Quality of Life and Adverse Events: Prognostic Relationships in Long-Term Ovarian Cancer Survival

Author:

Wenzel Lari1ORCID,Osann Kathryn1ORCID,McKinney Chelsea1,Cella David2,Fulci Giulia3,Scroggins Mary J4,Lankes Heather A5,Wang Victoria6ORCID,Nephew Kenneth P7ORCID,Maxwell George L8,Mok Samuel C9ORCID,Conrads Thomas P8,Miller Austin10ORCID,Mannel Robert S11,Gray Heidi J12,Hanjani Parviz13,Huh Warner K14,Spirtos Nick15ORCID,Leitao Mario M16,Glaser Gretchen17ORCID,Sharma Sudarshan K18,Santin Alessandro D19,Sperduto Paul20,Lele Shashikant B10,Burger Robert A21,Monk Bradley J22ORCID,Birrer Michael23

Affiliation:

1. Department of Medicine and Program in Public Health, University of California, Irvine, CA, USA

2. Department of Medical Social Sciences, Northwestern University Health System, Chicago, IL, USA

3. GlaxoSmithKline; Waltham, MA, USA

4. International Gynecology Cancer Society, Austin, TX, USA

5. NRG Oncology, Philadelphia, PA, USA

6. Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA

7. Medical Sciences Program, Indiana University School of Medicine-Bloomington, Bloomington, IN, USA

8. Women’s Health Integrated Research Center at Inova Health System, Women’s Service Line, Inova Health System, Falls Church, VA, USA

9. Department of Gynecological Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA

10. Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA

11. Stephenson Cancer Center, Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Oklahoma, Oklahoma City, OK, USA

12. Gynecologic Oncology, University of Washington Medical Center, Seattle, WA, USA

13. Gynecologic Oncology, Abington—Jefferson Health, Abington, PA, USA

14. University of Alabama Highlands, Birmingham, AL, USA

15. Women’s Cancer Center of Nevada, Las Vegas, NV, USA

16. Memorial Sloan Kettering Cancer and Weill Cornell Medical Center, New York, NY, USA

17. Gynecologic Oncology, Mayo Clinic, Owatonna, MN, USA

18. AMITA Health Physicians, Hinsdale, IL, USA

19. Department of Obstetrics, Gynecology and Reproductive Services, Yale University School of Medicine, New Haven, CT, USA

20. Minneapolis Radiation Oncology and Metro-Minnesota Community Oncology Research Consortium, St. Louis Park, MN, USA

21. Genentech, Oceanside, CA, USA

22. Division of Gynecologic Oncology, Arizona Oncology (US Oncology Network), University of Arizona College of Medicine, Phoenix, AZ, USA

23. Winthrop P. Rockefeller Cancer Institute University of Arkansas for Medical Sciences, Little Rock, AR, USA

Abstract

Abstract Background There is a critical need to identify patient characteristics associated with long-term ovarian cancer survival. Methods Quality of life (QOL), measured by the Functional Assessment of Cancer Therapy-Ovarian-Trial Outcome Index (FACT-O-TOI), including physical, functional, and ovarian-specific subscales, was compared between long-term survivors (LTS) (8+ years) and short-term survivors (STS) (<5 years) of GOG 218 at baseline; before cycles 4, 7, 13, 21; and 6 months post-treatment using linear and longitudinal mixed models adjusted for covariates. Adverse events (AEs) were compared between survivor groups at each assessment using generalized linear models. All P values are 2-sided. Results QOL differed statistically significantly between STS (N = 1115) and LTS (N = 260) (P < .001). Baseline FACT-O-TOI and FACT-O-TOI change were independently associated with long-term survival (odds ratio = 1.05, 95% confidence interval = 1.03 to 1.06 and odds ratio = 1.06, 95% confidence interval = 1.05 to 1.07, respectively). A 7-point increase in baseline QOL was associated with a 38.0% increase in probability of LTS, and a 9-point increase in QOL change was associated with a 67.0% increase in odds for LTS. QOL decreased statistically significantly with increasing AE quartiles (cycle 4 quartiles: 0-5 vs 6-8 vs 9-11 vs ≥12 AEs, P = .01; cycle 21 quartiles: 0-2 vs 3 vs 4-5 vs ≥6 AEs, P = .001). Further, LTS reported statistically significantly better QOL compared with STS (P = .03 and P = .01, cycles 4 and 21, respectively), with similar findings across higher AE grades. Conclusions Baseline and longitudinal QOL change scores distinguished LTS vs STS and are robust prognosticators for long-term survival. Results have trial design and supportive care implications, providing meaningful prognostic value in this understudied population.

Funder

United States Department of Defense

National Cancer Institute grants NRG Oncology Statistics and Data Management Center

NRG Oncology Operations

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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