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Integrated analysis of circular RNA-associated ceRNA network in cervical cancer: Observational Study

机译:宫颈癌循环RNA相关性Cerna网络综合分析:观察研究

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Background: Circular RNAs (circRNAs) have displayed dysregulated expression in several types of cancer. Nevertheless, their function and underlying mechanisms in cervical cancer remains largely unknown. This study aimed to describe the regulatory mechanisms in cervical cancer . Methods: We downloaded the circRNAs expression profiles from Gene Expression Omnibus database, and RNAs expression profiles from The Cancer Genome Atlas database. We established a circRNA -miRNA-mRNA and circRNA -miRNA-hubgene network. The interactions between proteins were analyzed using the STRING database and hubgenes were identified using MCODE plugin. Then, we conducted a circRNA -miRNA-hubgenes regulatory module. Functional and pathway enrichment analyses were conducted using R packages “Clusterprofile”. Results: Six circRNAs, 15 miRNAs, and 158 mRNAs were identified to construct the ceRNA network of cervical cancer . PPI (protein-protein interaction) network and module analysis identified 7 hubgenes. Then, a circRNA -miRNA-hubgene subnetwork was constructed based on the 1 DEcircRNAs, 3 DEmiRNAs, and 3 DEmRNAs. The KEGG pathway analysis indicated DEmRNAs are involved in progesterone-mediated oocyte maturation, cell cycle, and oocyte meiosis. Conclusion: These ceRNAs are critical in the pathogenesis of cervical and may serve as future therapeutic biomarkers.
机译:背景:圆形RNA(Circrna)在几种类型的癌症中显示出疑虑表达。然而,宫颈癌的功能和潜在机制仍然很大程度上是未知的。本研究旨在描述宫颈癌的调节机制。方法:我们从基因表达式omnibus数据库下载了Circrnas表达谱,以及来自癌症基因组Atlas数据库的RNA表达谱。我们建立了CircRNA -MiRNA-mRNA和Circrna -MiRNA-Hubgene网络。使用MCODE插件识别蛋白质之间的相互作用,并使用MCODE插件识别HUBGENE。然后,我们进行了Circrna -MiRNA-Hubgenes监管模块。使用R包“ClusterProfile”进行功能和途径富集分析。结果:鉴定六个Circrnas,15 miRNA和158 mRNA构建宫颈癌的Cerna网络。 PPI(蛋白质 - 蛋白质相互作用)网络和模块分析确定了7个括号。然后,基于1个Defircrnas,3个DemiRNA和3个DemrNA构建Circrna -MiRNA-Hubgene子网。 Kegg途径分析表明DEMRNA参与孕酮介导的卵母细胞成熟,细胞周期和卵母细胞减数分裂。结论:这些Cernas对宫颈发病机制至关重要,可作为未来治疗生物标志物。

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