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:
May 20, 2024
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.