免疫相关LncRNA与乳腺癌预后关系分析及预后风险模型建立

Analysis of relationship between immune-related LncRNA and prognosis of breast cancer and establishment of prognostic risk model

目的探讨免疫相关LncRNA的表达与乳腺癌预后的关系,构建乳腺癌免疫相关LncRNA预后风险模型。方法从TCGA公共数据库下载乳腺癌的转录组数据和临床病理信息,利用Perl软件提取乳腺癌数据表达矩阵,采用R语言使用共表达法提取免疫相关LncRNA,单因素和多因素Cox回归分析筛选预后相关LncRNA,根据最佳AIC值确定免疫预后相关LncRNA构建预后风险模型,根据风险值将患者分为低分险组和高风险组,采用Kaplan-Meier分析法进行生存分析并绘制两组患者生存曲线,使用ROC曲线对预后风险模型准确性进行评估,同时单因素和多因素Cox回归分析评估预后风险模型与肿瘤预后相关性。结果从TCGA数据中共下载1041例乳腺癌样本,提取到14142个LncRNA表达谱,通过共表达法获得免疫相关LncRNA 644个,对免疫相关LncRNA进行单因素Cox回归分析筛选出14个LncRNA,对14个LncRNA进行多因素Cox回归分析,根据最佳AIC值筛选出6个LncRNA用于构建预后风险模型,根据风险值将患者分为低分险组和高风险组,生存分析显示两组患者差异有统计学意义,同时预后风险模型曲线下AUC值为0.703,模型具有较好的准确性。多因素Cox回归分析结果显示,年龄和患者风险评分为乳腺癌的独立危险因素。结论免疫相关LncRNA预后风险模型为乳腺癌的独立预后影响因子,可以有效预测乳腺癌患者的生存预后,可作为乳腺癌独立的预后生物标志物。

Objective To investigate the relationship between the expression of immune-related LncRNA and the prognosis of breast cancer,and to construct an immune-related LncRNA risk model for predicting prognosis of breast cancer.Methods The transcriptome data and clinicopathological information of breast cancer from the TCGA public database were downloaded,and the expression matrix of breast cancer data was extracted using Perl software.Immune-related LncRNA was extracted using the co-expression method via R language,and the prognosis-related LncRNA was screened by univariate and multivariate Cox regression analyses.According to the optimal AIC value,immune-related LncRNA for predicting prognosis was determined to construct a prognostic risk model,and the patients were divided into low-risk group and high-risk group according to the risk value.Kaplan-Meier analysis method was used for survival analysis and survival curves of patients in the two groups were drawn.ROC curve was used to evaluate the accuracy of the prognostic risk model,while univariate and multivariate Cox regression analyses were used to evaluate the correlation between the prognostic risk model and tumor prognosis.Results A total of 1041 breast cancer samples were downloaded from TCGA data,and 14142 LncRNA expression profiles were extracted.In addition,644 immune-related LncRNAs were obtained by co-expression method.Fourteen LncRNAs were screened by the univariate Cox regression analysis of immune-related LncRNAs.The 14 LncRNAs were subjected to multivariate Cox regression analysis,and 6 LncRNAs were screened according to the optimal AIC value to construct a prognostic risk model.Patients were divided into low-risk and high-risk groups according to the risk value.Survival analysis showed that there were differences between the two groups of patients,and the AUC value of the prognostic risk model was 0.703,indicating that the model had good accuracy.Multivariate Cox regression analysis revealed that patient age and risk score were independent risk factors for breast cancer.Conclusion The immune-related LncRNA prognostic risk model is an independent risk factor for prognosis of breast cancer,which can effectively predict the survival prognosis of breast cancer patients and can be used as an independent prognostic biomarker for breast cancer.