Integrating single-cell analysis and machine learning to create glycosylation-based gene signature for prognostic prediction of uveal melanoma.

Journal: Frontiers in endocrinology
Published Date: Jan 1, 2023

Abstract

BACKGROUND: Increasing evidence suggests a correlation between glycosylation and the onset of cancer. However, the clinical relevance of glycosylation-related genes (GRGs) in uveal melanoma (UM) is yet to be fully understood. This study aimed to shed light on the impact of GRGs on UM prognosis.

Authors

  • Jianlan Liu
    Department of Plastic and Burns Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Pengpeng Zhang
    Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, USA; Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, USA. Electronic address: zhangp@mskcc.org.
  • Fang Yang
    College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, People's Republic of China.
  • Keyu Jiang
    Department of Plastic and Burns Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Shiyi Sun
    Department of Plastic and Burns Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Zhijia Xia
    Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, Germany.
  • Gang Yao
    Department of Neurology, the Second Hospital of Jilin University, Changchun, 130012, China.
  • Jian Tang
    Department of Decision Sciences HEC, Université de Montréal, Montreal, Québec, Canada.

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