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pmid:30186410
Identification of key pathways and biomarkers in sorafenib-resistant hepatocellular carcinoma using bioinformatics analysis.
Danping Huang · Weiqu Yuan · Hanmin Li · Shaodong Li · Zuanguang Chen · Hongzhi Yang
Experimental and therapeutic medicine · 2018 doi:10.3892/etm.2018.6427
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Experiment
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Complete file
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However, individual patients exhibit varying responses to sorafenib and the development of sorafenib resistance has been a new challenge for its clinical efficacy. The current study identified gene biomarkers and key pathways in sorafenib-resistant HCC using bioinformatics analysis. Gene dataset GSE73571 was obtained from the Gene Expression Omnibus (GEO) database, including four sorafenib-acquired resistant and three sorafenib-sensitive HCC phenotypes. Differentially expressed genes (DEGs) were identified using the web tool GEO2R. Functional and pathway enrichment of DEGs were analyzed using the Database for Annotation, Visualization and Integrated Discovery and the protein-protein interaction (PPI) network was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins and Cytoscape. A total of 1,319 DEGs were selected, which included 593 upregulated and 726 downregulated genes. Functional and pathway enrichment analysis revealed DEGs enriched in negative regulation of endopeptidase activity, cholesterol homeostasis, DNA replication and repair, coagulation cascades, insulin resistance, RNA transport, cell cycle and others. Eight hub genes, including kininogen 1, vascular cell adhesion molecule 1, apolipoprotein C3, alpha 2-HS glycoprotein, erb-b2 receptor tyrosine kinase 2, secreted protein acidic and cysteine rich, vitronectin and vimentin were identified from the PPI network. 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PPP1R3B, SOCS3, SLC2A2, PRKAG2, PRKAB2, NFKBIA, CREB3L3, SLC27A3, CPT1A, PCK1"], ["hsa01100: Metabolic pathways", "74", "11.094", "0.006009", "TM7SF2, ALAD, OGDHL, ADH1C, ADH1A, AGXT, CKB, PTGIS, P4HA2, ST3GAL5, MAT1A, RGN, DAO, ITPK1, AGPAT3, AGPAT2, GATM, ACADS, SPTLC3, FAXDC2, PISD, PNPLA3, PMM1, ALDH3B1, DGAT2, CYP27A1, HAO2, EXT1, AOC1, AKR1D1, LCT, AOC3, ACAA1, GALNT2, ENPP7, ASS1, HSD17B2, ALDOC, ENPP3, CERS4, PLPP3, PIPOX, THTPA, B3GNT5, DHCR7, PLA2G12B, PEMT, HAAO, ENO3, ETNK2, FUT2, BDH1, GAL3ST1, ACSL5, CYP19A1, TCIRG1, MOGAT3, ST6GAL1, NDUFA2, SI, MAOB, HOGA1, AMPD3, IDNK, PCK1, POLD4, BAAT, HMGCS2, SMPD1, LIPC, PHYKPL, PON3"], ["hsa04975: Fat digestion and absorption", "7", "1.049", "0.007472", "APOA4, ABCG8, MOGAT3, DGAT2, PLA2G12B, PLPP3, AGPAT2"], [""], ["B, Downregulated genes"], [""], ["Name", "Gene count", "%", "P-value", "Genes"], [""], ["hsa03008: Ribosome biogenesis in eukaryotes", "17", "3.108", "<0.001", "XPO1, GTPBP4, UTP6, UTP15, GNL3L, BMS1, DROSHA, WDR36, 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