Analysis of prognostic factors and nomogram construction for postoperative survival of triple-negative breast cancer
The findings emphasize the clinical utility of AI-driven models in improving TNBC prognosis and guiding personalized treatment strategies. This study provides novel insights into the survival dynamics of TNBC patients and underscores the potential of predictive analytics in oncology.
Authors
- Yangkun Shen (ORCID: https://orcid.org/0000-0001-5135-427X)
- Jinyun Wu
- Weiwei Huang (ORCID: https://orcid.org/0000-0002-9947-4083)
- Chenxi Wang (ORCID: https://orcid.org/0000-0002-1813-4299)
- Qi Chen (ORCID: https://orcid.org/0000-0001-7485-0428)
- Jizhen Lin
- Xiangqian Zhao
- Dawei Wang (ORCID: https://orcid.org/0009-0005-6599-3300)
Institutions
- Fujian Normal University (CN)
- Fujian Medical University (CN)
- Fujian Provincial Cancer Hospital (CN)
- Union Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.3389/fimmu.2025.1561563
- Citations
- 3
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.81
Funders
- Natural Science Foundation of Fujian Province
- Wu Jieping Medical Foundation