2008
DOI: 10.1182/blood-2008-06-165027
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Genome-wide copy number profiling reveals molecular evolution from diagnosis to relapse in childhood acute lymphoblastic leukemia

Abstract: The underlying pathways that lead to relapse in childhood acute lymphoblastic leukemia (ALL) are unknown. To comprehensively characterize the molecular evolution of relapsed childhood B-precursor ALL, we used human 500K singlenucleotide polymorphism arrays to identify somatic copy number alterations (CNAs) in 20 diagnosis/relapse pairs relative to germ line. We identified 758 CNAs, 66.4% of which were less than 1 Mb, and deletions outnumbered amplifications by approximately 2.5:1. Although CNAs persisting from… Show more

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Cited by 179 publications
(189 citation statements)
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References 29 publications
(32 reference statements)
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“…First, we investigated a population-based series, not focusing solely on high risk ALL, 4 T-ALL, 15 specific cytogenetic subgroups in BCP ALL, 16,17 or excluding some subgroups. 13 Also, none of our patients was lost to follow-up in contrast to several prior studies and for some of our cases the observation time was close to 20 years with a median follow-up of 10 years, whereas the maximum follow-up time has been 10 years or less in earlier studies, 14,17,18,20,21 (Figures 1 and 2). Furthermore, the SNP arrays used provide higher resolution (>1 M SNPs) compared with prior SNP array-based ALL studies (250K-500K), 4,[13][14][15][16][17][18] making it possible to delineate imbalances in greater detail and to identify previously unknown gene targets, as exemplified below.…”
Section: Discussioncontrasting
confidence: 45%
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“…First, we investigated a population-based series, not focusing solely on high risk ALL, 4 T-ALL, 15 specific cytogenetic subgroups in BCP ALL, 16,17 or excluding some subgroups. 13 Also, none of our patients was lost to follow-up in contrast to several prior studies and for some of our cases the observation time was close to 20 years with a median follow-up of 10 years, whereas the maximum follow-up time has been 10 years or less in earlier studies, 14,17,18,20,21 (Figures 1 and 2). Furthermore, the SNP arrays used provide higher resolution (>1 M SNPs) compared with prior SNP array-based ALL studies (250K-500K), 4,[13][14][15][16][17][18] making it possible to delineate imbalances in greater detail and to identify previously unknown gene targets, as exemplified below.…”
Section: Discussioncontrasting
confidence: 45%
“…The reason for this may partly be due to the smaller number of samples analyzed in most previous studies, because when reviewing the supplementary data from published SNP array analyses of ALL, 4,13,14,16 we identified only one relapse sample, reported by Mullighan et al 4 , with a deletion including SPRED1 among other genes; this is the only prior study comprising a similar number of patients as our study. Furthermore, it is possible that the higher resolution of our SNP arrays could be an additional reason, since two of our SPRED1 deletions were small focal deletions that could have escaped detection in previous studies.…”
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confidence: 82%
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