Cuproptosis facilitates immune activation but promotes immune escape, and a machine learning-based cuproptosis-related signature is identified for predicting prognosis and immunotherapy response of gliomas.

Abstract

Authors

• Shi Feng
  Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, China.
• Yonggang Zhang
  Department of Radiology, The First People's Hospital of Lianyungang, Lianyungang Clinical College of Nanjing Medical University, Lianyungang, China.
• Hua Zhu
  School of Kinesiology, Shanghai University of Sport Shanghai, China.
• Zhihong Jian
  Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
• Zhi Zeng
  Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, China.
• Yingze Ye
  Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
• Yina Li
  Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, China.
• Daniel Smerin
  Department of Neurosurgery, University of Texas Health Science Center at San Antonio, San Antonio, Texas, USA.
• Xu Zhang
  China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
• Ning Zou
  Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
• Lijuan Gu
  Department of Anesthesiology, Renmin Hospital of Wuhan University, Wuhan, China.
• Xiaoxing Xiong
  Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.

Keywords

External Resources