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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Gastrointestinal Cancers: Colorectal Cancer
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1498328

Dysregulation of saliva and fecal microbiota as novel biomarkers of colorectal cancer

Provisionally accepted
Jiamei Rong Jiamei Rong 1Xiaocui Chen Xiaocui Chen 2Zhangqin Li Zhangqin Li 3Bona Li Bona Li 3Yang Sun Yang Sun 3*Yinglei Miao Yinglei Miao 3*
  • 1 Yan'an Hospital Affiliated To Kunming Medical University, Kunming, Yunnan Province, China
  • 2 Affiliated Hospital of Panzhihua University, Panzhihua, Sichuan, China
  • 3 Department of Gastroenterology, First Affiliated Hospital of Kunming Medical University, Kunming, China

The final, formatted version of the article will be published soon.

    The aim of this study was to investigate the biomarkers of salivary and fecal microbiota in Colorectal cancer (CRC). Initially, the study scrutinized the microbial community composition disparities among groups. Utilizing Lasso analysis, it sifted through operational taxonomic units (OTUs) to pinpoint distinctive features. Subsequently, by intersecting feature OTUs across groups, it curated a set of core-shared OTUs and devised a corresponding network. Concluding with functional enrichment analysis, the research delved into the divergent biological functions of these microbial communities within the studied groups. Analysis revealed higher bacterial diversity in saliva compared to feces, with distinct differences at both phylum and genus levels. Feces primarily contained Firmicutes, while saliva was dominated by Bacteroidetes and Proteobacteria. Notably, Escherichia-Shigella and Fusobacterium in feces and Streptococcus in saliva showed increasing abundance from average to adenoma to colorectal cancer. Specific dominant flora was identified within and between groups, including CRC and adenomas across different stages. Seventeen core shared OTUs were identified, and networks of shared OTUs were constructed for each group. Functional enrichment analysis highlighted distinct microbial community functions among the groups. This study's findings on characteristic OTUs in saliva and fecal samples offer valuable insights for distinguishing between healthy individuals, adenoma patients, and those with colorectal cancer. This study identified distinctive OTUs in saliva and feces to distinguish between healthy individuals, adenoma patients, and those with CRC, offering a valuable diagnostic reference.

    Keywords: colorectal cancer, 16s sequencing, machine learning, Saliva, faeces, differential diagnosis

    Received: 18 Sep 2024; Accepted: 02 Dec 2024.

    Copyright: © 2024 Rong, Chen, Li, Li, Sun and Miao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Yang Sun, Department of Gastroenterology, First Affiliated Hospital of Kunming Medical University, Kunming, China
    Yinglei Miao, Department of Gastroenterology, First Affiliated Hospital of Kunming Medical University, Kunming, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.