Cited by 327Gut microbiota and healthColorectal Cancer Treatments and StudiesCancer Genomics and Diagnostics

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Gut microbiome, big data and machine learning to promote precision medicine for cancer

Cammarota, Giovanni, Ianiro, Gianluca, Ahern, Anna, Carbone, Carmine, Temko, Andriy, Claesson, Marcus J., Gasbarrini, Antonio, Tortora, Giampaolo·2020·Nature Reviews Gastroenterology & Hepatology

DOI 10.1038/s41575-020-0327-3

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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.

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Authors: Cammarota, G., Ianiro, G., Ahern, A., Carbone, C., Temko, A., Claesson, M. J., Gasbarrini, A., & Tortora, G.
Affiliations: Università Cattolica del Sacro Cuore (IT)
University College Cork (IE)
Corresponding author: Cammarota, Giovanni
ORCID: Cammarota, Giovanni
Ianiro, Gianluca
Carbone, Carmine
Temko, Andriy
Claesson, Marcus J.
Gasbarrini, Antonio
Tortora, Giampaolo
Venue: Nature Reviews Gastroenterology & Hepatology
Publisher: Springer Science and Business Media LLC
Published: 2020-07-09
Volume: 17
Issue: 10
Pages: 635-648
ISSN: 1759-5045 (ISSN-L)
1759-5053
DOI: 10.1038/s41575-020-0327-3
OpenAlex: W3040925197
Cited by: 324
References: 250
Citations by year: 2026: 32 · 2025: 47 · 2024: 70 · 2023: 65 · 2022: 54 · 2021: 51 · 2020: 4
FWCI: 4.19
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
www.springer.com/tdm (vor)
Locations: Nature Reviews Gastroenterology & Hepatology (publishedVersion)
PubMed (publishedVersion)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
Health Sciences › Medicine › Oncology › Colorectal Cancer Treatments and Studies
Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Keywords: gut microbiota, cancer, precision medicine, machine learning, big data, cancer therapy response, cancer immunotherapy
MeSH terms: Gastrointestinal Microbiome, Machine Learning, Big Data, Humans, Neoplasms, Translational Research, Biomedical, Precision Medicine

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Gut microbiome, big data and machine learning to promote precision medicine for cancer

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