摘要
目的联合免疫相关长链非编码RNA(lncRNA),探索一种新的用于评估乳腺癌预后的模型。方法从癌症基因组图谱数据库中提取乳腺癌(BRCA)差异表达的lncRNA,结合ImmLnc数据库,筛选出与乳腺癌免疫相关的lncRNA。采用单因素Cox回归分析及多因素Cox回归分析筛选与乳腺癌预后相关的lncRNAs,并建立风险模型;依据中位风险评分将BRCA患者分为高风险组和低风险组。运用Kaplan-Meier生存分析和受试者工作特征(ROC)曲线检验该模型的辨别力;并计算模型中的lncRNAs和临床病理特征的关系。结果单因素Cox回归分析筛选出10个与BRCA患者预后相关的免疫相关lncRNA,多因素Cox回归分析最终确定LINC00578、NIFK-AS1和LINC00667是BRCA患者预后的独立预测因素,并建立BRCA患者预后的预测模型。Kaplan-Meier分析显示高风险组和低风险组的患者生存率差异有统计学意义(P<0.001)。ROC曲线分析显示,该模型预测BRCA患者预后具有良好的辨别能力曲线下面积0.706(95%CI0.676~0.771,P<0.001)。结合BRCA患者的临床信息发现,模型中的lncRNA和T分期关系密切(P<0.05)。结论本研究成功创建了一种用于BRCA患者预后评估的新评分模型。
Objective Combined with immune-associated long-chain non-coding RNA(lncRNA),to explore a new model for evaluating the prognosis of breast cancer(BRCA).Methods The differentially expressed lncRNAs in the BRCA was extracted from The Cancer Genome Atlas database combined with ImmLnc database to screen the lncRNA related to BRCA immunity.Univariate Cox regression analysis and multivariate Cox regression analysis were used to screen the lncRNAs related to the prognosis of BRCA,and a risk model was established.According to the median risk score,BRCA patients were divided into the high risk group and the low risk group.Kaplan-Meier survival analysis and receiver operator characteristics(ROC)curve were used to test the discrimination of the model,and the correlation between lncRNA and clinical or pathological features in the model was calculated.Results Univariate cox regression analysis showed that 10 immune-related lncRNA related to the prognosis of breast cancer were screened out by univariate Cox regression analysis.LINC00578,NIFK-AS1 and LINC00667 were identified as independent predictors of BRCA prognosis by Cox regression analysis,and a predictive model was established to predict the prognosis of BRCA.Kaplan-Meier analysis showed that there was significant difference in survival rate between high-risk group and low-risk group(P<0.001).ROC curve analysis showed that the model had good discrimination ability in predicting the prognosis of patients with breast cancer[area under curve was 0.706(95%CI:0.676-0.771,P<0.001)].Combined with the clinical information of patients with breast cancer,it was found that lncRNA in the model were correlated with T staging(P<0.05).Conclusion We have created a new scoring model for evaluating the prognosis of patients with breast cancer.
作者
肖冉
杨盟
丁茹梦
谭远远
李朵璐
XIAO Ran;YANG Meng;DING Rumeng;TAN Yuanyuan;LI Duolu(Department of Pharmacy,the First Affiliated Hospital,Zhengzhou University,Zhengzhou 450052,China;Department of Cardiovascular Medicine,the 7th People’s Hospital of Zhengzhou,Zhengzhou 450006,China)
出处
《肿瘤基础与临床》
2021年第4期299-302,共4页
journal of basic and clinical oncology
基金
河南省科技发展计划项目(182102410007)。
关键词
免疫相关长链非编码RNA
乳腺癌
预后
immune-associated long non-coding RNA
breast cancer
prognosis
