Page 46 - D. Cancer biology

[D. Cancer biology-32]

Colorectal cancer diagnostic model utilizing metagenomic

and metabolomic data of stool microbial extracellular

vesicles

Da Jung Kim¹, In-Jin Jang¹, Yoon-Keun Kim², Joo-Youn Cho¹˙*

¹Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and

Hospital, Seoul 03080, Republic of Korea, ²Institute of MD healthcare Inc, Seoul 03923, Republic of Korea

Colorectal cancer (CRC) occurs sporadically in the majority of cases, indicating the predominant cause of the disease
are environmental factors. Diet-induced changes in gut-microbiome are recently supposed to contribute on

epidemics of CRC. This study was aimed to investigate the association of metagenomics and metabolomics in gut
extracellular vesicles (EVs) of CRC and healthy subjects. A total of 40 healthy volunteers and 32 patients with CRC

were enrolled in this study. Metagenomic profiling by sequencing 16 S rDNA was performed for assessing microbial
codiversity. We explored the small molecule metabolites using GC-TOFMS. Metagenomic profiling demonstrated

that bacterial phyla, particularly of Firmicutes and Proteobacteria, were significantly altered in patients with colorectal
cancer. Through metabolomics profiling, we determined seven amino acids, four carboxylic acids, and four fatty

acids; including short-chain to long chain fatty acids that altered in the disease group. Binary logistic regression
was further tested to evaluate the diagnostic performance. In summary, the present findings suggest that gut flora

dysbiosis may result in alternation of amino acid metabolism, which may be correlated with the pathogenesis of
CRC.