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Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia

Authors :
Ley, Timothy
Miller, Christopher
Ding, Li
Raphael, Benjamin J.
Mungall, Andrew J.
Robertson, A. Gordon
Hoadley, Katherine
Triche, Timothy J.
Laird, Peter W.
Baty, Jack D.
Fulton, Lucinda L.
Fulton, Robert
Heath, Sharon E.
Kalicki Veizer, Joelle
Kandoth, Cyriac
Klco, Jeffery M.
Koboldt, Daniel C.
Kanchi, Krishna Latha
Shashikant, Kulkarni
M. S., P. h. D.
F. A. C. M. G.
Lamprecht, Tamara L.
B. S.
Washington, University
Louis, S. t.
Larson, David E.
P. h. D.
Ling, Lin
M. S.
Charles, Lu
Mclellan, Michael D.
Mcmichael, Joshua F.
the Genome Institute at Washington University
Jacqueline, Payton
M. D., P. h. D.
Heather, Schmidt
Spencer, David H.
Tomasson, Michael H.
M. D.
Siteman Cancer Center, S. t. Louis
Wallis, John W.
Wartman, Lukas D.
Watson, Mark A.
John, Welch
Wendl, Michael C.
Adrian, Ally
B. S. c.
Miruna, Balasundaram
B. A. S. c.
Inanc, Birol
Yaron, Butterfield
Readman, Chiu
M. S. c.
Andy, Chu
Eric, Chuah
Hye Jung Chun
Richard, Corbett
Noreen, Dhalla
Ranabir, Guin
An, He
Carrie, Hirst
Martin, Hirst
Holt, Robert A.
Steven, Jones
Aly, Karsan
Darlene, Lee
Haiyan I., Li
Marra, Marco A.
Michael, Mayo
Moore, Richard A.
Karen, Mungall
Jeremy, Parker
Erin, Pleasance
Patrick, Plettner
Jacquie, Schein
Dominik, Stoll
Lucas, Swanson
Angela, Tam
Nina, Thiessen
Richard, Varhol
Natasja, Wye
Yongjun, Zhao
M. S. c., D. V. M.
British Columbia Cancer Agency's Genome Sciences Centre
Vancouver, Canada
Stacey, Gabriel
Gad, Getz
Carrie, Sougnez
Lihua, Zou
Broad Institute of Harvard
Massachusetts Institute of Technology
Cambridge, Ma
Mark D. M. Leiserson, B. A.
Vandin, Fabio
Hsin Ta Wu
Brown, University
Center for Computational Molecular Biology
Providence, Ri
Frederick, Applebaum
Fred Hutchinson Cancer Research Center
Division of Medical Oncology
Seattle Cancer Care Alliance
Seattle
Baylin, Stephen B.
Johns Hopkins University
Baltimore
Rehan, Akbani
Broom, Bradley M.
Ken, Chen
Motter, Thomas C.
B. A.
Khanh, Nguyen
Weinstein, John N.
Nianziang, Zhang
Anderson Cancer Center, University of Texas M. D.
Houston
Ferguson, Martin L.
Mlf, Consulting
Biotechnology Consultant, Boston
Christopher, Adams
Aaron, Black
Jay, Bowen
Julie Gastier Foster
Thomas, Grossman
Tara, Lichtenberg
Lisa, Wise
the Research Institute at Nationwide Children's Hospital
Columbus, Oh
Tanja, Davidsen
Demchok, John A.
Mills Shaw, Kenna R.
Margi, Sheth
National Cancer Institute
Bethesda, Md
Sofia, Heidi J.
P. h. D., M. P. H.
National Human Genome Research Institute
Liming, Yang
Downing, James R.
Jude Children's Research Hospital, S. t.
Memphis
Greg, Eley
Sciementis, Llc
Statham, Ga
Shelley, Alonso
Brenda, Ayala
Julien, Baboud
Mark, Backus
Barletta, Sean P.
Berton, Dominique L.
M. S. C. S.
Chu, Anna L.
Stanley, Girshik
Jensen, Mark A.
Ari, Kahn
Prachi, Kothiyal
Nicholls, Matthew C.
Pihl, Todd D.
Pot, David A.
Rohini, Raman
B. E.
Sanbhadti, Rashmi N.
Snyder, Eric E.
Deepak, Srinivasan
Jessica, Walton
Yunhu, Wan
Zhining, Wang
Sra, International
Fairfax, Va
Issa, Jean Pierre J.
Temple, University
Philadelphia
Michelle Le Beau
University of Chicago
Chicago
Martin, Carroll
University of Pennsylvania
Hagop Kantarjian, M. D.
Steven, Kornblau
Bootwalla, Moiz S.
B. S. c., M. S.
Lai, Phillip H.
Hui, Shen
Van Den Berg, David J.
Weisenberger, Daniel J.
University of Southern California
Epigenome, Center
Los, Angeles
Daniel C. Link, M. D.
Walter, Matthew J.
Ozenberger, Bradley A.
Mardis, Elaine R.
Peter, Westervelt
Graubert, Timothy A.
Dipersio, John F.
Wilson, Richard K.
Source :
The New England journal of medicine. 368(22)
Publication Year :
2013

Abstract

BACKGROUND—Many mutations that contribute to the pathogenesis of acute myeloid leukemia (AML) are undefined. The relationships between patterns of mutations and epigenetic phenotypes are not yet clear. METHODS—We analyzed the genomes of 200 clinically annotated adult cases of de novo AML, using either whole-genome sequencing (50 cases) or whole-exome sequencing (150 cases), along with RNA and microRNA sequencing and DNA-methylation analysis. RESULTS—AML genomes have fewer mutations than most other adult cancers, with an average of only 13 mutations found in genes. Of these, an average of 5 are in genes that are recurrently mutated in AML. A total of 23 genes were significantly mutated, and another 237 were mutated in two or more samples. Nearly all samples had at least 1 nonsynonymous mutation in one of nine categories of genes that are almost certainly relevant for pathogenesis, including transcriptionfactor fusions (18% of cases), the gene encoding nucleophosmin (NPM1) (27%), tumorsuppressor genes (16%), DNA-methylation–related genes (44%), signaling genes (59%), chromatin-modifying genes (30%), myeloid transcription-factor genes (22%), cohesin-complex genes (13%), and spliceosome-complex genes (14%). Patterns of cooperation and mutual exclusivity suggested strong biologic relationships among several of the genes and categories. CONCLUSIONS—We identified at least one potential driver mutation in nearly all AML samples and found that a complex interplay of genetic events contributes to AML pathogenesis in individual patients. The databases from this study are widely available to serve as a foundation for further investigations of AML pathogenesis, classification, and risk stratification. (Funded by the National Institutes of Health.) The molecular pathogenesis of acute myeloid leukemia (AML) has been studied with the use of cytogenetic analysis for more than three decades. Recurrent chromosomal structural variations are well established as diagnostic and prognostic markers, suggesting that acquired genetic abnormalities (i.e., somatic mutations) have an essential role in pathogenesis. 1,2 However, nearly 50% of AML samples have a normal karyotype, and many of these genomes lack structural abnormalities, even when assessed with high-density comparative genomic hybridization or single-nucleotide polymorphism (SNP) arrays 3-5 (see Glossary). Targeted sequencing has identified recurrent mutations in FLT3, NPM1, KIT, CEBPA, and TET2. 6-8 Massively parallel sequencing enabled the discovery of recurrent mutations in DNMT3A 9,10 and IDH1. 11 Recent studies have shown that many patients with

Details

ISSN :
15334406
Volume :
368
Issue :
22
Database :
OpenAIRE
Journal :
The New England journal of medicine
Accession number :
edsair.doi.dedup.....8b5ed14395ef4a8c8249876840169b9e