作者: Izidore S. Lossos , Debra K. Czerwinski , Ash A. Alizadeh , Mark A. Wechser , Rob Tibshirani
DOI: 10.1056/NEJMOA032520
关键词:
摘要: background Several gene-expression signatures can be used to predict the prognosis in diffuse large-B-cell lymphoma, but lack of practical tests for a genome-scale analysis has restricted use this method. methods We studied 36 genes whose expression had been reported survival lymphoma. measured each these independent samples lymphoma from 66 patients by quantitative real-time polymerasechain-reaction analyses and related results overall survival. In univariate analysis, were ranked on basis their ability The that strongest predictors LMO2, BCL6, FN1, CCND2, SCYA3, BCL2. developed multivariate model was based six genes, we validated two microarray data sets. International Prognostic Index added its predictive power. conclusions Measurement is sufficient