title: Genome complexity in acute lymphoblastic leukemia is revealed by array-based comparative genomic hybridization.
abstract: Chromosomal abnormalities are important for the classification and risk stratification of patients with acute lymphoblastic leukemia (ALL). However, approximately 30% of childhood and 50% of adult patients lack abnormalities with clinical relevance. Here, we describe the use of array-based comparative genomic hybridization (aCGH) to identify copy number alterations (CNA) in 58 ALL patients. CNA were identified in 83% of cases, and most frequently involved chromosomes 21 (n=42), 9 (n=21), 6 (n=16), 12 (n=11), 15 (n=11), 8 (n=10) and 17 (n=10). Deletions of 6q (del(6q)) were heterogeneous in size, in agreement with previous data, demonstrating the sensitivity of aCGH to measure CNA. Although 9p deletions showed considerable variability in both the extent and location, all encompassed the CDKN2A locus. Six patients showed del(12p), with a common region encompassing the ETV6 gene. Complex CNA were observed involving chromosomes 6 (n=2), 15 (n=2) and 21 (n=11) with multiple regions of loss and gain along each chromosome. Chromosome 21 CNA shared a common region of gain, with associated subtelomeric deletions. Other recurrent findings included dim(13q), dim(16q) and enh(17q). This is the first report of genome-wide detection of CNA in ALL patients using aCGH, and it has demonstrated a higher level of karyotype complexity than anticipated from conventional cytogenetic analysis.
authors.affiliation: Leukaemia Research Cytogenetics Group, Cancer Sciences Division, University of Southampton, UK. JCS@soton.ac.uk
authors.forename: J C
authors.initials: JC
authors.lastname: Strefford
authors.forename: H
authors.initials: H
authors.lastname: Worley
authors.forename: K
authors.initials: K
authors.lastname: Barber
authors.forename: S
authors.initials: S
authors.lastname: Wright
authors.forename: A R M
authors.initials: AR
authors.lastname: Stewart
authors.forename: H M
authors.initials: HM
authors.lastname: Robinson
authors.forename: G
authors.initials: G
authors.lastname: Bettney
authors.forename: F W
authors.initials: FW
authors.lastname: van Delft
authors.forename: M G
authors.initials: MG
authors.lastname: Atherton
authors.forename: T
authors.initials: T
authors.lastname: Davies
authors.forename: M
authors.initials: M
authors.lastname: Griffiths
authors.forename: S
authors.initials: S
authors.lastname: Hing
authors.forename: F M
authors.initials: FM
authors.lastname: Ross
authors.forename: P
authors.initials: P
authors.lastname: Talley
authors.forename: V
authors.initials: V
authors.lastname: Saha
authors.forename: A V
authors.initials: AV
authors.lastname: Moorman
authors.forename: C J
authors.initials: CJ
authors.lastname: Harrison
mesh_terms: D000293:Adolescent; D000328:Adult; D002051:Burkitt Lymphoma / Q000235:genetics* / Q000378:metabolism; D002648:Child; D002675:Child, Preschool; D005260:Female; D018628:Gene Dosage; D020869:Gene Expression Profiling; D015894:Genome, Human; D006801:Humans; D007223:Infant; D015459:Leukemia-Lymphoma, Adult T-Cell / Q000235:genetics* / Q000378:metabolism; D008297:Male; D008875:Middle Aged; D009693:Nucleic Acid Hybridization; D020411:Oligonucleotide Array Sequence Analysis; D014407:Tumor Cells, Cultured