The complexity of interpreting genomic data in patients with acute myeloid leukemia-Reference-Cited by-同舟云学术

The complexity of interpreting genomic data in patients with acute myeloid leukemia

Published:2016-12 Issue:12 Volume:6 Page:e510-e510
ISSN:2044-5385
Container-title:Blood Cancer Journal
language:en
Short-container-title:Blood Cancer Journal

Author:

Nazha A,Zarzour A,Al-Issa K,Radivoyevitch T,Carraway H E,Hirsch C M,Przychodzen B,Patel B J,Clemente M,Sanikommu S R,Kalaycio M,Maciejewski J P,Sekeres M A

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Hematology

Link

http://www.nature.com/articles/bcj2016115.pdf

Reference13 articles.

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2. Ding L, Ley TJ, Larson DE, Miller CA, Koboldt DC, Welch JS et al. Clonal evolution in relapsed acute myeloid leukaemia revealed by whole-genome sequencing. Nature 2012; 481: 506–510.

3. Mrozek K, Heerema NA, Bloomfield CD . Cytogenetics in acute leukemia. Blood Rev 2004; 18: 115–136.

4. Byrd JC, Mrozek K, Dodge RK, Carroll AJ, Edwards CG, Arthur DC et al. Pretreatment cytogenetic abnormalities are predictive of induction success, cumulative incidence of relapse, and overall survival in adult patients with de novo acute myeloid leukemia: results from Cancer and Leukemia Group B (CALGB 8461). Blood 2002; 100: 4325–4336.

5. Walter MJ, Payton JE, Ries RE, Shannon WD, Deshmukh H, Zhao Y et al. Acquired copy number alterations in adult acute myeloid leukemia genomes. Proc Natl Acad Sci USA 2009; 106: 12950–12955.

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