Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes
Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes
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DOI：
10.1056/nejmoa032520
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发表时间：
2004-04-29
影响因子：
158.5
通讯作者：
Levy, R
中科院分区：
文献类型：
--
作者：
Lossos, IS;Czerwinski, DK;Levy, R
背景：一些基因表达特征可用于预测弥漫性大b细胞淋巴瘤的预后，但缺乏基因组规模分析的实际测试限制了这种方法的使用。方法我们研究了36个基因，这些基因的表达预测弥漫性大b细胞淋巴瘤的生存。我们通过定量实时聚合酶链反应分析，在66例淋巴瘤患者的独立样本中测量了这些基因的表达，并将结果与总生存期联系起来。结果在单变量分析中，基因根据其预测生存的能力进行排序。最强预测因子为LMO2、BCL6、FN1、CCND2、SCYA3和BCL2。我们开发了一个基于这六个基因表达的多元模型，并在两个独立的微阵列数据集中验证了该模型。该模型独立于国际预测指数，并增加了其预测能力。结论检测6个基因的表达足以预测弥漫性大b细胞淋巴瘤患者的总生存率。
BACKGROUNDSeveral gene-expression signatures can be used to predict the prognosis in diffuse large-B-cell lymphoma, but the lack of practical tests for a genome-scale analysis has restricted the use of this method.METHODSWe studied 36 genes whose expression had been reported to predict survival in diffuse large-B-cell lymphoma. We measured the expression of each of these genes in independent samples of lymphoma from 66 patients by quantitative real-time polymerase-chain-reaction analyses and related the results to overall survival.RESULTSIn a univariate analysis, genes were ranked on the basis of their ability to predict survival. The genes that were the strongest predictors were LMO2, BCL6, FN1, CCND2, SCYA3, and BCL2. We developed a multivariate model that was based on the expression of these six genes, and we validated the model in two independent microarray data sets. The model was independent of the International Prognostic Index and added to its predictive power.CONCLUSIONSMeasurement of the expression of six genes is sufficient to predict overall survival in diffuse large-B-cell lymphoma.