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综合分析揭示了将防腐剂与前列腺癌风险联系起来的分子机制

Xinyao Zhu¹, Yuqi Li¹, Zhiyu Liu¹

¹Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, China.

Discover oncology

|February 1, 2026

概括

这项研究使用计算分析来识别8个关键基因,这些基因将常见的防腐剂,如 parabens 与前列腺癌 (PCa) 联系起来. 这些发现表明了潜在的预后标志物,并为更安全的防腐剂使用指南提供了信息.

科学领域:

在瘤学瘤学.
计算生物学计算生物学
毒理学毒理学毒理学

背景情况:

防腐剂,包括类,在消费品中很常见,可能会影响前列腺癌 (PCa) 的发展.
了解这些潜在联系对于公共卫生和风险评估至关重要.

研究的目的:

以计算方式识别与PCa和防腐剂暴露相关的基因.
探索与防腐剂相关的PCa的潜在分子机制和预后标志物.

主要方法:

利用数据库选 (瑞士目标预测,STITCH,基因卡) 来识别防腐剂PCa相关的基因.
进行基因本体学 (GO) 和KEGG通路分析,使用STRING和Cytoscape构建基因网络.
开发了一个使用机器学习和考克斯回归的预后模型,通过分子对接和人类蛋白质图谱 (HPA) 数据验证了发现.

主要成果:

确定了135个与保鲜剂PCa相关的基因,这些基因参与了亡,氧化应激和致癌途径.
一个机器学习模型实现了0.709的C指数,确定了8个关键基因 (AR,BCL2L1,CASP3,CDK1,HDAC6,MMP2,PIK3CA,XIAP) 作为独立的预后因素.
分子对接证实了对和8个关键基因之间的结合亲和力,在PCa组织中观察到显著的表达差异.

结论:

确定了8个关键基因,可能调解着对和PCa之间的关联,为更安全的防腐剂指南提供理论支持.
这些in silico发现突出了PCa的潜在预后标志物.
需要进一步的体外和体内研究来验证这些分子机制,并确认 parabens 和 PCa 之间的联系.

关键词:

机器学习机器学习分子对接是分子对接.网络毒理学网络毒理学防腐剂防腐剂是一种防腐剂.前列腺癌是什么意思前列腺癌是什么意思

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