as a favorable prognostic biomarker in pediatric osteosarcoma: an integrated analysis of machine learning, bioinformatics, and validation experiments.

Journal: Translational pediatrics
Published Date: May 27, 2025

Abstract

BACKGROUND: Osteosarcoma (OS), the most common pediatric bone tumor, faces challenges with frequent relapse despite treatment advances. Identifying early diagnostic biomarkers and therapeutic targets is critical. The purpose of this study was to investigate the novel biomarkers for OS, and we also aimed to explore whether these biomarkers could potentially serve as the therapy targets.

Authors

  • Chun-Xian Lu
    Department of Spine and Osteopathy, Baise People's Hospital, Baise, China.
  • Zhen-Xue Long
    Department of Spine and Osteopathy, Baise People's Hospital, Baise, China.
  • Ji-Li Lu
    Department of Spine and Osteopathy, Baise People's Hospital, Baise, China.
  • Cheng-Kua Huang
    Department of Spine and Osteopathy, Baise People's Hospital, Baise, China.
  • Tomoki Nakamura
    Department of Orthopedic Surgery, Mie University Graduate School of Medicine, Tsu, Japan.
  • Shou-Wen Tao
    Department of Gland Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
  • Shu-Liang Hua
    Department of Spine and Osteopathy, Baise People's Hospital, Baise, China.
  • Da-Lang Fang
    Department of Gland Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.

Keywords

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