Disclosure of Candidate Genes in Acute Myeloid Leukemia With Complex Karyotypes Using Microarray-Based Molecular Characterization

Author:

Rücker Frank G.1,Bullinger Lars1,Schwaenen Carsten1,Lipka Daniel B.1,Wessendorf Swen1,Fröhling Stefan1,Bentz Martin1,Miller Simone1,Scholl Claudia1,Schlenk Richard F.1,Radlwimmer Bernhard1,Kestler Hans A.1,Pollack Jonathan R.1,Lichter Peter1,Döhner Konstanze1,Döhner Hartmut1

Affiliation:

1. From the Department of Neural Information Processing; Department of Internal Medicine III, University Hospital of Ulm, Ulm; Department of Molecular Genetics, German Cancer Research Center, Heidelberg, Germany; and the Department of Pathology, Stanford University, Stanford, CA

Abstract

PurposeTo identify novel genomic regions of interest in acute myeloid leukemia (AML) with complex karyotypes, we applied comparative genomic hybridization to microarrays (array-CGH), allowing high-resolution genome-wide screening of genomic imbalances.Patients and MethodsSixty AML cases with complex karyotypes were analyzed using array-CGH; parallel analysis of gene expression was performed in a subset of cases.ResultsGenomic losses were found more frequently than gains. The most frequent losses affected 5q (77%), 17p (55%), and 7q (45%), and the most frequent genomic gains 11q (40%) and 8q (38%). Critical segments could be delineated to genomic fragments of only 0.8 to a few megabase-pairs of DNA. In lost/gained regions, gene expression profiling detected a gene dosage effect with significant lower/higher average gene expression levels across the genes located in the respective regions. Furthermore, high-level DNA amplifications were identified in several regions: 11q23.3-q24.1 (n = 7), 21q22 (n = 6), 11q23.3 (n = 5), 13q12 (n = 3), 8q24 (n = 3), 9p24 (n = 2), 12p13 (n = 2), and 20q11 (n = 2). Parallel analysis of gene expression in critical amplicons displayed overexpressed candidate genes (eg, C8FW and MYC in 8q24).ConclusionIn conclusion, a large spectrum of genomic imbalances, including novel recurring changes in AML with complex karyotypes, was identified using array-CGH. In addition, the combined analysis of array-CGH data with gene expression profiles allowed the detection of candidate genes involved in the pathogenesis of AML.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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