Different characteristics identified by single nucleotide polymorphism array analysis in leukemia suggest the need for different application strategies depending on disease category

Jungwon Huh, Chul Won Jung, Hyeoung Joon Kim, Yeo Kyeoung Kim, Joon Ho Moon, Sang Kyun Sohn, Hee Je Kim, Woo Sung Min, Dong Hwan Dennis Kim

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The purpose of this study was to evaluate the detection rate of chromosomal rearrangements in leukemia using single nucleotide polymorphism array (SNP-A) in combination with metaphase cytogenetics (MC), with the aim of proposing a practical approach for clinical karyotyping applications of SNP-A. The Genome-Wide Human SNP Array 6.0 (Affymetrix, Santa Clara, CA) was applied in 469 patients with a variety of hematologic malignancies. Combined use of SNP-A with MC improved the detection rate in comparison with MC alone: acute myeloid leukemia (AML) with normal karyotype (NK), 32% versus 0%; core binding factor (CBF)-AML 40% versus 29%; myelodysplastic syndrome (MDS), 54% versus 39%; chronic myeloid leukemia (CML), 24% versus 3%; and acute lymphoblastic leukemia (ALL), 88% versus 63%. Different patterns of abnormalities (especially the type, size, and location) were noted in the leukemia subtypes. Copy neutral loss of heterozygosity lesions was detected in 23% of AML-NK, 3% of CBF-AML, 25% of MDS, 2% of CML, and 20% of ALL. SNP-A also provided information on cryptic deletions and a variety of aneuploidies in ALL, while the benefit was minimal in CML. In conclusion, different patterns of abnormal lesions were presented according to the disease category, thus requiring a different approach of adopting SNP-A-based karyotyping among different leukemia subtypes.

Original languageEnglish
Pages (from-to)44-55
Number of pages12
JournalGenes Chromosomes and Cancer
Volume52
Issue number1
DOIs
StatePublished - Jan 2013

Fingerprint

Dive into the research topics of 'Different characteristics identified by single nucleotide polymorphism array analysis in leukemia suggest the need for different application strategies depending on disease category'. Together they form a unique fingerprint.

Cite this