Research Article Details

Article ID: A15570
PMID: 28840186
Source: Cell Mol Gastroenterol Hepatol
Title: Identification of the Consistently Altered Metabolic Targets in Human Hepatocellular Carcinoma.
Abstract: BACKGROUND & AIMS: Cancer cells rely on metabolic alterations to enhance proliferation and survival. Metabolic&#160;gene alterations that repeatedly occur in liver cancer are&#160;largely unknown. We aimed to identify metabolic genes&#160;that are consistently deregulated, and are of potential clinical significance in human hepatocellular carcinoma (HCC). METHODS: We studied the expression of 2,761 metabolic genes in 8 microarray datasets comprising 521 human HCC tissues. Genes exclusively up-regulated or down-regulated in 6 or more datasets were defined as consistently deregulated. The consistent genes that correlated with tumor progression markers (ECM2 and MMP9) (Pearson correlation P < .05) were used for Kaplan-Meier overall survival analysis in a patient cohort. We further compared proteomic expression of metabolic genes in 19 tumors vs adjacent normal liver tissues. RESULTS: We identified 634 consistent metabolic genes, &#8764;60% of which are not yet described in HCC. The down-regulated genes (n&#160;= 350) are mostly involved in physiologic hepatocyte metabolic functions (eg, xenobiotic, fatty acid, and amino acid metabolism). In contrast, among consistently up-regulated metabolic genes (n&#160;= 284) are those involved in glycolysis, pentose phosphate pathway, nucleotide biosynthesis, tricarboxylic acid cycle, oxidative phosphorylation, proton transport, membrane lipid, and glycan metabolism. Several metabolic genes (n&#160;= 434) correlated with progression markers, and of these, 201 predicted overall survival outcome in the patient cohort analyzed. Over 90% of the metabolic targets significantly altered at the protein level were similarly up- or down-regulated as in genomic profile. CONCLUSIONS: We provide the first exposition of the consistently altered metabolic genes in HCC and show that these genes are potentially relevant targets for onward studies in preclinical and clinical contexts.
DOI: 10.1016/j.jcmgh.2017.05.004