First name
Yang
Last name
Ding

Title

Genomic architecture and treatment outcome in pediatric acute myeloid leukemia: a Children's Oncology Group report.

Year of Publication

2017

Number of Pages

3051-8

Date Published

2017 Jun

ISSN Number

1528-0020

Abstract

<p>Childhood acute myeloid leukemia (AML) is frequently characterized by chromosomal instability. Approximately 50% of patients have disease relapse, and novel prognostic markers are needed to improve risk stratification. We performed genome-wide genotyping in 446 pediatric patients with de novo AML enrolled on Children's Oncology Group (COG) studies, AAML0531 (NCT01407757), AAML03P1 (NCT00070174), and CCG2961 (NCT00003790). Affymetrix and Illumina Omni 2.5 platforms were used to evaluate copy number alterations (CNAs) and determine their associations with treatment outcome. Data from Affymetrix and Illumina studies were jointly analyzed with ASCAT and GISTIC software. An average of 1.14 somatically acquired CNAs per patient were observed. Novel reoccurring altered genomic regions were identified, and the presence of CNAs was found to be associated with decreased 3-year overall survival (OS), event-free survival (EFS), and relapse risk from the end of induction I (HR 1.7, 95%CI 1.2-2.4, HR 1.4, 95%CI 1.0-1.8, and HR 1.4, 95%CI 1.0-2.0, respectively). Analyses by risk group demonstrated decreased OS and EFS in the standard risk group only (HR 1.9, 95%CI 1.1-3.3, and HR 1.7, 95%CI 1.1-2.6, respectively). Further studies are required to test the prognostic significant of CNA presence in disease relapse in AML patients.</p>

DOI

10.1182/blood-2017-03-772384

Alternate Title

Blood

PMID

28411282

Title

Concordance of copy number alterations using a common analytic pipeline for genome-wide analysis of Illumina and Affymetrix genotyping data: a report from the Children's Oncology Group.

Year of Publication

2015

Number of Pages

408-13

Date Published

07/2015

ISSN Number

2210-7762

Abstract

<p>Copy number alterations (CNAs) are a hallmark of pediatric cancer genomes. An increasing number of research groups use multiple platforms and software packages to detect and analyze CNAs. However, different platforms have experimental and analysis-specific biases that may yield different results. We sought to estimate the concordance of CNAs in children with de novo acute myeloid leukemia between two experimental platforms: Affymetrix SNP 6.0 array and Illumina OmniQuad 2.5 BeadChip. Forty-five paired tumor-remission samples were genotyped on both platforms, and CNAs were estimated from total signal intensity and allelic contrast values using the allele-specific copy number analysis of tumors (ASCAT) algorithm. The two platforms were comparable in detection of CNAs, each missing only two segments from a total of 42 CNAs (4.6%).&nbsp;Overall, there was an interplatform agreement of 96% for allele-specific tumor profiles. However, poor quality samples with low signal/noise ratios showed a high rate of false-positive segments independent of the genotyping platform. These results demonstrate that a common analytic pipeline can be utilized for SNP array data from these two platforms. The customized programming template for the preprocessing, data integration, and analysis is publicly available at https://github.com/AplenCHOP/affyLumCNA.</p&gt;

DOI

10.1016/j.cancergen.2015.04.010

Alternate Title

Cancer Genet

PMID

26163103

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