A prognostic biomarker of disulfidptosis constructed by machine learning framework model as potential reporters of pancreatic adenocarcinoma.

Journal: Cellular signalling
Published Date:

Abstract

BACKGROUND: Pancreatic adenocarcinoma (PAAD), known for its high lethality, has not been thoroughly explored in terms of its mechanisms and patterns of immune infiltration. Disulfidptosis, a newly identified mode of cell death, is likely associated with tumorigenesis and progression but remains poorly understood in PAAD at the genetic and mechanistic levels.

Authors

  • Wenhui Zhang
    Department of Hepatobiliary and Pancreatic Surgery, The Center for Integrated Oncology and Precision Medicine, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, 261 HuanSha Road, Hangzhou, 310006, China.
  • Qing Zhao
    Institute of Nephrology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China.
  • Hongqiang Zhang
    Department of Emergency, Affiliated Hospital of Hebei University, Baoding, Hebei, China.
  • Jianjun Zhang
    Department of Thoracic/Head and Neck Medical Oncology, MD Anderson Cancer Center, Houston, Texas, USA.
  • Fangchao Zhao
    Department of Thoracic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Ren Niu
    Second Department of Oncology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China. Electronic address: 28804043@hebmu.edu.cn.
  • Xinmei Hu
    Department of Emergency, Affiliated Hospital of Hebei University, Baoding, Hebei, China. Electronic address: 13754420181@163.com.
  • Lili Wang
    School of Logistics, Chengdu University of Information Technology, Chengdu, China.
  • Peng Liu
    Department of Clinical Pharmacy, Dazhou Central Hospital, Dazhou 635000, China.