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Integrated genetic and epigenetic analysis revealed heterogeneity of acute lymphoblastic leukemia in Down syndrome

  • Yasuo Kubota
  • , Kumiko Uryu
  • , Tatsuya Ito
  • , Masafumi Seki
  • , Tomoko Kawai
  • , Tomoya Isobe
  • , Tadayuki Kumagai
  • , Tsutomu Toki
  • , Kenichi Yoshida
  • , Hiromichi Suzuki
  • , Keisuke Kataoka
  • , Yuichi Shiraishi
  • , Kenichi Chiba
  • , Hiroko Tanaka
  • , Kentaro Ohki
  • , Nobutaka Kiyokawa
  • , Jiro Kagawa
  • , Satoru Miyano
  • , Akira Oka
  • , Yasuhide Hayashi
  • Seishi Ogawa, Kiminori Terui, Atsushi Sato, Kenichiro Hata, Etsuro Ito, Junko Takita

Research output: Contribution to journal › Article › peer-review

Abstract

Children with Down syndrome (DS) are at a 20-fold increased risk for acute lymphoblastic leukemia (ALL). Compared to children with ALL and no DS (non-DS-ALL), those with DS and ALL (DS-ALL) harbor uncommon genetic alterations, suggesting DS-ALL could have distinct biological features. Recent studies have implicated several genes on chromosome 21 in DS-ALL, but the precise mechanisms predisposing children with DS to ALL remain unknown. Our integrated genetic/epigenetic analysis revealed that DS-ALL was highly heterogeneous with many subtypes. Although each subtype had genetic/epigenetic profiles similar to those found in non-DS-ALL, the subtype distribution differed significantly between groups. The Philadelphia chromosome-like subtype, a high-risk B-cell lineage variant relatively rare among the entire pediatric ALL population, was the most common form in DS-ALL. Hypermethylation of RUNX1 on chromosome 21 was also found in DS-ALL, but not non-DS-ALL. RUNX1 is essential for differentiation of blood cells, especially B cells; thus, hypermethylation of the RUNX1 promoter in B-cell precursors might be associated with increased incidence of B-cell precursor ALL in DS patients.

Original languageEnglish
Pages (from-to)3358-3367
Number of pages10
JournalCancer Science
Volume110
Issue number10
DOIs
Publication statusPublished - 2019 Oct 1
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Down syndrome
  • acute lymphoblastic leukemia
  • children
  • epigenetic analysis
  • genetic analysis

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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