Biological mechanism and immune response of MHC-II expression in tumor cells

Biological mechanism and immune response of MHC-II expression in tumor cells

PDF

Mengya Zhou¹^,^*, Siwei Pan¹^,²^,³^,^*, Yanqiang Zhang¹^,²^,³, Can Hu¹^,²^,³, Zhiyuan Xu¹^,²^,³

Cancer Biology & Medicine | 2025, 22(11) : 1304 - 1326

Less

Cancer Biology & Medicine | 2025, 22(11): 1304-1326

• REVIEW •

Biological mechanism and immune response of MHC-II expression in tumor cells

Full

Mengya Zhou¹^,^*, Siwei Pan¹^,²^,³^,^*, Yanqiang Zhang¹^,²^,³, Can Hu¹^,²^,³, Zhiyuan Xu¹^,²^,³

Affiliations

¹Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China

²Key Laboratory of Prevention, Diagnosis and Therapy of Upper Gastrointestinal Cancer of Zhejiang Province, Hangzhou, Zhejiang 310022, China

³Zhejiang Provincial Research Center for Upper Gastrointestinal Tract Cancer, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China

Published: 2025-11-15 doi: 10.20892/j.issn.2095-3941.2025.0248

Outline

Abstract

Less

Malignant tumors are a major threat to human health with the immune responses critically influenced by major histocompatibility complex (MHC) class I and II molecules. While MHC-I has been extensively studied for its role in tumor immunity, research on MHC-II, particularly MHC-II function within the tumor microenvironment, has lagged behind research on MHC-I. The expression and regulation of tumor-specific MHC-II (tsMHC-II) in tumor cells not only reflect the immunogenic landscape of the tumor microenvironment but also actively shape antitumor immune responses by modulating CD4⁺ T cell recognition and activation. Expression of tsMHC-II is tightly controlled by intrinsic oncogenic signaling and extrinsic cytokine stimulation, positioning tsMHC-II as a key determinant of response to immunotherapy, including immune checkpoint blockade. Accordingly, tsMHC-II may serve as a predictive biomarker and a potential therapeutic target in tumor immunotherapy. This review highlights recent advances in the structure and function of MHC-II, the MHC-II regulatory mechanisms in tumors, and the emerging significance of MHC-II in guiding future immunotherapeutic strategies.

Key words

MHC-II / tumor immunity / immunotherapy / tumor microenvironment

Cite this Article

Mengya Zhou, Siwei Pan, Yanqiang Zhang, Can Hu, Zhiyuan Xu. Biological mechanism and immune response of MHC-II expression in tumor cells[J]. Cancer Biology & Medicine, 2025 , 22 (11) : 1304 -1326 . DOI: 10.20892/j.issn.2095-3941.2025.0248

Full Text

Less

Introduction

Less

Tumors are significant global health challenges with diverse therapeutic strategies, including surgery, chemotherapy, and immunotherapy, offering varying degrees of efficacy¹. While surgical resection remains the most frequently used method, immunotherapy has revolutionized primary tumor and metastasis treatment by harnessing the immune system to combat tumors². Despite these advances, many patients experience intrinsic or acquired resistance to immunotherapy, along with immune-related adverse events (irAEs) that limit broader application of immunotherapy^3,4. For example, among melanoma patients treated with ipilimumab at 10 mg/kg, the incidence of severe irAEs reached 37% in the individuals with active metastases and 46% in those receiving post-surgery adjuvant therapy^5,6. A study focusing on non-small cell lung cancer (NSCLC) indicated that irAEs associated with programmed death receptor 1 (PD-1) or programmed death ligand 1 (PD-L1) inhibitors correlated with improved radiologic responses, progression-free survival (PFS), and overall survival (OS), which were typically observed approximately 3 months after treatment initiation. As novel immunotherapies and combination regimens continue to emerge, a deeper understanding of the anti-tumor immune response, particularly the mechanisms underlying tumor recognition and immune escape by T cells, are critical for improving outcomes and expanding the applicability of these therapies.

A key mechanism underlying immune escape by tumors is the alteration of antigen-presenting pathways, which reduce tumor visibility to adaptive immune cells⁷. Central to this process are MHC molecules, which present non-self-peptides (neoantigens) to immune cells. MHC-I and MHC-II molecules are essential elements of the antigen presentation machinery. MHC-I, which present endogenously derived peptides to CD8⁺ T cells, expressed on virtually all nucleated cells and essential for cytotoxic immune responses. In contrast, MHC-II, which are predominantly expressed by professional antigen-presenting cells (pAPCs), like dendritic cells (DCs), macrophages, and B cells, present exogenous peptides to CD4⁺ T cells to drive adaptive immunity (Table 1)^8–17.

MHC molecule expression is regulated through complex genomic, transcriptomic, and post-translational mechanisms in tumor cells. These processes involve multiple intracellular pathways responsible for antigen processing and presentation. Cytotoxic CD8⁺ T cells are the primary effectors of immune checkpoint inhibitor (ICI) therapies. In addition, CD4⁺ T cells are critical for supporting CD8⁺ T cell activation, promoting memory T cell formation. Emerging evidence underscores the integral function of CD4⁺ T cells in mediating effective responses to ICIs^{5,6,8–13,18}.

Notably, tumor-specific MHC-II (tsMHC-II) expression, although less frequent, has emerged as a pivotal factor in enhancing anti-tumor immunity. Recent studies have demonstrated a strong correlation between tsMHC-II expression and favorable immunotherapy outcomes, including improved tumor rejection in preclinical models⁸. MHC-II-restricted CD4⁺ T cells are critical for supporting CD8⁺ T cell activation, positioning MHC-II-restricted CD4⁺ T cells at the forefront of tumor immunotherapy research. This review explores the regulatory mechanisms and latest developments underlying tsMHC-II expression in tumor cells and highlights the tsMHC-II potential to improve the efficacy of current and future immunotherapeutic strategies.

Structure and function of MHC-II molecules

Less

MHC-II is a heterodimer composed of α and β chains. Unlike MHC-I, which is highly polymorphic but restricted by peptide length, MHC-II can accommodate a broader array of neoantigen proteins. This diversity is due to the structure of the MHC-II binding groove, which accommodates longer peptides (typically approximately 13 amino acids) and tolerates a wide variety of side chains^8,19. These features significantly increase the repertoire of peptides that MHC-II molecules present. Specialized pAPCs, such as DCs, capture, process, and present foreign antigens. These protein antigens are degraded into small peptides and delivered to CD4⁺ T cells via MHC-II. Among pAPCs, DCs are the most potent and have pivotal roles not only in presenting antigens to CD4⁺ T cells but also in cross-presenting neoantigens to CD8⁺ T cells. While cytotoxic CD8⁺ T lymphocytes are the primary effectors of anti-tumor immunity, DC-mediated MHC-II presentation to CD4⁺ T cells is essential for initiating and sustaining a coordinated and effective immune response (Figure 1).

tsMHC-II expression is not limited to pAPCs in tumor immunity. In fact, tsMHC-II expression has also been detected in some tumor cells. This expression enables tumor cells to directly interact with CD4⁺ T cells, potentially modulating the immune response. CD4⁺ T cells recognize and bind to antigenic peptides presented by MHC-II molecules via T cell receptors (TCRs), leading to activation and subsequent differentiation. Activated CD4⁺ T cells can differentiate into helper T (Th) cells, which secrete cytokines that regulate immune responses, promote B cell-meditated antibody production, enhance CD8⁺ T cell activation and cytotoxic function. Once activated, CD8⁺ T cells recognize tumor-specific antigens (TSAs) and eliminate tumor cells through cytotoxic mechanisms.

Although tumor cells do not typically express MHC-II constitutively, the presence of interferon-γ (IFN-γ) within the tumor microenvironment (TME) can induce tsMHC-II expression. tsMHC-II expression is associated with increased infiltration and activation of CD4⁺ T cells in several tumor models. These activated CD4⁺ T cells further produce IFN-γ, which in turn amplifies tsMHC-II expression, forming a positive feedback loop (Figure 2)²⁰. It has been reported that tsMHC-II expression is positively correlated with elevated numbers of CD4⁺ and CD8⁺ tumor-infiltrating lymphocytes (TILs), improved survival outcomes, and enhanced responses to ICIs^20–22. The regulation of MHC-II expression is mediated by the class II transactivator (CIITA), a key transcriptional regulator essential for initiating MHC-II gene transcription and its related pathways²³. CIITA-driven tsMHC-II expression can modulate tumor cell sensitivity to PD-1 blockade, thereby enhancing the efficacy of immunotherapy and improving patient prognosis. Thus, tsMHC-II has a critical role in anti-tumor immunity by activating CD4⁺ T cells and bridging innate and adaptive immune responses, underscoring the importance of tsMHC-II in orchestrating immune regulation and promoting therapeutic responses.

Expression and regulation of MHC-II in tumor cells

Less

Mechanisms regulating tsMHC-II expression in the TME

Regulation of tsMHC-II expression within the TME is a complex process governed by multiple signaling pathways and molecular mechanisms. These regulatory factors collectively influence tumor cell susceptibility to immune surveillance and have pivotal role in determining the efficacy of immunotherapy. This review highlights three principal mechanisms that modulate tsMHC-II expression in the TME.

Transcriptional regulation via CIITA

The master regulator of MHC-II gene expression is CIITA. Although CIITA does not directly bind DNA, it functions as a non-DNA-binding coactivator by recruiting transcription factors to MHC-II promoters to facilitate transcription. CIITA expression is governed by four distinct promoters (pI, pII, pIII, and pIV)²⁴. While pI and pIII predominantly drive CIITA expression in APCs, pIV is the primary promoter induced by IFN-γ stimulation²⁵.

Ectopic expression of CIITA in tumor cells leads to upregulation of MHC-II and enhances the capacity to activate tumor-specific CD4⁺ T cells, eliciting robust and durable anti-tumor immune responses. For example, CIITA-transduced tumor cells have been shown to secrete exosomes enriched with tsMHC-II and TSAs, thereby functioning as “mini-APCs”²⁶. Additionally, permanent genomic insertion of CIITA into tumor cells has demonstrated potent immune-mediated tumor rejection in vivo²⁷.

Another study reported that interleukin-1β signaling promotes CIITA expression in melanoma cells, enhancing MHC-II-mediated antigen presentation²⁸. Some tumor cells exhibit insufficient responsiveness to IFN-γ and rely on alternative regulatory pathways to regulate tsMHC-II expression. One pathway involves the transcription factor, FoxO1, which can directly bind to the CIITA promoter to enhance its expression. Conversely, epigenetic modifications can suppress CIITA activity²⁹. For example, Mycobacterium tuberculosis infection downregulates CIITA and tsMHC-II expression through Rv1198-mediated histone H3 lysine 9 trimethylation, a process driven by the bacterial antigen, ESAT-6-like protein³⁰. These findings highlight how infection or tumor-associated pathways can modulate immune surveillance by altering CIITA expression and antigen presentation.

Epigenetic modulation

Epigenetic alternations in DNA packaging can result in the silencing or activation of tumor-associated genes, thereby significantly influencing tumor progression. Among the major epigenetic regulatory mechanisms, DNA methylation and histone modifications play significant role in MHC-II gene expression.

DNA hypermethylation has been observed at the promoter region of the CIITA gene, directly suppressing MHC-II expression^31,32. As a key mechanism of transcriptional regulation at the chromatin level in eukaryotic cells, DNA hypermethylation is both heritable and reversible, offering a potential opportunity for therapeutic intervention. CpG islands, which are commonly located in gene promoter regions, are frequent targets of aberrant methylation and CpG island dysregulation is often associated with tumor progression.

For example, hypermethylation of the human leukocyte antigen-D related (HLA-DR) and human leukocyte antigen-Q related (HLA-DQ) genes are frequently observed in multiple tumors and correlate with immune escape and poor clinical outcomes in gastric cancer, renal cell carcinoma, and esophageal squamous cell carcinoma^31,33–36. Inhibition of hypermethylation through gene inactivation or pharmacologic intervention has been demonstrated in colorectal and breast cancer cell lines, underscoring the potential for therapeutic strategies targeting epigenetic alterations^34,37. However, inter-tumoral variability in methylation patterns highlights the complexity of this epigenetic modification in tumor. DNA methyltransferases (DNMTs), specifically DNMT1, DNMT2, DNMT3a, DNMT3b, and DNMT3L, are commonly mutated or overexpressed in tumors, further contributing to aberrant methylation³⁸. Specifically, mutations in DNMT genes are common in human cancers. For example, mutations in the genes responsible for the isocitrate dehydrogenase (IDH1 and IDH2) have been identified in acute myeloid leukemia, angioimmunoblastic T-cell lymphomas, and gliomas. These mutations lead to the production of the oncometabolite 2-hydroxyglutarate, leading to widespread DNA hypermethylation in these tumors^39–41.

Histone modifications also have a pivotal role in regulating MHC-II expression. Specifically, acetylation of histones H3 and H4 enhances transcriptional activation, while deacetylation suppresses gene expression. For example, trimethylation of H3K4 (H3K4me3) is usually associated with gene activation, whereas H3K9me2 is typically linked to gene silencing⁴². Acetylation of histones H3 and H4 at the HLA-DRA promoter is induced by IFN-γ in B-cell lymphoma cells expressing tsMHC-II⁴³. Inactivating mutations in the histone acetyltransferase CBP (CREB-binding protein) result in decreased tsMHC-II expression^44,45. Histone deacetylase (HDAC) inhibitors can restore MHC-II expression via CIITA upregulation in solid tumors and hematologic malignancies^43,46–48. HDAC inhibition has been shown to enhance tsMHC-II expression in NSCLC cell lines, suggesting a potential strategy to improve the immunotherapeutic response^20,36. HDAC inhibitors may promote antigen presentation via the tsMHC-II pathway by increasing histone H3 acetylation and reducing inflammation within TME^49–51. Enhancer of Zeste homolog 2(EZH2)-driven histone methylation downregulates tsMHC-II expression in diffuse large B-cell lymphoma (DLBCL) and tumors carrying the EZH2Y641 mutation exhibit low expression of tsMHC-I and tsMHC-II⁵². Thus, this finding supports the combination of EZH2 inhibitors with ICIs, such as PD-1 blockade, to restore MHC expression and identify EZH2 mutations as potential predictive biomarker for response evaluation⁵³.

Cytokines and signaling pathways

Regulation of MHC-II expression involves intricate mechanisms with CIITA expression driven by IFN-γ serving as a pivotal step. IFN-γ activates Janus kinase 1/2 (JAK1/2) upon engaging with the IFN-γ receptor, which in turn triggers the phosphorylate signal transducer and activator of transcription 1 (STAT1). Phosphorylated STAT1 translocates to the nucleus, where phosphorylated STAT1 cooperates with transcription factors, such as IRF1, to activate CIITA pIV, thereby promoting MHC-II gene transcription⁸.

As the master regulator of MHC-II expression, upregulated CIITA enhances the transcription of MHC-II-related genes, facilitating robust MHC-II surface expression³². Diminished responsiveness to IFN-γ is primarily attributed to defects within the IFN-γ signaling pathway in some tumor cells. Tumor cells may impair this pathway through mutations in JAK1/2 or repression of downstream effectors, ultimately diminishing IFN-γ-mediated MHC-II induction⁵⁴. For example, CRISPR-Cas9-mediated knockout of the JAK1 gene renders tumor cells unresponsive to IFN-γ, leading to a complete loss of MHC expression⁵⁵.

In addition to IFN-γ, several other cytokines, including IFN-α, IFN-β, granulocyte-macrophage colony-stimulating factor (GM-CSF), IL-4, and tumor necrosis factor-α (TNF-α), can enhance MHC-II expression, particularly in DCs^56,57. IFN-α and IFN-β are mainly produced by virus-infected cells and activate similar JAK-STAT signaling cascades through their respective receptors, highlighting the multifactorial nature of MHC-II regulation⁵⁸. IL-4, which is secreted by Th2 cells, induces MHC-II expression upregulation in DCs and support Th2-type immune responses, playing a critical role in immunity against parasitic infections⁵⁶. TNF-α, which is secreted mainly by macrophages, is a proinflammatory cytokine that promotes MHC-II expression in DCs. TNF-α promotes inflammatory responses and immune cell activation and has an important role in immunomodulation and anti-tumor immunity⁵⁷. In contrast, some innate immune signals can negatively regulate MHC-II. Activation of TLR2 signaling in gliomas downregulates MHC-II on tumor-infiltrating microglia and glioma-associated myeloid cells, thereby impairing CD4⁺ T-cell recruitment and facilitating immune escape^59,60. Conversely, activation of the Ras-mitogen-activated protein kinase (RAS/MAPK) signaling pathway suppresses MHC-II expression⁴⁴. For example, RAS/MAPK-driven MHC-II downregulation in breast cancer can be reversed by mitogen-activated protein kinase kinase (MEK) inhibitors⁶¹. Notably, activation of the MAPK pathway in HLA-DR⁺ melanoma cells triggers the CIITA pIII, which is typically active in B cells⁶². These context-dependent regulations may reflect tumor-specific signaling pathways and distinct mechanisms that govern constitutive, inducible, or silenced expression of tsMHC-II.

Functional role and clinical significance of MHC-II

MHC-II expression in tumor cells is independent of MHC-I and contributes significantly to tumor immunogenicity. Rodig et al.⁶³ reported that tsMHC-II expression is associated with increased infiltration of CD4⁺ T cells and improved patient prognosis. Notably, tsMHC-II expression has been identified across a wide range of tumor types, including tumors originating from the dermatologic^21,63,64, digestive⁶⁵, genitourinary^66,67, respiratory²⁰, neurologic⁶⁸, hematologic⁶⁹, and endocrine systems^{20,22,70–74}. Interestingly, these tumor types typically lack MHC-II expression in the corresponding normal tissues, underscoring the unique immunologic phenotype of tumor cells that acquire tsMHC-II expression.

tsMHC-II is typically inducible by IFN-γ but can also be constitutively expressed in some tumor models, such as melanoma cell lines, even in the absence of exogenous stimulation (Figure 3)^21,71,72. Importantly, tsMHC-II has emerged as a clinically relevant biomarker for T cell-inflamed (“hot”) tumors, distinguishing “hot” tumors from non-inflamed (“cold”) tumors⁸. Unlike IFN-γ signatures, which generally require sequencing-based detection, tsMHC-II can be readily detected by immunohistochemistry (IHC), offering a practical and accessible method for tumor stratification in clinical settings⁷⁵.

Overall, elevated expression of tsMHC-II is associated with improved therapeutic outcomes and is emerging as a promising predictive biomarker for immunotherapy responsiveness. Strategies designed to restore or enhance tsMHC-II expression, such as cytokine treatment, epigenetic modulators, or CIITA transduction, offer potential avenues to boost anti-tumor immunity and improve clinical efficacy.

tsMHC-II in immune regulation and prognosis

Less

Cancer cells acquire various mechanisms to evade immune surveillance during tumor evolution, thereby facilitating sustained growth, invasion, and metastasis. A key immune escape strategy involves the disruption of antigen presentation pathways, notably through the downregulation or loss of MHC-I and MHC-II. These alterations impair the recognition of tumor cells by cytotoxic CD8⁺ T cells and CD4⁺ Th cells, respectively, leading to weakened cytotoxic and helper immune responses. Genetic mutations, epigenetic silencing, or transcriptional repression of MHC genes can profoundly affect antitumor immunity and reduce responsiveness to immunotherapy.

Role of tsMHC-II in tumor immune surveillance and escape

Immune escape is a hallmark of tumor progression^76,77. MHC-I presents intracellular neoantigens to cytotoxic CD8⁺ T cells, while MHC-II presents exogenous peptides to CD4⁺ Th cells. Both pathways contribute independently and synergistically to effective tumor immunosurveillance⁶³. Loss of MHC-I expression, which is often due to β2-microglobulin mutations, is a well-established mechanism of resistance to immune checkpoint blockade (ICB), particularly anti-PD-1 therapies (Table 1)^78–80. These insights underscore the necessity to consider antigen presentation pathways when designing comprehensive immunotherapeutic strategies. Notably, increasing evidence indicates that tsMHC-II expression on tumor cells can sustain CD4⁺ T cell-mediated immune pressure even in MHC-I-deficient tumors.

Expression of tsMHC-II is positively correlated with increased infiltration of CD4⁺ and CD8⁺ TILs, activation of Th1-associated cytokine pathways, formation of tertiary lymphoid structures, and upregulation of IFN-γ signaling. These immune features are further associated with favorable histopathologic markers, including reduced lymphvascular invasion. Although tsMHC-II is generally absent in poorly immunogenic tumors and often restricted to immune or stromal cells at the tumor periphery, preclinical studies demonstrate that enforced tsMHC-II expression enhances CD4⁺ T cell recruitment⁸⁰, delays T cell exhaustion, and synergizes with PD-1 or lymphocyte activation gene-3 (LAG-3) blockade to promote tumor regression^81–83.

At the molecular level tsMHC-II expression is primarily regulated by the master transcriptional coactivator CIITA, which is modulated by IFN-γ signaling, the JAK-STAT pathway, and a variety of epigenetic factors. In chronic myeloid leukemia progenitor cells, cytokine-induced JAK signaling suppresses CIITA expression, an effect that can be reversed by IFN-γ stimulation or JAK1/2 inhibition^84,85. Similarly, activation of Toll-like receptor 2 (TLR2) has been shown to downregulate MHC-II expression in gliomas, thereby impairing CD4⁺ T cell-mediated immune surveillance⁸⁶. In addition, autophagy-related proteins (ATG), such as ATG5, regulate MHC-II-dependent antigen presentation by modulating lipid receptors trafficking in DCs⁸⁷.

Beyond established roles in natural immunity and checkpoint responses, tsMHC-I-restricted neoantigens have emerged as promising targets for engineered immunotherapies. MHC-II-restricted T cell receptor-engineered T (TCR-T) and chimeric antigen receptor T (CAR-T) cells have demonstrated preclinical efficacy against tumors expressing MHC-II-peptide complexes, particularly within CD4⁺ T cell-enriched TMEs^88,89. Enhancing MHC-II expression on tumor cells or APCs can augment antigen presentation and CD4⁺ T cell-mediated help, thereby improving the persistence, trafficking, and effector function of adoptively transferred CAR-T or TCR-T cells. These strategies may overcome the immunosuppressive TME to enhance the durability of therapeutic response^90,91.

Nevertheless, tsMHC-II expression may paradoxically contribute to immune escape in some situations. For example, tsMHC-II expression by lymphatic endothelial cells has been shown to recruit regulatory T cells (Tregs) and enhance co-inhibitory signaling, thereby suppressing antitumor immune responses^92–94. These findings highlight the context-dependent dual role of tsMHC-II, which can either promote or inhibit immune activity depending on the surrounding microenvironmental and molecular signals.

Future research should aim to elucidate the factors that determine the functional outcomes of tsMHC-II expression, such as the presence of co-stimulatory or co-inhibitory ligands, antigen specificity, and spatial compartmentalization, and to develop targeted strategies that enhance immunogenic effects while minimizing immunosuppressive activity⁹⁵. Such approaches hold promise for advancing tsMHC-II-based immunotherapeutic interventions in tumor treatment.

Correlation between tsMHC-II molecular expression and prognosis of tumor patients

The prognostic significance of tsMHC-II expression has been increasingly recognized in various tumor types. High tsMHC-II expression on tumor cells has been confirmed to correlate with prolonged survival, enhanced T-cell infiltration, and improved therapeutic responses. This association has been documented in gastrointestinal^96–99, head and neck^100,101, respiratory¹⁰², genitourinary^66,103,104, and hematologic tumors^105,106.

tsMHC-II expression significantly reduces tumor burden in preclinical mouse models via CD4⁺ T cell-mediated mechanisms^12,107. Clinical evidence from patients with classical Hodgkin lymphoma (CHL), melanoma, and gastric adenocarcinoma (GAC) has also shown that tsMHC-II-high tumors exhibit enhanced responsiveness to ICB, particularly anti-PD-1 or anti-PD-L1 therapies^21,63. These findings collectively suggest that upregulating tsMHC-II in human tumors may potentiate antitumor immunity and improve ICB efficacy.

tsMHC-II has emerged as a robust biomarker for predicting responses to immunotherapy. Multiple studies have reported strong correlation between tsMHC-II expression and favorable clinical endpoints, such as PFS, OS, and enhanced infiltration of CD4⁺ and CD8⁺ T cells. Specifically, tsMHC-II expression serves as a reliable predictor of responses to neoadjuvant anti-PD-1/PD-L1 therapy combined with chemotherapy in HER2-negative breast cancer. While tsMHC-II-positive tumors often exhibit heightened sensitivity to monotherapy, recent work in bladder cancer and melanoma has revealed a synergistic mechanism; tumors with high tsMHC-II expression level also show more robust responses to PD-L1 inhibitors, likely due to improved CD4⁺ T helper activation within the TME^108,109. Conversely, tsMHC-II-negative tumors may respond better to PD-1/PD-L1 and cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) combination therapy, aligning with meta-analysis data showing improved outcomes in PD-L1-negative patients receiving dual checkpoint blockade.

Approximately 60% of patients who benefit from combination immunotherapy present with low baseline MHC-I/II expression and poor prognostic features in melanoma and CHL, such as elevated lactate dehydrogenase (LDH) levels^8,110,111. Moreover, recent findings reveal that dynamic tumor-specific MHC-II expression, both baseline and inducible, serves as a predictive biomarker of checkpoint inhibitor response in melanoma¹¹².

Transcriptomic analyses further support the clinical utility of tsMHC-II. Notably, multigene analysis incorporating 13 key MHC-II pathway genes (e.g., CIITA, CD74, and HLA-DPA1) in triple-negative breast cancer (TNBC) reveals strong association with prolonged PFS and outperforms single-gene markers in predictive accuracy¹¹³. Furthermore, Wang et al. identified nucleophosmin (NPM1) as a negative regulator of antigen presentation. NPM1 suppresses the expression of both tsMHC-I and tsMHC-II by repressing interferon regulatory factor 1 (IRF1), thereby promoting immune escape. Inhibition or genetic ablation of NPM1 restores MHC expression and enhances tumor-specific T-cell cytotoxicity, positioning NPM1 as a potential therapeutic target to enhance immunotherapy efficacy¹¹⁴.

Taken together, tsMHC-II serves as a biomarker and a functional effector in tumor immunity. tsMHC-II integration into immunotherapy strategies, whether through ICB, adoptive T cell therapies, or antigen-targeted vaccines, offers a promising avenue to enhance treatment specificity, durability, and overall patient outcomes.

Application of tsMHC-II in tumor immunotherapy

Less

Vaccine strategies based on MHC-II

Despite notable advances in conventional tumor therapies, which have shown encouraging outcomes in combating this life-threatening disease, ongoing research continues to focus on developing more effective and innovative treatment strategies. Among these strategies, tumor vaccines have recently emerged as promising tools^115,116. Progress in immunology, molecular biology, and genetic engineering has enabled the development of specialized and personalized tumor vaccination approaches. Early therapeutic vaccines primarily targeted tumor-associated antigens (TAAs), which are autologous proteins aberrantly expressed or overexpressed in tumors. However, these strategies have generally failed to elicit clinically significant anti-tumor immune responses. This limited efficacy is largely attributed to central and peripheral tolerance mechanisms that restrict T cell responses to TAA-specific targets¹¹⁷. Moreover, TAAs are often expressed in normal tissues, thereby increasing the risk of autoimmune toxicity following vaccination¹¹⁷. These findings underscore the key challenges in tumor vaccine development, including insufficient tumor specificity and low immunogenicity of TAAs.

Neoantigen-based vaccines have emerged as a transformative approach in tumor immunotherapy, offering personalized strategies that target TSAs. Among these neoantigen-based vaccines, peptide-based vaccines use short peptides containing immunogenic epitopes derived from tumor antigens, which are critical for eliciting a robust immune response^102,118. To maximize efficacy, these vaccines generally contain both CD8⁺ and CD4⁺ T cell epitopes. CD8⁺ T-cell epitopes enhance tumor immunogenicity and activate CTLs via antigen-presentation pathways, while CD4⁺ T-cells stimulate Th cells to support and sustain CTL function. However, the clinical effectiveness of peptide-based vaccines remains limited by various factors, such as short half-life of peptide epitopes and MHC polymorphisms, which pose significant challenges for broad clinical application^118,119.

An alternative approach is the use of DC vaccines, which aim to overcome the limitations imposed by tumor-induced immune escape. DCs play a central role in initiating immune responses because DCs capture antigens during inflammation and present the antigens to T cells. Unlike infectious diseases, tumors frequently fail to provoke a strong inflammatory response, leading to suboptimal DC activation and inadequate immune priming. DC vaccines address this issue by directly delivering tumor antigens to DCs, promoting their maturation into potent APCs and facilitating activation of antigen-specific T lymphocytes through interaction with TCRs, ultimately leading to tumor cell destruction and inhibition of tumor growth^119–122. In vitro modulation of DCs enables precise control over DC activation and function, offering greater efficacy than conventional vaccination approaches.

In addition, nucleic acid vaccines, which utilize DNA or RNA to encode tumor antigens, have distinct advantages over traditional peptide-based vaccines. While peptide vaccines typically present only a single epitope, mRNA vaccines are capable of encoding entire antigens that contain multiple epitopes, thereby eliciting a broader and more potent T cell response¹²³. However, significant challenges remain for prophylactic tumor vaccines, especially vaccines targeting non-viral tumors. These challenges include the identification of suitable antigens, strategies to mitigate autoimmune reactions, methods to enhance vaccine accumulation and retention in lymphoid tissues, and approaches to promote the generation of durable memory immune responses^124,125. Furthermore, the combination of tumor antigens with appropriate adjuvants may further enhance antitumor immune responses^119–121. Table 2 summarizes representative therapeutic approaches and clinical trials that leverage MHC-II in tumor immunotherapy to better illustrate the translational progress of tsMHC-II-targeted approaches.

ICIs utilizing MHC-II molecules

In addition to tsMHC-II-based vaccines aimed at combating tumors, ICIs provide another strategy by modulating the host immune system. ICIs enhance the immune response to tumors by blocking inhibitory receptors or their ligands on immune cells, thereby preventing the immunosuppressive signaling that dampens T cell activation and proliferation. Factors influencing the efficacy of ICIs can be broadly categorized into two main areas: (1) tumor genomic features associated with activated T cells, such as de novo antigens that stimulate T cells, somatic mutations that produce these antigens, MHC molecules that determine antigen presentation, and TCRs that recognize the neoantigens; and (2) TME, including PD-L1 expression on tumor cells, the extent of T cell infiltration, and presence and function of other immune cells.

MHC-I and MHC-II expression may serve as valuable biomarkers for guiding ICI therapy, particularly when used in conjunction with other well-established biomarkers. Although PD-L1 expression and tumor mutational burden (TMB) are currently more widely accepted biomarkers for predicting efficacy, the predictive power remains limited, especially in the context of combination therapies. Therefore, the identification of novel and complementary biomarkers is critical to refining patient stratification and improving therapeutic outcomes¹²⁸ (Figure 4).

MHC molecules have crucial role in recognizing antigens and are essential for antigen presentation and immune signaling. MHC-II, in particular, is responsible for presenting exogenous antigens to CD4⁺ T cells, activating Th cells, initiating humoral immune responses, and enhancing CD8⁺ T cell activity. CD4⁺ T cell activation requires three distinct signals: (1) recognition of antigenic peptides presented by MHC-II molecules through interaction with the TCR; (2) a co-stimulatory signal provided by the interaction between CD28 on T cells and CD80 or CD86 on APCs; and (3) cytokine signaling, which directs the differentiation of CD4⁺ T cells into distinct functional subsets. MHC-II can further contribute to the activation and support of CD8⁺ T cells-mediated cytotoxic responses through these mechanisms¹²⁹.

Activated CD8⁺ T cells that recognize oncogene-derived epitopes exert direct cytotoxic effects on tumor cells. Recent studies have highlighted that high-level expression of genes involved in the tsMHC-II antigen presentation signaling pathway is potential biomarkers for survival benefit in patients undergoing sindilizumab combination chemotherapy¹³⁰. Specifically, elevated expression of these genes was strongly associated with prolonged PFS (HR = 0.32) and OS (HR = 0.36)in the combination treatment group. Notably, even in patients with low or undetectable PD-L1 expression, those with high levels of tsMHC-II pathway-associated genes still benefited from the combination therapy. This finding suggests that combining tsMHC-II expression with PD-L1 expression could broaden the patient population benefiting from this treatment. In contrast, high-level expression of genes related to the MHC-I antigen presentation signaling pathway does not have significant association with the effectiveness of this combination regimen.

An analysis revealed that tsMHC-II expression serves as a more reliable predictor of response to ICIs than PD-L1 expression in early-stage HER2-negative breast cancer¹³¹. In addition, MHC I expression was identified as a robust predictive biomarker for CTLA-4 inhibitors but not for PD-1 inhibitors, whereas MHC-II expression was proved to be predictive for PD-1/PD-L1 inhibitors but not for CTLA-4 inhibitors¹³². These findings underscore the potential of MHC expression analysis in biomarker research. A composite biomarker approach that integrates MHC expression with well-established markers, such as PD-L1 expression and TMB, could enhance predictive accuracy without replacing existing markers¹³⁰.

However, it is important to note that combination ICI therapy is associated with increased risk of adverse events, including greater toxicity, higher incidence of immune-related adverse reactions compared to monotherapy, and substantially higher financial burden. Therefore, the identification and application of reliable biomarkers are essential for guiding early and personalized treatment decisions by identifying whether a patient is more likely to benefit from monotherapy or combination immunotherapy.

Potential of MHC-II in personalized immunotherapy

Current research emphasizes the potential of MHC-II in personalized immunotherapy. The tsMHC-II genotype is an independent predictor of response to anti-PD-1 immunotherapy in melanoma patients. One study demonstrated a significant negative correlation between the tsMHC-II genotype binding score and treatment outcomes, particularly among patients previously treated with anti-CTLA-4 antibodies, based on data from 144 melanoma patients receiving anti-PD-1 therapy^3,133.

Importantly, new evidence suggests that tumor cells may express tsMHC-II and higher levels of tsMHC-II expression are linked to more favorable responses to anti-PD-1 therapy. The tsMHC-II genotype and level of expression have been shown to independently predict clinical outcomes in patients with prior anti-CTLA-4 treatment¹³⁴. Mechanistically, the MHC-II genotype affects the peptide-binding capacity of HLA molecules, high MHC-II expression is generally associated with enhanced immune responses and improved therapeutic efficacy.

Interestingly, greater MHC-II binding capacity is paradoxically associated with poorer treatment outcomes, suggesting a more complex role for tsMHC-II in modulating anti-PD-1 efficacy. Furthermore, TMB and MHC-II binding properties have been shown to negatively correlate with IFN-γ activity, potentially explaining the limited treatment response observed in some patients.

In addition to melanoma, the predictive value of tsMHC-II has been explored in other malignancies, including breast, ovarian, and pancreatic cancers^{131,135–137}. In patients with HER2-negative breast cancer, the expression level of tsMHC-II (HLA-DR) on tumor cells has been shown to predict patient response to anti-PD-1/PD-L1-based neoadjuvant chemotherapy^127,131. Targeted elimination of effector regulatory T cells significantly enhances anti-tumor immunity in high-grade serous ovarian cancer with homologous recombination deficiency, suggesting that the dynamic expression of tsMHC-II is closely related to the immunosuppressive microenvironment¹³⁷.

These findings collectively underscore the potential of tsMHC-II as a biomarker for personalized immunotherapy and indicate that MHC genotypes could serve as tumor-agnostic predictors for response to anti-PD-1 therapy in melanoma^3,126,133. The independent association of MHC-II genotype and expression suggests that the tsMHC-II complex has a significant role in modulating responses to anti-PD-1 immunotherapy. These insights may have significant clinical implications, particularly for patients undergoing combination treatment with anti-CTLA-4 and anti-PD-1 therapies.

The development of personalized tumor vaccines based on neoantigens has become a prominent focus in tumor immunotherapy research. These vaccines are tailored to individual patients, leveraging tumor-specific somatic mutations to stimulate targeted immune responses¹³⁸. A key advantage of neoantigen vaccines is the ability to elicit highly specific T cell responses, thereby minimizing off-target effects and reducing the risk of damage to healthy tissues. Moreover, because neoantigens are novel epitopes derived from tumor-specific mutations, neoantigens can bypass central and peripheral tolerance mechanisms that typically limit T cell responses to self-antigens. This effect enables a more robust and tumor-specific immune response. Recent advances in neoantigen identification, vaccine design, and delivery technologies have laid the groundwork for next-generation tumor vaccines with the potential to transform therapeutic strategies in oncology.

Research progress of MHC-II molecules and the roles across tumor types

Less

Predict neoantigens that bind to MHC-II molecules

Neoantigens arise primarily from somatic mutations in tumor cells that alter the protein-coding sequence, resulting in the generation of novel antigenic peptides absent from normal tissues. In virally driven tumors, such as HPV-positive cervical cancer and EBV-associated nasopharyngeal carcinoma, neoantigens may also originate from non-self open reading frames encoded by viral genomes¹³⁹. These unique antigens represent ideal targets for tumor-specific immunotherapies, particularly in the development of personalized tumor vaccine.

tsMHC-II molecules facilitate the presentation of these neoantigens to CD4⁺ T cells, thereby augmenting Th cell responses, enhancing cytotoxic CD8⁺ T cell activity, and promoting a pro-inflammatory TME¹⁴⁰. High-level tsMHC-II expression is associated with increased infiltration of immune effector cells and favorable clinical outcomes across multiple tumor types. Synthetic long peptide (SLP) vaccines, which incorporate both MHC-I and MHC-II epitopes, have been designed to leverage this mechanism by promoting efficient antigen presentation to both CD4⁺ and CD8⁺ T cells. Compared to short peptide vaccines, SLPs elicit more robust and durable immune responses due to prolonged antigen presentation in draining lymph nodes and enhanced Th cell activation¹⁴¹.

The neoantigen-based vaccines have shown promising results in clinical trials, particularly in melanoma, where they stimulate T cell expansion, broaden the neoantigen-specific TCR repertoire, remodel the immune microenvironment, and improve tumor control^136,138.

However, the accurate prediction of MHC-II-binded-peptides remains a major technical challenge. Unlike MHC-I, MHC-II molecules bind peptides of variable lengths and display extensive polymorphism, making computational modeling of peptide binding highly complex^142–144. Tools, such as NetMHCIIpan, use neural network-based algorithms trained on large peptide-MHC binding datasets to estimate binding affinities. However, these models often fail to account for critical contextual features, including peptide structural conformation, flanking residues, and intracellular antigen processing dynamics. Recent approaches that incorporate TIL-derived TCR data have improved prediction accuracy by considering antigen structural avidity, particularly in hepatocellular carcinoma and melanoma¹⁴³.

Despite recent advances, several limitations hinder the clinical translation of neoantigen prediction. One of the most pressing challenges is the lack of standardized and reliable methods for detecting tsMHC-II expression in patient tumor samples¹⁴⁵. Conventional IHC techniques often fail to distinguish tsMHC-II expression on tumor cells from that on stromal cells or APCs. Furthermore, the limited availability of validated antibodies and the absence of uniform scoring criteria compromise the reproducibility and comparability of results across studies and clinical centers.

Moreover, the spatial and temporal heterogeneity of MHC-II expression within the TME further complicates the interpretation. Regions with strong tsMHC-II positivity may coexist alongside areas exhibiting complete loss of expression. This heterogeneity influences patterns of immune cell infiltration, neoantigen presentation, and responsiveness to immunotherapies. Notably, most of the vaccine design models do not adequately account for this variability, potentially limiting the predictive and therapeutic efficacy.

Therefore, future research should focus on enhancing both computational prediction algorithms and experimental validation pipelines, which include the integration of spatial transcriptomics, single-cell proteomics, and multi-region tumor sampling to more accurately characterize intra-tumoral heterogeneity. Additionally, the development of clinical-grade assays for precise assessment of tsMHC-II expression is essential for effective patient stratification and the design of MHC-II-targeted immunotherapeutic strategies.

Research status of MHC-II molecules in different tumor types

Given the immunologic complexity and clinical heterogeneity across tumor types, the expression and function of MHC-II molecules vary substantially among different tumors. Understanding these tumor-specific differences is critical for refining immunotherapeutic strategies and identifying tumor-specific biomarkers. To further delineate the clinical significance of tsMHC-II, Table 3 and the following subsections summarize the prognostic associations across major tumor types, underscoring the potential utility of it as a predictive marker and tool for patient stratification in immunotherapy.

Cutaneous tumor

Melanoma is the most extensively studied tumor type in the context of tsMHC-II research. Melanoma is highly aggressive and fatal skin cancer and remains a significant challenge due to limited effective treatment options^21,110,147. Recent studies have shown that a subset of patients with advanced melanoma benefit from therapies targeting the T-cell inhibitory receptor, PD-1. However, resistance to PD-1 monotherapy is frequently associated with the downregulation of MHC-I transcription in melanoma cells. This downregulation correlates with decreased expression of tsMHC-II and PD-L1, along with reduced infiltration of T cells into TME¹¹⁰.

The primary mechanism underlying PD-1 blockade is to restore the activity of exhausted immune cells, thereby reinitiating tumor-specific immune responses. However, the effectiveness of immune-mediated tumor elimination hinges on the recognition of tumor antigens by CTLs through MHC-I presentation. Evidence suggests that the co-expression of tsMHC-I and tsMHC-II on tumor cells is essential for achieving optimal responses to anti-PD-1 monotherapy. Interestingly, approximately 60% of patients who respond to combination immunotherapy, such as anti-PD-1 and anti-CTLA-4, exhibit reduced expression of tsMHC-I and tsMHC-II on melanoma cells. This paradoxical response is often observed in patients with unfavorable baseline prognostic features, including elevated serum LDH levels¹¹⁰.

Rodig et al.⁶³ examined the expression of tsMHC I and tsMHC-II in treatment-naïve melanoma patients and correlated these findings with transcriptomic profiles and clinical outcomes. Rodig et al.⁶³ reported that 43% of patients (78/181) exhibited loss of membrane-bound MHC-I expression in >50% of melanoma cells. This loss was linked to transcriptional repression of key antigen-presentation genes, including HLA-A, HLA-B, HLA-C, and β2M, and was associated with primary resistance to anti-CTLA-4 therapy. In contrast, tsMHC-II expression, defined as detection in >1% of melanoma cells, was observed in 30% of patients (55/181). This expression pattern correlated with interferon-gamma (IFN-γ)-induced gene signatures and was predictive of a favorable response to anti-PD-1 therapy.

These findings underscore the association between tsMHC-II expression and clinical outcomes, response to ICI, and tumor rejection in preclinical models. Consequently, melanoma patients with low MHC-I expression may obtain greater benefit from first-line combination immunotherapy, such as anti-PD-1 plus anti-CTLA-4, rather than PD-1 monotherapy. Nevertheless, the utility of MHC-I expression as a predictive biomarker for anti-PD-1 therapy remains controversial and requires further investigation.

Hematologic tumor

The frequency of MHC loss varies considerably among tumor types, with DLBCL exhibiting a relatively high incidence. The loss of tsMHC-I and tsMHC-II expression has been reported in approximately 40%–60% and 20%–40% of DLBCL cases, respectively^52,148. Ennishi et al.⁵² revealed a potential association between this loss and mutations that impair the function or expression of MHC molecules. Notably, mutations in EZH2 were frequently observed in tsMHC-I- and tsMHC-II-negative primary lymphomas. In support of this finding, in vitro experiments confirmed that EZH2 mutations can lead to downregulation of MHC expression.

In addition, another study demonstrated low expression of tsMHC-II-related genes in testicular DLBCL samples derived from immune-privileged sites. The findings revealed that diminished HLA-DR mRNA levels are associated with decrease in infiltrating CD3⁺ T cells and significant downregulation of genes involved in antigen presentation, T-cell activation, chemokine signaling, and components of the complement system¹⁴⁹. These findings suggest that tsMHC-II has a pivotal role in orchestrating anti-tumor immune responses and its downregulation in DLBCL may occur through multiple, context-specific mechanisms.

Clinically, tsMHC-II expression correlates with the International Prognostic Index (IPI) score and OS in DLBCL patients. The loss of tsMHC-II protein expression has been linked to poor survival outcomes in patients undergoing immunochemotherapy¹⁴⁹. Furthermore, studies have demonstrated that inhibition of the transcription factor, forkhead box P1 (FOXP1), restores tsMHC-II expression in activated B-cell-like (ABC) DLBCL cells¹⁵⁰. FOXP1 acts as a negative regulator of CIITA, the master transactivator of tsMHC-II. FOXP1 inhibition may enhance antigen presentation and improve immune surveillance in high-risk DLBCL patients¹⁵¹. Collectively, these findings underscore the pivotal role of tsMHC-II in the immune response to DLBCL and provide a rationale for developing immunomodulatory therapeutic strategies.

CHL exhibits a critical relationship with tsMHC-II expression in the context of tumor immunotherapy. tsMHC-II expression is associated with enhanced responses to anti-PD-1 therapy in CHL. Studies have shown that tsMHC-II-positive tumor cells correlate with improved clinical outcomes, including longer PFS and OS, as well as increased infiltration of CD4⁺ and CD8⁺ T cells. Additionally, MHC-II expression in Hodgkin Reed-Sternberg (HRS) cells may serve as a predictive biomarker of favorable outcomes following PD-1 blockade. These findings suggest that tsMHC-II expression in HRS cells facilitates tumor recognition by the immune system and has a key role in the efficacy of immunotherapy. Roemer et al.⁶⁹ evaluated the response of relapsed or refractory CHL patients to PD-1 blockade with nivolumab in the CheckMate trial. The findings indicated that clinical responses to nivolumab were independent of MHC-I expression in HRS cells, underscoring the distinctive predictive value of tsMHC-II expression for treatment outcomes in CHL.

Gynecologic tumor

TNBC is an aggressive subtype of breast cancer that is characterized by absence of the estrogen receptor (ER), progesterone receptor (PR), and HER2 expression^152,153. This subtype presents challenges due to aggressive behavior, high metastatic potential, frequent recurrence, and the lack of clearly defined therapeutic targets. Tumor cells may evade immune system surveillance by downregulating MHC molecules expression in TNBC. While the mechanisms underlying MHC-I and the role of immunosuppressive cells in the TME have been explored in other studies, herein we focus on the relationship between tsMHC-II expression and TNBC.

tsMHC-II expression in TNBC may influence tumor immunogenicity and responsiveness to immunotherapy. Forero et al.²² reported that the tsMHC-II antigen-presenting pathway in tumor tissues from TNBC patients is strongly associated with PFS. The analysis of 199 TNBC cases from a public gene expression database further corroborated the link between MHC-II pathway activity and favorable prognosis. The study demonstrated that altered expression of the tsMHC-II pathway in TNBC tumor cells can stimulate anti-tumor immune responses, reduce recurrence rates, and improve PFS. Similarly, tsMHC-II expression in tumor cells was closely associated with TILs and increased interferon signaling in TNBC¹¹³. Moreover, strategies aimed at enhancing tsMHC-II expression in TNBC tumor cells through genetic modification or pharmacologic interventions hold promise for improving antigen presentation and thereby augmenting the efficacy of immunotherapy.

Digestive system tumor

Epstein-Barr virus-associated gastric adenocarcinomas (EBVaGCs) are characterized by a more favorable clinical prognosis compared to other GC subtypes, which may be attributed to the persistent expression of viral antigens¹⁵⁴. A hallmark of tumor immune escape is the dysregulation of antigen presentation, often mediated by mechanisms that suppress tsMHC-II expression. However, the expression of tsMHC-II is notably upregulated in EBVaGCs, suggesting a different immune landscape compared to other GCs¹⁴⁶.

APCs typically present peptides via MHC-II to initiate immune responses. Epithelial cells can also express MHC-II and function as non-professional helper APCs under inflammatory conditions, thereby contributing to antigen presentation. tsMHC-II gene expression is significantly elevated in EBVaGCs, not only compared to normal gastric tissue but also relative to other GC subtypes, highlighting a unique aspect of the TME. Remarkably, the increased MHC-II expression exceeds that observed in professional APCs by several orders of magnitude, suggesting that this upregulation is unlikely due to increased APC infiltration. This observation is supported by the concomitant upregulation of key transcriptional regulators of the MHC-II pathway, such as CIITA and regulatory factor X5³⁸.

Furthermore, elevated intratumorally IFN-γ levels in EBVaGCs strongly correlate with increased expression of genes involved in the tsMHC-II antigen presentation pathway, reinforcing the central role of IFN-γ in driving this enhanced immune response. The upregulation of tsMHC-II and associated pathways may contribute to the improved survival outcomes observed in EBVaGC patients, as well as the heightened sensitivity to immune checkpoint inhibitors, such as pembrolizumab¹³⁰.

Future perspectives

Less

MHC-II has a pivotal role in anti-tumor immunity by presenting tumor-associated antigens to CD4⁺ T cells, thereby initiating and sustaining adaptive immune responses¹⁵⁵. However, many tumors evade immune surveillance by downregulating tsMHC-II expression or silencing the master regulator, CIITA. Accumulating evidence indicates that elevated MHC-II expression within TME correlates with increased immune cell infiltration, improved prognosis, and enhanced responsiveness to ICIs²¹.

Recent studies have investigated genetic, pharmacologic, and cytokine-based approaches to restore MHC-II expression, thereby enhancing antigen presentation and promoting CD4⁺ T cell priming. These strategies hold promise for synergizing with existing immunotherapies and broadening their efficacy, particularly in patient populations refractory to ICIs.

Nevertheless, critical challenges remain unresolved. Notably, the spatial and cellular heterogeneity of MHC-II expression within the TME is insufficiently characterized. Single-cell and spatial transcriptomic analyses have revealed substantial intra-tumoral variation in MHC-II expression, with certain tumor subpopulations, especially those proximal to immune cell niches, displaying enriched expression, while other regions remain MHC-II-silent¹⁵⁶. This heterogeneity may influence localized differences in antigen presentation capacity, CD4⁺ T cell engagement, and the formation of tertiary lymphoid structures. However, the underlying mechanisms and functional implications require systematic investigation.

Future research should aim to dissect the epigenetic and microenvironmental regulators of MHC-II silencing in tumor and stromal compartments, including tumor-associated macrophages and fibroblasts¹⁵⁷. In particular, identifying histone modifiers or DNA methylation pathways responsible for repressing CIITA or HLA-DRA may yield novel small-molecule epigenetic modulators to restore immunogenicity¹⁵⁸. Moreover, integrative multi-omics approaches, such as combining single-cell RNA sequencing, spatial transcriptomics, and proteomics, will be essential to mapping MHC-II expression landscapes and developing predictive biomarkers for patient stratification¹⁵⁹. Ultimately, a comprehensive mechanistic understanding of MHC-II regulation and heterogeneity within the TME will guide the rational design of next-generation tumor immunotherapies.

References

Less

Liu

, Zhou

, Tan

, Siu

KTH

, Guan

.Exploring treatment options in cancer: tumor treatment strategies.Signal Transduct Target Ther. 2024; 9: 175.

Bejarano

, Jordāo

MJC

, Joyce

.Therapeutic targeting of the tumor microenvironment.Cancer Discov. 2021; 11: 933–59.

Morrison

, Byrne

, Vonderheide

.Immunotherapy and prevention of pancreatic cancer.Trends Cancer. 2018; 4: 418–28.

Postow

, Sidlow

, Hellmann

.Immune-related adverse events associated with immune checkpoint blockade.N Engl J Med. 2018; 378: 158–68.

Ascierto

, Del Vecchio

, Robert

, Mackiewicz

, Chiarion-Sileni

, Arance

, et al.Ipilimumab 10 mg/kg versus ipilimumab 3 mg/kg in patients with unresectable or metastatic melanoma: a randomised, double-blind, multicentre, phase 3 trial.Lancet Oncol. 2017; 18: 611–22.

Weber

, Mandala

, Del Vecchio

, Gogas

, Arance

, Cowey

, et al.Adjuvant nivolumab versus ipilimumab in resected stage iii or iv melanoma.N Engl J Med. 2017; 377: 1824–35.

McGranahan

, Rosenthal

, Hiley

, Rowan

, Watkins

TBK

, Wilson

, et al.Allele-specific HLA loss and immune escape in lung cancer evolution.Cell. 2017; 171: 1259–71.e11.

Axelrod

, Cook

, Johnson

, Balko

.Biological consequences of MHC-II expression by tumor cells in cancer.Clin Cancer Res. 2019; 25: 2392–402.

Janssen

, Lemmens

, Wolfe

, Christen

, von Herrath

, Schoenberger

.CD4+ T cells are required for secondary expansion and memory in CD8+ T lymphocytes.Nature. 2003; 421: 852–6.

10.

Laidlaw

, Craft

, Kaech

.The multifaceted role of CD4(+) T cells in CD8(+) T cell memory.Nat Rev Immunol. 2016; 16: 102–11.

11.

Sun

, Bevan

.Defective CD8 T cell memory following acute infection without CD4 T cell help.Science. 2003; 300: 339–42.

12.

Ossendorp

, Mengedé

, Camps

, Filius

, Melief

.Specific T helper cell requirement for optimal induction of cytotoxic T lymphocytes against major histocompatibility complex class II negative tumors.J Exp Med. 1998; 187: 693–702.

13.

Spitzer

, Carmi

, Reticker-Flynn

, Kwek

, Madhireddy

, Martins

, et al.Systemic immunity is required for effective cancer immunotherapy.Cell. 2017; 168: 487–502.e15.

14.

Ahrends

, Bąbała

, Xiao

, Yagita

, van Eenennaam

, Borst

.CD27 agonism plus PD-1 blockade recapitulates CD4+ T-cell help in therapeutic anticancer vaccination.Cancer Res. 2016; 76: 2921–31.

15.

Quezada

, Simpson

, Peggs

, Merghoub

, Vider

, Fan

, et al.Tumor-reactive CD4(+) T cells develop cytotoxic activity and eradicate large established melanoma after transfer into lymphopenic hosts.J Exp Med. 2010; 207: 637–50.

16.

Bos

, Sherman

.CD4+ T-cell help in the tumor milieu is required for recruitment and cytolytic function of CD8+ T lymphocytes.Cancer Res. 2010; 70: 8368–77.

17.

Homet Moreno

, Zaretsky

, Garcia-Diaz

, Tsoi

, Parisi

, Robert

, et al.Response to programmed cell death-1 blockade in a murine melanoma syngeneic model requires costimulation, CD4, and CD8 T cells.Cancer Immunol Res. 2016; 4: 845–57.

18.

Hsiehchen

, Naqash

, Espinoza

, Von Itzstein

, Cortellini

, Ricciuti

, et al.Association between immune-related adverse event timing and treatment outcomes.Oncoimmunology. 2022; 11: 2017162.

19.

Roche

, Furuta

.The ins and outs of MHC class II-mediated antigen processing and presentation.Nat Rev Immunol. 2015; 15: 203–16.

20.

Johnson

, Bullock

, Neuwelt

, Poczobutt

, Kaspar

, Li

, et al.Cancer cell-intrinsic expression of MHC class II regulates the immune microenvironment and response to anti-PD-1 therapy in lung adenocarcinoma.J Immunol. 2020; 204: 2295–307.

21.

Johnson

, Estrada

, Salgado

, Sanchez

, Doxie

, Opalenik

, et al.Melanoma-specific MHC-II expression represents a tumour-autonomous phenotype and predicts response to anti-PD-1/PD-L1 therapy.Nat Commun. 2016; 7: 10582.

22.

Forero

, Li

, Chen

, Grizzle

, Updike

, Merz

, et al.Expression of the MHC class II pathway in triple-negative breast cancer tumor cells is associated with a good prognosis and infiltrating lymphocytes.Cancer Immunol Res. 2016; 4: 390–9.

23.

Devaiah

, Singer

.CIITA and its dual roles in MHC gene transcription.Front Immunol. 2013; 4: 476.

24.

, Zhao

, Zhang

, Chen

, Lin

, Yang

, et al.Not polymorphism but methylation of class II transactivator gene promoter IV associated with persistent HBV infection.J Clin Virol. 2006; 37: 282–6.

25.

van Tuyn

, Jaber-Hijazi

, MacKenzie

, Cole

, Mann

, Pawlikowski

, et al.Oncogene-expressing senescent melanocytes up-regulate MHC class II, a candidate melanoma suppressor function.J Invest Dermatol. 2017; 137: 2197–207.

26.

Wang

, Goliwas

, Severino

, Hough

, Van Vessem

, Wang

, et al.Mechanical strain induces phenotypic changes in breast cancer cells and promotes immunosuppression in the tumor microenvironment.Lab Invest. 2020; 100: 1503–16.

27.

Accolla

, Ramia

, Tedeschi

, Forlani

.CIITA-driven MHC class II expressing tumor cells as antigen presenting cell performers: toward the construction of an optimal anti-tumor vaccine.Front Immunol. 2019; 10: 1806.

28.

Okamoto

, Liu

, Luo

, Tanaka

, Cai

, Norris

, et al.Constitutively active inflammasome in human melanoma cells mediating autoinflammation via caspase-1 processing and secretion of interleukin-1beta.J Biol Chem. 2010; 285: 6477–88.

29.

Turner

, Meza-Perez

, Londoño

, Katre

, Peabody

, Smith

, et al.Epigenetic modifiers upregulate MHC II and impede ovarian cancer tumor growth.Oncotarget. 2017; 8: 44159–70.

30.

Yavorski

, Blanck

.MHC class II associated stomach cancer mutations correlate with lack of subsequent tumor development.Mol Clin Oncol. 2017; 7: 1119–21.

31.

Suárez-Alvarez

, Rodriguez

, Calvanese

, Blanco-Gelaz

, Suhr

, Ortega

, et al.Epigenetic mechanisms regulate MHC and antigen processing molecules in human embryonic and induced pluripotent stem cells.PLoS One. 2010; 5: e10192.

32.

Wright

, Ting

.Epigenetic regulation of MHC-II and CIITA genes.Trends Immunol. 2006; 27: 405–12.

33.

, Li

, Chen

, Liu

, Cui

, Yin

, et al.HLA-DRB1 and HLA-DQB1 methylation changes promote the occurrence and progression of Kazakh ESCC.Epigenetics. 2014; 9: 1366–73.

34.

Satoh

, Toyota

, Ikeda

, Morimoto

, Akino

, Mita

, et al.Epigenetic inactivation of class II transactivator (CIITA) is associated with the absence of interferon-gamma-induced HLA-DR expression in colorectal and gastric cancer cells.Oncogene. 2004; 23: 8876–86.

35.

Klutstein

, Nejman

, Greenfield

, Cedar

.DNA Methylation in cancer and aging.Cancer Res. 2016; 76: 3446–50.

36.

Tian

, Arai

, Gotoh

, Komiyama

, Fujimoto

, Kanai

.Prognostication of patients with clear cell renal cell carcinomas based on quantification of DNA methylation levels of CpG island methylator phenotype marker genes.BMC Cancer. 2014; 14: 772.

37.

Luo

, Nixon

, Gonzalez-Ericsson

, Sanchez

, Opalenik

, Li

, et al.DNA methyltransferase inhibition upregulates MHC-I to potentiate cytotoxic T lymphocyte responses in breast cancer.Nat Commun. 2018; 9: 248.

38.

Ghasemi

, Tessier

, Gameiro

, Maciver

, Cecchini

, Mymryk

.High MHC-II expression in Epstein-Barr virus-associated gastric cancers suggests that tumor cells serve an important role in antigen presentation.Sci Rep. 2020; 10: 14786.

39.

Yan

, Parsons

, Jin

, McLendon

, Rasheed

, Yuan

, et al.IDH1 and IDH2 mutations in gliomas.N Engl J Med. 2009; 360: 765–73.

40.

Gai

, Zeng

, Xu

, Chai

, Zou

, Zhuang

, et al.Comprehensive exploration of isocitrate dehydrogenase (IDH) mutations: tumorigenesis, drug discovery, and covalent inhibitor advances.Eur J Med Chem. 2025; 282: 117041.

41.

Pirozzi

, Yan

.The implications of IDH mutations for cancer development and therapy.Nat Rev Clin Oncol. 2021; 18: 645–61.

42.

Gialitakis

, Kretsovali

, Spilianakis

, Kravariti

, Mages

, Hoffmann

, et al.Coordinated changes of histone modifications and HDAC mobilization regulate the induction of MHC class II genes by Trichostatin A.Nucleic Acids Res. 2006; 34: 765–72.

43.

Beresford

, Boss

.CIITA coordinates multiple histone acetylation modifications at the HLA-DRA promoter.Nat Immunol. 2001; 2: 652–7.

44.

Green

, Kihira

, Liu

, Nair

, Salari

, Gentles

, et al.Mutations in early follicular lymphoma progenitors are associated with suppressed antigen presentation.Proc Natl Acad Sci U S A. 2015; 112: E1116–25.

45.

Hashwah

, Schmid

, Kasser

, Bertram

, Stelling

, Manz

, et al.Inactivation of CREBBP expands the germinal center B cell compartment, down-regulates MHCII expression and promotes DLBCL growth.Proc Natl Acad Sci U S A. 2017; 114: 9701–6.

46.

Suzuki

, Luo

.Histone acetylation and the regulation of major histocompatibility class II gene expression.Adv Protein Chem Struct Biol. 2017; 106: 71–111.

47.

Chou

, Khan

, Magner

, Tomasi

.Histone acetylation regulates the cell type specific CIITA promoters, MHC class II expression and antigen presentation in tumor cells.Int Immunol. 2005; 17: 1483–94.

48.

Cycon

, Mulvaney

, Rimsza

, Persky

, Murphy

.Histone deacetylase inhibitors activate CIITA and MHC class II antigen expression in diffuse large B-cell lymphoma.Immunology. 2013; 140: 259–72.

49.

Liu

, Barczak

, Lee

, Shrestha

, Provine

, Albayrak

, et al.The HDAC inhibitor zabadinostat is a systemic regulator of adaptive immunity.Commun Biol. 2023; 6: 102.

50.

Lodewijk

, Nunes

, Henrique

, Jerónimo

, Dueñas

, Paramio

.Tackling tumor microenvironment through epigenetic tools to improve cancer immunotherapy.Clin Epigenetics. 2021; 13: 63.

51.

Chan

, Wolchok

, Snyder

.Genetic basis for clinical response to CTLA-4 blockade in melanoma.N Engl J Med. 2015; 373: 1984.

52.

Ennishi

, Takata

, Béguelin

, Duns

, Mottok

, Farinha

, et al.Molecular and genetic characterization of MHC deficiency identifies EZH2 as therapeutic target for enhancing immune recognition.Cancer Discov. 2019; 9: 546–63.

53.

Lui

, Barnes

, Dong

, Yue

, Graber

, Rapaport

, et al.Ezh2 mutations found in the weaver overgrowth syndrome cause a partial loss of H3K27 histone methyltransferase activity.J Clin Endocrinol Metab. 2018; 103: 1470–8.

54.

Han

, Wu

, Liu

.Dysregulation in IFN-γ signaling and response: the barricade to tumor immunotherapy.Front Immunol. 2023; 14: 1190333.

55.

Ishibashi

, Saga

, Hisatomi

, Li

, Kaneda

, Nimura

.A simple method using CRISPR-Cas9 to knock-out genes in murine cancerous cell lines.Sci Rep. 2020; 10: 22345.

56.

, Li

, Jiang

, Yang

, Guo

, Yang

.Targeting MHC-I molecules for cancer: function, mechanism, and therapeutic prospects.Mol Cancer. 2023; 22: 194.

57.

Dai

, Zhu

, Wahed

, Qu

, Storkus

, Guo

.Epigenetic modulation of antitumor immunity for improved cancer immunotherapy.Mol Cancer. 2021; 20: 171.

58.

Briukhovetska

, Dörr

, Endres

, Libby

, Dinarello

, Kobold

.Interleukins in cancer: from biology to therapy.Nat Rev Cancer. 2021; 21: 481–99.

59.

Zika

, Greer

, Zhu

, Ting

.Histone deacetylase 1/mSin3A disrupts gamma interferon-induced CIITA function and major histocompatibility complex class II enhanceosome formation.Mol Cell Biol. 2003; 23: 3091–102.

60.

Ott

, Hu

, Keskin

, Shukla

, Sun

, Bozym

, et al.An immunogenic personal neoantigen vaccine for patients with melanoma.Nature. 2017; 547: 217–21.

61.

Loi

, Dushyanthen

, Beavis

, Salgado

, Denkert

, Savas

, et al.RAS/MAPK activation is associated with reduced tumor-infiltrating lymphocytes in triple-negative breast cancer: therapeutic cooperation between MEK and PD-1/PD-L1 immune checkpoint inhibitors.Clin Cancer Res. 2016; 22: 1499–509.

62.

Martins

, Deshayes

, Baton

, Forget

, Ciechomska

, Sylla

, et al.Pathologic expression of MHC class II is driven by mitogen-activated protein kinases.Eur J Immunol. 2007; 37: 788–97.

63.

Rodig

, Gusenleitner

, Jackson

, Gjini

, Giobbie-Hurder

, Jin

, et al.MHC proteins confer differential sensitivity to CTLA-4 and PD-1 blockade in untreated metastatic melanoma.Sci Transl Med. 2018; 10: eaar3342.

64.

Johnson

, Bordeaux

, Kim

, Vaupel

, Rimm

, Ho

, et al.Quantitative spatial profiling of PD-1/PD-L1 interaction and HLA-DR/IDO-1 predicts improved outcomes of anti-PD-1 therapies in metastatic melanoma.Clin Cancer Res. 2018; 24: 5250–60.

65.

Michel

, Linnebacher

, Alcaniz

, Voss

, Wagner

, Dippold

, et al.Lack of HLA class II antigen expression in microsatellite unstable colorectal carcinomas is caused by mutations in HLA class II regulatory genes.Int J Cancer. 2010; 127: 889–98.

66.

Callahan

, Nagymanyoki

, Bonome

, Johnson

, Litkouhi

, Sullivan

, et al.Increased HLA-DMB expression in the tumor epithelium is associated with increased CTL infiltration and improved prognosis in advanced-stage serous ovarian cancer.Clin Cancer Res. 2008; 14: 7667–73.

67.

Younger

, Amria

, Jeffrey

, Mahdy

, Goldstein

, Norris

, et al.HLA class II antigen presentation by prostate cancer cells.Prostate Cancer Prostatic Dis. 2008; 11: 334–41.

68.

Soos

, Krieger

, Stüve

, King

, Patarroyo

, Aldape

, et al.Malignant glioma cells use MHC class II transactivator (CIITA) promoters III and IV to direct IFN-gamma-inducible CIITA expression and can function as nonprofessional antigen presenting cells in endocytic processing and CD4(+) T-cell activation.Glia. 2001; 36: 391–405.

69.

Roemer

MGM

, Redd

, Cader

, Pak

, Abdelrahman

, Ouyang

, et al.Major histocompatibility complex class II and programmed death ligand 1 expression predict outcome after programmed death 1 blockade in classic Hodgkin lymphoma.J Clin Oncol. 2018; 36: 942–50.

70.

Oldford

, Robb

, Codner

, Gadag

, Watson

, Drover

.Tumor cell expression of HLA-DM associates with a Th1 profile and predicts improved survival in breast carcinoma patients.Int Immunol. 2006; 18: 1591–602.

71.

Oldford

, Robb

, Watson

, Drover

.HLA-DRB alleles are differentially expressed by tumor cells in breast carcinoma.Int J Cancer. 2004; 112: 399–406.

72.

Jabrane-Ferrat

, Faille

, Loiseau

, Poirier

, Charron

, Calvo

.Effect of gamma interferon on HLA class-I and -II transcription and protein expression in human breast adenocarcinoma cell lines.Int J Cancer. 1990; 45: 1169–76.

73.

Feinmesser

, Sulkes

, Morgenstern

, Sulkes

, Stern

, Okon

.HLA-DR and beta 2 microglobulin expression in medullary and atypical medullary carcinoma of the breast: histopathologically similar but biologically distinct entities.J Clin Pathol. 2000; 53: 286–91.

74.

Bártek

, Petrek

, Vojtĕsek

, Bártková

, Kovarík

, Rejthar

.HLA-DR antigens on differentiating human mammary gland epithelium and breast tumours.Br J Cancer. 1987; 56: 727–33.

75.

Hugo

, Zaretsky

, Sun

, Song

, Moreno

, Hu-Lieskovan

, et al.Genomic and transcriptomic features of response to anti-PD-1 therapy in metastatic melanoma.Cell. 2017; 168: 542.

76.

Galassi

, Chan

, Vitale

, Galluzzi

.The hallmarks of cancer immune evasion.Cancer Cell. 2024; 42: 1825–63.

77.

Roerden

, Spranger

.Cancer immune evasion, immunoediting and intratumour heterogeneity.Nat Rev Immunol. 2025; 25: 353–69.

78.

Dhatchinamoorthy

, Colbert

, Rock

.Cancer immune evasion through loss of MHC class I antigen presentation.Front Immunol. 2021; 12: 636568.

79.

Bernardo

, Tolstykh

, Zhang

, Bangari

, Cao

, Heyl

, et al.An experimental model of anti-PD-1 resistance exhibits activation of TGFß and Notch pathways and is sensitive to local mRNA immunotherapy.Oncoimmunology. 2021; 10: 1881268.

80.

Johnson

, Nixon

, Wang

, Castellanos

, Estrada

, et al.Tumor-specific MHC-II expression drives a unique pattern of resistance to immunotherapy via LAG-3/FCRL6 engagement.JCI Insight. 2018; 3: e120360.

81.

Gadaleta

, Thorn

, Ross-Adams

, Jones

, Chelala

.Field cancerization in breast cancer.J Pathol. 2022; 257: 561–74.

82.

Choi

, Song

, Lee

, Cho

, Kim

, et al.Lymphovascular invasion: traditional but vital and sensible prognostic factor in early gastric cancer.Ann Surg Oncol. 2021; 28: 8928–35.

83.

Liu

, Li

, Deng

, Li

.A comprehensive approach for evaluating lymphovascular invasion in invasive breast cancer: leveraging multimodal MRI findings, radiomics, and deep learning analysis of intra- and peritumoral regions.Comput Med Imaging Graph. 2024; 116: 102415.

84.

Harada

, Sasaki

, Murakami

, Nishiyama

, Nakabayashi

, Ichino

, et al.Compromised anti-tumor-immune features of myeloid cell components in chronic myeloid leukemia patients.Sci Rep. 2021; 11: 18046.

85.

Toloza

, Bestach

, Lincango-Yupanki

, Bordone

, Mariano

, Tarqui

, et al.Expression dynamics of the immune mediators ARG1, TBET, CIITA, IL10 and TGFB1 in chronic myeloid leukaemia patients during the first year of imatinib therapy.Gene. 2022; 813: 146110.

86.

Qian

, Luo

, Yang

, Liu

, Wang

, et al.TLR2 promotes glioma immune evasion by downregulating MHC class II molecules in microglia.Cancer Immunol Res. 2018; 6: 1220–33.

87.

, Lee

.Autophagy protein ATG5 regulates CD36 expression and anti-tumor MHC class II antigen presentation in dendritic cells.Autophagy. 2019; 15: 2091–106.

88.

Thibodeau

, Bourgeois-Daigneault

, Lapointe

.Targeting the MHC class II antigen presentation pathway in cancer immunotherapy.Oncoimmunology. 2012; 1: 908–16.

89.

Guedan

, Ruella

, June

.Emerging cellular therapies for cancer.Annu Rev Immunol. 2019; 37: 145–71.

90.

Brightman

, Naradikian

, Miller

, Schoenberger

.Harnessing neoantigen specific CD4 T cells for cancer immunotherapy.J Leukoc Biol. 2020; 107: 625–33.

91.

Yang

, Halima

, Chan

.Antigen presentation in cancer – mechanisms and clinical implications for immunotherapy.Nat Rev Clin Oncol. 2023; 20: 604–23.

92.

Gkountidi

, Garnier

, Dubrot

, Angelillo

, Harlé

, Brighouse

, et al.MHC class II antigen presentation by lymphatic endothelial cells in tumors promotes intratumoral regulatory T cell-suppressive functions.Cancer Immunol Res. 2021; 9: 748–64.

93.

Wendland

, Willenzon

, Kocks

, Davalos-Misslitz

, Hammerschmidt

, Schumann

, et al.Lymph node T cell homeostasis relies on steady state homing of dendritic cells.Immunity. 2011; 35: 945–57.

94.

, Park

, Shin

, Baik

, Mehrara

, Kataru

.Tumor-associated lymphatics upregulate MHC-II to suppress tumor-infiltrating lymphocytes.Int J Mol Sci. 2022; 23: 13470.

95.

Sánchez-Paulete

, Cueto

, Martínez-López

, Labiano

, Morales-Kastresana

, Rodríguez-Ruiz

, et al.Cancer immunotherapy with immunomodulatory anti-CD137 and anti-PD-1 monoclonal antibodies requires BATF3-dependent dendritic cells.Cancer Discov. 2016; 6: 71–9.

96.

Dunne

, Michielsen

, O’Sullivan

, Cathcart

, Feighery

, Doyle

, et al.HLA-DR expression in tumor epithelium is an independent prognostic indicator in esophageal adenocarcinoma patients.Cancer Immunol Immunother. 2017; 66: 841–50.

97.

Gaida

, Welsch

, Herpel

, Tschaharganeh

, Fischer

, Schirmacher

, et al.MHC class II expression in pancreatic tumors: a link to intratumoral inflammation.Virchows Arch. 2012; 460: 47–60.

98.

, Hattori

, Kushima

, Terata

, Kodama

.Expression of HLA-class II antigen in gastric carcinomas. Its relationship to histopathological grade, lymphocyte infiltration and five-year survival rate.Acta Oncol. 1994; 33: 187–90.

99.

Warabi

, Kitagawa

, Hirokawa

.Loss of MHC class II expression is associated with a decrease of tumor-infiltrating T cells and an increase of metastatic potential of colorectal cancer: immunohistological and histopathological analyses as compared with normal colonic mucosa and adenomas.Pathol Res Pract. 2000; 196: 807–15.

100.

Cioni

, Jordanova

, Hooijberg

, van der Linden

, de Menezes

, Tan

, et al.HLA class II expression on tumor cells and low numbers of tumor-associated macrophages predict clinical outcome in oropharyngeal cancer.Head Neck. 2019; 41: 463–78.

101.

Esteban

, Ruiz-Cabello

, Concha

, Pérez-Ayala

, Sánchez-Rozas

, Garrido

.HLA-DR expression is associated with excellent prognosis in squamous cell carcinoma of the larynx.Clin Exp Metastasis. 1990; 8: 319–28.

102.

Diep

, Kim

, Cho

, Lee

.Nanomedicine for advanced cancer immunotherapy.J Control Release. 2022; 351: 1017–37.

103.

Slotta-Huspenina

, Schwamborn

, Steiger

, Simon

, Kirchhoff

, Büchler

, et al.MHC I expression predicts response to checkpoint inhibitors in metastatic urothelial carcinoma but lacks prognostic value in localized disease.Bladder Cancer. 2022; 8: 269–76.

104.

Samuels

, Spaans

, Osse

, Peters

, Kenter

, Fleuren

, et al.Human leukocyte antigen-DR expression is significantly related to an increased disease-free and disease-specific survival in patients with cervical adenocarcinoma.Int J Gynecol Cancer. 2016; 26: 1503–9.

105.

Darom

, Gomatos

, Leandros

, Chatzigianni

, Panousopoulos

, Konstadoulakis

, et al.Molecular markers (PECAM-1, ICAM-3, HLA-DR) determine prognosis in primary non-Hodgkin’s gastric lymphoma patients.World J Gastroenterol. 2006; 12: 1924–32.

106.

Bernd

, Ziepert

, Thorns

, Klapper

, Wacker

, Hummel

, et al.Loss of HLA-DR expression and immunoblastic morphology predict adverse outcome in diffuse large B-cell lymphoma – analyses of cases from two prospective randomized clinical trials.Haematologica. 2009; 94: 1569–80.

107.

Panelli

, Wang

, Shen

, Schluter

, Bernstein

, Hersh

, et al.Interferon gamma (IFNgamma) gene transfer of an EMT6 tumor that is poorly responsive to IFNgamma stimulation: increase in tumor immunogenicity is accompanied by induction of a mouse class II transactivator and class II MHC.Cancer Immunol Immunother. 1996; 42: 99–107.

108.

Azzi

, Celesti

, Chiaravalli

, Shaik

AKB

, Shallak

, Gatta

, et al.Novel vaccination strategies based on optimal stimulation of CD4⁺ T helper cells for the treatment of oral squamous cell carcinoma.Front Immunol. 2024; 15: 1387835.

109.

Dong

, Wen

, He

, Zhang

, Xiang

, Liang

, et al.Nilotinib boosts the efficacy of anti-PDL1 therapy in colorectal cancer by restoring the expression of MHC-I.J Transl Med. 2024; 22: 769.

110.

Shklovskaya

, Lee

, Lim

, Stewart

, Pedersen

, Ferguson

, et al.Tumor MHC expression guides first-line immunotherapy selection in melanoma.Cancers (Basel). 2020; 12: 3374.

111.

Macy

, Herrmann

, Adams

, Hastings

.Major histocompatibility complex class II in the tumor microenvironment: functions of nonprofessional antigen-presenting cells.Curr Opin Immunol. 2023; 83: 102330.

112.

Yang

, Li

, Huang

, Yin

, Chu

, Ma

, et al.Dynamic tumor-specific MHC-II immuno-PET predicts the efficacy of checkpoint inhibitor immunotherapy in melanoma.J Nucl Med. 2022; 63: 1708–14.

113.

Park

, Hwang

, Song

, Heo

, Kim

, Bang

, et al.Expression of the MHC class II in triple-negative breast cancer is associated with tumor-infiltrating lymphocytes and interferon signaling.PLoS One. 2017; 12: e0182786.

114.

Wang

, Chai

, Quan

, Wang

, Song

, Zhou

, et al.NPM1 inhibits tumoral antigen presentation to promote immune evasion and tumor progression.J Hematol Oncol. 2024; 17: 97.

115.

Zhang

, Zhang

.The history and advances in cancer immunotherapy: understanding the characteristics of tumor-infiltrating immune cells and their therapeutic implications.Cell Mol Immunol. 2020; 17: 807–21.

116.

Saxena

, van der Burg

, Melief

CJM

, Bhardwaj

.Therapeutic cancer vaccines.Nat Rev Cancer. 2021; 21: 360–78.

117.

Hollingsworth

, Jansen

.Turning the corner on therapeutic cancer vaccines.NPJ Vaccines. 2019; 4: 7.

118.

Yoshimura

, Minami

, Nozawa

, Kimura

, Egawa

, Fujimoto

, et al.A phase 2 randomized controlled trial of personalized peptide vaccine immunotherapy with low-dose dexamethasone versus dexamethasone alone in chemotherapy-naive castration-resistant prostate cancer.Eur Urol. 2016; 70: 35–41.

119.

Dong

, Guo

, Han

, He

, Wang

.Emerging role of natural products in cancer immunotherapy.Acta Pharm Sin B. 2022; 12: 1163–85.

120.

Zhao

, Cai

, Jiang

, He

, Wei

, Yu

, et al.Vaccine adjuvants: mechanisms and platforms.Signal Transduct Target Ther. 2023; 8: 283.

121.

Sabado

, Balan

, Bhardwaj

.Dendritic cell-based immunotherapy.Cell Res. 2017; 27: 74–95.

122.

Chang

, Lai

, Chyan

, Yin

, Chen

, Wei

, et al.Specific medicinal plant polysaccharides effectively enhance the potency of a DC-based vaccine against mouse mammary tumor metastasis.PLoS One. 2015; 10: e0122374.

123.

Miao

, Zhang

, Huang

.mRNA vaccine for cancer immunotherapy.Mol Cancer. 2021; 20: 41.

124.

Poudel

, Vithiananthan

, Kim

, Tsao

.Recent progress in cancer vaccines and nanovaccines.Biomaterials. 2025; 314: 122856.

125.

Sellars

, Wu

, Fritsch

.Cancer vaccines: building a bridge over troubled waters.Cell. 2022; 185: 2770–88.

126.

Laumont

, Vincent

, Hesnard

, Audemard

, Bonneil

, Laverdure

, et al.Noncoding regions are the main source of targetable tumor-specific antigens.Sci Transl Med. 2018; 10: eaau5516.

127.

Ward

, Gubin

, Schreiber

.The role of neoantigens in naturally occurring and therapeutically induced immune responses to cancer.Adv Immunol. 2016; 130: 25–74.

128.

Gadgeel

, Rodríguez-Abreu

, Speranza

, Esteban

, Felip

, Dómine

, et al.Updated analysis from KEYNOTE-189: pembrolizumab or placebo plus pemetrexed and platinum for previously untreated metastatic nonsquamous non-small-cell lung cancer.J Clin Oncol. 2020; 38: 1505–17.

129.

Brown

, Lee

, Snow

, Vance

, Iwakura

, Ohno

, et al.Fungal-derived cues promote ocular autoimmunity through a Dectin-2/Card9-mediated mechanism.Clin Exp Immunol. 2017; 190: 293–303.

130.

Yang

, Sun

, Wang

, Fang

, Yu

, Han

, et al.Updated overall survival data and predictive biomarkers of sintilimab plus pemetrexed and platinum as first-line treatment for locally advanced or metastatic nonsquamous NSCLC in the phase 3 ORIENT-11 study.J Thorac Oncol. 2021; 16: 2109–20.

131.

Gonzalez-Ericsson

, Wulfkhule

, Gallagher

, Sun

, Axelrod

, Sheng

, et al.Tumor-specific major histocompatibility-II expression predicts benefit to anti-PD-1/L1 therapy in patients with HER2-negative primary breast cancer.Clin Cancer Res. 2021; 27: 5299–306.

132.

Sabbatino

, Liguori

, Polcaro

, Salvato

, Caramori

, Salzano

, et al.Role of human leukocyte antigen system as a predictive biomarker for checkpoint-based immunotherapy in cancer patients.Int J Mol Sci. 2020; 21: 7295.

133.

Pardoll

.The blockade of immune checkpoints in cancer immunotherapy.Nat Rev Cancer. 2012; 12: 252–64.

134.

Alspach

, Lussier

, Miceli

, Kizhvatov

, DuPage

, Luoma

, et al.MHC-II neoantigens shape tumour immunity and response to immunotherapy.Nature. 2019; 574: 696–701.

135.

Yang

, Trivedi

, Dyson

, Gu

, Candelario

, Yegorov

, et al.Identification of tumor rejection antigens and the immunologic landscape of medulloblastoma.Genome Med. 2024; 16: 102.

136.

Kreiter

, Vormehr

, van de Roemer

, Diken

, Löwer

, Diekmann

, et al.Mutant MHC class II epitopes drive therapeutic immune responses to cancer.Nature. 2015; 520: 692–6.

137.

Luo

, Xia

, Liu

, Li

, Liu

, et al.Neoadjuvant PARPi or chemotherapy in ovarian cancer informs targeting effector Treg cells for homologous-recombination-deficient tumors.Cell. 2024; 187: 4905–25.e24.

138.

Castle

, Kreiter

, Diekmann

, Löwer

, van de Roemer

, de Graaf

, et al.Exploiting the mutanome for tumor vaccination.Cancer Res. 2012; 72: 1081–91.

139.

Blass

, Ott

.Advances in the development of personalized neoantigen-based therapeutic cancer vaccines.Nat Rev Clin Oncol. 2021; 18: 215–29.

140.

Melief

, van der Burg

.Immunotherapy of established (pre)malignant disease by synthetic long peptide vaccines.Nat Rev Cancer. 2008; 8: 351–60.

141.

Rock

, Reits

, Neefjes

.Present yourself! By MHC class I and MHC class II molecules.Trends Immunol. 2016; 37: 724–37.

142.

Feng

, Liu

, Su

, Meng

, Guo

, et al.3D genome contributes to MHC-II neoantigen prediction.BMC Genomics. 2024; 25: 889.

143.

Kim

, Lee

, Kim

, et al.The identification of effective tumor-suppressing neoantigens using a tumor-reactive TIL TCR-pMHC ternary complex.Exp Mol Med. 2024; 56: 1461–71.

144.

Xie

, Shen

, Gao

, Huang

, Fu

.Neoantigens: promising targets for cancer therapy.Signal Transduct Target Ther. 2023; 8: 9.

145.

Paulson

, Voillet

, McAfee

, Hunter

, Wagener

, Perdicchio

, et al.Acquired cancer resistance to combination immunotherapy from transcriptional loss of class I HLA.Nat Commun. 2018; 9: 3868.

146.

Salnikov

, MacNeil

, Mymryk

.The viral etiology of EBV-associated gastric cancers contributes to their unique pathology, clinical outcomes, treatment responses and immune landscape.Front Immunol. 2024; 15: 1358511.

147.

Liu

, Liu

, Niu

, Chen

, Li

, Yu

, et al.Massively parallel interrogation of human functional variants modulating cancer immunosurveillance.Signal Transduct Target Ther. 2025; 10: 88.

148.

Yoshihama

, Roszik

, Downs

, Meissner

, Vijayan

, Chapuy

, et al.NLRC5/MHC class I transactivator is a target for immune evasion in cancer.Proc Natl Acad Sci U S A. 2016; 113: 5999–6004.

149.

Rimsza

, Farinha

, Fuchs

, Masoudi

, Connors

, Gascoyne

.HLA-DR protein status predicts survival in patients with diffuse large B-cell lymphoma treated on the MACOP-B chemotherapy regimen.Leuk Lymphoma. 2007; 48: 542–6.

150.

Koon

, Ippolito

, Banham

, Tucker

.FOXP1: a potential therapeutic target in cancer.Expert Opin Ther Targets. 2007; 11: 955–65.

151.

Brown

, Wong

, Felce

, Lyne

, Spearman

, Soilleux

, et al.FOXP1 suppresses immune response signatures and MHC class II expression in activated B-cell-like diffuse large B-cell lymphomas.Leukemia. 2016; 30: 605–16.

152.

Kandula

, Ch

, Ys

.Molecular mechanism and targeted therapy options of triple-negative (ER, PgR, HER-2/neu) breast cancer: review.World J Oncol. 2013; 4: 137–41.

153.

Derakhshan

, Reis-Filho

.Pathogenesis of triple-negative breast cancer.Annu Rev Pathol. 2022; 17: 181–204.

154.

Corallo

, Lasagna

, Filippi

, Alaimo

, Tortorella

, Serra

, et al.Unlocking the potential: Epstein-Barr virus (EBV) in gastric cancer and future treatment prospects, a literature review.Pathogens. 2024; 13: 728.

155.

Kambayashi

, Laufer

.Atypical MHC class II-expressing antigen-presenting cells: can anything replace a dendritic cell?Nat Rev Immunol. 2014; 14: 719–30.

156.

Liu

, Ye

, He

, Chi

, Wang

, Wen

, et al.Single-cell and spatial transcriptome analyses reveal tertiary lymphoid structures linked to tumour progression and immunotherapy response in nasopharyngeal carcinoma.Nat Commun. 2024; 15: 7713.

157.

Garrido

, Aptsiauri

.Cancer immune escape: MHC expression in primary tumours versus metastases.Immunology. 2019; 158: 255–66.

158.

Zika

, Ting

.Epigenetic control of MHC-II: interplay between CIITA and histone-modifying enzymes.Curr Opin Immunol. 2005; 17: 58–64.

159.

Burdett

, Willis

, Pandey

, Twomey

, Alaei

, Bowtell

DDL

, et al.Timing of whole genome duplication is associated with tumor-specific MHC-II depletion in serous ovarian cancer.Nat Commun. 2024; 15: 6069.

Appendix

Less

Year 2025 volume 22 Issue 11

PDF

Cite this Article

BibTeX

Article Info

doi: 10.20892/j.issn.2095-3941.2025.0248

Receive Date：2025-05-09
Online Date：2026-04-03
Published：2025-11-15

Article Data

Affiliations

History

Received：2025-05-09
Accepted：2025-08-23

Affiliations

¹Department of Gastric Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang 310022, China

²Key Laboratory of Prevention, Diagnosis and Therapy of Upper Gastrointestinal Cancer of Zhejiang Province, Hangzhou, Zhejiang 310022, China

³Zhejiang Provincial Research Center for Upper Gastrointestinal Tract Cancer, Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China

Corresponding:

hucan@zjcc.org.cn

xuzy@zjcc.org.cn

References

Share

https://castjournals.cast.org.cn/joweb/cbm/EN/10.20892/j.issn.2095-3941.2025.0248

Share to

Scan QR to access full text

Cite this article

BibTeX

Citations

表12种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

关闭全屏

BibTeX
EndNote
RefWorks
TxT

Table 1 Comparative analysis of MHC-I and MHC-II molecules in tumor immunology

Feature	MHC-I	MHC-II
Molecular Structure	Heterodimer: one α-chain (with α1, α2, and α3 domains) and β2-microglobulin	Heterodimer: α-chain and β-chain (both membrane-anchored, each with 2 domains)
Gene Loci	HLA-A, HLA-B, and HLA-C	HLA-DP, HLA-DQ, and HLA-DR
Peptide Binding Groove	Closed at both ends; binds short peptides (8–11 aa)	Open-ended groove; binds longer peptides (13–25 aa)
Cellular Distribution	All nucleated cells (except neurons, some trophoblasts)	Professional APCs: DCs, B cells, and macrophages; sometimes tumor cells (tsMHC-II)
Antigen Origin	Endogenous (intracellular proteins, including neoantigens)	Exogenous (extracellular proteins and phagocytosed material)
Presentation Target	CTLs	CD4⁺ Th
Immunological Role	Direct CTL-mediated killing of tumor cells	Supports CTL priming, sustains immune memory, enhances CD8⁺via CD4⁺ help, and shapes the TME
Relevance to Immune Checkpoint Therapy	Loss of MHC-I = resistance to CTLs and poor ICB response	High MHC-II = better ICB response, more TILs, and enhanced CD4⁺ support
Immune Escape Mechanism	Downregulation or mutated of MHC-I to escape CD8⁺ T cells killing	Silencing of CIITA or epigenetic repression to avoid CD4⁺ T cells
Therapeutic Implication	Targeted by TCR-T and CTL therapies	CD4⁺ TCR-T, CAR-T, and MHC-II vaccines

APCs, antigen-presenting cells; CAR-T, chimeric antigen receptor T cells; CIITA, class II transactivator; CTLs, CD8⁺ cytotoxic T lymphocytes; DCs, dendritic cells; HLA, human leukocyte antigen; ICB, immune checkpoint blockade; TCR-T, T cell receptor-engineered T Cells; Th, helper T cell; TILs, tumor-infiltrating lymphocytes; TME, tumor microenvironment; tsMHC-II, tumor-specific MHC-II.

Table 2 Therapeutic strategies targeting MHC-II in tumor immunotherapy

Category	Strategy	Title	Mechanism	Tumor types	Clinical status	Reference
Vaccine	MHC-II-restricted peptide vaccines	S-6MHP–peptide vaccine (6 melanoma helper peptides + GM-CSF)	Activates CD4⁺ T cells, promotes helper function	– Melanoma – NSCLC	Phase I/II trials	¹²⁶
Vaccine	DC vaccines presenting MHC-II neoantigens	ICT-107 glioblastoma trial (Phase II, NCT01280552)	Potent activation of CD4⁺ and CD8⁺ T cells	– Glioma – Prostate cancer	Phase I/II	⁶⁰
ICI combination	Anti-PD-1 + MHC-II vaccine	6MHP peptide vaccine + pembrolizumab trial (Phase I/II)	Enhances T cell priming, synergizes with checkpoint blockade	Breast cancer	Preclinical	¹²⁷
Epigenetic enhancer	CIITA-inducing HDAC inhibitors	Preclinical agents (e.g., pracinostat)	Reactivates MHC-II pathway via chromatin remodeling	– Colon cancer – Melanoma	Preclinical	⁵¹
Engineered T cell therapy	MHC-II-restricted TCR-T/CAR-T	Mesothelin-CAR-T trial in pleural mesothelioma (NCT02414269)	Targets peptide-MHC-II complexes on tumor cells	– Mesothelioma – Melanoma	Preclinical	⁸⁹

CAR-T, chimeric antigen receptor T cells; GM-CSF, granulocyte-macrophage colony-stimulating factor; HDAC, histone deacetylase; ICI, immune checkpoint inhibitor; ICT, immune checkpoint therapy; NSCLC, non-small cell lung cancer; S-6MHP–peptide vaccine, synthetic 6 multi-HLA-binding peptides vaccine; TCR-T, T cell receptor-engineered T cells.

Table 3 Prognostic impact of MHC-II expression across tumor types

System	Tumor type	TsMHC-II expression profile	Associated clinical outcome	Reference
Cutaneous tumor	Melanoma	High tsMHC-II correlates with increased CD4⁺ T cell infiltration and Th1 responses	High expression of MHC-II referring to: – Prolonged OS; – Enhanced response to anti-PD-1 therapy	²¹
Hematologic tumor	CHL	MHC-II expression retained on Reed–Sternberg cells, facilitating tumor immunogenicity	Durable and sustained responses to PD-1 blockade	⁶⁹
Hematologic tumor	DLBCL	Frequent loss or downregulation of MHC-II expression, contributing to immune escape	Low expression of MHC-II referring to: – Poorer prognosis; – Reduced sensitivity to ICIs	⁵²
Gynecologic tumor	TNBC	Upregulated MHC-II gene signature (e.g., HLA-DPA1 and CIITA)	High expression of MHC-II referring to: – Longer PFS; – Improved clinical response to immunotherapy	²²
Digestive system tumor	GAC	Co-expression of tsMHC-II and LAG-3 in TME reflects an inflamed immune phenotype	Co-expression of MHC-II and LAG-3 in TME referring to: – Better prognosis – Potential biomarker for immunotherapy responsiveness	¹⁴⁶

CHL, classical Hodgkin lymphoma; CIITA, class II transactivator; DLBCL, diffuse large B-cell lymphoma; GAC, gastric adenocarcinoma; HLA-DPA1, human leukocyte antigen-DP alpha 1; ICIs, immune checkpoint inhibitors; LAG-3, lymphocyte activation gene-3; OS, overall survival; PFS, progression-free survival; PD-1, programmed death receptor 1; Th, T helper cell; TNBC, triple-negative breast cancer; TME, tumor microenvironment.

Figure 1 The structure and function of MHC. (A) MHC-II antigen presentation pathway. This pathway illustrates the process by which exogenous antigens (e.g., TAAs, apoptotic bodies, or cellular debris) are internalized by APCs through phagocytosis. These antigens are subsequently processed within endosomal compartments, where the antigens are degraded into peptides. The peptides are then loaded onto MHC-II molecules, which are trafficked to the cell surface. Peptide–MHC-II are recognized by CD4⁺ T cells via the TCR at the membrane, leading to activation and cytokine secretion. This pathway is primarily involved in initiating and modulating Th cell responses. (B) MHC-I antigen presentation pathway. This pathway shows the presentation of endogenous antigens (e.g., cytosolic proteins from tumor cells or intracellular pathogens). These proteins are degraded by proteasomes into peptide fragments, which are then translocated into the endoplasmic reticulum where the proteins are loaded onto MHC-I molecules. The peptide–MHC-I complexes are transported to the cell surface, where the peptide–MHC-I complexes are recognized by CD8⁺ CTLs via the TCRs. This recognition enables CTLs to target and eliminate infected or malignant cells. pAPCs may also cross-present exogenous antigens via the MHC-I pathway to activate naïve CD8⁺ T cells. APC: antigen-presenting cell; CTL: cytotoxic T lymphocyte; MHC-I: major histocompatibility complex class I; MHC-II: major histocompatibility complex class II; pAPC: professional antigen-presenting cell; TAA, tumor-associated antigen; TCR, T cell receptor. The figure was created by Figdraw.

Figure 2 The specific mechanism of MHC-II in tumors. This figure summarizes the complex regulatory mechanisms, immunologic functions, and immune escape pathways associated with tsMHC-II expression in cancer. Expression. The regulation of MHC-II expression is shown in two signaling pathways. tsMHC-II expression on tumor cells is primarily induced by cytokines, such as IFN-γ and IL-4, through the JAK/STAT signaling pathway, which drives CIITA transcription. Conversely, immunosuppressive factors, including TGF-β and IL-10, inhibit MHC-II expression via the RAS/MAPK signaling pathway. Function. tsMHC-II enables tumor cells to present antigens to CD4⁺ T cells when expressed, resulting in CD4⁺ T cell activation and Th1 polarization. Activated CD4⁺ T cells support CD8⁺ T cell cytotoxicity, enhance dendritic cell and B cell functions, and secrete IFN-γ, which reprograms the TME toward a more inflamed and immunoresponsive state. CD4⁺ T cells mediate cytotoxicity against MHC-II⁺ tumor cells in some situations. Immune Escape. Downregulation or loss of tsMHC-II expression restricts antigen presentation, limits CD4⁺ T cell priming, and promotes recruitment of Tregs, fostering an immunosuppressive microenvironment. In addition, increased IFN-γ signaling associated with tsMHC-II expression can induce PD-L1 upregulation on tumor cells, forming a negative feedback loop that dampens T cell activity. Taken together, this figure underscores the dual-edged role of tsMHC-II in shaping antitumor immunity and immune escape, highlighting the therapeutic implications. APC: antigen-presenting cell; CIITA: class II transactivator; DC: dendritic cell; IFN-γ: interferon gamma; IL-4: interleukin-4; IL-10: interleukin-10; JAK/STAT: Janus kinase/signal transducer and activator of transcription; MHC-II: major histocompatibility complex class II; PD-L1: programmed death-ligand 1; RAS/MAPK: RAS/mitogen-activated protein kinase pathway; TGF-β: transforming growth factor beta; Th1: T helper type 1 cell; TME: tumor microenvironment; Treg: regulatory T cell; tsMHC-II: tumor-specific MHC class II. The figure was created by Figdraw.

Figure 3 Expression and clinical significance of MHC-II. This figure summarizes the multifaceted regulation of MHC-II expression and the immunologic and clinical implications in TME through four distinct panels (A-D): (A) Transcriptional regulation of MHC-II via CIITA and its promoters. MHC-II expression in immune and tumor cells is transcriptionally controlled by CIITA. CIITA activity is modulated by four distinct promoters (pI–pIV) that are differentially regulated in various cell types. IFN-γ stimulation activates CIITA, particularly via pIV, leading to increased MHC-II expression in tumor cells and APCs, such as dendritic cells and macrophages. (B) Epigenetic modulation of MHC-II expression. Epigenetic mechanisms, including DNA methylation and histone acetylation, further influence MHC-II gene expression. DNA hypermethylation or histone deacetylation can silence CIITA and MHC-II expression in tumor cells, leading to immune evasion. Conversely, HATs promote open chromatin and gene transcription, favoring MHC-II upregulation. (C) Cytokine-mediated regulation in pAPCs. Cytokines have a pivotal role in modulating MHC-II expression in pAPCs. IFN-I, GM-CSF, IL-4, and TNF-α upregulate MHC-II levels by enhancing CIITA transcription or stabilizing MHC-II complexes. In contrast, IL-10 suppresses MHC-II expression and APC function, contributing to an immunosuppressive TME. (D) Clinical relevance and potential as a biomarker. TsMHC-II can be detected in tumor tissues via IHC. High tsMHC-II expression correlates with an inflamed TME, characterized by increased T cell infiltration and immune activation, and is associated with better patient prognosis and responsiveness to immunotherapy. Thus, tsMHC-II serves as a promising prognostic and predictive biomarker in various cancers. APCs: antigen-presenting cells; CIITA: class II transactivator; DCs: dendritic cells; GM-CSF: granulocyte-macrophage colony-stimulating factor; HATs: histone acetyltransferases; IFN-I/IFN-γ: type I/gamma interferons; IHC: immunohistochemistry; IL: interleukin; MHC-II: major histocompatibility complex class II; pAPCs: professional antigen-presenting cells; pI–pIV: promoters I to IV; TME: tumor microenvironment; TNF-α: tumor necrosis factor-alpha; tsMHC-II: tumor-specific MHC class II. The figure was created by Figdraw.

Figure 4 The role of PD-1/PD-L1 in tumor immunotherapy. This diagram illustrates the immune regulatory interactions between tumor cells, APCs, T cells, and B cells within the context of tumor immunotherapy, highlighting the role of PD-1/PD-L1 signaling. Each section is labeled as (A), (B), and (C), representing key components of the immune response. (A) Tumor cell-T cell interaction. Tumor cells express PD-L1 on the surface, which interacts with PD-1 receptors on T cells, leading to the inhibition of T cell activation, proliferation, and cytolytic activity. The TCR on the T cell is essential for recognizing tumor antigens presented by MHC-I molecules on the tumor cell surface. The engagement of PD-1 with PD-L1 prevents the activation and proliferation of the T cell, which hampers the ability of the immune system to recognize and eliminate the tumor. This immune checkpoint can be targeted for immunotherapy to block the PD-1/PD-L1 interaction, thereby enhancing anti-tumor immunity. Additionally, activated T cells secrete IFN-γ, which can increase PD-L1 expression on tumor cells, forming a feedback loop that further suppresses T cell activity. (B) B cell-T cell-tumor cell interaction. B cells can contribute to anti-tumor immunity by presenting antigens via MHC-II to CD4⁺ T cells. B cells can express PD-1 similar to T cells and PD-L1 on tumor cells can interact with PD-1 on B cells, suppressing B cell activation and antibody production. IFN-γ in the TME further shapes B cell activity by enhancing antigen presentation and modulating cytokine production. This bidirectional communication between B cells, T cells, and tumor cells influences tumor antigen recognition and immune regulation. (C) APC interaction with T cells. Professional APCs, such as dendritic cells, express MHC-II and costimulatory molecules, like B7-1 (CD80) and B7-2 (CD86), which are necessary for T cell activation. The APC presents antigens through the TCR/MHC-II complex, which induces T cell activation, proliferation, and cytolysis of tumor cells. Engagement of CD28 on the T cell with B7-1/B7-2 on the APC promotes T cell activation. However, the presence of CTLA-4 on the T cell can act as a negative regulator of this response, inhibiting T cell activation. IFN-γ is also produced by activated T cells, contributing to the inflammatory tumor microenvironment. APC: antigen-presenting cell; B7-1 (CD80): B7 homolog 1, also known as CD80; B7-2 (CD86): B7 homolog 2, also known as CD86; CD28: cluster of differentiation 28; CTLA-4: cytotoxic T lymphocyte-associated protein 4; IFN-γ: interferon-gamma; MHC-I: major histocompatibility complex class I; PD-1: programmed cell death protein 1; PD-L1: programmed cell death ligand 1; TCR: T cell receptor. The figure was created by Figdraw.

Articles: Latest Articles; Most Read; Collections

Updates: Events; News; Multimedia

About: About Us

Contact

No. 86 Xueyuan South Road, Haidian District, Beijing

100081

010-62199257

qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House