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

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.

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Publication Details

Journal
Toxins
Published
2025-08-04
DOI
https://doi.org/10.3390/toxins17080388
Citations
1
Primary Topic
Mycotoxins in Agriculture and Food
Type
article
Field-Weighted Citation Impact
1.75
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article

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

Hongwei Yin, Dandan Shen, Zhangren Yan, Xiangjun Hu et al.
1 citations
Toxins
Mycotoxins in Agriculture and Food
1.75
article

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

Hongwei Yin, Dandan Shen, Zhangren Yan, Xiangjun Hu, Hong Cai
article en
1 citations

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.

ToxinsVol. 17(8)
Jiangxi University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 13%
Mycotoxins in Agriculture and Food
1.75
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The Potential Mechanisms of Ochratoxin A in Prostate Cancer Development: An Integrated Study Combining Network Toxicology, Machine Learning, and Molecular Docking — Hongwei Yin, Dandan Shen, et al. · Toxins (2025) | TGRS Research Map | TGRS