铜死亡相关miRNAs在乳腺癌中的预后价值及与免疫微环境的关系

Prognostic Value of Cuproptosis-related miRNAs in Breast Cancerand its Relationship with Immune Microenvironment

目的基于铜死亡相关miRNAs(CRMs)构建乳腺癌预后模型以评估预后,并探讨其与乳腺癌免疫微环境的关系。方法通过癌症基因组图谱(TCGA)下载乳腺癌基因表达谱数据和临床信息,获取miRNA表达数据,与收集的铜死亡相关的基因集通过Pearson相关性计算筛选出CRMs,然后进行单因素和多因素Cox分析构建预测模型,对模型高低风险组进行功能富集分析和免疫相关功能分析。结果共筛选11个与乳腺癌预后有关的CRMs用于建立预测模型,该模型1、3、5年的生存率AUC值分别为0.723、0.688和0.686,具有良好的预测效能,高风险组患者总生存期(OS)明显低于低风险组(P<0.05)。进一步分析表明免疫细胞及功能和免疫检查点在高低风险组中存在差异。结论11个铜死亡相关miRNAs及其特征可能是乳腺癌预后的分子生物标志物和治疗靶点。

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.