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Clonal deleted latent membrane protein 1 variants of Epstein‐Barr virus are predominant in European extranodal NK/T lymphomas and disappear during successful treatment

Overview of attention for article published in International Journal of Cancer, April 2016
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Title
Clonal deleted latent membrane protein 1 variants of Epstein‐Barr virus are predominant in European extranodal NK/T lymphomas and disappear during successful treatment
Published in
International Journal of Cancer, April 2016
DOI 10.1002/ijc.30128
Pubmed ID
Authors

Mohamad Adnan Halabi, Arnaud Jaccard, Rémi Moulinas, Racha Bahri, Hazar Al Mouhammad, Nour Mammari, Jean Feuillard, Sylvie Ranger-Rogez

Abstract

Extranodal natural killer/T-cell lymphomas (NK/TL), rare in Europe, are Epstein-Barr virus (EBV) associated lymphomas with poor outcomes. Here, we determined the virus type and analyzed the EBV latent membrane protein-1 (LMP1) sequence in NK/TL from French patients. Six clones of viral LMP1 were sequenced by Sanger technology in blood from 13 patients before treatment with an L-asparaginase based regimen and, for 8 of them, throughout the treatment. Blood LMP1 sequences from 21 patients without any known malignancy were tested as controls. EBV type A was identified for 11/13 patients and for all controls. Before treatment, a clonal LMP1 gene containing a 30bp deletion (del30) was found in 46.1% of NK/TL and only in 4.8% of controls. Treatment was less effective in these patients who died more rapidly than the others. Patients with a deleted strain evolving towards a wild type strain during treatment reached complete remission. The LMP1 gene was sequenced by highly sensitive next-generation sequencing technology (NGS) in 5 NK/TL nasopharyngeal biopsies, 2 of them originating from the previous patients. Del30 was present in 100% of the biopsies; 2 viruses at least coexisted in 3 biopsies. These results suggest that del30 may be associated with poor prognosis NK/TL and that strain evolution could be used as a potential marker to monitor treatment. This article is protected by copyright. All rights reserved.

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Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Researcher 3 25%
Professor > Associate Professor 1 8%
Professor 1 8%
Unknown 4 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 50%
Immunology and Microbiology 1 8%
Medicine and Dentistry 1 8%
Engineering 1 8%
Unknown 3 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 August 2017.
All research outputs
#19,294,717
of 24,565,648 outputs
Outputs from International Journal of Cancer
#10,533
of 12,088 outputs
Outputs of similar age
#211,119
of 304,408 outputs
Outputs of similar age from International Journal of Cancer
#73
of 96 outputs
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