Identification of copper related biomarkers in breast cancer using machine learning.

Journal: Discover oncology
Published Date: Aug 6, 2025

Abstract

BACKGROUND: Breast cancer is the most prevalent and deadly cancer among women globally, necessitating more effective diagnostic and therapeutic approaches. This study aims to explore new treatment targets and diagnostic tools.

Authors

  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Haining Wang
    Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, 518045, China.
  • Zilan Li
    Department of Biochemistry, McGill University, Montreal, Quebec, Canada.
  • Qi Xu
    State Key Lab of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450052, China.
  • Yiwei Yang
    Department of Chinese and Western clinical medicine, Hubei University of Chinese Medicine, Wuhan, 430065, China.
  • Run Shi
    Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Feng Liu
    Department of Vascular and Endovascular Surgery, The First Medical Center of Chinese PLA General Hospital, 100853 Beijing, China.
  • Shiyang Jin
    Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin, 150040, China. jinshiyang@hrbmu.edu.cn.

Keywords

No keywords available for this article.

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