Application of ferroptosis-related risk assessment models in cervical cancer
Objective To develop a risk assessment model related to ferroptosis,to explore the effects of ferroptosis on cervical cancer survival,to obtain differentially expressed ferroptosis-related genes in cervical cancer,and to predict microRNAs(miRNAs)targeting genes.Methods First,a ferroptosis-related gene dataset was defined using FerrDb,the Molecular Signatures Database,and a collection of ferroptosis-related genes in existing studies.Cervical cancer data from The Cancer Genome Atlas(TCGA)and Gene Expression Omnibus databases were downloaded for differential analysis,and differentially expressed(DE)ferroptosis-related genes were screened out.Second,the risk score model was developed by least absolute shrinkage and selection operato regression analysis,and the cervical cancer data in the TCGA database were divided into two groups:high risk and low risk groups according to the score.The scoring model was evaluated by Kaplan-Meier analysis,subject working curves,clinical characteristics and immunoassays.Finally,miRNA for potential regulation of target genes was predicted by miRDB,TargetScan and starBase databases.Results A total of 28 DE ferroptosis-related genes were obtained in the cervical cancer data.The results showed that patients in the high-risk group had shorter overall survival(0.76 year vs 1.00 year,P＜0.001)and higher levels of infiltration of immunosuppressive cell infiltration than those in the low-risk group.The expression of the ferroptosis-related gene SQLE was significantly increased in cervical cancer.Finally,through database prediction,miR-579-3p was found to be the potential regulator of the expression of squalene epoxidase(SQLE).Conclusion In this study,a risk scoring model of ferroptosis gene for predicting the prognosis of cervical cancer was developed,and the potential miRNA miR-579-3p for regulating the expression of ferroptosis-related gene SQLE in cervical cancer was screened.
国家科技期刊平台
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