Quality-of-life outcomes and risk prediction for patients randomized to nivolumab plus ipilimumab vs nivolumab on LungMAP-S1400I

Author:

Unger Joseph M12ORCID,Qian Lu12,Redman Mary W12,Tavernier Susan S3,Minasian Lori4,Sigal Ellen V5,Papadimitrakopoulou Vassiliki A67,Leblanc Michael12,Cleeland Charles S6,Dzingle Samuel A8,Summers Thomas J9,Chao Herta10,Madhusudhana Sheshadri11,Villaruz Liza12,Crawford Jeffrey13,Gray Jhanelle E14,Kelly Karen L15,Gandara David R15,Bazhenova Lyudmila16,Herbst Roy S17,Gettinger Scott N17,Moinpour Carol M18

Affiliation:

1. SWOG Statistics and Data Management Center , Seattle, WA, USA

2. Fred Hutchinson Cancer Center , Seattle, WA, USA

3. Idaho State University , Pocatello, ID, USA

4. Division of Cancer Prevention, National Cancer Institute, Community Oncology and Prevention Trials Group , Rockville, MD, USA

5. Friends of Cancer Research , Washington, DC, USA

6. The University of Texas MD Anderson Cancer Center , Houston, TX, USA

7. Pfizer Oncology, Inc , New York, NY, USA

8. SWOG Data Operations Center, Cancer Research and Biostatistics , Seattle, WA, USA

9. Cookeville Regional Medical Center, Southeast NCORP , Cookeville, TN, USA

10. Veterans Affairs Connecticut Healthcare System, Yale University School of Medicine, Massachusetts Veterans Epidemiology Research and Information Center , New Haven, CT, USA

11. University Health Truman Medical Center, University of Kansas Cancer Center—Midwest Cancer Alliance Rural MU National Cancer Institute Community Oncology Research Program , Kansas City, MO, USA

12. University of Pittsburgh Medical Center Hillman Cancer Center , Pittsburgh, PA, USA

13. Duke Cancer Institute , Durham, NC, USA

14. H. Lee Moffitt Cancer Center and Research Institute , Tampa, FL, USA

15. University of California Davis Comprehensive Cancer Center , Sacramento, CA, USA

16. University of California San Diego Moores Cancer Center , La Jolla, CA, USA

17. Yale Cancer Center , New Haven, CT, USA

18. Public Health Sciences Division, Fred Hutchinson Cancer Research Center , Seattle, WA, USA

Abstract

AbstractBackgroundAn important issue for patients with cancer treated with novel therapeutics is how they weigh the effects of treatment on survival and quality of life (QOL). We compared QOL in patients enrolled to SWOG S1400I, a substudy of the LungMAP biomarker-driven master protocol.MethodsSWOG S1400I was a randomized phase III trial comparing nivolumab plus ipilimumab vs nivolumab for treatment of immunotherapy-naïve disease in advanced squamous cell lung cancer. The primary endpoint was the MD Anderson Symptom Inventory–Lung Cancer severity score at week 7 and week 13 with a target difference of 1.0 points, assessed using multivariable linear regression. A composite risk model for progression-free and overall survival was derived using best-subset selection.ResultsAmong 158 evaluable patients, median age was 67.6 years and most were male (66.5%). The adjusted MD Anderson Symptom Inventory–Lung Cancer severity score was 0.04 points (95% confidence interval [CI] = −0.44 to 0.51 points; P = .89) at week 7 and 0.12 points (95% CI = −0.41 to 0.65; P = .66) at week 13. A composite risk model showed that patients with high levels of appetite loss and shortness of breath had a threefold increased risk of progression or death (hazard ratio [HR] = 3.06, 95% CI = 1.88 to 4.98; P < .001) and that those with high levels of both appetite loss and work limitations had a fivefold increased risk of death (HR = 5.60, 95% CI = 3.27 to 9.57; P < .001)—compared with those with neither risk category.ConclusionsWe found no evidence of a benefit of ipilimumab added to nivolumab compared with nivolumab alone for QOL in S1400I. A risk model identified patients at high risk of poor survival, demonstrating the prognostic relevance of baseline patient-reported outcomes even in those with previously treated advanced cancer.

Funder

National Institutes of Health

NCI

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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