Baseline multi‐omics signatures could predict therapeutic response to neoadjuvant anti‐PD‐1 immunochemotherapy in non‐small‐cell lung cancer

Baseline metagenomic and metabolomic signatures were significantly associated with the major pathologic response of neoadjuvant anti-PD-1 immunochemotherapy. Integrated microbial model (consists of Clostridium sp. M62/1 and Eisenbergiella tayi) and metabolomic model (consists of linoleic acid, oxindole-3-acetic acid and quinolinic acid) could provide early predictions of the response.

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Publication Details

Journal
Clinical and Translational Medicine
Published
2026-01-01
DOI
https://doi.org/10.1002/ctm2.70579
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00

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article

Baseline multi‐omics signatures could predict therapeutic response to neoadjuvant anti‐PD‐1 immunochemotherapy in non‐small‐cell lung cancer

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Clinical and Translational Medicine
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Baseline multi‐omics signatures could predict therapeutic response to neoadjuvant anti‐PD‐1 immunochemotherapy in non‐small‐cell lung cancer

Wenyu Zhai, H. Long, Shaoxing Guan, Yuheng Zhou, Ailing Cao, Yaobin Lin, Yanping Guan, Shoucheng Feng, Xueding Wang, Youhao Chen, Yiyu Zhang, Min Huang
article en

Abstract

Baseline metagenomic and metabolomic signatures were significantly associated with the major pathologic response of neoadjuvant anti-PD-1 immunochemotherapy. Integrated microbial model (consists of Clostridium sp. M62/1 and Eisenbergiella tayi) and metabolomic model (consists of linoleic acid, oxindole-3-acetic acid and quinolinic acid) could provide early predictions of the response.

Clinical and Translational MedicineVol. 16(1)
Sun Yat-sen University (CN), Sun Yat-sen University Cancer Center (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province, Higher Education Discipline Innovation Project, National Health Commission of the People's Republic of China, National Key Research and Development Program of China
Openalex Percentile: Top 96%
Cancer Immunotherapy and Biomarkers
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