Identification of metastasis-related genes for predicting prostate cancer diagnosis, metastasis and immunotherapy drug candidates using machine learning approaches.

Journal: Biology direct
PMID: 38918844

Abstract

BACKGROUND: Prostate cancer (PCa) is the second leading cause of tumor-related mortality in men. Metastasis from advanced tumors is the primary cause of death among patients. Identifying novel and effective biomarkers is essential for understanding the mechanisms of metastasis in PCa patients and developing successful interventions.

Authors

  • Yaxuan Wang
    Department of Computer Science, Rice University, Houston, TX, USA.
  • Bo Ji
    School of Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.
  • Jinfeng Wang
  • Jiaxin He
    Beijing Key Laboratory of Energy Conversion and Storage Materials, College of Chemistry, Beijing Normal University Xinjiekouwai Street No. 19 Beijing 100875 P. R. China hhuo@bnu.edu.cn.
  • Beichen Ding
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • MingHua Ren
    Department of Urology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.

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