receptor-interacting protein kinase 2 (RIPK2) intracellularly collaborate to extract peptide-loaded MHC-I (pMHC-I) from the secretory pathway, guiding it into autophagy-mediated lysosomal degradation [25,26]; on the other hand, PCSK9, as a soluble protein, can directly interact with MHC-I on the cell surface, while sushi domain containing 6 (SUSD6)/transmembrane protein 127 (TMEM127)/WWP2 complexes cis interact with MHC-I on the cell surface, leading to MHC-I internalization and subsequent degradation in the lysosome (2.5) [27,40]. Moreover, B3GNT5 mediates excessive production of glycosphingolipid and interrupts MHC-I–T cell receptor (TCR) interactions (2.6) [28]. MHC-I inhibitors are labeled in red. Known and putative AP suppressive mechanisms are shown in yellow and blue squares, respectively. Broken lines with question marks denote pathways with unclear mechanisms. Abbreviations: HC, heavy chain; ISRE, interferon-stimulated response element. Figure created using BioRender.com.
MHC-I modulation by genetic alterations of positive regulators
A substantial body of research on MHC-I regulation in cancers has focused on genetic alterations or reduced expression of ‘positive regulators’ related to key MHC-I AP machinery (APM) components (Figure 1). For instance, homozygous loss of the MHC-I B2M light chain was reported in melanoma patients (three/69) and non-small cell lung cancer patients (one/14) who are resistant to ICB treatment [8,9]. Mutations in MHC-I HC have been also identified in several cancers, such as stomach, cervical, and head/neck cancers, as well as glioma, although at a very low frequency (<4% in pan-cancer) [3,5,10]. In addition, genetic alterations involved in peptide generation (immunoproteasome subunits PSMB8/9/10), transportation [transporter associated with antigen processing (TAP)1/2], trimming (ERAP1/2), and loading [calreticulin (CALR) and tapasin (TAPBP)] have been documented, as well as transcription factors or signaling proteins related to MHC-I induction such as JAK1/2 [downstream of interferon (IFN) cytokine signaling], CITA/NLRC5, and IRF1/2. Such alterations have been observed across multiple types of cancer, such as skin cutaneous melanoma, lung adenocarcinoma, diffuse large B cell lymphoma, and stomach adenocarcinoma (data obtained from cBioportal.org and reviewed in [3,5]). Considering the relatively infrequent occurrence of genetic alterations in these positive regulators among most cancer patients (and even in such patients), only a small fraction of tumor cells seem to harbor such genetic changes [3]. Thus, an ongoing debate persists on whether these mechanisms universally constitute the primary reasons behind the low immunogenicity observed in cancers. Additionally, the therapeutic targeting of these MHC-I positive regulators can be challenging, particularly when attempting to (re)introduce or overexpress these factors specifically within the TME. In this context, type-I IFN therapy may represent one of the earliest therapeutic approaches associated with the positive regulation of MHC-I [11]. However, it is challenging to discern its specific impact on MHC-I compared with its various other effects, due to its pleiotropic nature. Furthermore, its effectiveness has thus far been predominantly noted in the treatment of a select group of cancers including melanoma, hairy cell leukemia, and Kaposi’s sarcoma, while being accompanied by notable immune toxicities [11]. Besides type-I IFN, numerous other MHC-I positive regulators, including STING that induces type-I IFN [12], are intracellular proteins with relatively widespread expression patterns. Introducing these dysregulated factors in vivo through gene therapy or small molecules to enhance their expression or activate those pathways may provide potential solutions to this problem. However, challenges such as specific tumor delivery, efficiency, potential pleiotropic effects, and immunotoxicities could pose significant obstacles [11,13,14].
MHC-I modulation by inhibitory mechanisms as an emerging field of study
In contrast to our more comprehensive understanding of immune checkpoints as co-signaling modulators for T cells, our knowledge of inhibitory mechanisms related to the MHC-I antigenic signaling in cancers remains somewhat limited. We hypothesize that, similar to PD-L1 or other checkpoint ligands induced by cancer cells to suppress T cell activities, tumors might actively upregulate inhibitory molecules to downregulate MHC-I expression and/or AP. Targeting these pathways could potentially restore endogenous MHC-I responses and facilitate tumor control. Notably, negative regulators of MHC-I have emerged as common immune evasion mechanisms produced by many pathogens, particularly viruses, yet their study in the context of cancer remains less explored. Viruses can produce a spectrum of viral factors that actively inhibit almost every step of the MHC-I AP pathway (Table 1), as reviewed elsewhere [15,16]. Notably, during a long course of coevolution with a host, many pathogens might ‘engineer’ new proteins as advantageous MHC-I inhibitory strategies. Hypothetically, for cancer cells, it might be harder to escape immunity compared with viruses because the former can only use the tools encoded in a cell and may attempt immune escape in a limited time frame. In addition, most viruses may not induce genetic alterations at the MHC-I locus (HLA genes) in host cells, which may differ for cancer cells. However, relative to viruses, it remains unclear whether and how tumors employ similar MHC-I inhibitory tactics and whether these mechanisms represent more general and effective immune evasion strategies for cancer cells.
Table 1.
Representative viral AP inhibitory mechanismsa
| Viral origin | Virus-associated AP inhibitor | Mechanism of action | Refs |
|---|---|---|---|
| Ad12 | E1A | Transcriptional downregulation of genes encoding TAP1 and LMP2 | [50] |
| BPV | E5 | Transcriptional downregulation of genes encoding MHC-I HC | [51] |
| HIV-1 | TAT | Repression of HC and B2M promoter activity | [52,53] |
| SARS-CoV-2 | ORF6 | Suppression of type II IFN-mediated STAT1 signaling and NLRC5 and IRF1 gene expression | [54] |
| SARS-CoV-2 | ORF7a | Disruption of MHC-I assembly | [55,56] |
| SARS-CoV-2 | ORF3a | Inhibition of global protein trafficking | [55] |
| RhCMV | VIHCE | Inhibition of HC translation in a signal peptide-dependent manner | [57] |
| EBV | BILF1 | Increase in endocytosis and targeting of surface pMHC-I to lysosome | [37] |
| EBV | EBNA1 | Inhibition of proteasomal degradation | [58] |
| KSHV | LANA | Inhibition of proteasomal degradation | [59] |
| KSHV | kK3/kK5 | Increase in endocytosis and targeting surface pMHC-I to lysosome | [35,36] |
| HSV | ICP47 | Interference with TAP functionality | [60] |
| HCMV | US6 | Interference with TAP functionality | [61,62] |
| HCMV | US2 and US11 | Targeting MHC-I HC for degradation | [46] |
| HCMV | US3 | Impeding peptide loading Retention of MHC-I molecules within the ER |
[63] [64] |
| MCMV | gp40 | Retention of MHC-I molecules within the ERGIC/cis-Golgi | [65] |
| MCMV | m6/gp48 | Targeting pMHC-I to lysosome | [66] |
| MCMV | m4/gp34 | Prevention of T cell recognition | [34] |
| Adenovirus | E3/19K | Impeding peptide loading Inhibition of MHC-I glycosylation and retention of MHC-I molecules in the ER |
[67] [68] |
| VZV | ORF66 | Retention of pMHC-I in the Golgi apparatus | [69] |
| HPV | E5 | Retention of pMHC-I in the Golgi apparatus | [70] |
| MHV68 | mK3 | Targeting MHC-I HC, TAP, and TAPBP for degradation | [71] |
Abbreviations: Ad12, human adenovirus 12; BPV, bovine papillomavirus; ERGIC, ER–Golgi intermediate compartment; HCMV, human cytomegalovirus; HPV, human papillomavirus; HSV, herpes simplex virus; MHV68, murine gammaherpesvirus 68; RhCMV, rhesus cytomegalovirus; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2; VZV, varicella zoster virus.
A few recent cancer studies suggested a potential role for signaling proteins and epigenetic or transcriptional regulators in MHC-I downregulation. For instance, high expression of TNF receptor-associated factor 3 (TRAF3), Nedd4-binding protein 1 (N4BP1), and TNFAIP3-interacting protein 1 (TNIP1), suppressors of the NF-κB and IFN signaling pathways, was negatively correlated with MHC-I expression as well as with survival in cancer patients (several cancer types, including neuroblastoma) [17,18]. Knocking out of the genes encoding these proteins also promoted MHC-I expression in melanoma and neuroblastoma cells and sensitized cancer cells to CTL cytotoxicity and ICB responses [17,18]. PTPN2 and DUX4 suppressed IFN-γ-mediated MHC-I induction through distinct mechanisms related to JAK1 and/or STAT1 [19,20]. Moreover, epigenetic regulators such as Polycomb repressive complex 2 (PRC2), DNA methyltransferases (DNMTs), and histone deacetylases (HDACs) impeded access to promoter/enhancer regions of transcription factors related to the expression of MHC-I and the APM components [3,5,6]. Treatment using demethylating drugs or inhibitors targeting EZH2 (the catalytic core of PRC2) or HDACs increased MHC-I expression and enhanced CTL activity [3,5,6,21]. Moreover, thymidylate synthetase, involved in DNA replication and repair, has been associated with MHC-I regulation in human lymphoma cells [21]. Some miRNAs were also reported to impede the translation of APM components such as NLRC5, HLA-C, TAP, Erp57, calnexin, and PSMB8/LMP7 [5,6]. In addition, the RNA-binding protein MEX3B and RNA-binding E3 ubiquitin-protein ligase MEX3C can bind to the 3′-UTR of HLA-A mRNA, leading to its destabilization and reduced surface expression [22,23] (Figure 1).
Furthermore, recent findings suggest very specific mechanisms related to MHC-I inhibition. The oncoprotein staphylococcal nuclease and Tudor domain containing 1 (SND1) directly interacted with the MHC-I HC in the endoplasmic reticulum (ER) lumen and hijacked the nascent HC to ER-associated degradation (ERAD) by the cytosolic proteasome. Consequently, knocking out of SND1 enhanced MHC-I expression and reduced tumor progression in melanoma mouse models [24]. Also, the intracellular protein autophagy cargo receptor NBR1 and receptor-interacting protein kinase 2 (RIPK2) synergistically directed MHC-I for autophagy-mediated lysosomal degradation in pancreatic cancer mouse models [25,26]. Knocking down of NBR1 or RIPK2 by shRNA or inhibition of autophagy restored MHC-I expression and AP in pancreatic cancer cells and sensitized pancreatic ductal adenocarcinoma (PDAC) to ICB therapy in orthotopic mouse models [25,26]. In addition, the secreted protein PCSK9, a regulator of low-density lipoprotein (LDL) receptors, interacted with MHC-I on the cell surface, leading to its internalization and subsequent lysosomal degradation [27]. Consequently, PCSK9 neutralizing antibodies potentiated ICB therapy in melanoma and mammary carcinoma murine models [27]. Beyond these pathways, in various tumor models, a surface MHC-I masking mechanism was shown to hinder the accessibility of MHC-I to CTL TCR recognition and anti-MHC-I antibodies via B3GNT5-mediated promotion of cell-surface glycosphingolipid (GSL) synthesis; this in turn was overcome by overexpression of SPPL3, an enzyme that proteolytically inactivates B3GNT5 [28]. Accordingly, the application of clinically approved GSL synthesis inhibitors enhanced MHC-I accessibility and CTL responses in vitro [28], suggesting an important role for the GSL pathway in MHC-I regulation (Figure 1).
In general, it is exciting to witness the growing body of work evaluating MHC-I inhibitors in the context of cancer. Future studies are eagerly anticipated to delve into their detailed mechanisms, their cancer relevance, and the development of targeted approaches and to examine their therapeutic potential in the treatment of cancer. However, given the wide range of functions of many of these molecules – which extend beyond MHC-I regulation – it also becomes essential to meticulously dissect their specific influence on MHC-I in contrast to their diverse effects, especially in cancers. For instance, it is worth noting that targeting NBR1 and PCSK9 might also impact postnatal osteoblastic bone formation and lipid metabolism, respectively [29,30]. Furthermore, although specific types of GSLs have been proposed as tumor-associated antigens, GSL synthesis inhibitors are used to treat lysosomal storage diseases such as Gaucher disease [31]. Additionally, most of these molecules, except PCSK9, are intracellular proteins with broad expression, which pose challenges when attempting to target them, similar to the potential obstacles in targeting MHC-I positive regulators.
In our perspective, there is an increasing need to uncover additional cancer-specific MHC-I inhibitory mechanisms, which include but are not limited to: (i) other extracellular proteins that are specifically produced by cancer cells or the TME and are directly associated with the downregulation of MHC-I expression, and which might serve as putative targets for antibody or small molecule-based therapeutics; (ii) intracellular proteins with specific expression in cancer cells or the TME and a predominant role in regulating MHC-I, and which might serve as candidate therapeutic targets for siRNA or small-molecule drug interventions; and (iii) other factors that go beyond the general regulation of MHC-I expression and instead specifically modulate the process of MHC-I AP. Studies to uncover other key MHC-I evasion mechanisms in the TME will also be pivotal. For instance, acidification, which is a cancer hallmark and can regulate MHC-II on APCs, should be investigated [32,33]. We posit that these areas of research may hold significant promise in advancing our understanding of cancer immune evasion of MHC-I AP and the potential development of novel therapeutic strategies to increase the quality and quantity of tumor-specific CD8+ T cells.
A membrane-associated MHC-I inhibitory axis
When reviewing the MHC-I inhibitory mechanisms employed by viruses, it becomes apparent that, in addition to hijacking various intracellular steps of MHC-I AP (as outlined in Table 1), viral factors possess the ability to directly engage with MHC-I through cis interactions on the plasma or organelle membrane, mediating MHC-I downregulation. For instance, the murine cytomegalovirus (MCMV) m4/gp34 protein is associated with peptide-loaded MHC-I (pMHC-I) on the cell surface to prevent specific MHC-I allele-restricted CTL recognition [16,34]. Increased H2-Kb-restricted CTL-mediated lysis of B6 mouse embryo fibroblasts was observed in cells infected with a MCMV m4/gp34 deletion mutant [34]. Moreover, overexpression of Kaposi’s sarcoma-associated herpesvirus (KSHV) kK3/kK5 in BJAB cells or HeLa cells and Epstein–Barr virus (EBV) BILF1 in 293 or MJS cells induced robust MHC-I internalization and lysosomal degradation through direct association with MHC-I [35–37]. Surprisingly, this type of mechanism has rarely been studied in the context of cancer. Nevertheless, recent findings suggest the importance of immune cis interactions in regulating T cell responses, such as cis PD-L1/B7–1 to disrupt PD-1 interaction and facilitate T cell activation through CD28 [38], as well as cis PD-L1/CMTM6 interactions to stabilize PD-L1 [39]. Therefore, a question arises: could tumors employ similar cis membrane interactions to mediate surface MHC-I inhibition?
To answer this question, our group recently performed genome-wide pMHC-I-guided CRISPR-Cas9 screens in both human and mouse acute myeloid leukemia (AML) cell lines and constructed a comprehensive network of both positive and negative regulators of membrane MHC-I expression [40]. Many of those negative AP regulators are associated with protein ubiquitination, vesicular transport, DNA metabolism processes, and the cell cycle. In particular, sushi domain containing 6 (SUSD6), transmembrane protein 127 (TMEM127), and the E3 ubiquitin ligase WWP2 emerged as the top candidates affecting both MHC-I expression and MHC-I AP [40]. Genetic ablation of SUSD6 and TMEM127 enhanced tumor MHC-I expression and MHC-I AP as well as tumor-specific CD8+ T cell responses in vitro. Furthermore, SUSD6 and TMEM127 depletion by shRNA or sgRNA significantly controlled tumor growth and extended animal survival in our well-established C1498 leukemia and B16F10-OVA melanoma mouse syngeneic tumor models; moreover, survival was associated with improved CD8+ T cell infiltration and effector function in the TME. Mechanistically, SUSD6 and TMEM127 directly interacted with MHC-I molecules in cis and recruited the E3 ligase WWP2 to the proximity of the MHC-I cytosolic tail for its ubiquitination. The ubiquitinated MHC-I was subsequently targeted for lysosomal degradation, leading to reduced MHC-I expression and T cell activation [40]. Our findings highlight the SUSD6, TMEM127, and WWP2 (STW) axis as a tumor-associated MHC-I inhibitory axis in blood and solid cancers. Importantly, we also found that these molecules are highly expressed in a number of cancers (most of which are cold tumors), including AML, pancreatic cancers, and others; the expression of these molecules was negatively associated with patient survival or response to immunotherapy [40]. Of note, TMEM127 and WWP2 can directly associate with MHC-II degradation in the presence of the Salmonella effector protein SteD [41]. This is interesting as it suggests a convergent, albeit different, mechanism that can be employed by both tumors and certain pathogens.
Several intriguing questions remain for further investigation regarding this membrane-associated MHC-I inhibitory axis. These include: (i) the underlying mechanisms regulating the expression of these molecules in various cancer or immune cells; (ii) the specific interacting interfaces among these molecules; (iii) the intracellular pathways employed by the STW complex to transport surface MHC-I into the lysosome; (iv) the potential functions of these molecules beyond their role in MHC-I modulation; and (v) the development of therapeutic strategies to target these molecules for immunotherapy in cancers and/or other human diseases. Furthermore, it is also worthwhile to study other putative inhibitors that were identified in our laboratory screens as well as those of others. The investigation of such molecules in MHC-I modulation and tumor immunity may facilitate our understanding of immune regulation in the TME and foster potential MHC-I inhibitor-based cancer immunotherapies.
Clinical studies related to MHC-I inhibitory mechanisms
Given the central roles of MHC-I regulation in antitumor T cell immunity, efforts have been made to uncover therapeutic strategies to restore aberrant MHC-I expression and/or boost MHC-I AP in cancers. As mentioned above, several approaches related to the reintroduction of positive regulators, such as type-I IFN or STING agonists, have been used in a number of cancer trials [11,14]. For instance, type-I IFN can be effective in some cancer patients despite the potential to elicit severe side effects and broader effects beyond MHC-I modulation [11]. Unfortunately, STING agonists have been often linked to high immune toxicities and limited efficacy when administered systemically [14]. Tumor-specific delivery of these agents, along with gene therapy targeting other positive regulators, might constitute possible options to improve the therapeutic window; however, delivering treatments to tumors has remained a longstanding challenge [13]. Although radiotherapy and chemotherapy have been shown to upregulate cancer MHC-I expression [42], this was not our focus here.
On the flip side, we are still in the early stages of exploring the therapeutic potential of MHC-I inhibitory pathways, and several programs targeting these aforementioned mechanisms are still being evaluated in clinical trials. For instance, the EZH2 inhibitors tazemetostat (NCT05467748)i and XNW5004 (NCT06022757)ii, in combination with PD-1 blockage, are now under Phase 1/2 evaluation (Table 2). Given the potential involvement of autophagy in MHC-I regulation [25], several autophagy inhibitors, such as chloroquine and ezurpimtrostat, are now being assessed for cancer immunotherapy in different clinical settings (NCT04214418iii, NCT05448677iv). Moreover, two PCSK9 monoclonal antibodies have entered clinical trials in combination with anti-PD-1 ICB in metastatic cancers (NCT05553834v and NCT05128539vi), following promising preclinical data [27]. Inhibitors of GSL synthetase ([28]; NCT04944888vii), SMAC ([17]; NCT05082259viii, NCT04122625ix), thymidylate synthase ([21]; NCT04396457), DNMTs ([43]; NCT02260440x), HDACs (NCT02437136xi), MEK (NCT04216953xii), BET (NCT05422794xiii), and the androgen receptor ([44]; NCT04946370xiv), among others, are currently also under clinical investigation to explore their potential in cancer immunotherapy (Table 2).
Table 2.
Representative clinical trials targeting tumor AP inhibitory mechanismsa
| NCT number | Phase | Targeted cancer | Design | Primary endpoint | Severe adverse event (grade ≥3) | Status | Registration | Trial report |
|---|---|---|---|---|---|---|---|---|
| NCT05553834 v | 2 | Metastatic lung cancer | Single arm, open label | Response rate | N/A | Recruiting | USA | No results |
| NCT05128539 vi | 1 | Advanced cancers | Single arm, open label | 1. AE, SAE, irAE (3 years); 2. DLTs (3 years); 3. MTD (1 year); 4. RDE (1 year) | N/A | Recruiting | China | No results |
| NCT05467748 i | 1b/2 | Advanced non-small cell lung cancer | Single arm, open label | 1. ORR (2 years); 2. S&T (2 years) | N/A | Not yet recruiting | USA | No results |
| NCT06022757 ii | 1b/2 | Advanced solid tumors | Single arm, open label | Phase 1b. RP2D (21 days); Phase 2. ORR (Phase 2) (baseline, every 9 weeks in the first 54 weeks, then every 12 weeks thereafter until confirmed disease) | N/A | Not yet recruiting | N/A | No results |
| NCT05448677 iv | 2b | Unresectable hepatocellular carcinoma | Randomized | PFS (36 months) | N/A | Recruiting | France | No results |
| NCT04214418 iii | 1/2 | Advanced cancers with KRAS mutation | Single arm, open label | Phase 1: MTD (16 weeks); Phase 2: MTD (based on Phase 1) | 1. Grade 3 or higher TRAEs: 50%; 2. Grade 5 TRAEs: 7% | Active, not recruiting | USA | [72] |
| NCT04944888 vii | 1 | Advanced relapsed or refractory hematological malignancies and previously treated solid tumors | Single arm, open label | Number of subjects occurring treatment-related adverse events (90 days after the last dose) | N/A | Completed | China | No results |
| NCT05082259 viii | 1 | Advanced cancer, cervical cancer, triple-negative breast cancer | Single arm, open label | 1. MTD RP2D (12 months); 2. S&T (12 months); 3. Preliminary antitumor activity evaluation (in Part B) (24 months) | N/A | Recruiting | UK | No results |
| NCT04122625 ix | 1/2 | Specific solid tumors | Single arm, open label | 1. DLTs (28 days); 2. Part B: ORR (2.05 years) | Part B: grade ≥3 TRAEs: 25.7% | Completed | France, Spain, USA | [73] |
| NCT04396457 x | 2 | Non-squamous non-small cell lung cancer | Single arm, open label | ORR (3 years) | N/A | Active, not recruiting | Japan | No results |
| NCT02260440 xi | 2 | Chemotherapy refractory metastatic colorectal cancer | Single arm, open label | ORR (14 months) | Grade ≥3 TRAEs: 2.5% | Completed | USA | [74] |
| NCT02437136 xii | 1b/2 | Non-small cell lung cancer, melanoma, and mismatch repair-proficient colorectal cancer | Single arm, open label | 1. S&T (3–4 months); 2. ORR (1–2 years) | Grade ≥3 TRAEs: 18.8% | Completed | USA | [75] |
| NCT04216953 xiii | 1/2 | Locally advanced and/or metastatic soft tissue sarcoma | Single arm, open label | PFR (16 weeks) | N/A | Recruiting | France | No results |
| NCT05422794 xiv | 1 | Metastatic triple-negative breast cancer | Single arm, open label | 1. MTD (28 days); 2. RP2D (28 days); 3. IAE (3 years) | N/A | Recruiting | USA | No results |
| NCT04946370 xv | 1/2 | Progressive metastatic castration-resistant prostate cancer | Randomized | 1. DLT (12 weeks); 2. RP2D (12 weeks); 3. CRR (100 months) | N/A | Recruiting | USA | No results |
Abbreviations: AE, adverse event; CRR, composite response rate; DCR, disease control rate; DLT, dose-limiting toxicity; IAE, incidence of adverse events; irAE, immune-related adverse event; MTD, maximum tolerated dose; ORR, objective response rate; PFR, progression-free rate; PFS, progression-free survival; RDE, recommended dose for extension; RP2D, recommended Phase 2 dose; S&T, safety and tolerability; SAE, serious adverse event; TRAE, treatment-related adverse event.
Strictly speaking, many of these pathways are associated with other critical cellular functions, making it challenging to determine their specific contribution to MHC-I modulation. While we argue that targeting MHC-I inhibitory pathways may represent a highly viable option in cancer therapeutics, it is essential that we critically evaluate these molecules and further identify those pathways with strong relevance to tumors and specific functions in MHC-I modulation, especially for different types of cancers. Given the specific role of STW complexes in MHC-I inhibition and their high expression in blood and solid cancers, it will be interesting to further explore this inhibitory axis and develop therapeutic strategies for cancer immunotherapy that rely on antibodies or small molecules.
Concluding remarks
While MHC-I AP represents a fundamental pathway for T cell immunity, there is limited knowledge of how tumor cells actively evade this critical immunological process. MHC-I evasion can occur via the induction of MHC-I inhibitors that extend beyond genetic alterations of MHC-I positive regulators. As discussed in this opinion, many known MHC-I inhibitors execute broad functions beyond MHC-I modulation. This highlights the need to delve deeper into the elucidation of specific mechanisms of regulated MHC-I expression that are robustly relevant for certain tumors. This is a rising field of study with many key questions that remain to be addressed (see Outstanding questions).
Outstanding questions.
Specificity matters. Many of the pathways known to inhibit MHC-I function are intricately linked to crucial cellular processes, making it challenging to pinpoint their precise role in MHC-I modulation. This complexity can limit their potential as viable targets for cancer immunotherapy. Can we identify additional tumor-related pathways that effectively modulate tumor immunity with minimal impact on other tissues and biological functions? To achieve this, comprehensive exploration, including an analysis of pathway component expression profiles, proteomic or transcriptomic studies of tumor cells with or without genetic deletions, and a thorough understanding of their mechanisms of action, will be crucial to dissect their specificity in MHC-I regulation and their potential for clinical translation.
Are there any specific mechanisms to control AP but not MHC-I expression? Beyond inhibitory mechanisms of MHC-I expression, it is important to dissect specific mechanisms of MHC-I AP, such as antigen processing, loading, and trafficking, but not MHC-I per se.
What lies beyond the evaluation of major MHC-I types? Beyond the major MHC-I alleles, the nonclassical, less polymorphic HLA-E/F/G minor MHC-I molecules can engage immune inhibitory receptors such as NKG2A, killer-cell immunoglobulin-like receptors (KIRs), and LILRB1 [45], mediating immune suppression of T cells and natural killer (NK) cells. Thus, cancer-associated mechanisms of minor HLA-E/F/G modulation deserve careful investigation. It is also important to dissect differential mechanisms of the regulation of major and minor MHC-I/HLA molecules, as suggested by studies in viruses [46]. An ideal therapeutic strategy may be to enhance major MHC-I expression and/or AP but devoid of effects or reducing minor MHC-I expression, which may maximize tumor immunity.
What lies beyond looking at cancer cells? Bioinformatic analysis has shown enrichment of SUSD6 and TMEM127 mRNA transcripts in various immune cells, especially in professional APCs [40]. This suggests that MHC-I inhibitory mechanisms may not be limited to cancer cells. Their immunological function in APCs, such as in MHC-I cross-presentation that is crucial for CD8+ T cell responses, awaits further investigation.
Can AP inhibitors serve as biomarkers for clinical prognosis? Other than tumor mutation burden (TMB) or APM genes themselves as potential biomarkers for ICB immunotherapy [47], it is worthwhile exploring the biomarker value of tumor-associated MHC-I inhibitory pathways, as in the case of PCSK9 (by plasma or tissue expression), SUSD6, TMEM127 (tissue expression), etc. These might serve as clinical prognosis tools and be helpful in predicting ICB outcomes.
What additional therapeutic approaches and applications might there be in this context? Other than antibodies or small molecules, novel strategies might be added to the toolbox in targeting MHC-I inhibitory pathways for cancer immunotherapy. For instance, the proteolysis targeting chimera (PROTAC), which utilizes a small molecule to link the target and a specific E3 ubiquitin ligase, might potentially degrade specific MHC-I inhibitors, and gene editing of CAR macrophages [48] might be considered to facilitate better MHC-I AP or to prime tumor-specific T cells in cancers.
One important limitation to our viewpoint is that immunotherapy resistance can be caused by other mechanisms beyond MHC-I AP, such as MHC-II regulation, and other putative mechanisms of immune suppression of T cells, myeloid cells, or stromal cells. The relative contributions of diverse mechanisms in the control of tumor immunity require thorough examination, especially for different types of cancers. Other than cis regulation of MHC-I, trans regulation via cell–cell interactions is also possible. Moreover, MHC-I inhibitory mechanisms might fluctuate over time during cancer development; therefore, it will be important to design diagnosis tools to monitor these changes. Conceivably, certain cancer types might not exhibit a dominant MHC-I inhibitory mechanism, which highlights the importance of patient stratification. Nevertheless, we posit that the discovery and rigorous characterization of tumor-associated MHC-I inhibitory pathways will be pivotal to furthering our understanding of MHC-I regulation in cancers and inform novel MHC-I inhibitor-based candidate therapies to overcome immunotherapy resistance.
Highlights.
An aberrant MHC-I antigen presentation pathway has been closely linked to low tumor immunogenicity and immunotherapy resistance.
Genetic alteration or reduced expression of MHC-I positive regulators has been observed in certain cancers, but is considered a challenge for the development of targeted therapies.
MHC-I modulation by cancer-associated inhibitory mechanisms is becoming an emerging field of study, calling for a search for specific modulators and their underlying biology and function in MHC-I modulation and tumor immunity.
A membrane-associated MHC-I inhibitory axis was recently documented, mediating MHC-I ubiquitination and subsequent lysosomal degradation in leukemia and solid cancers.
We posit that the future exploration of MHC-I inhibitory pathways and their potential application represents an exciting direction for cancer immunotherapy.
Significance.
Cancer cells efficiently hijack the MHC-I antigen presentation (AP) pathway to escape from immunosurveillance and cause resistance to immunotherapy. Exploring specific mechanisms that actively inhibit MHC-I expression and/or AP in tumors can improve our understanding of immune regulation in cancers and provide potential targets for next-generation cancer immunotherapy.
Acknowledgments
This work is supported by the Mark Foundation ASPIRE Award to J.W. I.A. is supported by the National Institutes of Health (NIH; National Cancer Institute and National Heart, Lung, and Blood Institute) (R01CA216421, R01CA173636, 1R01CA228135, R01CA242020, and 1R01HL159175), the Vogelstein Foundation, and the Evans MDS Foundation. J.W. is also supported by the NIH (R01CA269898, R37CA273333-01, and R21AI163924-02), the V Foundation, and the Melanoma Research Alliance. X.C. is supported by the Leukemia Research Foundation New Investigator Research Grant and the American Society of Hematology Scholar Award. Q.L. is the recipient of a Cancer Research Institute Irvington Postdoctoral Fellowship (CRI4179).
Footnotes
Declaration of interests
J.W. is on the Scientific Advisory Board of Rootpath Genomics and is a consultant for Bristol Myers Squibb (Relatlimab Advisory Council) and Hanmi Pharmaceutical Co., Ltd. The other authors have no interests to declare.
Resources
References
- 1.Chen L and Flies DB (2013) Molecular mechanisms of T cell co-stimulation and co-inhibition. Nat. Rev. Immunol 13, 227–242 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Ribas A and Wolchok JD (2018) Cancer immunotherapy using checkpoint blockade. Science 359, 1350–1355 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Jhunjhunwala S et al. (2021) Antigen presentation in cancer: insights into tumour immunogenicity and immune evasion. Nat. Rev. Cancer 21, 298–312 [DOI] [PubMed] [Google Scholar]
- 4.Vesely MD et al. (2022) Resistance mechanisms to anti-PD cancer immunotherapy. Annu. Rev. Immunol 40, 45–74 [DOI] [PubMed] [Google Scholar]
- 5.Dhatchinamoorthy K et al. (2021) Cancer immune evasion through loss of MHC class I antigen presentation. Front. Immunol 12, 636568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Maggs L et al. (2021) HLA class I antigen processing machinery defects in antitumor immunity and immunotherapy. Trends Cancer 7, 1089–1101 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Sanmamed MF and Chen L (2018) A paradigm shift in cancer immunotherapy: from enhancement to normalization. Cell 175, 313–326 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Sade-Feldman M et al. (2017) Resistance to checkpoint blockade therapy through inactivation of antigen presentation. Nat. Commun 8, 1136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Gettinger S et al. (2017) Impaired HLA class I antigen processing and presentation as a mechanism of acquired resistance to immune checkpoint inhibitors in lung cancer. Cancer Discov. 7, 1420–1435 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rooney MS et al. (2015) Molecular and genetic properties of tumors associated with local immune cytolytic activity. Cell 160, 48–61 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Abdolvahab MH et al. (2020) Interferons: role in cancer therapy. Immunotherapy 12, 833–855 [DOI] [PubMed] [Google Scholar]
- 12.Sun L et al. (2013) Cyclic GMP-AMP synthase is a cytosolic DNA sensor that activates the type I interferon pathway. Science 339, 786–791 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Huang J et al. (2022) CRISPR/Cas systems: delivery and application in gene therapy. Front. Bioeng. Biotechnol 10, 942325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Motedayen Aval L et al. (2020) Challenges and opportunities in the clinical development of STING agonists for cancer immunotherapy. J. Clin. Med 9, 3323. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Seliger B et al. (2006) Molecular mechanisms of HLA class I antigen abnormalities following viral infection and transformation. Int. J. Cancer 118, 129–138 [DOI] [PubMed] [Google Scholar]
- 16.Horst D et al. (2011) Viral evasion of T cell immunity: ancient mechanisms offering new applications. Curr. Opin. Immunol 23, 96–103 [DOI] [PubMed] [Google Scholar]
- 17.Gu SS et al. (2021) Therapeutically increasing MHC-I expression potentiates immune checkpoint blockade. Cancer Discov. 11, 1524–1541 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Spel L et al. (2018) Nedd4-binding protein 1 and TNFAIP3-interacting protein 1 control MHC-1 display in neuroblastoma. Cancer Res. 78, 6621–6631 [DOI] [PubMed] [Google Scholar]
- 19.Chew G-L et al. (2019) DUX4 suppresses MHC class I to promote cancer immune evasion and resistance to checkpoint blockade. Dev. Cell 50, 658–671.e657 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Manguso RT et al. (2017) In vivo CRISPR screening identifies Ptpn2 as a cancer immunotherapy target. Nature 547, 413–418 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Dersh D et al. (2021) Genome-wide screens identify lineage- and tumor-specific genes modulating MHC-I- and MHC-II-restricted immunosurveillance of human lymphomas. Immunity 54, 116–131.e110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Cano F et al. (2015) A non-proteolytic role for ubiquitin in deadenylation of MHC-I mRNA by the RNA-binding E3-ligase MEX-3C. Nat. Commun 6, 8670. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Huang L et al. (2018) The RNA-binding protein MEX3B mediates resistance to cancer immunotherapy by downregulating HLA-A expression. Clin. Cancer Res 24, 3366–3376 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Wang Y et al. (2020) Oncoprotein SND1 hijacks nascent MHC-I heavy chain to ER-associated degradation, leading to impaired CD8+ T cell response in tumor. Sci. Adv 6, eaba5412. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Yamamoto K et al. (2020) Autophagy promotes immune evasion of pancreatic cancer by degrading MHC-I. Nature 581, 100–105 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sang W et al. (2024) Receptor-interacting protein kinase 2 is an immunotherapy target in pancreatic cancer. Cancer Discov. 14, 326–347 [DOI] [PubMed] [Google Scholar]
- 27.Liu X et al. (2020) Inhibition of PCSK9 potentiates immune checkpoint therapy for cancer. Nature 588, 693–698 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Jongsma MLM et al. (2021) The SPPL3-defined glycosphingolipid repertoire orchestrates HLA class I-mediated immune responses. Immunity 54, 132–150.e139 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Whitehouse CA et al. (2010) Neighbor of Brca1 gene (Nbr1) functions as a negative regulator of postnatal osteoblastic bone formation and p38 MAPK activity. Proc. Natl. Acad. Sci. U. S. A 107, 12913–12918 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lambert G et al. (2012) The PCSK9 decade: thematic review series: new lipid and lipoprotein targets for the treatment of cardiometabolic diseases. J. Lipid Res 53, 2515–252422811413 [Google Scholar]
- 31.Shayman JA and Larsen SD (2014) The development and use of small molecule inhibitors of glycosphingolipid metabolism for lysosomal storage diseases. J. Lipid Res 55, 1215–1225 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Brown TP et al. (2020) The lactate receptor GPR81 promotes breast cancer growth via a paracrine mechanism involving antigen-presenting cells in the tumor microenvironment. Oncogene 39, 3292–3304 [DOI] [PubMed] [Google Scholar]
- 33.Colegio OR et al. (2014) Functional polarization of tumour-associated macrophages by tumour-derived lactic acid. Nature 513, 559–563 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Kavanagh DG et al. (2001) The multiple immune-evasion genes of murine cytomegalovirus are not redundant: m4 and m152 inhibit antigen presentation in a complementary and cooperative fashion. J. Exp. Med 194, 967–978 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Ishido S et al. (2000) Downregulation of major histocompatibility complex class I molecules by Kaposi’s sarcoma-associated herpesvirus K3 and K5 proteins. J. Virol 74, 5300–5309 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Coscoy L and Ganem D (2000) Kaposi’s sarcoma-associated herpesvirus encodes two proteins that block cell surface display of MHC class I chains by enhancing their endocytosis. Proc. Natl. Acad. Sci. U. S. A 97, 8051–8056 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Zuo J et al. (2009) The Epstein–Barr virus G-protein-coupled receptor contributes to immune evasion by targeting MHC class I molecules for degradation. PLoS Pathog. 5, e1000255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sugiura D et al. (2019) Restriction of PD-1 function by cis-PD-L1/CD80 interactions is required for optimal T cell responses. Science 364, 558–566 [DOI] [PubMed] [Google Scholar]
- 39.Mezzadra R et al. (2017) Identification of CMTM6 and CMTM4 as PD-L1 protein regulators. Nature 549, 106–110 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Chen X et al. (2023) A membrane-associated MHC-I inhibitory axis for cancer immune evasion. Cell 186, 3903–3920.e3921 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Alix E et al. (2020) The tumour suppressor TMEM127 is a Nedd4-family E3 ligase adaptor required by Salmonella SteD to ubiquitinate and degrade MHC class II molecules. Cell Host Microbe 28, 54–68.e57 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Wan S et al. (2012) Chemotherapeutics and radiation stimulate MHC class I expression through elevated interferon-β signaling in breast cancer cells. PLoS One 7, e32542. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Luo N et al. (2018) DNA methyltransferase inhibition upregulates MHC-I to potentiate cytotoxic T lymphocyte responses in breast cancer. Nat. Commun 9, 248. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Chesner L et al. (2023) AR inhibition increases MHC class I expression and improves immune response in prostate cancer. Cell, Published online March 30, 2023. 10.2139/ssrn.4403436 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Vély F et al. (2016) HLA – fatal attraction. Nat. Immunol 17, 1012–1014 [DOI] [PubMed] [Google Scholar]
- 46.Schust DJ et al. (1998) Trophoblast class I major histocompatibility complex (MHC) products are resistant to rapid degradation imposed by the human cytomegalovirus (HCMV) gene products US2 and US11. J. Exp. Med 188, 497–503 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Chan TA et al. (2019) Development of tumor mutation burden as an immunotherapy biomarker: utility for the oncology clinic. Ann. Oncol 30, 44–56 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Klichinsky M et al. (2020) Human chimeric antigen receptor macrophages for cancer immunotherapy. Nat. Biotechnol 38, 947–953 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Blum JS et al. (2013) Pathways of antigen processing. Annu. Rev. Immunol 31, 443–473 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Proffitt JA and Blair GE (1997) The MHC-encoded TAP1/LMP2 bidirectional promoter is down-regulated in highly oncogenic adenovirus type 12 transformed cells. FEBS Lett. 400, 141–144 [DOI] [PubMed] [Google Scholar]
- 51.Ashrafi GH et al. (2002) Down-regulation of MHC class I by bovine papillomavirus E5 oncoproteins. Oncogene 21, 248–259 [DOI] [PubMed] [Google Scholar]
- 52.Howcroft TK et al. (1993) Repression of MHC class I gene promoter activity by two-exon Tat of HIV. Science 260, 1320–1322 [DOI] [PubMed] [Google Scholar]
- 53.Carroll IR et al. (1998) HIV Tat represses transcription of the β2-microglobulin promoter. Mol. Immunol 35, 1171–1178 [DOI] [PubMed] [Google Scholar]
- 54.Yoo J-S et al. (2021) SARS-CoV-2 inhibits induction of the MHC class I pathway by targeting the STAT1–IRF1–NLRC5 axis. Nat. Commun 12, 6602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Arshad N et al. (2023) SARS-CoV-2 accessory proteins ORF7a and ORF3a use distinct mechanisms to down-regulate MHC-I surface expression. Proc. Natl. Acad. Sci. U. S. A 120, e2208525120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Zhang F et al. (2022) Inhibition of major histocompatibility complex-I antigen presentation by sarbecovirus ORF7a proteins. Proc. Natl. Acad. Sci. U. S. A 119, e2209042119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Powers CJ and Früh K (2008) Signal peptide-dependent inhibition of MHC class I heavy chain translation by rhesus cytomegalovirus. PLoS Pathog. 4, e1000150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Zhang M and Coffino P (2004) Repeat sequence of Epstein– Barr virus-encoded nuclear antigen 1 protein interrupts proteasome substrate processing. J. Biol. Chem 279, 8635–8641 [DOI] [PubMed] [Google Scholar]
- 59.Zaldumbide A et al. (2007) In cis inhibition of antigen processing by the latency-associated nuclear antigen I of Kaposi sarcoma herpes virus. Mol. Immunol 44, 1352–1360 [DOI] [PubMed] [Google Scholar]
- 60.Hill A et al. (1995) Herpes simplex virus turns off the TAP to evade host immunity. Nature 375, 411–415 [DOI] [PubMed] [Google Scholar]
- 61.Ahn K et al. (1997) The ER-luminal domain of the HCMV glycoprotein US6 inhibits peptide translocation by TAP. Immunity 6, 613–621 [DOI] [PubMed] [Google Scholar]
- 62.Hengel H et al. (1997) A viral ER-resident glycoprotein inactivates the MHC-encoded peptide transporter. Immunity 6, 623–632 [DOI] [PubMed] [Google Scholar]
- 63.Park B et al. (2004) Human cytomegalovirus inhibits tapasin-dependent peptide loading and optimization of the MHC class I peptide cargo for immune evasion. Immunity 20, 71–85 [DOI] [PubMed] [Google Scholar]
- 64.Jones TR et al. (1996) Human cytomegalovirus US3 impairs transport and maturation of major histocompatibility complex class I heavy chains. Proc. Natl. Acad. Sci. U. S. A 93, 11327–11333 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Ziegler H et al. (2000) The luminal part of the murine cytomega-lovirus glycoprotein gp40 catalyzes the retention of MHC class I molecules. EMBO J. 19, 870–881 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Reusch U et al. (1999) A cytomegalovirus glycoprotein re-routes MHC class I complexes to lysosomes for degradation. EMBO J. 18, 1081–1091 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Bennett EM et al. (1999) Cutting edge: adenovirus E19 has two mechanisms for affecting class I MHC expression. J. Immunol 162, 5049–5052 [PubMed] [Google Scholar]
- 68.Burgert H-G and Kvist S (1985) An adenovirus type 2 glycoprotein blocks cell surface expression of human histocompatibility class I antigens. Cell 41, 987–997 [DOI] [PubMed] [Google Scholar]
- 69.Abendroth A et al. (2001) Varicella-zoster virus retains major histocompatibility complex class I proteins in the Golgi compartment of infected cells. J. Virol 75, 4878–4888 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Ashrafi GH et al. (2005) E5 protein of human papillomavirus type 16 selectively downregulates surface HLA class I. Int. J. Cancer 113, 276–283 [DOI] [PubMed] [Google Scholar]
- 71.Boname JM et al. (2004) Viral degradation of the MHC class I peptide loading complex. Immunity 20, 305–317 [DOI] [PubMed] [Google Scholar]
- 72.Manji GA (2023) MEKiAUTO: Multicenter Phase 1 study of combination therapy with the MEK inhibitor cobimetinib, immune checkpoint blockade, atezolizumab, and the autophagy inhibitor hydroxychloroquine (HCQ) in KRAS-mutated advanced malignancies. In Proceedings of 2023 ASCO Breakthrough – Poster Session, Abstract 45, C2 [Google Scholar]
- 73.Aller EC et al. (2022) 589 xevinapant plus nivolumab in patients with advanced solid tumors who progressed on prior anti-PD-1/PD-L1 treatment: results of a dose-optimization, exploratory Phase 1b/2 trial. JITC 10, A615 [Google Scholar]
- 74.Lee JJ et al. (2017) Phase 2 study of pembrolizumab in combination with azacitidine in subjects with metastatic colorectal cancer. J. Clin. Oncol 35, Abstract 3054 [Google Scholar]
- 75.Azad NS et al. (2018) ENCORE 601: a phase 2 study of entinostat in combination with pembrolizumab in patients with microsatellite stable metastatic colorectal cancer. J. Clin. Oncol 36, Abstract 3557 [Google Scholar]
