Screening Of Potential Biomarkers For Head And Neck Squamous Cell Carcinoma Based On Bioinformatics

Objective:Head and neck squamous cell carcinoma(HNSCC)is a type of invasive malignancy that is the seventh most common cancer in the world.HNSCC is still one of the most challenging malignancies to date.Therefore,it is important to screen for a biomarker that can guide the early diagnosis of HNSCC.The recently proposed competitive endogenous RNA(ce RNA)network indicates that m RNA and lnc RNA regulate life activities through competition for shared mi RNAs.Therefore,screening a ce RNA regulatory network for HNSCC treatment is also significant.The rapid development of high-throughput assays such as genomics and proteomics in recent years has greatly increased the number of tumor RNA,DNA and protein biomarkers.This bioinformatics method based on high-throughput sequencing data can be screened simultaneously.Thousands of biomolecules ultimately screen for genes that are differentially expressed in disease,opening up a new channel for studying genetic interaction networks and molecular pathways.Methods:1.Through the TCGA database,1513 protein-coding genes were differentially expressed,of which 434 were up-regulated and 1079 were down-regulated;188 lnc RNAs were differentially expressed,of which 139 were up-regulated and 49 were down-regulated;There were 46 genes(pseudogene),of which 28 were up-regulated and 18 were down-regulated.In addition,471 differentially expressed mi RNAs were screened,272 were up-regulated,87 were significantly up-regulated,198 were down-regulated,81 were significantly down-regulated,and 5 ce RNA networks were screened: MAG12-mi R-374a-5p-MEIS1,NEAT1-let-7e-5p-MEH2,SNHG3-mi R-340-5p-C16orf74,NEAT1-mi R-181C-5p-CELSR3 and NEAT1-let-7e-5p-PIPNM3.2.The HNSCC chip data was downloaded from the GEO database,and the differentially expressed gene gene module was screened based on the phenotypic data of each sample according to the phenotypic data in the GEO database,and the genes in the selected modules were GO enriched.Analysis,and finally use cytoscape software to visualize the module genes and screen out the hub genes.3.The blood samples from HNSCC patients were collected for q PCR quantitative analysis.The tissue sections of laryngeal cancer patients were analyzed by immunohistochemistry,and the genes selected by bioinformatics methods were verified.Results:1.Through the TCGA database,1513 protein-coding genes were differentially expressed,of which 434 were up-regulated and 1079 were down-regulated;188 lnc RNAs were differentially expressed,of which 139 were up-regulated and 49 were down-regulated;There were 46 genes(pseudogene),of which 28 were up-regulated and 18 were down-regulated.In addition,471 differentially expressed mi RNAs were screened,272 were up-regulated,87 were significantly up-regulated,198 were down-regulated,81 were significantly down-regulated,and 5 ce RNA networks were screened: MAG12-mi R-374a-5p-MEIS1,NEAT1-let-7e-5p-MEH2,SNHG3-mi R-340-5p-C16orf74,NEAT1-mi R-181C-5p-CELSR3 and NEAT1-let-7e-5p-PIPNM3.2.WGCNA The module analysis results show that the brown module is significantly related to HNSCC.According to the brown module gene visualized by cytoscape,we screened possible pivot genes: SPINK5,PPL,SCEL and PITX1.3.The expression of NEAT1 was up-regulated and the expression of mi R-181c-5p was down-regulated in HNSCC patients by q PCR.The results of immunohistochemistry showed that the expression of CELSR3 in laryngeal carcinoma was relatively high,and it was expressed in adjacent tissues and normal tissues.Low or no expression.