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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Clinical Lymphoma My...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Clinical Lymphoma Myeloma & Leukemia
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Fcγ Receptor Predictive Genomic Testing and the Treatment of Indolent Non-Hodgkin Lymphoma

Authors: Steven P. Treon;

Fcγ Receptor Predictive Genomic Testing and the Treatment of Indolent Non-Hodgkin Lymphoma

Abstract

In this month’s edition of Clinical Lymphoma, Myeloma & Leukemia, Zhuang et al provide an insightful review on the affect that polymorphic variants in Fcγ receptors (FcγRs) play in predicting response outcome in patients with non-Hodgkin lymphoma (NHL) who receive rituximab therapy.1 The paper nicely outlines the potential role and limitations of predictive genomics involving FcγR polymorphisms (Figure 1). Since the report by Cartron et al in 2002 showing that polymorphisms in FcγRIIIA-158 were associated with response to rituximab in patients with follicular NHL, a number of interesting queries have arisen on just how polymorphic FcγR testing could be used in the real-world practice of hematologists and oncologists.2 These queries have included:

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selected citations
These citations are derived from selected sources.
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!
7
Average
Average
Average
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