Evidence map›Paper›PMID 40610364›Full record

ArticleEpigenetics2025

Mendelian randomization analysis of CpG methylation and immune phenotypes in epithelial ovarian cancer outcomes.

Jiawei Li, Wanjun Luo, Daohong Nie, Zidan Lin, Chenfei Zhou

Abstract read
In one paragraph

Article in Epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

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0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Jiawei LiDepartment of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.ORCID 0009-0007-1222-3905
Wanjun LuoDepartment of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Daohong NieDepartment of Surgery, Fifth People's Hospital, Jingzhou, Hubei, P. R. China.
Zidan LinDepartment of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Chenfei ZhouDepartment of Gynecology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.ORCID 0009-0006-5587-9755

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is a heterogeneous malignancy with distinct histological subtypes, and DNA methylation has emerged as a promising biomarker for early detection. However, the role of methylation patterns in EOC heterogeneity and prognosis remains unclear. In this study, genome-wide association studies (GWAS) data from the Ovarian Cancer Association Consortium (OCAC) and Methylation quantitative trait loci (mQTL) data from the Genetics of DNA Methylation Consortium (GoDMC) were analysed using two-sample Mendelian randomization (MR). We investigated the genetic effects of CpG methylation on the risk and prognosis of five major EOC histotypes. To further explore the mechanisms by which DNA methylation affects EOC outcomes, we performed mediation analysis to evaluate the role of immunophenotypes. Our analysis identified 94 CpG sites associated with high-grade serous ovarian cancer (HGSOC), 9 of which were linked to prognosis. Additional significant associations were found for clear cell, low-grade serous, endometrioid, and mucinous subtypes. Hypomethylation at specific CpG sites was linked to increased EOC risk and shorter survival. Mediation analysis revealed significant interactions between CpG methylation and immunophenotypes, suggesting that immune modulation mediates the effects of DNA methylation on EOC outcomes. These results provide novel insights into the importance of epigenetic and immune-related factors in EOC pathogenesis.

Indexed as

Carcinoma, Ovarian EpithelialCpG IslandsDNA MethylationOvarian NeoplasmsBiomarkers, TumorFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisPhenotypePrognosisQuantitative Trait LociBiomarkers, TumorCpG sitesDNA methylationEOCimmunophenotypeMendelian randomization

Identifiers

PMID40610364
PMCPMC12233829

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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.