Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters.

Journal: BMC medical informatics and decision making
PMID: 39497055

Abstract

BACKGROUND: Cuproptosis, a recently identified type of programmed cell death triggered by copper, has mechanisms in Wilms tumor (WT) that are not yet fully understood. This research focuses on examining the link between WT and Cuproptosis-related genes (CRGs), with the goal of developing a predictive model for WT.

Authors

  • Jingru Huang
    Shanghai Key Laboratory of Medical Epigenetics, Laboratory of Cancer Epigenetics, Institutes of Biomedical Sciences, Medical College of Fudan University, Chinese Academy of Medical Sciences, Shanghai, People's Republic of China.
  • Yong Li
    Department of Surgical Sciences, Western Michigan University Homer Stryker M.D. School of Medicine, Kalamazoo, MI, United States.
  • Xiaotan Pan
    Department of Pediatric Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, No. 6, Shuangyong Road, Nanning, 530022, China.
  • Jixiu Wei
    Department of Pediatric Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, No. 6, Shuangyong Road, Nanning, 530022, China.
  • Qiongqian Xu
    Department of Pediatric Surgery, Qilu Hospital of Shandong University, No. 107, Wenhua West Road, Jinan, Shandong Province, 250012, China.
  • Yin Zheng
  • Peng Chen
  • Jiabo Chen
    Department of Pediatric Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi Zhuang Autonomous Region, No. 6, Shuangyong Road, Nanning, 530022, China. cjb1205@163.com.

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