Predicting outcome in follicular lymphoma by using interactive gene pairs.
Clin Cancer Res
; 14(2): 478-87, 2008 Jan 15.
Article
en En
| MEDLINE
| ID: mdl-18223222
PURPOSE: Follicular lymphoma is a common lymphoma of adults. Although its course is often indolent, a substantial proportion of patients have a poor prognosis, often due to rapid progression or transformation to a more aggressive lymphoma. Currently available clinical prognostic scores, such as the follicular lymphoma international prognostic index, are not able to optimally predict transformation or poor outcome. EXPERIMENTAL DESIGN: Gene expression profiling was done on primary lymphoma biopsy samples. RESULTS: Using a statistically conservative approach, predictive interaction analysis, we have identified pairs of interacting genes that predict poor outcome, measured as death within 5 years of diagnosis. The best gene pair performs >1,000-fold better than any single gene or the follicular lymphoma international prognostic index in our data set. Many gene pairs achieve outcome prediction accuracies exceeding 85% in extensive cross-validation and noise sensitivity computational analyses. Many genes repeatedly appear in top-ranking pairs, suggesting that they reproducibly provide predictive capability. CONCLUSIONS: The evidence reported here may provide the basis for an expression-based, multi-gene test for predicting poor follicular lymphoma outcomes.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Linfoma Folicular
Tipo de estudio:
Prognostic_studies
/
Risk_factors_studies
Límite:
Adult
/
Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
Idioma:
En
Revista:
Clin Cancer Res
Asunto de la revista:
NEOPLASIAS
Año:
2008
Tipo del documento:
Article
País de afiliación:
Canadá
Pais de publicación:
Estados Unidos