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      Identification of the Consistently Altered Metabolic Targets in Human Hepatocellular Carcinoma

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          Abstract

          Background & Aims

          Cancer cells rely on metabolic alterations to enhance proliferation and survival. Metabolic gene alterations that repeatedly occur in liver cancer are largely unknown. We aimed to identify metabolic genes 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, ∼60% of which are not yet described in HCC. The down-regulated genes (n = 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 = 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 = 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.

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          Most cited references31

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          On the origin of cancer cells.

          O WARBURG (1956)
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            Oncomine 3.0: genes, pathways, and networks in a collection of 18,000 cancer gene expression profiles.

            DNA microarrays have been widely applied to cancer transcriptome analysis; however, the majority of such data are not easily accessible or comparable. Furthermore, several important analytic approaches have been applied to microarray analysis; however, their application is often limited. To overcome these limitations, we have developed Oncomine, a bioinformatics initiative aimed at collecting, standardizing, analyzing, and delivering cancer transcriptome data to the biomedical research community. Our analysis has identified the genes, pathways, and networks deregulated across 18,000 cancer gene expression microarrays, spanning the majority of cancer types and subtypes. Here, we provide an update on the initiative, describe the database and analysis modules, and highlight several notable observations. Results from this comprehensive analysis are available at http://www.oncomine.org.
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              Phosphoglycerate dehydrogenase diverts glycolytic flux and contributes to oncogenesis.

              Most tumors exhibit increased glucose metabolism to lactate, however, the extent to which glucose-derived metabolic fluxes are used for alternative processes is poorly understood. Using a metabolomics approach with isotope labeling, we found that in some cancer cells a relatively large amount of glycolytic carbon is diverted into serine and glycine metabolism through phosphoglycerate dehydrogenase (PHGDH). An analysis of human cancers showed that PHGDH is recurrently amplified in a genomic region of focal copy number gain most commonly found in melanoma. Decreasing PHGDH expression impaired proliferation in amplified cell lines. Increased expression was also associated with breast cancer subtypes, and ectopic expression of PHGDH in mammary epithelial cells disrupted acinar morphogenesis and induced other phenotypic alterations that may predispose cells to transformation. Our findings show that the diversion of glycolytic flux into a specific alternate pathway can be selected during tumor development and may contribute to the pathogenesis of human cancer.
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                Author and article information

                Contributors
                Journal
                Cell Mol Gastroenterol Hepatol
                Cell Mol Gastroenterol Hepatol
                Cellular and Molecular Gastroenterology and Hepatology
                Elsevier
                2352-345X
                September 2017
                31 May 2017
                : 4
                : 2
                : 303-323.e1
                Affiliations
                [1 ]Department of Medicine II, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
                [2 ]Molecular Hepatology Section, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
                [3 ]Medizinisches Proteom-Center, Department of Clinical Proteomics, Ruhr-Universität Bochum, Bochum, Germany
                [4 ]Institute of Virology, University Hospital, University Duisburg-Essen, Essen, Germany
                [5 ]Department of Forensic Medicine and Veterinary Toxicology, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt
                [6 ]Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany
                Author notes
                [] Correspondence Address correspondence to: Steven Dooley, Department of Medicine II, Molecular Hepatology Section, Medical Faculty Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3 (H42, Floor 4), 68167 Mannheim, Germany.Department of Medicine IIMolecular Hepatology SectionMedical Faculty MannheimUniversity of HeidelbergTheodor-Kutzer-Ufer 1-3 (H42, Floor 4)68167 MannheimGermany steven.dooley@ 123456medma.uni-heidelberg.de
                Article
                S2352-345X(17)30086-3
                10.1016/j.jcmgh.2017.05.004
                5560912
                28840186
                6926d115-c94c-48f0-ba53-bb53061b1285
                © 2017 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 16 March 2017
                : 19 May 2017
                Categories
                Original Research

                liver cancer,hcc,tumor metabolism,emt, epithelial to mesenchymal transition,fa, fatty acid,hcc, hepatocellular carcinoma,logfc, log of fold change,nafld, nonalcoholic fatty liver disease,nash, nonalcoholic steatohepatitis,nb, nucleotide biosynthesis,oxphos, oxidative phosphorylation,ppp, pentose phosphate pathway,tca, tricarboxylic acid,tcga, the cancer genome atlas,xm, xenobiotics metabolism

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