Integration of Bioinformatics and Machine Learning to Identify CD8+ T Cell-Related Prognostic Signature to Predict Clinical Outcomes and Treatment Response in Breast Cancer Patients
This study establishes a robust CD8+ T cell-related prognostic signature, providing new insights for predicting the clinical outcomes and treatment responses of breast cancer patients.
Authors
- Longhui Li
- Jinfeng Zhao (ORCID: https://orcid.org/0000-0003-3965-7125)
- Longpeng Li
- Yinghua Chen (ORCID: https://orcid.org/0000-0003-2295-7228)
- Yue Guan
- Baoai Wu (ORCID: https://orcid.org/0009-0003-9394-8641)
Institutions
- Shanxi University (CN)
- Capital University of Physical Education and Sports (CN)
Publication Details
- Journal
- Genes
- Published
- 2024-08-19
- DOI
- https://doi.org/10.3390/genes15081093
- Citations
- 4
- Primary Topic
- Cancer Immunotherapy and Biomarkers
- Type
- article
- Field-Weighted Citation Impact
- 1.13