| Literature DB >> 32647386 |
Giovanni Cammarota1, Gianluca Ianiro2, Anna Ahern3, Carmine Carbone4, Andriy Temko5,6, Marcus J Claesson3, Antonio Gasbarrini2, Giampaolo Tortora4.
Abstract
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.Entities:
Mesh:
Year: 2020 PMID: 32647386 DOI: 10.1038/s41575-020-0327-3
Source DB: PubMed Journal: Nat Rev Gastroenterol Hepatol ISSN: 1759-5045 Impact factor: 46.802