使用网络毒理学和机器学习探索空气污染物与非小细胞肺癌之间的联系
Qiang Zhao1,2, Zhiqiang Zhao3, Kunpeng Du4
1Center for Precision Cancer Medicine and Translational Research, Tianjin Cancer Hospital Airport Hospital, Tianjin, 300308, China.
Discover oncology
|November 27, 2025
概括
空气污染物与非小细胞肺癌 (NSCLC) 的发展有关. 这项研究确定了七个核心基因作为NSCLC的潜在诊断标记物和治疗点,显示了与污染物的强烈相互作用.
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:
- 非小细胞肺癌 (NSCLC) 是一个主要的全球健康问题,死亡率高.
- 环境因素,特别是空气污染,越来越多地被认为是NSCLC致病的潜在因素.
- 了解空气污染物和NSCLC之间的分子联系对于开发有效的预防和治疗策略至关重要.
研究的目的:
- 调查特定空气污染物与非小细胞肺癌 (NSCLC) 之间的关联.
- 确定与空气污染物暴露有关的NSCLC的潜在分子生物标志物和治疗点.
- 阐明连接空气污染物与NSCLC发展的潜在分子机制.
主要方法:
- 转录组数据分析以识别NSCLC中与空气污染物相关的基因标.
- 机器学习算法用于确定核心基因并评估其诊断潜力.
- 分子对接和动力学模拟以评估污染物和已识别的基因之间的结合相互作用.
主要成果:
- 鉴定了30个基因标,其中7个核心基因 (CKS1B,GAPDH,TYMS,AURKA,CCNE1,PARP1,MGLL) 显示出高诊断精度 (AUC>0.95).
- 在这些核心基因与各种空气污染物 (CO,NO,NO2,SO2,BaA,BaP,3-MC) 之间观察到强烈的结合相互作用.
- 分子动力学模拟证实了这些污染物-基因相互作用的稳定性,这表明了直接的分子影响.
结论:
- 空气污染物与非小细胞肺癌的发展有显著的关联.
- 已识别的核心基因作为NSCLC诊断和潜在治疗点的有希望的生物标志物.
- 建议进一步进行临床验证和针对性治疗的开发,考虑环境风险因素,以改善NSCLC的管理.
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