Machine learning-based characterization of stemness features and construction of a stemness subtype classifier for bladder cancer.

Journal: BMC cancer
PMID: 40247223

Abstract

BACKGROUND: Bladder cancer (BLCA) is a highly heterogeneous disease that presents challenges in predicting prognosis and treatment response. Cancer stem cells are key drivers of tumor development, progression, metastasis, and treatment resistance. The features and prognostic significance of stemness in bladder cancer need further investigation.

Authors

  • Heping Qiu
    Department of Urology, the Second Affiliated Hospital of Nanchang University, Nanchang, 330000, China.
  • Xiaolin Deng
    Department of Urology, Ganzhou People's Hospital, Ganzhou, PR China. Electronic address: 279971368@qq.com.
  • Jing Zha
    No 908th hospital of Chinese PLA Joint Logistic Support Force, Nanchang, 330000, China.
  • Lihua Wu
    Physical Examination Center, the Second Affiliated Hospital of Nanchang University, Nanchang, 330000, China.
  • Haonan Liu
    Department of Oncology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
  • Yichen Lu
    Department of Chemical and Biomolecular Engineering, Institute for Medicine and Engineering, University of Pennsylvania, Philadelphia PA 19104, USA.
  • Xinji Zhang
    Department of Urology, the Second Affiliated Hospital of Nanchang University, Nanchang, 330000, China. zhangxinjimd@163.com.

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