Dataset Information


Gene expression profiling in AML with normal karyotype: A multicenter study investigating molecular markers in 251 cases

ABSTRACT: Acute myeloid leukemia (AML) is a heterogeneous disease and AML with normal karyotype (AML-NK) is categorized as an intermediate-risk group. Over the past years molecular analyses successfully identified biomarkers that will further allow to dissecting clinically meaningful subgroups in this disease. Thus far, somatic mutations were identified which elucidate the disturbance of cellular growth, proliferation, and differentiation processes in hematopoietic progenitor cells. In AML-NK, acquired gene mutations with prognostic relevance were identified for FLT3, CEBPA, and NPM1. FLT3-ITD mutations were associated with short relapse-free and overall survival, while mutations in CEBPA or NPM1 (without concomitant FLT3-ITD) had a more favorable outcome. Here, we present a multicenter study investigating gene expression profiles of 251 cases of de novo AML-NK. In three centers whole-genome microarray analyses were performed to delineate robust and common expression signatures for molecular markers in AML-NK. All samples were obtained from untreated patients at the time of diagnosis. Cells used for microarray analysis were collected from the purified fraction of mononuclear cells after Ficoll density centrifugation (Dresden, n=78; Munich, n=97; Ulm, n=77). Each laboratory performed its routine diagnostic algorithms, including the characterization of molecular markers.

ORGANISM(S): Homo sapiens  

SUBMITTER: Christian Thiede   Martin Dugas  Hartmut Döhner  Gerhard Ehninger  Lars Bullinger  Alexander Kohlmann  Markus Schaich  Hans-Ulrich Klein  Konstanze Döhner  Susanne Schnittger  Torsten Haferlach 

PROVIDER: E-GEOD-15434 | ArrayExpress | 2009-12-31



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Quantitative comparison of microarray experiments with published leukemia related gene expression signatures.

Klein Hans-Ulrich HU   Ruckert Christian C   Kohlmann Alexander A   Bullinger Lars L   Thiede Christian C   Haferlach Torsten T   Dugas Martin M  

BMC bioinformatics 20091215

BACKGROUND: Multiple gene expression signatures derived from microarray experiments have been published in the field of leukemia research. A comparison of these signatures with results from new experiments is useful for verification as well as for interpretation of the results obtained. Currently, the percentage of overlapping genes is frequently used to compare published gene signatures against a signature derived from a new experiment. However, it has been shown that the percentage of overlapp  ...[more]

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