A Gene Mutation Signature Predicting Immunotherapy Benefits in Patients With NSCLC

Dong Pan1, Angela Y Hu2, Scott J Antonia3

  • 1Department of Dermatology, Duke University Medical Center, Durham, North Carolina.

Abstract

Insights

A new genetic signature, involving mutations in at least two of 52 genes, better predicts immune checkpoint blockade (ICB) therapy response in non-small cell lung cancer (NSCLC) than high tumor mutational burden (TMB-H). This finding offers a more precise approach to identifying patients who will benefit from ICB treatment.

Area of Science:

  • Oncology
  • Genetics
  • Immunotherapy

Background:

  • Identifying patients who benefit from immune checkpoint blockade (ICB) therapy is crucial for improving clinical outcomes.
  • Tumor mutational burden (TMB) high (TMB-H) is an FDA-approved biomarker for pembrolizumab treatment in solid tumors.
  • The predictive accuracy of TMB-H for ICB response in non-small cell lung cancer (NSCLC) can be limited.

Purpose of the Study:

  • To test the hypothesis that mutations in select genes are superior predictors of NSCLC response to ICB therapy compared to TMB-H.
  • To identify a novel genetic signature for predicting ICB efficacy in NSCLC patients.

Main Methods:

  • A list of candidate genes was compiled from a cohort of 350 NSCLC patients.
  • Mutation signatures in these candidate genes were evaluated for their influence on ICB efficacy and compared with TMB-H.
  • The predictive power of these signatures was validated in an independent cohort of 156 ICB-treated NSCLC patients.

Main Results:

  • A compound mutation signature (mutations in ≥2 of 52 candidate genes) identified 145 patients and was associated with significant ICB benefits.
  • Patients with the compound signature had a median overall survival of 36 months versus 8 months for those without.
  • This signature also demonstrated predictive superiority over TMB-H, even in patients with low TMB (<10) but the signature, compared to those with TMB-H (≥10) but without the signature.

Conclusions:

  • A genetic signature comprising mutations in at least two of 52 candidate genes is a more effective predictor of clinical benefits from ICB therapy in NSCLC than TMB-H.
  • This novel signature offers a more precise approach to patient selection for ICB treatment.
  • Further validation in larger cohorts may refine its clinical utility.

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