Evidence map›Paper›PMID 41851254›Full record

ArticleScientific reports2026

Network toxicology and bioinformatic investigation of the association between Bisphenol A and endometrial cancer.

Yihan Yang, Xuesong Zhang, Meng Xue, Xujin Wu, Mingyue Kong, Tianjiao Li, Ziqi Dai, Yue Xu, Xin Chen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yihan YangCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Xuesong ZhangThe Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China.
Meng XueCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Xujin WuCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Mingyue KongCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Tianjiao LiCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Ziqi DaiCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Yue XuCollege of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun, China.
Xin ChenThe Affiliated Hospital of Changchun University of Chinese Medicine, Changchun, China. renxdchenx@163.com.

Funding

the Natural Science Foundation of Jilin Province, China YDZJ202401150ZYTS
6 · The paper itself

Abstract

The role of Bisphenol A (BPA) in endometrial cancer (EC) remains uncertain. In this study, we integrated toxicological prediction, network toxicology, gene expression profiling, survival analysis, and molecular docking to explore potential BPA-associated molecular features in EC. Toxicological predictions from ADMETLAB 3.0 and ProTox-3 suggested a potential affinity of BPA for estrogen receptor α (ERα), along with possible involvement in oxidative stress and mitochondrial dysfunction. Integrative database analysis identified 129 putative BPA–EC–related genes, and GO/KEGG enrichment analyses indicated enrichment in angiogenesis-related processes and dysregulation of EGFR, MAPK, and FoxO signaling pathways. Analysis of TCGA-UCEC data identified 48 differentially expressed genes, among which five genes (ESR1, NOTCH1, GABARAP, B4GALT1, and PAN3) showed significant associations with overall survival in univariate Cox regression analyses. Kaplan–Meier analysis indicated that higher expression of GABARAP and NOTCH1 was associated with poorer survival, whereas higher expression of ESR1 and B4GALT1 was associated with more favorable outcomes. External validation using the GEO dataset GSE17025 supported differential expression patterns and prognostic relevance for ESR1, PAN3, B4GALT1, and NOTCH1. Molecular docking analyses indicated theoretical structural interaction feasibility between BPA and several key proteins, based on in silico simulations. Collectively, these findings provide bioinformatic and toxicogenomic evidence suggesting potential associations between BPA exposure and EC-related molecular pathways. This study is hypothesis-generating and may help prioritize candidate genes and pathways for future experimental validation and mechanistic investigation.

Indexed as

Benzhydryl CompoundsComputational BiologyEndometrial NeoplasmsPhenolsBisphenol A CompoundsEstrogen Receptor alphaFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMolecular Docking SimulationSignal TransductionBenzhydryl Compoundsbisphenol ABisphenol A CompoundsEstrogen Receptor alphaPhenolsBisphenol AEndometrial cancerMolecular dockingNetwork toxicologyTCGAToxicity prediction

Identifiers

PMID41851254
PMCPMC13133393

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LicenceCC BY-NC-ND
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Registered trials

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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.