ESCCPred: a machine learning model for diagnostic prediction of early esophageal squamous cell carcinoma using autoantibody profiles.

Journal: British journal of cancer
PMID:

Abstract

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) is a deadly cancer with no clinically ideal biomarkers for early diagnosis. The objective of this study was to develop and validate a user-friendly diagnostic tool for early ESCC detection.

Authors

  • Tiandong Li
    College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Provinc, China.
  • Guiying Sun
    College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Provinc, China.
  • Hua Ye
    Department of Pulmonary and Critical Care Medicine, Affiliated Yueqing Hospital, Wenzhou Medical University, Yueqing 325600, China.
  • Caijuan Song
    The Institution for Chronic and Noncommunicable Disease Control and Prevention, Zhengzhou Center for Disease Control and Prevention, Zhengzhou, 450052, Henan Provinc, China.
  • Yajing Shen
    Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
  • Yifan Cheng
    Department of Gynecologic Oncology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, China.
  • Yuanlin Zou
    College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Provinc, China.
  • Zhaoyang Fang
    College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Provinc, China.
  • Jianxiang Shi
    Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan Province, China.
  • Keyan Wang
    Henan Institute of Medical & Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
  • Liping Dai
    Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, 450052, Henan Province, China.
  • Peng Wang
    Neuroengineering Laboratory, School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.