Evidence mapPaperPMID 40864064Full record

ArticleToxins2025

The Potential Mechanisms of Ochratoxin A in Prostate Cancer Development: An Integrated Study Combining Network Toxicology, Machine Learning, and Molecular Docking.

Hong Cai, Dandan Shen, Xiangjun Hu, Hongwei Yin, Zhangren Yan

Abstract read
In one paragraph

Article in Toxins, 2025. 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

5 authors.

Hong CaiCollege of Clinical Medicine, Jiangxi University of Chinese Medicine, Wanli Campus, Nanchang 330004, China.ORCID 0009-0002-7486-3178
Dandan ShenCollege of Clinical Medicine, Jiangxi University of Chinese Medicine, Wanli Campus, Nanchang 330004, China.
Xiangjun HuCollege of Clinical Medicine, Jiangxi University of Chinese Medicine, Wanli Campus, Nanchang 330004, China.
Hongwei YinCollege of Clinical Medicine, Jiangxi University of Chinese Medicine, Wanli Campus, Nanchang 330004, China.
Zhangren YanCollege of Clinical Medicine, Jiangxi University of Chinese Medicine, Wanli Campus, Nanchang 330004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ochratoxin A (OTA), a prevalent food contaminant, has been proposed as a potential contributor to the development of prostate cancer, although its precise mechanisms remain unclear. This study employed a comprehensive approach that integrated network toxicology, machine learning, and molecular docking to clarify the role of OTA in prostate cancer. The findings indicated that OTA interacts with 364 targets related to prostate cancer, and machine learning was employed to identify five key molecular targets as priorities (ESR1, TP53, TNF, INS, and EGFR). In conjunction with the results of a functional enrichment analysis, OTA was found to possibly facilitate cancer progression by disrupting endocrine function, activating oncogenic signaling pathways, reprogramming metabolism, and modulating the tumor microenvironment.

Indexed as

Machine LearningOchratoxinsProstatic NeoplasmsHumansMaleMolecular Docking Simulationochratoxin AOchratoxinsenvironmental carcinogenesismachine learningmolecular dockingnetwork toxicologyochratoxin Aprostate cancer

Identifiers

PMID40864064
PMCPMC12389974

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.