Evidence map›Paper›PMID 42100321›Full record

ArticleFrontiers in pharmacology2026

Assessing the toxicological effects of exposure to polyethylene terephthalate on hepatocellular carcinoma: insights from network toxicology, molecular docking, molecular dynamics, and experimental validation.

Peng Chen, Xin Liu, Dongmei Yuan, Lan Zheng, Yumin Du, Dacai Gong, Xing Wei, Dan Wang, Ge Xu, Bin Ge

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Peng ChenDepartment of Clinical Laboratory, Pidu District People's Hospital, The 3RD Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Xin LiuDepartment of Clinical Laboratory, 363 Hospital, Chengdu, Sichuan, China.
Dongmei YuanDepartment of Pathogenic Biology, School of Basic Medical Sciences, Chengdu Medical College, Chengdu, China.
Lan ZhengDepartment of Clinical Laboratory, Pidu District People's Hospital, The 3RD Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Yumin DuDepartment of Clinical Laboratory, Pidu District People's Hospital, The 3RD Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Dacai GongDepartment of Clinical Laboratory, Pidu District People's Hospital, The 3RD Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Xing WeiDepartment of Clinical Laboratory, Pidu District People's Hospital, The 3RD Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Dan WangDepartment of Clinical Laboratory, Pidu District People's Hospital, The 3RD Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Ge XuDepartment of Clinical Laboratory, Pidu District People's Hospital, The 3RD Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.
Bin GeDepartment of Clinical Laboratory, Pidu District People's Hospital, The 3RD Affiliated Hospital of Chengdu Medical College, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Polyethylene terephthalate (PET), one of the most widely used synthetic polymers globally, has emerged as a potential environmental risk factor for human health. However, the molecular mechanisms linking PET exposure to hepatocellular carcinoma (HCC) remain poorly understood. Methods: We adopted an integrated systems biology framework that combined computational target prediction (using ChEMBL, PharmMapper, and SwissTargetPrediction), transcriptomic profiling, and machine learning to elucidate key molecular targets and pathways involved in PET-associated hepatocarcinogenesis. Immune cell infiltration was assessed via CIBERSORT. Molecular docking followed by 100 ns molecular dynamics simulations were employed to verify protein-ligand binding interactions. The expression profiles and prognostic relevance of core genes were evaluated using TCGA-LIHC datasets. Results: We identified 235 potential PET-interacting proteins, with 40 genes overlapping with HCC-associated genes. Integrated analysis consistently identified PLK1, CCNA2, and CDC25C as core mediators of PET-associated hepatocarcinogenesis. Molecular docking revealed potential binding interactions, with PLK1 showing the highest affinity (--8.0 kcal/mol). Molecular dynamics simulations confirmed sustained structural stability of these PET-protein complexes over 100 ns. Clinical data analysis demonstrated progressive upregulation of these genes with advancing tumor stage and grade, with high expression predicting poor overall survival. PET treatment of Hep3B and HepG2 cells significantly upregulated PLK1, CCNA2, and CDC25C expression at both mRNA and protein levels, enhanced colony formation capacity, increased EdU-positive cells, and promoted G2/M phase progression. Western blotting further revealed upregulation of the proliferation marker PCNA. Functional enrichment analysis revealed involvement of cell cycle regulation, metabolic reprogramming, and immune microenvironment remodeling. CIBERSORT analysis identified significant correlations between core gene expression and infiltration of neutrophils, monocytes, and macrophages, alongside negative associations with lymphoid populations. Conclusion: PET exposure may promote hepatocarcinogenesis through multi-layered mechanisms involving cell cycle dysregulation (primarily via PLK1, CCNA2, and CDC25C), metabolic reprogramming, and immune microenvironment remodeling. These findings provide mechanistic insights into plastic-associated cancer risk and identify potential biomarkers and therapeutic targets for populations with PET exposure.

Indexed as

CCNA2Cdc25Chepatocellular carcinomamolecular dockingplk1polyethylene terephthalate

Identifiers

PMID42100321
PMCPMC13143728

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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.