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The genomic landscape of juvenile myelomonocytic leukemia

Authors :
Sara Seepo
Kyle Beckman
Clifford M. Takemoto
Todd Cooper
Johann Hitzler
Philip A. Roehrs
Todd R. Golub
Tiffany Y. Chang
Scott R. Olsen
Tali Mazor
Patrick A. Brown
Robert J. Hayashi
Mara Rosenberg
Reuven J. Schore
Rakesh K. Goyal
Philip M. Monteleone
Emilio Esquivel
Jeffrey A. Toretsky
Elliot Stieglitz
Robert B. Gerbing
Mignon L. Loh
Adam B. Olshen
Gad Getz
Yong Dong Wang
Yongjin Li
Benjamin Carcamo
Laura C. Gelston
Kimo C. Stine
Ghada Abusin
Chip Stewart
Peter D. Emanuel
Todd A. Alonzo
Y. Lucy Liu
Yoav Messinger
Gary V. Dahl
Joseph F. Costello
Kimberly Stegmaier
Christopher Hugge
Donald H. Mahoney
Jing Ma
Eneida R. Nemecek
Sophie Archambeault
Amaro Taylor-Weiner
Ariel Yu
Mark Fluchel
Tanja A. Gruber
Michael Briones
Source :
Nature genetics
Publication Year :
2015
Publisher :
Springer Science and Business Media LLC, 2015.

Abstract

Juvenile myelomonocytic leukemia (JMML) is a myeloproliferative neoplasm (MPN) of childhood with a poor prognosis. Mutations in NF1, NRAS, KRAS, PTPN11 and CBL occur in 85% of patients, yet there are currently no risk stratification algorithms capable of predicting which patients will be refractory to conventional treatment and therefore be candidates for experimental therapies. In addition, there have been few other molecular pathways identified aside from the Ras/MAPK pathway to serve as the basis for such novel therapeutic strategies. We therefore sought to genomically characterize serial samples from patients at diagnosis through relapse and transformation to acute myeloid leukemia in order to expand our knowledge of the mutational spectrum in JMML. We identified recurrent mutations in genes involved in signal transduction, gene splicing, the polycomb repressive complex 2 (PRC2) and transcription. Importantly, the number of somatic alterations present at diagnosis appears to be the major determinant of outcome.

Details

ISSN :
15461718 and 10614036
Volume :
47
Database :
OpenAIRE
Journal :
Nature Genetics
Accession number :
edsair.doi.dedup.....8865d5d13f14756a5f9ec0e886b02ab9