Your browser doesn't support javascript.
loading
Integrated metagenomic and metabolomic analysis reveals distinct gut-microbiome-derived phenotypes in early-onset colorectal cancer.
Kong, Cheng; Liang, Lei; Liu, Guang; Du, Lutao; Yang, Yongzhi; Liu, Jianqiang; Shi, Debing; Li, Xinxiang; Ma, Yanlei.
Afiliação
  • Kong C; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Liang L; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Liu G; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Du L; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Yang Y; Guangdong Hongyuan Pukang Medical Technology Co., Ltd, Guangdong, China.
  • Liu J; Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, Shandong province, China.
  • Shi D; Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
  • Li X; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
  • Ma Y; Department of Endoscopy, Fudan University Shanghai Cancer Center, Shanghai, China.
Gut ; 72(6): 1129-1142, 2023 06.
Article em En | MEDLINE | ID: mdl-35953094
ABSTRACT

OBJECTIVE:

The incidence of early-onset colorectal cancer (EO-CRC) is steadily increasing. Here, we aimed to characterise the interactions between gut microbiome, metabolites and microbial enzymes in EO-CRC patients and evaluate their potential as non-invasive biomarkers for EO-CRC.

DESIGN:

We performed metagenomic and metabolomic analyses, identified multiomics markers and constructed CRC classifiers for the discovery cohort with 130 late-onset CRC (LO-CRC), 114 EO-CRC subjects and age-matched healthy controls (97 LO-Control and 100 EO-Control). An independent cohort of 38 LO-CRC, 24 EO-CRC, 22 LO-Controls and 24 EO-Controls was analysed to validate the results.

RESULTS:

Compared with controls, reduced alpha-diversity was apparent in both, LO-CRC and EO-CRC subjects. Although common variations existed, integrative analyses identified distinct microbiome-metabolome associations in LO-CRC and EO-CRC. Fusobacterium nucleatum enrichment and short-chain fatty acid depletion, including reduced microbial GABA biosynthesis and a shift in acetate/acetaldehyde metabolism towards acetyl-CoA production characterises LO-CRC. In comparison, multiomics signatures of EO-CRC tended to be associated with enriched Flavonifractor plauti and increased tryptophan, bile acid and choline metabolism. Notably, elevated red meat intake-related species, choline metabolites and KEGG orthology (KO) pldB and cbh gene axis may be potential tumour stimulators in EO-CRC. The predictive model based on metagenomic, metabolomic and KO gene markers achieved a powerful classification performance for distinguishing EO-CRC from controls.

CONCLUSION:

Our large-sample multiomics data suggest that altered microbiome-metabolome interplay helps explain the pathogenesis of EO-CRC and LO-CRC. The potential of microbiome-derived biomarkers as promising non-invasive tools could be used for the accurate detection and distinction of individuals with EO-CRC.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Microbiota / Microbioma Gastrointestinal Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Gut Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Colorretais / Microbiota / Microbioma Gastrointestinal Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Gut Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China