Literature DB >> 29740492

Downregulation of Epstein-Barr virus-induced gene 3 is associated with poor prognosis of hepatocellular carcinoma after curative resection.

Qingjie Song1, Xi Chen2, Weidong Hu2, Guanglin Mei2, Xiaobing Yang2, Han Wu2.   

Abstract

Epstein-Barr virus-induced gene 3 (EBI3) encodes a secretory glycoprotein, and has previously been identified as upregulated in various types of tumors. The presnet study examined the clinical significance of EBI3 expression for predicting tumor recurrence and survival after resection in hepatocellular carcinoma (HCC). EBI3 expression in various HCC cell lines and in 20 pairs of tumor and peritumor tissue samples were detected using western blot analysis. Immunohistochemical staining using tissue microarray with 312 samples from randomly selected patients with HCC who underwent surgery. Survival analysis was performed using univariate and multivariate analyses. EBI3 protein level was higher in L-02 cells and in peri-tumor tissues compared with tumor tissues. Immunohistochemical staining of EBI3 was reduced in HCC tissues in comparison with adjacent normal tissues and significantly associated with tumor invasive characteristics, including tumor thrombus, poor differentiation and large size. Notably, the results suggested that EBI3 was a predictor for tumor recurrence and patient survival, and multivariate analysis indicated EBI3 to be an independent prognostic factor. Even in early-stage disease, low EBI3 expression was also independently associated with increased tumor recurrence and shortened survival. Downregulation of EBI3 in HCC indicated aggressive tumor behaviors and predicted a more severe clinical outcome, which suggests that EBI2 may be a useful biomarker to identify patients at high risk of post-operative recurrence.

Entities:  

Keywords:  Epstein-Barr virus-induced gene 3; biomarker; hepatocellular carcinoma; prognosis; progression

Year:  2018        PMID: 29740492      PMCID: PMC5934722          DOI: 10.3892/ol.2018.8272

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


Introduction

As a member of the malignancies globally with most prevalence, hepatocellular carcinoma (HCC) has an escalated associated mortality and morbidity recently (1). In spite of improvements in clinical therapy and surveillance strategies, HCC's prognosis keeps unsatisfied for great incidence of metastasis and recurrence in patients with HCC after surgical resection (2). It is still challenging to predict recurrence for patients who have undergone surgical resection. Though HCC has several clinicopathological features like vascular invasion and tumor multifocality which do good to assess HCC patients' prognosis, they are not able to meet requirements in clinic for predicting HCC course precisely (3). Thus, various biomarkers were explored to make prediction of HCC outcomes, however, no one was accepted or used widely in clinical practices. In foregoing researches, Epstein-Barr virus-induced gene 3 (EBI3) that was initiatively cloned to be a gene produced within Epstein-Barr virus-transformed B cells via the oncogene underlying membrane protein 1 presented a limited expression pattern within B-cell lymphoma (4). Recently researches showed that as one of the interleukin-12 IL-12) family structural subunits, EBI3 can form a heterodimer with IL-12p35 and IL-27p28 subunit to build IL-35 and IL-27, respectively (5). Nevertheless, IL-35 inhibits whereas IL-27 stimulates anti-tumor responses of T lymphocytes in the tumor local microenvironment (6–8). So, as a dominant subunit of IL-27 or IL-35, EBI3 may participate in the development or progression of cancers (9). Up to now, the information about the expression pattern of EBI3 and its potential predicting prognosis function on cancers are still limited and controversial. Accumulating evidences suggested that upregulated expression of EBI3 was associated with tumor progression and metastasis in a variety of cancers, including lung cancer (10), gastric cancer (11), cervical cancer (12), nasopharyngeal carcinoma (13) and pancreatic cancer (14). Knockdown of EBI3 inhibited lung cancer cell proliferation, while upregulation of EBI3 promoted lung cancer cell growth (10). And tumor-derived IL-35/EBI3 could promote tumor development by enhancing of tumor angiogenesis, myeloid cell accumulation, and suppressing tumor immunity (15). In addition, some studies demonstrated that high expression levels of EBI3 were associated with unfavorable prognosis in many types of cancer patients (10,12,16). Nevertheless, the current research about the significance of IL-35 in HCC seems to be contradictory (17,18). Therefore, in order to explore the clinical importance of EBI3 and its potential as a prognostic biomarker as well as a therapeutic target, we used immunohistochemistry to detect the expression of EBI3 in HCC TMAs with enlargement sample size and appraised its predictive significance in the prognosis of HCC patients receiving radical surgery resection.

Patients and methods

Patients and specimens

Twenty HCC tissues samples used in Western blot assay, which were stored at −80°C in a refrigerator, were randomly collected from patients suffering from liver resection at the Affiliated Hospital of Nantong University (Nantong, China) from 2015 to 2016. Tumor specimens applied to tissue microarrays (TMAs) analysis were consecutively chosen among 312 HCC patients undergoing liver resection in our hospital between 2011 and 2014. For these samples, 5-µm-thick formalin-fixed paraffin-embedded slides were formulated in accordance with the protocol of the Department of Pathology of our hospital. The patients' clinicopathologic features were outlined in Table I. The enrollment criteria for all patients in the study were i) HCC' distinctive pathologic diagnosis; ii) with no anticancer treatment and distant metastases before surgery; iii) underwent curative and primary resection for HCC; and iv) availability of whole clinicopathologic and follow-up data. Liver function was assessed by Child-Pugh classification. The determination of tumor stage was based on the classification system of American Joint Committee on Cancer/International Union Against Cancer tumor-node-metastasis (TNM) in 2002. Tumor differentiation was based by the Edmondson grading system. According to a uniform guideline, postoperative treatments and surveillance were described in our previous study (19). Data were censored at last follow-up for patients without relapse or death. The definition of time to recurrence (TTR) was time from surgery to first detection of tumor recurrence. The definition of overall survival (OS) was time from surgery to death for any inducement. The study protocol was approved by the Human Research Ethics Committee of Nantong University Affiliated Hospital and conformed to the provisions of the Declaration of Helsinki in 1995. Written informed consent was obtained from all study participants.
Table I.

Clinicopathological characteristics of patients with hepatocellular carcinoma.

IndexesN (total=312)%
Age (years)
  ≤5215549.68
  >5215750.32
Sex
  Male4715.06
  Female26584.94
Liver cirrhosis
  No3310.58
  Yes27989.42
HBsAg
  Negative5216.67
  Positive26083.33
Tumor thrombus
  No22772.76
  Yes8527.24
γ-GT (U/l)
  ≤5414847.44
  >5416452.56
AFP (ng/ml)
  ≤2012138.78
  >2019161.22
Child-Pugh score
  A30999.04
  B30.96
Tumor differentiation
  I–II23274.36
  III–IV8025.64
Tumor size (cm)
  ≤520766.35
  >510533.65
Tumor number
  Single27086.54
  Multiple4213.46
Tumor encapsulation
  Complete17255.13
  None14044.87
TNM stage
  I13844.23
  II–III17455.77
BCLC stage
  A21267.95
  B-C10032.05

AFP, alpha-fetoprotein; γ-GT, γ-glutamyl transferase; HBsAg, hepatitis B surface antigen; TNM stage, tumor node metastasis stage; BCLC stage, the Barcelona Clinic Liver Cancer stage.

Postoperative cumulative recurrence and survival rates (in brackets) at 1, 3, and 5 years were 22.8% (89.7%), 42.9% (71.9%), and 56.8% (59.9%) for the whole study population. At last follow-up, either the recurrence of the disease (n=74) or complications related to surgery without recurrence (n=44) caused 118 (37.8%) patients to die. The mean duration of follow-up of the remaining 194 patients was 37.8 months (range: 17.4–58.9 months, standard deviation: ±8.4).

TMAs construction and immunohistochemistry

The construction of TMAs were done as previously described (19). The TMAs were derived from two typical histological cores out of blocks of HCC tumor tissue embedded in paraffin using UT06 Quick-Ray Manual Tissue Microarrayer (Unitma Co., Ltd., Seoul, South Korea). Pathological analysis was reviewed by two independent skillful pathologists for all specimens. Immunohistochemistry (IHC) analysis got performed according to the standard protocols of Envision+™ peroxidase kit (Dako, Carpinteria, CA, USA). Being deparaffinizated and rehydrated, the tissue sections were subsequently heated with 1X sodium citrate solution at 100°C for 30 min, and then washed 3 times. Following immerged in 3% H2O2 for 15 min, the tissue sections were incubated with the rabbit polyclonal anti-human EBI3 antibody (dilution 1:200; sc-32,868; Santa Cruz Biotechnology, Inc., Dallas, TX, USA) overnight at 4°C. A two-step incubation with a secondary antibody was performed using an immunohistochemistry universal kit (ZSGB-BIO; Beijing, China). Incubation of samples were with 3,3′-diaminobenzidine plus (Dako), then counterstained by hematoxylin, dehydrated by graded alcohol, cleared in xylene, and finally placed into permanent mounting media with a cover slip. All cases were calculated and scored by researchers who blinded to the clinical characteristics of the patients. Taking into account not only the staining intensity but also the percentage of cells that stained at this intensity, scoring on EBI3 expression was calculated by the semi-quantitative H-score method. The score of staining intensity was 0, no stain; 1+, weak stain; 2+, moderate stain; or 3+, intense stain. The intensity score determined and multiplied the percentage of cells staining at each intensity to create a score of intensity percentage. The scores representing the percentage of positive cells were as follows: 0, 0–20%; 1, 21–50%, 2, 51–75%; 3, 76–100%. The calculation of final staining scores was adding the four scores of intensity percentage. It had a minimum value of 0 as no stain, as well as a maximum value of 300 as 100% of cells with a 3+ staining intensity.

Cell culture

HCC cell lines Hep3B and SMMC-7721 were obtained from the General Surgery Institute of our hospital. HCC cell lines MHCC97-L, and MHCC97-H with low and high metastatic potential, as well as normal human hepatic L-02 cells were purchased from Liver Cancer Institute, Fudan University (Shanghai, China). These cells were cultured in Dulbecco's modified Eagle's medium (DMEM; Gibco, NY, USA) with the supplement of 10% fetal bovine serum (Hyclone, Logan, UT, USA) and penicillin-streptomycin (Invitrogen; Carlsbad, CA, USA) at 37°C in 5% CO2.

Western blot analysis

Tissue or cell lysates were produced and total proteins were isolated employing standard sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and then were transfered to polyvinylidene difluoride (PVDF) membranes (Millipore, Billerica, MA, USA) which were washed and blocked before incubation with anti-EBI3 (1:400, polyclonal, rabbit anti-human; Santa Cruz Biotechnology Inc.), subsequently incubated with horseradish peroxidase (HRP), as conjugated secondary antibodies. An improved chemiluminescence assay was used to detect the reactions. Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) was applied as a loading control. Western blot quantifications were performed using Image J software (NIH, Bethesda, MD, USA).

Statistical analysis

The statistical analyses were performed using SPSS 22.0 (IBM Corporation, Armonk, NY, USA). X-tile software (Rimm Lab at Yale University, http://medicine.yale.edu/lab/rimm/research/software.aspx) was used to determine the cutoff values for high or low EBI3 expression (20). The relationship between EBI3 expression and clinicopathologic features was assayed using the χ2 test. Survival curves were speculated by the Kaplan-Meier method and compared by log-rank test. Univariate and multivariate analyses were made by Cox-regression model, where all the clinicopathologic characteristics were functioned as covariates. P<0.05 (two-tailed) was considered to indicate a statistically significant difference.

Results

EBI3 expression pattern in HCC cell lines and tissue samples

Western blot assay revealed constitutive EBI3 expression in 6 human hepatoma cell lines examined. The expression of EBI3 was significantly upregulated in L-02 compared with that in HCC cells MHCC97-H, MHCC97-L, and SMMC-7721 with different metastatic potential. We found that protein expression of EBI3 was significantly downregulated in tumors in comparison with the one in relevant peritumoral liver tissues (Fig. 1A). Immunohistochemical analysis showed that the staining pattern of EBI3 was mainly cytoplasmic with week or moderate staining in tumor tissues (Fig. 1B).
Figure 1.

Expression of EBI3 in human hepatoma cell lines and tissue samples. (A) EBI3 was detected by western blot analysis in 5 hepatoma cell lines, 20 HCC tissues and corresponding peritumoral tissues and quantitative results of the western blot analysis, GAPDH served as a loading control *P<0.05 vs. tumor. (B) Representative immunohistochemical staining of EBI3 in tissue microarrays (magnification, ×200). EBI3, Epstein-Barr virus-induced gene 3; HCC, hepatocellular carcinoma; GAPDH, glyceraldehyde-3-phosphate dehydrogenase.

Relationship of EBI3 with clinicopathologic features

We speculated the correlationship between the expression of EBI3 and the clinicopathologic characteristics in HCC patients of study set. As the Table II showed, the downregulated EBI3 was significantly correlated with high AFP level (>20 ng/ml, P=0.001), poor differentiation (III–IV, P<0.001), large tumor size (>5 cm, P=0.011), tumor thrombus (P=0.027), and advanced stage tumor (BCLC stages B-C, P=0.037; TNM stage II–III, P=0.013).
Table II.

Correlation of clinicopathologic characteristics with EBI3 expression

EBI3 expression (n=312)

CharacteristicTotalLowHighP-valueχ2
Age (years)
  ≤5215597580.4720.5178
  >521579265
Sex
  Female4727200.6340.2270
  Male265162103
HBsAg
  No5235170.2771.1837
  Yes260154106
AFP (ng/ml)
  ≤2012159620.00111.5567
  >2019113061
Liver cirrhosis
  No3319140.7090.1392
  Yes279170109
γ-GT (U/L)
  ≤5414885630.2801.1658
  >5416410460
Child-Pugh score
  A3091861230.1601.9713
  B330
Tumor differentiation
  I–II232126106<0.00114.8784
  III–IV806317
Tumor size (cm)
  ≤5207115920.0116.4941
  >51057431
Tumor number
  Single2701621080.5970.2795
  Multiple422715
Encapsulation
  None172101710.4570.5529
  Complete1408852
Tumor thrombus
  No227129980.0274.9037
  Yes856025
TNM stage
  I13873650.0136.1089
  II–III17411658
BCLC stage
  A212120920.0374.3722
  B/C1006931

Statistical analyses were performed using the χ2 test. AFP, alpha-fetoprotein; HBsAg hepatitis B surface antigen; γ-GT, γ-glutamyl transferase; BCLC stage, the Barcelona Clinic Liver Cancer stage.

EBI3 expression and patient prognosis

According to data analysis of X-tile, the study set (n=312) was divided into EBI3 low expression group (a score of from 0 to 140, n=189, 60.6%) and EBI3 high expression group (a score of 141–300, n=123, 39.4%) using a cutoff point of 140. Analysis of survival showed that lower EBI3 level was related with worse patient outcome. The median TTR was significantly reduced among EBI3 protein-low patients (35.17±4.33 months, vs. 45.33±1.95 months for high levels, P<0.001). The median OS was substantially reduced among patients with low EBI3 protein (43.26±1.56 months vs. 53.68±1.43 months for high levels, P<0.001). Postoperative recurrence rates of HCC patients with low and high expression (in brackets) of EBI3 at 1, 3, and 5 years were 26.0% (4.8%), 50.5% (15.9%), and 68.5% (42.3%). Postoperative OS rates of HCC patients with low and high expression (in brackets) of EBI3 at 1, 3, and 5 years were 85.7% (95.9%), 63.8% (84.4%), and 48.1% (78.3%). Univairate analysis illustrated that downregulated of EBI3 was significantly associated with TTR (P<0.001) and OS (P<0.001) (Fig. 2A; Table III). Multivariate analysis demonstrated that EBI3 was an independent predictor for TTR [hazard ratio (HR)=0.634, 95% confidential interval (CI)=0.446–0.901, P=0.013) and OS (HR=0.452, 95% CI=0.290–0.704, P=0.001] (Table III). In addition, apart from EBI3, tumor size was associated with OS, and Child Pugh score and tumor size were correlated with TTR in the multivariate analysis (Table III).
Figure 2.

Kaplan-Meier analysis of survival differences in HCC patients. Difference of time to recurrence and overall survival for EBI3 in early-stage patients (A) and in all population (B). EBI3, Epstein-Barr virus-induced gene 3; HCC, hepatocellular carcinoma.

Table III.

Univariate and multivariate analyses of factors associated with survival and recurrence and early stage.

TTROS


UnivariateMultivariateUnivariateMultivariate




VariablesP-valueP-valueHR95% CIP-valueP-valueHR95% CI
Early stage
  AFP level, ng/ml (≤20 vs. >20)NSNA0.035NS
  Tumor differentiation (I–II vs. III–IV)NSNANSNA
  Tumor size, cm (≤5 vs. >5)<0.001<0.0012.0891.381–3.159<0.001<0.0013.3452.053–5.452
  Tumor number (single vs. multiple)NSNANSNA
  Encapsulation (complete vs. none)NSNANSNA
  EBI3 (low vs. high)0.0030.0070.5530.359–0.851<0.0010.001*0.3880.17–0.694
TMAs assay
  Child-Pugh score (A vs. B)0.0080.0134.9091.402–17.192NSNA
  AFP level, ng/ml (≤20 vs. >20)0.021NS0.007NS
  Liver cirrhosis (no vs. yes)NSNANSNA
  Tumor differentiation (I–II vs. III–IV)NSNANSNA
  Tumor size, cm (≤5 vs. >5)<0.0010.0461.6071.008–2.563<0.001<0.0013.0201.796–5.078
  Tumor thrombus (no vs. yes)<0.001NS<0.001NS
  Encapsulation (complete vs. none)NSNANSNA
  Tumor number (single vs. multiple)0.032NSNSNA
  TNM stage (I vs. II–III)<0.001NS<0.001NS
  BCLC stage (A vs. B-C)<0.001NS<0.001NS
  EBI3 (low vs. high)<0.0010.0130.6340.446–0.901<0.0010.0010.4520.290–0.704

Univariate analysis was calculated by the Kaplan-Meier method (the log-rank test). Multivariate analysis was done using the Cox multivariate proportional hazards regression model with stepwise manner (forward, likelihood ratio). AFP, α-fetoprotein; γ-GT, γ-glutamyl transferase; TTR, time to recurrence; OS, overall survival; NS, not significant; NA, not applicable; HR, hazard ratio; CI, confidential interval.

In addition, because BCLC stage represented the different stages of HCC progression, subgroup analysis was done for a comprehensive knowledge about EBI3 function within different stages. In early HCC (BCLC A stage), univairate analysis showed that downregulated EBI3 was significantly associated with TTR (P=0.003) and OS (P<0.001) (Fig. 2B). Multivariate analysis demonstrated that EBI3 was at high risk of poor TTR (HR=0.553, P=0.007) and OS (HR=0.388, P=0.001) (Table III). Furthermore, EBI3 downregulated expression had prognostic values of TTR in the subgroup of HCC patients with large tumor (>5 cm, P=0.008), single tumor (P<0.001), tumor thrombus (P=0.032), tumor differentiation (I–II, P=0.001) or incomplete tumor encapsulation (P=0.025) (Fig. 3). Similarly, EBI3 could predict OS in the subsets of HCC patients with large tumor (>5 cm; P<0.001), single tumor (P<0.001), tumor thrombus (P=0.031), tumor differentiation (I–II, P<0.001) or incomplete tumor encapsulation (P<0.001) (Fig. 4).
Figure 3.

Subgroup analysis of EBI3 expression in relation to TTR. In term of time to recurrence, subgroup analysis indicated that EBI3 had prognostic value when classified by the following variables: large tumor (>5 cm) (A), single tumor (B), tumor without encapsulation (C), tumor thrombus (D) and tumor differentiation grade (I–II) (E). EBI3, Epstein-Barr virus-induced gene 3; TTR, time to recurrence.

Figure 4.

Subgroup analysis of EBI3 expression in relation to OS. In term of overall survival, subgroup analysis indicated that EBI3 had prognostic value when classified by the following variables: large tumor (>5 cm) (A), single tumor (B), tumor without encapsulation (C), tumor thrombus (D) and tumor differentiation grade (I–II) (E). EBI3, Epstein-Barr virus-induced gene 3; OS, overall survival.

Discussion

The results presented here demonstrated that EBI3 was a promising, independent predictor for survival and recurrence in HCC patients. In the present study, we investigated the expression of EBI3 in human HCC cell lines with low and high metastatic potential as well as resected cancer specimens. And we found that the patients with lower EBI3 expression had shorter survival times and higher recurrence rates after curative resection. In addition, tumor expression of EBI3 was an independent prognostic parameter for survival and recurrence after operation. In the present study EBI3 downregulated expression had close relationship with malignant tumor characteristics, like tumor thrombus, poor differentiation and larger size. More importantly, our results demonstrated that downregulation of EBI3 may represent an early event in HCC development. It is an obvious advantage to predict the recurrence early for HCC patients after resection for response to any treatment and therefore for clinical outcome, particularly for HCC patients in early stage (21). For those in advanced stage, the present vascular invasion and multinodularity has yet been adverse predictors for prognosis established well after resection (22). Nevertheless, prognosis for HCC in early stage is not homogenous at all, and is short of clinicopathological indicators. For those early stage HCC (BCLC A stage) patients, EBI3 revealed the ability in predicting the risk of recurrence and patient survival. The independent prognostic value of EBI3 in HCC patients with early stage is of clinical importance. EBI3 low expression is related with pathogenesis of HCC, and it may be an independent poor prognostic factor for HCC. In this regard, EBI3 may be a cancer suppressor gene of HCC and a potential molecular therapeutic target. The reports of expression pattern and prognostic information on EBI3 in cancers are few and inconsistent. Up to now, it has been reported that immunoreactivity for EBI3 was predominantly expressed in the cytoplasm of cervical cancer (12), breast cancer (23) and lung cancer cells (10), and not in the nuclei of cancer and stromal cells. Zhang et al (13) reported that EBI3 was also over-expressed in the cytoplasm of the nasopharyngeal carcinoma cells. Our findings are in consistent with these observations previously reported. However, Wang et al (15) demonstrated that IL-35 was mainly detected in the stromal cells with various shapes rather than in nasopharyngeal carcinoma and skin melanoma cells. Thus, EBI3 may be detected in various human cancer tissues and are likely of multiple cellular sources. Moreover, high expression of EBI3 in many types of human cancers has been shown to be associated with poor prognosis. It was recently reported that the expression level of IL-35 in HCC tissues is similar to paratumour tissues (17). And HCC patients with high intratumoral IL-35 expression are related with significantly poorer recurrence-free survival and OS than low IL-35 expression patients. Furthermore, in multivariate analysis, IL-35 was found to be an independent prognostic factor for recurrence-free survival but not for OS. Interestingly, Long et al (18) found that the low expression of IL-35 in tumoral tissues seems contribute to the progression of HCC. And they showed that expression levels of IL-35 are significantly higher in the peri-tumoral tissue than the tumoral tissue. Similarly, significantly lower level expression of IL-35 was observed in HCC patients with larger tumor size, higher histological grades, positively microvascular invasion and lymph node. In the present study, we found that EBI3 expression was predominantly downregulated in HCC tumor tissues in comparison to peritumoral liver tissues, and low expression of EBI3 was related with unfavorable TTR and OS in HCC patients. We also found that the expression of IL-12p35, one of subunits of IL-35, is not been detected in the HCC tissues. Although IL-12p35 positive expression was associated with a worse survival in nasopharyngeal carcinoma, multivariate analyses suggested EBI3 rather than IL-12p35 was an independent prognostic marker (13). We assumed that EBI3 may be as a main functional subunit and plays a major role in IL-35, and has different impacts on prognosis based on tumor type. In spite of our findings, limitations of our research need to be addressed. We lacked in vitro data to verify our results and although we did examine the function of EBI3 in the HCC cell lines, further studies are necessary to investigate the underlying mechanisms by which EBI3 influences the invasion and metastasis of cancer cells.
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