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Analyzing Tumor Gene Expression Factors with the CorExplorer Web Portal
Published on: October 11, 2019
Prediction of survival in diffuse large-B-cell lymphoma based on the expression of six genes
Izidore S Lossos1, Debra K Czerwinski, Ash A Alizadeh
1Division of Oncology, Department of Medicine, Stanford University Medical Center, Stanford, Calif, USA.
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.
