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

Maishara Muquith1, Magdalena Espinoza2, Andrew Elliott3

  • 1Division of Hematology and Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Nature Cancer
|March 26, 2024
PubMed

Insights

Immune checkpoint inhibitors (ICIs) show varied effectiveness. Tumor mutation burden (TMB) impacts survival outcomes in microsatellite-stable cancers, with specific associations noted in eight cancer types when treated with anti-PD-1/L1 therapies.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Immune checkpoint inhibitors (ICIs) targeting PD-1/L1 have advanced cancer treatment but benefit only a fraction of patients.
  • Tumor mutation burden (TMB) is a proposed biomarker for ICI efficacy.
  • Understanding TMB's role in diverse cancers is crucial for optimizing immunotherapy.

Purpose of the Study:

  • To investigate the association between TMB and survival outcomes in microsatellite-stable cancers within a large, real-world cohort.
  • To identify specific cancer types where TMB correlates with response to anti-PD-1/L1 therapies.
  • To evaluate the utility of universal TMB cutoffs for guiding ICI treatment decisions.

Main Methods:

  • Analysis of a real-world clinicogenomic dataset comprising 70,698 patients across 27 histologies.
  • Assessment of microsatellite-stable cancers.
  • Correlation of TMB levels with survival outcomes in patients treated with anti-PD-1/L1 therapies.

Main Results:

  • TMB demonstrated context-dependent associations with survival, indicating both benefit and detriment.
  • Eight cancer types showed a significant link between TMB and improved outcomes with anti-PD-1/L1 treatment.
  • Survival benefits were observed across various TMB thresholds, with a dose-dependent relationship in some cancers.

Conclusions:

  • The impact of TMB on ICI efficacy is highly dependent on cancer type and treatment context.
  • Cancer-specific TMB assessments are more informative than universal cutoffs for guiding anti-PD-1/L1 therapy.
  • Tissue context is critical for developing robust ICI biomarkers.

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