Overview
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.
Description
Bladder cancer is a highly heterogeneous disease with complex genetic mutations that influence tumor behavior, treatment response, and patient outcomes. Current genetic testing methods often face limitations in simultaneously detecting multiple mutations with high sensitivity and low cost. This study aims to develop and clinically validate a novel multiplex mutation detection system for bladder cancer based on nucleic acid mass spectrometry. The study consists of two phases. In the first phase, a standardized detection panel targeting key bladder cancer-related genes and functional mutation sites will be established, selected based on mutation frequency, clinical significance, survival impact, and evidence from authoritative databases such as The Cancer Genome Atlas (TCGA), OncoKB, and ClinVar. The panel covers critical genes, including Fibroblast Growth Factor Receptor 3 (FGFR3), Tumor Protein P53 (TP53), and others involved in tumor progression, therapeutic response, and prognosis. In the second phase, the clinical utility of this system will be validated using 400 freshly collected bladder cancer tissue samples and paired adjacent normal tissue samples. This detection system offers several advantages: 1. High-throughput multiplexing - simultaneous detection of up to 30 mutation sites in a single run; 2. High sensitivity - capable of detecting low-frequency mutations (as low as 0.1% variant allele frequency); 3. Quantitative analysis - provides allele frequency information to assess tumor burden and monitor treatment response; 4. Cost-effectiveness and simplicity - lower cost and simpler workflow compared to next-generation sequencing, making it suitable for clinical implementation. The clinical value of this system will be rigorously evaluated by: 1. Comparing its risk stratification performance with established clinical tools, such as the European Organisation for Research and Treatment of Cancer (EORTC), European Association of Urology (EAU), and Vesical Imaging-Reporting and Data System (VI-RADS); 2. Assessing its treatment predictive value against current standards, such as the Spanish Bladder Cancer Group (CUETO) and immunohistochemical markers; 3. Validating its accuracy against whole-exome sequencing as the gold standard in paired samples of tumor and adjacent normal tissues. By providing a comprehensive, affordable, and clinically actionable mutation profiling tool, this study aims to improve precision risk stratification, guide individualized treatment decisions, and enable dynamic recurrence monitoring for bladder cancer patients. The ultimate goal is to establish a standardized molecular diagnostic framework that can be integrated into routine clinical practice.
Eligibility
Inclusion Criteria:
- Histologically confirmed diagnosis of urothelial carcinoma of the bladder (any stage, including non-muscle invasive and muscle invasive).
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- Availability of sufficient tumor tissue specimen (fresh frozen) for DNA extraction and mutation analysis.
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- Age ≥ 18 years at time of diagnosis.
Exclusion Criteria:
- History of other malignant tumors within the past 5 years, except adequately treated non-melanoma skin cancer or carcinoma in situ of the cervix.
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- Inadequate quality or quantity of tumor tissue DNA for mutation panel analysis (e.g., severe DNA degradation, insufficient DNA yield).
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- Pregnancy or breastfeeding.
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- Serious uncontrolled intercurrent illness that would interfere with study follow-up or compliance, including but not limited to ongoing or active infection, symptomatic congestive heart failure, unstable angina pectoris, cardiac arrhythmia, or psychiatric illness/social situations that would limit compliance with study requirements.