Gut microbiome, big data and machine learning to promote precision medicine for cancer.
Journal
Nature reviews. Gastroenterology & hepatology
ISSN: 1759-5053
Titre abrégé: Nat Rev Gastroenterol Hepatol
Pays: England
ID NLM: 101500079
Informations de publication
Date de publication:
10 2020
10 2020
Historique:
accepted:
02
06
2020
pubmed:
11
7
2020
medline:
15
12
2020
entrez:
11
7
2020
Statut:
ppublish
Résumé
The gut microbiome has been implicated in cancer in several ways, as specific microbial signatures are known to promote cancer development and influence safety, tolerability and efficacy of therapies. The 'omics' technologies used for microbiome analysis continuously evolve and, although much of the research is still at an early stage, large-scale datasets of ever increasing size and complexity are being produced. However, there are varying levels of difficulty in realizing the full potential of these new tools, which limit our ability to critically analyse much of the available data. In this Perspective, we provide a brief overview on the role of gut microbiome in cancer and focus on the need, role and limitations of a machine learning-driven approach to analyse large amounts of complex health-care information in the era of big data. We also discuss the potential application of microbiome-based big data aimed at promoting precision medicine in cancer.
Identifiants
pubmed: 32647386
doi: 10.1038/s41575-020-0327-3
pii: 10.1038/s41575-020-0327-3
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
635-648Références
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