The future of bladder cancer therapy: Optimizing the inhibition of the fibroblast growth factor receptor
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Updated: Aug 8, 2026

An Orthotopic Bladder Cancer Model for Gene Delivery Studies
Published on: December 1, 2013
Rafael Morales-Barrera1, Cristina Suárez1, Macarena González1
1Vall d'Hebron Institute of Oncology, Vall d' Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain.
Abstract:
Therapeutic options for metastatic bladder cancer (BC) have seen minimal evolution over the past 30 years, with platinum-based chemotherapy remaining the mainstay of standard of care for metastatic BC. Recently, five immune checkpoint inhibitors (ICIs) have been approved by the FDA as second-line therapy, and two ICIs are approved as first-line treatment in selected patients. Molecular alterations of muscle-invasive bladder cancer (MIBC) have been reported by The Cancer Genome Atlas. About 15% of patients with MIBC have molecular alterations in the fibroblast growth factor (FGF) axis. Several ongoing trials are testing novel FGF receptor (FGFR) inhibitors in patients with FGFR genomic aberrations. Recently, erdafitinib, a pan-FGFR inhibitor, was approved by the FDA in patients with metastatic BC who have progressed on platinum-based chemotherapy. We reviewed the literature over the last decade and provide a summary of current knowledge of FGF signaling, and the prognosis associated with FGFR mutations in BC. We cover the role of FGFR inhibition with non-selective and selective tyrosine kinase inhibitors as well as novel agents in metastatic BC. Efficacy and safety data including insights from mechanism-based toxicity are reported for selected populations of metastatic BC with FGFR aberrations. Current strategies to managing resistance to anti-FGFR agents is addressed, and the importance of developing reliable biomarkers as the therapeutic landscape moves towards an individualized therapeutic approach.
Insights
Metastatic bladder cancer (BC) treatment has advanced with immune checkpoint inhibitors and targeted therapies. Fibroblast growth factor receptor (FGFR) inhibitors show promise for patients with specific FGFR alterations in metastatic BC.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Therapeutics
Background:
- Metastatic bladder cancer (BC) treatment options have been limited, with platinum-based chemotherapy as the standard for decades.
- Recent approvals of immune checkpoint inhibitors (ICIs) offer new therapeutic avenues for metastatic BC.
- The Cancer Genome Atlas identified fibroblast growth factor (FGF) axis alterations in approximately 15% of muscle-invasive bladder cancer (MIBC) cases.
Purpose of the Study:
- To review the current knowledge of FGF signaling pathways in bladder cancer.
- To summarize the prognosis associated with FGFR mutations in BC.
- To discuss the efficacy, safety, and resistance mechanisms of FGFR inhibitors in metastatic BC.
Main Methods:
- Literature review of studies published over the last decade focusing on FGF signaling and FGFR inhibitors in bladder cancer.
- Analysis of efficacy and safety data for FGFR inhibitors in selected populations of metastatic BC with FGFR aberrations.
- Exploration of current strategies for managing resistance to anti-FGFR agents.
Main Results:
- Fibroblast growth factor receptor (FGFR) inhibitors, such as erdafitinib, have emerged as a targeted therapy for metastatic BC patients with FGFR genomic aberrations.
- FGFR inhibitors demonstrate efficacy in patients who have progressed on platinum-based chemotherapy.
- Understanding mechanism-based toxicities and developing biomarkers are crucial for optimizing FGFR inhibitor therapy.
Conclusions:
- Targeted therapies, particularly FGFR inhibitors, represent a significant advancement in treating metastatic bladder cancer with specific molecular alterations.
- Further research into resistance mechanisms and biomarker development is essential for personalized treatment approaches.
- The therapeutic landscape for metastatic BC is shifting towards individualized strategies based on molecular profiling.
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