Evidence map›Paper›PMID 41108004›Full record

ArticleJournal of ovarian research2025

Investigating the potential causal link between BPA and ovarian carcinogenesis: a network toxicology and mendelian randomization study on the CTRC/PRDX1/SKP1 pathway.

Zunlin Shi, Zhi Li, Fan Yang

Abstract read
In one paragraph

Article in Journal of ovarian research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

3 authors.

Zunlin ShiCollege of Electronics and Information Engineering, University of Sichuan, Chengdu, 610065, Sichuan province, China.
Zhi LiCollege of Electronics and Information Engineering, University of Sichuan, Chengdu, 610065, Sichuan province, China.
Fan YangDepartment of Gynecology and Obstetrics, West China Second Hospital, University of Sichuan, Chengdu, 610041, Sichuan province, China. sharry48@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study elucidates the association between Bisphenol A (BPA) exposure and ovarian cancer development, along with its underlying mechanisms. We employed a 'Toxicological Prediction-Causal Inference-Structural Validation' framework, integrating network toxicology and Mendelian Randomization (MR) analysis, enabling insights into BPA's carcinogenic effects. This approach used network toxicology to predict molecular targets of BPA in the ovary, MR to establish genetic evidence for the causal link, and molecular docking to validate structural basis of interaction with key pathways. Our findings indicate BPA may influence cellular processes, including homeostasis, stress, and cycle regulation, while activating PI3K/Akt signaling. Enrichment analysis revealed pathways associated with amoebic infection, suggesting interactions between infection status and chemical exposure. With evidence that emetine enhances cancer cell sensitivity, we hypothesize BPA may activate inflammation pathways shared with amoebic infection, particularly in predisposed individuals. Consequently, BPA might induce inflammatory microenvironment, thereby influencing progression and treatment response. This study identifies CTRC/PRDX1/SKP1 as crucial and proposes hypothesis of synergistic effects between exposure and infection history. These findings underscore incorporating environmental exposure into risk assessment, offering perspectives on carcinogenesis and avenues for prevention.

Indexed as

Benzhydryl CompoundsCarcinogenesisOvarian NeoplasmsPhenolsBisphenol A CompoundsFemaleHumansMendelian Randomization AnalysisSignal TransductionBenzhydryl Compoundsbisphenol ABisphenol A CompoundsPhenolsAmoebic infectionBisphenol a (BPA)CarcinogenesisCTRC/PRDX1/SKP1 pathwayEnvironmental exposureMechanismMendelian randomization (MR)Network toxicologyOvarian cancerRisk assessment

Identifiers

PMID41108004
PMCPMC12532418

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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.