Exploring bladder cancer through urinary microbiota: innovative “urinetypes” classification and establishment of a diagnostic model

作者：Zhaoyang Sheng, Jing Liu, Maoyu Wang, Xiang Chen, Jinshan Xu, Chen Zhang, Xu Yang, Hui Zhang, Jin-Peng Zhu, Nan Qin, Shuxiong Zeng, Zhijun Zheng, Zhensheng Zhang · 发表于：Journal of Translational Medicine · 年份：2025 · DOI：10.1186/s12967-025-06518-y · 被引用次数：9 · 研究领域：Gut microbiota and health、Bladder and Urothelial Cancer Treatments、Ferroptosis and cancer prognosis

BACKGROUND: Bladder cancer (BCa) is a prevalent and lethal malignancy of the urinary system. Recent evidence suggests a strong association between the urinary microbiota and the pathogenesis, progression, and prognosis of BCa. This study investigated the role of the urinary microbiota in BCa, aiming to develop a non-invasive diagnostic model based on microbial biomarkers. Additionally, we proposed a novel urine-based microbiota classification method to enhance diagnostic accuracy and guide treatment strategies. METHODS: The study included a discovery cohort (104 BCa patients, 56 with Other Malignant Urological Cancer, 98 with benign urinary diseases, and 42 healthy controls) and a validation cohort (66 BCa patients, 5 with Other Malignant Urological Cancer, 51 with benign urinary diseases, and 22 healthy controls). The urinary microbiota composition was analyzed using 16 S rRNA gene sequencing to assess diversity, identify biomarkers, and construct a diagnostic model for BCa. Finally, clustering analysis was used to establish "Urinetypes". RESULTS: BCa patients exhibited greater richness and diversity in their urinary microbiota, with significant differences in beta diversity observed across the groups. Genera such as Sphingomonas, Anaerococcus, Acinetobacter, Stenotrophomonas, Aeromonas, and Novosphingobium were more abundant in BCa patients, while Lactobacillus and Gardnerella were less abundant, suggesting their potential as biomarkers. PICRUSt analysis revealed significan...