GEO series
High-frequency recurrence index for predicting multiple recurrences in non-muscle-invasive bladder cancer (Validation cohort)
GSE294705
Homo sapiens
Expression profiling by high throughput sequencing
94 samples
2026/02/07
GPL16791
Summary
Non-muscle invasive bladder cancer (NMIBC) has a recurrence rate of more than 50% after transurethral resection (TUR) and Calmette-Guérin (BCG) treatment. This study aimed to develop a high-frequency recurrence index (HfRI) to predict multiple recurrences in NMIBC patients and guide personalized treatment strategies. In this study, we analyzed transcriptome data (Discovery cohort) of 45 high-risk NMIBC patients who received intravesical BCG treatment, including patients with >=2 recurrences, to identify genes significantly associated with high-frequency recurrence and construct a signature. In addition, we validated the predictive performance using transcriptome data of 94 patients (Validation cohort).
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Paper (PMID 41749284) ↗
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