Spotlight Review

Leukemia (2009) 23, 1209–1218; doi:10.1038/leu.2009.18; published online 26 February 2009

Genome-wide profiling of genetic alterations in acute lymphoblastic leukemia: recent insights and future directions

C G Mullighan1 and J R Downing1

1Department of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA

Correspondence: Dr CG Mullighan, Assistant Member, St Jude Children's Research Hospital, 262 Danny Thomas Place, Pathology, Mail Stop 342, Memphis, TN 38105, USA. E-mail: charles.mullighan@stjude.org

Received 24 December 2008; Accepted 9 January 2009; Published online 26 February 2009.

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Abstract

Until recently, our understanding of the genetic factors contributing to the pathogenesis of acute lymphoblastic leukemia (ALL) has relied on the detection of gross chromosomal alterations and mutational analysis of individual genes. Although these approaches have identified many important abnormalities, they have been unable to identify the full repertoire of genetic alterations in ALL. The advent of high-resolution, microarray-based techniques to identify DNA copy number alterations and loss-of-heterozygosity in a genome-wide fashion has enabled the identification of multiple novel genetic alterations targeting key cellular pathways, including lymphoid differentiation, cell cycle, tumor suppression, apoptosis and drug responsiveness. Recent studies have extended these approaches to examine the biologic basis of high-risk ALL and treatment relapse. As these techniques continue to evolve and are integrated with genome-wide epigenetic and transcriptomic data, we will obtain a comprehensive understanding of the genetic and epigenetic alterations in ALL, and ultimately will be able to translate these findings into the development of novel therapeutic approaches directed against rational therapeutic targets. Here, we review recent data obtained from genome-wide profiling studies in ALL, and discuss potential avenues for future investigation.

Keywords:

acute lymphoblastic leukemia, SNP, microarray, relapse, PAX5, IKAROS

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