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dc.contributor.authorMassimo, Granai
dc.contributor.authorMundo, Lucia
dc.contributor.authorAkarca, Ayse U
dc.contributor.authorSiciliano, Maria C
dc.contributor.authorHasan, Rizvi
dc.contributor.authorMancini, Virginia
dc.contributor.authorOnyango, Noel
dc.contributor.authorNyagol, Joshua
dc.contributor.authorAbinya, Nicholas O
dc.contributor.authorMaha, Ibrahim
dc.contributor.authorMargielewska, Sandra
dc.contributor.authorWenbin, Wi
dc.contributor.authorMichele, Bibas
dc.contributor.authorPiccaluga, Pier P
dc.contributor.authorLeticia, Quintanilla-Martinez
dc.contributor.authorFalko, Fend
dc.contributor.authorLazzi, Stefano
dc.contributor.authorLorenzo, Leoncini
dc.contributor.authorTeresa, Marafioti
dc.date.accessioned2020-11-04T12:24:47Z
dc.date.available2020-11-04T12:24:47Z
dc.date.issued2020
dc.identifier.citationGranai M, Mundo L, Akarca AU, Siciliano MC, Rizvi H, Mancini V, Onyango N, Nyagol J, Abinya NO, Maha I, Margielewska S, Wi W, Bibas M, Piccaluga PP, Quintanilla-Martinez L, Fend F, Lazzi S, Leoncini L, Marafioti T. Immune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency program. Infect Agent Cancer. 2020 May 6;15:28. doi: 10.1186/s13027-020-00292-w. Erratum in: Infect Agent Cancer. 2020 Jun 10;15:39. PMID: 32391073; PMCID: PMC7201729.en_US
dc.identifier.urihttps://pubmed.ncbi.nlm.nih.gov/32391073/
dc.identifier.urihttp://erepository.uonbi.ac.ke/handle/11295/153323
dc.description.abstractBackground: The Tumor Microenviroment (TME) is a complex milieu that is increasingly recognized as a key factor in multiple stages of disease progression and responses to therapy as well as escape from immune surveillance. However, the precise contribution of specific immune effector and immune suppressor components of the TME in Burkitt lymphoma (BL) remains poorly understood. Methods: In this paper, we applied the computational algorithm CIBERSORT to Gene Expression Profiling (GEP) datasets of 40 BL samples to draw a map of immune and stromal components of TME. Furthermore, by multiple immunohistochemistry (IHC) and multispectral immunofluorescence (IF), we investigated the TME of additional series of 40 BL cases to evaluate the role of the Programmed Death-1 and Programmed Death Ligand-1 (PD-1/PD-L1) immune checkpoint axis. Results: Our results indicate that M2 polarized macrophages are the most prominent TME component in BL. In addition, we investigated the correlation between PD-L1 and latent membrane protein-2A (LMP2A) expression on tumour cells, highlighting a subgroup of BL cases characterized by a non-canonical latency program of EBV with an activated PD-L1 pathway. Conclusion: In conclusion, our study analysed the TME in BL and identified a tolerogenic immune signature highlighting new potential therapeutic targets.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectBurkitt lymphoma; EBV; Immune checkpoint; Immunotherapy; PD-L1; Tumour microenvironment.en_US
dc.titleImmune landscape in Burkitt lymphoma reveals M2-macrophage polarization and correlation between PD-L1 expression and non-canonical EBV latency programen_US
dc.typeArticleen_US


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