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      Epstein−Barr virus-encoded EBNA2 alters immune checkpoint PD-L1 expression by downregulating miR-34a in B-cell lymphomas

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          Abstract

          Cancer cells subvert host immune surveillance by altering immune checkpoint (IC) proteins. Some Epstein−Barr virus (EBV)-associated tumors have higher Programmed Cell Death Ligand, PD-L1 expression. However, it is not known how EBV alters ICs in the context of its preferred host, the B lymphocyte and in derived lymphomas. Here, we found that latency III-expressing Burkitt lymphoma (BL), diffuse large B-cell lymphomas (DLBCL) or their EBNA2-transfected derivatives express high PD-L1. In a DLBCL model, EBNA2 but not LMP1 is sufficient to induce PD-L1. Latency III-expressing DLBCL biopsies showed high levels of PD-L1. The PD-L1 targeting oncosuppressor microRNA miR-34a was downregulated in EBNA2-transfected lymphoma cells. We identified early B-cell factor 1 (EBF1) as a repressor of miR-34a transcription. Short hairpin RNA (shRNA)-mediated knockdown of EBF1 was sufficient to induce miR-34a transcription, which in turn reduced PD-L1. MiR-34a reconstitution in EBNA2-transfected DLBCL reduced PD-L1 expression and increased its immunogenicity in mixed lymphocyte reactions (MLR) and in three-dimensional biomimetic microfluidic chips. Given the importance of PD-L1 inhibition in immunotherapy and miR-34a dysregulation in cancers, our findings may have important implications for combinatorial immunotherapy, which include IC inhibiting antibodies and miR-34a, for EBV-associated cancers.

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          Transcriptional activation of miR-34a contributes to p53-mediated apoptosis.

          p53 is a potent tumor suppressor, whose biological effects are largely due to its function as a transcriptional regulator. Here we report that, in addition to regulating the expression of hundreds of protein-coding genes, p53 also modulates the levels of microRNAs (miRNAs). Specifically, p53 can induce expression of microRNA-34a (miR-34a) in cultured cells as well as in irradiated mice, by binding to a perfect p53 binding site located within the gene that gives rise to miR-34a. Processing of the primary transcript into mature miR-34a involves the excision of a 30 kb intron. Notably, inactivation of miR-34a strongly attenuates p53-mediated apoptosis in cells exposed to genotoxic stress, whereas overexpression of miR-34a mildly increases apoptosis. Hence, miR-34a is a direct proapoptotic transcriptional target of p53 that can mediate some of p53's biological effects. Perturbation of miR-34a expression, as occurs in some human cancers, may thus contribute to tumorigenesis by attenuating p53-dependent apoptosis.
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            Epigenetics and genetics. MicroRNAs en route to the clinic: progress in validating and targeting microRNAs for cancer therapy.

            In normal cells multiple microRNAs (miRNAs) converge to maintain a proper balance of various processes, including proliferation, differentiation and cell death. miRNA dysregulation can have profound cellular consequences, especially because individual miRNAs can bind to and regulate multiple mRNAs. In cancer, the loss of tumour-suppressive miRNAs enhances the expression of target oncogenes, whereas increased expression of oncogenic miRNAs (known as oncomirs) can repress target tumour suppressor genes. This realization has resulted in a quest to understand the pathways that are regulated by these miRNAs using in vivo model systems, and to comprehend the feasibility of targeting oncogenic miRNAs and restoring tumour-suppressive miRNAs for cancer therapy. Here we discuss progress in using mouse models to understand the roles of miRNAs in cancer and the potential for manipulating miRNAs for cancer therapy as these molecules make their way towards clinical trials.
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              Epstein-Barr virus: more than 50 years old and still providing surprises.

              It is more than 50 years since the Epstein-Barr virus (EBV), the first human tumour virus, was discovered. EBV has subsequently been found to be associated with a diverse range of tumours of both lymphoid and epithelial origin. Progress in the molecular analysis of EBV has revealed fundamental mechanisms of more general relevance to the oncogenic process. This Timeline article highlights key milestones in the 50-year history of EBV and discusses how this virus provides a paradigm for exploiting insights at the molecular level in the diagnosis, treatment and prevention of cancer.
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                Author and article information

                Contributors
                +39 06 49973015 , Pankaj.trivedi@uniroma1.it
                +1 617 7352601 , fslack@bidmc.harvard.edu
                Journal
                Leukemia
                Leukemia
                Leukemia
                Nature Publishing Group UK (London )
                0887-6924
                1476-5551
                26 June 2018
                26 June 2018
                2019
                : 33
                : 1
                : 132-147
                Affiliations
                [1 ]ISNI 000000041936754X, GRID grid.38142.3c, Harvard Medical School Initiative for RNA Medicine, Department of Pathology, Beth Israel Deaconess Medical Center, , Harvard Medical School, ; Boston, MA USA
                [2 ]ISNI 000000041936754X, GRID grid.38142.3c, Department of Hematology, Beth Israel Deaconess Medical Center, , Harvard Medical School, ; Boston, MA USA
                [3 ]ISNI 000000041936754X, GRID grid.38142.3c, The Wyss Institute for Biological Inspired Engineering at Harvard, , Harvard University, ; Boston, MA USA
                [4 ]GRID grid.7841.a, Department of Clinical and Molecular Medicine, Sant’Andrea Hospital, , Sapienza University, ; Rome, Italy
                [5 ]ISNI 0000 0000 9120 6856, GRID grid.416651.1, Department of Infectious Diseases, , Istituto Superiore di Sanità, ; Rome, Italy
                [6 ]ISNI 0000 0004 0483 2525, GRID grid.4567.0, Helmholtz Zentrum München, , Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), ; Marchioninistraße 25, 81377 Munich, Germany
                [7 ]ISNI 000000041936754X, GRID grid.38142.3c, Bioinformatics Core, , Harvard T. H. Chan School of Public Health, ; Boston, MA 02115 USA
                [8 ]GRID grid.7841.a, Department of Experimental Medicine, , Sapienza University, ; Viale Regina Elena 324, 0161 Rome, Italy
                Author information
                http://orcid.org/0000-0003-0212-6734
                http://orcid.org/0000-0001-8263-0409
                Article
                178
                10.1038/s41375-018-0178-x
                6327052
                29946193
                63b745e4-88eb-4c8a-8ce7-20619df9cbf3
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 June 2017
                : 27 April 2018
                : 11 May 2018
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                © Springer Nature Limited 2019

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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