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Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes.

Xiaonan Zhang | Li Li | Xiaoyu Shi | Yunxia Zhao | Zhaogen Cai | Ni Ni | Di Yang | Zixin Meng | Xu Gao | Li Huang | Tao Wang
Frontiers in immunology | 2025

Breast cancer, a highly prevalent global cancer, poses significant challenges, especially in advanced stages. Prognostic models are crucial to enhance patient outcomes. Tertiary lymphoid structures (TLS) within the tumor microenvironment have been associated with better prognostic outcomes.

Pubmed ID: 40078998

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