Association of baseline quality of life (QOL) and early death in patients with metastatic renal cell carcinoma (mRCC) in the real-world prospective observational ODYSSEY study.

M Michael R. Harrison (Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University School of Medicine, Durham, NC) E Elizabeth Wulff (University of Kansas Medical Center, Kansas City, KS) Y Yasser Ged B Benjamin L. Maughan (University of Utah, Salt Lake City, UT) N Nrupen Anjan Bhavsar (Department of Surgery, Duke University Health System, Durham, NC) L Leonard Joseph Appleman (University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA) Y Yousef Zakharia (Division of Hematology and Medical Oncology, Department of Internal Medicine Mayo Clinic Phoenix Arizona USA) B Brian Addis Costello (Division of Medical Oncology, Mayo Clinic Rochester, Rochester, MN) D Deepak Kilari (Medical College of Wisconsin, Milwaukee, WI) S Sorab Gupta (Geisinger Health System, Wilkes-Barre, PA) M Melyssa Bratton (Ochsner Health, New Orleans, LA) P Paul Monk (Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center – James Cancer Hospital and Solove Research Institute, Columbus, OH) U Ulka N. Vaishampayan (Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI) T Tracy L. Rose S Sarah Jabusch (Duke Clinical Research Institute, Durham, NC) K Kimberly T. Ward (Duke Clinical Research Institute, Durham, NC) Y Yuan Wu C Courtney Page (Duke Clinical Research Institute, Durham, NC) T Tian Zhang (Division of Hematology‐Oncology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas Texas USA) D Daniel J. George (Duke Cancer Institute, Duke University School of Medicine, Durham, NC)

Abstract

4559 Background: Baseline QOL has been linked to survival in mRCC therapy clinical trials (Cella, 2024); however, there is a paucity of prospectively collected real-world QOL data across front-line management strategies. We used data from ODYSSEY to examine the relationship between baseline QOL and early death. Methods: ODYSSEY is a multi-site, prospective observational study of 468 US pts with mRCC. Pts must have mRCC (any histology); have no prior systemic therapy (ST) or be within 3 months of starting ST; and follow up at a PCORnet study site. Exclusion criteria include treatment for cancer except mRCC. The primary objective is to determine patterns of change in QOL and symptom burden of pts with mRCC. Early death was defined as death within 12 months post-enrollment. All pts with non-missing FKSI-19 or FKSI-DRS at enrollment were included. Cumulative event probabilities as a function of time were stratified by either < or ≥ median QoL value and plotted as a step function vs time since enrollment to create cumulative event curves. To determine association between QoL at enrollment and early death, separate Cox proportional hazards models (unadjusted and adjusted) for time-to-first-event as a function of baseline QoL were fit. The adjusted model controlled for the following baseline covariates: IMDC risk (favorable vs intermediate or poor), histology (clear cell vs non). Results: As of 1/5/26, 468 pts were enrolled; 425 had non-missing FKSI-19 or FKSI-DRS at enrollment (329 immediate ST, 96 deferred ST [DST]). ST included 129 IO-IO, 108 IO-TKI, 92 Other. DST included 57 Active Surveillance, 22 Local Therapy Planned, 17 Other/Missing. 209 and 190 pts have < median FKSI-19 (score = 59) and FKSI-DRS (score = 29), respectively; 216 and 235 pts have ≥ median FKSI-19 and FKSI-DRS, respectively. Those below the median have lower rates of nephrectomy, worse IMDC risk and KPS, shorter time since RCC diagnosis, and higher rates of bone metastasis (all p<0.05). Cumulative event probabilities for death at 12 months are 21% and 7% in those < and ≥ median baseline FKSI-19, respectively; and 21% and 7% in those < and ≥ median baseline FKSI-DRS, respectively. For FKSI-19, the unadjusted hazard ratio (HR) for early death is 0.55 (95% CI: 0.43 – 0.70; p<0.001) and adjusted HR is 0.65 (0.49 – 0.85; p = 0.002) per 1 SD higher score. For FKSI-DRS, the unadjusted HR for early death is 0.57 (95% CI: 0.46 – 0.71; p<0.001) and adjusted HR is 0.66 (0.51 – 0.86; p =0.002) per 1 SD higher score (higher score indicates better QOL). Conclusions: Across management strategies in our ODYSSEY cohort of systemic therapy naïve mRCC patients, better baseline QOL was associated with better survival. This is to our knowledge the largest reported real world mRCC cohort with prospectively collected PROs. Future analyses will focus on association of outcomes with longitudinal PROs. Clinical trial information: NCT04919122 .

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
Pages 4559-4559
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

M

Michael R. Harrison

Duke Cancer Institute Center for Prostate and Urologic Cancers, Duke University School of Medicine, Durham, NC

E

Elizabeth Wulff

University of Kansas Medical Center, Kansas City, KS

Y

Yasser Ged

B

Benjamin L. Maughan

University of Utah, Salt Lake City, UT

N

Nrupen Anjan Bhavsar

Department of Surgery, Duke University Health System, Durham, NC

L

Leonard Joseph Appleman

University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA

Y

Yousef Zakharia

Division of Hematology and Medical Oncology, Department of Internal Medicine Mayo Clinic Phoenix Arizona USA

B

Brian Addis Costello

Division of Medical Oncology, Mayo Clinic Rochester, Rochester, MN

D

Deepak Kilari

Medical College of Wisconsin, Milwaukee, WI

S

Sorab Gupta

Geisinger Health System, Wilkes-Barre, PA

M

Melyssa Bratton

Ochsner Health, New Orleans, LA

P

Paul Monk

Division of Medical Oncology, The Ohio State University Comprehensive Cancer Center – James Cancer Hospital and Solove Research Institute, Columbus, OH

U

Ulka N. Vaishampayan

Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI

T

Tracy L. Rose

S

Sarah Jabusch

Duke Clinical Research Institute, Durham, NC

K

Kimberly T. Ward

Duke Clinical Research Institute, Durham, NC

Y

Yuan Wu

C

Courtney Page

Duke Clinical Research Institute, Durham, NC

T

Tian Zhang

Division of Hematology‐Oncology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas Texas USA

D

Daniel J. George

Duke Cancer Institute, Duke University School of Medicine, Durham, NC