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Diagnosing lymphoma in a setting with a high burden of infection: a pediatric case of Epstein-Barr virus-associated aggressive B-cell lymphoma with t(8;14) (q23;q32) and extensive necrosis mimicking…

Overview of attention for article published in Revista da Sociedade Brasileira de Medicina Tropical, January 2015
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Title
Diagnosing lymphoma in a setting with a high burden of infection: a pediatric case of Epstein-Barr virus-associated aggressive B-cell lymphoma with t(8;14) (q23;q32) and extensive necrosis mimicking tuberculosis
Published in
Revista da Sociedade Brasileira de Medicina Tropical, January 2015
DOI 10.1590/0037-8682-0153-2014
Pubmed ID
Authors

Mário Henrique Magalhães Barros, Edinalva Leite, Paola Chabay, Vera Morais, Gustavo Stefanoff, Rocio Hassan

Abstract

The association of lymphoma with necrotic granuloma can pose diagnostic challenges and delay treatment, especially in settings with a high burden of infection. In these settings, the timely use of cytogenetic and molecular methods is most relevant. Here, we report a case of B-cell lymphoma with t (8;14) in a 5-year-old male child. The lymphoma was associated with necrotic granuloma and was initially misdiagnosed as tuberculosis. Polymerase chain reaction was used to detect clonal lymphoproliferation and to rule out Mycobacterium tuberculosis infection. Tumor cells harbored Epstein-Barr virus and expressed CD20, CD10, BCL6, and Ki67 (30%), leading to the diagnosis of B-cell lymphoma with features intermediate between diffuse large B-cell lymphoma and Burkitt lymphoma.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 5%
India 2 5%
United Kingdom 1 3%
Unknown 34 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 21%
Student > Postgraduate 5 13%
Student > Doctoral Student 4 10%
Student > Bachelor 3 8%
Other 3 8%
Other 8 21%
Unknown 8 21%
Readers by discipline Count As %
Medicine and Dentistry 16 41%
Immunology and Microbiology 4 10%
Nursing and Health Professions 3 8%
Social Sciences 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Other 2 5%
Unknown 9 23%