Evidence map›Paper›PMID 41395286›Full record

ArticleAmerican journal of cancer research2025

MARVELD1 as a tumor stem cell marker and therapeutic target in visceral obesity-associated ovarian cancer.

Xianping Zhou, Fei Wu, Jiaqi Xu, Longwei Qiao, Yayun Zhang, Meng Liu, Guannan Feng, Shunyu Hou, Cong Shen, Yuting Liang

Abstract read
In one paragraph

Article in American journal of cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xianping ZhouDepartment of Blood Transfusion, The Affiliated Bozhou Hospital of Anhui Medical University Bozhou 236800, Anhui, China.
Fei WuDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215002, Jiangsu, China.
Jiaqi XuDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215002, Jiangsu, China.
Longwei QiaoCenter for Reproduction and Genetics, School of Gusu, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University Suzhou 215000, Jiangsu, China.
Yayun ZhangDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215002, Jiangsu, China.
Meng LiuDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215002, Jiangsu, China.
Guannan FengDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215002, Jiangsu, China.
Shunyu HouDepartment of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Suzhou Municipal Hospital Suzhou 215002, Jiangsu, China.
Cong ShenCenter for Reproduction and Genetics, School of Gusu, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University Suzhou 215000, Jiangsu, China.
Yuting LiangCenter for Clinical Laboratory, The First Affiliated Hospital of Soochow University Suzhou 215000, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVisceral obesity-related genes (VORGs) have been implicated in cancer progression, but their biological and clinical relevance in ovarian cancer (OC) remains uncertain.

methodsPrognostic modeling of VORGs was carried out using the The Cancer Genome Atlas (TCGA) and GSE53963 datasets. This model was further investigated in its association with tumor immunity, immune checkpoint inhibitor (ICI) response, and chemotherapy outcomes. Additionally, single-cell data were analyzed to explore gene expression within the tumor microenvironment of this model, specifically identifying high expression of the key gene MARVELD1 in tumor stem cells. The functionality of MARVELD1 was validated experimentally through Cell Counting Kit-8 (CCK-8), transwell, and colony formation assays.

resultsOC patients were stratified into four molecular subtypes based on overall survival (OS)-associated VORG expression profiles. Differentially expressed genes (DEGs) between subtypes with prognostic relevance were identified and subsequently analyzed using least absolute shrinkage and selection operator (LASSO) regression and stepwise Cox modeling, resulting in a robust four-gene prognostic model comprising CXCL9, IGF2, FCGBP, and MARVELD1. This model effectively classified patients into high- and low-risk groups, with the high-risk group demonstrating significantly poorer outcomes (P < 0.001). In addition, risk scores showed strong correlations with immune checkpoint gene expression and predicted chemotherapy sensitivity, underscoring their utility in forecasting therapeutic responses. Single-cell transcriptomic analysis revealed heterogeneous expression of model genes across subpopulations, with MARVELD1 prominently enriched in tumor stem cells. MARVELD1 was found to modulate early cellular processes through pathways such as reactive oxygen species. Finally, in vitro experiments confirmed that MARVELD1 knockdown significantly inhibited OC cell proliferation, invasion, and colony formation, further validating its oncogenic role.

conclusionA VORG-based prognostic model was established that correlates with OC prognosis, tumor immune microenvironment, and treatment sensitivity. These findings suggest that MARVELD1 and related pathways may serve as potential targets to improve prognostic stratification and guide therapy in OC.

Indexed as

molecular subtypesovarian cancerprediction modeltumor microenvironmentVisceral obesity

Identifiers

PMID41395286
PMCPMC12696546

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