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

We developed a model containing 8 metabolites based on metabolomics and machine learning that may predict survival outcomes in patients with advanced lung squamous cell carcinoma undergoing chemoimmunotherapy, helping to more accurately assess efficacy and prognosis in clinical practice.

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Publication Details

Journal
Frontiers in Immunology
Published
2025-04-02
DOI
https://doi.org/10.3389/fimmu.2025.1545976
Citations
2
Primary Topic
Lung Cancer Treatments and Mutations
Type
article
Field-Weighted Citation Impact
3.04

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article

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

Runbo Zhong, Wei Nie, Baohui Han, Jun Lu et al.
2 citations
Frontiers in Immunology
Lung Cancer Treatments and Mutations
3.04
article

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

Runbo Zhong, Wei Nie, Baohui Han, Jun Lu, Ying Li, Xueyan Zhang, Hua Zhong, Liang Zheng, Wei Zhang, Lei Cheng, Tianqing Chu, Ling Yang, Bo Zhang, Yinchen Shen, Meili Ma, Shuyuan Wang, Fang Hu, Xiaoxuan Zheng, Jianlin Xu
article en
2 citations

Abstract

We developed a model containing 8 metabolites based on metabolomics and machine learning that may predict survival outcomes in patients with advanced lung squamous cell carcinoma undergoing chemoimmunotherapy, helping to more accurately assess efficacy and prognosis in clinical practice.

Frontiers in ImmunologyVol. 16
Shanghai Jiao Tong University (CN), Shanghai Chest Hospital (CN), Zhejiang Cancer Hospital (CN), Hangzhou Academy of Agricultural Sciences (CN), Cancer Hospital of Chinese Academy of Medical Sciences (CN)
Shanghai Municipal Health Commission, National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Chest Hospital
Openalex Percentile: Top 10%
Lung Cancer Treatments and Mutations
3.04
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