Neeraj Agarwal1, Joaquim Bellmunt2, Benjamin L Maughan1, Kenneth M Boucher3, Toni K Choueiri4, Angela Q Qu4, Nicholas J Vogelzang5, Ronan Fougeray6, Guenter Niegisch7, Peter Albers7, Yu-Ning Wong8, Yoo-Joung Ko9, Srikala S Sridhar10, Srinivas K Tantravahi1, Matthew D Galsky11, Daniel P Petrylak12, Ulka N Vaishampayan13, Amitkumar N Mehta14, Tomasz M Beer15, Cora N Sternberg16, Jonathan E Rosenberg17, Guru Sonpavde18. 1. Department of Internal Medicine/Medical Oncology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT. 2. University Hospital del Mar-IMIM, Barcelona, Spain. 3. Department of Oncological Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT. 4. Department of Medicine/Solid Tumor Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA. 5. Comprehensive Cancer Centers of Nevada, Las Vegas, NV. 6. Institut de Recherche Pierre Fabre, Boulogne, France. 7. Department of Urology, Heinrich Heine University, Dusseldorf, Germany. 8. Department of Medical Oncology, Fox Chase Cancer Center, Philadelphia, PA. 9. Department of Medicine, Sunnybrook Odette Cancer Centre, Toronto, ON, Canada. 10. Department of Medicine, Princess Margaret Hospital, Toronto, ON, Canada. 11. Department of Medicine/Hematology and Medical Oncology, Tisch Cancer Center Institute, Mount Sinai School of Medicine, New York, NY. 12. Department of Internal Medicine/Medical Oncology, Yale University Cancer Center, New Haven, CT. 13. Department of Oncology, Wayne State University, Detroit, MI. 14. Department of Medicine/Hematology-Oncology, UAB Comprehensive Cancer Center, Birmingham, AL. 15. Department of Medicine/Hematology-Oncology, Oregon Health & Science University, Knight Cancer Institute, Portland, OR. 16. Department of Medical Oncology, San Camillo and Forlanini Hospitals, Rome, Italy. 17. Department of Medicine/Hematology-Oncology, Memorial Sloan Kettering Cancer Center, New York, NY. 18. Department of Medicine/Hematology-Oncology, UAB Comprehensive Cancer Center, Birmingham, AL. Electronic address: gsonpavde@uabmc.edu.
Abstract
OBJECTIVE: Second-line systemic therapy for advanced urothelial carcinoma (UC) has substantial unmet needs, and current agents show dismal activity. Second-line trials of metastatic UC have used response rate (RR) and median progression-free survival (PFS) as primary endpoints, which may not reflect durable benefits. A more robust endpoint to identify signals of durable benefits when investigating new agents in second-line trials may expedite drug development. PFS at 6 months (PFS6) is a candidate endpoint, which may correlate with overall survival (OS) at 12 months (OS12) and may be applicable across cytostatic and cytotoxic agents. METHODS: Ten second-line phase II trials with individual patient outcomes data evaluating chemotherapy or biologics were combined for discovery, followed by external validation in a phase III trial. The relationship between PFS6/RR and OS12 was assessed at the trial level using Pearson correlation and weighted linear regression, and at the individual level using Pearson chi-square test with Yates continuity correction. RESULTS: In the discovery dataset, a significant correlation was observed between PFS6 and OS12 at the trial (R(2) = 0.55, Pearson correlation = 0.66) and individual levels (82%, Қ = 0.45). Response correlated with OS12 at the individual level less robustly (78%, Қ = 0.36), and the trial level association was not statistically significant (R(2) = 0.16, Pearson correlation = 0.37). The correlation of PFS6 (81%, Қ = 0.44) appeared stronger than the correlation of response (76%, Қ = 0.17) with OS12 in the external validation dataset. CONCLUSIONS: PFS6 is strongly associated with OS12 and appears more optimal than RR to identify active second-line agents for advanced UC.
OBJECTIVE: Second-line systemic therapy for advanced urothelial carcinoma (UC) has substantial unmet needs, and current agents show dismal activity. Second-line trials of metastatic UC have used response rate (RR) and median progression-free survival (PFS) as primary endpoints, which may not reflect durable benefits. A more robust endpoint to identify signals of durable benefits when investigating new agents in second-line trials may expedite drug development. PFS at 6 months (PFS6) is a candidate endpoint, which may correlate with overall survival (OS) at 12 months (OS12) and may be applicable across cytostatic and cytotoxic agents. METHODS: Ten second-line phase II trials with individual patient outcomes data evaluating chemotherapy or biologics were combined for discovery, followed by external validation in a phase III trial. The relationship between PFS6/RR and OS12 was assessed at the trial level using Pearson correlation and weighted linear regression, and at the individual level using Pearson chi-square test with Yates continuity correction. RESULTS: In the discovery dataset, a significant correlation was observed between PFS6 and OS12 at the trial (R(2) = 0.55, Pearson correlation = 0.66) and individual levels (82%, Қ = 0.45). Response correlated with OS12 at the individual level less robustly (78%, Қ = 0.36), and the trial level association was not statistically significant (R(2) = 0.16, Pearson correlation = 0.37). The correlation of PFS6 (81%, Қ = 0.44) appeared stronger than the correlation of response (76%, Қ = 0.17) with OS12 in the external validation dataset. CONCLUSIONS:PFS6 is strongly associated with OS12 and appears more optimal than RR to identify active second-line agents for advanced UC.
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