Improved diagnostic efficiency of CRC subgroups revealed using machine learning based on intestinal microbes.

Journal: BMC gastroenterology
Published Date:

Abstract

BACKGROUND: Colorectal cancer (CRC) is a common cancer that causes millions of deaths worldwide each year. At present, numerous studies have confirmed that intestinal microbes play a crucial role in the process of CRC. Additionally, studies have shown that CRC can be divided into several consensus molecular subtypes (CMS) based on tumor gene expression, and CRC microbiomes have been reported related to CMS. However, most previous studies on intestinal microbiome of CRC have only compared patients with healthy controls, without classifying of CRC patients based on intestinal microbial composition.

Authors

  • Guang Liu
    Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, Beijing Advanced Innovation Centre for Biomedical Engineering, School of Engineering Medicine, School of Biological Science and Medical Engineering, Beihang University, No.37 Xueyuan Road, Haidian District, Beijing, 100083, People's Republic of China.
  • Lili Su
    School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China.
  • Cheng Kong
    Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
  • Liang Huang
    School of Instrument Science and Opto-electronic Engineering, Hefei University of Technology, Hefei 230009, China.
  • Xiaoyan Zhu
    Anhui Technical College of Industry and Economy, Hefei, China.
  • Xuanping Zhang
    School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China.
  • Yanlei Ma
    Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. yanleima@fudan.edu.cn.
  • Jiayin Wang
    MicroPort(Shanghai) MedBot Co. Ltd, Shanghai, 200031.