Real-world early quality of life (QOL) changes on IO-based regimens in the prospective observational ODYSSEY metastatic renal cell carcinoma (mRCC) study.
Abstract
476 Background: Lack of standardized reporting and collection of patient-reported outcomes (PROs) limits cross-trial comparisons of first-line IO-based regimens for mRCC. Prospectively collected real world data may fill this important knowledge gap. Pts with stable/improved QoL at 3 mo versus baseline have longer median OS than pts with worse/unobserved HRQoL versus baseline (Cella, 2024). Methods: ODYSSEY is a multi-site, prospective observational study of 468 US pts with mRCC. Pts must have mRCC (any histology), no prior systemic therapy (ST), and follow up at a PCORnet study site. Exclusion criteria include treatment for cancer except mRCC. Descriptive statistics are used to show PRO score changes from baseline. We evaluate longitudinal change from baseline in PRO scores using least squares mean (LSM). Minimally important differences (MID) are 3 points for FKSI-19 total score, 1 point for the FKSI-Disease Related Symptoms (DRS) subscale and 7 points for FACT-G. Higher score indicates better QOL. The primary objective is to determine patterns of change in QOL and symptom burden of pts with mRCC. Results: As of 10/1/25, 360 pts were managed with ST, including 266 pts on IO-based combinations: 35 cabozantinib + nivolumab (C+N), 49 lenvatinib + pembrolizumab (L+P), 40 axitinib + pembrolizumab (A+P), and 142 ipilimumab + nivolumab (I+N). Overall median follow-up is 12.1 mos (IQR 6, 24). Age, sex and race were similar across regimens. Prior nephrectomy (50%) was lower than in trials. C+N and L+P pts had less clear cell (56 and 65%) versus A+P and I+N pts (94 and 82%). A+P pts had more favorable IMDC risk (19%) and less poor risk (14%). Baseline QOL was variable across regimens, with L+P generally the lowest. Absolute changes in PROs from enrollment to mo 3 (early change) by regimen are shown in the Table. LSM change from baseline in FKSI-19 and FKSI-DRS favored IO-IO versus IO-TKI at 3 mos but not at 6 mos (not shown). Conclusions: While early change in PROs did not meet the MID threshold between the IO-TKI and I+N cohorts, different patterns of early change are apparent among specific IO-TKI regimens. IO-TKI regimens exhibited higher variation in early PRO change vs I+N. As the data matures, we will associate baseline PROs and early PRO changes with early death and other outcomes. Clinical trial information: NCT04919122 . 3 month change. Instrument C+N (N=35) L+P (N=49) A+P (N=40) All IO-TKI(N=124) I+N(N=142) FKSI-19, N (%) 26 (74) 33 (67) 33 (83) 92 (74) 104 (73) Mean (SD) -0.3 (11) 2.8 (13) -3.2 (12) -0.2 (12) 0.7 (10) Median (IQR) 1.4 (-7, 6) 5.0 (-7, 11) -1.0 (-14, 5) 1.4 (-10, 8) -0.3 (-5, 6) FKSI-DRS, N (%) 26 (74) 33 (67) 33 (83) 92 (74) 104 (73) Mean (SD) -0.8 (5) 1.5 (7) -1.8 (6) -0.3 (6) 0.8 (5) Median (IQR) -0.5 (-5, 3) 2.0 (-5, 5) -1.0 (-5, 3) 0.0 (-5, 4) 0.0 (-2, 4) FACT-G, N (%) 27 (77) 32 (65) 29 (73) 88 (71) 102 (72) Mean (SD) 2.1 (14) 5.2 (16) -3.5 (15) 1.4 (15) 0.3 (13) Median (IQR) 4.0 (-4, 10) 1.2 (-6, 13) -6.4 (-11, 4) 1.6 (-8, 10) 1.6 (-7, 8)
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Michael R. Harrison
Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University School of Medicine, Durham, NC
Elizabeth Wulff
University of Kansas Medical Center, Kansas City, KS
Yasser Ged
Benjamin L. Maughan
University of Utah, Salt Lake City, UT
Nrupen Anjan Bhavsar
Department of Surgery, Duke University Health System, Durham, NC
Leonard Joseph Appleman
University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA
Brian Addis Costello
Division of Medical Oncology, Mayo Clinic Rochester, Rochester, MN
Deepak Kilari
Medical College of Wisconsin, Milwaukee, WI
Sorab Gupta
Geisinger Health System, Wilkes-Barre, PA
Melyssa Bratton
Ochsner Health, New Orleans, LA
Fernando Maciel Barbosa
University of Iowa Health Care, Iowa City, IA
Paul Monk
Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center – James Cancer Hospital and Solove Research Institute, Columbus, OH
Ulka N. Vaishampayan
Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI
Tracy L. Rose
Sarah Jabusch
Duke Clinical Research Institute, Durham, NC
Kimberly T. Ward
Duke Clinical Research Institute, Durham, NC
Yuan Wu
Courtney Page
Duke Clinical Research Institute, Durham, NC
Tian Zhang
Division of Hematology‐Oncology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas Texas USA
Daniel J. George
Duke Cancer Institute, Duke University School of Medicine, Durham, NC