Using a machine learning approach to identify key prognostic molecules for esophageal squamous cell carcinoma.

Journal: BMC cancer
Published Date:

Abstract

BACKGROUND: A plethora of prognostic biomarkers for esophageal squamous cell carcinoma (ESCC) that have hitherto been reported are challenged with low reproducibility due to high molecular heterogeneity of ESCC. The purpose of this study was to identify the optimal biomarkers for ESCC using machine learning algorithms.

Authors

  • Meng-Xiang Li
    School of Information Engineering of Henan University of Science and Technology, 263 Kaiyuan Road, Luolong Qu, Luoyang, 471023, P. R. China.
  • Xiao-Meng Sun
    Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, 24 Jinghua Road, Jianxi Qu, Luoyang, 471003, P. R. China.
  • Wei-Gang Cheng
    Department of Thyroid and Breast Cancer Surgery, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, 24 Jinghua Road, Jianxi Qu, Luoyang, 471003, P. R. China.
  • Hao-Jie Ruan
    Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, 24 Jinghua Road, Jianxi Qu, Luoyang, 471003, P. R. China.
  • Ke Liu
    State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, P.R. China.
  • Pan Chen
    Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, 24 Jinghua Road, Jianxi Qu, Luoyang, 471003, P. R. China.
  • Hai-Jun Xu
    Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, 24 Jinghua Road, Jianxi Qu, Luoyang, 471003, P. R. China.
  • She-Gan Gao
    Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, 24 Jinghua Road, Jianxi Qu, Luoyang, 471003, P. R. China.
  • Xiao-Shan Feng
    School of Information Engineering of Henan University of Science and Technology, 263 Kaiyuan Road, Luolong Qu, Luoyang, 471023, P. R. China. samfeng137@hotmail.com.
  • Yi-Jun Qi
    Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment; Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital, College of Clinical Medicine, Medical College of Henan University of Science and Technology, 24 Jinghua Road, Jianxi Qu, Luoyang, 471003, P. R. China. qiyijun@haust.edu.cn.