Tissue-specific thresholds of mutation burden associated with anti-PD-1/L1 therapy benefit and prognosis in microsatellite-stable cancers

  • Maishara Muquith
  • , Magdalena Espinoza
  • , Andrew Elliott
  • , Joanne Xiu
  • , Andreas Seeber
  • , Wafik El-Deiry
  • , Emmanuel S. Antonarakis
  • , Stephanie L. Graff
  • , Michael J. Hall
  • , Hossein Borghaei
  • , Dave S.B. Hoon
  • , Stephen V. Liu
  • , Patrick C. Ma
  • , Rana R. McKay
  • , Trisha Wise-Draper
  • , John Marshall
  • , George W. Sledge
  • , David Spetzler
  • , Hao Zhu
  • , David Hsiehchen

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Immune checkpoint inhibitors (ICIs) targeting programmed cell death protein 1 or its ligand (PD-1/L1) have expanded the treatment landscape against cancers but are effective in only a subset of patients. Tumor mutation burden (TMB) is postulated to be a generic determinant of ICI-dependent tumor rejection. Here we describe the association between TMB and survival outcomes among microsatellite-stable cancers in a real-world clinicogenomic cohort consisting of 70,698 patients distributed across 27 histologies. TMB was associated with survival benefit or detriment depending on tissue and treatment context, with eight cancer types demonstrating a specific association between TMB and improved outcomes upon treatment with anti-PD-1/L1 therapies. Survival benefits were noted over a broad range of TMB cutoffs across cancer types, and a dose-dependent relationship between TMB and outcomes was observed in a subset of cancers. These results have implications for the use of cancer-agnostic and universal TMB cutoffs to guide the use of anti-PD-1/L1 therapies, and they underline the importance of tissue context in the development of ICI biomarkers.

Original languageEnglish (US)
Pages (from-to)1121-1129
Number of pages9
JournalNature Cancer
Volume5
Issue number7
DOIs
StatePublished - Jul 2024

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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