Evidence map›Paper›PMID 40491172›Full record

ArticleJournal of applied toxicology : JAT2025

Revealing the Impact of Mono(2-ethylhexyl) Phthalate (MEHP) on Prostate Cancer Based on Network Toxicology and Molecular Docking Approaches.

Chenyu Liang, Weicheng Tian, Hengxi Zeng, Ziyang Xia, Zijie Luo, Yue Zhuo, Minlian Pan, Kangbu Wu, Siyu Xiong, Xuejing Lin and 2 more

Abstract read
In one paragraph

Article in Journal of applied toxicology : JAT, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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

12 authors.

Chenyu LiangThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Weicheng TianThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Hengxi ZengThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.ORCID 0009-0003-2827-3860
Ziyang XiaThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Zijie LuoThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Yue ZhuoThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Minlian PanThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Kangbu WuThe First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Siyu XiongDepartment of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xuejing LinSun Yat-Sen Memorial Hospital of Sun Yat-Sen University, Guangzhou, China.
Xinchun LiDepartment of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Jiaxi YuDepartment of Radiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID 0009-0000-4626-7905

Funding

Foundation of Guangzhou Municipal Science and Technology Bureau 202102010253Guangdong Province Zhong Nanshan Foundation ZNS-XS-ZZ-202409-007
6 · The paper itself

Abstract

Mono(2-ethylhexyl) phthalate (MEHP) is a ubiquitous environmental contaminant and endocrine-disrupting chemical (EDC), identified as a potential carcinogen. Emerging studies have begun to elucidate the impact of MEHP on prostate cancer (PCa), yet its pathogenic effects and the underlying molecular mechanisms remain unclear. This study seeks to explore the molecular basis through which MEHP affects the onset and progression of PCa. Using network toxicology and bioinformatics, we identified MEHP-related pathogenic genes in PCa. An innovative predictive model was developed by employing multiple machine learning ensemble algorithms, and its performance was validated using the area under the receiver operating characteristic (ROC) curve. Furthermore, at the single-cell resolution, the role of key MEHP-associated molecules, including several critical genes, in the oncogenic progression of PCa was identified. Through the construction of an environmental pollutant-key gene-PCa network, we investigated the interactions between environmental pollutants and the key genes VGF, ASPN, FOXS1, APLN, and AMH. Molecular docking studies demonstrated that the APLN, FOXS1, and ASPN genes exhibited favorable binding energies and high affinities for MEHP. The findings of this study provide a theoretical foundation for understanding the pathogenic role of MEHP in PCa and its potential molecular mechanisms. They also promote the application of network toxicology, molecular docking, machine learning, and single-cell analysis in the study of environmental pollutants.

Indexed as

Diethylhexyl PhthalateEndocrine DisruptorsEnvironmental PollutantsProstatic NeoplasmsHumansMachine LearningMaleMolecular Docking SimulationDiethylhexyl PhthalateEndocrine DisruptorsEnvironmental Pollutantsmono-(2-ethylhexyl)phthalatemachine learningmolecular dockingmono(2‐ethylhexyl) phthalatenetwork toxicologyprostate cancersingle‐cell analysis

Identifiers

PMID40491172
PMCPMC12371784

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.