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Identification of microbial markers across populations in early detection of colorectal cancer

Author

Listed:
  • Yuanqi Wu

    (Tongji University)

  • Na Jiao

    (Sun Yat-sen University)

  • Ruixin Zhu

    (Tongji University)

  • Yida Zhang

    (Harvard Medical School)

  • Dingfeng Wu

    (Tongji University)

  • An-Jun Wang

    (Shanghai Jiao Tong University School of Medicine)

  • Sa Fang

    (Tongji University)

  • Liwen Tao

    (Tongji University)

  • Yichen Li

    (Sun Yat-sen University)

  • Sijing Cheng

    (Sun Yat-sen University
    School of Medicine, Sun Yat-sen University)

  • Xiaosheng He

    (Sun Yat-sen University)

  • Ping Lan

    (Sun Yat-sen University
    School of Medicine, Sun Yat-sen University)

  • Chuan Tian

    (Tongji University)

  • Ning-Ning Liu

    (Shanghai Jiao Tong University School of Medicine)

  • Lixin Zhu

    (Sun Yat-sen University
    The State University of New York at Buffalo)

Abstract

Associations between gut microbiota and colorectal cancer (CRC) have been widely investigated. However, the replicable markers for early-stage adenoma diagnosis across multiple populations remain elusive. Here, we perform an integrated analysis on 1056 public fecal samples, to identify adenoma-associated microbial markers for early detection of CRC. After adjusting for potential confounders, Random Forest classifiers are constructed with 11 markers to discriminate adenoma from control (area under the ROC curve (AUC) = 0.80), and 26 markers to discriminate adenoma from CRC (AUC = 0.89), respectively. Moreover, we validate the classifiers in two independent cohorts achieving AUCs of 0.78 and 0.84, respectively. Functional analysis reveals that the altered microbiome is characterized with increased ADP-l-glycero-beta-d-manno-heptose biosynthesis in adenoma and elevated menaquinone-10 biosynthesis in CRC. These findings are validated in a newly-collected cohort of 43 samples using quantitative real-time PCR. This work proves the validity of adenoma-specific markers across multi-populations, which would contribute to the early diagnosis and treatment of CRC.

Suggested Citation

  • Yuanqi Wu & Na Jiao & Ruixin Zhu & Yida Zhang & Dingfeng Wu & An-Jun Wang & Sa Fang & Liwen Tao & Yichen Li & Sijing Cheng & Xiaosheng He & Ping Lan & Chuan Tian & Ning-Ning Liu & Lixin Zhu, 2021. "Identification of microbial markers across populations in early detection of colorectal cancer," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23265-y
    DOI: 10.1038/s41467-021-23265-y
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    Cited by:

    1. Lijun Ning & Yi-Lu Zhou & Han Sun & Youwei Zhang & Chaoqin Shen & Zhenhua Wang & Baoqin Xuan & Ying Zhao & Yanru Ma & Yuqing Yan & Tianying Tong & Xiaowen Huang & Muni Hu & Xiaoqiang Zhu & Jinmei Ding, 2023. "Microbiome and metabolome features in inflammatory bowel disease via multi-omics integration analyses across cohorts," Nature Communications, Nature, vol. 14(1), pages 1-17, December.

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