通过尿路微生物群探索膀癌症:创新的"尿型"分类和诊断模型的建立
Zhaoyang Sheng1,2, Jing Liu3,4, Maoyu Wang1
1Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Journal of translational medicine
|July 22, 2025
概括
这项研究揭示了膀癌 (BCa) 患者的明显的尿路微生物群概况,为一种新的非侵入性诊断模型确定了微生物生物标志物. 这项研究引入了"尿型",以提高BCa的诊断准确性和个性化治疗策略.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 微生物学 微生物学
- 在瘤学瘤学.
背景情况:
- 膀癌 (BCa) 是一种重大且致命的尿路恶性瘤.
- 新出现的证据将尿路微生物群与BCa的发病,进展和预后联系起来.
- 这项研究探讨了尿路微生物群在BCa中的作用,旨在开发非侵入性诊断工具.
研究的目的:
- 为了研究膀癌 (BCa) 患者的尿道微生物群组成.
- 使用微生物生物标志物开发BCa的非侵入性诊断模型.
- 引入一种基于尿液的新型微生物群分类方法,
主要方法:
- 在使用16S rRNA基因测序的发现和验证队伍中分析了尿路微生物群.
- 确定了潜在的微生物生物标志物,并构建了一个基于森林的随机诊断模型.
- 采用集群分析来定义不同的分类分析.
主要成果:
- BCa患者表现出尿路微生物群丰富性和多样性的增加,而β多样性的改变.
- 在BCa患者中,特定的细菌属 (例如,Sphingomonas,Anaerococcus) 更为丰富.
- 一个12个基因的生物标记模型实现了高的诊断准确性 (AUC 89.08%的发现,70.8%的验证);
结论:
- 描述了BCa患者的尿路微生物群,建立了可靠的非侵入性诊断方法.
- 引入 引入 引入 引入
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