Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378041%3A_____%2F19%3A00518155" target="_blank" >RIV/68378041:_____/19:00518155 - isvavai.cz</a>
Result on the web
<a href="https://www.nature.com/articles/s41591-019-0405-7" target="_blank" >https://www.nature.com/articles/s41591-019-0405-7</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41591-019-0405-7" target="_blank" >10.1038/s41591-019-0405-7</a>
Alternative languages
Result language
angličtina
Original language name
Metagenomic analysis of colorectal cancer datasets identifies cross-cohort microbial diagnostic signatures and a link with choline degradation
Original language description
Several studies have investigated links between the gut microbiome and colorectal cancer (CRC), but questions remain about the replicability of biomarkers across cohorts and populations. We performed a meta-analysis of five publicly available datasets and two new cohorts and validated the findings on two additional cohorts, considering in total 969 fecal metagenomes. Unlike microbiome shifts associated with gastrointestinal syndromes, the gut microbiome in CRC showed reproducibly higher richness than controls (P < 0.01), partially due to expansions of species typically derived from the oral cavity. Meta-analysis of the microbiome functional potential identified gluconeogenesis and the putrefaction and fermentation pathways as being associated with CRC, whereas the stachyose and starch degradation pathways were associated with controls. Predictive microbiome signatures for CRC trained on multiple datasets showed consistently high accuracy in datasets not considered for model training and independent validation cohorts (average area under the curve, 0.84). Pooled analysis of raw metagenomes showed that the choline trimethylaminelyase gene was overabundant in CRC (P = 0.001), identifying a relationship between microbiome choline metabolism and CRC. The combined analysis of heterogeneous CRC cohorts thus identified reproducible microbiome biomarkers and accurate disease-predictive models that can form the basis for clinical prognostic tests and hypothesis-driven mechanistic studies.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30204 - Oncology
Result continuities
Project
<a href="/en/project/GA17-16857S" target="_blank" >GA17-16857S: Identification and comparison of plasma/stool miRNA signatures in colorectal cancer by next generation sequencing</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Nature Medicine
ISSN
1078-8956
e-ISSN
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Volume of the periodical
25
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
667-678
UT code for WoS article
000463342800028
EID of the result in the Scopus database
2-s2.0-85063766431