基于生物信息学构建宫颈癌预后相关ceRNA网络OA北大核心CSTPCD

Objective To comprehensively analyze the circulatory RNA-long non-coding RNA-microRNA-messenger RNA(circRNA-lncRNA-miRNA-mRNA)network in cervical cancer and construct a prognostic model.Methods Differential and key genes were ana-lyzed using bioinformatics based on data from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO)databases.Prognostic mRNA models were constructed based on TCGA database using univariate,Least Absolute Shrinkage and Selection Operator(LASSO),and multivariate Cox regression analyses and validated using the GEO database.The R package and Cystoscape software were used to construct a nomogram model and competing endogenous(ceRNA)network of circRNA-lncRNA-miRNA-mRNA in cervical cancer.Results A prognostic model including five mRNAs was constructed using univariate,LASSO,and multivariate Cox regression analyses,which had area under the receiver operating characteristic curve AUC values of 0.71,0.71,and 0.70 at 1,2,and 3 years,respec-tively,indicating its sensitivity and specificity in cervical cancer prognosis.Predictive results were validated using the GSE44001 dataset.The C-index of the nomogram model for this prognostic model was 0.707.In this study,a ceRNA network comprising 39 circRNAs,27 lncRNAs,12 miRNAs,and five mRNAs was constructed.Conclusion The network constructed in this study can help comprehensively elucidate the mechanism of ceRNAs in cervical cancer,and the construction of prognostic and Nomogram models can predict patient prog-nosis.