G2M-checkpoint related immune barrier structure and signature for prognosis and immunotherapy response in hepatocellular carcinoma: insights from spatial transcriptome and machine learning.

Abstract

Authors

• Xingte Chen
  Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
• Shiji Wu
  Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
• Hongxin He
  Center for Systems Biology, Soochow University, Suzhou 215006, Jiangsu, China.
• Jingjing Tang
  School of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China. Electronic address: tangjingjing13@mails.ucas.ac.cn.
• Yaqi Zhong
  Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
• Huipeng Fang
  Department of General Surgery, Affiliated Fuzhou First Hospital of Fujian Medical University, Fuzhou, China.
• Qizhen Huang
  Department of Radiation Oncology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China.
• Liang Hong
  Department of Computer Science and Engineering, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR 999077, China.
• Lingdong Shao
  Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University Fujian Cancer Hospital, (Fujian Branch of Fudan University Shanghai Cancer Center), Fujian Cancer Hospital, Fuzhou, China.
• Junxin Wu
  Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University Fujian Cancer Hospital, (Fujian Branch of Fudan University Shanghai Cancer Center), Fujian Cancer Hospital, Fuzhou, China.

Keywords

External Resources