Machine learning identifies immune-based biomarkers that predict efficacy of anti-angiogenesis-based therapies in advanced lung cancer.

Journal: International immunopharmacology
Published Date: Nov 17, 2024

Abstract

BACKGROUND: The anti-angiogenic drugs showed remarkable efficacy in the treatment of lung cancer. Nonetheless, the potential roles of the intra-tumoral immune cell abundances and peripheral blood immunological features in prognosis prediction of patients with advanced lung cancer receiving anti-angiogenesis-based therapies remain unknown. In this study, we aimed to develop an immune-based model for early identification of patients with advanced lung cancer who would benefit from anti-angiogenesis-based therapies.

Authors

  • Peixin Chen
    Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China; School of Medicine, Tongji University, Shanghai 2000922, China.
  • Lei Cheng
    State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, China.
  • Chao Zhao
    Department of Hygienic Inspection, School of Public Health, Jilin University 1163 Xinmin Street Changchun 130021 Jilin China songxiuling@jlu.edu.cn li_juan@jlu.edu.cn jinmh@jlu.edu.cn +86 43185619441.
  • Zhuoran Tang
    Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China; School of Medicine, Tongji University, Shanghai 2000922, China.
  • Haowei Wang
    Department of Second Dental Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology, Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology, Shanghai Research Institute of Stomatology, Shanghai, China.
  • Jinpeng Shi
    Department of Medical Oncology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China; School of Medicine, Tongji University, Shanghai 2000922, China.
  • Xuefei Li
    Wuhan National High Magnetic Field Center, Huazhong University of Science and Technology, Wuhan, China.
  • Caicun Zhou
    Department of Medical Oncology, Shanghai Pulmonary Hospital, Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals