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

作者：Chenyu Liang, Wei‐Cheng Tian, Hengxi Zeng, Ziyang Xia, Zijie Luo, Yue Zhuo, Min Pan, Kaifu Wu, Siyu Xiong, Xuejing Lin, Xinchun Li, Jiaxi Yu · 发表于：Journal of Applied Toxicology · 年份：2025 · DOI：10.1002/jat.4826 · 被引用次数：4 · 研究领域：Effects and risks of endocrine disrupting chemicals、Gene Regulatory Network Analysis、Health, Environment, Cognitive Aging

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, ...