| Microbiome | |
| Multi-cohort analysis of colorectal cancer metagenome identified altered bacteria across populations and universal bacterial markers | |
| Zigui Chen1  Liuyang Zhao2  Jun Yu2  William K. K. Wu2  Francis K. L. Chan2  Joseph J. Y. Sung2  Sunny Hei Wong2  Zhenwei Dai2  Geicho Nakatsu2  Olabisi Oluwabukola Coker2  Karsten Kristiansen3  | |
| [1] Department of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong;Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong;Laboratory of Genomics and Molecular Biomedicine, Department of Biology, University of Copenhagen; | |
| 关键词: Colorectal cancer; Microbiota; Diagnostic marker; Ecology; | |
| DOI : 10.1186/s40168-018-0451-2 | |
| 来源: DOAJ | |
【 摘 要 】
Abstract Background Alterations of gut microbiota are associated with colorectal cancer (CRC) in different populations and several bacterial species were found to contribute to the tumorigenesis. The potential use of gut microbes as markers for early diagnosis has also been reported. However, cohort specific noises may distort the structure of microbial dysbiosis in CRC and lead to inconsistent results among studies. In this regard, our study targeted at exploring changes in gut microbiota that are universal across populations at species level. Results Based on the combined analysis of 526 metagenomic samples from Chinese, Austrian, American, and German and French cohorts, seven CRC-enriched bacteria (Bacteroides fragilis, Fusobacterium nucleatum, Porphyromonas asaccharolytica, Parvimonas micra, Prevotella intermedia, Alistipes finegoldii, and Thermanaerovibrio acidaminovorans) have been identified across populations. The seven enriched bacterial markers classified cases from controls with an area under the receiver-operating characteristics curve (AUC) of 0.80 across the different populations. Abundance correlation analysis demonstrated that CRC-enriched and CRC-depleted bacteria respectively formed their own mutualistic networks, in which the latter was disjointed in CRC. The CRC-enriched bacteria have been found to be correlated with lipopolysaccharide and energy biosynthetic pathways. Conclusions Our study identified potential diagnostic bacterial markers that are robust across populations, indicating their potential universal use for non-invasive CRC diagnosis. We also elucidated the ecological networks and functional capacities of CRC-associated microbiota.
【 授权许可】
Unknown