Establishment of threshold of human gut microbes and risk assessment system for colorectal cancer.

Journal: Computers in biology and medicine
Published Date: Jan 19, 2026

Abstract

BACKGROUND: Being involved in the occurrence of colorectal cancer (CRC), gut microbes are potential targets for early diagnosis of CRC. Defining the threshold of these characteristic bacteria could provide a basis for the clinical application of microorganisms as novel tumor markers for CRC. OBJECTIVE: To sort out and define the threshold of related bacteria and the ecological characteristics of gut bacteria. METHODS: A total of 8021 fecal samples from healthy people and 497 from CRC patients in the public database were collected to analyse the reference range. CRC-related bacteria and gut microbial characteristics were screened by literature review and analysed. CRC related bacteria and 5-95 % medians of gut microbial characteristics in healthy populations were used as reference value. 16S rRNA Miseq sequencing (175 CRC patients and 175 healthy people) and PacBio sequencing (200 CRC patients and 200 healthy people) were used to detect stool DNA sequence. The community composition of gut microbiota between CRC and healthy subjects was plotted; the species differences were analysed by Lefse analysis. R studio software was used to analyse CRC-related bacteria and gut microbial characteristics. RESULTS: A total of 218 CRC-associated bacteria and 15 gut microbial characteristics, such as enterotypes and Firmicutes/Bacteroidetes ratio, were reviewed and analysed. A 5-95 % threshold for these 218 CRC-associated bacteria and 15 gut microbiome signatures was developed to provide criteria for the normal range of gut bacteria. The CRC evaluation intelligent system software was developed and it could quickly calculate the value of 218 CRC related bacteria and 15 gut microbial characteristics using sequencing data, and assess whether they are within the threshold. And this software has the function of predicting CRC risk. The accuracy of CRC risk assessment ranged from 89.14 % to 91.50 %. CONCLUSION: We established, for the first time, quantitative thresholds for CRC-associated bacteria and have driven advances in microbial risk prediction for CRC.

Authors

  • Wu Yinhang
    Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China; Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, People's Republic of China; Zhejiang-France United Laboratory of Integrated Traditional Chinese and Modern Medicine in Colorectal Cancer, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China.
  • Zhuang Jing
    Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China; Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, People's Republic of China; Zhejiang-France United Laboratory of Integrated Traditional Chinese and Modern Medicine in Colorectal Cancer, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China.
  • Qu Zhanbo
    Affiliated Yueqing Hospital of Wenzhou Medical University, Leqing, 325600 Zhejiang Province, People's Republic of China.
  • Liu Jiang
    Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China; Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, People's Republic of China; Zhejiang-France United Laboratory of Integrated Traditional Chinese and Modern Medicine in Colorectal Cancer, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China.
  • Zhou Qing
    Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China; Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, People's Republic of China; Zhejiang-France United Laboratory of Integrated Traditional Chinese and Modern Medicine in Colorectal Cancer, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China.
  • Zhang Qi
    Zhejiang Changzheng Vocational & Technical College, No. 525, Liuhuo Road, Xihu District, Hangzhou, Zhejiang Province, 310023, People's Republic of China.
  • Jin Yin
    （ 610065） School of Computer Science, Sichuan University, Chengdu 610065, China.
  • Song Jianwen
    Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China; Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, People's Republic of China.
  • Wu Wei
    Guangxi Zhuang Autonomous Region People's Hospital, Nanning, China.
  • Han Shuwen
    Huzhou Central Hospital, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China; Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, People's Republic of China; School of Medicine, Tarim University, Alaer, 843300, Xinjiang, People's Republic of China; Zhejiang-France United Laboratory of Integrated Traditional Chinese and Modern Medicine in Colorectal Cancer, No.1558, Sanhuan North Road, Wuxing District, Huzhou, Zhejiang Province, 313000, People's Republic of China; ASIR (Institute - Association of intelligent systems and robotics), 14B rue Henri Sainte Claire Deville, Rueil-Malmaison, 92500, France. Electronic address: [email protected].

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