Evidence map›Paper›PMID 41927749›Full record

ArticleScientific reports2026

Elucidating the potential mechanism of short-chain chlorinated paraffins in breast cancer via computational prediction integrating network toxicology and molecular docking.

Shanwen Si, Junhong Liu, Ziwei Li, Peng Wang, Yamei Ma

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Shanwen Si *Department of Clinical Nutrition, The Fifth Affiliated Hospital of Anhui Medical University, Fuyang, 236000, Anhui, China.
Junhong Liu *Department of Gastroenterology, The Fifth Affiliated Hospital of Anhui Medical University, Fuyang, 236000, Anhui, China.
Ziwei LiDepartment of Clinical Nutrition, The Fifth Affiliated Hospital of Anhui Medical University, Fuyang, 236000, Anhui, China.
Peng WangDepartment of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, China. 2019076195@qq.com.
Yamei MaDepartment of Electrocardiography and Cardiac Function, The Fifth Affiliated Hospital of Anhui Medical University, Fuyang, 236000, Anhui, China. mayamei0702@163.com.

Funding

Scientific Research Fund of Anhui Provincial Education Department 2024AH050763
6 · The paper itself

Abstract

Short-chain chlorinated paraffins (SCCPs) are industrial chemicals widely used as plasticizers and flame retardants. Due to their environmental persistence and potential toxicity, understanding their health risks is crucial. The present work aimed to explore the potential link between SCCPs and tumorigenesis by examining the interactions between key molecular pathways through a network toxicological approach. Following the acquisition of the SCCPs structure from the PubChem database, ProTox-II, and ADMETlab2.0 were employed to evaluate the toxicity of SCCPs. Thereafter, network toxicology, molecular docking technology, and molecular dynamics simulation were conducted to analyze the interactions between SCCPs and breast cancer-related proteins. This study investigated the expression levels of screened key genes in breast cancer tissues relative to non-carcinoma samples using databases including TCGA and identified the protein targets in breast cancer associated with SCCPs. The study identified 140 SCCPs-related breast cancer targets. PPI network analysis revealed 8 key targets, including PTGS2 and MMP9. The findings uncovered significant GO terms, comprising 647 biological processes, 24 cellular components, and 63 molecular functions ms, which were predominantly associated with oxidative stress, cellular response to peptide, and endopeptidase activity. KEGG analysis indicated a significant enrichment in the TNF, HIF-1, sphingolipid, and estrogen pathways. Molecular docking and molecular dynamics simulation results showed strong binding interactions between PTGS2, MMP9, and SCCPs. Subsequently, TCGA-breast cancer data-based expression profiling revealed that these genes exhibited significant upregulation or downregulation in breast cancer tissue compared to their non-carcinoma counterparts. These results confirmed their importance in tumor biology. These proteins exert essential effects in regulating breast cancer pathology. This research indicates that SCCPs exposure probably affects the pathogenesis of breast cancer development by interacting with key proteins and relevant pathways. This study utilizes network toxicology, protein interactions analysis, molecular docking, and molecular dynamics simulations to highlight the possible risks associated with SCCPs exposure. These findings contribute to the understanding, prevention of related diseases.

Indexed as

Breast NeoplasmsHydrocarbons, ChlorinatedMolecular Docking SimulationParaffinComputational BiologyCyclooxygenase 2FemaleGene Expression Regulation, NeoplasticHumansMatrix Metalloproteinase 9Molecular Dynamics SimulationProtein Interaction MapsCyclooxygenase 2Hydrocarbons, ChlorinatedMatrix Metalloproteinase 9MMP9 protein, humanParaffinPTGS2 protein, humanBreast cancerMolecular dockingNetwork toxicologyShort-chain chlorinated paraffinsTCGA

Identifiers

PMID41927749
PMCPMC13195138

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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.