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Differential IgM expression distinguishes two types of pediatric Burkitt lymphoma in mouse and human

Overview of attention for article published in Oncotarget, August 2016
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Title
Differential IgM expression distinguishes two types of pediatric Burkitt lymphoma in mouse and human
Published in
Oncotarget, August 2016
DOI 10.18632/oncotarget.11531
Pubmed ID
Authors

Anthony B. Eason, Sang-Hoon Sin, Carolina Lin, Blossom Damania, Steven Park, Yuri Fedoriw, Carlos E. Bacchi, Dirk P. Dittmer

Abstract

Endemic Burkitt lymphoma (eBL) is primarily a childhood cancer in parts of Africa and Brazil. Classic studies describe eBL as a homogeneous entity based on t(8;14) IgH-Myc translocation and clinical response to cytotoxic therapy. By contrast, sporadic BL (sBL) in Western countries is considered more heterogeneous, and affects both children and adults. It is overrepresented in AIDS patients. Unlike diffuse large B cell lymphoma (DLBCL), molecular subtypes within BL have not been well defined. We find that differential IgM positivity can be used to describe two subtypes of pediatric Burkitt lymphoma both in a high incidence region (Brazil), as well as in a sporadic region (US), suggesting the phenotype is not necessarily geographically isolated. Moreover, we find that IgM positivity also distinguishes between early and late onset BL in the standard Eμ-Myc mouse model of BL. This suggests that the t(8;14) translocation not only can take place before, but also after isotype switch recombination, and that IgM-negative, t(8;14) positive lymphomas in children should nevertheless be considered BL.

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Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 29%
Researcher 4 14%
Student > Ph. D. Student 4 14%
Professor 3 11%
Student > Doctoral Student 2 7%
Other 5 18%
Unknown 2 7%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Immunology and Microbiology 6 21%
Biochemistry, Genetics and Molecular Biology 4 14%
Chemistry 3 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 7%
Other 2 7%
Unknown 5 18%