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Article . 2008 . Peer-reviewed
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Blood
Article . 2008
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Myelodysplastic syndromes

Authors: Stephen D, Nimer;

Myelodysplastic syndromes

Abstract

AbstractThere has been a remarkable explosion of knowledge into the molecular defects that underlie the acute and chronic leukemias, leading to the introduction of targeted therapies that can block key cellular events essential for the viability of the leukemic cell. Our understanding of the pathogenesis of the myelodysplastic syndromes (MDSs) has lagged behind, at least in part, because they represent a more heterogeneous group of disorders. The significant immunologic abnormalities described in this disease, coupled with the admixture of MDS stem or progenitor cells within the myriad types of dysplastic and normal cells in the bone marrow and peripheral blood, have made it difficult to molecularly characterize and model MDS. The recent availability of several, effective (ie, FDA-approved) therapies for MDS and newly described mouse models that mimic aspects of the human disease provide an opportune moment to try to leverage this new knowledge into a better understanding of and better therapies for MDS.

Related Organizations
Keywords

Drug Delivery Systems, Drug Therapy, Myelodysplastic Syndromes, Mutation, Animals, Humans, Prognosis

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
338
Top 1%
Top 1%
Top 0.1%
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