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FGFR inhibitors in urothelial cancer: Contextualizing THOR within the new treatment landscape
1University of Massachusetts Medical Center, Worcester, MA, USA.
Abstract:
As frontline treatment of advanced urothelial cancer (UC) evolves, optimal sequencing of subsequent therapies remains unclear. The phase 3 THOR trial compared the efficacy of erdafitinib to chemotherapy or immunotherapy in FGFR3/2-altered advanced UC. THOR offers valuable data informing sequencing strategies, reinforcing the need for molecular testing in UC.
Insights
The THOR trial compared erdafitinib to chemotherapy or immunotherapy for advanced urothelial cancer (UC) with FGFR3/2 alterations. Findings help guide treatment sequencing after initial therapies for advanced UC.
Area of Science:
- Oncology
- Genitourinary Cancer
- Translational Research
Background:
- Advanced urothelial cancer (UC) treatment is evolving, with optimal sequencing of therapies after initial treatment remaining a challenge.
- Fibroblast growth factor receptor (FGFR) alterations are key drivers in a subset of advanced UC, making them a target for precision medicine.
Purpose of the Study:
- To compare the efficacy of erdafitinib versus chemotherapy or immunotherapy in patients with advanced UC harboring FGFR3/2 alterations.
- To provide data that informs subsequent treatment strategies in advanced urothelial cancer.
Main Methods:
- Phase 3 clinical trial design.
- Inclusion of patients with advanced urothelial cancer and specific FGFR3/2 alterations.
- Comparison of erdafitinib efficacy against standard chemotherapy or immunotherapy regimens.
Main Results:
- The THOR trial provides valuable data on the efficacy of erdafitinib in this specific patient population.
- Results inform the potential role of erdafitinib in the treatment landscape of advanced UC.
- Data highlights the importance of molecular profiling for treatment selection.
Conclusions:
- The study offers insights into sequencing strategies for advanced urothelial cancer.
- Molecular testing for FGFR3/2 alterations is crucial for identifying eligible patients.
- Findings contribute to the evolving management of advanced UC.
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