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Cited by 1,317

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

‘Acute myeloid leukemia: a comprehensive review and 2016 update’

Open access
De Kouchkovsky, I, Abdul-Hay, M·2016·Blood Cancer Journal

Abstract

Acute myeloid leukemia (AML) is the most common acute leukemia in adults, with an incidence of over 20 000 cases per year in the United States alone. Large chromosomal translocations as well as mutations in the genes involved in hematopoietic proliferation and differentiation result in the accumulation of poorly differentiated myeloid cells. AML is a highly heterogeneous disease; although cases can be stratified into favorable, intermediate and adverse-risk groups based on their cytogenetic profile, prognosis within these categories varies widely. The identification of recurrent genetic mutations, such as FLT3-ITD, NMP1 and CEBPA, has helped refine individual prognosis and guide management. Despite advances in supportive care, the backbone of therapy remains a combination of cytarabine- and anthracycline-based regimens with allogeneic stem cell transplantation for eligible candidates. Elderly patients are often unable to tolerate such regimens, and carry a particularly poor prognosis. Here, we review the major recent advances in the treatment of AML.

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Metadata

Authors
De Kouchkovsky, I., & Abdul-Hay, M.
Venue
Blood Cancer Journal
Published
2016-07-01
Volume
6
Issue
7
Pages
e441-e441
ISSN
2044-5385 (ISSN-L)
OpenAlex
W2461928138
Cited by
1,317
References
99
FWCI
59.78
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: ‘Acute myeloid leukemia: a comprehensive review and 2016 update’. https://app.cochat.ai/papers/10.1038/bcj.2016.50
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De Kouchkovsky, I., & Abdul-Hay, M. (2016). ‘Acute myeloid leukemia: a comprehensive review and 2016 update’. Blood Cancer Journal. https://doi.org/10.1038/bcj.2016.50

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.