Objective:To explore the new molecular typing and prognostic role of breast cancer based on G-quadruplex-related genes using bioinformatic methods and to construct a risk model of G-quadruplex-related genes for predicting the prognosis of breast cancer patients.Methods:Breast cancer transcrip-tome data and clinical information from The Cancer Genome Atlas(TCGA)database were utilized to systematically search for G-quadruplex-related studies on PubMed,screened for the inclusion of G-quadruplex-related gene data,and identified the regulatory subtypes of G-quadruplex-related genes using consensus clustering,which were analyzed by Gene Set Enrichment Analysis(GESA),Cox re-gression analysis and LASSO regression analysis and other bioinformatics methods to construct a G-quadruplex-related gene risk score model for predicting the prognosis of breast patients,and further its predictive efficacy was tested.Results:G-quadruplex-related gene regulatory subtypes were identified based on G-quadruplex-related genes.There were significant differences in overall survival,gene set pathway enrichment analysis,and drug IC50 among different subtypes,and eight G-quadruplex-related genes(RPS9,YBX1,FOS,VIM,RPL10,MYC,TAF15,and HNRNPA1)were screened out for constructing a G-quadruplex-related gene regulatory subpopulation predictive models.The results of Kaplan-Meier analysis suggested that the low-scoring group had worse outcomes than the high-scoring group(P=0.02),and the area under the ROC curve(AUC)of the risk model for predicting 1-,3-,and 5-year overall survival was 0.80,0.77,and 0.78,respectively,for the training set,and 0.81,0.74,and 0.75,respectively,for the validation set.Multifactorial Cox regression analysis showed that risk score was an independent predictor of prognosis in breast cancer patients(P<0.001).Conclusion:We constructed a risk score prognostic model based on G-quadruplex-related genes and identified breast cancer subtypes,and the prognostic model is valuable in prognostic prediction for breast cancer.
Breast CancerG-quadruplexPrognostic ModelMolecular TypingTCGA Da-tabase
NETL
NSTL
万方数据
