Development and validation of machine learning models for distant metastasis of primary hepatic carcinoma: a population-based study.

Journal: Discover oncology
Published Date: Jun 16, 2025

Abstract

BACKGROUND: Primary liver cancer is the sixth most common cancer globally and ranks third in cancer-related mortality. Patients with distant metastasis (PLCDM) have particularly low survival rates and are more difficult to treat. This study aims to identify risk factors associated with distant metastasis and overall survival (OS) in primary liver cancer and to determine the optimal predictive models using machine learning.

Authors

  • Cong Lu
    Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China.
  • Ying He
    Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, and Medical School of Nantong University, Nantong, China.
  • Chun-Ru Chen
    Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China.
  • Lun Wu
    Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, Hubei, 442008, China.
  • Dan Song
    Department of Ophthalmology, Beijing Tisnghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Chen-Hong Wang
    Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China.
  • Le-Qing Zhang
    Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China.
  • Jing-Yi Miao
    Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China.
  • Yong-Bin Zheng
    Department of Gastrointestinal Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, China. yongbinzheng@whu.edu.cn.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.

Keywords

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