Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes
The TLS-based prognostic model is a robust tool for predicting breast cancer outcomes, highlighting the tumor microenvironment's role in cancer progression. It enhances our understanding of breast cancer biology and supports personalized therapeutic strategies.
Authors
- Zhaogen Cai
- Z. X. Meng
- Di Yang (ORCID: https://orcid.org/0000-0003-1145-2371)
- Xiaonan Zhang (ORCID: https://orcid.org/0000-0002-3016-5020)
- Xiaoyu Shi
- Li Huang (ORCID: https://orcid.org/0000-0003-4533-5149)
- Ni Ni (ORCID: https://orcid.org/0000-0003-2692-3244)
- Li Li (ORCID: https://orcid.org/0009-0008-0993-8296)
- Tao Wang (ORCID: https://orcid.org/0009-0005-5712-1799)
- Xu Gao
- Yunxia Zhao
Institutions
- Bengbu Medical College (CN)
- Guizhou Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-02-26
- DOI
- https://doi.org/10.3389/fimmu.2025.1534928
- Citations
- 3
- Primary Topic
- Cancer Genomics and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 2.81