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

被引:0
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作者
Giovanni Cammarota
Gianluca Ianiro
Anna Ahern
Carmine Carbone
Andriy Temko
Marcus J. Claesson
Antonio Gasbarrini
Giampaolo Tortora
机构
[1] Fondazione Policlinico Universitario Agostino Gemelli-IRCCS,Gastroenterology Department
[2] Università Cattolica del Sacro Cuore,School of Microbiology and APC Microbiome Ireland
[3] University College Cork,Oncology Department
[4] Fondazione Policlinico Universitario Agostino Gemelli-IRCCS,School of Engineering
[5] Università Cattolica del Sacro Cuore,undefined
[6] University College Cork,undefined
[7] Qualcomm ML R&D,undefined
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摘要
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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页码:635 / 648
页数:13
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