Journal of Cancer · 2019 · 57 citations · 57 references
MedicineCancer BiologyOncologyCancer GeneticsGene ExpressionMolecular OncologyCancer BiomarkersCancer GenomicsHepatocellular CarcinomaLiver CancerMicrorna BiologyNoncoding Rna In CancerEnrichment AnalysisHepatocellular Carcinoma PathogenesisMicrorna ClustersMicrorna Function In CancerMicrorna In CancerMicrorna-protein InteractionsPrognostic PredictionProtein-protein Interaction Modules
Objective: MicroRNAs (miRNAs) have been explored in malignancies. We investigated the functions of clustered miRNAs hsa-miR-221/222-3p in hepatocellular carcinoma (HCC). Methods: Human miRNA tissue atlas website was determined expression levels in liver tissue. Four databases, TarBase, miRTarBase, miRecords and miRPathDB, were found experimentally validated target genes of clustered miRNAs. TargetScanHuman was predicted target genes. The STRING website was depicted protein-protein interaction (PPI) networks. The OncoLnc website analyzed prognostic values for hsa-miR-221/222-3p and their target genes. The MCODE plugin calculated modules of PPI networks. Receiver operating characteristic (ROC) curves were predicted 1, 3, and 5 years prognostic values. Results: Expression of clustered miRNAs was high in liver tissues. A total of 1577 target genes were identified. Enrichment analysis showed that target genes were enriched mainly in cancer, Wnt signaling and ErbB signaling pathways. Two modules were calculated using PPI networks. Has-miR-221-3p was not associated with prognosis (P = 0.401). Has-miR-222-3p and target genes ESR1, TMED7, CBFB, ETS2, UBE2J1 and UBE2N of the clustered miRNAs were associated with HCC survival (all P < 0.05). Has-miR-222-3p, CBFB, and UBE2N showed good performance of ROC in prognosis prediction at 1, 3, and 5 years (all area under curves > 0.600).
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Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks
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