Machine learning-based dynamic CEA trajectory and prognosis in gastric cancer.

Journal: BMC cancer
Published Date: Jul 26, 2025

Abstract

BACKGROUND: Static carcinoembryonic antigen (CEA) levels are well‑established prognostic markers in patients with gastric cancer, but the significance of their dynamic trajectories over time has rarely been reported.

Authors

  • Yonghe Chen
    Department of General Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, 26 Yuancun Erheng Road, Guangzhou, 510655, China. chenyhe@mail2.sysu.edu.cn.
  • Dan Liu
    Department of Bioengineering, Temple University, Philadelphia, PA, United States.
  • Zhong Wang
    Department of Intensive Care Unit, The First Hospital of China Medical University, Shenyang, Liaoning, China.
  • Yi Lin
    Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Key Lab of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
  • Xiaohan Jiang
    School of Nursing, Sun Yat-sen University, Guangzhou, 510080, China.
  • Junjie Liu
    Tianjin Key Lab of Indoor Air Environmental Quality Control, School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072, China.
  • Lei Lian
    State Key Laboratory of Green Pesticide; Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, People's Republic of China.

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