Literature DB >> 32397085

miRNAs: EBV Mechanism for Escaping Host's Immune Response and Supporting Tumorigenesis.

Snježana Židovec Lepej1,2, Maja Matulić2, Paula Gršković2, Mirjana Pavlica2, Leona Radmanić1, Petra Korać2.   

Abstract

Epstein-Barr virus (EBV) or human herpesvirus 4 (HHV-4) is a ubiquitous human oncogenic virus, and the first human virus found to express microRNAs (miRNAs). Its genome contains two regions encoding more than 40 miRNAs that regulate expression of both viral and human genes. There are numerous evidences that EBV miRNAs impact immune response, affect antigen presentation and recognition, change T- and B-cell communication, drive antibody production during infection, and have a role in cell apoptosis. Moreover, the ability of EBV to induce B-cell transformation and take part in mechanisms of oncogenesis in humans is well known. Although EBV infection is associated with development of various diseases, the role of its miRNAs is still not understood. There is abundant data describing EBV miRNAs in nasopharyngeal carcinoma and several studies that have tried to evaluate their role in gastric carcinoma and lymphoma. This review aims to summarize so far known data about the role of EBV miRNAs in altered regulation of gene expression in human cells in EBV-associated diseases.

Entities:  

Keywords:  EBV; carcinoma; lymphoma; miRNA

Year:  2020        PMID: 32397085      PMCID: PMC7281681          DOI: 10.3390/pathogens9050353

Source DB:  PubMed          Journal:  Pathogens        ISSN: 2076-0817


1. Introduction

Epstein-Barr virus (EBV) or human herpesvirus 4 (HHV-4) is a ubiquitous human oncogenic virus that belongs to the family Herpesviridae, subfamily Gammaherpesvirinae, and genus Lymphocryptovirus [1]. Since its first description in 1964 and subsequent recognition of its ability to induce B-cell transformation in vitro, EBV has been extensively used as a model for research focusing on fundamental mechanisms of oncogenesis in humans. It is also used as a model in devising diagnostic, therapeutic, and prevention strategies in malignant diseases [2,3,4,5]. Approximately 95% of the human population is infected with EBV and will remain carriers of the virus for the rest of their lives. By modulating its own transcriptional patterns during lytic and latent stages of infection, EBV establishes a lifelong persistence in both immunocompetent and immunocompromised hosts and modifies the host’s immune system effector mechanisms [6]. However, in the context of immunosuppression, regardless of the specific cause, the immune system fails to efficiently control EBV replication [7]. Subsequently, latent infection with EBV may be associated with development of various malignancies originating from epithelial cells, lymphocytes, and mesenchymal cells, including posttransplant B-cell lymphomas, Hodgkin’s and non-Hodgkin’s lymphomas, diffuse large B-cell lymphoma, Burkitt’s lymphoma, natural killer (NK)/T-cell lymphoma, nasopharyngeal carcinoma (NPC), and gastric carcinoma (GC) [7,8]. MicroRNAs (miRNA) are small, non-coding RNA molecules of cellular or viral origin that consist of 18–22 nucleotides and play an important role in regulation of gene expression. Consequently, they affect key events in cell biology such as proliferation, apoptosis, and lipid metabolism. By binding to messenger RNAs (mRNAs), miRNAs induce degradation of mRNAs or inhibition of translation, thus reducing levels of expression of target genes. Virus-encoded miRNAs (v-miRNAs) are considered an important non-immunogenic tool for post-transcriptional regulation of both host and viral gene expression in infected cells [9]. The majority of literature data on v-miRNAs, particularly in the context of tumorigenesis, focuses on v-miRNAs in EBV, Kaposi’s sarcoma-associated herpesvirus (KSHV/HHV8), human papillomaviruses (HPV), hepatitis C virus (HCV), hepatitis B virus (HBV), and Merkel Cell Polyomavirus (MCPyV) [9,10,11]. EBV was the first virus shown to express miRNAs [12]. EBV-encoded miRNAs (EBV miRNAs) target both viral and cellular mRNAs in infected cells, extending their role beyond regulating various stages of the EBV replication cycle. They influence cellular proliferation and apoptosis and play a part in driving diverse molecular pathways of oncogenesis and evading innate and adaptive immune responses. The aim of this review is to summarize current views on the role of EBV miRNAs in altered gene expression associated with immune evasion and tumorigenesis.

2. EBV miRNAs

EBV genome is a double-stranded DNA molecule that consists of 175 kbp containing nearly 100 genes and coding for 44 microRNAs [13,14,15]. It was first sequenced in 1984 by using M13 libraries made from viral EcoR I and BamH I fragments gathered after sonification [16]. Today, after more than 100 EBV genomes from tumor cells samples and healthy individuals’ tissue have been sequenced, the complete EBV genome can be found in the NCBI GeneBank [17]. In 2004, Pfeffer et al. first described two clusters in the EBV genome responsible for production of EBV miRNAs [12]. The first cluster was found in the sequence for BamH I fragment H rightward open reading frame 1 (BHRF1) mRNA. It produces three miRNA precursors (ebv-miR-BHRF1-1, -2, and -3) and, subsequently, four mature miRNAs [18]. The second cluster is BamH I-A region rightward transcript (BART) and it encodes 22 miRNA precursors (ebv-miR-BART1-22) of 40 mature miRNA molecules [12,19] (Figure 1).
Figure 1

Schematic presentation of the Epstein–Barr virus genome structure (based on References [12,20,21]).

Expression of BHRF1 miRNAs is latency stage-dependent (they are mainly expressed in type III latency), while BART miRNAs are transcribed in all latency stages [12]. Despite the coordinated expression of each miRNA cluster, significant differences in the expression levels of individual EBV miRNAs in the same type of human cells (as high as 50-fold) have been observed [12,22]. It has been suggested that different genotypes as well as genomic variants of EBV could be associated with different patterns of individual miRNA expression in infected cells [23,24,25]. A number of studies on EBV miRNA biosynthesis (reviewed by Wang et al., 2018) suggest that EBV gene products are not necessary for v-miRNA production. This proposition indicates that the molecular mechanisms responsible for the synthesis of v-miRNAs and cellular miRNAs in host cells are similar [20]. Analysis of EBV genomic sequences in gastric carcinoma and EBV-associated lymphoma has showed that despite the genetic diversity in almost the entire EBV genome, the regions encoding miRNAs are highly conserved [26,27].

3. The Role of EBV miRNAs in Immune Evasion

Alongside immune evasion strategies mediated by host miRNAs and viral glycoproteins, EBV miRNAs are another means by which the virus successfully avoids effector mechanisms of the host’s immune system [28]. The main strategies for immune evasion used by EBV miRNAs are the following:

3.1. Pattern-Recognition Receptor-Mediated Signaling Pathways and Interferons

EBV interferes with efficient initiation of innate immune response at the very first step, e.g., by targeting expression of pattern recognition receptors (PRR). The impaired expression of PRR affects subsequent signal transduction as well as cytokine synthesis [29]. The two main targets for EBV miRNAs are retinoic acid-inducible protein 1 (RIG-I) receptors (mediated by miR-BART6-3p) and Toll-like receptors [20,30]. The lack of EBV molecular pattern recognition by PRR is associated with the absence of the JAK (Janus kinase)-STAT (Signal Transducer and Activator of Transcription)-mediated transduction pathway. The ineffectiveness of this signaling pathway leads to the impaired synthesis of type I interferons (IFNs) and other pro-inflammatory cytokines that are essential for innate immune responses [31]. Studies on nasal NK-cell lymphoma (NNL) cells showed that EBV miRNAs (miR-BART20-5p and miR-BART8) impact the signal transduction pathway for IFN-γ by targeting STAT1, which enables the virus to avoid antiviral activity of both type I and type II IFNs [32] (Figure 2).
Figure 2

The role of EBV miRNAs in the immune evasion.

3.2. Natural Killer (NK) Cells

The role of EBV miRNAs in the evasion of NK-cell-mediated responses has been analyzed in nasopharyngeal carcinoma cells in vitro. Interaction between the natural killer group 2 member D (NKG2D) receptor on NK cells and major histocompatibility complex class I chain-related peptide A (MICA) is considered the key step in the recognition and killing of cancer cells. Expression of MICA in NPC is positively regulated by transforming growth factor β-1 (TGF-β1). Wong et al. (2018) showed that miR-BART7 reduces the expression of TGF-β1 in NPC cells and impairs the NK-cell-mediated recognition of virus-infected cells [33] (Figure 2).

3.3. Inflammasome

Immune evasion strategies employed by EBV also target NLR family pyrin domain-containing 3 (NLRP3) inflammasomes, which are responsible for inflammatory responses mediated by IL-1β and IL-18 upon recognition of viral antigens. The activity of inflammasomes is targeted directly at the level of NLRP3 expression (via miR-BART15), or indirectly, by targeting the IL-1 receptor itself (via miR-BHRF1-2-5p) [34,35] (Figure 2).

3.4. Cytokines and Chemokines

miR-BART1, miR-BART2, miR-BART10, and miR-BART22 suppress efficient CD8+ T-cell-mediated antiviral immune response by targeting IL-12, a pro-inflammatory cytokine responsible for differentiation of naive type 1 helper T-cell (Th1 cells) to mature Th1 cells, increased synthesis of IFN-γ, activation of NK- and T-cells as well as inhibition of angiogenesis [36,37]. In addition, miR-BART6-3p interferes with biological activity of IL-6 by targeting expression of the IL-6 receptor [38]. EBV miRNAs also enable the virus to evade Th1-mediated antiviral immunity by modulating expression of chemokines. For example, miR-BHRF1-3 targets an IFN-inducible chemokine CXCL11 (CXC-chemokine ligand 11) responsible for the selective homing of Th1 effector cells and NK-cells to the sites of infection [20,39] (Figure 2).

3.5. Antigen Presentation

EBV miRNAs impair mechanisms of specific immunity by affecting adequate antigen recognition at the level of antigen processing (reduced expression of lysosomal enzymes), transport of processed antigenic peptides to major histocompatibility complex (MHC) molecules (by targeting peptide transporter subunit TAP2), and antigen presentation (reduction of lymphocyte antigen 75 expression on dendritic cells) [20,37,40,41,42] (Figure 2).

3.6. Specific Cellular Immunity

T-cell-mediated immunity can maintain long term immune control over EBV replication (for >50 years in some individuals) while clinical consequences associated with EBV infection in persons with impairment of T-cell development or function are shown to be very severe. This suggests that virus-specific T-cell responses represent the main means of protective immunity in EBV infection [37]. EBV miRNAs specifically target host genes coding for key regulators of T-cell responses including T-bet (miR-BART20-5p), Mucosa-associated lymphoid tissue lymphoma transport protein 1 (MALT1) (miR-BHRF1-2-5p), and C type lectin superfamily 2 member D (CLEC2D) (miR-BART1-3p and miR-BART3-3p) [43] (Figure 2). T-bet belongs to the T-box family of transcription factors that are the main enhancers of the Th1 differentiation pathway and subsequent Th1 cell-specific IFN-γ synthesis, which are important for efficient antiviral immunity. Inhibition of T-bet translation (with subsequent suppression of p53) by EBV miRNAs, originally shown in invasive nasal NK/T-cell lymphoma cells, is supposedly associated with the inhibition of Th1 differentiation pathways. As a result, the control of EBV replication is less efficient [43]. However, T-bet also regulates transcriptional networks that are common among other types of immune cells (including dendritic cells and innate lymphoid cells) and is currently considered to have an important role in bridging innate and adaptive immunity (for review see Lazarevic et al., 2017) [44]. In addition, T-bet acts as a selective repressor of transcriptional pathways associated with type I IFNs subsequent to IFN-γ-induced signaling [44,45]. Therefore, EBV miRNAs-mediated inhibition of T-bet’s biological activity may have a significantly broader effect on the evasion of antiviral immunity in EBV infection than originally thought.

4. The Role of EBV miRNAs in Tumorigenesis

EBV association with development and progression of malignant tumors is well known, especially its frequent infection of lymphoma and carcinoma cells. Nevertheless, the role of EBV miRNAs in tumorigenesis has only recently come into focus.

4.1. EBV miRNAs in Lymphoma

EBV miRNAs have been linked to development and progression of various types of lymphoma, such as acquired immunodeficiency syndrome-related diffuse large B-cell lymphoma (AIDS-related DLBCL), EBV-positive DLBCL, Burkitt lymphoma (BL), nasal NK/T-cell lymphoma (NNL), Hodgkin’s lymphoma (HL), posttransplant lymphoproliferative disorder (PTLD), and others [23]. miR-BHRF1-3 was found to be highly expressed in AIDS-related DLBCL compared to EBV-positive BL and EBV-negative DLBCL [39]. miR-BHRF-1-1 was detected in all samples of EBV-associated primary central nervous system PTLD (pCNS PTLD) and mir-BHRF-1-2 was found in about 50% of the same pCNS PTLD patients [46]. EBV-miRNAs belonging to BART clusters were found in pCNS PTLD, but with varying expression of different BART miRNAs [46]. Furthermore, miR-BART7, miR-BART22, miR-BART10, miR-BART11-5p, and miR-BART16 were found to be most prominently expressed in EBV-positive DLBCL not associated with AIDS [47]. Only EBV miRNAs from BART clusters were found in endemic BL (eBL) [48]. miR-BART7, miR-BART5, miR-BART11-5p, miR-BART1-5p, and miR-BART19-3p were found in NNL, as well as miR-BART21 and miR-BART22, previously found in EBV-positive carcinomas [49,50]. Expression of BART miRNAs have also been observed in HL [12]. The presence of diverse EBV miRNAs in different types of lymphoma was analyzed not only in patient samples, but it was also researched through cell line-based studies. In BL41/95 cell line, derived from BL, BHRF miRNAs were detected [12]. The study by Ambrosio et al. in which BL-derived cell line Akata was used as a model, revealed that the expression of PTEN and IL6 receptor subunits was lower in the presence of miR-BART6-3p and was restored if the cells were simultaneously transfected with miR-BART6-3p inhibitor [48]. Zhou et al. found that Ramos cell line (derived from EBV-negative BL) transfected simultaneously with oligonucleotides mimicking cellular miRNA-142 and miBART6-3p, displayed lower expression of PTEN compared to negative control and cells transfected with the same oligonucleotides separately. This suggests that miR-BART6-3p downregulates PTEN, a tumor suppressor that regulates the PI3K/Akt pathway, in cooperation with cellular miRNA-142 [51]. Moreover, in two cell lines derived from lymphomas of NK cell origin (YT and NK92), it was shown that miR-BART20-5p was responsible for downregulation of T-bet, and therefore p53, and IFN-γ [43].

4.2. EBV miRNAs in Carcinoma

EBV is also known to be associated with the development of NPC and GC. Recently, the role of EBV miRNAs was thoroughly studied in these malignancies. BART miRNAs were first found in NPC, xenografted and propagated in nude mice [52,53], and subsequently in NPC patient biopsies [54]. They were found to be highly expressed in NPC and GC, but BHRF1 miRNAs were generally not present in those entities. At least 105 host genes were shown to be regulated by BART miRNAs during carcinoma development [55], but genes recognized as EBV miRNAs’ targets in B-cell lymphomas were not confirmed in carcinomas. Increased expression of BART miRNA clusters and individual BART miRNAs correlated with higher tumor grade and poor patient survival in NPC and GC. Generally, it is believed that BART miRNAs in carcinoma act in synergy or obtain significant effects by combining their individual activities, in cooperation or competition with cellular miRNAs. It was shown that BART miRNAs target numerous transcripts of different genes, thus deregulating various downstream molecules and signaling pathways [56]. Consequently, BART miRNAs allow infected cells to avoid apoptosis by inactivating different pro-apoptotic molecules, influence cell proliferation, inhibit the expression of regulatory tumor suppressors, mediate cancer metabolism, stimulate cell migration and metastasis, inhibit cell differentiation, and manage immune evasion and regulation of the virus latency through coordination of cellular and viral signaling pathways [49,57,58] (Table 1).
Table 1

Targets of BART miRNAs and processes affected by their interactions in carcinoma cells.

BARTBART TargetAffected ProcessStudyMethod
1PTENmigration, signalingCai et al. 2015a, Cai et al. 2015b [59,60]reporter assay
1-5pα1subunit AMPKmetabolismLyu et al. 2018 [61]reporter assay, biopsies, cell culture
1-5pLMP1viral latencyLo et al. 2007 [62]reporter assay
3DICE1apoptosisKang et al. 2015, Lei et al. 2013 [63,64]reporter assay, PAR-CLIP
3CASZ1aapoptosisKang et al. 2015 [63]PAR-CLIP, reporter assay
4-5pBIDapoptosisShinozaki-Ushiku et al. 2015 [65]reporter assay, biopsies
5PUMAapoptosisChoy et al. 2008 [66]reporter assay
5-3pp53apoptosisZheng et al. 2018 [67]reporter assay
5-5pATMDNA repairLung et al. 2018 [68]reporter assay
6-3pLOC353103 RNAanti-migrationHe et al. 2016 [69]cell culture, reporter assay
6OCT1apoptosisKang et al. 2015 [63]PAR-CLIP, reporter assay
6DicerapoptosisKang et al. 2015, Iizasa et al. 2010 [63,70]PAR-CLIP, reporter assay
7-3pPTENmigration, signalingCai et al. 2015a, Cai et al. 2015b [59,60]reporter assay
7-3pATMDNA repairLung et al. 2018 [68]reporter assay
8-3pRNF38signaling, migrationLin et al. 2018 [71]biopsy sequencing, reporter assay
8ARID2unknownKang et al. 2015 [63]PAR-CLIP, reporter assay
9E CADmigrationTsai et al. 2017, Hsu et al. 2014 [24,72]reporter assay, biopsies
9-3pATMDNA repairLung et al. 2018 [68]reporter assay
10BTRCsignaling, migrationZeng et al. 2014, Yan et al. 2015 [57,73]reporter assay, biopsies
10-3pDKK1signaling, migrationMin et al. 2019 [74]reporter assay
11trFOXP1immune evasion, differentiationSong et al. 2016 [75]reporter assay, biopsies
13NKIRAS2signalingXu et al. 2019 [76]biopsies, cell culture
14-3pATMDNA repairLung et al. 2018 [68]reporter assay
15-3pBRUCEanti-apoptosisChoy et al. 2013 [77]reporter assay, WB
16CRBBPapoptosisKang et al. 2015 [63]PAR-CLIP, reporter assay
16SH2B3apoptosisKang et al. 2015 [63]PAR-CLIP, reporter assay
16TOMM22apoptosisKang et al. 2015 [63]PAR-CLIP, reporter assay
16LMP1viral latencyLo et al. 2007 [62]reporter assay
17-5pLMP1viral latencyLo et al. 2007 [62]reporter assay
22PAK2apoptosisKang et al. 2015 [63]PAR-CLIP, reporter assay
22TP53INP1apoptosisKang et al. 2015 [63]PAR-CLIP, reporter assay
22 and cluster IINDRG1metastasis, differentiationKanda et al. 2015 [78]microarray reporter assay
BART miRNAs also modulate host cell pathways by mimicking cellular miRNAs. Although this feature is still not explored enough, several BART miRNAs were shown to have “seed” sequences similar to those of cellular miRNAs: miR-BART5 compared to miR-18a and miR-18b [66,79], miR-BART9 to miR-200a and miR-141 [72], miR-BART15-3p to miR-223-3p, and miR-BART18-5p to miR-26a [35,80]. Overall, BART miRNAs are highly expressed in NPC and GC types associated with EBV infection where they act synergistically and have redundant activities, but also possibly differ in their target genes in different intracellular milieus.

5. Conclusions

We envision that further detection of cellular processes affected and regulated by EBV miRNAs will contribute to better understanding of the role of viral non-coding RNAs in the development of virus-induced cancers in humans. In case of EBV, despite extensive research, there are currently no antiviral drugs or EBV-vaccines approved for use in humans. In years to come, better evaluation and understanding of the viral miRNA mechanisms might reveal new biomarkers and potential therapeutic targets.
  78 in total

1.  Expression of the Epstein-Barr virus BamHI A fragment in nasopharyngeal carcinoma: evidence for a viral protein expressed in vivo.

Authors:  K J Gilligan; P Rajadurai; J C Lin; P Busson; M Abdel-Hamid; U Prasad; T Tursz; N Raab-Traub
Journal:  J Virol       Date:  1991-11       Impact factor: 5.103

2.  Determination and genome-wide analysis of Epstein-Barr virus (EBV) sequences in EBV-associated gastric carcinoma from Guangdong, an endemic area of nasopharyngeal carcinoma.

Authors:  Jian-Ning Chen; Lu Zhou; Xin-Min Qiu; Ri-Hong Yang; Jing Liang; Yu-Hang Pan; Hai-Feng Li; Guo-Rong Peng; Chun-Kui Shao
Journal:  J Med Microbiol       Date:  2018-09-21       Impact factor: 2.472

3.  EBV-miR-BART7-3p promotes the EMT and metastasis of nasopharyngeal carcinoma cells by suppressing the tumor suppressor PTEN.

Authors:  L-M Cai; X-M Lyu; W-R Luo; X-F Cui; Y-F Ye; C-C Yuan; Q-X Peng; D-H Wu; T-F Liu; E Wang; F-M Marincola; K-T Yao; W-Y Fang; H-B Cai; X Li
Journal:  Oncogene       Date:  2014-10-27       Impact factor: 9.867

4.  A comprehensive analysis of the cellular and EBV-specific microRNAome in primary CNS PTLD identifies different patterns among EBV-associated tumors.

Authors:  S E K Fink; M K Gandhi; J P Nourse; C Keane; K Jones; P Crooks; K Jöhrens; A Korfel; H Schmidt; S Neumann; A Tiede; U Jäger; U Dührsen; R Neuhaus; M Dreyling; K Borchert; T Südhoff; H Riess; I Anagnostopoulos; R U Trappe
Journal:  Am J Transplant       Date:  2014-08-04       Impact factor: 8.086

5.  EBV microRNAs in primary lymphomas and targeting of CXCL-11 by ebv-mir-BHRF1-3.

Authors:  Tianli Xia; Andrea O'Hara; Iguaracyra Araujo; Jose Barreto; Eny Carvalho; Jose Bahia Sapucaia; Juan Carlos Ramos; Estela Luz; Celia Pedroso; Michele Manrique; Ngoc L Toomey; Carlos Brites; Dirk P Dittmer; William J Harrington
Journal:  Cancer Res       Date:  2008-03-01       Impact factor: 12.701

6.  microRNA profiling in Epstein-Barr virus-associated B-cell lymphoma.

Authors:  Jochen Imig; Natalie Motsch; Jia Yun Zhu; Stephanie Barth; Michal Okoniewski; Tanja Reineke; Marianne Tinguely; Alberto Faggioni; Pankaj Trivedi; Gunter Meister; Christoph Renner; Friedrich A Grässer
Journal:  Nucleic Acids Res       Date:  2010-11-09       Impact factor: 16.971

7.  The viral and cellular microRNA targetome in lymphoblastoid cell lines.

Authors:  Rebecca L Skalsky; David L Corcoran; Eva Gottwein; Christopher L Frank; Dong Kang; Markus Hafner; Jeffrey D Nusbaum; Regina Feederle; Henri-Jacques Delecluse; Micah A Luftig; Thomas Tuschl; Uwe Ohler; Bryan R Cullen
Journal:  PLoS Pathog       Date:  2012-01-26       Impact factor: 6.823

8.  Epstein-Barr Virus (EBV)-BamHI-A Rightward Transcript (BART)-6 and Cellular MicroRNA-142 Synergistically Compromise Immune Defense of Host Cells in EBV-Positive Burkitt Lymphoma.

Authors:  Ling Zhou; Yunwen Bu; Yanyan Liang; Fang Zhang; Haiguo Zhang; Shumei Li
Journal:  Med Sci Monit       Date:  2016-10-31

Review 9.  BART miRNAs: an unimaginable force in the development of nasopharyngeal carcinoma.

Authors:  Youhong Wang; Zhen Guo; Yan Shu; Honghao Zhou; Hui Wang; Wei Zhang
Journal:  Eur J Cancer Prev       Date:  2017-03       Impact factor: 2.497

10.  EBV miR-BART10-3p Promotes Cell Proliferation and Migration by Targeting DKK1.

Authors:  Kyoungmi Min; Suk Kyeong Lee
Journal:  Int J Biol Sci       Date:  2019-01-24       Impact factor: 6.580

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Authors:  Ziyu Wu; Yue Zeng; Anchun Cheng; Anyang Sun; Mingshu Wang; Shun Chen; Mafeng Liu; Dekang Zhu; Xinxin Zhao; Ying Wu; Qiao Yang; Shaqiu Zhang; Juan Huang; Xumin Ou; Qun Gao; Sai Mao; Di Sun; Bin Tian; Ling Zhang; Zhongqiong Yin; Renyong Jia
Journal:  BMC Genomics       Date:  2022-07-14       Impact factor: 4.547

2.  Eukaryotic initiating factor eIF4E is targeted by EBV-encoded miR-BART11-3p and regulates cell cycle and apoptosis in EBV-associated gastric carcinoma.

Authors:  Hanqing Wang; Juanjuan Liu; Yan Zhang; Lingling Sun; Menghe Zhao; Bing Luo
Journal:  Virus Genes       Date:  2021-06-19       Impact factor: 2.332

3.  Epstein-Barr Virus BGLF2 commandeers RISC to interfere with cellular miRNA function.

Authors:  Ashley M Campbell; Carlos F De La Cruz-Herrera; Edyta Marcon; Jack Greenblatt; Lori Frappier
Journal:  PLoS Pathog       Date:  2022-01-10       Impact factor: 6.823

Review 4.  Circulating microRNAs as the Potential Diagnostic and Prognostic Biomarkers for Nasopharyngeal Carcinoma.

Authors:  Thuy Ai Huyen Le; Thuan Duc Lao
Journal:  Genes (Basel)       Date:  2022-06-27       Impact factor: 4.141

5.  Immune pathway upregulation and lower genomic instability distinguish EBV-positive nodal T/NK-cell lymphoma from ENKTL and PTCL-NOS.

Authors:  Cho Mar Myint Wai; Shangying Chen; The Phyu; Shuangyi Fan; Sai Mun Leong; Wenning Zheng; Louis Ching Yi Low; Shoa-Nian Choo; Chi-Kuen Lee; Tae-Hoon Chung; Kenneth Hon Kim Ban; Soumita Ghosh; Stefanus Lie; Seiichi Kato; Shigeo Nakamura; Emiko Takahashi; Young-Hyeh Ko; Joseph D Khoury; Shih-Sung Chuang; Rex K H Au-Yeung; Soo-Yong Tan; Soon-Thye Lim; Choon-Kiat Ong; Yong-Howe Ho; Li Mei Poon; Sanjay De Mel; Anand D Jeyasekharan; Wee-Joo Chng; Franziska Otto; Leticia Quintanilla-Martinez; Federica Zanardi; Fabio Iannelli; Claudio Tripodo; Jason J Pitt; Siok-Bian Ng
Journal:  Haematologica       Date:  2022-08-01       Impact factor: 11.047

6.  Characterizing Expression and Regulation of Gamma-Herpesviral Circular RNAs.

Authors:  Takanobu Tagawa; Daniel Oh; Jerico Santos; Sarah Dremel; Guruswamy Mahesh; Thomas S Uldrick; Robert Yarchoan; Vishal N Kopardé; Joseph M Ziegelbauer
Journal:  Front Microbiol       Date:  2021-06-30       Impact factor: 5.640

Review 7.  The Role of Noncoding RNAs in B-Cell Lymphoma.

Authors:  Jingwen Li; Jing Zou; Xiaoyue Wan; Chunyan Sun; Fei Peng; Zhangbo Chu; Yu Hu
Journal:  Front Oncol       Date:  2020-10-23       Impact factor: 6.244

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