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Title: Microarray-based genomic profiling as a diagnostic tool in acute lymphoblastic leukemia
Author(s): Simons, A. (189501820)
Stevens-Kroef, M.J.P.L. (298204789)
El Idrissi-Zaynoun, N.
Gessel, S. van
Weghuis, D.O.
Berg, E. van den
Waanders, E. (298980274)
Hoogerbrugge, P.M. (073498661)
Kuiper, R.P. (229647278)
Geurts van Kessel, A.H.M. (069477787)
Publication year: 2011
Document type: Article / Letter to editor
Journal: Genes Chromosomes & Cancer
ISSN: 1045-2257
Volume: vol. 50
Issue: iss. 12
Start page: p. 969
End page: p. 981
Annotation: Simons, Annet Stevens-Kroef, Marian El Idrissi-Zaynoun, Najat van Gessel, Sabine Weghuis, Daniel Olde van den Berg, Eva Waanders, Esme Hoogerbrugge, Peter Kuiper, Roland van Kessel, Ad Geurts United States Genes Chromosomes Cancer. 2011 Dec;50(12):969-81. doi: 10.1002/gcc.20919. Epub 2011 Aug 31.
Abstract: In acute lymphoblastic leukemia (ALL) specific genomic abnormalities provide important clinical information. In most routine clinical diagnostic laboratories conventional karyotyping, in conjunction with targeted screens using e.g., fluorescence in situ hybridization (FISH), is currently considered as the gold standard to detect such aberrations. Conventional karyotyping, however, is limited in its resolution and yield, thus hampering the genetic diagnosis of ALL. We explored whether microarray-based genomic profiling would be feasible as an alternative strategy in a routine clinical diagnostic setting. To this end, we compared conventional karyotypes with microarray-deduced copy number aberration (CNA) karyotypes in 60 ALL cases. Microarray-based genomic profiling resulted in a CNA detection rate of 90%, whereas for conventional karyotyping this was 61%. In addition, many small (< 5 Mb) genetic lesions were encountered, frequently harboring clinically relevant ALL-related genes such as CDKN2A/B, ETV6, PAX5, and IKZF1. From our data we conclude that microarray-based genomic profiling serves as a robust tool in the genetic diagnosis of ALL, outreaching conventional karyotyping in CNA detection both in terms of sensitivity and specificity. We also propose a practical workflow for a comprehensive and objective interpretation of CNAs obtained through microarray-based genomic profiling, thereby facilitating its application in a routine clinical diagnostic setting.
Subject: NCMLS 3A: Genetics and epigenetic pathways of disease ONCOL 3: Translational research
Organization: Human Genetics
UMCN Extern
Paediatrics
Appears in Collections:Academic bibliography

Please use this identifier to cite or link to this item: http://hdl.handle.net/2066/98100

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