A serum metabolite-based machine learning model predicts response to neoadjuvant immunotherapy in mismatch repair-deficient colorectal cancer
This study provides the first systematic characterization of metabolic reprogramming in dMMR colorectal cancer with different response to immunotherapy, and establishes a non-invasive, high-precision predictive tool that offers a new basis for individualized therapeutic decision-making.
Authors
- Fan Bai (ORCID: https://orcid.org/0009-0005-8966-6451)
- Guojie Long
- Junfeng Jiang (ORCID: https://orcid.org/0000-0003-0393-8451)
- W Pan
- Ziyang Zeng
- Yuxi Pan
- Tao Ma
- Hao Zhang
- Weili Zhang
- Xiuwei Mi
- Tuo Hu
Institutions
- Sun Yat-sen University (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2026-02-19
- DOI
- https://doi.org/10.3389/fonc.2026.1730155
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00