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

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

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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Crossref · 10.1038/s41575-020-0327-3

Cites

248 of 248 references verified0 citation errors · 0 not checkable

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  • The microbiome plays a pivotal role in cancer initiation, progression, and treatment response.

    “Recognition of the pivotal role of the microbiome in cancer initiation, progression, and treatment response has opened new avenues for therapeutic intervention [7–12]”

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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
Venue
Nature Reviews Gastroenterology & Hepatology
Published
2020-07-09
Volume
17
Issue
10
Pages
635-648
ISSN
  • 1759-5045 (ISSN-L)
  • 1759-5053
OpenAlex
W3040925197
Cited by
324
References
250
Citations by year
2026: 32 · 2025: 47 · 2024: 70 · 2023: 65 · 2022: 54 · 2021: 51 · 2020: 4 · 2014: 1
FWCI
4.19
Type
journal article
Language
en
Open access
closed
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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