Evidence map›Paper›PMID 41415082›Full record

ArticleAmerican journal of translational research2025

MEGF8-driven metabolic reprogramming and immune evasion define a high-risk subtype of endometriosis-associated ovarian cancer.

Bo Zheng, Yu Xia, Yuxuan Feng, Yanqiu Zhang, Haoyue Hu, Bing Jiang, Meng Liu, Nianchao Zhou, Tiantian Wu, Guannan Feng and 3 more

Abstract read
In one paragraph

Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Bo ZhengState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215002, Jiangsu, China.
Yu XiaState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215002, Jiangsu, China.
Yuxuan FengState Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, School of Basic Medical Sciences, Nanjing Medical University Nanjing 211166, Jiangsu, China.
Yanqiu ZhangInstitute of Clinical Pharmacology, Anhui Medical University, Key Laboratory of Anti-inflammatory and Immune Medicine, Ministry of Education, Anhui Collaborative Innovation Center of Anti-inflammatory and Immune Medicine Hefei 230032, Anhui, China.
Haoyue HuHuman Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University Wuxi 214062, Jiangsu, China.
Bing JiangHuman Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University Wuxi 214062, Jiangsu, China.
Meng LiuDepartment of Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215002, Jiangsu, China.
Nianchao ZhouHuman Reproductive and Genetic Center, Affiliated Hospital of Jiangnan University Wuxi 214062, Jiangsu, China.
Tiantian WuState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215002, Jiangsu, China.
Guannan FengDepartment of Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215002, Jiangsu, China.
Chao HuangState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215002, Jiangsu, China.
Qingxia MengState Key Laboratory of Reproductive Medicine and Offspring Health, Center for Reproduction and Genetics, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University Suzhou 215002, Jiangsu, China.
Xiaoyan HuangState Key Laboratory of Reproductive Medicine and Offspring Health, Department of Histology and Embryology, School of Basic Medical Sciences, Nanjing Medical University Nanjing 211166, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEndometriosis increases ovarian cancer (OC) risk through genetic mutations, chronic inflammation, and hormonal dysregulation, yet the underlying molecular pathways remain underexplored. This study aims to identify endometriosis-associated prognostic biomarkers in OC.

methodsTranscriptomic and clinical data from TCGA-OC and GSE53963 were integrated for comprehensive analysis. Prognostic models were constructed using LASSO and Cox regression. Tumor microenvironment (TME) characteristics, immune checkpoints, and drug sensitivity were evaluated with ESTIMATE, CIBERSORT, TIDE, and drug sensitivity profiling. Single-cell RNA sequencing (scRNA-seq, GSE184880) was employed to explore immune and gene expression patterns. MEGF8 function was validated through

resultsConsensus clustering identified three OC molecular subtypes (A, B, and C), with subtype B showing significantly better overall survival (P = 0.001). Subtype A exhibited a "dual malignant phenotype", characterized by enhanced cell adhesion, epithelial-mesenchymal transition (EMT), TGF-β activation, and an immunosuppressive TME. An 8-gene prognostic model, including MEGF8, effectively stratified patients into high- and low-risk groups, with high-risk patients showing poorer survival, immune evasion, and elevated stromal scores. Drug sensitivity analysis indicated that the low-risk group was more responsive to PI3K/AKT/mTOR and VEGFR inhibitors. MEGF8 was identified as a key regulator in cancer stem cells, promoting tumor progression through metabolic reprogramming and extracellular matrix remodeling. Functionally, MEGF8 knockdown suppressed OC cell proliferation and migration.

conclusionThis study delineated the molecular-immune landscape of OC, established an 8-gene prognostic model, and identified MEGF8 as a potential therapeutic target. The model predicts responses to immunotherapy and targeted therapies, supporting personalized OC management.

Indexed as

biological behaviorEndometriosisMEGF8ovarian cancerprognostic modelsingle-cell RNA sequencing

Identifiers

PMID41415082
PMCPMC12709306

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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.