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Improving Anti-PD-1/PD-L1 Therapy for Localized Bladder Cancer
Florus C de Jong1, Vera C Rutten1, Tahlita C M Zuiverloon1
1Department of Urology, Erasmus University Medical Center, Erasmus MC Cancer Institute, 3015 GD Rotterdam, The Netherlands.
International Journal of Molecular Sciences
|April 3, 2021
Summary
Immune checkpoint inhibitors (ICI) show promise for high-risk non-muscle invasive bladder cancer (HR-NMIBC) and muscle-invasive bladder cancer (MIBC). Further research is needed to improve patient selection and combination therapies for better outcomes.
Area of Science:
- Urology
- Oncology
- Immunotherapy
Background:
- High-risk non-muscle invasive bladder cancer (HR-NMIBC) outcomes are worsened by poor response to Bacillus-Calmette Guérin (BCG).
- Muscle-invasive bladder cancer (MIBC) treatment success is limited by lack of response to neoadjuvant chemotherapy and cisplatin ineligibility.
- Immune checkpoint inhibitors (ICI) demonstrate efficacy in metastatic bladder cancer, prompting investigation in earlier stages.
Purpose of the Study:
- To review the current challenges and opportunities of PD-1/PD-L1 inhibition in HR-NMIBC and MIBC.
- To identify areas for improvement in patient stratification, efficacy enhancement, and toxicity reduction for ICI therapy.
Main Methods:
- Literature review of PD-1/PD-L1 immune checkpoint inhibitors in bladder cancer treatment.
- Analysis of current treatment limitations and emerging therapeutic strategies.
Main Results:
- ICI therapy presents potential benefits for HR-NMIBC and MIBC patients.
- Significant challenges remain, including patient response variability, immune-related adverse events, and high treatment costs.
- Gaps exist in identifying predictive biomarkers for ICI response and optimizing combination therapies.
Conclusions:
- PD-1/PD-L1 inhibition offers a promising avenue for treating HR-NMIBC and MIBC.
- Development of predictive biomarkers and synergistic combination regimens is crucial to maximize ICI efficacy and minimize toxicity.
- Addressing these gaps will improve patient stratification and overall treatment outcomes.

