Development and validation of a machine learning-based risk model for metastatic disease in nmCRPC patients: a tumor marker prognostic study.

Journal: International journal of surgery (London, England)
Published Date: May 1, 2025

Abstract

BACKGROUND: Nonmetastatic castration-resistant prostate cancer (nmCRPC) is a clinical challenge due to the high progression rate to metastasis and mortality. To date, no prognostic model has been developed to predict the metastatic probability for nmCRPC patients. In this study, we developed and externally validated a machine-learning model capable of calculating risk scores and predicting the likelihood of metastasis in nmCRPC patients.

Authors

  • Xudong Ni
    Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Ziyun Wang
    Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Xiaomeng Li
  • Jixinnan Sui
    Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Weiwei Ma
    Institute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, Saint Louis, Missouri, USA.
  • Jian Pan
    School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
  • Dingwei Ye
    Department of Urology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Yao Zhu
    Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China.

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