Background:

Epstein–Barr virus (EBV)-positive gastric cancers have clinicopathologic differences from EBV-negative tumors and lack TP53 mutation. Serologic profiles may inform viral contribution to carcinogenesis.

Methods:

We compared humoral responses of EBV-positive (n = 67) and EBV-negative (n = 137) patients with gastric cancer from the International EBV-Gastric Cancer Consortium. Serum antibodies against four EBV proteins, nuclear (EBNA), viral capsid (VCA), early-diffuse (EA-D), and Zta replication activator (ZEBRA), and to p53 were assessed by multiplex assays. OR of antibody level tertiles (T1–T3) were adjusted by logistic regression. We also conducted a meta-analysis of reported anti-p53 seropositivity in gastric cancer.

Results:

Consistent with EBV's ubiquity, 99% of patients were seropositive for anti-EBNA and 98% for anti-VCA, without difference by tumor EBV status. Seropositivity varied between patients with EBV-positive and EBV-negative tumors for anti-EA-D (97% vs. 67%, respectively, P < 0.001) and anti-ZEBRA (97% vs. 85%, respectively, P = 0.009). Adjusted ORs (vs. T1) for patients with EBV-positive versus EBV-negative tumors were significantly elevated for higher antibodies against EBNA (2.6 for T2 and 13 for T3), VCA (1.8 for T2 and 2.4 for T3), EA-D (6.0 for T2 and 44 for T3), and ZEBRA (4.6 for T2 and 12 for T3). Antibodies to p53 were inversely associated with EBV positivity (3% vs. 15%; adjusted OR = 0.16, P = 0.021). Anti-p53 prevalence from the literature was 15%.

Conclusions:

These serologic patterns suggest viral reactivation in EBV-positive cancers and identify variation of p53 seropositivity by subtype.

Impact:

Anti-EBV and anti-p53 antibodies are differentially associated with tumor EBV positivity. Serology may identify EBV-positive gastric cancer for targeted therapies.

Chronic Helicobacter pylori infection is the primary cause of gastric cancer (1), the third leading cause of cancer death worldwide (2). Epstein–Barr virus (EBV) is also implicated in gastric carcinogenesis, as about 9% of gastric tumors harbor monoclonal viral episomes (3). EBV-positive gastric tumors have demographic and clinicopathologic differences from EBV-negative tumors. Tumor EBV positivity is increased with male sex, smoking, nonantral localization, and post-gastrectomy (3, 4). In addition, patients with EBV-positive gastric tumors have better overall survival as compared with those with EBV-negative tumors (5). The Cancer Genome Atlas project (6) identified EBV-positive tumors as one of four molecular subtypes of gastric cancer. EBV-positive tumors are characterized by recurrent PIK3CA mutation, absence of TP53 mutation, JAK2 amplification, and extreme DNA hypermethylation. EBV-positive gastric cancer is classically considered to exhibit type I viral latency with EBV protein expression largely restricted to EBNA-1. However, several lytic proteins and transcripts have been also found (BZLF1, BcLF1, BLLF1, BHRF1, BRLF1, BMRF1) in EBV-positive tumors (7).

EBV infection occurs ubiquitously in the world's population. Primary infection is followed by lifelong persistence of proviral DNA in B-lymphocytes, recognized by a restricted humoral response (8). EBV infection may reactivate from latency by switching to the lytic replication cycle. Circulating viral particles trigger immunologic response, generating additional anti-EBV antibodies. Following primary infection, antibodies to viral capsid antigen (VCA) are produced within a few days and peak after 3 weeks, then subsequently decline but persist for life. Antibodies to EBV nuclear antigen (EBNA) are not seen during acute infection, but develop 2 to 4 months afterwards and persist as markers of exposure. Antibody titers against early antigen (EA) rise on primary infection and in pathologic states of EBV reactivation (8). EA consists of two components, diffuse (D) and restricted (R). Antibodies to EA-D show a transient rise during the acute phase and are generally undetectable 6 months later. Antibodies to EA-R follow the disappearance of anti-EA-D and are detectable for up to 2 years (9). ZEBRA (BamH1 Z encoded replication activator) expression coincides with the switch of EBV from the latent to lytic cycle (10). Therefore, elevated levels of anti-ZEBRA antibodies may serve as an indicator of recent EBV reactivation.

EBV reactivation from latency is a postulated mechanism for viral presentation to epithelial cells, triggering cellular replication and potential for transformation in EBV-positive malignancies (11). A deeper understanding of the humoral response to chronic EBV infection may shed light on the biological mechanisms for development of EBV-positive gastric cancer. We therefore examined the association of serum EBV antibody levels with tumor EBV status using samples from the U.S. NCI's International EBV-Gastric Cancer Consortium (5). Given that EBV-positive tumors rarely carry mutation of TP53, we also evaluated the association between p53 antibodies and tumor EBV positivity. Finally, we conducted a meta-analysis of published studies assessing the prevalence of anti-p53 antibodies in patients with gastric cancer.

NCI International EBV-Gastric Cancer Consortium analysis

Study population

Five gastric cancer case series from Korea (n = 63), Japan (n = 28), Poland (n = 41), Mexico (n = 27), and Honduras (n = 45) in the U.S. NCI's International EBV-Gastric Cancer Consortium were included in this analysis. For each series, serum samples from all available EBV-positive cases and a subset of EBV-negative cases were selected, frequency matched for sex, age at diagnosis (±5 years), anatomic subsite, and year of diagnosis (±2 years). This study comprises a total of 67 EBV-positive and 137 EBV-negative tumors. Each contributing study received local institutional review board approval, and written informed consent was obtained from all patients.

Tumor EBV status

For all cases, the presence of EBV in cancer cells had been previously assessed by gold standard in situ hybridization for EBV-encoded RNA and an RNA preservation control in paraffin-embedded tissue, as described previously (4, 12, 13).

Antibody measurements

The EBV antigens selected for analysis are representative of the different infection phases (i.e., primary infection, latency, and reactivation). IgG antibodies to a fragment of EBNA1 (C-terminal part AA 325-641, EBV strain B-95-8), VCA p18, full-length EA-diffuse (EA-D), ZEBRA (EBV strain M-ABA; ref. 14), and p53 (full-length, native; ref. 15) were measured by fluorescent bead-based multiplex serology and quantified as median fluorescence intensity (MFI). Briefly, full-length proteins or peptides were expressed in Escherichia coli in fusion with an N-terminal GST domain. Glutathione cross-linked to casein was covalently bound to fluorescence-labeled polystyrene beads (SeroMap; Luminex), and GST-fusion proteins were affinity-purified on the beads directly. Bead types each carrying a different antigen were mixed and incubated with pretreatment sera at 1:10,000 dilutions. Antibody bound to the beads via the antigens was stained by biotinylated anti-human-Ig and streptavidin-R-phycoerythrin. Beads were examined in a Luminex 100 analyzer (Luminex) that identifies the different bead types by their internal color and quantifies the antibody bound to the antigen on the different bead types via the median R-phycoerythrin fluorescence intensity of at least 100 beads of each bead type. The cutoff MFI values for seropositivity were 100 MFI for EBNA-1 and 15 for ZEBRA, EA-D, VCAp18, and p53. Serum samples were tested in one batch, using the same lot of custom reagents. Laboratory staff was blinded to tumor EBV status. In addition to the in-house controls, we inserted six-coded replicates across plates. The coefficients of variation for these quality control samples were 7% for EBNA-1, 6% for EA-D, 7% for VCAp18, and 18% for ZEBRA. All six replicate pairs were reproducibly seronegative for anti-p53.

Statistical analysis

Correlations among antibody levels were evaluated by Spearman's rank correlation. Antibody positivity in patients with EBV-positive and EBV-negative gastric tumors was compared using the Pearson χ2 test. EBV antibody levels were also divided into tertiles based on distributions among all patients. Unconditional logistic regression models were used to estimate ORs with 95% confidence intervals (CI) of EBV-positive versus EBV-negative gastric cancer for seropositivity to each protein. ORs were adjusted for country, year of diagnosis (tertiles), age at diagnosis (linear), sex, and anatomic subsite (cardia, noncardia, overlapping subsites, or unspecified). A P value less than 0.05 was considered statistically significant and all tests were two-sided. Statistical analyses were performed in Stata version 15 (Stata Corp.).

Meta-analysis

Search strategy and selection criteria

The literature database PubMed (National Library of Medicine) was searched for observational studies evaluating prevalence of anti-p53 antibodies in patients with gastric cancer, published in any language up to April 30, 2019. The following broad search strategy was used: [stomach neoplasms and (p53 or anti-p53) and (antibodies or autoantibodies)].

Data extraction

Two investigators (MCC and MS) independently reviewed titles and abstracts for selection of potentially relevant articles; any disagreement was resolved by consulting a third reviewer (JZ). Citations of retrieved articles were reviewed for studies that may have been missed or absent from the database query. The following information was abstracted from each selected article: first author, year of publication, study location (country), year of sample collection, participant age (range or mean) and sex (proportion of males), number of gastric cancer cases, prevalence of anti-p53, and method of antibody assessment.

Statistical analysis

We used random effects models (16) to summarize prevalences of anti-p53 antibodies. Between-study heterogeneity was assessed for statistical significance using the Q test and quantified with the I2 statistic as low (<25%), moderate (25%–50%), or high (>50%; ref. 17). Meta-analyses were performed with Stata version 15 (StataCorp) using the macro metaprop (18). A P value less than 0.05 was considered statistically significant and tests were two-sided.

NCI International EBV-Gastric Cancer Consortium analysis

All pair-wise correlations among the four anti-EBV antibodies were statistically significant in the combined group of patients. The correlation coefficients ranged from 0.6 (anti-ZEBRA vs. anti-EA-D) to 0.3.

Ninety-nine percent of patients were seropositive for anti-EBNA and 98% for anti-VCA, without difference by tumor EBV status. Seropositivity varied between patients with EBV-positive and EBV-negative tumors for anti-EA-D (97% vs. 67%, respectively, P < 0.001) and anti-ZEBRA (97% vs. 85%, respectively, P = 0.009). In analyses based on tertiles, each viral antibody was associated with tumor EBV positivity (Fig. 1). Adjusted ORs for EBV-positive versus EBV-negative tumors were significantly elevated for patients with higher levels (vs. T1) of antibodies against EBNA (13.0 for T3), VCA (2.4 for T3), EA-D (6.1 for T2 and 44.5 for T3), and ZEBRA (4.6 for T2 and 12.4 for T3).

Figure 1.

Adjusted associations between EBV-positive gastric cancer and antibodies to EBV and p53 proteins.

Figure 1.

Adjusted associations between EBV-positive gastric cancer and antibodies to EBV and p53 proteins.

Close modal

Antibodies to p53 were detected in 11% of the gastric cancer patients overall, including 3% of those with EBV-positive vs. 15% with EBV-negative tumors (adjusted OR = 0.16, P = 0.021). Antibodies to p53 were not statistically significantly correlated with anti-EBV antibodies in the combined set (Rho coefficients ranged from 0.02 to −0.13).

Meta-analysis

The literature search identified a total of 111 reports mentioning anti-p53 antibodies in gastric cancer. After excluding 97 irrelevant publications (mainly reports of anti-p53 IHC staining), 14 full-text reports were retrieved for further evaluation; six additional publications regarding anti-p53 antibody prevalence across multiple cancer sites were identified from a previous meta-analysis (Supplementary Table S1; ref. 19). Thus, there were a total of 20 reports (19 written in English and 1 in Polish) published between 1997 and 2017 regarding the seroprevalence of anti-p53 antibodies in patients with gastric cancer (Supplementary Figure). Fifteen studies were conducted in Asian countries and five in European countries. The total sample size ranged from 25 to 501 gastric cancer cases. Two reports each presented data on two independent populations. Eighteen (90%) studies assessed IgG anti-p53 antibodies by ELISA, one study used a Luminex-based multiplex assay, and one study used immunofluorescence.

None of the studies reported separately values for patients with EBV-positive gastric cancer. Across the 22 independent series represented in the 20 reports, population-specific seroprevalences ranged from 7% to 32%. The pooled seroprevalence of anti-p53 was 15% (95% CI, 13%–18%), with high between-study heterogeneity (I2 = 61%; Fig. 2). Seroprevalence varied significantly by test method (P < 0.01), with lower seroprevalence by Luminex-based multiplex and immunoblot as compared with ELISA.

Figure 2.

Estimated prevalences and 95% CIs of anti-p53 seropositivity among patients with gastric cancer. Study-specific prevalences are shown as squares, with the size of the symbol inversely proportional to the study-specific variance. Random-effects pooled prevalences are shown as diamonds, with the middle corresponding to the point estimate and the width representing the 95% CI. Heterogeneity between groups P < 0.01. Overall I2 = 61% (P < 0.01).

Figure 2.

Estimated prevalences and 95% CIs of anti-p53 seropositivity among patients with gastric cancer. Study-specific prevalences are shown as squares, with the size of the symbol inversely proportional to the study-specific variance. Random-effects pooled prevalences are shown as diamonds, with the middle corresponding to the point estimate and the width representing the 95% CI. Heterogeneity between groups P < 0.01. Overall I2 = 61% (P < 0.01).

Close modal

This multicountry case–case comparison found higher antibody levels against EBV-specific proteins in patients with EBV-positive gastric cancer as compared with EBV-negative cases. These serologic patterns are consistent with viral reactivation in the presence of EBV-positive tumors as three (anti-VCA, anti-EA-D, and anti-ZEBRA) of the four studied antibodies target proteins expressed during lytic replication. This pattern of viral reactivation could represent lytic phase infection in either EBV-positive gastric cancer cells or in benign lymphocytes related to reduced immune function.

Our findings are in agreement with higher antibodies to VCA, EA and EBNA in EBV-positive gastric cancer as previously reported in two cross-sectional comparisons and a prospective (nested case-control) study (Supplementary Table S2; refs. 20–22). A unique feature of our study was the evaluation of anti-ZEBRA. ZEBRA is encoded by the EBV immediate early gene BZLF1, and is a key mediator of reactivation from latency to the viral productive cycle. Elevated antibodies to ZEBRA have also been detected in patients with nasopharyngeal carcinoma and acquired immune deficiency syndrome (23–25).

Antibody reactivity to EBV has been variably linked to gastric cancer overall. In a case-control study from Spain increasing antibody reactivity against EBNA-1 and VCA-p18 was associated with gastric cancer (26). On the other hand, a nested case-control study from East Asia found no association (27). Notably, these studies may be relatively insensitive since EBV-positive cases comprise less than 10% of gastric cancer overall.

Gastric carcinogenesis is usually characterized by identifiable precursor lesions, and the presence of EBV prior to cancer is uncertain (28–31). In a longitudinal study of gastric atrophy by Schetter and colleagues (32), individuals with elevated baseline VCA IgG and EBNA IgG titers had a higher likelihood of progressing to more severe gastric lesions. Additional studies of preneoplastic stages are needed to fully elucidate the role of EBV in gastric cancer development.

EBV is strongly associated with nasopharyngeal carcinoma and several studies have indicated that EBV antibody testing has diagnostic utility (33–35). High antibody levels, particularly IgA antibodies directed against EBV structural proteins, precede the development of this neoplasia (36–38). For other EBV-associated malignancies, serological results are inconsistent (39). Given the rarity of EBV-positivity in gastric cancer, it may never be justifiable to use anti-EBV antibodies for general population cancer screening. Among patients diagnosed with gastric cancer, EBV-positive tumor status may be a useful predictor of response to immunotherapy (40). Anti-viral antibody tests thus have potential value for both noninvasive clinical management and research applications in settings where gastric tissue is unavailable for EBV assessment. Additional serologic discrimination of tumor EBV status could be achieved by combination with blood tests for other viral (e.g., EBV miRNAs) or host response factors (e.g., PD-L1; ref. 41).

The EBV genome encodes 85 genes (42). Previous serologic studies of EBV-positive gastric cancer have focused on a small number of EBV proteins, limiting our understanding of the role of the humoral immune response in cancer development. Taking advantage of emerging technologies (43), future research efforts should investigate wider ranges of viral epitopes, antibody functional types, and immunoglobulin classes and subclasses. Longitudinal studies should also evaluate whether changes in EBV serology patterns over time are predictive of EBV-positive gastric cancer risk. Elevation of specific antibodies years before cancer onset may support a viral role in carcinogenesis, whereas altered antibody patterns close to the time of diagnosis could reflect impaired immunity in individuals with EBV-positive gastric cancer (i.e., reverse causality).

Although rare in EBV-positive gastric cancer, mutation of the p53 tumor suppressor gene is found in about half of gastric carcinomas overall (6, 44). The protein product of a mutated p53 gene generally has a longer half-life than wild-type p53 protein (45), leading to accumulation of mutant protein and production of anti-p53 antibodies. The lower prevalence of anti-p53 in our patients with EBV-positive gastric cancer is consistent with the expected rarity of the corresponding mutation (6). Because p53 inhibition is a central carcinogenic pathway, EBV-positive gastric cancer may have an alternative mechanism to abrogate p53 activity. One possible mediator is EBV-miR-BART5-3p, which facilitates degradation of p53 proteins and also targets the 3′-UTR of TP53 to consequently downregulate CDKN1A, BAX, and FAS expression. The clinical implication of anti-p53 antibodies in patients with gastric cancer is largely unknown, although seropositivity has been associated with poor survival in some studies. Hot spot mutations in TP53 have been associated with worse survival (46) and tumor EBV-positivity with better survival (5). These findings are similar to the case of human papillomavirus-related head and neck carcinoma, in which viral presence is associated with both low prevalence of TP53 mutation and better survival (47).

In conclusion, patients with EBV-positive gastric tumors have elevated antibodies to EBV. Our results further implicate EBV in gastric carcinogenesis, potentially as an alternative pathway to p53 inhibition, and may provide a useful diagnostic marker for clinical and research applications.

No potential conflicts of interest were disclosed.

Conception and design: M.C. Camargo, C.S. Rabkin

Development of methodology: T. Waterboer, M. Pawlita, C.S. Rabkin

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): K.-M. Kim, K. Matsuo, J. Torres, L.M. Liao, D. Morgan, A. Michel, T. Waterboer, M.L. Gulley, R.L. Dominguez, Y. Yatabe, S. Kim, G. Cortes-Martinez, J. Zabaleta, M. Pawlita

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): M.C. Camargo, K. Matsuo, D. Morgan, A. Michel, T. Waterboer, M. Song, M. Pawlita, C.S. Rabkin

Writing, review, and/or revision of the manuscript: M.C. Camargo, K.-M. Kim, K. Matsuo, J. Torres, L.M. Liao, D. Morgan, T. Waterboer, G. Cortes-Martinez, J. Lissowska, M. Pawlita, C.S. Rabkin

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): J. Torres, A. Michel, J. Lissowska

Study supervision: M. Pawlita, C.S. Rabkin

This study was funded in part by the Intramural Research Program of the U.S. NCI and by extramural grants P20 GM103501 subproject #2, P01 CA028842, R01 CA190612, P30 CA068485, and K07 CA125588.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

1.
International Agency for Research on Cancer
.
Monographs on the evaluation of carcinogenic risks to humans: schistosomes, liver flukes, and Helicobacter pylori
. First edition.
Lyon, France
:
IARC Press
; 
1994
.
2.
Bray
F
,
Ferlay
J
,
Soerjomataram
I
,
Siegel
RL
,
Torre
LA
,
Jemal
A
. 
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
.
CA Cancer J Clin
2018
;
68
:
394
424
.
3.
Murphy
G
,
Pfeiffer
R
,
Camargo
MC
,
Rabkin
CS
. 
Meta-analysis shows that prevalence of Epstein-Barr virus-positive gastric cancer differs based on sex and anatomic location
.
Gastroenterology
2009
;
137
:
824
33
.
4.
Camargo
MC
,
Koriyama
C
,
Matsuo
K
,
Kim
WH
,
Herrera-Goepfert
R
,
Liao
LM
, et al
Case-case comparison of smoking and alcohol risk associations with Epstein-Barr virus-positive gastric cancer
.
Int J Cancer
2014
;
134
:
948
53
.
5.
Camargo
MC
,
Kim
WH
,
Chiaravalli
AM
,
Kim
KM
,
Corvalan
AH
,
Matsuo
K
, et al
Improved survival of gastric cancer with tumour Epstein-Barr virus positivity: an international pooled analysis
.
Gut
2014
;
63
:
236
43
.
6.
The Cancer Genome Atlas Research Network
. 
Comprehensive molecular characterization of gastric adenocarcinoma
.
Nature
2014
;
513
:
202
9
.
7.
Ribeiro
J
,
Oliveira
C
,
Malta
M
,
Sousa
H
. 
Epstein-Barr virus gene expression and latency pattern in gastric carcinomas: a systematic review
.
Future Oncol
2017
;
13
:
567
79
.
8.
Young
LS
,
Yap
LF
,
Murray
PG
. 
Epstein-Barr virus: more than 50 years old and still providing surprises
.
Nat Rev Cancer
2016
;
16
:
789
802
.
9.
Horwitz
CA
,
Henle
W
,
Henle
G
,
Rudnick
H
,
Latts
E
. 
Long-term serological follow-up of patients for Epstein-Barr virus after recovery from infectious mononucleosis
.
J Infect Dis
1985
;
151
:
1150
3
.
10.
Schaeffner
M
,
Mrozek-Gorska
P
,
Buschle
A
,
Woellmer
A
,
Tagawa
T
,
Cernilogar
FM
, et al
BZLF1 interacts with chromatin remodelers promoting escape from latent infections with EBV
.
Life Sci Alliance
2019
;
2
.
doi: 10.26508/lsa.201800108
.
11.
Murata
T
. 
Regulation of Epstein-Barr virus reactivation from latency
.
Microbiol Immunol
2014
;
58
:
307
17
.
12.
Ryan
JL
,
Morgan
DR
,
Dominguez
RL
,
Thorne
LB
,
Elmore
SH
,
Mino-Kenudson
M
, et al
High levels of Epstein-Barr virus DNA in latently infected gastric adenocarcinoma
.
Lab Invest
2009
;
89
:
80
90
.
13.
Song
HJ
,
Srivastava
A
,
Lee
J
,
Kim
YS
,
Kim
KM
,
Kang
WK
, et al
Host inflammatory response predicts survival of patients with Epstein-Barr virus-associated gastric carcinoma
.
Gastroenterology
2010
;
139
:
84
92
.
14.
Brenner
N
,
Mentzer
AJ
,
Butt
J
,
Michel
A
,
Prager
K
,
Brozy
J
, et al
Validation of multiplex serology detecting human herpesviruses 1–5
.
PLoS One
2018
;
13
:
e0209379
.
15.
Teras
LR
,
Gapstur
SM
,
Maliniak
ML
,
Jacobs
EJ
,
Gansler
T
,
Michel
A
, et al
Prediagnostic antibodies to serum p53 and subsequent colorectal cancer
.
Cancer Epidemiol Biomarkers Prev
2018
;
27
:
219
23
.
16.
DerSimonian
R
,
Laird
N
. 
Meta-analysis in clinical trials
.
Control Clin Trials
1986
;
7
:
177
88
.
17.
Higgins
JP
,
Thompson
SG
,
Deeks
JJ
,
Altman
DG
. 
Measuring inconsistency in meta-analyses
.
BMJ
2003
;
327
:
557
60
.
18.
Nyaga
V
,
Arbyn
M
,
Aerts
M
. 
Metaprop: a Stata command to perform meta-analysis of binomial data
.
Arch Public Health
2014
;
72
:
39
.
19.
Werner
S
,
Chen
H
,
Tao
S
,
Brenner
H
. 
Systematic review: serum autoantibodies in the early detection of gastric cancer
.
Int J Cancer
2015
;
136
:
2243
52
.
20.
Levine
PH
,
Stemmermann
G
,
Lennette
ET
,
Hildesheim
A
,
Shibata
D
,
Nomura
A
. 
Elevated antibody titers to Epstein-Barr virus prior to the diagnosis of Epstein-Barr-virus-associated gastric adenocarcinoma
.
Int J Cancer
1995
;
60
:
642
4
.
21.
Shinkura
R
,
Yamamoto
N
,
Koriyama
C
,
Shinmura
Y
,
Eizuru
Y
,
Tokunaga
M
. 
Epstein-Barr virus-specific antibodies in Epstein-Barr virus-positive and -negative gastric carcinoma cases in Japan
.
J Med Virol
2000
;
60
:
411
6
.
22.
Imai
S
,
Koizumi
S
,
Sugiura
M
,
Tokunaga
M
,
Uemura
Y
,
Yamamoto
N
, et al
Gastric carcinoma: monoclonal epithelial malignant cells expressing Epstein-Barr virus latent infection protein
.
Proc Natl Acad Sci U S A
1994
;
91
:
9131
5
.
23.
Joab
I
,
Nicolas
JC
,
Schwaab
G
,
de-The
G
,
Clausse
B
,
Perricaudet
M
, et al
Detection of anti-Epstein-Barr-virus transactivator (ZEBRA) antibodies in sera from patients with nasopharyngeal carcinoma
.
Int J Cancer
1991
;
48
:
647
9
.
24.
Dardari
R
,
Khyatti
M
,
Benider
A
,
Jouhadi
H
,
Kahlain
A
,
Cochet
C
, et al
Antibodies to the Epstein-Barr virus transactivator protein (ZEBRA) as a valuable biomarker in young patients with nasopharyngeal carcinoma
.
Int J Cancer
2000
;
86
:
71
5
.
25.
Tedeschi
R
,
Dillner
J
,
DePaoli
P
. 
Antibody responses to defined epitopes in the Epstein-Barr virus BZLF1-encoded transactivator protein among human immunodeficiency virus-infected patients
.
Clin Diagn Lab Immun
1996
;
3
:
363
4
.
26.
Aragones
N
,
Fernandez de Larrea
N
,
Pastor-Barriuso
R
,
Michel
A
,
Romero
B
,
Pawlita
M
, et al
Epstein Barr virus antibody reactivity and gastric cancer: a population-based case-control study
.
Cancer Epidemiol
2019
;
61
:
79
88
.
27.
Varga
MG
,
Cai
H
,
Waterboer
T
,
Murphy
G
,
Shimazu
T
,
Taylor
PR
, et al
Epstein-Barr virus antibody titers are not associated with gastric cancer risk in East Asia
.
Dig Dis Sci
2018
;
63
:
2765
72
.
28.
Shibata
D
,
Weiss
LM
. 
Epstein-Barr virus-associated gastric adenocarcinoma
.
Am J Pathol
1992
;
140
:
769
74
.
29.
Zur Hausen
A
,
van Rees
BP
,
van Beek
J
,
Craanen
ME
,
Bloemena
E
,
Offerhaus
GJ
, et al
Epstein-Barr virus in gastric carcinomas and gastric stump carcinomas: a late event in gastric carcinogenesis
.
J Clin Pathol
2004
;
57
:
487
91
.
30.
Ryan
JL
,
Shen
YJ
,
Morgan
DR
,
Thorne
LB
,
Kenney
SC
,
Dominguez
RL
, et al
Epstein-Barr virus infection is common in inflamed gastrointestinal mucosa
.
Dig Dis Sci
2012
;
57
:
1887
98
.
31.
Wanvimonsuk
S
,
Thitiwanichpiwong
P
,
Keelawat
S
,
Mutirangura
A
,
Kitkumthorn
N
. 
Distribution of the Epstein-Barr virus in the normal stomach and gastric lesions in Thai population
.
J Med Virol
2019
;
91
:
444
9
.
32.
Schetter
AJ
,
You
WC
,
Lennette
ET
,
Gail
MT
,
Rabkin
CS
. 
Association of Epstein-Barr virus antibody levels with precancerous gastric lesions in a high-risk cohort
.
Cancer Sci
2008
;
99
:
350
4
.
33.
Liu
Z
,
Ji
MF
,
Huang
QH
,
Fang
F
,
Liu
Q
,
Jia
WH
, et al
Two Epstein-Barr virus-related serologic antibody tests in nasopharyngeal carcinoma screening: results from the initial phase of a cluster randomized controlled trial in Southern China
.
Am J Epidemiol
2013
;
177
:
242
50
.
34.
Li
T
,
Guo
X
,
Ji
M
,
Li
F
,
Wang
H
,
Cheng
W
, et al
Establishment and validation of a two-step screening scheme for improved performance of serological screening of nasopharyngeal carcinoma
.
Cancer Med
2018
;
7
:
1458
67
.
35.
Coghill
AE
,
Pfeiffer
RM
,
Proietti
C
,
Hsu
WL
,
Chien
YC
,
Lekieffre
L
, et al
Identification of a novel, EBV-based antibody risk stratification signature for early detection of nasopharyngeal carcinoma in Taiwan
.
Clin Cancer Res
2018
;
24
:
1305
14
.
36.
Chien
YC
,
Chen
JY
,
Liu
MY
,
Yang
HI
,
Hsu
MM
,
Chen
CJ
, et al
Serologic markers of Epstein-Barr virus infection and nasopharyngeal carcinoma in Taiwanese men
.
N Engl J Med
2001
;
345
:
1877
82
.
37.
Cao
SM
,
Liu
Z
,
Jia
WH
,
Huang
QH
,
Liu
Q
,
Guo
X
, et al
Fluctuations of Epstein-Barr virus serological antibodies and risk for nasopharyngeal carcinoma: a prospective screening study with a 20-year follow-up
.
PLoS One
2011
;
6
:
e19100
.
38.
Ji
MF
,
Wang
DK
,
Yu
YL
,
Guo
YQ
,
Liang
JS
,
Cheng
WM
, et al
Sustained elevation of Epstein-Barr virus antibody levels preceding clinical onset of nasopharyngeal carcinoma
.
Br J Cancer
2007
;
96
:
623
30
.
39.
Coghill
AE
,
Hildesheim
A
. 
Epstein-Barr virus antibodies and the risk of associated malignancies: review of the literature
.
Am J Epidemiol
2014
;
180
:
687
95
.
40.
Kim
ST
,
Cristescu
R
,
Bass
AJ
,
Kim
KM
,
Odegaard
JI
,
Kim
K
, et al
Comprehensive molecular characterization of clinical responses to PD-1 inhibition in metastatic gastric cancer
.
Nat Med
2018
;
24
:
1449
58
.
41.
Camargo
MC
,
Sivins
A
,
Isajevs
S
,
Folkmanis
V
,
Rudzite
D
,
Gulley
ML
, et al
Associations of Epstein-Barr virus-positive gastric adenocarcinoma with circulating mediators of inflammation and immune response
.
Cancers
2018
;
10
.
doi:10.3390/cancers10090284
.
42.
Santpere
G
,
Darre
F
,
Blanco
S
,
Alcami
A
,
Villoslada
P
,
Mar Alba
M
, et al
Genome-wide analysis of wild-type Epstein-Barr virus genomes derived from healthy individuals of the 1,000 Genomes Project
.
Genome Biol Evol
2014
;
6
:
846
60
.
43.
Zheng
DS
,
Wan
J
,
Cho
YG
,
Wang
LY
,
Chiou
CJ
,
Pai
S
, et al
Comparison of humoral immune responses to Epstein-Barr virus and Kaposi's sarcoma-associated herpesvirus using a viral proteome microarray
.
J Infect Dis
2011
;
204
:
1683
91
.
44.
Fenoglio-Preiser
CM
,
Wang
J
,
Stemmermann
GN
,
Noffsinger
A
. 
TP53 and gastric carcinoma: a review
.
Hum Mutat
2003
;
21
:
258
70
.
45.
Davidoff
AM
,
Iglehart
JD
,
Marks
JR
. 
Immune-response to P53 is dependent upon P53/Hsp70 complexes in breast cancers
.
Proc Natl Acad Sci U S A
1992
;
89
:
3439
42
.
46.
Tahara
T
,
Shibata
T
,
Okamoto
Y
,
Yamazaki
J
,
Kawamura
T
,
Horiguchi
N
, et al
Mutation spectrum of TP53 gene predicts clinicopathological features and survival of gastric cancer
.
Oncotarget
2016
;
7
:
42252
60
.
47.
Marur
S
,
D'Souza
G
,
Westra
WH
,
Forastiere
AA
. 
HPV-associated head and neck cancer: a virus-related cancer epidemic
.
Lancet Oncol
2010
;
11
:
781
9
.