Real-world survival analysis by tumor mutational burden in non-small cell lung cancer: A multisite U.S. study

Connor Willis, Hillevi Bauer, Trang H. Au, Jyothi Menon, Sudhir Unni, Dao Tran, Zachary Rivers, Wallace Akerley, Matthew B. Schabath, Firas Badin, Ashley Sekhon, Malini Patel, Bing Xia, Beth Gustafson, John L. Villano, John Michael Thomas, Solomon J. Lubinga, Michael A. Cantrell, Diana Brixner, David Stenehjem

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Tumor mutational burden (TMB) is a potential biomarker to predict tumor response to immuno-oncology agents in patients with metastatic non-small cell lung cancer (NSCLC). Materials and Methods: A multi-site cohort study evaluated patients diagnosed with stage IV NSCLC between 2012 and 2019 who had received comprehensive genomic profiling (CGP) and any NSCLC-related treatment at 9 U.S. cancer centers. Baseline characteristics and clinical outcomes were compared between patients with TMB <10 and TMB ≥10. Results: Among the 667 patients with CGP results, most patients received CGP from Foundation Medicine (64%) or Caris (20%). Patients with TMB ≥10 (vs. TMB <10) were associated with a positive smoking history. TMB was associated with ALK (p = 0.01), EGFR (p < 0.01), and TP53 (p < 0.05) alterations. TMB >10 showed a significant association towards longer overall survival (OS) (HR: 0.43, 95% CI: 0.21. 0.88, p = 0.02) and progression-free survival (PFS) (HR: 0.43, 95% CI: 0.21.0.85, p = 0.02) in patients treated with first-line immunotherapy and tested by Foundation Medicine or Caris at treatment initiation. Conclusions: TMB levels greater than or equal to 10 mut/Mb, when tested by Foundation Medicine or Caris at treatment initiation, were significantly associated with improved OS and PFS among patients treated with first-line immunotherapy containing regimens. Additional prospective research is warranted to validate this biomarker along with PD-L1 expression.

Original languageEnglish (US)
Pages (from-to)257-270
Number of pages14
JournalOncotarget
Volume13
DOIs
StatePublished - Jan 31 2022

Bibliographical note

Publisher Copyright:
© 2022 Willis et al.

Keywords

  • Immunotherapy
  • Lung neoplasma
  • Tumor biomarkers

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