Tumor‐Informed ctDNA in Guiding First‐Line Immunochemotherapy in Advanced Non‐Small Cell Lung Cancers

Predictive biomarkers are urgently needed for first-line immune checkpoint inhibitors plus chemotherapy (ICI-chemo) in advanced non-small cell lung cancer (NSCLC). Circulating tumor DNA (ctDNA) reflects tumor burden and immunogenicity, potentially identifyinging of patients suitable for ICI-chemo. In this study, pre- and on - treatment tissue and plasma samples are prospectively collected and analyzed from the randomized phase III CHOICE-01 trial comparing ICI - chemo versus chemotherapy alone in advanced NSCLC. Pre-treatment tissue and plasma samples, as well as on-treatment plasma samples, are prospectively collected. Tumor-informed ctDNA detection is based on tissue-identified mutations. Among patients with tumor-informed ctDNA positivity, those receiving ICI-chemo experienced significantly improved-free survival (PFS) and overall survival (OS) compared to those receiving chemotherapy alone (PFS: HR 0.45, 95% CI 0.34-0.60; OS: HR 0.66, 95% CI 0.49-0.88; p = 0.0045). In contrast, no significant differences in PFS or OS are observed between treatment arms in the ctDNA-negative subgroup. The predictive value of tumor-informed ctDNA is independent of other immune biomarkers and superior to other ctDNA metrics. Validation in a combined cohort from RATIONALE 304/307 trials shows similar results. Furthermore, ctDNA clearance during treatment correlates with better clinical outcomes (log-rank p = 0.0004 for OS and p = 0.044 for PFS).

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Journal
Advanced Science
Published
2025-11-25
DOI
https://doi.org/10.1002/advs.202506565
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

Tumor‐Informed ctDNA in Guiding First‐Line Immunochemotherapy in Advanced Non‐Small Cell Lung Cancers

Wenchuan Xie, Jiachen Xu, Wei Guo, Qinxiang Guo et al.
Advanced Science
Cancer Genomics and Diagnostics
article

Tumor‐Informed ctDNA in Guiding First‐Line Immunochemotherapy in Advanced Non‐Small Cell Lung Cancers

Wenchuan Xie, Jiachen Xu, Wei Guo, Qinxiang Guo, Yu Xu, Kailun Fei, Jianchun Duan, Hua Bai, Guoqiang Wang, Chengcheng Li, Zhijie Wang, Jie Wang, Jia Zhong, Jie Zhao, Boyang Sun, Rui Wan, Shangli Cai
article en

Abstract

Predictive biomarkers are urgently needed for first-line immune checkpoint inhibitors plus chemotherapy (ICI-chemo) in advanced non-small cell lung cancer (NSCLC). Circulating tumor DNA (ctDNA) reflects tumor burden and immunogenicity, potentially identifyinging of patients suitable for ICI-chemo. In this study, pre- and on - treatment tissue and plasma samples are prospectively collected and analyzed from the randomized phase III CHOICE-01 trial comparing ICI - chemo versus chemotherapy alone in advanced NSCLC. Pre-treatment tissue and plasma samples, as well as on-treatment plasma samples, are prospectively collected. Tumor-informed ctDNA detection is based on tissue-identified mutations. Among patients with tumor-informed ctDNA positivity, those receiving ICI-chemo experienced significantly improved-free survival (PFS) and overall survival (OS) compared to those receiving chemotherapy alone (PFS: HR 0.45, 95% CI 0.34-0.60; OS: HR 0.66, 95% CI 0.49-0.88; p = 0.0045). In contrast, no significant differences in PFS or OS are observed between treatment arms in the ctDNA-negative subgroup. The predictive value of tumor-informed ctDNA is independent of other immune biomarkers and superior to other ctDNA metrics. Validation in a combined cohort from RATIONALE 304/307 trials shows similar results. Furthermore, ctDNA clearance during treatment correlates with better clinical outcomes (log-rank p = 0.0004 for OS and p = 0.044 for PFS).

Advanced ScienceVol. 12(48)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US), Shanxi Provincial Cancer Hospital (CN), Burning Rock Biotech (China) (CN), Cancer Hospital of Chinese Academy of Medical Sciences (CN)
BeiGene, Peking Union Medical College, National Science and Technology Major Project, Major Research Plan, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 56%
Cancer Genomics and Diagnostics
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