Objective To construct a prognostic model of breast cancer based on cuproptosis-related microRNAs(CRMs)to predict the prognosis of patients,and to explore its relationship with the immune microenvironment of breast cancer.Methods The expression profiles of miRNA and the clinical data of breast cancer patients were downloaded from the Cancer Genome Atlas(TCGA)and collected cuproptosis-related gene sets.The miRNAs associated with cuproptosis were screened with Pearson correlation.The risk score model of miRNAs was established by univariate Cox and multivariate Cox regression models.Finally,the tumor-related pathways and immune-related function between high and low risk groups of the model were analyzed.Results A total of 11 cuproptosis-related miRNAs with independent prognostic were screened out to establish the prognostic model.The AUC predictive value of the model for 1-year 3-year and 5-year survival rate were 0.732,0.688 and 0.686,showing good predictive performance.The overall survival(OS)of patients in the high-risk group was significantly lower than that of the low-risk group(P＜0.05).Further analysis showed that immune cells,functions,and immune checkpoints differed between the high-risk and low-risk groups.Conclusion The 11 miRNAs associated with cuproptosis,and their characteristics may be molecular biomarkers and therapeutic targets for breast cancer.
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