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空气污染和前列腺癌:通过网络毒理学和机器学习解开联系

Yuqi Li¹, Tao Zhou¹, Zhiyu Liu¹

¹Department of Urology, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China; Public Center of Experimental Technology, Southwest Medical University, Luzhou, Sichuan 646000, China.

Ecotoxicology and environmental safety

|March 1, 2025

概括

空气污染与前列腺癌 (PCa) 有关. 这项研究确定了参与这种关联的五个关键基因 (HDAC6,CDK1,DNMT1,NOS3,DPP4),为分子机制提供了洞察力.

科学领域:

环境健康环境健康
在瘤学瘤学.
计算生物学计算生物学

背景情况:

越来越多的证据将空气污染暴露与各种非传染性疾病联系在一起.
前列腺癌 (PCa) 是一个重要的全球健康问题,其环境风险因素需要进一步阐明.
了解连接环境暴露PCa的分子通路对于预防和治疗策略至关重要.

研究的目的:

调查常见空气污染物与前列腺癌 (PCa) 之间的联系.
确定调解空气污染物和PCa发展之间的关系的关键基因.
探索潜在的分子机制,并开发PCa风险与空气污染相关的预测模型.

主要方法:

利用多个数据库分析来识别空气污染物和PCa的目标基因.
进行了蛋白质-蛋白质相互作用 (PPI) 分析,基因本体学 (GO) 和基因和基因组 (KEGG) 丰富分析的京都百科全书.
采用机器学习算法,包括随机生存森林 (RSF) 和拉索回归,用于预测模型构建和对外部数据集的验证. 进行了分子对接分析.

主要成果:

确定了48个与7种常见空气污染物和PCa相关的交叉基因.
功能性丰富分析表明,它与细胞亡,致癌和细胞增殖有关.
结合RSF和拉索回归的预测模型确定了五个关键基因 (HDAC6,CDK1,DNMT1,NOS3,DPP4),在四个外部数据集中得到了强大的性能验证. 分子对接证实了相互作用.

结论:

已确定HDAC6,CDK1,DNMT1,NOS3和DPP4是连接空气污染物与PCa的通路中的关键基因.
这项研究为空气污染引起的PCa的机制提供了新的分子洞察力.
强调公众对空气污染作为前列腺癌潜在的环境风险因素的认识的重要性.

关键词:

空气污染物的空气污染物.机器学习机器学习分子对接分子对接网络毒理学网络毒理学前列腺癌是什么意思前列腺癌是什么意思

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