Gene array prediction of AML transformation in MDS
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ABSTRACT: Microarray-based classifiers and prognosis models identify subgroups with distinct clinical outcomes and high risk of AML transformation of myelodysplastic syndrome (MDS) An array-based Diagnostic Classifier (DC) model, developed for and evaluated during the MILE study, correctly identified ~50% of the unfractionated MDS specimens submitted to the study; predictions for the other samples were split between “none-of-the-targets” classes and AML signatures, but this distinction also reflected clinical outcome in terms of time to AML transformation. Furthermore, an improved Prognostic Classifier (PC) model was developed that correlated with both time to AML transformation and overall survival. Keywords: Microarray-based gene expression profiling aimed at prediction of AML transformation in MDS
ORGANISM(S): Homo sapiens
PROVIDER: GSE15061 | GEO | 2009/06/09
SECONDARY ACCESSION(S): PRJNA114831
REPOSITORIES: GEO
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