Gene signature combinations improve prognostic stratification of multiple myeloma patients.
Leukemia
; 30(5): 1071-8, 2016 05.
Article
en En
| MEDLINE
| ID: mdl-26669975
ABSTRACT
Multiple myeloma (MM) is a plasma cell neoplasm with significant molecular heterogeneity. Gene expression profiling (GEP) has contributed significantly to our understanding of the underlying biology and has led to several prognostic gene signatures. However, the best way to apply these GEP signatures in clinical practice is unclear. In this study, we investigated the integration of proven prognostic signatures for improved patient risk stratification. Three publicly available MM GEP data sets that encompass newly diagnosed as well as relapsed patients were analyzed using standardized estimation of nine prognostic MM signature indices and simulations of signature index combinations. Cox regression analysis was used to assess the performance of simulated combination indices. Taking the average of multiple GEP signature indices was a simple but highly effective way of integrating multiple GEP signatures. Furthermore, although adding more signatures in general improved performance substantially, we identified a core signature combination, EMC92+HZDCD, as the top-performing prognostic signature combination across all data sets. In this study, we provided a rationale for gene signature integration and a practical strategy to choose an optimal risk score estimation in the presence of multiple prognostic signatures.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Regulación Neoplásica de la Expresión Génica
/
Transcriptoma
/
Mieloma Múltiple
Tipo de estudio:
Clinical_trials
/
Diagnostic_studies
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Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Female
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Humans
/
Male
Idioma:
En
Revista:
Leukemia
Asunto de la revista:
HEMATOLOGIA
/
NEOPLASIAS
Año:
2016
Tipo del documento:
Article
País de afiliación:
Singapur