Bioinformatics analysis of potential targets influencing the prognosis of OSCC
Objective:To apply bioinformatics technology to screen differentially expressed genes(DEGs)in oral squamous cell carcinoma(OSCC)microarray data to further predict potential targets and prognostic genes.Methods:GSE23558 and GSE138206 datasets were downloaded from gene expression omnibus(GEO)database to analyze DEGs of OSCC and normal oral mucosa tissues online with the help of GEO2R;the associated pathways,protein-protein interaction(PPI)network and key network nodes were analyzed,and the top 25 hub genes were screened and verified through multiple external databases.The Timer website was used to analyze the relationship between hub genes and immune cell infiltration and immune checkpoints.Based on Lasso-Cox algorithm,a prognostic risk model of related genes was constructed.A nomogram containing prognostic risk model and multiple clinicopathological factors was constructed.Results:Integrin α3(ITGA3)and secreted phosphoprotein 1(SPP1)genes were highly expressed in head and neck squamous cell carcinoma(HNSCC)tissues and were correlated with poor prognosis of patients(P<0.05).ITGA3 was considered to be a potential immunotherapy target with future clinical significance.The prognostic model based on SPP1 and ITGA3 genes can effectively predict the prognosis of OSCC patients.Conclusion:ITGA3 and SPP1 may be biomarkers for the prognosis of OSCC patients.These results provide new clues for exploring the molecular mechanism and targeted therapy of OSCC.
国家科技期刊平台
NSTL
万方数据
