BACKGROUND: Studies have evaluated the association between interferon-γ (IFN-γ) +874A/T polymorphism and hepatocellular carcinoma (HCC) risk, but the results are controversial. We performed this meta-analysis to further investigate this association. MATERIAL AND METHODS: Relevant studies were searched by using the PubMed, Web of Science, and Embase databases. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of the association. Subgroup analysis and sensitivity analysis were conducted. RESULTS: Seven case-control studies (859 HCC patients and 1482 healthy controls) were identified to assess the association between IFN-γ +874A/T polymorphism and risk of HCC. IFN-γ +874A/T polymorphism was significantly associated with an increased risk of HCC (OR=1.38; 95% CI 1.12-1.70; P=0.002). In the subgroup analysis by ethnicity, IFN-γ +874A/T polymorphism was significantly associated with HCC risk in Asians (OR=1.42; 95% CI 1.08-1.87; P=0.01), but no significant association was found in Caucasians (OR=1.21; 95% CI 0.86-1.70; P=0.28). IFN-γ +874A/T polymorphism also increased HBV-induced HCC risk (OR=1.42; 95% CI 1.08-1.87; P=0.01). In the subgroup analysis by control source, IFN-γ +874A/T polymorphism was associated with HCC risk in hospital-based studies (OR=1.45; 95% CI 1.09-1.53; P=0.01). A marginal association was found in population-based studies (OR=1.33; 95% CI 0.97-1.83; P=0.08). CONCLUSIONS: This meta-analysis indicates that the IFN-γ +874A/T polymorphism might contribute to HCC risk.
BACKGROUND: Studies have evaluated the association between interferon-γ (IFN-γ) +874A/T polymorphism and hepatocellular carcinoma (HCC) risk, but the results are controversial. We performed this meta-analysis to further investigate this association. MATERIAL AND METHODS: Relevant studies were searched by using the PubMed, Web of Science, and Embase databases. Odds ratios (ORs) with 95% confidence intervals (CIs) were used to assess the strength of the association. Subgroup analysis and sensitivity analysis were conducted. RESULTS: Seven case-control studies (859 HCC patients and 1482 healthy controls) were identified to assess the association between IFN-γ +874A/T polymorphism and risk of HCC. IFN-γ +874A/T polymorphism was significantly associated with an increased risk of HCC (OR=1.38; 95% CI 1.12-1.70; P=0.002). In the subgroup analysis by ethnicity, IFN-γ +874A/T polymorphism was significantly associated with HCC risk in Asians (OR=1.42; 95% CI 1.08-1.87; P=0.01), but no significant association was found in Caucasians (OR=1.21; 95% CI 0.86-1.70; P=0.28). IFN-γ +874A/T polymorphism also increased HBV-induced HCC risk (OR=1.42; 95% CI 1.08-1.87; P=0.01). In the subgroup analysis by control source, IFN-γ +874A/T polymorphism was associated with HCC risk in hospital-based studies (OR=1.45; 95% CI 1.09-1.53; P=0.01). A marginal association was found in population-based studies (OR=1.33; 95% CI 0.97-1.83; P=0.08). CONCLUSIONS: This meta-analysis indicates that the IFN-γ +874A/T polymorphism might contribute to HCC risk.
Hepatocellular carcinoma (HCC) is among the most malignant cancers worldwide. Annually, there are approximately 700 000 newly-diagnosed HCC cases, about half of which were found in China [1]. Despite advances in surveillance, chemotherapy for advanced patients, and surgical intervention for patients with early-stage disease, the prognosis of patients with HCC remains poor. Therefore, it is urgent to seek new effective strategies to identify high-risk individuals.IFN-γ is a product of Th1 cells; it exerts inhibitory effects on Th2 cell differentiation [2]. A significant correlation was found between IFN-γ expression and stage of fibrosis or progressive liver injury in individuals with chronic hepatitis C [3]. Falasca et al. reported that HBV-infectedpatients showed higher plasma IFN-γ levels than the control group [4]. Recently, Lee et al. found that serum IFN-γ level was correlated with tumor stage and tumor size in HCC patients [5].The human IFN-γ gene is located on chromosome 12. It has been established that the T-to-A polymorphism at position874 of the first intron of IFN-γ gene could directly influence IFN-γ production level [6]. The +874A/T polymorphism is located within a putative nuclear factor-κB (NF-κB) binding site, and T allele might be important in the induction of higher IFN-γ production [6]. Recently, many studies have assessed the association between IFN-γ +874A/T polymorphism and the risk of HCC [7-13], but results were conflicting. We conducted this meta-analysis to investigate the association between IFN-γ +874A/T polymorphism and the risk of HCC.
Material and Methods
Publication search
Relevant studies were searched by using the PubMed, Web of Science, and Embase databases (the last retrieval date was Oct 21, 2014, using the search terms: “Hepatocellular carcinoma or liver cancer or liver tumor” and “interferon-γ or interferon or IFN-γ”). All searched studies were retrieved and only published studies with full-text articles were included. For publications with duplicate samples, only the newest study was used in this research.
Inclusion and exclusion criteria
Studies that were included in the meta-analysis met all of the following criteria: (1) evaluated the IFN-γ +874A/T polymorphism and HCC risk, (2) used a case-control design, and (3) had sufficient data for estimating an odds ratio (OR) with 95% confidence interval (CI). Studies were excluded if any of the following criteria were present: (1) not relevant to IFN-γ or HCC risk, (2) animal study, (3) genotype frequencies or numbers were not reported, and (4) reviews or abstracts.
Data extraction
Based on the selection criteria, 2 reviewers extracted and sorted the data independently. The extracted data included: author, year, country, ethnicity, hepatitis virus type, sample size, and source of controls. Authors were contacted by email if further study details were needed.
Statistical analysis
Statistical analysis was all conducted using Stata software 11.0 (StataCorp, College Station, Texas, USA). Hardy-Weinberg equilibrium (HWE) test in healthy control group was conducted using χ2 test. Odds ratio (OR) with a 95% confidence interval (CI) was calculated, and the significance level was 0.05. Q-statistic and I-statistic were used to measure statistical heterogeneity and the significance level was 0.10. Effect model selection was on the basis of heterogeneity test. The fixed-effects model was selected when there was no significant heterogeneity; otherwise, the random-effects model was used. A funnel plot was employed to evaluate publication bias. A P<0.05 was considered statistically significant.
Results
Study characteristics
Seven case-control studies were identified to assess the association between IFN-γ +874A/T polymorphism and risk of HCC. A total of 859 HCC patients and 1482 healthy controls were included in this meta-analysis. The characteristics of the included studies are shown in Table 1. There were 4 studies in Asians, 2 studies in Caucasians, and 1 study in Africans. Four studies included HBV-positive HCC patients.
Table 1
Characteristics of studies included in the meta-analysis.
Author
Year
Country
Ethnicity
Cases/controls (n)
Hepatitis virus status
Control source
Migita
2005
Japan
Asian
48/188
HBV
Hospital
Nieters
2005
China
Asian
250/250
HBV
Hospital
Bouzgarrou
2009
Tunisia
African
100/103
HCV
Population
Ognjanovic
2009
USA
Caucasian
120/230
NA
Population
Kim
2013
Korea
Asian
170/171
HBV
Hospital
Teixeira
2013
Brazil
Caucasian
112/202
Mixed
Population
Saxena
2014
India
Asian
59/338
HBV
Hospital
NA – not available.
Meta-analysis result
As shown in Figure 1, IFN-γ +874A/T polymorphism was significantly associated with an increased risk of HCC (OR=1.38; 95% CI 1.12–1.70; P=0.002). In the subgroup analysis by ethnicity, IFN-γ +874A/T polymorphism was significantly associated with HCC risk in Asians (OR=1.42; 95% CI 1.08–1.87; P=0.01), but no significant association was found in Caucasians (OR=1.21; 95% CI 0.86–1.70; P=0.28). IFN-γ +874A/T polymorphism also increased HBV-induced HCC risk (OR=1.42; 95% CI 1.08–1.87; P=0.01). In the subgroup analysis by control source, IFN-γ +874A/T polymorphism was associated with HCC risk in hospital-based studies (OR=1.45; 95% CI 1.09–1.53; P=0.01). A marginal association was found in population-based studies (OR=1.33; 95% CI 0.97–1.83; P=0.08). Table 2 shows the results of the meta-analysis.
Figure 1
Association between IFN-γ +874A/T polymorphism and risk of HCC.
Table 2
Meta-analysis results and subgroup analyses.
Pheterogeneity
Test of association
Model
OR (95% CI)
P value
Overall
0.80
F
1.38 (1.12–1.70)
0.002
Asian
0.95
F
1.42 (1.08–1.87)
0.01
Caucasian
0.74
F
1.21 (0.86–1.70)
0.28
HBV
0.95
F
1.42 (1.08–1.87)
0.01
Hospital
0.93
F
1.45 (1.09–1.93)
0.01
Population
0.27
F
1.33 (0.97–1.83)
0.08
F – fixed-effects model.
We performed a sensitivity analysis to assess the stability of the meta-analysis. No single study changed the pooled OR, suggesting that results of this meta-analysis are robust (Figure 2).
Figure 2
Sensitivity analysis for the association between IFN-γ +874A/T polymorphism and risk of HCC.
The shape of the funnel plot was symmetrical (Figure 3) and no significant publication bias was detected by Begg’s test (P=0.564).
Figure 3
Funnel plot for the association between IFN-γ +874A/T polymorphism and risk of HCC.
Discussion
This meta-analysis, with 859 HCC patients and 1482 healthy controls, investigated the association between IFN-γ +874A/T polymorphism and HCC risk. Results of this study revealed that individuals with IFN-γ +874A/T polymorphism might have increased HCC risk. Furthermore, Asians, but not Caucasians, with IFN-γ +874A/T polymorphism showed increased HCC risk in the subgroup analysis. Different environments and lifestyles might account for this result. In the HBV patients, IFN-γ +874A/T polymorphism was also significantly associated with HCC risk. There was only 1 study using HCV patients included in this meta-analysis, thus more studies with HCV patients are needed to test this result. In the subgroup analysis by control source, we found a positive association in hospital-based studies, but only a marginal result was observed in the population-based studies. Therefore, more population-based studies are needed to validate this result.Lee et al. reported that pretreatment serum IFN-γ level not only correlated with the baseline tumor stage and size, but also correlated with tumor recurrence after curative treatment in early-stage HCC patients [5]. In addition, Xiao et al. found that the combination of intratumoral iNKT cells and IFN-γ was an independent predictor for recurrence and survival in HCC patients [14]. The imbalance of Th1 and Th2 cytokines in the microenvironment might play a critical role in modulating HCC progression and metastasis [15]. Saxena et al. found that IFN-γ level was higher in HCC patients [13]. In addition, a previous study suggested that IFN-γ +874A/T polymorphism could influence the production of IFN-γ level [6,16]. Therefore, IFN-γ +874A/T polymorphism might impact the risk of HCC.To the best of our knowledge, this is the first meta-analysis to assess the association between IFN-γ +874A/T polymorphism and risk of HCC. There was no significant heterogeneity or publication bias in this meta-analysis. Furthermore, sensitivity analysis indicated that the results were stable. However, there were some limitations. First, the number of included case-control studies was small; thus, more studies should be designed to investigate the association between IFN-γ +874A/T polymorphism and risk of HCC. Second, there was only 1 study in Africans and 2 studies in Caucasians in this meta-analysis; therefore, further studies are needed to validate the results in these races. Third, we did not perform other subgroup analyses due to limited data. Forth, we did not assess the interactions between IFN-γ +874A/T polymorphism and other risk factors of HCC, such as smoking.
Conclusions
Results of this study suggest that IFN-γ +874A/T polymorphism is associated with HCC risk.
Authors: A C Teixeira; C T Mendes; L A Marano; N H S Deghaide; M Secaf; J Elias; V Muglia; E A Donadi; A L C Martinelli Journal: Hum Immunol Date: 2013-04-28 Impact factor: 2.850