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Affymetrix SNP array data for acute myeloid leukemia (AML) samples with complex karyotype

ABSTRACT: AML with complex karyotype (CK-AML) is characterized by a high frequency of TP53 alteration (loss and/or mutation). TP53-altered CK-AML were characterized by a higher degree of genomic complexity (aberrations per case, 14.30 vs. 6.16; P<.0001), and by a higher frequency of specific copy number alterations, such as -5/5q-, -7/7q-, -16/16q-, -18/18q-, +1/+1p, and +11/+11q/amp11q13~25; among CK-AML, TP53-altered more frequently exhibited a monosomal karyotype (MK). Patients with TP53 alterations were older and had significantly lower complete remission rates, inferior event-free, relapse-free, and overall survival. In multivariable analysis for overall survival, TP53 alterations, white blood cell counts, and age were the only significant factors. In conclusion, TP53 is the most frequently known altered gene in CK-AML. TP53 alterations are associated with older age, genomic complexity, specific DNA copy number alterations, MK, and dismal outcome. In multivariable analysis, TP53 alteration is the most important prognostic factor in CK-AML, outweighing all other variables, including the MK category.

ORGANISM(S): Homo sapiens

PROVIDER: GSE34542 | GEO | 2012/08/27

SECONDARY ACCESSION(S): PRJNA164717

REPOSITORIES: GEO

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Project description:Recurrent gene mutations, chromosomal translocations, acquired genomic copy number aberrations (aCNA) and copy-neutral loss-of-heterozygosity (cnLOH) underlie the genomic pathogenesis of acute myelogenous leukemia (AML). Genomic lesion types from all of these categories have been variously associated with AML patient outcome. However, the patterns of co-occurrence of such lesions are only now beginning to be defined, and we seek to further delineate the relative influence of different types of genomic alterations on clinical outcomes in AML. In this study, we performed SNP 6.0 array-based genomic profiling of aCNA/cnLOH along with sequence analysis of 13 recurrently mutated genes on purified leukemic blast DNA from 156 prospectively enrolled non-FAB-M3 AML patients across the clinical spectrum of de novo, secondary, and therapy-related AML. We identify positive and negative associations of gene mutations, specific aCNA/cnLOH or total aCNA/cnLOH counts with different AML types as well as the associations of specific mutations with overall genomic complexity or genomic stability. Further, we show that NPM1, RUNX1, ASXL1 and TP53 mutations, elevated SNP-A-based genomic complexity, and specific recurrent aCNAs predict response to induction chemotherapy. Finally, results of comprehensive multivariate analyses support a dominant role for TP53 mutations or elevated genomic complexity as predictors of short survival in AML. Integrated genomic profiling of a clinically relevant adult AML population reveals the interplay between gene mutations, recurrent aCNAs, and SNP-A-based genomic complexity and identifies among them the genomic characteristics most associated with types of response to intensive induction therapies and with shortened overall survival. This study is based on 156 patients with previously untreated AML for which paired tumor and normal samples were available. The patients were enrolled into this study at the University of Michigan Comprehensive Cancer Center. The study was approved by the University of Michigan Institutional Review Board (IRBMED #2004-1022) and written informed consent was obtained from all patients prior to enrollment. Genomic DNA was extracted from purified AML blasts and paired buccal cells. DNA thus obtained was hybridized to Affymetrix SNP 6.0 arrays.

Project description:We performed genome-wide copy number analysis with paired normal and tumor DNA obtained from 86 adult patients with de novo AML using the Affymetrix Genome-Wide Human SNP array 6.0 containing 1.85 million features. Acquired copy number alterations (CNA) were confirmed using an independent, higher resolution, custom array comparative genomic hybridization platform. A total of 201 somatic CNA were found in the 86 AML genomes (mean 2.34 CNA/genome), with FAB M6 and M7 AML genomes containing the most changes (10-29 CNA/genome). Twenty-four percent of AML patients with normal cytogenetics had CNA, while 40% of patients with an abnormal karyotype had additional CNA detected by SNP array, and several regions contained CNA in multiple AML genomes. The mRNA expression levels of 57 genes were significantly altered in 27 of 50 recurrent CNA regions <5 megabases in size. Array data are available online at <a href="http://www.ncbi.nlm.nih.gov/geo/" target="_blank">http://www.ncbi.nlm.nih.gov/geo/</a> as GEO accession #GSE10358. A total of 8 uniparental disomy (UPD) segments were identified in the 86 genomes and 6/8 UPD regions occurred in samples with a normal karyotype. Collectively, 40% of AML genomes contained alterations not found with cytogenetics, and 96% of these regions contained known or novel AML associated genes. 43/86 AML genomes had no CNA or UPD at this level of resolution. The number of CNA per genome was not associated with overall survival, independent of cytogenetic classification. In this study of 86 adult AML genomes, subcytogenetic CNAs or UPD did not add prognostic information to standard cytogenetics. However, arrays identified many somatically mutated oncogenes and tumor suppressor genes, and also genes not previously implicated in AML that may be relevant for pathogenesis. AML CNA segments from 86 adult AML patients are available through dbVar at <a href="ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/nstd11_Walter_et_al_2009">ftp://ftp.ncbi.nlm.nih.gov/pub/dbVar/data/Homo_sapiens/nstd11_Walter_et_al_2009</a>.

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Affymetrix SNP array data for acute myeloid leukemia (AML) samples with complex karyotype

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