Artificial intelligence-assisted RNA-binding protein signature for prognostic stratification and therapeutic guidance in breast cancer
The AIRS model offers a robust tool for BC prognosis and treatment stratification, integrating genomic, transcriptomic, and single-cell data. It provides actionable insights for personalized therapy, paving the way for improved clinical outcomes. Future studies should validate findings across diverse populations and expand functional analyses.
Authors
- Shuqi Yuan
- Zhaogen Cai
- Z. X. Meng
- Li Li (ORCID: https://orcid.org/0000-0002-4102-4792)
- Xiaonan Zhang (ORCID: https://orcid.org/0000-0003-0155-776X)
- Yijing Zhang (ORCID: https://orcid.org/0000-0001-9568-9389)
- Jiayi Xu (ORCID: https://orcid.org/0000-0002-3916-0699)
- Yunxia Zhao
- Tao Wang (ORCID: https://orcid.org/0000-0003-4140-8734)
Institutions
- Bengbu Medical College (CN)
- Anqing City Hospital (CN)
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-04-16
- DOI
- https://doi.org/10.3389/fimmu.2025.1583103
- Citations
- 3
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 4.56