A Multi-Omics-Based Prognostic Model for Elderly Breast Cancer by Machine Learning: Insights From Hypoxia and Immunity of Tumor Microenvironment
The multiomics-based prognostic model developed for OABC showed clinical potential, and the findings highlight the critical role of hypoxia and the immune microenvironment in the prognosis of OABC. Further research is warranted to validate this model in larger cohorts and to explore its potential application in guiding personalized treatment strategies for OABC patients.
Authors
- Yan Lin (ORCID: https://orcid.org/0000-0002-0585-6671)
- Yu Qiu Song (ORCID: https://orcid.org/0000-0002-9525-2870)
- Qiang Sun (ORCID: https://orcid.org/0000-0002-2617-8777)
- Changjun Wang (ORCID: https://orcid.org/0000-0002-0339-7942)
- Yidong Zhou (ORCID: https://orcid.org/0000-0002-4439-1117)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Clinical Breast Cancer
- Published
- 2025-04-15
- DOI
- https://doi.org/10.1016/j.clbc.2025.04.008
- Citations
- 2
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 3.04