4.4 Article

Improved cytogenetic characterization and risk stratification of pediatric acute lymphoblastic leukemia using single nucleotide polymorphism array analysis: A single center experience of 296 cases

期刊

GENES CHROMOSOMES & CANCER
卷 57, 期 11, 页码 604-607

出版社

WILEY
DOI: 10.1002/gcc.22664

关键词

array analysis; clinical genetic diagnostics; pediatric acute lymphoblastic leukemia; single nucleotide polymorphism

资金

  1. The Swedish cancer society [CAN 2017/291] Funding Source: Medline
  2. the Swedish Research Council [2016-01084] Funding Source: Medline
  3. the Crafoord foundation Funding Source: Medline
  4. Governmental Funding of Clinical Research within the National Health Service [2014/354] Funding Source: Medline
  5. The Swedish Childhood Cancer Foundation [PR2015-0006] Funding Source: Medline

向作者/读者索取更多资源

Single nucleotide polymorphism array (SNP-A) analyses are increasingly being introduced in routine genetic diagnostics of acute lymphoblastic leukemia (ALL). Despite this, only few studies that have compared the diagnostic value of SNP-A with conventional chromosome banding have been published. We here report such a comparison of 296 ALL cases, the largest series to date. Only genomic imbalances >5Mb and microdeletions targeting the BTG1, CDKN2A/B, EBF1, ERG, ETV6, IKZF1, PAX5, and RB1 genes and the pseudoautosomal region 1 (PAR1) were ascertained, in agreement with recent guidelines. Of 36 T-cell ALL cases, the karyotypes of 24 cases (67%) were revised by SNP-A analyses that either revealed additional imbalances >5Mb or better characterized the changes found by G-banding. Of 260 B-cell precursor (BCP) ALL cases, SNP-A analyses identified additional copy number alterations, including the above-mentioned microdeletions, or better characterized the imbalances found by G-banding in 236 (91%) cases. Furthermore, the cytogenetic subtype classification of 41/260 (16%) BCP ALL cases was revised based on the SNP-A findings. Of the subtype revisions, 12/41 (29%) had clinical implications as regards risk stratifying cytogenetic groups or genotype-specific minimal residual disease stratification. We conclude that SNP-A analyses dramatically improve the cytogenetic characterization of both T-cell and BCP ALL and also provide important information pertinent to risk stratification of BCP ALL.

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