Development of a prognostic model for breast cancer patients based on intratumoral tumor-infiltrating lymphocytes using machine learning algorithms
Our prognostic model, founded on machining learning algorithms and anchored by an iTIL-centric signature, stands out as an invaluable tool for breast cancer patients, offering advanced prognostic insights and facilitating the development of personalized therapeutic strategies.
Authors
- Chun Li (ORCID: https://orcid.org/0000-0002-8819-2443)
- Xinyi Wu (ORCID: https://orcid.org/0009-0009-9933-7298)
Institutions
- Tongji University (CN)
- Shanghai Tenth People's Hospital (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1007/s12672-025-02585-1
- Citations
- 1
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- National Natural Science Foundation of China
- Shanghai Municipal Education Commission
- Tongji University