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Updated: Sep 10, 2025

Pre-clinical Orthotopic Murine Model of Human Prostate Cancer
Published on: August 29, 2016
The Potential Mechanisms of Ochratoxin A in Prostate Cancer Development: An Integrated Study Combining Network
Hong Cai1, Dandan Shen1, Xiangjun Hu1
1College of Clinical Medicine, Jiangxi University of Chinese Medicine, Wanli Campus, Nanchang 330004, China.
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.
Insights
Ochratoxin A (OTA), a food contaminant, may contribute to prostate cancer. This study used computational methods to identify key molecular targets and pathways involved in OTA-induced cancer progression.
Area of Science:
- Toxicology
- Oncology
- Computational Biology
Background:
- Ochratoxin A (OTA) is a common food contaminant with suspected links to prostate cancer.
- The exact mechanisms by which OTA influences prostate cancer development are not fully understood.
Purpose of the Study:
- To elucidate the role of Ochratoxin A in prostate cancer pathogenesis.
- To identify key molecular targets and pathways affected by OTA exposure.
Main Methods:
- Integrated network toxicology, machine learning, and molecular docking.
- Identified 364 potential OTA targets in prostate cancer.
- Utilized machine learning to prioritize five critical molecular targets: ESR1, TP53, TNF, INS, and EGFR.
Main Results:
- OTA interacts with a significant number of prostate cancer-related targets.
- Five key targets (ESR1, TP53, TNF, INS, EGFR) were prioritized by machine learning.
- Functional enrichment analysis suggested OTA disrupts endocrine function, activates oncogenic pathways, alters metabolism, and modulates the tumor microenvironment.
Conclusions:
- OTA may promote prostate cancer progression through multiple molecular mechanisms.
- The identified key targets and pathways provide a basis for understanding OTA's carcinogenic potential.
- This study offers insights into the complex relationship between dietary contaminants and cancer development.
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