Circulating genomic biomarkers predict chemoradiotherapy resistance and immunotherapy response in locally advanced non‐small‐cell lung cancer

Abstract Predicting the effect of consolidation immunotherapy after chemoradiotherapy (CRT) for unresectable locally advanced non‐small‐cell lung cancer (LA‐NSCLC) patients remains a challenge, given the restricted sensitivity of single circulating tumor DNA (ctDNA) molecular residual disease (MRD) detection. In this study, 384 longitudinal blood samples from 160 patients with LA‐NSCLC undergoing CRT ± consolidation immunotherapy, tumor tissue whole‐genome or whole‐exome sequencing (WGS/WES) from 421 LA‐NSCLC patients treated with radiotherapy, and RNA‐sequencing data from 1149 subjects are analyzed. Pretreatment ctDNA‐based STK11(LKB1)/KEAP1 mutations are associated with poor prognosis and resistance to CRT but suggest benefits from consolidation immunotherapy after CRT. WGS/WES data confirm that STK11/KEAP1 ‐mutated tumors are radiotherapy‐resistant. RNA‐sequencing reveals an immunosuppressive tumor microenvironment for STK11/KEAP1 ‐mutated patients, characterized by strikingly decreased Th17 cells through the IL‐17 signaling downregulation, which could cause impaired response to upfront CRT but improved immunotherapy response after radiotherapy‐activated immunity. Predictive performance with individual ctDNA‐MRD detection is limited, while combining baseline STK11/KEAP1 mutations with ctDNA‐MRD effectively enhances prediction sensitivity, particularly in MRD‐negative patients. Integrating genomics with liquid biopsies could inform personalized and risk‐adaptive therapeutic decisions on consolidation immunotherapy.

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Publication Details

Journal
Open Research (University of Surrey)
Published
2025-05-14
DOI
https://doi.org/10.1002/viw.20240145
Citations
2
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
1.87

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article

Circulating genomic biomarkers predict chemoradiotherapy resistance and immunotherapy response in locally advanced non‐small‐cell lung cancer

Jianyang Wang, Yu Wang, Lühua Wang, Hong Ge et al.
2 citations
Open Research (University of Surrey)
Cancer Genomics and Diagnostics
1.87
article

Circulating genomic biomarkers predict chemoradiotherapy resistance and immunotherapy response in locally advanced non‐small‐cell lung cancer

Jianyang Wang, Yu Wang, Lühua Wang, Hong Ge, Wenyang Liu, Lei Deng, Nan Bi, Tao Zhang, Ying Jiang, Jinghao Duan, Cong Li
article en
2 citations

Abstract

Abstract Predicting the effect of consolidation immunotherapy after chemoradiotherapy (CRT) for unresectable locally advanced non‐small‐cell lung cancer (LA‐NSCLC) patients remains a challenge, given the restricted sensitivity of single circulating tumor DNA (ctDNA) molecular residual disease (MRD) detection. In this study, 384 longitudinal blood samples from 160 patients with LA‐NSCLC undergoing CRT ± consolidation immunotherapy, tumor tissue whole‐genome or whole‐exome sequencing (WGS/WES) from 421 LA‐NSCLC patients treated with radiotherapy, and RNA‐sequencing data from 1149 subjects are analyzed. Pretreatment ctDNA‐based STK11(LKB1)/KEAP1 mutations are associated with poor prognosis and resistance to CRT but suggest benefits from consolidation immunotherapy after CRT. WGS/WES data confirm that STK11/KEAP1 ‐mutated tumors are radiotherapy‐resistant. RNA‐sequencing reveals an immunosuppressive tumor microenvironment for STK11/KEAP1 ‐mutated patients, characterized by strikingly decreased Th17 cells through the IL‐17 signaling downregulation, which could cause impaired response to upfront CRT but improved immunotherapy response after radiotherapy‐activated immunity. Predictive performance with individual ctDNA‐MRD detection is limited, while combining baseline STK11/KEAP1 mutations with ctDNA‐MRD effectively enhances prediction sensitivity, particularly in MRD‐negative patients. Integrating genomics with liquid biopsies could inform personalized and risk‐adaptive therapeutic decisions on consolidation immunotherapy.

Open Research (University of Surrey)Vol. 6(3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Zhengzhou University (CN)
National Natural Science Foundation of China, Peking Union Medical College, Bijzonder Onderzoeksfonds UGent
Openalex Percentile: Top 15%
Cancer Genomics and Diagnostics
1.87
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