4.8 Article

The genomic landscape of pediatric acute lymphoblastic leukemia

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NATURE GENETICS
卷 54, 期 9, 页码 1376-+

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NATURE PORTFOLIO
DOI: 10.1038/s41588-022-01159-z

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资金

  1. American Lebanese Syrian Associated Charities of SJCRH
  2. St. Baldricks Foundation Robert J. Arceci Innovation Award
  3. Alex's Lemonade Stand Foundation Innovation Award
  4. American Society of Hematology Scholar Award
  5. Leukemia & Lymphoma Society's Career Development Program Special Fellow
  6. NCI [P30 CA021765, R35 CA197695, R01 CA216391]
  7. Pathway to Independence Award [R00 CA241297]
  8. National Institute of General Medical Sciences [P50 GM115279]
  9. St. Baldricks Foundation Award

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A comprehensive analysis of genomic and transcriptomic data from 2,754 childhood acute lymphoblastic leukemias revealed 376 putative driver genes, as well as associations between disease subtypes and prognosis.
A genomic and transcriptomic analysis of 2,754 childhood acute lymphoblastic leukemias identifies 376 putative driver genes, and associations between disease subtypes and prognosis. Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. Here, using whole-genome, exome and transcriptome sequencing of 2,754 childhood patients with ALL, we find that, despite a generally low mutation burden, ALL cases harbor a median of four putative somatic driver alterations per sample, with 376 putative driver genes identified varying in prevalence across ALL subtypes. Most samples harbor at least one rare gene alteration, including 70 putative cancer driver genes associated with ubiquitination, SUMOylation, noncoding transcripts and other functions. In hyperdiploid B-ALL, chromosomal gains are acquired early and synchronously before ultraviolet-induced mutation. By contrast, ultraviolet-induced mutations precede chromosomal gains in B-ALL cases with intrachromosomal amplification of chromosome 21. We also demonstrate the prognostic significance of genetic alterations within subtypes. Intriguingly, DUX4- and KMT2A-rearranged subtypes separate into CEBPA/FLT3- or NFATC4-expressing subgroups with potential clinical implications. Together, these results deepen understanding of the ALL genomic landscape and associated outcomes.

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