Artificial intelligence-assisted RNA-binding protein signature for prognostic stratification and therapeutic guidance in breast cancer.

Journal: Frontiers in immunology
PMID: 40308601

Abstract

BACKGROUND: Breast cancer is the most common malignancy in women globally, with significant heterogeneity affecting prognosis and treatment. RNA-binding proteins play vital roles in tumor progression, yet their prognostic potential remains unclear. This study introduces an Artificial Intelligence-Assisted RBP Signature (AIRS) model to improve prognostic accuracy and guide personalized treatment.

Authors

  • Yunxia Zhao
    Department of Pathophysiology, Bengbu Medical University, Longzihu, Bengbu, Anhui, 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.
  • Shuqi Yuan
    Department of Rheumatology and Immunology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
  • Zixin Meng
    School of Clinical Medicine, Bengbu Medical University, Longzihu, Bengbu, Anhui, China.
  • Jiayi Xu
    Department of Radiotherapy Center, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zhaogen Cai
    Department of Pathology, Bengbu Medical University, Longzihu, Bengbu, Anhui, China.
  • Yijing Zhang
  • Xiaonan Zhang
    Department of Natural Language Processcing, Baidu International Technology (Shenzhen) Co., Ltd, Shenzhen 518000, China.
  • Tao Wang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

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