Recently, Park Hailong, a researcher at the Dalian Institute of Chemical Physics, Chinese Academy of Sciences, used bioinformatics and machine learning methods to define liver cancer subtypes with significant metabolic differences based on metabolite-protein interaction networks and cancer multi-omics data.
By regulating the metabolism of energy and nutrients, metabolic reprogramming can promote the rapid growth and proliferation of cells, which is considered a unique sign of cancer cells
Studies have found that in terms of metabolism, liver cancer subtypes with poor prognosis are mainly closely related to hypoxia in the metabolic environment, hypermethylation of metabolic enzymes, down-regulation of many metabolic pathways, and accumulation of a variety of fatty acids
Related paper information: http://doi.
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