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.
| Original language | English |
|---|---|
| Pages (from-to) | 635-648 |
| Number of pages | 14 |
| Journal | Nature Reviews Gastroenterology and Hepatology |
| Volume | 17 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Hepatology
- Gastroenterology
Keywords
- Big Data
- Gastrointestinal Microbiome
- Humans
- Machine Learning
- Neoplasms
- Precision Medicine
- Translational Medical Research
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