Machine-learning developed an iron, copper, and sulfur-metabolism associated signature predicts lung adenocarcinoma prognosis and therapy response.

Journal: Respiratory research
PMID:

Abstract

BACKGROUND: Previous studies have largely neglected the role of sulfur metabolism in LUAD, and no study has combine iron, copper, and sulfur-metabolism associated genes together to create prognostic signatures.

Authors

  • Liangyu Zhang
    Fine Art and Design College, Quanzhou Normal University, Quanzhou, 362000, China.
  • Xun Zhang
    Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, China.
  • Maohao Guan
    Department of Thoracic Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
  • Jianshen Zeng
    Department of Thoracic Surgery, the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China.
  • Fengqiang Yu
    Department of Thoracic Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China. martinyu@fjmu.edu.cn.
  • Fancai Lai
    Department of Thoracic Surgery, The First Affiliated Hospital, Fujian Medical University, Fuzhou, 350005, China. laifancai@fjmu.edu.cn.