Metabolomic machine learning-based model predicts efficacy of chemoimmunotherapy for advanced lung squamous cell carcinoma

Metabolomic machine learning-based model predicts efficacy of chemoimmunotherapy for advanced lung squamous cell carcinoma

BackgroundUnlike lung adenocarcinoma, patients with advanced squamous carcinoma exhibit a low proportion of driver gene positivity, with fewer effective treatment strategies available. Chemoimmunotherapy has now become the standard first-line treatment for individuals diagnosed with advanced lung sq...

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Bibliographic Details
Main Authors: Liang Zheng, Wei Nie, Shuyuan Wang, Ling Yang, Fang Hu, Meili Ma, Lei Cheng, Jun Lu, Bo Zhang, Jianlin Xu, Ying Li, Yinchen Shen, Wei Zhang, Runbo Zhong, Tianqing Chu, Baohui Han, Xiaoxuan Zheng, Hua Zhong, Xueyan Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Immunology
Subjects:
metabolomics
machine learning
chemoimmunotherapy
predictive model
tumor biomarkers
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1545976/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2025.1545976/full

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