The DOI matches its Crossref record; 248 of the 250 references it cites were found in a registry or an index.
Gut microbiome, big data and machine learning to promote precision medicine for cancer
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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“Recognition of the pivotal role of the microbiome in cancer initiation, progression, and treatment response has opened new avenues for therapeutic intervention [7–12]”
From Phage therapy in oncology: opportunities for cancer prevention and treatment (2026) · cites this paper as [9]
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Metadata
- 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
- 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
- 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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