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@# Objective: To identify the differentially expressed genes (DEGs) between hepatocellular carcinoma (HCC) tissues and normal liver tissues by bioinformatic methods, and to explore the intrinsic mechanism of these candidate genes involving in the occurrence and development of HCC from transcriptome level as well as the clinical significance of their associations with the prognosis of HCC patients. Methods: Gene expression profiles of GSE45267, GSE64041, GSE84402 and TCGA were downloaded from GEO (Gene Expression Omnibus) and TCGA(The Cancer GenomeAtlas), respectively. R software and Bioconductor packages were used to identify the DEGs between HCC tissues and para-cancer tissues, and then Gene Ontology (GO) Enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, Protein-Protein Interaction (PPI) network analysis and survival analysis were performed. Results: Forty-six up-regulated genes and 154 down-regulated genes were screened out,and GO enrichment analysis showed that these DEGs were mainly related to cell division, proliferation, cycle regulation, oxidation-reduction process and certain metabolic pathways. KEGG pathway analysis revealed that DEGs were mainly involved in tryptophan metabolism, retinol metabolism and other metabolic pathways as well as p53 pathway. Over-expression of a panel of up-regulated genes (CCNA2, CDK1, DLGAP5, KIF20A, KPNA2 and MELK) was shown to be significantly negatively correlated with the prognosis of HCC patients in the TCGA dataset (all P<0.01). Conclusion: A set of up-regulated hub genes that are negatively correlated with prognosis will provide potential guiding value for the clinical research on the diagnosis and treatment of HCC.
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Objective To investigate the differential expression of circular RNA ( circRNA ) in patients with chronic HBV infection of different stages.Methods Seven patients with chronic HBV infection admitted in Taizhou People's Hospital from October 2014 to October 2015 were enrolled, including 4 with chronic hepatitis B ( CHB ) and 3 chronic HBV carriers;3 healthy subjects served as controls. Peripheral blood mononuclear cells (PBMCs) were separated,and the expression of circRNA molecules in PBMCs were detected by new generation of circRNA microarray and validated by fluorescent quantitative PCR.The interaction sites between circRNA and miRNA were predicted with Arraystar miRNA target prediction software.Target genes regulated by the circRNA related to miRNA were analyzed by Gene oncology (Go) and Kyoto encyclopedia of genes and genomes (KEGG) analysis.SPSS 17.0 software was used for statistical analysis.Results Compared with the healthy controls , 137 circRNA molecules of differential expression were found in patients with chronic hepatitis B , of which 89 were up-regulated and 48 were down-regulated; while 444 circRNA molecules of differential expression , of which 130 were up-regulated (>5 fold in 34 ) and 314 down-regulated , were found in chronic HBV carriers.Compared with chronic HBV carriers , 1041 circRNA molecules of differential expression were found in CHB patients , including 663 up-regulated and 378 down-regulated (>5 fold in 54).There were many miRNA responsive elements which complementary with seed regions on miRNA in different circRNA molecules.Target gene analysis demonstrated that 533 target genes regulated by hsa_circ_0038646 were related to miRNAs , 249 target genes found in hsa_circ_0087354 were related to microRNAs.GO analysis showed that function of target genes regulated by hsa_circ_0038646 related to miRNA mainly enriched in activin binding.Function of target genes regulated by hsa_circ_0087354 related to miRNA mainly enriched in armadillo repeat domain binding.KEGG analysis showed that hsa_circ_0038646 molecules related to miRNA mainly involved in T cell receptor , estrogen receptor signaling pathway and so on.Hsa_circ_0087354 molecules related to miRNA mainly involved in adherens junction , MAPK signaling pathway and so on. Conclusion There are differential expressions of circRNA in patients at different clinical stages of chronic HBV infection , which might be involved in immune regulation of chronic HBV infection through the regulation of multiple target genes and signaling pathways.