长链非编码RNA对弥漫大B细胞淋巴瘤患者的预后价值

Chinese Journal of Disease Control & Prevention(2019)

Cited 1|Views5
No score
Abstract
目的 识别与弥漫大B细胞淋巴瘤(diffuse large B-cell lymphoma,DLBCL)患者预后相关的长链非编码RNA (long non-coding RNA,lncRNA)并评估其预后价值.方法 从高通量基因表达数据库(gene expression omnibus,GEO)下载DLBCL患者的基因和临床信息:GSE31312 (n=424,训练集)和GSE10846(n=295,验证集).在训练集中通过套索算法(least absolute shrinkage and selection operator,LASSO)结合平稳选择法以及多因素Cox回归筛选与患者预后相关的lncRNA.根据所筛lncRNA将患者进行危险分层(高危组和低危组)并进行log-rank检验.然后分别建立国际预后指数(international prognostic index,IPI)、lncRNA及IPI+lncRNA的Cox比例风险模型,依据时点/动态受试者工作特征(receiver operating characteristic,ROC)曲线法对各模型的预测准确度进行评价和比较.结果 共发现8个与DLBCL预后相关的lncRNA.训练和验证集中,两组患者生存曲线的差异均有统计学意义(训练集:x2=73.1,P <0.001;验证集:x2=13.4,P<0.001),IPI+ lncRNA模型的C指数与其他两个模型相比,差异也具有统计学意义(训练集:IPI+lncRNA vs.IPI:Z =76.536,P<0.001;IPI+ lncRNA vs.lncRNA:Z=17.714,P<0.001;验证集:IPI+lncRNA vs.IPI:Z=42.427,P<0.001;IPI+ lncRNA vs.lncRNA:Z=30.587,P<0.001).结论 本研究发现的8个lncRNA可以作为DLBCL的预后标志物,与IPI结合可提高对DLBCL患者预后判断的准确性.
More
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined