Multi-omic profiling reveals associations between the gut microbiome, host genome and transcriptome in patients with colorectal cancer

J Transl Med. 2024 Feb 18;22(1):175. doi: 10.1186/s12967-024-04984-4.

Abstract

Background: Colorectal cancer (CRC) is the leading cancer worldwide. Microbial agents have been considered to contribute to the pathogenesis of different disease. But the underlying relevance between CRC and microbiota remain unclear.

Methods: We dissected the fecal microbiome structure and genomic and transcriptomic profiles of matched tumor and normal mucosa tissues from 41 CRC patients. Of which, the relationship between CRC-associated bacterial taxa and their significantly correlated somatic mutated gene was investigated by exome sequencing technology. Differentially expressed functional genes in CRC were clustered according to their correlation with differentially abundant species, following by annotation with DAVID. The composition of immune and stromal cell types was identified by XCELL.

Results: We identified a set of 22 microbial gut species associated with CRC and estimate the relative abundance of KEGG ontology categories. Next, the interactions between CRC-related gut microbes and clinical phenotypes were evaluated. 4 significantly mutated gene: TP53, APC, KRAS, SMAD4 were pointed out and the associations with cancer related microbes were identified. Among them, Fusobacterium nucleatum positively corelated with different host metabolic pathways. Finally, we revealed that Fusobacterium nucleatum modified the tumor immune environment by TNFSF9 gene expression.

Conclusion: Collectively, our multi-omics data could help identify novel biomarkers to inform clinical decision-making in the detection and diagnosis of CRC.

Keywords: Colorectal cancer; Gut microbiota; Immune response; Metabolism; Metagenomic sequencing; Somatic mutations; Transcriptome.

MeSH terms

  • Colorectal Neoplasms* / diagnosis
  • Gastrointestinal Microbiome* / genetics
  • Humans
  • Microbiota*
  • Multiomics
  • Transcriptome / genetics