Impact of Real-World Treatment Experience on Gene Therapy Uptake in NMIBC

Opinion
Video

An expert discusses how real-world evidence is driving gene therapy adoption in BCG-unresponsive disease primarily through demonstrated durability and excellent tolerability, with 30% to 40% of patients achieving long-term disease-free survival despite the need for better comparative data to guide treatment selection.

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Real-world evidence significantly influences gene therapy adoption in BCG-unresponsive non-muscle invasive bladder cancer (NMIBC) through demonstrated durability and tolerability profiles. The two viral gene therapies in development (one FDA-approved, one pending) utilize adenovirus-based vectors that are exceptionally well tolerated, with patients experiencing minimal impact on urinary quality of life beyond temporary symptoms lasting a few days. This favorable tolerability profile represents a significant advantage over other intravesical therapies that may cause more persistent urinary symptoms.

Long-term oncologic outcomes show meaningful success rates, with 30% to 40% of patients achieving disease-free survival despite the inherent challenges of treating BCG-unresponsive disease. While most patients still experience treatment failure, the substantial minority who achieve durable responses provides compelling evidence for continued therapy adoption. This success rate, comparable to a baseball batting average, represents a meaningful improvement for patients who otherwise face limited treatment options.

Treatment selection and sequencing remain significant challenges due to limited comparative data. The American Urological Association guidelines assign a Grade C recommendation with conditional approval, indicating uncertain net benefits and harms. This uncertainty underscores the critical need for comparative randomized trials to guide evidence-based treatment selection. Until such data become available, clinical decision-making relies on individual patient factors, provider experience and institutional protocols rather than standardized treatment algorithms.

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