Towards the human colorectal cancer microbiome

PLoS One. 2011;6(5):e20447. doi: 10.1371/journal.pone.0020447. Epub 2011 May 24.

Abstract

Multiple factors drive the progression from healthy mucosa towards sporadic colorectal carcinomas and accumulating evidence associates intestinal bacteria with disease initiation and progression. Therefore, the aim of this study was to provide a first high-resolution map of colonic dysbiosis that is associated with human colorectal cancer (CRC). To this purpose, the microbiomes colonizing colon tumor tissue and adjacent non-malignant mucosa were compared by deep rRNA sequencing. The results revealed striking differences in microbial colonization patterns between these two sites. Although inter-individual colonization in CRC patients was variable, tumors consistently formed a niche for Coriobacteria and other proposed probiotic bacterial species, while potentially pathogenic Enterobacteria were underrepresented in tumor tissue. As the intestinal microbiota is generally stable during adult life, these findings suggest that CRC-associated physiological and metabolic changes recruit tumor-foraging commensal-like bacteria. These microbes thus have an apparent competitive advantage in the tumor microenvironment and thereby seem to replace pathogenic bacteria that may be implicated in CRC etiology. This first glimpse of the CRC microbiome provides an important step towards full understanding of the dynamic interplay between intestinal microbial ecology and sporadic CRC, which may provide important leads towards novel microbiome-related diagnostic tools and therapeutic interventions.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Bacterial Adhesion
  • Colorectal Neoplasms / microbiology*
  • Colorectal Neoplasms / pathology
  • DNA Fingerprinting
  • DNA, Intergenic / genetics
  • Denaturing Gradient Gel Electrophoresis
  • Female
  • Humans
  • Intestinal Mucosa / microbiology
  • Intestinal Mucosa / pathology
  • Male
  • Metagenome*
  • Middle Aged
  • RNA, Bacterial / genetics
  • RNA, Ribosomal, 16S / genetics
  • Ribosomes / genetics
  • Sequence Analysis, RNA

Substances

  • DNA, Intergenic
  • RNA, Bacterial
  • RNA, Ribosomal, 16S