Evidence map›Paper›PMID 42793291›Full record

ArticleCurrent issues in molecular biology2026

Multiscale Transcriptomic and Molecular Modeling Analyses Suggest DCPMU-Associated Epithelial Remodeling and Tumor Microenvironment Perturbation in Prostate Cancer.

Jianhao Lin, Dajun Fang, Li Ding, Deqi Su

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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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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

4 authors.

Jianhao LinKey Laboratory of Special Environment and Health Research in Xinjiang, School of Public Health, Xinjiang Medical University, Urumqi 830017, China.
Dajun FangKey Laboratory of Special Environment and Health Research in Xinjiang, School of Public Health, Xinjiang Medical University, Urumqi 830017, China.
Li DingKey Laboratory of Special Environment and Health Research in Xinjiang, School of Public Health, Xinjiang Medical University, Urumqi 830017, China.
Deqi SuKey Laboratory of Special Environment and Health Research in Xinjiang, School of Public Health, Xinjiang Medical University, Urumqi 830017, China.ORCID 0000-0002-7436-2982

Funding

Xinjiang Medical University YXYJ20230101
6 · The paper itself

Abstract

DCPMU, a major demethylated metabolite of diuron, is an environmentally persistent contaminant with potential endocrine-disrupting and carcinogenic relevance, yet its mechanistic association with prostate cancer remains unclear. This study investigated DCPMU-related mechanisms in prostate cancer by integrating network toxicology, molecular modeling, bulk transcriptomics, single-cell and spatial transcriptomics, and virtual perturbation analysis. Differentially expressed genes from TCGA-PRAD were intersected with DCPMU-associated and prostate cancer-related targets. Functional enrichment, machine learning screening, and external GEO validation identified seven candidate hub genes: APOBEC3G, SCGB1A1, PTGS1, CA12, CES1, FOLH1, and NOS1. Molecular docking showed favorable DCPMU binding to these proteins, and molecular dynamics simulations further supported stable interactions with PTGS1, CA12, CES1, and FOLH1. Single-cell analysis of GSE141445 revealed cell-type-specific expression, with FOLH1 and CA12 enriched in epithelial cells, CES1 in fibroblasts, and PTGS1 in mast cells. Spatial transcriptomics from GSE181294 showed tumor-enriched FOLH1 expression and increased Core4 module activity in malignant regions. Virtual knockout analysis suggested that FOLH1 perturbation was associated with predicted downstream transcriptional changes, with PTGS1 showing marked perturbation responsiveness. Overall, our integrative analyses suggest that DCPMU exposure is associated with epithelial malignancy, inflammatory metabolism, xenobiotic handling, and tumor-microenvironment remodeling, particularly within malignant epithelial niches. These hypothesis-generating findings require experimental validation to establish any causal role in prostate cancer progression.

Indexed as

3-(3,4-Dichlorophenyl)-1-methylureamolecular dockingnetwork toxicologyprostate cancersingle-cell transcriptomicsvirtual disturbance

Identifiers

PMID42793291
PMCPMC13605243

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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.