A new study proposes a modelling strategy to identify reactions, genes and metabolites relevant in hepatocellular carcinoma using in silico and in vivo analyses. The proposed genome-scale metabolic model integrates genomic and proteomic information, and points to statins, among others, as potential chemopreventive and anticancer drugs.
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Knowledge-based analyses reveal new candidate genes associated with risk of hepatitis B virus related hepatocellular carcinoma
BMC Cancer Open Access 11 May 2020
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Acknowledgements
J.M.L. is supported by grants from the European Commission Framework Programme 7 (Heptromic, proposal number 259744), the US National Institute of Diabetes and Digestive and Kidney Diseases (1R01DK076986), the Samuel Waxman Cancer Research Foundation, the Spanish National Health Institute (SAF-2010-16055) and the Asociación Española para el Estudio del Cáncer.
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Pinyol, R., Llovet, J. Genome-scale metabolic models for hepatocellular carcinoma. Nat Rev Gastroenterol Hepatol 11, 336–337 (2014). https://doi.org/10.1038/nrgastro.2014.70
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DOI: https://doi.org/10.1038/nrgastro.2014.70