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◆ Clinical and Translational Medicine2026-01-01· Medicine

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

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

原始摘要(英文原文)· Original abstract
BACKGROUND: Neoadjuvant anti-programmed cell death 1 (PD-1) immunochemotherapy has shown promising efficiency in the treatment of early-stage non-small-cell lung cancer (NSCLC), but it has not consistently yielded durable responses. Biomarkers for the prediction of efficacy are warranted. METHODS: We performed shotgun metagenomic and plasma/faecal metabolomic studies in 44 NSCLC patients who underwent neoadjuvant tislelizumab plus platinum-based doublet chemotherapy. Samples were collected at baseline and before surgical resection, and the major pathologic response (MPR) was evaluated. RESULTS: MPR patients showed a significantly higher gut-microbial alpha diversity, an enrichment of Ruminococcaceae, Lachnospiraceae and Clostridiales species, and an increased plasma level of tryptophan metabolites at baseline. On the contrary, non-MPR patients were characterized by enrichment of Prevotella species in faecal samples and higher plasma levels of linoleic acid metabolites. A high predictive accuracy was achieved using a small panel of differential microbial (Clostridium sp. M62/1 and Eisenbergiella tayi) or metabolomic features (linoleic acid, oxindole-3-acetic acid and quinolinic acid) with AUCs > .85. CONCLUSIONS: The baseline characteristics of the gut microbiota and plasma metabolites could provide early predictions of the response to neoadjuvant anti-PD-1 immunochemotherapy. TRIAL REGISTRATION: NCT05244837. KEY POINTS: 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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Baseline multi‐omics signatures could predict therapeutic response to neoadjuvant anti‐PD‐1 immunochemotherapy in non‐small‐cell lung cancer — 科研速览 Science Skim