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Previous Volume 350:1828-1837 April 29, 2004 Number 18 Next

	Full Text PDF PDA Full Text PowerPoint Slide Set Supplementary Material Perspective by Ramaswamy, S. Add to Personal Archive Add to Citation Manager Notify a Friend E-mail When Cited E-mail When Letters Appear PubMed Citation

ABSTRACT

Background Several 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.

Methods We 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.

Results In 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.

Conclusions Measurement of the expression of six genes is sufficient to predict overall survival in diffuse large-B-cell lymphoma.

Source Information

From the Division of Oncology, Department of Medicine (I.S.L., D.K.C., R.L.), the Department of Genetics (A.A.A., D.B.), and the Departments of Health Research and Policy and Statistics (R.T.), Stanford University Medical Center, Stanford, Calif.; the Division of Hematology–Oncology, Department of Medicine, University of Miami, Miami (I.S.L.); and Applied Biosystems, Foster City, Calif. (M.A.W.).

Address reprint requests to Dr. Levy at Stanford University School of Medicine, Division of Oncology, Rm. 1105, Stanford, CA 94305-5151, or at levy{at}stanford.edu.

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