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Updated: Nov 26, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
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.
Introduction:
Identification of patients who can benefit from immune checkpoint blockade (ICB) therapy is key for improved clinical outcome. Recently, U.S. Food and Drug Administration approved tumor mutational burden (TMB) high (TMB-H or TMB ≥ 10) as a biomarker for pembrolizumab treatment of solid tumors. We intend to test the hypothesis that mutations in select genes may be a better predictor of NSCLC response to ICB therapy than TMB-H.
Methods:
We compiled a list of candidate genes that may predict for benefits from ICB treatment by use of data from a recently published cohort of 350 patients with NSCLC. We then evaluated the influences of different mutation signatures in the candidate genes on ICB efficacy. They were also compared with TMB-H. The predictive powers of different mutation signatures were then evaluated in an independent cohort of patients with NSCLC treated with ICB.
Results:
A compound mutation signature, in which two or more of the 52 candidate genes were mutated, accounted for 145 of 350 patients with NSCLC and was associated with considerable ICB treatment benefits. Specifically, the median duration of overall survival was 36 versus 8 months in NSCLC in those with two or more versus none of the 52 genes mutated. Moreover, those patients with the compound mutation signature but had low TMB (<10) achieved significant overall survival benefits when compared with those without the signature but had TMB-H (≥10). Finally, in an independent cohort of 156 patients with ICB-treated NSCLC, the median duration of progression-free survival was 8.3 months versus 3.5 months in those with the compound mutation signature versus those with none mutated in the 52 genes.
Conclusions:
A genetic signature with mutations in at least two of 52 candidate genes was superior than TMB-H in predicting clinical benefits for ICB therapy in patients with NSCLC.
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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