Machine learning identifies the role of SMAD6 in the prognosis and drug susceptibility in bladder cancer.

Journal: Journal of cancer research and clinical oncology
Published Date:

Abstract

BACKGROUND: Bladder cancer (BCa) is among the most prevalent malignant tumors affecting the urinary system. Due to its highly recurrent nature, standard treatments such as surgery often fail to significantly improve patient prognosis. Our research aims to predict prognosis and identify precise therapeutic targets for novel treatment interventions.

Authors

  • Ziang Chen
    College of Intelligent Systems Science and Engineering, Harbin Engineering University, Nantong street, Harbin 150001, China.
  • Yuxi Ou
    Department of Urology, Huashan Hospital, Fudan University, Shanghai, China.
  • Fangdie Ye
    Department of Urology, Huashan Hospital, Fudan University, Shanghai, China.
  • Weijian Li
    PAII Inc., Bethesda, MD, USA.
  • Haowen Jiang
    Department of Urology, Huashan Hospital, Fudan University, Shanghai, China. urology_hs@163.com.
  • Shenghua Liu
    Department of Urology, Huashan Hospital, Fudan University, Shanghai, China. liushenghuafy@163.com.