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.
Authors
- Runbo Zhong (ORCID: https://orcid.org/0000-0003-4616-1224)
- Wei Nie
- Baohui Han (ORCID: https://orcid.org/0009-0002-3777-2621)
- Jun Lu (ORCID: https://orcid.org/0000-0002-9347-7793)
- Ying Li (ORCID: https://orcid.org/0000-0002-3506-1255)
- Xueyan Zhang (ORCID: https://orcid.org/0000-0001-7212-3593)
- Hua Zhong (ORCID: https://orcid.org/0009-0003-2680-8497)
- Liang Zheng (ORCID: https://orcid.org/0000-0002-1464-9500)
- Wei Zhang (ORCID: https://orcid.org/0000-0003-2118-6353)
- Lei Cheng (ORCID: https://orcid.org/0000-0002-4204-8462)
- Tianqing Chu (ORCID: https://orcid.org/0000-0002-1383-0383)
- Ling Yang (ORCID: https://orcid.org/0000-0002-6698-1214)
- Bo Zhang (ORCID: https://orcid.org/0000-0002-3020-5168)
- Yinchen Shen (ORCID: https://orcid.org/0000-0002-1214-711X)
- Meili Ma (ORCID: https://orcid.org/0000-0002-8049-9467)
- Shuyuan Wang (ORCID: https://orcid.org/0000-0002-1232-821X)
- Fang Hu (ORCID: https://orcid.org/0000-0001-9378-0699)
- Xiaoxuan Zheng (ORCID: https://orcid.org/0009-0006-5986-0365)
- Jianlin Xu
Institutions
- 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)
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
Funders
- Shanghai Municipal Health Commission
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality
- Shanghai Chest Hospital