A tumor-infiltrating B lymphocytes -related index based on machine-learning predicts prognosis and immunotherapy response in lung adenocarcinoma
Our study developed a BRI model using ten different algorithms and 101 algorithm combinations. The BRI could be a valuable tool for risk stratification, prognosis, and selection of treatment approaches.
Authors
- Xin Lv (ORCID: https://orcid.org/0000-0002-3352-7162)
- Wei Wang (ORCID: https://orcid.org/0000-0001-5850-9107)
- Yukun Wang (ORCID: https://orcid.org/0000-0002-6096-9927)
- Siyuan Yu (ORCID: https://orcid.org/0009-0002-6586-6772)
- Xiaomin Han
- Fang Zhou (ORCID: https://orcid.org/0000-0002-7955-6014)
- Jiaqi Jin (ORCID: https://orcid.org/0000-0001-6275-4623)
- Jiang Fang
- Cheng Liu
Institutions
- Southern University of Science and Technology (CN)
- Baotou Medical College (CN)
- Air Force Medical University (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-03-24
- DOI
- https://doi.org/10.3389/fimmu.2025.1524120
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Southern University of Science and Technology