Evidence map›Paper›PMID 40131544›Full record

ArticleCancer immunology, immunotherapy : CII2025

DNA methylation-regulated HLA-C expression modulates immune responses and metabolic alterations to influence prognosis in mesothelioma.

Huilin Zhang, Luanxue Yu, Yunqing Guo, Jiawei Ming, Zhenying Guo

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Article in Cancer immunology, immunotherapy : CII, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Huilin ZhangDepartment of Surgical Pathology, School of Medicine, Women's Hospital, Zhejiang University, Hangzhou, China.
Luanxue YuSchool of Pharmacy, Hangzhou Normal University, Hangzhou, China.
Yunqing GuoJing Hengyi School of Education, Hangzhou Normal University, Hangzhou, China.
Jiawei MingSchool of Public Health, Hangzhou Medical College, Hangzhou, China.
Zhenying GuoDepartment of Pathology, Cancer Center, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China. ivyguocn@126.com.

Funding

National Natural Science Foundation of China 82072577
6 · The paper itself

Abstract

backgroundMalignant mesothelioma is a highly aggressive cancer with a poor prognosis and limited therapeutic options. The tumor microenvironment (TME) plays a pivotal role in driving tumor progression, with immune cells influencing disease outcomes. However, the molecular mechanisms underpinning mesothelioma's progression remain insufficiently understood. HLA-C, a class I major histocompatibility complex (MHC) molecule, has been implicated in immune modulation and cancer progression, but its specific role in mesothelioma has yet to be thoroughly investigated.

methodsThis study employed a comprehensive multi-omics approach, integrating single-cell RNA sequencing, expression quantitative trait loci (eQTL) analysis, and Mendelian randomization (MR), to elucidate the role of HLA-C in mesothelioma progression. We first analyzed HLA-C expression within the TME, with particular focus on immune cells, especially macrophages. Survival analysis was conducted using data from the TCGA mesothelioma cohort to assess the clinical relevance of HLA-C expression. We utilized mediated MR analysis to investigate the impact of DNA methylation on HLA-C expression, identifying key mediators such as inflammatory cytokines, immune cell populations, blood cell types, and metabolites that could potentially influence patient prognosis.

resultsHLA-C was predominantly expressed in macrophages, T cells, and NK cells within the TME, and higher expression levels were associated with improved patient survival. MR analysis revealed that DNA methylation regulates HLA-C expression, which in turn impacts mesothelioma outcomes. Mediated MR analysis, encompassing 91 inflammatory cytokines, 731 immune cell populations, 91 blood cell types, and 1400 metabolites, highlighted several critical mediators of HLA-C's effect on prognosis, including IL-10, CD33 expression on CD33dim HLA DR- myeloid cells, the reticulocyte perturbation response, and the ADP-to-citrate ratio. Gene set enrichment analysis (GSEA) showed significant enrichment of immune-related and inflammatory pathways in patients with high HLA-C expression.

conclusionHLA-C, regulated by DNA methylation, plays a central role in mesothelioma prognosis by modulating immune responses, inflammatory cytokines, blood cell populations, and metabolic processes within the TME. Our findings suggest that HLA-C could serve as both a prognostic biomarker and a potential therapeutic target for mesothelioma, offering new insights into the molecular mechanisms driving this aggressive cancer.

Indexed as

DNA MethylationMesotheliomaMesothelioma, MalignantBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisQuantitative Trait LociTumor MicroenvironmentBiomarkers, TumorDNA methylationHLA-CMendelian randomizationMesotheliomaTumor microenvironment

Identifiers

PMID40131544
PMCPMC11937463

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.