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To identify microRNAs and mRNA associated with carcinogenesis of cervical cancer and investigate the molecular mechanisms of cervical cancer,a microRNA microarray GSE30656 and three mRNA microarrays GSE63514,GSE39001 and GSE9750 for cervical cancer were retrieved from Gene Expression Omnibus.And these datasets were analyzed to obtain differentially expressed genes(DEGs)and microRNAs using GEO2R tool.Gene Ontology(GO)and pathway enrichment analysis for DEGs were performed by DAVID software.Protein-protein interaction(PPI)analysis for DEGs was conducted by STRING software and visualized by Cytoscape,followed by hub gene identification,biological process and pathway enrichment analysis of the module selected from PPI network using MCODE plugin.In addition,miRecords was applied to predict the targets of differentially expressed microRNAs.A total of 44 DEGs and 15 differentially expressed microRNAs were identified.These DEGs were mainly enriched in GO terms related to cell cycle.In the PPI network,CDK1,TOP2A,AURKA,MCM2 had higher degrees.A significant module was detected from PPI network.AURKA,MCM2 and KIF20A were with higher degrees in this module,while the genes in module were mainly involved in cell cycle and DNA replication pathway.Moreover,ESR1 was predicted as the potential target of 13 miRNAs.10 DEGs were identified as potential targets of miR-203.In conclusion,the results indicated that microarray dataset analysis might provide a useful protocol for uncovering hidden cutes and patterns successfully to identify determinants of carcinogenesis of cervical cancer.The functional studies of candidate genes and miRNAs from these databases might lead to an increased understanding of development of cervical cancer.