Fusobacterium nucleatum in biopsied tissues from colorectal cancer patients and alcohol consumption in Korea

Myungsook Kim, Seung Tae Lee, Songyi Choi, Hyukmin Lee, Sun Sung Kwon, Jung Hyun Byun, Young Ah Kim, Ki Jong Rhee, Jong Rak Choi, Tae Il Kim, Kyungwon Lee

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The roles of individual bacteria and their relationship in the development of colorectal cancer (CRC) remain unclear. We aimed to determine the prevalence of CRC-associated bacteria using quantitative real-time PCR (qPCR) or 16S rRNA analysis and the statistical correlations of patient demographics and clinical characteristics comprising alcohol consumption with CRC-associated bacteria. We determined the prevalence of five CRC-associated bacterial species in 38 CRC patients (39 samples) and 21 normal individuals using qPCR, and the relative abundance of bacterial taxa in the gut microbiome was assessed using 16S rRNA analysis. Fusobacterium nucleatum was the only bacterium that was significantly (P < 0.0001) more prevalent in the cancer tissue (82.1%) than in the normal tissue (0%) by qPCR. 16S rRNA analysis showed a significant correlation between six operational taxonomic units (OTUs), namely, the genera Fusobacterium, Peptostreptococcus, Collinsella, Prevotella, Parvimonas, and Gemella, in patients with CRC. An integrated analysis using 16S rRNA data and epidemiological characteristics showed that alcohol consumption was significantly correlated with the abundance of Fusobacterium OTUs. The correlation of alcohol consumption with the abundance of Fusobacterium OTUs in cancer tissue discovered using 16S rRNA analysis suggests a possible link between alcohol metabolism and subsequent tumorigenesis caused by F. nucleatum.

Original languageEnglish
Article number19915
JournalScientific reports
Volume10
Issue number1
DOIs
Publication statusPublished - 2020 Dec

Bibliographical note

Funding Information:
This work was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning [grant number 2017R1A2B4003785].

Publisher Copyright:
© 2020, The Author(s).

All Science Journal Classification (ASJC) codes

  • General

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