Next Article in Journal
Orientia tsutsugamushi Infection Stimulates Syk-Dependent Responses and Innate Cytosolic Defenses in Macrophages
Previous Article in Journal
Prevalence, Morpho-Histopathological Identification, Clinical Picture, and the Role of Lernanthropus kroyeri to Alleviate the Zinc Toxicity in Moron labrax
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Pathogens
Volume 12
Issue 1
10.3390/pathogens12010054
pathogens-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Association of Common Polymorphisms in the Interleukin-1 Beta Gene with Hepatocellular Carcinoma in Caucasian Patients with Chronic Hepatitis B

by
Janett Fischer
1,*,
Shuang Long
1,
Eleni Koukoulioti
1,2,
Tobias Müller
3,
Balazs Fueloep
4,
Renate Heyne
5,
Mohammed Eslam
6,
Jacob George
6,
Fabian Finkelmeier
7,
Oliver Waidmann
8,
Thomas Berg
1 and
Florian van Bömmel
1
1
Division of Hepatology, Department of Medicine II, Leipzig University Medical Center, 04103 Leipzig, Germany
2
Hepatogastroenterology Unit, Second Department of Internal Medicine-Propaedeutic, Research Institute and Diabetes Center, Medical School, National and Kapodistrian University of Athens, “Attikon” University General Hospital, 12462 Athens, Greece
3
Department of Medicine—Hepatology and Gastroenterology, Charité—Universitätsmedizin Berlin, 14197 Berlin, Germany
4
Department of Gastroenterology, Kantonsspital Baselland, 4410 Liestal, Switzerland
5
Liver and Study Center Checkpoint, 10969 Berlin, Germany
6
Storr Liver Centre, Westmead Hospital and Westmead Millennium Institute for Medical Research, University Sydney, Sydney 2006, Australia
7
Department of Gastroenterology, Hepatology and Endocrinology, University Hospital Frankfurt, 60528 Frankfurt, Germany
8
Center for Hematology and Oncology Bethanien, 60389 Frankfurt, Germany
*
Author to whom correspondence should be addressed.
Pathogens 2023, 12(1), 54; https://doi.org/10.3390/pathogens12010054
Submission received: 7 November 2022 / Revised: 19 December 2022 / Accepted: 26 December 2022 / Published: 29 December 2022
(This article belongs to the Section Viral Pathogens)
Browse Figure
Versions Notes

Abstract

:
Interleukin-1 beta (IL-1β) promotes liver disease progression and hepatocarcinogenesis in chronic hepatitis B (CHB). Single nucleotide polymorphisms (SNPs) within the promotor region of the IL-1β gene can affect the progression towards liver cirrhosis and hepatocellular carcinoma (HCC). Aims: We aimed to investigate the association of three common IL-1β SNPs with hepatitis B virus (HBV)-related HCC in Caucasian patients. Method: A Caucasian cohort of 99 patients with HBe antigen (Ag)-positive CHB, 255 patients with HBeAg-negative CHB and 278 inactive carriers (IC) were enrolled. 105 patients were diagnosed with liver cirrhosis, and 64 with HCC and cirrhosis. Genotyping of the IL-1β rs1143623, rs1143627 and rs16944 was performed. Results: The rs1143627 TT and rs16944 CC genotypes were more frequent in patients with HCC compared to patients without liver tumours (48% vs. 33%, p = 0.018 and 47% vs. 31%, p = 0.001, respectively). In multivariate analysis, the rs16944 CC genotype was independently associated with HCC (OR = 6.44 [95% CI 1.50–27.59] p = 0.012). The haplotype, including rs1143623 TT and rs16944 CC, was a risk factor for HCC development (OR = 1.55 [95% CI 1.04–2.32] p = 0.031). Conclusions: We identified an association of common IL-1β SNPs with HBV-related HCC in a Caucasian population. The effect was independent of the phases of chronic HBV infection, which are currently regarded as important HCC risk factors.

1. Introduction

Chronic hepatitis B virus (HBV) infection is the main risk factor for the development of liver cirrhosis and hepatocellular carcinoma (HCC). Accordingly, around 2–5% of patients with HBV-related liver cirrhosis develop HCC per year and globally, approximately 54% of HCC cases can be attributed to HBV infections [1,2]. The risk of developing HCC is variable and driven by several host factors such as the presence of liver cirrhosis, older age and male sex, as well as by HBV factors such as high HBV DNA and HBV surface antigen (HBsAg) levels, certain HBV variants and HBV genotype [3]. However, apart from those risk factors, host genomic variants have been shown to be associated with the risk of HCC development. Thus, several candidate gene-based case-control association studies have reported that common single nucleotide polymorphisms (SNPs) in various interleukin (IL) genes such as IL-12, IL-10, and IL-4 are associated with HBV susceptibility and HBV persistence or with the risk of HBV-related HCC [4,5,6,7].
The cytokine IL-1β is known to participate in both systemic and local inflammatory processes and to mediate several immune responses [8,9]. In carcinogenesis, IL-1β is suggested to increase angiogenesis and promote tumour invasiveness and metastasis [10]. In the promoter region within the IL-1β gene, three SNPs were described at position rs1143623, rs1143627 and rs16944. Previous studies reported that the IL-1β SNPs were linked to the development and pathogenesis of numerous chronic inflammatory diseases [11,12,13] as well as the progression towards chronic hepatitis B [14,15,16].
In this study, we aimed to assess the association of the common SNPs rs1143623, rs1143627, and rs16944 in the IL-1β gene with the development of liver cirrhosis and HCC in a large multicenter cohort of Caucasian patients with chronic HBV infection.

2. Patients and Methods

2.1. Patients

A total of 632 patients of Caucasian origin with chronic HBV mono-infection, defined by the presence of HBsAg and HBV DNA for more than six months, were retrospectively enrolled from four academic hepatology centres in Germany (Section of Hepatology, University Hospital of Leipzig, Germany, Department of Hepatology and Gastroenterology, University Hospital Charité, Berlin, Germany and Department for Internal Medicine I/Gastroenterology and Hepatology, University Hospital Frankfurt, Frankfurt am Main, Germany) and Australia (Storr Liver Centre, Westmead Hospital and Westmead Millennium Institute for Medical Research, University Sydney), and one primary health provider (Liver and Study Centre Checkpoint, Berlin, Germany) between 2003 and 2015. All patients provided written informed consent. The study was approved by the Ethics Committees of Medical Research of the University of Leipzig and Berlin in accordance with the Declaration of Helsinki from 1975 (revision 2013) and the International Conference on Harmonization/Committee for Proprietary Medicinal Products “Good Clinical Practice” guidelines. On their first visit to the liver centres (baseline), blood samples for analysis were collected, and clinical data were assessed. The patients were monitored until 2022. Thus, liver cirrhosis or HCC development was documented during this follow-up period. If patients developed liver cirrhosis or HCC in this period, the clinical data at presentation were used for analysis.
Patients were divided into those with HBeAg-positive chronic hepatitis B (n = 99, HBV DNA level > 2000 IU/mL and elevated serum alanine aminotransferase [ALT] levels in the absence of secondary liver disease), those with HBeAg-negative chronic hepatitis B (n = 255, HBV DNA level > 2000 IU/mL and elevated serum ALT levels), and those with HBeAg-negative infection (previously termed ‘inactive carrier’ phase, IC) (n = 278, HBeAg-negative and HBV DNA levels < 2000 IU/mL, persistently normal serum ALT levels ULN ≤ 40 IU/L) according to the current European guidelines. [2] Caucasian ethnicity was defined as patients descended from Northern/Central or Eastern Europe (n = 402), the Mediterranean region (n = 211) or the Middle East (n = 19). Moreover, the patients were from academic liver centers, and selection bias cannot be excluded. The diagnosis of liver cirrhosis (LC) was based on ultrasound or computer tomography imaging to detect morphological changes such as nodular hepatic contour, an enlarged caudate lobe and left lobe lateral segment, atrophy of the right and left lobe medial segments, widening of the fissures and the porta hepatis, and regenerative nodules [17] and/or a liver biopsy (n = 87). Measurement of liver stiffness by transient elastography (FibroScan) for diagnosis of liver fibrosis [18] was performed in 187 patients. HCC was diagnosed by histological examination of tumor tissue or evidence on imaging. [1] The FIB-4 score can be used for the assessment of the severity of liver fibrosis and is calculated as follows: age × AST/platelet count [×103/μL] × [ALT]1/2. The cut-off values were described previously [19]. A FIB-4 score ≤ 3.25 is representative of mild and/or moderate fibrosis, whereas a FIB-4 score > 3.25 is representative of advanced fibrosis or cirrhosis. Patients were classified into two subgroups at baseline: low scores (FIB-4 ≤ 3.25, n = 473) and high scores (FIB-4 > 3.25, n = 71).

2.2. Genotyping

Genomic DNA was extracted from whole blood samples with an extraction kit from QIAGEN (Hilden, Germany). Genotyping of the IL-1β SNPs rs1143623, rs1143627 and rs16944 was performed by real-time polymerase chain reaction (PCR) and melting curve analysis in a Light Cycler® 480 System (Roche, Basel, Switzerland) using fluorescence resonance energy transfer (FRET) probes (Eurogentec, Lüttich, Belgium). Sequences of primer and probes were: rs11464323 F-5′AGGCTGCTTGGAGAGC-3′, R-5′AGTATGTGCCAGGTATCG-3′, sensor 5′TCACTCCCTTGCATAATGC-FL, anchor Atto620-GAGCGAGCACGATACCTGGC-Ph; rs114643627 F-5′GAAGCTTCCACCAATACTC-3′, R-5′TGCCTTGTGCCTCGAAG-3′, senor 5′TATGGCTTTCAAAAGCAGAAG–FL, anchor Atto620-AGGAGGCTGAGAAATTTCTCTG-Ph; and rs16944 F-5′CTTCCCACTTACAGATGG-3′, R-5′TCTGGCATTGATCTGGTTC-3′, sensor 5′CTCTGCCTCAGGAGCTC-FL and anchor Atto620-CTGTCAATTGCAGGAGCCTCTG-Ph. The PCR conditions were established as previously described [20]. Sequencing was performed with BigDyeTM Terminator and a capillary sequencer from Applied Biosystems (Darmstadt, Germany).

2.3. Determination of Cytokine Levels

Concentrations of IL-1β were measured in sera of 132 Caucasian patients with chronic HBV infection and 160 healthy Caucasian blood donors with the LEGENDplexTM Human Anti-Virus Response Panel (BioLegend, Fell, Germany) according to the manufacturer’s instruction.

2.4. Statistical Analysis

Statistical analyses were performed using SPSS software (SPSS Inc., version 24.0, Chicago, IL, USA). The genotype distributions of the two SNPs were tested for deviations from the Hardy-Weinberg Equilibrium (HWE) [21] using the DeFinetti program with a cut-off p-value of 0.01.
Comparisons of the distributions of demographical characteristics between the different groups were made using the Mann–Whitney U test for continuous variables (each when adequate) and the Fishers exact test for categorical variables. Univariate and multivariate logistic regression analyses, including the factors age, sex, baseline HBV DNA level and ALT level, presence of HBeAg, IC state and presence of liver cirrhosis (when appropriate), were performed to determine the association between the SNPs and the liver disease status under dominant and recessive genetic models. Variables with p < 0.1 in univariate analysis were included in the multivariate logistic regression analyses.
All tests were two-sided, and p-values less than 0.05 were considered statistically significant. The odds ratio (OR) and the 95% confidence interval (CI) were calculated. We aimed to estimate both the recessive and additive effects of the SNPs. The structure of linkage disequilibrium (LD) was analysed with Haploview 4.2 (Broad Institute, Cambridge, MA, USA) by using the expectation–maximization (EM) algorithm. The LD is present between the single SNPs. D’ varies from 0 (complete equilibrium) to 1 (complete disequilibrium). R2 shows the correlation between SNPs. When R2 = 1, two SNPs are in perfect LD, and allelic frequencies are identical for both SNPs [21].

3. Results

3.1. Patient Characteristics and IL-1β Genotype Distribution

The baseline characteristics of the study cohort are shown in Table 1. Patients with HBeAg-negative infection (IC) included significantly fewer males compared to patients with HBeAg-positive (p = 1.61 × 10−5) and HBeAg-negative CHB (p = 0.0001). Furthermore, patients in the IC group developed less severe stages of liver fibrosis than patients in both CHB groups. In detail, liver cirrhosis was diagnosed in 4.0% and HCC in 4.0% of IC compared to 27.5% and 24.2% of cases with LC, and 16.1% and 12.1% cases with HCC in the HBeAg-negative and HBeAg-positive CHB groups, respectively. Alpha-fetoprotein (AFP) was measured in 115 patients (IC: n = 44, HBeAg-positive CHB: n = 10 and HBeAg-negative CHB: n = 61). AFP levels were significantly higher in HBeAg-negative CHB compared to IC (p = 0.043) but not compared to HBeAg-positive CHB (n = 0.705).
Additionally, one patient with HCC presented with prostate cancer, and another patient had an adenocarcinoma. In patients without HCC, the following other cancer types were diagnosed: breast cancer (n = 3), renal cell carcinoma (n = 1), bronchial cancer (n = 1), squamous cell carcinoma (n = 1) and B-cell chronic leukemia (n = 1).
The overall genotype distribution of IL-1β rs1143623 was 51% CC, 41% CG and 7% GG; rs1143627 was 35% TT, 50% CT and 15% CC; and rs16944 was 33% CC, 54% CT and 13% TT. Allele frequencies were similar to the allele frequencies in subjects of Caucasian and Asian origin analysed in the 1000 Genomes [22] and HapMap [23] projects. There were no significant differences in the genotype distribution of rs1142623, rs1143627 and rs16944 between the IC, HBeAg-negative and HBeAg-positive CHB groups.

3.2. Association of the IL-1β SNPs with Liver Cirrhosis

Patients with liver cirrhosis were predominantly male (90% vs. 10%, p = 3.85 × 10−12). Genotype distribution of the IL-1β SNPs rs1143623, rs1143627 and rs16944 were not significantly different between patients with and without ultrasound signs of liver cirrhosis in the overall cohort (Table 2). In adjusted multivariate regression analysis, the factors age (OR = 1.09 [95% CI 1.06–1.12] p = 1.43 × 10−9), male sex (OR = 5.68 [95% CI 2.49–12.98] p = 3.78 × 10−5), Fib-4 score (OR = 1.08 [95% CI 1.00–1.16] p = 0.040), HBeAg-positive CHB (OR = 6.56 [95% CI 1.68–25.57] p = 0.007), and HBeAg-negative CHB (OR = 8.56 [95% CI 2.57–28.55] p = 0.0005) were significantly associated with an increased likelihood of liver cirrhosis diagnosis. However, there was a significant association of the rs16944 CC genotype with the FIB-4 score > 3.25, which correctly identifies significant fibrosis with a specificity of 98–99% [19] in univariate analysis (OR = 1.72 [95% CI 1.03–2.86] p = 0.037). In multivariate regression analysis, adjusting for age, male sex, diabetes, and disease stage, the CC genotype did not remain independently associated with the FIB-4 score > 3.25 (OR = 1.57 [95% CI 0.85–2.89] p = 0.146).

3.3. Association of the IL-1β SNPs with HCC

Genotype distributions of the IL-1β rs1143627 and rs16944 were significantly different between patients with and without HCC in the overall cohort (Table 3). The TT genotype of rs1143627 and the CC genotype of rs16944 were more frequent in patients with HCC compared to non-HCC patients (rs1143627 TT: 48.4% vs. 33.1%, p = 0.047; rs16944 CC: 46.9% vs. 30.8%, p = 0.001). There were no differences in the genotype distribution of the SNP rs1146323. In univariate logistic regression analysis, an increased likelihood of HCC development was observed for the rs1143627 TT genotype (OR = 1.90 [95% CI 1.13–3.20] p = 0.016) and for the rs16944 CC genotype (OR = 2.39 [95% CI 1.42–4.03] p = 0.001) under recessive models. In adjusted multivariate regression analysis, only the rs16944 CC genotype remained independently associated with HCC (OR = 6.44 [95% CI 1.50–27.59] p = 0.012). Interestingly, the combination of both risk variants rs1143627 TT and rs16944 CC was present in 48% of patients with HCC compared to 28% of patients without HCC diagnosis (p = 7.28 × 10−5). This risk variant combination was associated with a higher likelihood of hepatocarcinogenesis with an OR of 2.40 (95% CI 1.42–4.04, p = 0.001) in univariate, and an OR of 3.47 (95% CI 1.50–8.01, p = 0.004) in adjusted multivariate regression analysis, respectively.
In the group of patients with liver cirrhosis (n = 105), the risk variants of both SNPs were more frequent in patients with HCC than those without HCC (rs1143627 TT: 41% vs. 29%, p = 0.016; rs16944 CC: 53% vs. 25%, p = 0.005). Both variants were associated with HCC in univariate analysis with an OR of 2.83 (95% CI 1.26–6.33, p = 0.012) and OR of 3.39 (95% CI 1.49–7.74, p = 0.004), respectively. In adjusted analysis, both SNP showed no independent association with HCC (Table S1). Thus, only the combination of both risk variants increased the risk of HCC development in univariate (OR = 4.63 [95% CI 1.95–10.99] p = 0.001) and multivariate analysis (OR = 4.73 [95% CI 1.82–12.35] p = 0.001).
Since HCC development occurs primarily in older patients, we performed age-stratified analyses. In the patient group with an age of ≥50 years (50-plus, n = 235), 80% (52/64) of all HCCs were diagnosed. Stratification for 50-plus age revealed HCC risk in patients carrying the rs16944 CC genotype with an OR of 2.44 (95% CI 1.20–4.97, p = 0.014) in univariate and with an OR 4.16 (95% CI 1.77–19.89, p = 0.001) in multivariate regression analyses (Table 4).

3.4. Haplotype Analysis of IL-1β rs1143627 and rs16944

Since the IL-1β SNPs rs1143627 and rs16944 are in moderate LD (D’ > 0.8, r2 < 0.8), in the overall cohort, four haplotypes exist (Table 5): rs1143627T/rs16944C (56.5%), rs1143627C/rs16944T (37.1%), rs1143627T/rs16944T (3.3%) and rs1143627C/rs16944C (3.1%). The rs1143627T/rs16944C haplotype comprising both risk variants was significantly associated with a higher risk of HCC development in the overall cohort (OR = 1.55 [95% CI 1.04–2.32] p = 0.031). The risk of progression towards HCC was 12% in patients carrying the TC haplotype compared to 8% of patients carrying the CT haplotype (p = 0.033). In the subgroup of patients with liver cirrhosis, the TC haplotype was present in 59% of patients and associated with an increased risk of HCC development with an OR of 2.03 (95% CI 1.12–3.68, p = 0.02).

3.5. Effect of rs1143627 and rs16944 on IL-1β Serum Levels

IL-1β serum levels were measured in 132 Caucasian patients with chronic HBV infection and 160 healthy Caucasian blood donors serving as controls. The serum levels were higher in patients with chronic HBV infection than in healthy controls (40.9 ± 60.85 ng/mL vs. 22.0 ± 30.0 ng/mL, p = 0.081). Then, the analysis was stratified according to the rs1143627 and rs16944 genotypes. Patients with the rs1143627 TT or rs16944 CC genotype showed higher IL-1β serum levels than carriers of the rs1143627 CT/CC or rs16944 CT/TT genotypes, but significance was missed (rs1143627: 47.5 ± 63.8 ng/mL vs. 37.7 ± 59.4 ng/mL, p = 0.262; rs16944: 48.0 ± 62.0 ng/mL vs. 37.0 ± 60.2 ng/mL, p = 0.129). No differences in IL-1β serum levels were observed in the healthy controls (Figure 1).

4. Discussion

In the present study, we showed for the first time a strong association of the common SNPs rs1143627 and rs16944 in the IL-1β gene with HBV-related HCC in this large multicentre Caucasian population study. The association of the IL-1β polymorphisms with HCC was independent of the known risk factors, such as the presence of liver cirrhosis, older age, male sex and high HBV DNA levels [3], and independent from the phases of chronic HBV infection, in detail HBeAg-positive or HBeAg-negative CHB and HBeAg-negative infection.
In our study, patients carrying the IL-1β rs16944 CC variant had more than seven times higher risk of being diagnosed with HCC than individuals carrying other variants. This finding is in accordance with previous studies performed in Asian populations in which the presence of the rs1644 CC variant increased the HCC risk up to 2.6-fold [24,25,26]—adjusting the analysis to the known risk factors of HCC development, such as the presence of liver cirrhosis, older age and male sex as well as high HBV DNA [3], a strong association with hepatocarcinogenesis was also observed in patients who were >50 years old and carried the rs16944 CC variant. Similar to the rs16944 SNP, the TT variant of IL-1β rs1143627 was also associated with HCC development in chronic HBV infection. However, the association was not independent of the rs16944 SNP, supporting the possible relationship between both IL-1β polymorphisms. The combination of both genotypes rs1143627 TT and rs16944 CC strengthened the power of HCC risk prediction. Furthermore, in haplotype analysis, the IL-1β rs1143627T/rs16944C haplotype, associated with increased hepatocarcinogenesis, was present in almost 70% of patients with HCC. In our population, the overall risk of HCC development was increased up to 12% in chronically infected patients carrying the IL-1β TC haplotype compared to 8% in patients carrying the CT haplotype. Moreover, in patients with liver cirrhosis carrying the IL-1β risk haplotype, the likelihood of HCC was two times higher than in carriers of the CT haplotype.
It is well known that HCC incidence varies between the different phases of chronic HBV infection. The lowest annual risk of HCC development shows patients with chronic HB infection (<1%), followed by patients with liver cirrhosis with HBeAg-negative or HBeAg-positive CHB (2–5%) [1,2,3]. In our study, we also detected the fewest number of HCCs in the IC group and no significant differences in HCC diagnosis between HBeAg-negative and HBeAg-positive CHB. The presence of liver cirrhosis was the main risk factor. However, the impact of the IL-1β polymorphisms was independent of the phases of chronic HBV infection, and the presence of liver cirrhosis enhanced the effect. In all subgroups, patients with HCC showed a higher prevalence of the IL-1β variants compared to non-HCC patients.
IL-1β regulates various immune [8,9] and inflammatory responses [27] and promotes hepatocarcinogenesis [10]. Thus, the IL-1β pathway is known to be part of the NLRP3 inflammasome, which in its active form is involved in the upregulation of fibrotic markers in the liver [28]. Indeed, significant evidence points towards IL-1β as an important mediator of the transition from liver injury to the onset of liver fibrogenesis [29]. Functional studies supported the association of the IL1-β TC haplotype with more severe stages of chronic liver diseases. Hence, rs1143627 SNP alters the TATA sequence in the promotor region. The T allele was associated with a five-fold higher binding activity to the transcription factors compared to the C allele [30], resulting in an elevated IL-1β gene expression in human monocytes [31,32], A549 cells [33] and lung tissue [34]. In an ex vivo blood stimulation assay, the IL-1β TC haplotype was linked to a 2–3-fold increase in the secretion levels of IL-1β after stimulation with lipopolysaccharide [35]. Furthermore, Su et al. reported that circulating IL-1β negatively affected spontaneous HBV clearance [36]. Additionally, the IL-1β rs1143623 C allele was demonstrated to have a higher binding to nuclear extract factors in electrophoretic mobility shift assay, suggesting a stronger promotor activity compared to the major G allele [37]. Interestingly, we only found slightly higher IL-1β serum levels in chronically infected patients carrying the rs1143627 TT or rs16944 CC genotypes compared to carriers of the other variants. However, it has been proposed that gene expression is regulated differently in blood cells and liver tissue resulting in divergent protein levels [38]. Thus, the measurement of cytokine levels in liver tissue might be more reliable.
It is still an unanswered question whether polymorphisms in the IL-1ß gene support HCC development via fibrogenesis alone or whether they have an intrinsic hepatocarcinogenic effect. The IL-1ß rs1143627 TT genotype has been shown to be associated with an increased risk for HCC in Japanese patients with hepatitis C virus infection [39]. The rs16944 SNP was also shown to be associated with a progression towards chronic hepatitis B in patients with acute HBV infection [5]. Furthermore, in Japanese patients with chronic hepatitis B, an association between IL-1ß polymorphisms and HBV-related histologic hepatic fibrosis could be demonstrated [40]. In contrast to Migita et al. [39], we were unable to detect any association between the IL-1β risk variants and ultrasound signs of liver cirrhosis. However, liver histology was available only in a small set (n = 87) of our retrospective population. Furthermore, the measurement of liver stiffness by FibroScan for diagnosing liver fibrosis was only performed in 178 patients [18]. Nonetheless, the FIB-4 score, which allows an approximate estimation of the presence of liver fibrosis, was associated with the IL-1ß rs16944 risk variant. In fact, apart from increasing the HCC risk by increased fibrogenesis, IL-1β was shown to promote hepatocarcinogenesis independently from the presence of significant fibrosis [10]. Accordingly, increased levels of IL-1β were measured in the microenvironment of tumour tissues [41] and serum samples [42]. Moreover, genetic variants in the IL-1ß locus were also shown to contribute to individual susceptibility in developing metabolic syndrome [43]. Metabolic factors such as obesity and diabetes and host genetic variants are reported to have a synergistic effect on HCC development in chronic hepatitis B [44].
We have studied the influence of IL-1ß polymorphisms in a population of HBV-infected individuals with similar HCC incidences as reported in other studies. Thus, in Caucasian individuals with chronic hepatitis B, the annual incidence of HCC is 0.3%, and 2.2% in cirrhotic patients [1,2]. The corresponding 5-year HCC cumulative incidences are 1% and 10%, respectively [45,46]. In our population, the 5-year HCC cumulative incidence was 1.3% in chronic hepatitis B and 3.8% in cirrhotic patients. We, therefore, believe that our results can be extrapolated to other populations with chronic HBV infections. However, this needs to be studied in independent cohorts.
One important limitation of our study is the lack of information on HBsAg levels, which are a major risk factor for HCC development in chronic HBV infection [3]. In our study, HBsAg levels were only available for 258 (40.8%) patients of the total cohort (n = 632) and only in 15 (2.3%) patients with HCC. The patients’ data were retrospectively obtained from medical records dating back to 1996 when the quantitative determination of HBsAg levels had not yet been implemented in the daily practice and had not been routinely conducted. Thus, in upcoming studies focusing on the association of host genetics with hepatocarcinogenesis in CHB, HBsAg levels have to be included in the analysis, especially since it has been shown that HBsAg levels correlate with the phases of HBV infection [47]. Furthermore, alpha-fetoprotein measurement, a tumour marker supporting diagnosis of liver cancer, was performed in only 115 (18.2%) patients.

5. Conclusions

In conclusion, our study shows for the first time that the rs1143627T/rs16944C haplotype of the IL-1β gene is associated with HCC development in chronic HBV infection in a Caucasian population. Therefore, the polymorphic positions of the IL-1β gene may be important factors promoting hepatocarcinogenesis in several populations with different genetic backgrounds. Whether the increase of the HCC risk is mediated by an increase in inflammation or fibrogenesis or by a direct cancerogenic effect needs to be further shown in functional analyses. Determination of the IL-1β SNPs in individualized medicine might improve stratification algorithms and might increase the identification of patients with an increased risk of HCC development. Nevertheless, further large population-based studies in HBV-related HCC, as well as in other liver cancers and functional analyses, are needed to enlighten the impact of genetic variations in hepatocarcinogenesis.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/pathogens12010054/s1, Table S1: Genotype distribution of the IL-1β SNPs in patients with liver cirrhosis (n = 105) with and without HCC and the association with HCC using logistic regression analysis.

Author Contributions

All authors contributed to the acquisition of data, review and critical revision of the manuscript and approved the final version. J.F.: overall coordination of the study, study design, experiments and procedures, interpretation of data, manuscript writing; S.L. experiments and procedures; E.K.: data collection; F.v.B. and T.B.: study design/conception, interpretation of data; R.H., F.v.B., T.M., B.F., F.F., O.W., M.E. and J.G.: sample and data provision. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by a research grant from GILEAD Sciences GmbH.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of Medical Research of the University of Leipzig and Berlin (protocol code 126-15-20042015, 24 April 2015; and EA2/122/14, 6 July 2015) for studies involving humans.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors would like to thank the technical staff and patients involved in this study. We would like to thank Laura A. Kehoe, Medical Communications, for proofreading and editing.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

AFP: alpha-fetoprotein, ALT: alanine aminotransferase, CHB: chronic hepatitis B, CI confidence interval, DNA: deoxyribonucleic acid, EM: expectation–maximization: FIB-4 score: fibrosis-4 score, FL: fluorescein, FRET: fluorescence resonance energy transfer, HBeAg: HBV envelope antigen, HBsAg: HBV surface antigen, HBV: hepatitis B virus, HCC: hepatocellular carcinoma, HCV: hepatitis C virus, HDV: hepatitis delta virus, HIV: human immunodeficiency virus, HWE: Hardy–Weinberg Equilibrium, IC: inactive carrier, IL: interleukin, IU: international units, LD: linkage disequilibrium, LC: liver cirrhosis, N: number, NLR3P: NLR family pyrin domain containing 3, OR: odds ratio, PCR: real-time polymerase chain reaction, Ph: phosphate, REF: reference, SNP: single nucleotide polymorphism.

References

  1. Galle, P.R.; Forner, A.; Llovet, J.M.; Mazzaferro, V.; Piscaglia, F.; Raoul, J.L.; Schirmacher, P.; Vilgrain, V.; European Association for the Study of the Liver. EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma. J. Hepatol. 2018, 69, 182–236. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. European Association for the Study of the Liver. EASL 2017 Clinical Practice Guidelines on the management of hepatitis B virus infection. J. Hepatol. 2017, 67, 370–398. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Raffetti, E.; Fattovich, G.; Donato, F. Incidence of hepatocellular carcinoma in untreated subjects with chronic hepatitis B: A systematic review and meta-analysis. Liver Int. 2016, 36, 1239–1251. [Google Scholar] [CrossRef] [PubMed]
  4. Dondeti, M.F.; El-Maadawy, E.A.; Talaat, R.M. Hepatitis-related hepatocellular carcinoma: Insights into cytokine gene polymorphisms. World J. Gastroenterol. 2016, 22, 6800–6816. [Google Scholar] [CrossRef] [Green Version]
  5. He, D.; Tao, S.; Guo, S.; Li, M.; Wu, J.; Huang, H.; Guo, X.; Yan, G.; Zhu, P.; Wang, Y. Interaction of TLR-IFN and HLA polymorphisms on susceptibility of chronic HBV infection in Southwest Han Chinese. Liver Int. 2015, 35, 1941–1949. [Google Scholar] [CrossRef]
  6. Tan, A.; Gao, Y.; Yao, Z.; Su, S.; Jiang, Y.; Xie, Y.; Xian, X.; Mo, Z. Genetic variants in IL12 influence both hepatitis B virus clearance and HBV-related hepatocellular carcinoma development in a Chinese male population. Tumor Biol. 2016, 37, 6343–6348. [Google Scholar] [CrossRef]
  7. Zhang, T.-C.; Zhang, W.-F.; Zhao, Y.-Q.; Pan, F.-M.; Gao, Y.-F.; Yuan, H.; Liu, X.-Q.; Chen, X.-D.; Zeng, C.-W.; Liu, L.-J.; et al. Gene variation in IL10 and susceptibility to chronic hepatitis B. J. Infect. 2014, 69, 75–80. [Google Scholar] [CrossRef]
  8. Gao, B.; Jeong, W.-I.; Tian, Z. Liver: An organ with predominant innate immunity. Hepatology 2008, 47, 729–736. [Google Scholar] [CrossRef]
  9. Zhiyu, W.; Wang, N.; Wang, Q.; Peng, C.; Zhang, J.; Liu, P.; Ou, A.; Zhong, S.; Cordero, M.D.; Lin, Y. The inflammasome: An emerging therapeutic oncotarget for cancer prevention. Oncotarget 2016, 7, 50766–50780. [Google Scholar] [CrossRef] [Green Version]
  10. Grivennikov, S.I.; Greten, F.R.; Karin, M. Immunity, inflammation, and cancer. Cell 2010, 140, 883–899. [Google Scholar] [CrossRef]
  11. Kutikhin, A.G.; Yuzhalin, A.E.; Volkov, A.N.; Zhivotovskiy, A.S.; Brusina, E.B. Correlation between genetic polymorphisms within IL-1B and TLR4 genes and cancer risk in a Russian population: A case-control study. Tumor Biol. 2014, 35, 4821–4830. [Google Scholar] [CrossRef] [PubMed]
  12. Nelson, J.E.; Handa, P.; Aouizerat, B.; Wilson, L.; Vemulakonda, L.A.; Yeh, M.M.; Kowdley, K.V.; NASH Clinical Research Network. Increased parenchymal damage and steatohepatitis in Caucasian non-alcoholic fatty liver disease patients with common IL1B and IL6 polymorphisms. Aliment. Pharmacol. Ther. 2016, 44, 1253–1264. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Alcaraz-Quiles, J.; Titos, E.; Casulleras, M.; Pavesi, M.; López-Vicario, C.; Rius, B.; Lopategi, A.; Gottardi, A.; Graziadei, I.; Gronbaek, H.; et al. Polymorphisms in the IL-1 gene cluster influence systemic inflammation in patients at risk for acute-on-chronic liver failure. Hepatology 2016, 65, 202–216. [Google Scholar] [CrossRef] [PubMed]
  14. Saxena, R.; Chawla, Y.K.; Verma, I.; Kaur, J. Interleukin-1 Polymorphism and Expression in Hepatitis B Virus-Mediated Disease Outcome in India. J. Interferon Cytokine Res. 2012, 33, 80–89. [Google Scholar] [CrossRef]
  15. Javan, B.; Kalani, M.R.; Shahbazi, M. Interleukin-1 gene cluster Haplotype analysis in the chronic outcome prediction of the Hepatitis B virus infection. J. Med. Virol. 2017, 90, 510–517. [Google Scholar] [CrossRef]
  16. Wei, Y.; Zhao, Z.; Wang, Z.; Zhang, K.; Tang, Z.; Tao, C. Relationships between IL-1β, TNF-α genetic polymorphisms and HBV infection: A meta-analytical study. Gene 2021, 791, 145617. [Google Scholar] [CrossRef]
  17. Yeom, S.K.; Lee, C.H.; Cha, S.H.; Park, C.M. Prediction of liver cirrhosis, using diagnostic imaging tools. World J. Hepatol. 2015, 7, 2069–2079. [Google Scholar] [CrossRef] [Green Version]
  18. Parikh, P.; Ryan, J.D.; Tsochatzis, E.A. Fibrosis assessment in patients with chronic hepatitis B virus (HBV) infection. Ann. Transl. Med. 2017, 5, 40. [Google Scholar] [CrossRef] [Green Version]
  19. World Health Organization. Guidelines for Prevention, Care and Treatment of Persons with Chronic Hepatitis B Infection; World Health Organization: Geneva, Switzerland, 2015. [Google Scholar]
  20. Fischer, J.; Koukoulioti, E.; Schott, E.; Fulop, B.; Heyne, R.; Berg, T.; van Bommel, F. Polymorphisms in the Toll-like receptor 3 (TLR3) gene are associated with the natural course of hepatitis B virus infection in Caucasian population. Sci. Rep. 2018, 8, 12737. [Google Scholar] [CrossRef]
  21. Weir, B.S. Linkage Disequilibrium and Association Mapping. Annu. Rev. Genom. Hum. Genet. 2008, 9, 129–142. [Google Scholar] [CrossRef]
  22. Auton, A.; Abecasis, G.R.; Altshuler, D.M.; Durbin, R.M.; Bentley, D.R.; Chakravarti, A.; Clark, A.G.; Donnelly, P.; Eichler, E.E.; Flicek, P.; et al. A global reference for human genetic variation. Nature 2015, 526, 68–74. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. International HapMap Consortium. The International HapMap Project. Nature 2003, 426, 789–796. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Hirankarn, N.; Kimkong, I.; Kummee, P.; Tangkijvanich, P.; Poovorawan, Y. Interleukin-1beta gene polymorphism associated with hepatocellular carcinoma in hepatitis B virus infection. World J. Gastroenterol. 2006, 12, 776–779. [Google Scholar] [CrossRef] [PubMed]
  25. Chen, C.-C.; Yang, S.-Y.; Liu, C.-J.; Lin, C.-L.; Liaw, Y.-F.; Lin, S.-M.; Lee, S.-D.; Chen, P.-J.; Chen, C.-J.; Yu, M.-W. Association of cytokine and DNA repair gene polymorphisms with hepatitis B-related hepatocellular carcinoma. Int. J. Epidemiol. 2005, 34, 1310–1318. [Google Scholar] [CrossRef] [Green Version]
  26. Tak, K.H.; Im Yu, G.; Lee, M.Y.; Shin, D.H. Association between Polymorphisms of Interleukin 1 Family Genes and Hepatocellular Carcinoma. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 2018, 24, 3488–3495. [Google Scholar] [CrossRef]
  27. Negash, A.A.; Gale, M., Jr. Hepatitis regulation by the inflammasome signaling pathway. Immunol. Rev. 2015, 265, 143–155. [Google Scholar] [CrossRef]
  28. Szabo, G.; Csak, T. Inflammasomes in liver diseases. J. Hepatol. 2012, 57, 642–654. [Google Scholar] [CrossRef] [Green Version]
  29. Luan, J.; Ju, D. Inflammasome: A Double-Edged Sword in Liver Diseases. Front. Immunol. 2018, 9, 2201. [Google Scholar] [CrossRef]
  30. Landvik, N.E.; Tekpli, X.; Anmarkrud, K.H.; Haugen, A.; Zienolddiny, S. Molecular characterization of a cancer-related single nucleotide polymorphism in the pro-inflammatory interleukin-1B gene. Mol. Carcinog. 2012, 51, E168–E175. [Google Scholar] [CrossRef]
  31. El-Omar, E.M.; Carrington, M.; Chow, W.-H.; McColl, K.E.L.; Bream, J.H.; Young, H.A.; Herrera, J.; Lissowska, J.; Yuan, C.-C.; Rothman, N.; et al. Correction: The role of interleukin-1 polymorphisms in the pathogenesis of gastric cancer. Nature 2001, 412, 99. [Google Scholar] [CrossRef]
  32. El-Omar, E.M.; Carrington, M.; Chow, W.-H.; McColl, K.E.L.; Bream, J.H.; Young, H.A.; Herrera, J.; Lissowska, J.; Yuan, C.-C.; Rothman, N.; et al. Interleukin-1 polymorphisms associated with increased risk of gastric cancer. Nature 2000, 404, 398. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Lind, H.; Haugen, A.; Zienolddiny, S. Differential binding of proteins to the IL1B −31 T/C polymorphism in lung epithelial cells. Cytokine 2007, 38, 43–48. [Google Scholar] [CrossRef] [PubMed]
  34. Bhat, I.A.; Naykoo, N.A.; Qasim, I.; Ganie, F.A.; Yousuf, Q.; Bhat, B.A.; Rasool, R.; Aziz, S.A.; Shah, Z.A. Association of interleukin 1 beta (IL-1β) polymorphism with mRNA expression and risk of non small cell lung cancer. Meta Gene 2014, 2, 123–133. [Google Scholar] [CrossRef] [PubMed]
  35. Hall, S.K.; Perregaux, D.G.; Gabel, C.A.; Woodworth, T.; Durham, L.K.; Huizinga, T.W.F.; Breedveld, F.C.; Seymour, A.B. Correlation of polymorphic variation in the promoter region of the interleukin-1β gene with secretion of interleukin-1β protein. Arthritis Rheum. 2004, 50, 1976–1983. [Google Scholar] [CrossRef] [PubMed]
  36. Su, Z.; Chen, J.; Zhang, J.; An, Y.; Liao, Y.; Wu, X.; Tao, C.; Wang, L.; Cai, B. Circulating IL-1β, IL-17, and IP-10 as Potential Predictors of Hepatitis B Virus Infection Prognosis. J. Immunol. Res. 2022, 2022, 5202898. [Google Scholar] [CrossRef] [PubMed]
  37. Lee, K.-A.; Ki, C.-S.; Kim, H.-J.; Sohn, K.-M.; Kim, J.-W.; Kang, W.K.; Rhee, J.C.; Song, S.Y.; Sohn, T.S. Novel interleukin 1beta polymorphism increased the risk of gastric cancer in a Korean population. J. Gastroenterol. 2004, 39, 429–433. [Google Scholar] [CrossRef]
  38. Youssef, S.S.; Fahmy, A.M.; Omran, M.H.; Mohamed, A.S.; El Desouki, M.A.; El-Awady, M.K. In vitro inhibition of hepatitis C virus by antisense oligonucleotides in PBMC compared to hepatoma cells. Biomed. Res. Int. 2014, 2014, 196712. [Google Scholar] [CrossRef] [Green Version]
  39. Wang, Y.; Kato, N.; Hoshida, Y.; Yoshida, H.; Taniguchi, H.; Goto, T.; Moriyama, M.; Otsuka, M.; Shiina, S.; Shiratori, Y.; et al. Interleukin-1β gene polymorphisms associated with hepatocellular carcinoma in hepatitis C virus infection. Hepatology 2003, 37, 65–71. [Google Scholar] [CrossRef]
  40. Migita, K.; Maeda, Y.; Abiru, S.; Nakamura, M.; Komori, A.; Miyazoe, S.; Nakao, K.; Yatsuhashi, H.; Eguchi, K.; Ishibashi, H. Polymorphisms of interleukin-1β in Japanese patients with hepatitis B virus infection. J. Hepatol. 2007, 46, 381–386. [Google Scholar] [CrossRef]
  41. Budhu, A.; Wang, X.W. The role of cytokines in hepatocellular carcinoma. J. Leukoc. Biol. 2006, 80, 1197–1213. [Google Scholar] [CrossRef]
  42. Sachdeva, M.; Chawla, Y.K.; Arora, S.K. Immunology of hepatocellular carcinoma. World J. Hepatol. 2015, 7, 2080–2090. [Google Scholar] [CrossRef] [PubMed]
  43. Lai, C.-Q.; Shen, J.; Parnell, L.D.; Ordovas, J.M.; Arnett, D.K.; Kabagambe, E.K.; Peacock, J.M.; Kraja, A.; Hixson, J.E.; Tsai, M.Y.; et al. Interleukin1β Genetic Polymorphisms Interact with Polyunsaturated Fatty Acids to Modulate Risk of the Metabolic Syndrome. J. Nutr. 2007, 137, 1846–1851. [Google Scholar] [CrossRef] [Green Version]
  44. Tang, R.; Liu, H.; Yuan, Y.; Xie, K.; Xu, P.; Liu, X.; Wen, J. Genetic factors associated with risk of metabolic syndrome and hepatocellular carcinoma. Oncotarget 2017, 8, 35403–35411. [Google Scholar] [CrossRef] [Green Version]
  45. Fattovich, G.; Bortolotti, F.; Donato, F. Natural history of chronic hepatitis B: Special emphasis on disease progression and prognostic factors. J. Hepatol. 2008, 48, 335–352. [Google Scholar] [CrossRef]
  46. Papatheodoridis, G.V.; Chan, H.L.-Y.; Hansen, B.E.; Janssen, H.L.A.; Lampertico, P. Risk of hepatocellular carcinoma in chronic hepatitis B: Assessment and modification with current antiviral therapy. J. Hepatol. 2015, 62, 956–967. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Cornberg, M.; Wong, V.W.-S.; Locarnini, S.; Brunetto, M.; Janssen, H.L.A.; Chan, H.L.-Y. The role of quantitative hepatitis B surface antigen revisited. J. Hepatol. 2017, 66, 398–411. [Google Scholar] [CrossRef] [PubMed]
Pathogens 12 00054 g001 550
Figure 1. Serum levels of interleukin (IL) 1β in patients with chronic HBV infection and healthy controls (HC) stratified according to the IL-1β (A) rs1143627 and (B) rs16944 genotypes. Statistical analysis was performed with Mann–Whitney U Test. Columns show mean values with bars indicating standard error of mean. Y-axis is shown in log10.
Figure 1. Serum levels of interleukin (IL) 1β in patients with chronic HBV infection and healthy controls (HC) stratified according to the IL-1β (A) rs1143627 and (B) rs16944 genotypes. Statistical analysis was performed with Mann–Whitney U Test. Columns show mean values with bars indicating standard error of mean. Y-axis is shown in log10.
Pathogens 12 00054 g001
Table
Table 1. Baseline characteristics of the patients with HBeAg-positive or HBeAg-negative chronic hepatitis B (CHB) or HBeAg-negative infection (IC).
Table 1. Baseline characteristics of the patients with HBeAg-positive or HBeAg-negative chronic hepatitis B (CHB) or HBeAg-negative infection (IC).
Baseline ParameterHBeAg-Negative CHB (n = 255)HBeAg-Positive CHB (n = 99)IC State (n = 278)HBeAg-Negative vs. HBeAg-Positive CHB ‡HBeAg-Negative CHB vs. IC State ‡HBeAg-Positive CHB vs. IC State ‡
Age (years) †56.7 ± 13.553.9 ± 14.351.4 ± 13.50.0932.18 × 10−50.188
Male174 (68.2%)76 (76.8%)144 (51.8%)0.1210.00011.61 × 10−5
HBV DNA (log10 IU/mL) †3.6 ± 2.56.1 ± 2.22.0 ± 1.21.82 × 10−166.54 × 10−163.06 × 10−34
ALT (IU/mL) †87.5 ± 204.279.2 ± 104.131.6 ± 25.00.0441.52 × 10−153.67 × 10−14
Diabetes23 (9.0%)9 (9.1%)22 (7.9%)1.0000.7550.676
FIB-4 score †2.98 ± 6.411.99 ± 2.861.18 ± 0.800.0544.20 × 10−50.329
Liver cirrhosis70 (27.5%)24 (24.2%)11 (4.0%)0.5660.0030.003
HCC41 (16.1%)12 (12.1%)11 (4.0%)0.7330.0010.031
AFP (n = 115)286.4 ± 1421.44.8 ± 4.74.5 ± 8.20.7050.0430.542
NUC treatment214 (83.9%)94 (95.0%)52 (18.7%)0.0055.57 × 10−558.22 × 10−44
Descent Northern/Central or Eastern Europe174 (68.2%)65 (65.7%)163 (58.6%)
Middle East4 (1.6%)2 (2.0%)13 (4.7%)0.7760.0200.365
Mediterranean77 (30.2%)32 (32.3%)102 (36.7%)
† mean ± standard deviation, ‡ p-value, AFP: alpha-fetoprotein, Ag: antigen, ALT: alanine aminotransferase, CHB: chronic hepatitis B, FIB-4: fibrosis-4, HCC: hepatocellular carcinoma, IC: HBeAg-negative infection, NUC: nucleoside/nucleotide, IU: international units. Comparisons of continuous variables were made using the Mann–Whitney U test. Categorical variables were compared with the Fishers exact test.
Table
Table 2. Genotype distribution of the IL-1β SNPs in patients with and without liver cirrhosis and the association with liver cirrhosis using logistic regression analysis.
Table 2. Genotype distribution of the IL-1β SNPs in patients with and without liver cirrhosis and the association with liver cirrhosis using logistic regression analysis.
IL1-βLC (n = 105)No LC (n = 527)Unadjusted OR [95% CI]p-ValueAdjusted OR [95% CI]p-Value
rs1143623CC56 (53.3%)268 (50.9%)REF
CG40 (38.1%)221 (41.9%)0.87 [0.56–1.35]0.252
GG9 (8.6%)38 (7.2%)1.13 [0.52–2.48]0.753
GG/CG vs. CC 0.91 [0.60–1.38]0.643
GG vs. CG/CC 1.21 [0.57–2.57]0.628
rs1143627CC16 (15.2%)81 (15.4%)REF
CT47 (44.8%)269 (51.0%)0.89 [0.48–1.64]0.570
TT42 (40.0%)177 (33.6%)1.20 [0.64–2.26]0.698
TT/CT vs. CC 1.01 [0.56–1.81]0.973
TT vs. CT/CC 1.32 [0.86–2.03]0.208
rs16944TT14 (13.4%)71 (13.5%)REF
CT51 (54.0%)290 (55.0%)0.88 [0.46–1.68]0.996
CC40 (32.6%)166 (31.5%)1.19 [0.61–2.33]0.610
CC/CT vs. TT 1.00 [0.54–1.84]0.989
CC vs. CT/TT 1.32 [0.85–2.03]0.217
Male sex95 (90.5%)299 (56.7%)7.24 [3.69–14.21]8.50 × 10−95.68 [2.49–12.98]3.78 × 10−5
Age (years) †65.6 ± 10.251.6 ± 13.21.10 [1.07–1.12]3.29 × 10−171.09 [1.06–1.12]1.43 × 10−9
HBV DNA (log10 IU/mL) †3.59 ± 2.953.33 ± 2.261.05 [0.95–1.15]0.339
ALT (IU/mL) †119.8 ± 289.850.0 ± 77.41.00 [1.00–1.01]0.00041.00 [1.00–1.00]0.377
Diabetes19 (18.1%)35 (6.6%)3.11 [1.70–5.68]0.00021.90 [0.83–4.34]0.127
FIB-4 score5.20 ± 5.171.46 ± 4.031.37 [1.23–1.52]1.17 × 10−81.08 [1.00–1.16]0.040
IC11 (10.4%)267 (50.7%)REF
HBeAg-positive CHB24 (22.9%)75 (14.2%)7.77 [3.64–16.58]1.17 × 10−76.56 [1.68–25.57]0.007
HBeAg-negative CHB70 (66.7%)185 (35.1%)9.18 [4.73–17.82]8.46 × 10−118.56 [2.57–28.55]0.0005
NUC treatment82 (78.1%)278 (52.8%)3.19 [1.95–5.23]3.93 × 10−60.99 [0.31–3.11]0.980
Descent
Northern/Central or Eastern Europe		90 (85.7%)312 (59.2%)4.39 [2.39–8.07]1.84 × 10−61.95 [0.92–4.14]0.083
Middle East2 (1.9%)17 (3.2%)1.79 [0.37–8.60]0.4661.44 [0.15–14.37]0.755
Mediterranean13 (12.4%)198 (37.6%)REF
† mean ± standard deviation, Ag: antigen, ALT: alanine aminotransferase, CHB: chronic hepatitis B, CI: confidence interval, FIB-4: fibrosis-4, IC: HBeAg-negative infection, IU: international units, LC: liver cirrhosis, NUC: nucleoside/nucleotide, OR: odds ratio, REF: reference.
Table
Table 3. Genotype distribution of the IL-1β SNPs in patients with and without HCC and the association with HCC using logistic regression analysis.
Table 3. Genotype distribution of the IL-1β SNPs in patients with and without HCC and the association with HCC using logistic regression analysis.
IL1-βHCC (n = 64)No HCC (n = 568)Unadjusted OR [95% CI]p-ValueAdjusted OR [95% CI]p-Value
rs1143623CC34 (53.1%)290 (51.1%)REF
CG26 (40.6%)235 (41.4%)0.94 [0.55–1.62]0.833
GG4 (6.3%)43 (7.6%)0.79 [0.27–2.35]0.676
GG/CG vs. CC 0.92 [0.55–1.55]0.754
GG vs. CG/CC 0.81 [0.49–2.02]0.703
rs1143627CC9 (14.1%)88 (15.5%)REF REF
CT24 (37.5%)292 (51.4%)0.81 [0.36–1.79]0.593
TT31 (48.4%)188 (33.1%)1.61 [0.74–3.53]0.232
TT/CT vs. CC 1.12 [0.53–2.35]0.978
TT vs. CT/CC 1.90 [1.13–3.20]0.0160.52 [0.12–2.19]0.370
rs16944TT7 (10.9%)77 (13.6%)REF REF
CT27 (42.2%)316 (55.6%)0.84 [0.35–2.01]0.833
CC30 (46.9%)175 (30.8%)2.07 [0.88–4.90]0.096
CC/CT vs. TT 1.28 [0.56–2.90]0.559
CC vs. CT/TT 2.39 [1.42–4.03]0.0016.44 [1.50–27.59]0.012
Male sex58 (90.6%)336 (59.2%)6.68 [2.83–15.73]1.42 × 10−55.86 [1.47–23.31]0.012
Age (years) †64.4 ± 11.252.7 ± 13.51.07 [1.05–1.09]7.72 × 10−91.06 [1.02–1.10]0.005
HBV DNA (log10 IU/mL) †3.57 ± 2.613.35 ± 2.361.04 [0.92–1.17]0.532
ALT (IU/mL) †94.0 ± 141.458.8 ± 140.81.00 [1.00–1.00]0.188
Diabetes9 (14.1%)45 (7.9%)1.90 [0.88–4.10]0.101
IC11 (17.2%)267 (47.0%)REF
HBeAg-positive CHB12 (18.7%)87 (15.3%)3.34 [1.43–7.86]0.0061.65 [0.37–7.29]0.508
HBeAg-negative CHB41 (63.1%)214 (37.7%)4.65 [2.33–9.27]1.25 × 10−52.50 [0.72–8.73]0.150
FIB-4 score4.11 ± 3.861.90 ± 4.471.06 [1.01–1.12]0.0290.93 [0.84–1.04]0.187
Presence of LC49 (76.6%)56 (9.9%)29.87 [15.74–56.69]2.76 × 10−2517.20 [6.27–47.19]3.31 × 10−8
NUC treatment40 (62.5%)320 (56.3%)1.29 [0.76–2.20]0.346
Descent Northern/Central or Eastern Europe59 (92.2%)343 (60.4%)8.90 [3.19–24.87]3.30 × 10−52.63 [0.76–9.12]0.127
Middle East1 (1.6%)18 (3.2%)2.88 [0.31–27.10]0.3563.20 [0.23–44.33]0.386
Mediterranean4 (6.3%)207 (36.4%)
† mean ± standard deviation, ALT: alanine aminotransferase, Ag: antigen, CHB: chronic hepatitis B, CI: confidence interval, FIB-4: fibrosis-4, HCC: hepatocellular carcinoma, IC: HBeAg-negative infection, IU: international units, LC: liver cirrhosis, NUC: nucleoside/nucleotide, OR: odds ratio, REF: reference.
Table
Table 4. Genotype distribution of the IL-1β SNPs in 50-plus patients (n = 235) with and without HCC and the association with HCC using logistic regression analysis.
Table 4. Genotype distribution of the IL-1β SNPs in 50-plus patients (n = 235) with and without HCC and the association with HCC using logistic regression analysis.
IL1-βHCC (n = 52)No HCC (n = 183)Unadjusted OR [95% CI]p-ValueAdjusted OR [95% CI]p-Value
rs1143623CC28 (53.8%)97 (53.0%)REF
CG21 (40.4%)71 (38.8%)1.03 [0.54–1.95]0.941
GG3 (5.8%)15 (8.2%)0.69 [0.19–2.57]0.583
GG/CG vs. CC 0.97 [0.52–1.79]0.915
GG vs. CG/CC 0.69 [0.19–2.47]0.563
rs1143627CC6 (11.5%)23 (12.6%)REF
CT21 (40.4%)92 (50.3%)0.88 [0.32–2.42]0.797
TT25 (48.1%)68 (37.2%)1.41 [0.52–3.86]0.505
TT/CT vs. CC 1.40 [0.42–2.87]0.842
TT vs. CT/CC 1.57 [0.84–2.91]0.157
rs16944TT4 (7.7%)21 (11.5%)REF REF
CT21 (40.4%)99 (54.1%)1.11 [0.35–3.58]0.857
CC27 (51.9%)63 (34.4%)2.25 [0.71–7.18]0.171
CC/CT vs. TT 1.95 [0.51–4.75]0.438
CC vs. CT/TT 2.06 [1.10–3.84]0.0234.16 [1.79–9.71]0.001
Male sex41 (91.1%)106 (57.9%)8.72 [3.02–25.20]6.38 × 10−55.94 [1.77–19.89]0.004
Age (years) †68.3 ± 8.168.3 ± 6.71.00 [0.95–1.04]0.899
HBV DNA (log10 IU/mL) †3.55 ± 2.503.30 ± 2.621.01 [0.89–1.15]0.856
ALT (IU/mL) †94.0 ± 141.458.8 ± 140.81.00 [1.00–1.00]0.206
Diabetes8 (15.4%)31 (16.9%)0.52 [0.19–1.42]0.202
IC state10 (19.2%)74 (40.4%)REF
HBeAg-positive CHB9 (17.3%)26 (14.2%)2.56 [0.94–7.00]0.0670.74 [0.20–2.72]0.652
HBeAg-negative CHB33 (63.5%)83 (45.4%)2.94 [1.36–6.38]0.0060.68 [0.24–1.94]0.474
FIB-4 score4.12 ± 2.433.30 ± 6.971.02 [0.97–1.06]0.487
Presence of LC42 (80.8%)37 (20.2%)16.57 [7.61–36.09]1.54 × 10−1216.90 [6.49–44.00]6.99 × 10−9
NUC treatment33 (63.5%)118 (64.5%)0.96 [0.50–1.82]0.892
Descent
Northern/Central or Eastern Europe		47 (90.4%)151 (82.5%)2.33 [0.78–6.97]0.129
Middle East7 (7.7%)30 (16.4%)3.75 [0.27–51.37]0.322
Mediterranean1 (1.9%)2 (1.1%)REF
† mean ± standard deviation, ALT: alanine aminotransferase, Ag: antigen, CHB: chronic hepatitis B, CI: confidence interval, FIB-4: fibrosis-4, HCC: hepatocellular carcinoma, IC: HBeAg-negative infection, IU: international units, LC: liver cirrhosis, NUC: nucleoside/nucleotide, OR: odds ratio, REF: reference.
Table
Table 5. Haplotype frequencies of IL-1β rs1143627/rs16944 and association with HCC in the study cohort using logistic regression analysis.
Table 5. Haplotype frequencies of IL-1β rs1143627/rs16944 and association with HCC in the study cohort using logistic regression analysis.
rs1143627/rs16944 HaplotypesFrequencyOR [95% CI]p-Value
OverallNo HCCHCC
TC0.5650.5530.6721.55 [1.04–2.32]0.031
CT0.3710.3790.297REFREF
CC0.0330.0350.0311.13 [0.39–3.34]0.819
TT0.0310.033000.998
CI: confidence interval, HCC: hepatocellular carcinoma, OR: odds ratio, REF: reference.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Fischer, J.; Long, S.; Koukoulioti, E.; Müller, T.; Fueloep, B.; Heyne, R.; Eslam, M.; George, J.; Finkelmeier, F.; Waidmann, O.; et al. Association of Common Polymorphisms in the Interleukin-1 Beta Gene with Hepatocellular Carcinoma in Caucasian Patients with Chronic Hepatitis B. Pathogens 2023, 12, 54. https://doi.org/10.3390/pathogens12010054

AMA Style

Fischer J, Long S, Koukoulioti E, Müller T, Fueloep B, Heyne R, Eslam M, George J, Finkelmeier F, Waidmann O, et al. Association of Common Polymorphisms in the Interleukin-1 Beta Gene with Hepatocellular Carcinoma in Caucasian Patients with Chronic Hepatitis B. Pathogens. 2023; 12(1):54. https://doi.org/10.3390/pathogens12010054

Chicago/Turabian Style

Fischer, Janett, Shuang Long, Eleni Koukoulioti, Tobias Müller, Balazs Fueloep, Renate Heyne, Mohammed Eslam, Jacob George, Fabian Finkelmeier, Oliver Waidmann, and et al. 2023. "Association of Common Polymorphisms in the Interleukin-1 Beta Gene with Hepatocellular Carcinoma in Caucasian Patients with Chronic Hepatitis B" Pathogens 12, no. 1: 54. https://doi.org/10.3390/pathogens12010054

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop