Exploring a mutation-based signature to predict the benefits of immune checkpoint inhibitors in oncogene-addicted subsets of non-small cell lung cancer: a retrospective study

The mutation-based signature established herein represents a robust biomarker for identifying patients with advanced NSCLCs who are most likely to benefit from ICB therapy, including those with targetable oncogene alterations.

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Publication Details

Journal
Respiratory Research
Published
2025-11-22
DOI
https://doi.org/10.1186/s12931-025-03429-w
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring a mutation-based signature to predict the benefits of immune checkpoint inhibitors in oncogene-addicted subsets of non-small cell lung cancer: a retrospective study

Zhilin Sui, Songhua Cai, Boying Xiao, Wenyan Kang et al.
Respiratory Research
Cancer Immunotherapy and Biomarkers
article

Exploring a mutation-based signature to predict the benefits of immune checkpoint inhibitors in oncogene-addicted subsets of non-small cell lung cancer: a retrospective study

Zhilin Sui, Songhua Cai, Boying Xiao, Wenyan Kang, Jing Huang, Chujian Huang, Ran Jia, Jinsong Lei, Youjun Deng
article en

Abstract

The mutation-based signature established herein represents a robust biomarker for identifying patients with advanced NSCLCs who are most likely to benefit from ICB therapy, including those with targetable oncogene alterations.

Respiratory ResearchVol. 26(1)
Sun Yat-sen University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US), Sun Yat-sen University Cancer Center (CN)
Openalex Percentile: Top 51%
Cancer Immunotherapy and Biomarkers
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Exploring a mutation-based signature to predict the benefits of immune checkpoint inhibitors in oncogene-addicted subsets of non-small cell lung cancer: a retrospective study — Zhilin Sui, Songhua Cai, et al. · Respiratory Research (2025) | TGRS Research Map | TGRS