Virus-encoded microRNA contributes to the molecular profile of EBV-positive Burkitt lymphomas

Oncotarget
Pier Paolo PiccalugaLorenzo Leoncini

Abstract

Burkitt lymphoma (BL) is an aggressive neoplasm characterized by consistent morphology and phenotype, typical clinical behavior and distinctive molecular profile. The latter is mostly driven by the MYC over-expression associated with the characteristic translocation (8;14) (q24; q32) or with variant lesions. Additional genetic events can contribute to Burkitt Lymphoma pathobiology and retain clinical significance. A pathogenetic role for Epstein-Barr virus infection in Burkitt lymphomagenesis has been suggested; however, the exact function of the virus is largely unknown.In this study, we investigated the molecular profiles (genes and microRNAs) of Epstein-Barr virus-positive and -negative BL, to identify specific patterns relying on the differential expression and role of Epstein-Barr virus-encoded microRNAs.First, we found significant differences in the expression of viral microRNAs and in selected target genes. Among others, we identified LIN28B, CGNL1, GCET2, MRAS, PLCD4, SEL1L, SXX1, and the tyrosine kinases encoding STK10/STK33, all provided with potential pathogenetic significance. GCET2, also validated by immunohistochemistry, appeared to be a useful marker for distinguishing EBV-positive and EBV-negative cases. Further...Continue Reading

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Citations

Aug 18, 2017·Journal of Cellular Physiology·Marina CardanoIda Biunno
Sep 13, 2017·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Claire Shannon-LoweAndrew I Bell
Jan 4, 2018·Oncotarget·Maria Raffaella AmbrosioStefano Lazzi
Apr 13, 2018·International Journal of Molecular Sciences·Mohsen NavariPier Paolo Piccaluga
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Apr 3, 2020·Biochimica Et Biophysica Acta. Biomembranes·Lorenza González-MariscalElida Amaya

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Methods Mentioned

BETA
GTPases
transfection
biopsies
Assay
PCR

Software Mentioned

Affymetrix
EASE
Gene Set Enrichment Analysis ( GSEA )
NanoStringNorm package
Bioconductor R package for
GSEA
GeneSpring GX
geWorkbench
iScan System
R

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