Evidence map›Paper›PMID 42066461›Full record

ArticleTranslational oncology2026

Multi-scale evidence chain: Linking environmental BPA exposure to ovarian cancer through integrated omics and experimental models.

Yongjin Luo, Shipan Mo, Pengxia Song, Kaiyi Meng, Jie Zhou, Yiting Zou

Abstract read
In one paragraph

Article in Translational oncology, 2026. 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

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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. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Yongjin LuoDepartment of Gynecology, Nanning Second People's Hospital, Nanning, 530000, China.
Shipan MoDepartment of Gynecology, Pingshan District People's Hospital of Shenzhen, Shenzhen 518100, China.
Pengxia SongMedical School, Quzhou College of Technology, Quzhou 324000, China.
Kaiyi MengDepartment of Gynecology, Nanning Second People's Hospital, Nanning, 530000, China.
Jie ZhouDuke Obstetrics & Gynecology, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: Jie.zhou@Duke.edu.
Yiting ZouDepartment of Gynecology, Guangxi Academy of Medical Sciences, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, 530021, China. Electronic address: lz20130520@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian cancer (OC) is a leading cause of female cancer mortality. Beyond genetic and reproductive risk factors, emerging evidence suggests bisphenol A (BPA), a widespread endocrine-disrupting chemical, may contribute to ovarian carcinogenesis, though underlying mechanisms remain unclear.

methodsWe employed a multi-dimensional approach combining: (1) cross-sectional NHANES analysis (66 OC cases, 291 matched controls), (2) two-sample Mendelian randomization using GWAS data, (3) integrative bioinformatics (target prediction, nine GEO datasets, WGCNA, machine learning), (4) molecular docking/dynamics simulations, and (5) functional assays in SKOV3 cells.

resultsUrinary BPA levels were significantly elevated in OC patients (p < 0.05).Mendelian randomization suggested a positive association consistent with a potential causal effect (OR=1.25, p = 0.029). Five hub genes (LCN2, LIPA, NR3C1, NR3C2, PGR) were identified across algorithms, showing stable BPA binding in simulations. Single-cell analysis revealed enriched signatures in malignant epithelial cells (p = 0.009). Functional assays confirmed BPA promoted OC proliferation, migration, and invasion (p < 0.05).

conclusionThis integrated analysis provides multi-omic evidence supporting an association between BPA exposure and OC pathogenesis, with MR findings suggesting a potential causal relationship that requires independent replication, identifying five hub genes as potential biomarkers and therapeutic targets.

Indexed as

Bisphenol ACell functional assaysEnvironmental carcinogenesisMulti-omicsOvarian cancer

Identifiers

PMID42066461
PMCPMC13141994

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