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

Abstract

Authors

• Xiaonan Zhang
  Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
• Li Li
  Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
• Xiaoyu Shi
  Department of Pathophysiology, Bengbu Medical University, Bengbu, Anhui, China.
• Yunxia Zhao
  Department of Pathophysiology, Bengbu Medical University, Longzihu, Bengbu, Anhui, China.
• Zhaogen Cai
  Department of Pathology, Bengbu Medical University, Longzihu, Bengbu, Anhui, China.
• Ni Ni
  School of Clinical Medicine, Bengbu Medical University, Bengbu, Anhui, China.
• Di Yang
  Clinical and Research Center of AIDS, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
• Zixin Meng
  School of Clinical Medicine, Bengbu Medical University, Longzihu, Bengbu, Anhui, China.
• Xu Gao
  National Research Base of Intelligent Manufacturing Service, School of Management Science and Engineering, Chongqing Technology and Business University, Chongqing, 400067, China; Chongqing Water Group Co. Ltd., Chongqing, 400042, China. Electronic address: hughgao@outlook.com.
• Li Huang
  National Research Center for Resettlement (NRCR), Hohai University, 1 Xikang Road, Nanjing 210098, China. lily8214@hhu.edu.cn.
• Tao Wang
  Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Keywords

External Resources