Meta-analysis of fecal metagenomes reveals global microbial signatures that are specific for colorectal cancer
Language English Country United States Media print-electronic
Document type Journal Article, Meta-Analysis, Research Support, N.I.H., Extramural
Grant support
716575
European Research Council - International
P30 CA042014
NIH HHS - United States
R01 CA189184
NIH HHS - United States
R01 CA189184
NCI NIH HHS - United States
U01 CA206110
NCI NIH HHS - United States
R01 CA207371
NIH HHS - United States
ZIA CP010198
Intramural NIH HHS - United States
P30 CA042014
NCI NIH HHS - United States
U01 CA206110
NIH HHS - United States
669830
European Research Council - International
R01 CA207371
NCI NIH HHS - United States
268985
European Research Council - International
PubMed
30936547
PubMed Central
PMC7984229
DOI
10.1038/s41591-019-0406-6
PII: 10.1038/s41591-019-0406-6
Knihovny.cz E-resources
- MeSH
- Adenoma genetics microbiology MeSH
- Models, Biological MeSH
- Databases, Genetic MeSH
- Species Specificity MeSH
- Feces microbiology MeSH
- Cohort Studies MeSH
- Colorectal Neoplasms genetics microbiology MeSH
- Middle Aged MeSH
- Humans MeSH
- Metagenome * MeSH
- Biomarkers, Tumor metabolism MeSH
- Reproducibility of Results MeSH
- Aged MeSH
- Gastrointestinal Microbiome genetics MeSH
- Check Tag
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Meta-Analysis MeSH
- Research Support, N.I.H., Extramural MeSH
- Names of Substances
- Biomarkers, Tumor MeSH
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.
Biochemistry Department Chemistry Institute University of São Paulo São Paulo Brazil
Department CIBIO University of Trento Trento Italy
Department of Bioinformatics Biocenter University of Würzburg Würzburg Germany
Department of Biology ETH Zürich Zürich Switzerland
Department of Molecular Biology of Cancer Institute of Experimental Medicine Prague Czech Republic
Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD USA
Division of Cancer Genomics National Cancer Center Research Institute Tokyo Japan
Faculty of Healthy Sciences University of Southern Denmark Odense Denmark
Genome Biology Unit European Molecular Biology Laboratory Heidelberg Germany
German Cancer Consortium German Cancer Research Center Heidelberg Germany
Graduate School of Public Health and Health Policy City University of New York New York NY USA
IEO European Institute of Oncology IRCCS Milan Italy
Institute of Science and Technology for Brain Inspired Intelligence Fudan University Shanghai China
Italian Institute for Genomic Medicine Turin Italy
Max Delbrück Centre for Molecular Medicine Berlin Germany
Molecular Medicine Partnership Unit Heidelberg Germany
PRESTO Japan Science and Technology Agency Saitama Japan
Research Fellow of Japan Society for the Promotion of Science Tokyo Japan
School of Life Science and Technology Tokyo Institute of Technology Tokyo Japan
Structural and Computational Biology Unit European Molecular Biology Laboratory Heidelberg Germany
The Jackson Laboratory for Genomic Medicine Farmington CT USA
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