基于肠道微生物群作为胃癌诊断的非侵入性工具的预测模型
Changchang Chen1, Chen Chen2, Xiaoguang Zheng2
1Laboratory Medicine Center, Department of Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Applied microbiology and biotechnology
|July 10, 2025
概括
肠道微生物组的改变在胃癌 (GC) 中是显著的. 这项研究揭示了不同的微生物模式,并且与瘤生物标志物的组合模型增强了非侵入性GC诊断,提供了一种有前途的查方法.
科学领域:
- 微生物组研究的研究.
- 胃肠病学 胃肠病学
- 在瘤学瘤学.
背景情况:
- 胃癌 (GC) 的死亡率很高,目前的诊断依赖于侵入性方法,缺乏敏感的生物标志物用于早期检测.
- 使用16S rRNA技术的肠道微生物群分析显示了区分疾病状态的潜力,但其在GC诊断中的作用需要进一步调查.
研究的目的:
- 在胃癌 (GC) 中调查肠道微生物组变化的诊断价值.
- 开发一种结合肠道微生物群和瘤生物标志物的综合诊断模型,以改善非侵入性GC查.
主要方法:
- 来自健康对照组,GC患者和患有非新发性胃病的患者的455个便样本的分析.
- 使用了16S rRNA测序,Chao1指数,主要坐标分析,线性差异分析效果大小和随机森林建模.
- 整合了肠道微生物群数据与10个已确定的瘤生物标志物,以创建一个联合诊断模型.
主要成果:
- 在GC患者中观察到显著增加的微生物丰富度 (Chao1指数) 和明显的组成差异.
- 鉴定了19个健康的,富含控制物和31个富含GC的细菌族.
- 使用20个关键品种的随机森林模型实现了0.81的AUC;结合微生物群和生物标志物模型的AUC达到0.86 (验证:0.84).
结论:
- 在胃癌患者中,肠道微生物群的组成发生了显著的变化.
- 肠道微生物组显示出作为GC诊断的非侵入性生物标志物的前景.
- 结合肠道微生物群和瘤生物标志物的综合诊断模型提高了早期GC查的非侵入性诊断准确性.
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