Evidence map›Paper›PMID 42585599›Full record

ArticleJournal of biochemical and molecular toxicology2026

Elucidating the Mechanisms of Trichloroethylene-Induced Kidney Cancer: Network Toxicology, Molecular Docking, and In Vitro Validation.

Weijie Ma, Hui Cai

Abstract read
In one paragraph

Article in Journal of biochemical and molecular toxicology, 2026. 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

2 authors.

Weijie MaOncology Hematology Department, Fengdu People's Hospital, Chongqing, China.
Hui CaiOncology Hematology Department, Fengdu People's Hospital, Chongqing, China.ORCID https://orcid.org/0009-0000-9737-7311

Funding

Chongqing Municipal Health Commission 2023MSXM173
6 · The paper itself

Abstract

Trichloroethylene (TCE), a pervasive environmental contaminant, is epidemiologically linked to kidney, but the precise molecular mechanisms underlying this association remain insufficiently elucidated. To decipher the toxicological network, an integrated approach combining network toxicology, molecular docking, and in vitro validation was employed, resulting in the identification of TP53, ACTB, and CASP3 as pivotal hubs from 599 intersecting targets. Functional enrichment analyses implicated these targets in the dysregulation of cellular proliferation and apoptosis, predominantly mediated by the PI3K-Akt signaling cascade, while clinical correlation analysis revealed that their significant overexpression in tumor tissues was associated with advanced pathological staging, unfavorable prognosis, and heightened infiltration of immunosuppressive cell populations, including Tr1 cells, macrophages, and exhausted T cells. Furthermore, potential binding interactions between TCE and these proteins were predicted by molecular docking and subsequently validated by in vitro experiments, wherein TCE exposure dose-dependently upregulated TP53 and ACTB expression while concomitantly reducing cleaved CASP3 levels. Collectively, this study establishes a mechanistic framework demonstrating that TCE promotes kidney carcinogenesis by directly dysregulating TP53, ACTB, and CASP3, offering critical insights into environ-mental oncogenesis and potential therapeutic interventions.

Indexed as

Kidney NeoplasmsMolecular Docking SimulationTrichloroethyleneCaspase 3HumansTumor Suppressor Protein p53Caspase 3TrichloroethyleneTumor Suppressor Protein p53in vitro validationkidney cancermolecular dockingnetwork toxicologytrichloroethylene

Identifiers

PMID42585599
PMCPMC13466260

What OpenQuestion holds

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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.