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Circular RNA Expression Profle In Laryngeal Squamous Cell Carcinoma Revealed By Microarray

Posted on:2020-01-14Degree:MasterType:Thesis
Country:ChinaCandidate:X XiaFull Text:PDF
GTID:2404330578483871Subject:Otolaryngology head and neck surgery
Abstract/Summary:PDF Full Text Request
Aims:A growing body of evidence has suggested that circular RNAs?circRNAs?have crucial functions in the regulation of gene expression,and their dysregulation has been implicated in various types of cancers.However,the roles of circRNAs in laryngeal squamous cell carcinoma?LSCC?remain largely unknown.This study investigated the global changes in the expression pattern of circRNAs in LSCC to identify potential differentially expressed circRNAs.Methods:Microarray-based circRNA expression was determined in LSCC and paired normal laryngeal tissues.Pathway analyses of the genes producing differentially expressed circRNAs were performed to predict the function of circRNAs using standard enrichment computational methods.Expression levels of candidate circRNAs and microRNAs?miRNAs?were detected by quantitative real-time PCR?qRT-PCR?.The circRNA-miRNA interactions were constructed using bioinformatics methods to predict the binding of miRNA with circRNA.Results:We identified 506 differentially expressed circRNAs from LSCC and normal laryngeal mucosa tissues.We confirmed that hsacirc0044520 and hsa circ0044529 were significantly upregulated in LSCC tissues.The most likely potential target miRNAs for hsacirc0044520 and hsacirc 0044529 were hsa-miR-4726-5p and hsa-miR-4640-5p,respectively.Functional analysis showed that hsacirc0044520 and hsa circ 0044529 were involved in the process of collagen synthesis.Conclusions:Competitive endogenous RNA network prediction and bioinformatics functional analysis revealed that hsacirc0044520 and hsacirc0044529 play important regulatory roles by sponging hsa-miR-4726-5p and hsa-miR-4640-5p,thereby providing novel insights into the tumorigenesis of LSCC.
Keywords/Search Tags:circRNA, laryngeal squamous cell carcinoma, microarray, miRNA sponges, bioinformatics analysis
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