Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreatic adenocarcinomas.

Journal: Journal of translational medicine
Published Date: Aug 16, 2024

Abstract

BACKGROUND: Pancreatic adenocarcinomas (PAADs) often exhibit a "cold" or immunosuppressive tumor milieu, which is associated with resistance to immune checkpoint blockade therapy; however, the underlying mechanisms are incompletely understood. Here, we aimed to improve our understanding of the molecular mechanisms occurring in the tumor microenvironment and to identify biomarkers, therapeutic targets, and potential drugs to improve PAAD treatment.

Authors

  • Jia Ge
    Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University) and Key Laboratory of Tumor Immunopathology, Ministry of Education of China, Chongqing.
  • Juan Ge
    Department of Immunology, School of Medicine, Nantong University, Nantong, 226001, China.
  • Gu Tang
    Department of Immunology, School of Medicine, Nantong University, Nantong, 226001, China.
  • Dejun Xiong
    Department of Immunology, School of Medicine, Nantong University, Nantong, 226001, China.
  • Dongyan Zhu
    Department of Rehabilitation, the Second Affiliated Hospital of Nantong University, Nantong, 226001, China.
  • Xiaoling Ding
    Department of Pediatrics, The First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, China.
  • Xiaorong Zhou
    Hubei Provincial Center for Disease Control and Prevention, 6 Zhuodaoquan North Road, Wuhan, 430079, Hubei, China.
  • Mengmeng Sang
    Department of Immunology, School of Medicine, Nantong University, Nantong, 226001, China. sangmm@ntu.edu.cn.

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