Bladder cancer is one of the most common malignancies of the urinary system and is characterized by high recurrence rates and poor long-term outcomes. Early detection and accurate diagnosis are essential for improving clinical management. This prospective diagnostic accuracy study aims to develop and validate a precision diagnostic model for bladder cancer based on microfluidic isolation and multiplex detection of urinary exosomes. A novel microfluidic platform will be developed for rapid and efficient urinary exosome enrichment. Multi-omics approaches, including RNA sequencing and proteomic profiling, will be used to identify bladder cancer-associated urinary exosome biomarkers. A multiplex microfluidic detection chip will subsequently be developed for simultaneous detection of multiple biomarkers. A diagnostic model integrating urinary exosome biomarker profiles and clinical characteristics will be developed in a training cohort and prospectively validated in an independent cohort. Diagnostic performance will be evaluated using pathological diagnosis as the reference standard. This study aims to establish a non-invasive, rapid, and accurate diagnostic strategy for bladder cancer.
Age range
18 Years
Sex
ALL
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Diagnostic accuracy of urinary exosome-based model for bladder cancer detection
Timeframe: At completion of prospective validation (September 2027)