Author Manuscript Published OnlineFirst on August 17, 2011; DOI: 10.1158/1078-0432.CCR-11-0060 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited.
Identification of Epstein-Barr Virus-Induced Gene 3 as a Novel Serum and
Tissue Biomarker and a Therapeutic Target for Lung Cancer
Ryohei Nishino,1,4 Atsushi Takano,1,2,3 Hideto Oshita,1 Nobuhisa Ishikawa,1 Hirohiko
Akiyama,5 Hiroyuki Ito,6 Haruhiko Nakayama,6 Yohei Miyagi, 7 Eiju Tsuchiya,7 Nobuoki
Kohno,4 Yusuke Nakamura,1 and Yataro Daigo,1,2,3*
1Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical
Science, The University of Tokyo, Tokyo 108-8639, Japan
2Department of Medical Oncology and 3Cancer Center, Shiga University of Medical
Science, Otsu 520-2192, Japan
4Department of Molecular and Internal Medicine, Graduate School of Biomedical
Sciences, Hiroshima University, Hiroshima 734-8551, Japan
5Department of Thoracic Surgery, Saitama Cancer Center, Saitama 362-0806, Japan
6Division of Thoracic Surgery, and 7Molecular Pathology and Genetics Division,
Kanagawa Cancer Center, Yokohama 241-0815, Japan
*Request for reprints: [email protected]
Running title: EBI3, a Novel Biomarker for Lung Cancer
Key words: oncogenes, cancer antigen, biomarker, therapeutic target, lung cancer
1
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Statement of Clinical Relevance
Since there is a significant association between EBI3 expression and poor prognosis
of patients with lung cancer, EBI3 positivity in resected specimens could be an index
providing information useful to physicians in administration of adjuvant therapy and
intensive follow-up of cancer patients who are more likely to suffer a relapse. Since
serum levels of EBI3 are specifically high in operable lung cancer patients, serum
EBI3 can be used for detecting cancer at an early stage and for monitoring the
disease. EBI3 can be classified as a typical oncoantigen and may play important
roles in cancer proliferation; therefore, selective inhibition of EBI3 function could be a
promising therapeutic strategy with powerful biological activity against lung cancer
with a minimal risk of adverse events.
2
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Abstract
Purpose: This study aims to identify novel biomarkers and therapeutic targets for lung
cancer.
Experimental Design: We performed gene expression profile analysis of 120 lung
cancers in order to screen for genes encoding transmembrane/secretory molecules
that are commonly transactivated in lung cancers. Epstein-Barr virus-induced gene
3 (EBI3), which encodes a secretory glycoprotein, was selected as a good candidate.
Immunohistochemical staining using tissue microarray consisting of 414
non-small-cell lung cancers was applied to examine the expression level and
prognostic value of EBI3. Serum EBI3 levels in 400 individuals for training assays
(274 lung cancers and 126 healthy volunteers) and those in 173 individuals for
validation analysis (132 lung cancers and 41 healthy volunteers) were measured by
ELISA. The role of EBI3 in cancer cell growth was examined by small interfering
RNA (siRNA) and cell growth assays using cells stably expressing exogenous EBI3.
Results: Immunohistochemical staining of EBI3 using tissue microarrays revealed
that a high level of EBI3 expression was associated with a poor prognosis of lung
cancer (P = 0.0014), and multivariate analysis confirmed it to be an independent
prognostic factor (P = 0.0439). Serum levels of EBI3 in the training set were found to
be significantly higher in lung cancer patients than in healthy volunteers; this result
was also observed in the validation set. Furthermore, reduction in EBI3 expression
by siRNA suppressed cancer cell proliferation, while induction of exogenous EBI3
conferred growth-promoting activity.
Conclusions: EBI3 is a potential serum and tissue biomarker as well as therapeutic
target for lung cancer.
3
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Introduction
Lung cancer is the leading cause of cancer deaths in the world (1). Although the
overall 5-year survival rate of patients with non-small-cell lung cancer (NSCLC) is only
10%–15%, that of patients with stage IA NSCLC exceeds 80% (2). Several tumor
markers such as carcinoembryonic antigen (CEA), serum cytokeratin 19 fragment
(CYFRA21-1), and progastrin-releasing peptide (Pro-GRP) are clinically available for
lung cancer diagnosis. However, these markers are not entirely useful for screening
early stage cancers because of their relatively low sensitivity and specificity (3, 4).
Therefore, the development of novel diagnostic tools is necessary.
Since cell surface proteins are considered more accessible to immune
mechanisms and drug delivery systems, identification of cancer-specific cell surface
and secretory proteins may be an effective approach to develop novel diagnostic
biomarkers such as serum biomarkers and antibody-based therapies (5). We have
screened genes encoding molecules that are upregulated in lung cancer tissues but
not expressed in normal human tissues. For these experiments, we performed
cDNA microarray analysis of 27,648 genes or expressed sequence tags (ESTs) in
combination with purification of tumor cells by laser microdissection. In addition, we
compared the microarray data with the expression profiles of 31 normal tissues (27
adult and 4 fetal organs) (6-10). To verify the biological and clinicopathological
significance of the respective gene products, we performed tumor tissue microarray
analysis of clinical lung cancer materials as well as loss of function assays using small
interfering RNA (siRNA) (11-29). We also used ELISA to determine whether the
genes exhibiting a tumor-specific transmembrane/secretory protein are potential
diagnostic serum biomarkers (30-35). We also screened for epitope peptides
4
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recognized by human histocompatibility leukocyte-A0201/A2402–restricted cytotoxic
T lymphocyte from the list of selected cancer-testis antigens (36-41). This
systematic approach revealed that the Epstein-Barr virus-induced gene 3 (EBI3) was
frequently transactivated in primary lung cancer.
EBI3 encodes a 34-kDa secretory glycoprotein with a signal peptide and 2
fibronectin type III domains (42). The fibronectin type III repeat region is an
approximately 100-amino-acid domain that contains binding sites for DNA, heparin,
fibrin, and cell surface proteins (43). EBI3 had possible roles in maintenance of
pregnancy or immunotolerance of the human maternal body toward the fetus (44). A
few studies indicated the expression of EBI3 in Hodgkin’s lymphoma and adult T-cell
lymphoma/leukemia (45, 46). However, the significance of EBI3 activation in human
carcinogenesis and its potential as a therapeutic target as well as a
serological/prognostic biomarker were not clarified.
We here describe a crucial role of EBI3 activation in human lung cancer development
and progression as well as its potential as a novel biomarker and/or molecular
therapeutic target for lung cancer.
5
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Materials and Methods
Cell lines and tissue samples. The human lung cancer cell lines used in this study
included 8 adenocarcinoma (ADC; A427, A549, LC319, PC-3, PC-9, PC-14,
NCI-H1373, and NCI-H1781), one bronchioalveolar carcinoma (BAC; NCI-H358), 6
squamous cell carcinoma (SCC; NCI-H226, NCI-H520, NCI-H2170, NCI-H1703,
EBC-1, and RERF-LC-AI), one large cell carcinoma (LCC; LX1), and six small cell
lung cancers (SCLC; DMS114, DMS273, SBC-3, SBC-5, NCI-H196, and H446). A
human bronchial epithelial cell line (BEAS-2B) was used as a control
(Supplementary Table S1). All cells were grown in monolayer in appropriate
medium supplemented with 10% fetal calf serum (FCS) and maintained at 370C in
humidified air with 5% CO2. Primary lung cancer samples had been obtained earlier
with informed consent as described elsewhere (6, 10). All tumors were staged on
the basis of the postsurgical pathologic TNM stage classification of the International
Union Against Cancer (47). In addition, a total of 414 NSCLC tissues and adjacent
normal lung tissues had been obtained with clinicopathologic data from patients who
underwent surgery at Saitama Cancer Center (Saitama, Japan). Summary of patient
background was described in Supplementary Table S2. This study and the use of
all clinical materials mentioned were approved by institutional ethical committees.
Serum samples. Serum samples were obtained in 2000-2008 with informed
consent from 636 individuals comprising 463 training set and 173 validation set for
serum EBI3 detection by ELISA. The training set includes serum samples from 274
patients with lung cancers, 63 patients with chronic obstructive lung disease (COPD),
and 126 healthy volunteers. These serum samples from NSCLC patients were
6
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obtained at Kanagawa Cancer Center Hospital (Yokohama, Japan; n = 121) and
Hiroshima University (Hiroshima, Japan; n=78), and those from SCLC patients were
enrolled as a part of the Japanese Project for Personalized Medicine (BioBank Japan;
n = 75). Serum samples from COPD were obtained from BioBank Japan, and those
from healthy volunteers were obtained from Hiroshima University. The independent
validation set for confirming the reproducibility of serum EBI3 as a cancer detection
biomarker included serum samples from 101 NSCLC and 31 SCLC patients from
BioBank Japan and those from 41 healthy volunteers from Hiroshima University.
Summary of patient background is described on Supplementary Table S3. Serum
was obtained at the time of diagnosis and stored at -150℃. The use of all clinical
materials mentioned was approved by institutional ethical committees.
Semiquantitative RT-PCR. A total of 3 µg aliquot of mRNA from each sample was
reversely transcribed to single-stranded cDNAs using random primer (Roche
Diagnostics) and SuperScript II (Invitrogen). Semiquantitative reverse
transcription-PCR (RT-PCR) experiments were carried out with the following sets of
synthesized primers specific to EBI3 or β-actin (ACTB) as an internal control: EBI3,
5’-TGTTCTCCATGGCTCCCTAC-3’ and 5’-AGCTCCCTGACGCTTGTAAC-3’; ACTB,
5’-GAGGTGATAGCATTGCTTTCG-3’ and 5’-CAAGTCAGTGTACAGGTAAGC-3’.
PCRs were optimized for the number of cycles to ensure product intensity to be within
the linear phase of amplification.
Northern blot analysis. Human multiple tissue blots covering 16 tissues (BD
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Biosciences, Clontech) were hybridized with an [α-32P]-dCTP-labeled, 404-bp PCR
product of EBI3, prepared as a probe using primers
5’-TGTTCTCCATGGCTCCCTAC-3’ and 5’-CTACTTGCCCAGGCTCATTG-3’.
Prehybridization, hybridization, and washing were done following the manufacturer’s
recommendations. The blots were autoradiographed with intensifying screens at
-80℃ for 7 days.
Immunocytochemical analysis. Immunocytochemical analyses were performed
as previously described using a commercially available goat polyclonal anti-human
EBI3 antibody (Santa Cruz Biotechnology; Catalog No. sc-26797) (14). On
immunocytochemical analyses, we confirmed that the antibody was specific for EBI3
protein, using NSCLC cell lines that endogenously expressed EBI3 as well as cell
lines derived from NSCLC or bronchial epithelia that did not express it.
Tissue microarray and Immunohistochemistry. Tumor tissue microarrays were
constructed with 414 formalin-fixed primary lung cancers as described elsewhere (48).
The tissue area for sampling was selected by visual alignment with the corresponding
HE-stained section on a slide. Three, four, or five tissue cores (diameter 0.6 mm;
height 3-4 mm) taken from a donor tumor block were placed into a recipient paraffin
block using a tissue microarrayer (Beecher Instruments). A core of normal tissue
was punched from each case, and 5-µm sections of the resulting microarray block
were used for immunohistochemical analysis.
To investigate the EBI3 protein expression in clinical samples that had been
8
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embedded in paraffin blocks, we stained sections using ENVISION+ kit/horseradish
peroxidase (Dako Cytomation) for immunostaining according to the manufacturer’s
instructions (12). In brief, antigens were retrieved by heating the sections in Target
Retrieval Solution, Citrate pH 6 (Dako Cytomation). A goat polyclonal anti-human
EBI3 antibody (Santa Cruz Biotechnology; Catalog No. sc-26797) was added to each
slide after blocking of endogenous peroxidase and proteins. The sections were
incubated with HRP-labeled anti-goat IgG as the secondary antibody.
Substrate-chromogen was added, and the specimens were counterstained with
hematoxylin. On immunohistochemical analyses, we confirmed that the antibody
was specific for EBI3 protein by antigen blocking assays using EBI3 antigen peptides
(Catalog No. sc-26797P; Santa Cruz Biotechnology) that were used for immunization
of goats to produce polyclonal anti-human EBI3 antibodies (details were shown in
Supplementary Fig. S1 legend).
Three independent investigators semiquantitatively assessed EBI3 positivity
without prior knowledge of clinicopathologic data. The intensity of EBI3 staining was
evaluated using the following criteria: strong positive (scored as 2+), brown staining in
> 50% of tumor cells completely obscuring cytoplasm; weak positive (1+), any lesser
degree of brown staining appreciable in tumor cell cytoplasm; and absent (scored as
0), no appreciable staining in tumor cells. Cases were accepted as strongly positive
if two or more investigators independently defined them as such.
ELISA. We constructed a sandwich-type ELISA system as described previously (32).
In brief, a 96-well microplate (439454; NALGE NUNC International) was coated with a
goat polyclonal anti-human EBI3 antibody (Santa Cruz Biotechnology; Catalog No.
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sc-26797) overnight at 4℃. Wells were blocked with PBS (pH 7.4) containing 5%
BSA and 0.05% Tween 20 for 2 h and then 3-fold diluted sera were added and
incubated for 2 h. A biotinylated polyclonal antibody specific for EBI3 using Biotin
Labeling Kit-NH2 (Dojindo Laboratories) was added as a detection antibody and
incubated for 2 h, followed by reaction with avidin-conjugated peroxidase (P347; Dako
Cytomation) using a Substrate Reagent (R&D Systems). The reaction was stopped
by adding 50 µL of 2N sulfuric acid. Color intensity was determined by a photometer
at a wavelength of 450 nm, with a reference wavelength of 570 nm. Standard curve
of color intensity was made by using immunogen EBI3 peptide for anti-EBI3 antibody
production (Catalog No.sc-26797; Santa Cruz Biotechnology). The color intensity
gained by applying 20 nM of the EBI3 peptide was tentatively defined as 1 U/mL.
Levels of three conventional tumor markers (CEA, CYFRA21-1, and Pro-GRP) in
serum were measured by ELISA with a commercially available enzyme test kit (CEA:
Hope Laboratories; CYFRA21-1: DRG Instruments GmbH; Pro-GRP: TFB Inc.)
according to the supplier’s recommendations.
RNA interference assay. Small interfering RNA (siRNA) duplexes (Dharmacon,
Inc.; 600 pM) were transfected into lung cancer cell lines A549 and LC319, using 30
µL of Lipofectamine 2000 (Invitrogen) following the manufacturer’s protocol. The
transfected cells were cultured for 7 days. Cell numbers and viability were evaluated
by Giemsa staining and triplicate MTT assays (cell counting kit-8 solution; Dojindo
Laboratories). To confirm suppression of EBI3 expression, semiquantitative RT-PCR
was carried out with synthesized primers specific to EBI3 described above. The
10
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target sequences of the synthetic oligonucleotides for RNAi were as follows: control 1
(On-Target plus; Dharmacon, Inc.; pool of 5’-UGGUUUACAUGUCGACUAA-3’;
5’-UGGUUUACAUGUUUUCUGA-3’; 5’-UGGUUUACAUGUUUUCCUA-3’;
5’-UGGUUUACAUGUUGUGUGA-3’); control 2 (Luciferase/LUC: Photinus pyralis
luciferase gene), 5’-CGUACGCGGAAUACUUCGA-3’; siRNAs against EBI3-1
(si-EBI3-#1), 5’-CAAUGAGCCUGGGCAAGUA-3’; si-EBI3-#2,
5’-UCACGGAUGUCCAGCUGUU-3’.
Cell growth assay. To establish COS-7 cells stably expressing EBI3, plasmids
expressing either EBI3 (pcDNA3.1-EBI3-myc/His) or mock plasmids
(pcDNA3.1-myc/His) were transfected into COS-7 cells that did not express
endogenous EBI3, using FuGENE 6 Transfection Reagent (Roche Diagnostics)
according to the manufacturer’s protocol. Transfected cells were cultured in DMEM
containing 10% FBS and geneticin (0.4 mg/ml) for 14 days; then 50 individual colonies
were trypsinized and screened for stable transfectants by a limiting-dilution assay.
Expression of EBI3 protein was determined in each clone by Western blotting and
immunostaining. COS-7 transfectants that could stably express EBI3 were seeded
onto six-well plates (1 X 104 cells/well), and maintained in medium containing 10%
FCS and 0.4 mg/ml geneticin. After 120 hours cell viability was evaluated by MTT
assay. Colonies were also stained at the same time. All experiments were done in
triplicate.
Statistical analysis. Statistical analyses were performed using the StatView
statistical program (SAS). Survival curves were calculated from the date of surgery
11
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to the time of death due to NSCLC or to the last follow-up observation.
Kaplan–Meier curves were calculated for each relevant variable and for EBI3
expression; differences in survival times among patient subgroups were analyzed
using the log-rank test. The sample size for comparing 2 survival curves was
confirmed using a statistical power level of 90% and a 2-sided level of 5% on the basis
of observed probability. The risk factors associated with the prognosis of patients
with NSCLC were evaluated using Cox's proportional hazard regression model with a
step-down procedure. Only variables that were statistically significant in univariate
analysis were evaluated by multivariate analysis. The criterion for removing a
variable was the likelihood ratio statistic, which was based on the maximum partial
likelihood estimate (default P value of 0.05 for removal from the model).
Differences in the serum EBI3 levels among tumor groups, healthy volunteers,
and patients with chronic obstructive pulmonary disease (COPD) were analyzed by
Mann–Whitney U tests. Serum EBI3 levels before and after surgery were analyzed
by the paired t-test. The correlations between serum biomarkers were calculated by
Spearman’s rank correlation. Serum levels of EBI3, CEA, CYFRA21-1, and
Pro-GRP were analyzed by drawing receiver operating characteristic (ROC) curves
for their capability of distinguishing between patients with lung cancers and healthy
volunteers. Statistical comparison between the area under the ROC curve (AUC) of
EBI3 and that of other conventional serum markers was performed by MedCalc
software (MedCalc Software, Mariakerke, Belgium), which calculates the difference in
AUC and standard errors (SEs), followed by statistical calculation of the P value
based on the method proposed by Hanley and McNail (49).
12
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Results
EBI3 expression in lung cancers and normal tissues. To screen novel molecule
targets that can be used for detection of cancer at an early stage and for development
of novel treatment strategies, we first performed genome-wide gene expression
profile analysis of 120 lung carcinomas using a cDNA microarray (6-10). Among
27,648 screened genes or ESTs, we identified elevated expression (5-fold or higher)
of EBI3 transcripts in the great majority of lung cancer tissues examined. We
subsequently confirmed its overexpression by semiquantitative RT-PCR experiments
in 11 of 15 lung cancer tissues and in 14 of 22 lung cancer cell lines (Fig. 1A). We
subsequently performed immunocytochemical analysis to examine the subcellular
localization of endogenous EBI3 protein in 4 lung cancer cell lines as well as
BEAS-2B cells. We found that EBI3 was detected in the cytoplasm of EBI3-positive
lung cancer cell lines with granular appearance, while it was not detected in cells in
which the EBI3 transcript was not detected (Fig. 1B). Since EBI3 is a secretory
protein, we applied ELISA to evaluate the EBI3 protein levels in the culture media of
the same set of cell lines. The amount of detectable EBI3 in culture media was
concordant to the expression levels of EBI3 detected by semiquantitative RT-PCR
and immunocytochemistry, suggesting that anti-EBI3 antibody is capable of
specifically recognizing the secretory EBI3 protein (Fig. 1C).
Northern blot analysis using an EBI3 cDNA fragment as a probe identified a
1.3-kb transcript that was highly expressed only in placenta (Fig. 2A). We examined
the expression of the EBI3 protein in 5 normal tissues (liver, heart, kidney, lung, and
placenta) and lung cancer tissues using anti-EBI3 antibodies. EBI3-positive staining
was mainly observed in the cytoplasm of placenta and lung cancer cells; however, it
13
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was not detectable in 4 normal tissues (Fig. 2B). We confirmed that the positive
signal by anti-EBI3 antibody obtained in lung cancer tissues was markedly diminished
by preincubation of the antibody with an EBI3 antigen peptide used for immunization
of a goat, which independently indicated its specificity to the EBI3 protein
(Supplementary Fig. S1). We also evaluated EBI3 staining in NSCLC and adjacent
normal lung tissues, confirming the EBI3 protein to be positively stained in the majority
of NSCLC tissues but not in their corresponding normal lungs (Fig. 2C).
Association of EBI3 expression with poor prognosis of patients with NSCLC.
To investigate the biological and clinicopathological significance of EBI3 in pulmonary
carcinogenesis, we performed immunohistochemical staining on tissue microarray
containing primary lung tumor tissue sections obtained from 414 patients with NSCLC,
who had undergone surgery. We classified a pattern of EBI3 expression on the
tissue array ranging from absent (scored as 0) to weak/strong positive (scored as 1+
to 2+; Fig. 2D). The number of NSCLC tissues scored as 0, 1, and 2 was 55 (13.3%),
156 (37.7%), and 203 (49.0%), respectively. As shown in Table 1A, male gender (P
= 0.0001 by Fisher’s exact test), no smoking history (P = 0.0051), larger tumor size
(pT2-4; P = 0.0012), and non-adenocarcinoma (ADC) histology (P = 0.0003) were
significantly associated with strong EBI3 positivity. As shown in Fig. 2E, the survival
periods of patients with NSCLC showing absent/weak positive EBI3 staining was
significantly longer than those that of patients with strong positive EBI3 staining (P =
0.0014, log-rank test). To determine the prognostic significance of the clinical
characteristics and EBI3 expression in patients with NSCLC, we performed Cox’s
proportional hazard regression analysis on the parameters listed in Table 1B.
14
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Multivariate analysis determined that EBI3 positivity (P = 0.0439) as well as age,
pathological tumor stage, and pathological node stage were independently useful as
prognostic factors for surgically treated patients with NSCLC.
Serum levels of EBI3 in patients with lung cancer. Since the in vitro findings by
ELISA evaluating the EBI3 protein levels in the culture media of lung cancer cells had
suggested application of EBI3 as a serum biomarker, we investigated whether the
EBI3 protein is detectable in the sera of patients with lung cancer. ELISA
experiments detected the EBI3 protein in serological samples obtained from 274
patients with lung cancer, 63 patients with COPD, and 126 healthy volunteers. The
mean serum level of EBI3 in patients with lung cancer, patients with COPD, and
healthy volunteers was 6.1 ± 5.2 U/mL (mean ± 1 SD), 1.9 ± 2.6 U/mL, and 1.5 ± 1.6
U/mL, respectively. The serum levels of EBI3 were significantly higher in patients
with lung cancer than in those with COPD or in healthy donors (P < 0.0001 and P <
0.0001, respectively, Mann–Whitney U test), whereas the difference between healthy
individuals and patients with COPD was not significant (P = 0.246). When classified
according to histological type, the serum levels of EBI3 were 6.0 ± 5.0 U/mL in
patients with lung ADC, 6.1 ± 4.4 U/mL in patients with lung SCC, and 6.3 ± 6.2 U/mL
in patients with SCLC (Fig. 3A); the differences between the 3 histological types were
not significant (ADC vs. SCC, P = 0.4857; ADC vs. SCLC, P = 0.8309; SCC vs. SCLC,
P = 0.4707). Using ROC curves drawn with the data of the 274 patients with lung
cancer and the 126 healthy volunteers, the cutoff level in this assay was set to provide
optimal diagnostic accuracy and likelihood ratios (minimal false-negative and
false-positive results) for EBI3, i.e., 5.5 U/mL with a sensitivity of 46.7% (128 of 274)
15
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and specificity of 97.6% (123 of 126). According to tumor histology, the proportion of
serum EBI3-positive cases was 47.1% for ADC [95% confidence interval (CI),
39.2%–54.9%; 73 of 155], 54.5% for SCC (95% CI, 39.8%–69.2%; 24 of 44), and
41.3% for SCLC (95% CI, 30.2%–52.5%; 31 of 75). The proportion of serum
EBI3-positive cases was 3.2% (2 of 63) for COPD. Validation analysis using another
independent set of serum samples obtained from patients with lung cancer and
healthy volunteers also confirmed significant elevation of EBI3 in the sera of patients
with lung cancer (Fig. 3B).
We also compared the serum EBI3 values with the expression levels of EBI3
in primary tumors in the same set of 16 NSCLC cases whose serum had been
collected before surgery (8 patients with EBI3-positive tumors and 8 with
EBI3-negative tumors). The levels of serum EBI3 showed good correlation with the
expression levels of EBI3 in primary tumors (Fig. 3C). We then performed ELISA
using 20 pairs (before surgery and 2 months after surgery) of serum samples from
patients with lung cancer to monitor the levels of serum EBI3 in these patients. The
concentration of serum EBI3 decreased significantly after surgical resection of the
primary tumors (Fig. 3D). The results independently support the high specificity and
potentiality of serum EBI3 as a biomarker for detecting cancer at an early stage and
for monitoring the disease.
Combination assay using EBI3 and CEA/CYFRA/Pro-GRP as tumor markers.
To evaluate the clinical usefulness of serum EBI3 levels as a tumor detection
biomarker, we also measured the serum levels of 3 conventional tumor markers (CEA
for ADC, CYFRA21-1 for SCC, and Pro-GRP for SCLC patients) in the same set of
16
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serum samples from patients with cancer and control individuals by ELISA. AUC of
EBI3 was significantly larger than that of CEA in lung ADC (difference between areas,
0.131; SE, 0.0401; 95% CI, 0.0521–0.0210; P = 0.0011); it was also larger than that of
CYFRA21-1 in lung SCC (difference between areas, 0.151; SE, 0.0572; 95% CI,
0.0388–0.0263; P = 0.0083), although it was not as good as that of Pro-GRP in SCLC
(difference between areas, 0.164; SE, 0.0359; 95% CI, 0.0935–0.0234; P < 0.0001,
Fig. 3E). The correlation coefficient between EBI3 and the 3 conventional tumor
markers (CEA, CYFRA21-1, and Pro-GRP) was not significant, indicating that
measuring both EBI3 and the conventional tumor markers in serum can improve the
overall sensitivity of lung cancer detection. Indeed, a combination assay using EBI3
and CEA in serum could improve the overall sensitivity of ADC detection and
diagnosis until 65.8% (102 of 155). The sensitivity of CEA alone was 34.2% (53 of
155) and that of EBI3 was 47.1% (73 of 155). The false-positive rate of the
combined assay for the 2 tumor markers among healthy volunteers (control group)
was 4.8% (6 of 126). The false-positive rate for either CEA or EBI3 individually were
2.4% (3 of 126). The combination assay using EBI3 and CYFRA21-1 in serum could
improve the overall sensitivity of SCC detection until 65.9%. For diagnosing SCC,
the sensitivity of CYFRA21-1 alone was 38.6% (17 of 44) and that of EBI3 was 54.5%
(24 of 44). The false-positive rate by combination of the 2 tumor markers among
healthy volunteers (control group) was 4.8% (6 of 126). The combination assay
using EBI3 and Pro-GRP could improve the overall sensitivity of SCLC detection until
72.0% (54 of 75). For diagnosing SCLC, the sensitivity of ProGRP alone was 60.0%
(45 of 75) and that of EBI3 was 41.3% (31 of 75). The false-positive rate by
combination of the 2 tumor markers among healthy volunteers was 4.0% (5 of 126).
17
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Inhibition of growth of lung cancer cells by siRNA against EBI3. To assess
whether EBI3 plays a role in growth or survival of lung cancer cells, we evaluated the
knockdown effect of endogenous EBI3 expression by siRNA together with 2 different
control siRNA (siRNA for CNT and LUC). Treatment of 2 different NSCLC cells,
A549 or LC319, with the effective siRNA reduced the expression of EBI3 (Fig. 4A)
and resulted in significant inhibition of cell viability and colony numbers as measured
by MTT and colony formation assays (Figs. 4B and 4C). The results suggest that
upregulation of EBI3 contribute to the growth or survival of cancer cells.
Growth-promoting effect of EBI3. To disclose the potential role of EBI3
overexpression in tumorigenesis, we transfected either EBI3-expressing plasmids or
mock plasmids into COS-7 cells, which normally express very low endogenous EBI3,
and established cells that stably expressed EBI3. Two established COS-7 cell lines
expressing exogenous EBI3 (COS-7-EBI3-#A and COS-7-EBI3-#B; Fig. 5A)
exhibited significant rapid cell growth compared with control mock cells
(COS-7-MOCK-M1 and COS-7-MOCK-M2) (Fig. 5B). Furthermore, there was a
tendency of COS7-EBI3 cells to form larger colonies than the control cells (Fig. 5C).
These data strongly suggest a potential oncogenic effect of EBI3.
Discussion
We performed gene expression profile analysis using cDNA microarrays for screening
genes encoding transmembrane/secretory proteins that are upregulated in the
majority of lung cancers (5). With subsequent systemic screening systems utilizing
18
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tumor tissue microarray, RNA interference, high-throughput ELISA, and bioinformatics,
we demonstrated that EBI3 is a useful serum and cancer tissue biomarker. EBI3 is
also a potential target for the development of novel drugs for treating lung cancer.
EBI3 encodes a secretory glycoprotein; it dimerizes with p28 or interleukin
(IL)-12 p35-related subunits to form IL-27 or IL-35 cytokines, respectively (42, 43).
IL-35 is a new member of the IL family and has an immune-suppressive function of
regulatory T cells in mouse inflammatory tissues; however, the precise function is not
well understood in the human immune system (50).
In this study, we demonstrated that EBI3 was expressed in placenta and was
also highly expressed in the majority of surgically resected samples from patients with
NSCLC. Strong EBI3 expression in NSCLC tissues is associated with poor
prognosis. To the best of our knowledge, this is the first study to report that EBI3
expression has a strong prognostic value with regard to human NSCLC. We also
found that inhibition of endogenous EBI3 expression by siRNA resulted in marked
reduction in lung cancer cell viability. Concordantly, mammalian cells expressing
exogenous EBI3 exhibited a significant increase in cellular proliferation. Since EBI3
is a secretory protein, presence of an autocrine/paracrine loop could be an
explanation for the underlying mechanism of the growth-promoting effect of EBI3.
Although the detailed function of EBI3 in lung carcinogenesis, including identification
of its cell surface receptor, should be elucidated in future studies, our results implied
that EBI3 may be associated with cancer growth and a highly malignant phenotype of
lung tumors. Since EBI3 is considered to be a cancer antigen, it might be a good
target for the development of cancer immunotherapy such as cancer vaccines as well
as therapeutic strategies selectively targeting EBI3 activity, which could be essential
19
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for cancer cell growth.
We constructed an ELISA system to measure serum levels of EBI3 and
showed that serum EBI3 was significantly higher in patients with lung cancer than in
patients with COPD and in healthy volunteers. Furthermore, we verified our results
in an independent set of serum samples. The positivity of serum EBI3 seems to be
associated with the presence of lung tumors because the concentration of serum
EBI3 was significantly decreased after surgical resection of primary tumors and the
serum EBI3 levels showed good correlation with its expression levels in primary tumor
tissue in these patients. Importantly, AUC for serum EBI3 levels was significantly
larger than that for CEA and CYFRA21-1, suggesting that EBI3 is a better diagnostic
marker for lung cancer. When we classified all lung cancer serum samples used in
this study (training and validation sets) into clinical stages of lung cancer, the
sensitivity of serum EBI3 for cancer detection was 44.4% for stage I–II lung ADC,
50.0% for stage I–II lung SCC, and 35.2% for SCLC with LD stage (Supplementary
Fig. S2, Supplementary Table S4). These results indicate that the sensitivity of
serum EBI3 as a single tumor marker for early stage lung cancer is likely to be better
than that of CEA and CYFRA21-1, although further validation in larger scale samples
with various clinical stages is necessary. Interestingly, the correlation coefficient
between serum EBI3 and conventional markers was not significant, and combination
assays using both EBI3 and CEA/CYFRA21-1/Pro-GRP improved diagnostic
accuracy with a minimal false-positive rate. Our data presented here shows a
potential usefulness of EBI3 as a serological biomarker for lung cancers. It should
also be noted that we observed EBI3 activation in other types of cancers, such as
pancreatic cancer (data not shown), thus suggesting its diagnostic and therapeutic
20
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application for other tumor types.
In conclusion, we have identified EBI3 as a potential serum and tissue biomarker for
diagnosis of lung cancer. This molecule is a possible candidate for the development
of new anti-cancer drugs.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
Acknowledgments
We thank BioBank Japan for providing the serum samples.
Grant Support: This work was supported in part by Grant-in-Aid for Scientific
Research (B) and Grant-in-Aid for Scientific Research on Innovative Areas from The
Japan Society for the Promotion of Science. Y.D. is a member of Shiga Cancer
Treatment Project supported by Shiga Prefecture (Japan).
21
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Figure legend
Figure 1. Expression and subcellular localization of EBI3 in lung cancers.
A, Expression of EBI3 in 15 representative pairs of clinical lung cancer tissues (T) and
surrounding normal lung (N) tissue samples (top panels) and in 22 lung cancer cell
lines (bottom panels) detected by semiquantitative RT-PCR analysis. B,
Subcellular localization of endogenous EBI3 protein in lung cancer cell lines. EBI3
was stained in the cytoplasm of the cell with granular appearance in A549, LC319 and
PC14 cell lines, whereas no staining was observed in NCI-H2170 and bronchial
epithelia derived BEAS-2B cell lines. C, Detection of secretory EBI3 protein by
ELISA into culture medium from four lung cancer cell lines and BEAS-2B cells.
Figure 2. Expression of EBI3 in normal tissues and lung tumors, and association of
strong EBI3 expression with poor prognosis for NSCLC patients.
A, Northern blot analysis of the EBI3 transcript in 16 normal human tissues. B,
Immunohistochemical analysis of EBI3 protein in representative normal tissues: adult
liver, kidney, heart, lung, and placenta as well as three histological types of lung
cancers (ADC, adenocarcinoma; SCC, squamous cell carcinoma; SCLC, small cell
lung cancer). Original magnification, X200. C, Immunohistochemical analysis of
EBI3 protein in paired lung tumor tissues and adjacent normal lung tissues (T, lung
tumor; N, normal lung). Original magnification, X100. D, Examples are shown for
strong, weak, and absent EBI3 expression in lung squamous cell carcinoma tissues
and a normal lung tissue on tissue microarray. Original magnification, X200. E,
Kaplan-Meier analysis of survival of patients with NSCLC (P = 0.0014 by log-rank
test) according to expression of EBI3 protein. Vertical bars on survival curves
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indicate censored cases.
Figure 3. Serologic concentration of EBI3 protein determined by ELISA in patients
with lung cancer or chronic obstructive lung disease (COPD) and healthy volunteers.
A, EBI3 levels in serum from patients with lung cancer (ADC, SCC, and SCLC) or
COPD and healthy volunteers. Black line indicates cut off values determined by
receiver operating characteristic (ROC) curve. B, Validation analysis of serum levels
of EBI3 in lung cancer patients and healthy volunteers. Black line indicates cut off
values. C, Serum EBI3 levels (U/mL) and EBI3 staining in tumor tissues in 16
NSCLC patients. D, Serum levels of EBI3 before and after curative resection of
primary tumors in NSCLC patients (n = 20). Black lines indicate cut off values. E,
Receiver operating characteristic (ROC) curve analysis of serum EBI3 (blue lines) and
other conventional tumor markers (CEA as red line, CYFRA21-1 as green line, and
ProGRP as yellow line) as serum markers for each histological types of lung cancer.
X axis indicates 1-specificity; Y axis, sensitivity; AUC, area under curves; 95%CI, 95%
confidential interval.
Figure 4. Inhibition of growth of lung cancer cells by siRNAs against EBI3. A, Gene
knockdown effect on EBI3 expression in A549 cells and LC319 cells by siRNAs
against EBI3 (si-EBI3-#1 and -#2) and control siRNAs (si-CNT/On-target,
si-LUC/Luciferase), analyzed by semiquantitative RT-PCR. B, C, MTT assays (B)
and colony formation assays (C) of A549 and LC319 cells transfected with si-EBI3s or
control siRNAs. Columns, relative absorbance of triplicate assays; bars, SD.
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Figure 5. Enhanced growth of mammalian cells stably overexpressing exogenous
EBI3.
A, B, C, In vitro assays showing the rapid growth of COS-7 cells stably
overexpressing EBI3 (COS-7-EBI3-#A and -#B). Two independent transfectants
expressing high levels of EBI3 (COS-7-EBI3-#A and -#B, A) and controls (COS-7-M1
and -M2) were each cultured in triplicate; after 120 hours the cell viability was
evaluated by the MTT assays (B) and colony formation assays (C).
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Table 1A. Association between EBI3-positivity in NSCLC tissues and patients'
characteristics (n = 414)
strong weak absent P-value Total expression expression expression strong vs weak/absent n = 414 n = 203 n = 156 n = 55 expression Gender Male 129 45 55 29 0.0001 + Female 285 158 101 26 Age (years) <65 197 96 82 19 0.9219 ≥65 217 107 74 36 Histological type ADC 265 112 107 46 0.0003 + Non-ADC 149 91 49 9 pT factor T1 138 52 57 29 0.0012 + T2+T3+T4 276 151 99 26 pN factor N0 264 120 105 39 0.0655 N1+N2 150 83 51 16 Smoking history Never smoker 123 47 54 22 0.0051 + Smoker 291 156 102 33 ADC, adenocarcinoma +P < 0.05 (Fisher's exact test)
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Table 1B. Cox's proportional hazards model analysis of prognostic factors in
patients with NSCLCs
Variables Hazards ratio 95% CI Unfavorable/Favorable P-value
Univariate analysis
EBI3 1.611 1.198-2.165 Strong(+) / Weak(+) or (-) 0.0016* Gender 1.585 1.131-2.221 Male / Female 0.0074* Age ( years ) 1.477 1.097-1.988 65≧ / <65 0.0102*
Histological type 1.402 1.045-1.883 Non-ADC / ADC1 0.0244*
pT factor 2.667 1.836-3.875 T2+T3+T4 / T1 <0.0001*
pN factor 2.351 1.756-3.149 N1+N2 / N0 <0.0001* Smoking history 1.174 0.847-1.626 Smoker / Never smoker 0.3345 Multivariate analysis
EBI3 1.366 1.009-1.851 Strong(+) / Weak(+) or (-) 0.0439*
Gender 1.278 0.883-1.851 Male / Female 0.1936
Age ( years ) 1.659 1.224-2.247 65≧ / <65 0.0011*
Histological type 0.950 0.688-1.312 Non-ADC / ADC1 0.7559
pT factor 2.125 1.445-3.127 T2+T3+T4 / T1 0.0001*
pN factor 2.256 1.666-3.055 N1+N2 / N0 <0.0001* 1 ADC, adenocarcinoma *P < 0.05
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A
clincancerres.aacrjournals.org Clinical lung cancers
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Identification of Epstein-Barr Virus-Induced Gene 3 as a Novel Serum and Tissue Biomarker and a Therapeutic Target for Lung Cancer
Ryohei Nishino, Atsushi Takano, Hideto Oshita, et al.
Clin Cancer Res Published OnlineFirst August 17, 2011.
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