Clinical Trial

Multiplex Mutation Detection Using Mass Spectrometry in Bladder Cancer

Recruiting
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Summary
Bladder cancer is a highly heterogeneous malignancy characterized by frequent genetic alterations that are closely associated with disease progression, recurrence risk, and treatment response. However, existing mutation detection approaches are often limited by high cost, complex workflows, or insufficient capacity for multiplex and low-frequency mutation analysis, which restricts their routine clinical application. The purpose of this study is to establish and clinically validate a multiplex mutation detection system for bladder cancer based on nucleic acid mass spectrometry. Using fresh tumor tissue and matched adjacent normal tissue samples collected from patients with bladder cancer, a targeted mutation panel comprising key functional mutations with demonstrated clinical relevance will be constructed. The matched normal tissues serve as germline references to enable accurate identification of somatic mutations. The analytical performance of the system, including sensitivity, specificity, and concordance with whole-genome sequencing, will be systematically evaluated. In addition, the clinical utility of the mutation panel in risk stratification and treatment decision support will be explored by comparing its predictive value with established clinical models and guideline-recommended tools. The ultimate goal is to develop a cost-effective, reproducible, and clinically applicable molecular testing strategy that can support precision diagnosis and individualized management of patients with bladder cancer.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2026-02-14.
Trial Details
NCT Number NCT07424560
Lead Sponsor Zhilong Dong
Conditions Bladder Cancer, Bladder Cancer Recurrence, Adjuvant Therapy for Bladder Cancer, Progression of Bladder Cancer
Enrollment 400 participants
Start Date 2026-02-25
Primary Completion 2028-07-01 (estimated)
Study Completion 2028-07-01 (estimated)
Updated on ClinicalTrials.gov 2026-02-24