Identification and validation of HOXC6 as a diagnostic biomarker for Ewing sarcoma: insights from machine learning algorithms and experiments.

Journal: Frontiers in immunology
PMID: 40255403

Abstract

INTRODUCTION: Early diagnosis of Ewing sarcoma (ES) is critical for improving patient prognosis. However, the accurate diagnosis of ES remains challenging, underscoring the need for novel diagnostic biomarkers to enhance diagnostic precision and reliability. This study aimed to identify potential gene expression-based biomarkers for the diagnosis of ES.

Authors

  • Yonghua Pang
    Department of Orthopedics, The 904th Hospital of the Joint Logistics Support Force, People's Liberation Army of China, Wuxi, Jiangsu, China.
  • Jiahui Liang
    School of Art, Hubei University, Wuhan, China.
  • Yakai Deng
    Department of Orthopedics, The 904th Hospital of the Joint Logistics Support Force, People's Liberation Army of China, Wuxi, Jiangsu, China.
  • Weinan Chen
    State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, 2 Yikuang, Harbin, 150001, China.
  • Yunyan Shen
    Department of Orthopedics, The 904th Hospital of the Joint Logistics Support Force, People's Liberation Army of China, Wuxi, Jiangsu, China.
  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.
  • Zhiyao Ren
    Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.

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