TREATMENT RESPONSE AND RECURRENCE PATTERNS IN NON-MUSCLE-INVASIVE BLADDER CANCER

Abstract

Non-muscle-invasive bladder cancer (NMIBC) represents the most common presentation of bladder cancer and is characterized by a high propensity for recurrence despite standard therapeutic interventions. This study aimed to evaluate treatment response and recurrence patterns in NMIBC using survival-based secondary data analysis. A retrospective observational design was applied utilizing an open-access recurrence dataset structured in counting process format. Recurrence-free survival outcomes were assessed through Kaplan–Meier estimation, while independent predictors of recurrence were examined using Cox proportional hazards regression modeling. The findings revealed frequent recurrence events within the cohort, highlighting the chronic relapsing nature of NMIBC. Treated patients demonstrated a favorable trend toward improved recurrence-free survival compared with untreated controls, supporting the clinical importance of intravesical and adjuvant therapies in recurrence prevention. Tumor burden variables, particularly tumor size and multiplicity, were identified as clinically meaningful predictors of recurrence risk, emphasizing their role in recurrence-driven risk stratification. Survival modeling approaches proved valuable in capturing time-dependent recurrence dynamics and identifying high-risk subgroups requiring intensified surveillance. Although limited by the lack of detailed pathological and molecular information, this study contributes evidence supporting personalized recurrence management in NMIBC. Future research should incorporate larger multi-institutional datasets and advanced predictive tools to further optimize treatment strategies and long-term outcomes in NMIBC care.