Literature DB >> 28122341

High level of viral microRNA-BART20-5p expression is associated with worse survival of patients with Epstein-Barr virus-associated gastric cancer.

Byung Woog Kang1, YongHun Choi2,3, Oh Kyoung Kwon4, Seung Soo Lee4, Ho Young Chung4, Wansik Yu4, Han Ik Bae5, An Na Seo5, Hyojeung Kang6, Suk Kyeong Lee7, Seong Woo Jeon8, Keun Hur2,3, Jong Gwang Kim1.   

Abstract

This study analyzed the relationship between several Epstein-Barr virus (EBV) microRNA (miRNA) expression profiles and the clinicopathologic features of patients with EBV-associated gastric cancer. The miRNA expression was examined in 59 tumor and 39 paired normal mucosal tissues from available formalin-fixed paraffin embedded tissue samples. The expression levels of miR-BamHI fragment A rightward transcript (BART)1-5p, miR-BART4-5p, and miR-BART20-5p were determined using a quantitative real-time polymerase chain reaction. The expression of all three analyzed EBV microRNAs was significantly higher in the tumor tissue than in the paired normal tissue (P < 0.001 for each). When the median value of the EBV microRNA expression levels was used as the cutoff point, a high BART20-5p expression was associated with worse recurrence-free survival (P = 0.034) in a multivariate analysis including age and pathologic stage. In conclusion, the expression level of BART20-5p may predict recurrence-free survival for patients with EBV-associated gastric cancer. Further studies are warranted to clarify the roles of EBV BART microRNAs in the carcinogenesis, and their potential as a biomarker and therapeutic target for EBV-associated gastric cancer.

Entities:  

Keywords:  BART; Epstein-Barr virus; gastric cancer; microRNA; prognosis

Mesh:

Substances:

Year:  2017        PMID: 28122341      PMCID: PMC5362460          DOI: 10.18632/oncotarget.14744

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

Based on a comprehensive molecular characterization of gastric cancer, Epstein-Barr virus (EBV)-associated gastric cancer (EBVaGC) has been identified as one of four gastric cancer subtypes and includes the following distinct characteristics: CDKN2A promoter hypermethylation, recurrent PIK3CA mutations, PD-L1/2 overexpression, and sometimes immune cell signaling activation [1]. These differentiated features are associated with the expression of many viral gene products by EBV infection [2]. EBVaGC belongs to latency type I where the viral genes EBV nuclear antigen 1 (EBNA1), EBV-encoded small RNA (EBER1/2), BamHI-A right-ward transcripts (BARTs), and latent membrane protein 2A (LMP2A) may be expressed [3]. In particular, EBV-encoded microRNAs (miRNAs) target viral genes to mediate immune evasion or maintenance of latency, and incorporate into RNA-induced silencing complex can also interact with specific host genes directly or indirectly [4]. MiRNAs are a class of short, single-strand noncoding RNAs that regulate gene expression by translational repression or mRNA degradation of the target [5, 6]. EBV miRNAs can be subdivided into two groups, BART miRNAs and Bam HI fragment H rightward open reading frame 1 (BHRF1) miRNAs, based on their locations [4]. To date, 22 pre-miRNAs and 40 matures miRNAs have been identified originating from the BamHI-A region [7]. Previous reports have shown high-level expression of EBV BART miRNAs in EBV-associated epithelial cancers, thereby inhibiting the expression of different genes [8-11]. For instance, miR-BART4-5p suppressed proapoptotic protein Bid (BH3-interacting domain death agonist) expression, leading to reduced apoptosis [12]. Recent study also found that miR-BART20-5p reduced BAD (Bcl-2-associated death promoter) expression and inhibition of BAD by using a miR-BART20-5p mimic promoted cell proliferation [13, 14]. Kanda et al. reported a relationship between BART miRNA expression and epithelial carcinogenesis in vivo. In particular, it was shown that N-myc downstream regulated gene 1 (NDRG1) protein, which is a putative target of BART miRNAs, can be used as an epithelial differentiation marker and a suppressor of metastasis [15]. However, the clinical outcomes of most BART miRNAs remain unclear in patients with EBVaGC. Since viral miRNAs may be useful as biomarkers for EBVaGC, this study analyzed the relationship between several EBV miRNA expressions and the clinicopathologic features of patients with EBVaGC.

RESULTS

Patient characteristics

The baseline characteristics of the patients are described in Table 1. The median age was 64 years (range, 40–78) and 79.7% (47/59) were male. The majority of the tumors (57.6%) were located in the body of the stomach, and the pathologic TNM stage was I, II, and III in 20 (33.9%), 21 (35.6%), and 18 (30.5%) patients, respectively. Twenty-two patients were classified as gastric carcinoma with lymphoid stroma (GCLS). The median value of the EBV miRNA expression levels was used as the cutoff point. Among the 59 patients, 29 and 28 were determined as the BART1-5p-high and BART20-5p-high expression group, respectively. Plus, 20 out of 39 cases were BART4-5p-high expression.
Table 1

Baseline patient characteristics of tumor tissues

CharacteristicTotal (N = 59)N (%)
Age, years
 Median (Range)65.0 (40.0–78.0)
Gender
 Male47 (79.7)
 Female12 (20.3)
Tumor location
 Gastroesophageal junction, cardia and fundus6 (10.2)
 Body34 (57.6)
 Antrum6 (10.2)
 Others13 (22.0)
Treatment
 Surgical resection59 (100.0)
Tumor depth (pathologic T category)
 T116 (27.1)
 T27 (11.9)
 T318 (30.5)
 T418 (30.5)
Lymph node metastasis (pathologic N category)
 N031 (52.5)
 N110 (16.9)
 N27 (11.9)
 N311 (18.6)
pTNM stage
 I20 (33.9)
 II21 (35.6)
 III18 (30.5)
Lauren classification
 Intestinal7 (11.9)
 Diffuse47 (79.7)
 Mixed5 (8.5)
WHO classification
 Gastric carcinoma with lymphoid stroma (GCLS)22 (37.3)
 Non-GCLS37 (62.7)

pTNM, pathologic tumor-node-metastasis.

pTNM, pathologic tumor-node-metastasis.

BART miRNA expression in tumor tissues and association with pathologic features

Figure 1 shows the EBV BARTs miRNA expression in the stomach tumor tissue and paired normal tissue, where miRNA expression of BART1-5p, BART4-5p, and BART20-5p was readily detected in all the EBVaGC cases. Plus, as expected, the expression of these EBV BART miRNAs was significantly higher in the tumor tissues than in the paired normal tissues (P < 0.001 for each). The relationship between the BART miRNA expression and the clinicopathologic features was also analyzed (Table 2). As a result, the clinicopathologic features were similar between the two groups according to the expression of BARTs miRNA.
Figure 1

Comparison of expression levels of BART miRNAs between tumor tissue and paired normal tissue (P < 0.001 for each)

Table 2

Association between clinicopathologic features and BART miRNAs expression

miR-BART1-5p (N = 58)miR-BART4-5p (N = 39)miR-BART20-5p (N = 57)
LowHighPLowHighPLowHighP
Gender0.7470.4510.735
 Male22 (75.9)24 (82.8)14 (73.7)17 (85.0)30 (78.9)16 (84.2)
 Female7 (24.1)5 (17.2)5 (26.3)3 (15.0)8 (21.1)3 (15.8)
Age0.0580.8820.336
 < 647 (24.1)15 (51.7)9 (47.4)9 (45.0)13 (34.2)9 (84.2)
 ≥ 6422 (75.9)14 (48.3)10 (52.6)11 (55.0)25 (65.8)10 (15.8)
T stage0.7880.2650.159
 T1/212 (41.4)11 (37.9)9 (47.4)6 (30.0)18 (47.4)5 (26.3)
 T3/417 (58.6)18 (62.1)10 (52.6)14 (70.0)20 (52.6)14 (73.7)
LN metastasis0.2930.4290.260
 No17 (58.6)13 (44.8)10 (52.6)8 (40.0)22 (57.9)7 (42.1)
 Yes12 (41.4)16 (55.2)9 (47.4)12 (60.0)16 (42.1)11 (57.9)
WHO classification0.5880.6510.847
 GCLS12 (41.4)10 (34.5)7 (36.8)6 (30.0)15 (39.5)7 (36.8)
 Non-GCLS17 (58.6)19 (65.5)12 (63.2)14 (70.0)23 (60.5)12 (63.2)
Lauren classification0.4560.3010.430
 Intestinal5 (17.2)2 (6.9)1 (5.3)2 (10.0)6 (15.8)1 (5.3)
 Diffuse22 (75.9)24 (82.8)14 (73.7)17 (85.0)30 (78.9)16 (84.2)
 Mixed2 (6.9)3 (10.3)4 (21.1)1 (5.0)2 (5.3)2 (10.5)

LN, lymph node metastasis; GCLC, Gastric carcinoma with lymphoid stroma.

LN, lymph node metastasis; GCLC, Gastric carcinoma with lymphoid stroma.

Effect of BART miRNA expression on survival

With a median follow-up duration of 24.1 months (2.8–48.0), the estimated 3-year recurrence-free survival (RFS) and overall survival (OS) rates for all 59 patients were 76.4% and 78.7%, respectively. In a multivariate analysis adjusted for age and stage, a high expression of miR-BART20-5p showed a statistically significant correlation with shorter RFS (P = 0.034, HR = 6.951, 95% CI = 1.158–41.737)(Figure 2 and Table 3). Meanwhile, miR-BART1-5p and miR-BART4-5p expression was not found to be associated with RFS in the survival analysis (Figure 2).
Figure 2

Kaplan-Meier survival curves for recurrence-free survival according to (A) expression levels of miR-BART1-5p, (B) miR-BART4-5p, (C) miR-BART20-5p, and (D) pathologic stage.

Table 3

Survival analysis for recurrence-free survival

VariablesCategoryRecurrence-free survival in all patients
Univariate analysisMultivariate analysis
PPHR95% CI
Age, years< 64 vs ≥ 640.6660.0975.2090.743–36.514
pTNM StageI & II vs. III0.0300.0506.6300.999–44.012
miR-BART20-5pHigh vs. low0.0160.0346.9511.158–41.737

pTNM, pathologic tumor-node-metastasis.

Kaplan-Meier survival curves for recurrence-free survival according to (A) expression levels of miR-BART1-5p, (B) miR-BART4-5p, (C) miR-BART20-5p, and (D) pathologic stage. pTNM, pathologic tumor-node-metastasis.

DISCUSSION

The prognostic impact of BART miRNAs was investigated in EBVaGC patients who had been curatively resected. As a result, the current study demonstrated that a high-level expression of miR-BART20-5p was associated with poor survival for the EBVaGC patients. This study also seem to be noteworthy that EBV BART miRNAs were readily detectable in EBVaGC tumor tissues in contrast to the paired normal tissues. To date, > 40 mature EBV BART miRNAs have been identified and these miRNAs are derived from BART introns prior to splicing [15, 16]. Although the functions of most BART miRNAs remain unknown, BART miRNAs are expressed at high levels in EBV-associated epithelial malignancies, including EBVaGC. Consistent with these results, the current study also found readily detectable levels of BART miRNA expression in the EBVaGC tissues, suggesting that BART miRNAs may contribute to epithelial tumorigenesis. Several studies have already investigated the functional effect of various BART miRNAs on target genes. Choi et al. reported that miR-BART15 is preferentially secreted from EBV-infected gastric carcinoma cells via exosome and can increase cell apoptosis [17]. Plus, other studies found that miR-BART5-5p targets a p53-upregulated modulator of apoptosis to promote cell survival [18], while a translocase of the outer mitochondrial membrane 22 homolog is a potential target of miR-BART16 [19]. More recently, Shinozaki-Ushiku et al. reported that reduction of apoptosis in clinical samples from EBVaGC patients was attributable to the expression of miR-BART4-5p which suppress proapoptotic protein Bid [12]. These results suggest that BART miRNAs may be involved in activation of several key cancer-related proteins. In the present study, the patients with low miR-BART20-5p expression showed a better RFS compared to the patients with high miR-BART20-5p expression, which is consistent with our previous report, where miR-BART20-5p reduced BAD expression in EBV-infected gastric cancer cells by directly targeting the 3′-untranslated region of BAD [13]. miR-BART20-5p also suppressed lytic induction both directly [20] and indirectly by inhibiting BAD-mediated caspase-3-dependent apoptosis [1, 14]. Thus, given the function of miR-BART20-5p, the present results, which showed an inverse relationship between survival and the expression level of this viral miRNA, suggest that miR-BART20-5p may act as a therapeutic target in EBVaGC. Nonetheless, despite the higher expression of miR-BART1-5p and miR-BART4-5p, their prognostic significance was not clearly elucidated. Thus, the carcinogenic roles of EBV miRNAs need to be further identified in order to determine their prognostic relevance. According to a recent miRNA profiling study, the oncogenetic value of BART1-5p was investigated using nasopharyngeal cancer and lymphoblastoid cell lines. As a result, miRNA-BART1-5p was found to suppress the target gene in EBV and also repressed the host cellular protein [10, 13]. Plus, the inhibition of BART4-5p expression has been associated with partial recovery of the apoptotic activator molecule in EBVaGC [15]. It can be speculated that alterations of BART miRNAs may be involved in different mechanisms in various cancer types. In conclusion, miR-BART1-5p, miR-BART4-5p, and miR-BART20-5p were readily detectable in EBVaGC tissues, and the expression level of BART20-5p may predict RFS for patients with EBVaGC. Further studies are warranted to clarify the roles of EBV BART miRNAs in the carcinogenesis of EBVaGC and their potential as a therapeutic target.

MATERIALS AND METHODS

Patients

All the tissue samples used in this study were obtained from patients included in a previous study of EBVaGC, the inclusion criteria and results for which have already been reported [21]. In brief, the study included patients with histologically confirmed adenocarcinoma of the stomach who underwent surgical resection or endoscopic mucosal dissection at Kyungpook National University Medical Center (KNUMC) between January 2011 and November 2014. After reviewing 1318 consecutive cases, 120 patients were identified as EBV-positive using EBV-encoded RNA in situ hybridization. Among these 120 patients, miRNA expression was examined in 59 tumor and 39 paired normal mucosal tissues from available formalin-fixed paraffin embedded (FFPE) tissue samples. The baseline characteristics, including age, gender, TNM stage according to the American Joint Committee on Cancer (AJCC) staging 7th edition, and tumor histologic differentiation were collected from the patients’ medical records and surgical pathologic reports. This study was approved by the institutional review board at KNUMC and informed consent was obtained from all the patients included in this study.

miRNA expression analyses

The total RNA (including miRNA) was extracted from Formalin-fixed, paraffin-embedded (FFPE) specimens using a Recover All™ Total Nucleic Acid Isolation Kit (Ambion by Life Technologies™, Carlsbad, CA) according to the manufacturer's instructions. The quantity and quality of the isolated total RNA were measured using a NanoDrop™ spectrophotometer. The expression of miR-BART1-5p, miR-BART4-5p, and miR-BART20-5p was analyzed using TaqMan miRNA assays (Applied Biosystems, Foster City, CA), while U6 expression was used as an endogenous control for data normalization. In brief, 10 ng of total RNA was reverse transcribed and complementary DNA used for a real-time RT-PCR, where each PCR reaction was performed in triplicate. The difference between the groups is presented as ΔCt, which indicates the difference between the Ct value for the miRNA of interest and the Ct value for the normalizer miRNA. The real-time PCR analyses were performed using a QuantStudio 6 Flex Real-Time PCR System (Applied Biosystems). The median expression level of each miR-BART miRNA was used as the cutoff point, and all cases were subdivided into BART miRNA-high and BART miRNA-low based on the cutoff point.

Statistical analyses

The descriptive statistics are reported as proportions and medians. The categorical variables were evaluated using a χ2 test, Fisher's exact test, or McNemar test, as appropriate. RFS was defined as the time between diagnosis to tumor recurrence or death from any cause. OS was calculated from the date of diagnosis to death from any cause. Data were censored if patients were free of recurrence or alive at the last follow-up. The Kaplan-Meier method was used to estimate the RFS and OS. The survival curves were compared using a log rank test according to the miRNA expression differences. Multivariate survival analyses were carried out using the Cox proportional hazard regression model. A p value < 0.05 was considered statistically significant. The statistical analyses were performed using SPSS for Windows (version 19.0, SPSS Inc., Chicago, Ill., USA).
  20 in total

1.  EBV and human microRNAs co-target oncogenic and apoptotic viral and human genes during latency.

Authors:  Kasandra J Riley; Gabrielle S Rabinowitz; Therese A Yario; Joseph M Luna; Robert B Darnell; Joan A Steitz
Journal:  EMBO J       Date:  2012-03-30       Impact factor: 11.598

2.  Epstein-Barr virus miR-BART20-5p regulates cell proliferation and apoptosis by targeting BAD.

Authors:  Hyoji Kim; Hoyun Choi; Suk Kyeong Lee
Journal:  Cancer Lett       Date:  2014-10-24       Impact factor: 8.679

3.  MicroRNA miR-BART20-5p stabilizes Epstein-Barr virus latency by directly targeting BZLF1 and BRLF1.

Authors:  Yu-Jin Jung; Hoyun Choi; Hyoji Kim; Suk Kyeong Lee
Journal:  J Virol       Date:  2014-06-04       Impact factor: 5.103

4.  Epstein-Barr virus-encoded microRNA BART15-3p promotes cell apoptosis partially by targeting BRUCE.

Authors:  Hoyun Choi; Hanna Lee; Sae Rom Kim; Yong Song Gho; Suk Kyeong Lee
Journal:  J Virol       Date:  2013-05-15       Impact factor: 5.103

Review 5.  Epigenetic dysregulation in Epstein-Barr virus-associated gastric carcinoma: disease and treatments.

Authors:  Tung On Yau; Ceen-Ming Tang; Jun Yu
Journal:  World J Gastroenterol       Date:  2014-06-07       Impact factor: 5.742

6.  Prognostic value of tumor-infiltrating lymphocytes in Epstein-Barr virus-associated gastric cancer.

Authors:  B W Kang; A N Seo; S Yoon; H I Bae; S W Jeon; O K Kwon; H Y Chung; W Yu; H Kang; J G Kim
Journal:  Ann Oncol       Date:  2015-12-16       Impact factor: 32.976

7.  Epstein-Barr Virus MicroRNA miR-BART20-5p Suppresses Lytic Induction by Inhibiting BAD-Mediated caspase-3-Dependent Apoptosis.

Authors:  Hyoji Kim; Hoyun Choi; Suk Kyeong Lee
Journal:  J Virol       Date:  2015-11-18       Impact factor: 5.103

8.  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

9.  Epstein-Barr virus microRNAs are evolutionarily conserved and differentially expressed.

Authors:  Xuezhong Cai; Alexandra Schäfer; Shihua Lu; John P Bilello; Ronald C Desrosiers; Rachel Edwards; Nancy Raab-Traub; Bryan R Cullen
Journal:  PLoS Pathog       Date:  2006-03-24       Impact factor: 6.823

Review 10.  Role of Viral miRNAs and Epigenetic Modifications in Epstein-Barr Virus-Associated Gastric Carcinogenesis.

Authors:  Aldo Giudice; Giovanni D'Arena; Anna Crispo; Mario Felice Tecce; Flavia Nocerino; Maria Grimaldi; Emanuela Rotondo; Anna Maria D'Ursi; Mario Scrima; Massimiliano Galdiero; Gennaro Ciliberto; Mario Capunzo; Gianluigi Franci; Antonio Barbieri; Sabrina Bimonte; Maurizio Montella
Journal:  Oxid Med Cell Longev       Date:  2016-02-10       Impact factor: 6.543

View more
  16 in total

Review 1.  Immunomodulatory roles of human herpesvirus-encoded microRNA in host-virus interaction.

Authors:  Afsar R Naqvi
Journal:  Rev Med Virol       Date:  2019-08-20       Impact factor: 6.989

2.  MiR-484 suppressed proliferation, migration, invasion and induced apoptosis of gastric cancer via targeting CCL-18.

Authors:  Jin Liu; Shi Meng Li
Journal:  Int J Exp Pathol       Date:  2020-09-28       Impact factor: 1.925

3.  Extracellular Vesicles in Epstein-Barr Virus Pathogenesis.

Authors:  Allaura S Cone; Sara B York; David G Meckes
Journal:  Curr Clin Microbiol Rep       Date:  2019-07-03

Review 4.  Role of microRNAs and Exosomes in Helicobacter pylori and Epstein-Barr Virus Associated Gastric Cancers.

Authors:  Iva Polakovicova; Sofia Jerez; Ignacio A Wichmann; Alejandra Sandoval-Bórquez; Nicolás Carrasco-Véliz; Alejandro H Corvalán
Journal:  Front Microbiol       Date:  2018-04-05       Impact factor: 5.640

Review 5.  Epstein-Barr virus-encoded microRNAs as regulators in host immune responses.

Authors:  Man Wang; Fei Yu; Wei Wu; Yu Wang; Han Ding; Lili Qian
Journal:  Int J Biol Sci       Date:  2018-04-05       Impact factor: 6.580

Review 6.  The Role of miRNAs in Virus-Mediated Oncogenesis.

Authors:  Zuzana Vojtechova; Ruth Tachezy
Journal:  Int J Mol Sci       Date:  2018-04-17       Impact factor: 5.923

Review 7.  The Function and Therapeutic Potential of Epstein-Barr Virus-Encoded MicroRNAs in Cancer.

Authors:  Man Wang; Bianli Gu; Xinzhe Chen; Yefu Wang; Peifeng Li; Kun Wang
Journal:  Mol Ther Nucleic Acids       Date:  2019-07-15       Impact factor: 8.886

Review 8.  An update: Epstein-Barr virus and immune evasion via microRNA regulation.

Authors:  Lielian Zuo; Wenxin Yue; Shujuan Du; Shuyu Xin; Jing Zhang; Lingzhi Liu; Guiyuan Li; Jianhong Lu
Journal:  Virol Sin       Date:  2017-06-26       Impact factor: 4.327

Review 9.  The oncogenic role of Epstein-Barr virus-encoded microRNAs in Epstein-Barr virus-associated gastric carcinoma.

Authors:  Jinglin Zhang; Tingting Huang; Yuhang Zhou; Alfred S L Cheng; Jun Yu; Ka Fai To; Wei Kang
Journal:  J Cell Mol Med       Date:  2017-10-09       Impact factor: 5.310

Review 10.  Pathobiologic Roles of Epstein-Barr Virus-Encoded MicroRNAs in Human Lymphomas.

Authors:  Mohsen Navari; Maryam Etebari; Mostafa Ibrahimi; Lorenzo Leoncini; Pier Paolo Piccaluga
Journal:  Int J Mol Sci       Date:  2018-04-12       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.