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High Tumor Mutational Burden Correlates with Longer Survival in Immunotherapy-Naïve Patients with Diverse Cancers

Paul Riviere, Aaron M. Goodman, Ryosuke Okamura, Donald A. Barkauskas, Theresa J. Whitchurch, Suzanna Lee, Noor Khalid, Rachel Collier, Manvita Mareboina, Garrett M. Frampton, David Fabrizio, Andrew B. Sharabi, Shumei Kato, Razelle Kurzrock

2020Molecular Cancer Therapeutics103 citationsDOIOpen Access PDF

Abstract

Abstract Higher tumor mutational burden (TMB) has been correlated with response to checkpoint blockade immunotherapy. However, it is unclear whether TMB independently serves as a prognostic biomarker for outcomes in immunotherapy-naïve patients. Here, we evaluated the relationship between TMB and overall survival in 1,415 immunotherapy-naïve patients with diverse advanced malignancies. TMB was studied both as a tiered variable (low ≤5 mutations/Mb, intermediate >5 and <20, high ≥20 and <50, and very high ≥50) and as a continuous variable. Interestingly, we observed a parabolic correlation between TMB and overall survival, in which intermediate-range TMB correlated with decreased survival, whereas low and very high TMB correlated with improved outcomes (median survival: 238, 174, 195, and 350 weeks for low, intermediate, high, and very high TMB, respectively; multivariate P < 0.01). This corresponded to an HR of 1.29 (95% confidence interval, 1.07–1.54; P < 0.01) for intermediate-range TMB on multivariable survival analysis correcting for known confounders, including primary tumor of origin. These results demonstrate that TMB may have utility as a prognostic biomarker in immunotherapy-naïve patients, with a protective effect at higher TMBs, and that studies of survival in immunotherapy-treated patients may need to stratify or randomize by TMB in a nonlinear fashion to account for this confounding.

Topics & Concepts

ImmunotherapyConfoundingMedicineInternal medicineBiomarkerOncologyBlockadeConfidence intervalCancerProportional hazards modelCancer immunotherapySurvival analysisOverall survivalCancer researchBiologyReceptorGeneticsCancer Immunotherapy and BiomarkersCancer Genomics and DiagnosticsLung Cancer Treatments and Mutations