Integrative genetic analysis of mouse and human AML identifies cooperating disease alleles Journal Article


Authors: Hatlen, M. A.; Arora, K.; Vacic, V.; Grabowska, E. A.; Liao, W.; Riley-Gillis, B.; Oschwald, D. M.; Wang, L.; Joergens, J. E.; Shih, A. H.; Rapaport, F.; Gu, S.; Voza, F.; Asai, T.; Neel, B. G.; Kharas, M. G.; Gonen, M.; Levine, R. L.; Nimer, S. D.
Article Title: Integrative genetic analysis of mouse and human AML identifies cooperating disease alleles
Abstract: t(8;21) is one of the most frequent chromosomal abnormalities observed in acute myeloid leukemia (AML). However, expression of AML1-ETO is not sufficient to induce transformation in vivo. Consistent with this observation, patients with this translocation harbor additional genetic abnormalities, suggesting a requirement for cooperating mutations. To better define the genetic landscape in AML and distinguish driver from passenger mutations, we compared the mutational profiles of AML1-ETO-driven mouse models of leukemia with the mutational profiles of human AML patients. We identified TET2 and PTPN11 mutations in both mouse and human AML and then demonstrated the ability of Tet2 loss and PTPN11 D61Y to initiate leukemogenesis in concert with expression of AML1-ETO in vivo. This integrative genetic profiling approach allowed us to accurately predict cooperating events in t(8;21)+ AML in a robust and unbiased manner, while also revealing functional convergence in mouse and human AML. © 2016 Hatlen et al.
Journal Title: Journal of Experimental Medicine
Volume: 213
Issue: 1
ISSN: 0022-1007
Publisher: Rockefeller University Press  
Date Published: 2016-01-11
Start Page: 25
End Page: 34
Language: English
DOI: 10.1084/jem.20150524
PROVIDER: scopus
PMCID: PMC4710200
PUBMED: 26666262
DOI/URL:
Notes: Article -- Export Date: 1 July 2016 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Mithat Gonen
    1030 Gonen
  2. Alan H Shih
    59 Shih
  3. Ross Levine
    778 Levine
  4. Megan A Hatlen
    14 Hatlen
  5. Francesca Alexandra Voza
    18 Voza
  6. Michael Kharas
    96 Kharas