Evidence map›Paper›PMID 40512387›Full record

ArticleDiscover oncology2025

A network toxicology approach to decipher paraben-induced molecular dysregulation in breast cancer pathogenesis.

Wen Zhang, Rui Xiang, Wang Gu, Qiang Zhang, Lei Liu, Chenglin Wang, Muhu Chen, Yingchun Hu, Guihong Chen

Abstract read
In one paragraph

Article in Discover oncology, 2025. 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.

Wen ZhangDepartment of Endocrinology and Metabolism, The Traditional Chinese Medicine Hospital of Luzhou City, Luzhou, Sichuan, China.
Rui XiangDepartment of Emergency Medicine, Wangcang County People's Hospital, Guangyuan, Sichuan, China.
Wang GuDepartment of Emergency Medicine, Wangcang County People's Hospital, Guangyuan, Sichuan, China.
Qiang ZhangDepartment of Emergency Medicine, Wangcang County People's Hospital, Guangyuan, Sichuan, China.
Lei LiuDepartment of Emergency Medicine, Wangcang County People's Hospital, Guangyuan, Sichuan, China.
Chenglin WangDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Muhu ChenDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Yingchun HuDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China.
Guihong ChenDepartment of Emergency Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China. chenguihong1573@swmu.edu.cn.

Funding

IIT Project of Health Commission of Sichuan Province 23LCYJ001
6 · The paper itself

Abstract

Paraben, extensively utilized as preservatives in cosmetics, pharmaceuticals, industrial products, and food due to its antimicrobial properties, represent pervasive environmental contaminants capable of bioaccumulation through dietary, dermal, and respiratory exposure, potentially leading to diseases including endocrine disruption, skin allergies, and breast cancer. As the endocrine-disrupting chemical (EDC) with estrogenic activity, paraben bind estrogen receptors (ERs), potentially disrupting hormonal homeostasis and increasing breast cancer risk. However, the molecular mechanisms linking paraben to breast carcinogenesis remain poorly defined. This study integrates network toxicology and molecular docking to systematically elucidate paraben-induced dysregulation in breast cancer pathogenesis. Paraben structures (2D/3D, SMILES) were retrieved from PubChem. Toxicological profiling employed ProTox and ADMETlab. Paraben-protein interactions were predicted via STITCH and SwissTargetPrediction, while breast cancer-associated targets were curated from GeneCards, OMIM, and TTD databases. The action targets of paraben were intersected with the breast cancer-related targets. Subsequently, the intersection targets were used to construct the compound regulatory network and perform PPI, GO, and KEGG analyses. The core targets of breast cancer caused by paraben were screened through Cytoscape. Finally, the relationship between the core targets and immune cell infiltration in breast cancer was explored, and molecular docking of paraben and the core targets was carried out. A total of 35 action targets of paraben were obtained from STITCH and SwissTargetPrediction. Meanwhile, 3,413 breast cancer-related targets were retrieved from GeneCards, OMIM, and TTD. After taking the intersection of these two sets of targets, 13 relevant targets were identified. PPI analysis revealed that proteins such as ESR1, ESR2, SERPINE1, and CA2 were located at the center of the network diagram and had close connections with other target proteins. Enrichment analysis demonstrated the molecular functions, biological processes involved, and related pathways of the intersection targets. Three core targets, namely ESR1, ESR2, and SERPINE1, were screened out using Cytoscape. Immune infiltration analysis indicated that in breast cancer, the expression of ESR1 was negatively correlated with the infiltration levels of CD8 + T cells and macrophages, while the expressions of ESR2 and SERPINE1 were positively correlated with the infiltration levels of CD8 + T cells and macrophages. Molecular docking showed that paraben had strong binding activities with ESR1, ESR2, and SERPINE1. Paraben exhibits estrogenic activity and may contribute to breast cancer development by targeting core molecules ESR1, ESR2, and SERPINE1, thereby regulating associated pathways that induce systemic immunosuppression or impede the recruitment of inflammatory responses.

Indexed as

Breast cancerEndocrine systemEstrogenNetwork toxicologyParaben

Identifiers

PMID40512387
PMCPMC12165941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.