Journal Article

DKFZ-2019-01017

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer.

Wirbel, J. ; Pyl, P. T. ; Kartal, E. ; Zych, K. ; Kashani, A. ; Milanese, A. ; Fleck, J. S. ; Voigt, A. Y. ; Palleja, A. ; Ponnudurai, R. ; Sunagawa, S. ; Coelho, L. P. ; Schrotz-King, P.DKFZ* ; Vogtmann, E. ; Habermann, N. ; Niméus, E. ; Thomas, A. M. ; Manghi, P. ; Gandini, S. ; Serrano, D. ; Mizutani, S. ; Shiroma, H. ; Shiba, S. ; Shibata, T. ; Yachida, S. ; Yamada, T. ; Waldron, L. ; Naccarati, A. ; Segata, N. ; Sinha, R. ; Ulrich, C. M. ; Brenner, H.DKFZ* ; Arumugam, M. ; Bork, P. ; Zeller, G.

2019
Nature America Inc. New York, NY

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Please use a persistent id in citations: doi:10.1038/s41591-019-0406-6

Abstract: Association studies have linked microbiome alterations with many human diseases. However, they have not always reported consistent results, thereby necessitating cross-study comparisons. Here, a meta-analysis of eight geographically and technically diverse fecal shotgun metagenomic studies of colorectal cancer (CRC, n = 768), which was controlled for several confounders, identified a core set of 29 species significantly enriched in CRC metagenomes (false discovery rate (FDR) < 1 × 10-5). CRC signatures derived from single studies maintained their accuracy in other studies. By training on multiple studies, we improved detection accuracy and disease specificity for CRC. Functional analysis of CRC metagenomes revealed enriched protein and mucin catabolism genes and depleted carbohydrate degradation genes. Moreover, we inferred elevated production of secondary bile acids from CRC metagenomes, suggesting a metabolic link between cancer-associated gut microbes and a fat- and meat-rich diet. Through extensive validations, this meta-analysis firmly establishes globally generalizable, predictive taxonomic and functional microbiome CRC signatures as a basis for future diagnostics.

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Contributing Institute(s):

1. Präventive Onkologie (C120)
2. Klinische Epidemiologie und Alternsforschung (C070)
3. DKTK Heidelberg (L101)

Research Program(s):

1. 313 - Cancer risk factors and prevention (POF3-313) (POF3-313)

Appears in the scientific report 2019

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Database coverage:
; BIOSIS Previews ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Ebsco Academic Search ; IF >= 30 ; JCR ; NCBI Molecular Biology Database ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection

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