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<article xml:lang="en" article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Molecular Medicine Reports</journal-id>
<journal-title-group>
<journal-title>Molecular Medicine Reports</journal-title></journal-title-group>
<issn pub-type="ppub">1791-2997</issn>
<issn pub-type="epub">1791-3004</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mmr.2013.1558</article-id>
<article-id pub-id-type="publisher-id">mmr-08-02-0613</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Correlation between interleukin-23 receptor gene polymorphisms and risk of hepatitis B virus infection in patients</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>PENG</surname><given-names>QILIU</given-names></name><xref rid="af1-mmr-08-02-0613" ref-type="aff">1</xref><xref rid="fn1-mmr-08-02-0613" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>QIN</surname><given-names>YANPING</given-names></name><xref rid="af1-mmr-08-02-0613" ref-type="aff">1</xref><xref rid="af2-mmr-08-02-0613" ref-type="aff">2</xref><xref rid="fn1-mmr-08-02-0613" ref-type="author-notes">&#x0002A;</xref></contrib>
<contrib contrib-type="author">
<name><surname>CHEN</surname><given-names>ZHIPING</given-names></name><xref rid="af3-mmr-08-02-0613" ref-type="aff">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>DENG</surname><given-names>YAN</given-names></name><xref rid="af1-mmr-08-02-0613" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>XU</surname><given-names>JUANJUAN</given-names></name><xref rid="af1-mmr-08-02-0613" ref-type="aff">1</xref></contrib>
<contrib contrib-type="author">
<name><surname>LI</surname><given-names>SHAN</given-names></name><xref rid="af1-mmr-08-02-0613" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-mmr-08-02-0613"/></contrib>
<contrib contrib-type="author">
<name><surname>QIN</surname><given-names>XUE</given-names></name><xref rid="af1-mmr-08-02-0613" ref-type="aff">1</xref><xref ref-type="corresp" rid="c1-mmr-08-02-0613"/></contrib></contrib-group>
<aff id="af1-mmr-08-02-0613">
<label>1</label>Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi 530021, P.R. China</aff>
<aff id="af2-mmr-08-02-0613">
<label>2</label>Department of Clinical Laboratory, Liuzhou Red Cross Hospital, Liuzhou, Guangxi 54001, P.R. China</aff>
<aff id="af3-mmr-08-02-0613">
<label>3</label>Department of Occupational Health and Environmental Health, School of Public Health at Guangxi Medical University, Nanning, Guangxi 530021, P.R. China</aff>
<author-notes>
<corresp id="c1-mmr-08-02-0613">Correspondence to: Dr Shan Li or Dr Xue Qin, Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi 530021, P.R. China, E-mail: <email>lis8858@126.com</email>, E-mail: <email>qinxue919@163.com</email></corresp><fn id="fn1-mmr-08-02-0613">
<label>&#x0002A;</label>
<p>Contributed equally</p></fn></author-notes>
<pub-date pub-type="ppub">
<month>8</month>
<year>2013</year></pub-date>
<pub-date pub-type="epub">
<day>26</day>
<month>06</month>
<year>2013</year></pub-date>
<volume>8</volume>
<issue>2</issue>
<fpage>613</fpage>
<lpage>620</lpage>
<history>
<date date-type="received">
<day>16</day>
<month>02</month>
<year>2013</year></date>
<date date-type="accepted">
<day>24</day>
<month>06</month>
<year>2013</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2013, Spandidos Publications</copyright-statement>
<copyright-year>2013</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<license-p>This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.</license-p></license></permissions>
<abstract>
<p>There is an increasing amount of evidence supporting the hypothesis that the pathological stage from hepatitis to hepatocellular carcinoma (HCC) is a chronic inflammatory process. Interleukin-23 (IL-23) is an important mediator and modulator of inflammation. Specific polymorphisms in the genes encoding subunits of the IL-23 receptor (IL-23R) have been consistently observed to be associated with chronic immune-mediated diseases. In the current study, these variants were hypothesized to affect the risk of hepatitis B virus infection in patients. Three polymorphisms in the <italic>IL-23R</italic> gene (rs10889677, rs1884444 and rs11465817) were examined in 84 cases of chronic hepatitis B (HBV), 67 cases of HBV-related liver cirrhosis, 89 cases of HBV-related HCC and 94 healthy controls using the polymerase chain reaction (PCR)-restriction fragment length polymorphism method and DNA sequencing. The results revealed that subjects with the TG genotype of rs1884444 appeared to have higher susceptibility to HCC compared with the TT genotype (adjusted odds ratio (OR), 2.86; 95&#x00025; confidence interval (CI), 1.39&#x02013;5.85; P&#x0003D;0.00). The rs1884444 G allele was associated with a significantly increased risk of HCC compared with the T allele (adjusted OR, 1.58; 95&#x00025; CI, 0.96&#x02013;2.60; P&#x0003D;0.07). The rs11465817 and rs10889677 polymorphisms of the <italic>IL-23R</italic> gene were not observed as being relevant to liver disease. These observations indicate that the genetic variants in the <italic>IL-23R</italic> gene may contribute to HCC development. Additional studies with larger sample sizes must be conducted to confirm the current observations.</p></abstract>
<kwd-group>
<kwd>interleukin-23 receptor</kwd>
<kwd>polymorphism</kwd>
<kwd>chronic hepatitis B</kwd>
<kwd>liver cirrhosis</kwd>
<kwd>hepatocellular carcinoma</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Hepatocellular carcinoma (HCC) is the most common type of malignant tumor and the leading cause of cancer-related mortality in the Guangxi Zhuang Autonomous Region of China (<xref rid="b1-mmr-08-02-0613" ref-type="bibr">1</xref>). Epidemiological observations have shown that hepatitis B virus (HBV) infection and exposure to aflatoxin B1 are two major etiological risk factors for the high prevalence of HCC in this area (<xref rid="b2-mmr-08-02-0613" ref-type="bibr">2</xref>&#x02013;<xref rid="b3-mmr-08-02-0613" ref-type="bibr">3</xref>). However, only a fraction of individuals who are hepatitis B surface antigen (HBsAg) carriers and have chronic aflatoxin exposure develop HCC later in life (<xref rid="b4-mmr-08-02-0613" ref-type="bibr">4</xref>). The exact mechanism of hepatocarcinogenesis is not well understood and the risk factors for HCC require further investigation.</p>
<p>Interleukin-23 (IL-23) is an inflammatory hemopoietic cytokine comprised of a heterodimer of p40/p19, which shares a common p40 subunit with IL-12 (<xref rid="b5-mmr-08-02-0613" ref-type="bibr">5</xref>). IL-23 is secreted predominantly by activated dendritic cells and phagocytic cells. Its main function is to induce T cells or dendritic cells to produce IL-17, IL-6 and IFN-&#x003B3;. The IL-23 receptor (IL-23R) complex is comprised of IL-23R and IL-12R&#x003B2;1, which is also a component of the IL-12 receptor. IL-23R is highly expressed on the surface of T cells, monocyte cells and natural killer T cells, and has been identified to be involved in several chronic inflammatory diseases (<xref rid="b6-mmr-08-02-0613" ref-type="bibr">6</xref>&#x02013;<xref rid="b7-mmr-08-02-0613" ref-type="bibr">7</xref>). The <italic>IL-23R</italic> gene is located on chromosome 1p31. Polymorphisms of the <italic>IL-23R</italic> gene have been reported to be associated with susceptibility to chronic inflammatory diseases, including inflammtory bowel disease (IBD) (<xref rid="b8-mmr-08-02-0613" ref-type="bibr">8</xref>&#x02013;<xref rid="b9-mmr-08-02-0613" ref-type="bibr">9</xref>), psoriasis (<xref rid="b10-mmr-08-02-0613" ref-type="bibr">10</xref>) and multiple sclerosis (<xref rid="b11-mmr-08-02-0613" ref-type="bibr">11</xref>). <italic>IL-23R</italic> gene polymorphisms have been found to be associated with gastric cancer (<xref rid="b12-mmr-08-02-0613" ref-type="bibr">12</xref>&#x02013;<xref rid="b13-mmr-08-02-0613" ref-type="bibr">13</xref>), esophageal cancer (<xref rid="b14-mmr-08-02-0613" ref-type="bibr">14</xref>), colorectal carcinoma (<xref rid="b15-mmr-08-02-0613" ref-type="bibr">15</xref>) and oral cancer (<xref rid="b16-mmr-08-02-0613" ref-type="bibr">16</xref>), indicating that <italic>IL-23R</italic> gene polymorphisms may represent one of the genetic factors contributing to the regulation of the IL-23 signaling pathway and thus potentially modulating susceptibility to inflammatory cancers. HCC is a typical inflammation-associated malignancy and the pathological stage from hepatitis to HCC is a chronic inflammatory process (<xref rid="b17-mmr-08-02-0613" ref-type="bibr">17</xref>). In the present study, a hospital-based case-control study was conducted to investigate whether <italic>IL-23R</italic> gene polymorphisms contribute to susceptibility to HBV-infected diseases in a Guangxi population in China.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Study populations</title>
<p>The current study was designed as a retrospective study. The study consisted of 84 patients with HBV-related HCC (73 males and 11 females; mean age, 49.5 years old), 57 patients with HBV-induced liver cirrhosis (LC; 44 males and 13 females; mean age, 46.0 years old) and 87 patients with chronic hepatitis B (CHB; 74 males and 13 females; mean age, 40.3 years old). Patients with HBV-related HCC had not undergone previous radiotherapy or chemotherapy. All patients with HBV-infected disease were consecutively selected from the First Affiliated Hospital of Guangxi Medical University (Guangxi, China) between January and July 2011. Control subjects were matched to the patients on the basis of age and were selected accordingly from a group of 97 control subjects (71 males and 23 females; mean age, 42.0 years old). Control subjects underwent a routine medical check-up in the outpatient clinic of the Department of Internal Medicine (First Affiliated Hospital of Guangxi Medical University, Guangxi, China) between January and July 2011. According to thorough clinical and laboratory evaluation, there was no personal or family history of cancer or other serious diseases observed.</p>
<p>Following a period of at least 6 months with elevated alanine aminotransferase or aspartate aminotransferase (&gt;40 IU/ml), CHB was defined as positive for HBsAg. LC was diagnosed based on pathological examinations or typical morphological observations from computed tomography (CT) or ultrasonography and laboratory features. In the HCC group, newly diagnosed HCC patients were included and patients with a medical history of HCC or other cancers were excluded. Diagnosis of HBV-related HCC was based on histological or cytological findings, or on elevated serum &#x003B1;-fetoprotein levels &gt;400 ng/ml combined with at least one positive liver image on CT, magnetic resonance imaging or ultrasonography. All patients included were further confirmed as HBsAg-positive, HBV core antibody-positive and hepatitis B e antigen or hepatitis B e antibody-positive for at least six months. All subjects were Chinese from the Guangxi District and provided written informed consent. The study was approved by the ethics committee of the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.</p></sec>
<sec>
<title>Single nucleotide polymorphism (SNP) selection and genotyping</title>
<p>rs10889677, rs1884444 and rs11465817 were selected as candidate SNPs for determining the association between <italic>IL-23R</italic> gene polymorphisms and HBV-infected patients, as earlier studies reported positive associations of these particular SNPs with specific inflammatory diseases and types of cancer (<xref rid="b12-mmr-08-02-0613" ref-type="bibr">12</xref>). Venous blood from each patient was collected into vacutainer tubes containing EDTA and stored at 4&#x000B0;C. Amplification of the target DNA was performed by polymerase chain reaction (PCR). Primer sequences and reaction conditions are presented in <xref rid="tI-mmr-08-02-0613" ref-type="table">Table I</xref>. The SNPs studied were genotyped by PCR-restriction fragment length polymorphism analysis. PCR products were visualized on a 2.0&#x00025; agarose gel and stained with ethidium bromide (Promega Corporation, Madison, WI, USA) to detect the quality and the quantity of the amplified products. Digestion products were visualized on a 3.0&#x00025; agarose gel and stained with ethidium bromide. Direct sequencing was also performed by Sangon Biotech Company (Shanghai, China) using randomly selected subjects (10&#x00025; of all samples) to validate the method used in this study and the results were 100&#x00025; concordant (<xref rid="f1-mmr-08-02-0613" ref-type="fig">Figs. 1</xref>&#x02013;<xref rid="f3-mmr-08-02-0613" ref-type="fig">3</xref>).</p></sec>
<sec>
<title>Statistical analysis</title>
<p>Demographic and clinical data among groups were compared using a &#x003C7;<sup>2</sup> test for categorical variables and Student&#x02019;s t-test for continuous variables. Hardy-Weinberg equilibrium was tested with a goodness of fit &#x003C7;<sup>2</sup> test with one degree of freedom to compare the observed genotype frequencies among the subjects with the expected genotype frequencies. Genotype and allele frequencies of <italic>IL-23R</italic> gene polymorphisms were compared among various groups using the &#x003C7;<sup>2</sup> test and Fisher&#x02019;s exact test when appropriate, and odds ratios (OR) and 95&#x00025; confidence intervals (CIs) were calculated by binary logistic regression and adjusted for age and gender to assess the relative risk conferred by a particular allele and genotype. The linkage disequilibrium (LD) between polymorphisms was quantified using Shi&#x02019;s standardized coefficient D&#x02032; (<xref rid="b18-mmr-08-02-0613" ref-type="bibr">18</xref>). Haplotypes and their frequencies were estimated based on a Bayesian algorithm using the Phase program (<xref rid="b19-mmr-08-02-0613" ref-type="bibr">19</xref>). The SPSS 13.0 software package (SPSS, Inc., Chicago, IL, USA) was used for all statistical analysis. All tests were two-tailed. P&lt;0.05 was considered to indicate a statistically significant difference.</p></sec></sec>
<sec sec-type="results">
<title>Results</title>
<sec>
<title>Clinical characteristics of the study participants</title>
<p>Results showed that the three candidate <italic>IL-23R</italic> genetic variants were in Hardy-Weinberg equilibrium in the patients and the control group. Demographic data of all subjects are presented in <xref rid="tII-mmr-08-02-0613" ref-type="table">Table II</xref>. There was no statistically significant difference in age between the case and control groups. However, a significant difference was observed in gender distribution between the HCC patients and controls.</p></sec>
<sec>
<title>Correlation between IL-23R polymorphisms and risk of CHB</title>
<p>Genotype and allele frequencies of the <italic>IL-23R</italic> rs10889677, rs1884444 and rs11465817 polymorphisms between CHB patients and healthy controls are presented in <xref rid="tIII-mmr-08-02-0613" ref-type="table">Table III</xref>. The genotype distributions of three polymorphisms between the CHB cases and healthy controls were in Hardy-Weinberg equilibrium. No significant differences were identified between the genotype and allele frequencies of the <italic>IL-23R</italic> rs10889677, rs1884444 and rs11465817 polymorphisms and CHB risk. Similarily, binary logistic regression analyses adjusted for age and gender did not reveal any significant difference between <italic>IL-23R</italic> rs10889677, rs1884444 and rs11465817 polymorphisms and CHB risk.</p></sec>
<sec>
<title>Correlation between IL-23R polymorphisms and risk of LC patients</title>
<p>Genotype and allele frequencies of the <italic>IL-23R</italic> rs10889677, rs1884444 and rs11465817 polymorphisms between LC patients and healthy controls are presented in <xref rid="tIV-mmr-08-02-0613" ref-type="table">Table IV</xref>. Genotype distributions of three polymorphisms in the LC cases and healthy controls were in Hardy-Weinberg equilibrium. No significant differences were identified between the genotype and allele frequencies of the <italic>IL-23R</italic> rs10889677, rs1884444 and rs11465817 polymorphisms and LC risk. Similarily, binary logistic regression analyses adjusted for age and gender did not show any significant difference between <italic>IL-23R</italic> rs10889677, rs1884444 and rs11465817 polymorphisms and LC risk.</p></sec>
<sec>
<title>Correlation between IL-23R polymorphisms and risk of HCC</title>
<p>Genotype and allele distributions of the <italic>IL-23R</italic> rs10889677, rs1884444 and rs11465817 polymorphisms between HCC patients and healthy controls are presented in <xref rid="tV-mmr-08-02-0613" ref-type="table">Table V</xref>. The observed genotype frequencies for three variants were all in Hardy-Weinberg equilibrium in the case group and controls. Results showed no significant differences between the genotype and allele frequencies of the <italic>IL-23R</italic> rs10889677 and rs11465817 polymorphisms and HCC risk. However, in the rs1884444 polymorphism, the frequencies of the TT, TG and GG genotypes were 63.8, 25.5 and 10.6&#x00025; in controls and were 45.2, 42.9 and 11.9&#x00025; in case groups, respectively. The frequencies of the T and G alleles were 76.6 and 23.4&#x00025; in controls, respectively and were 66.7 and 33.3&#x00025; in case groups, respectively. The results indicated that there were significant differences in the genotype and allele frequencies of the <italic>IL-23R</italic> rs1884444 polymorphism between HCC patients and healthy controls. The rs1884444 TG genotype was associated with a significantly increased risk of HCC as compared with the TT genotype (OR, 2.37; 95&#x00025; CI, 1.23&#x02013;4.57; P&#x0003D;0.009). The rs1884444 G allele was associated with a significantly increased risk of HCC as compared with the T allele (OR, 1.64, 95&#x00025; CI, 1.03&#x02013;2.61; P&#x0003D;0.037). In the binary logistic regression analysis adjusted for age and gender, the results showed that the rs1884444 TG genotype was significantly associated with increased risk of HCC when compared with the TT genotype (adjusted OR, 2.86; 95&#x00025; CI, 1.39&#x02013;5.85; P&#x0003D;0.00). Similarily, the rs1884444 G allele was associated with a trend towards increased risk of HCC when compared with the T allele (adjusted OR, 1.58; 95&#x00025; CI, 0.96&#x02013;2.60; P&#x0003D;0.07); however, this difference was not significant.</p></sec>
<sec>
<title>Haplotype analysis of IL-23R gene polymorphisms and HCC risk</title>
<p>Haplotype analyses were performed in HCC patients and healthy controls using the SHEsis software (<xref rid="b18-mmr-08-02-0613" ref-type="bibr">18</xref>) and the possible eight haplotype frequencies are presented in <xref rid="tVI-mmr-08-02-0613" ref-type="table">Table VI</xref>. Moderate to minor LD was observed between the alleles of SNPs rs1884444 and rs11465817 (D&#x02032;&#x0003D;0.164), rs1884444 and rs10889677 (D&#x02032;&#x0003D;0.145) and rs11465817 and rs10889677 (D&#x02032;&#x0003D;0.230). The results showed that the major ATA haplotype accounted for 41.1 and 41.0&#x00025; of these eight haplotypes in the cases and the controls, respectively. Using haplotype analyses, the AGC haplotype was observed to be associated with a significantly increased risk of HCC as compared with the ATA haplotype (OR, 2.71; 95&#x00025; CI, 1.06&#x02013;6.93; P&#x0003D;0.03).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>To the best of our knowledge, this is the first study to evaluate the association between the <italic>IL-23R</italic> gene polymorphisms and HCC risk in a Guangxi population in China. <italic>IL-23R</italic> rs1884444 T&gt;G polymorphism was observed to be significantly associated with HCC. The rs1884444 TG genotype was associated with a significantly increased risk of HCC compared with the rs1884444 TT genotypes (adjusted OR, 2.37; 95&#x00025;CI, 1.23&#x02013;4.57; P&#x0003D;0.00). The rs1884444 G allele was associated with a trend towards an increased risk effect of HCC as compared with the T allele; however, this difference was not significant (adjusted OR, 1.58; 95&#x00025; CI, 0.96&#x02013;2.60; P&#x0003D;0.07). The haplotype AGC was associated with a significantly increased risk of HCC as compared with the major ATA haplotype (OR, 2.71; 95&#x00025; CI, 1.06&#x02013;6.93; P&#x0003D;0.03). These results indicate that the <italic>IL-23R</italic> rs1884444 T&gt;G polymorphism increases HCC risk and may be used as genetic susceptibility markers for HCC.</p>
<p>Several epidemiological studies in diverse ethnic populations have previously been conducted and results consistent with the current study have not been observed. In the current study, the frequencies of the rs10889677 C, rs1884444 G and rs11465817 C alleles among the healthy controls were 0.234, 0.234 and 0.383, respectively, and these were similar to those frequencies observed in healthy Korean and Japanese populations (<xref rid="b20-mmr-08-02-0613" ref-type="bibr">20</xref>,<xref rid="b21-mmr-08-02-0613" ref-type="bibr">21</xref>); however, the frequencies were significantly lower than those of European Caucasians (0.689, 0.618 and 0.725, respectively) (<xref rid="b22-mmr-08-02-0613" ref-type="bibr">22</xref>). In addition, the rs10889677 A&gt;C, rs1884444 T&gt;G and rs11465817 A&gt;C polymorphisms were observed in moderate-to-minor LD. Major haplotype frequency of the ATA among the controls in the present study was 0.410, which was significantly higher than those of a study performed in Caucasians (0.213) (<xref rid="b23-mmr-08-02-0613" ref-type="bibr">23</xref>), indicating that the distribution of <italic>IL-23R</italic> gene frequencies and haplotypes may vary among ethnic groups.</p>
<p>HCC is a typical inflammation-related malignancy (<xref rid="b24-mmr-08-02-0613" ref-type="bibr">24</xref>). In addition, increasing evidence indicates that inflammation is important in the process of hepatocarcinogenesis (<xref rid="b25-mmr-08-02-0613" ref-type="bibr">25</xref>&#x02013;<xref rid="b26-mmr-08-02-0613" ref-type="bibr">26</xref>). IL-23 is a member of the IL-12 cytokine family that stimulates memory CD4<sup>&#x0002B;</sup> T cells to produce interferon-&#x003B3; and to promote the development of distinctive Th17 cells (<xref rid="b27-mmr-08-02-0613" ref-type="bibr">27</xref>). Studies have indicated that IL-23 may enhance the proliferation of memory T cells and the production of interferon-&#x003B3; by activated T cells (<xref rid="b5-mmr-08-02-0613" ref-type="bibr">5</xref>), indicating a role for IL-23 in cell-mediated antitumor immunity. IL-23R is the initial sensor of the IL-23 signal. It is also the determinant of Th17 cell expansion and in turn, serves as an important gate for the Th17-cell-mediated autoimmune responses. Due to the biological functions of IL-23R, this molecule has been hypothesized to be involved in the development of cancer and the associated complications. In agreement with this hypothesis, mice lacking <italic>IL-23</italic> p19 display resistance to endogenous tumor formation when challenged in a chemical carcinogenesis protocol (<xref rid="b28-mmr-08-02-0613" ref-type="bibr">28</xref>).</p>
<p>The <italic>IL-23R</italic> gene is located on chromosome 1p31. A number of studies have been conducted to investigate the associations between <italic>IL-23R</italic> gene polymorphisms and cancer risk (<xref rid="b12-mmr-08-02-0613" ref-type="bibr">12</xref>,<xref rid="b14-mmr-08-02-0613" ref-type="bibr">14</xref>,<xref rid="b29-mmr-08-02-0613" ref-type="bibr">29</xref>). Chen <italic>et al</italic>(<xref rid="b13-mmr-08-02-0613" ref-type="bibr">13</xref>) observed that the nonsynonymous SNP rs1884444 of the <italic>IL-23R</italic> gene may modify the risk of gastric cancer, particularly in intestinal types of gastric cancer. In addition, Zhang <italic>et al</italic>(<xref rid="b29-mmr-08-02-0613" ref-type="bibr">29</xref>) previously indicated that <italic>IL-23R</italic> polymorphisms may be important in the susceptibility and prognosis of ovarian cancer and Chu <italic>et al</italic>(<xref rid="b14-mmr-08-02-0613" ref-type="bibr">14</xref>) hypothesized that the <italic>IL-23R</italic> rs6682925 and rs1884444 variants affect esophageal cancer susceptibility through modulation of IL-23R biological activity. These results are consistent with the current data. In the current study, the rs1884444 TG genotype was associated with a significantly increased risk of HCC as compared with the TT genotype (adjusted OR, 2.37; 95&#x00025;CI, 1.23&#x02013;4.57; P&#x0003D;0.00). In the binary logistic regression analysis, rs1884444 G allele levels were insignificant when compared with the T allele (adjusted OR, 1.58; 95&#x00025; CI, 0.96&#x02013;2.60; P&#x0003D;0.07), which may be attributed to the fact that the limited sample size prevented the analysis from reaching a significant P-value. The rs1884444 T&gt;G polymorphism is located at exon 2 of the <italic>IL-23R</italic>, which is responsible for the signal peptide of <italic>IL-23R</italic>(<xref rid="b30-mmr-08-02-0613" ref-type="bibr">30</xref>). Thus far, the exact biological mechanism of the variant on HCC carcinogenesis has not been elucidated. Notably, according to the web-based SNP analysis tool, PupaSuite3, the T to G base change of rs1884444 may disrupt an exonic splicing enhancer, resulting in exon skipping, malformation or transcript alternative splicing. Another possible explanation is that this polymorphism results in an amino acid change in codon 3 (His&gt;Gln) and may affect the ligand receptor binding specificity and affinity, modulating the pro-inflammatory effect by Th17 cells and may be involved in the development of HCC. However, these hypotheses are based on postulations or predictions and require confirmation by biological assays in future studies.</p>
<p>Haplotypes are a set of closely linked genetic markers present on one chromosome which tend to be inherited together and appear frequently in a block pattern owing to the presence of LD (<xref rid="b31-mmr-08-02-0613" ref-type="bibr">31</xref>). In the current study, the AGC haplotype was observed to be significantly higher in the HCC patients than in controls when compared with the ATA haplotype (P&#x0003D;0.03). It is possible that a higher prevalence of the AGC haplotype in the <italic>IL-23R</italic> gene may modulate the expression of <italic>IL-23R</italic>, resulting in downregulation of the Th17 cell-mediated immune response and escape of tumor cells from immune surveillance. The current results indicate that the GCC haplotype of <italic>IL-23R</italic> gene may play a facilitative role in the development of HCC.</p>
<p>In summary, the rs1884444 polymorphism of the <italic>IL-23R</italic> gene was observed to be significantly correlated with the risk of HCC. These results indicate that the <italic>IL-23R</italic> gene may contribute to an inherited predisposition to HCC. Additional studies with larger sample sizes must be performed to confirm the current observations in diverse ethnic populations.</p></sec></body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term id="G1">HBV</term>
<def>
<p>hepatitis B virus</p></def></def-item>
<def-item>
<term id="G2">CHB</term>
<def>
<p>chronic hepatitis B</p></def></def-item>
<def-item>
<term id="G3">LC</term>
<def>
<p>liver cirrhosis</p></def></def-item>
<def-item>
<term id="G4">HCC</term>
<def>
<p>hepatocellular carcinoma</p></def></def-item>
<def-item>
<term id="G5">IL-23R</term>
<def>
<p>interleukin-23 receptor</p></def></def-item>
<def-item>
<term id="G6">OR</term>
<def>
<p>odds ratio</p></def></def-item>
<def-item>
<term id="G7">95&#x00025; CI</term>
<def>
<p>95&#x00025; confidence interval</p></def></def-item>
<def-item>
<term id="G8">SNP</term>
<def>
<p>single nucleotide polymorphism</p></def></def-item>
<def-item>
<term id="G9">PCR</term>
<def>
<p>polymerase chain reaction</p></def></def-item></def-list></glossary>
<ref-list>
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<floats-group>
<fig id="f1-mmr-08-02-0613" position="float">
<label>Figure 1</label>
<caption>
<p>Sequencing map of the genotype for the <italic>IL-23R</italic> rs10889677 polymorphism. Arrow in parts A-C indicates CC, AC and AA genotypes, respectively. <italic>IL</italic>-<italic>23R</italic>, interleukin-23 receptor.</p></caption>
<graphic xlink:href="MMR-08-02-0613-g00.gif"/></fig>
<fig id="f2-mmr-08-02-0613" position="float">
<label>Figure 2</label>
<caption>
<p>Sequencing map of the genotype for the <italic>IL-23R</italic> rs1884444 polymorphism. Arrow in parts A-C indicates GG, TG and TT genotypes, respectively. <italic>IL</italic>-<italic>23R</italic>, interleukin-23 receptor.</p></caption>
<graphic xlink:href="MMR-08-02-0613-g01.gif"/></fig>
<fig id="f3-mmr-08-02-0613" position="float">
<label>Figure 3</label>
<caption>
<p>Sequencing map of the genotype for the <italic>IL-23R</italic> rs11465817 polymorphism. Arrow in parts A-C indicates CC, AC and AA genotypes, respectively. <italic>IL</italic>-<italic>23R</italic>, interleukin-23 receptor.</p></caption>
<graphic xlink:href="MMR-08-02-0613-g02.gif"/></fig>
<table-wrap id="tI-mmr-08-02-0613" position="float">
<label>Table I</label>
<caption>
<p>Primer sequences and reaction conditions for genotyping IL-23 gene polymorphisms.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Polymorphism</th>
<th align="center" valign="middle">Primer sequence</th>
<th align="center" valign="middle">T<sub>a</sub>, &#x000B0;C</th>
<th align="center" valign="middle">Restriction enzyme</th>
<th align="center" valign="middle">Product size, bp</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">rs10889677</td>
<td align="left" valign="top">F: 5&#x02032;-AGGGGATTGCTGGGCCATAT-3&#x02032;</td>
<td align="center" valign="top">61.0</td>
<td align="left" valign="top"><italic>MnI</italic>I</td>
<td align="left" valign="top">A: 216</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">R: 5&#x02032;-TGTGCCTGTATGTGGACCA-3&#x02032;</td>
<td align="center" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">C: 154&#x0002B;62</td></tr>
<tr>
<td align="left" valign="top">rs1884444</td>
<td align="left" valign="top">F: 5&#x02032;-TCTTAGGGAAAAATGTTATGCTTTTT-3&#x02032;</td>
<td align="center" valign="top">56.0</td>
<td align="left" valign="top"><italic>Hae</italic>III</td>
<td align="left" valign="top">T: 132</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">R: 5&#x02032;-GCATCCCATTGAATAGTGGC-3&#x02032;</td>
<td align="center" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">G: 106&#x0002B;26</td></tr>
<tr>
<td align="left" valign="top">rs11465817</td>
<td align="left" valign="top">F: 5&#x02032;-CATTAAGTAAGAGATGAAAACTTTGG-3&#x02032;</td>
<td align="center" valign="top">54.0</td>
<td align="left" valign="top"><italic>Hae</italic>III</td>
<td align="left" valign="top">A: 136</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top">R: 5&#x02032;-CTGTAGTGAGCTGTGACCATG-3&#x02032;</td>
<td align="center" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">C: 117&#x0002B;19</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-mmr-08-02-0613">
<p>T<sub>a</sub>, annealing temperature.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tII-mmr-08-02-0613" position="float">
<label>Table II</label>
<caption>
<p>Clinical characteristics of the study population.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle">Variable</th>
<th align="center" valign="middle">Controls</th>
<th align="center" valign="middle">CHB patients</th>
<th align="center" valign="middle">LC patients</th>
<th align="center" valign="middle">HCC patients</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Overall</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top">87</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">84</td></tr>
<tr>
<td colspan="5" align="left" valign="top">Gender, n (&#x00025;)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="center" valign="top">71 (75.5)</td>
<td align="center" valign="top">74 (85.1)</td>
<td align="center" valign="top">44 (77.2)</td>
<td align="center" valign="top">73 (86.9)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="center" valign="top">23 (24.5)</td>
<td align="center" valign="top">13 (14.9)</td>
<td align="center" valign="top">13 (22.8)</td>
<td align="center" valign="top">11 (13.1)</td></tr>
<tr>
<td align="left" valign="top">P-value<xref rid="tfn2-mmr-08-02-0613" ref-type="table-fn">a</xref></td>
<td align="center" valign="top"/>
<td align="center" valign="top">0.109</td>
<td align="center" valign="top">0.816</td>
<td align="center" valign="top">0.054</td></tr>
<tr>
<td align="left" valign="top">Age (years)<xref rid="tfn3-mmr-08-02-0613" ref-type="table-fn">b</xref></td>
<td align="center" valign="top">42.0&#x000B1;10.8</td>
<td align="center" valign="top">40.3&#x000B1;11.9</td>
<td align="center" valign="top">46.0&#x000B1;12.6</td>
<td align="center" valign="top">49.5&#x000B1;10.3</td></tr>
<tr>
<td align="left" valign="top">P-value<xref rid="tfn2-mmr-08-02-0613" ref-type="table-fn">a</xref></td>
<td align="center" valign="top"/>
<td align="center" valign="top">0.269</td>
<td align="center" valign="top">0.152</td>
<td align="center" valign="top">0.471</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-mmr-08-02-0613">
<label>a</label>
<p>Compared with controls and</p></fn><fn id="tfn3-mmr-08-02-0613">
<label>b</label>
<p>mean&#x000B1;SD.</p></fn><fn id="tfn4-mmr-08-02-0613">
<p>HCC, hepatocellular carcinoma; CHB, chronic hepatitis B; LC, liver cirrhosis.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-mmr-08-02-0613" position="float">
<label>Table III</label>
<caption>
<p>Distribution of alleles and genotypes of three SNPs in the <italic>IL-23R</italic> gene and their association with CHB risk.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Polymorphism</th>
<th align="center" valign="bottom">CHB patients, n&#x0003D;87 (&#x00025;)</th>
<th align="center" valign="bottom">Control, n&#x0003D;94 (&#x00025;)</th>
<th align="center" valign="bottom">Crude OR (95&#x00025; CI)</th>
<th align="center" valign="bottom">Adjusted OR (95&#x00025; CI)<xref rid="tfn5-mmr-08-02-0613" ref-type="table-fn">a</xref></th>
<th align="center" valign="bottom">Adjusted P-value<xref rid="tfn5-mmr-08-02-0613" ref-type="table-fn">a</xref></th></tr></thead>
<tbody>
<tr>
<td colspan="6" align="left" valign="top">rs10889677</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AA</td>
<td align="right" valign="top">57 (65.5)</td>
<td align="right" valign="top">55 (58.5)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AC</td>
<td align="right" valign="top">25 (28.7)</td>
<td align="right" valign="top">34 (36.2)</td>
<td align="left" valign="top">0.71 (0.38&#x02013;1.34)</td>
<td align="left" valign="top">0.74 (0.39&#x02013;1.40)</td>
<td align="center" valign="top">0.35</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;CC</td>
<td align="right" valign="top">5 (5.7)</td>
<td align="right" valign="top">5 (5.3)</td>
<td align="left" valign="top">0.97 (0.27&#x02013;3.52)</td>
<td align="left" valign="top">0.93 (0.25&#x02013;3.40)</td>
<td align="center" valign="top">0.91</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;A</td>
<td align="right" valign="top">139 (79.9)</td>
<td align="right" valign="top">144 (76.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;C</td>
<td align="right" valign="top">35 (20.1)</td>
<td align="right" valign="top">44 (23.4)</td>
<td align="left" valign="top">0.82 (0.50&#x02013;1.36)</td>
<td align="left" valign="top">0.83 (0.5&#x02013;1.37)</td>
<td align="center" valign="top">0.46</td></tr>
<tr>
<td colspan="6" align="left" valign="top">rs1884444</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;TT</td>
<td align="right" valign="top">45 (51. 7)</td>
<td align="right" valign="top">60 (63.8)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;TG</td>
<td align="right" valign="top">33 (37.9)</td>
<td align="right" valign="top">24 (25.5)</td>
<td align="left" valign="top">1.83 (0.95&#x02013;3.52)</td>
<td align="left" valign="top">1.82 (0.93&#x02013;3.53)</td>
<td align="center" valign="top">0.08</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;GG</td>
<td align="right" valign="top">9 (10.3)</td>
<td align="right" valign="top">10 (10.6)</td>
<td align="left" valign="top">1.20 (0.45&#x02013;3.20)</td>
<td align="left" valign="top">1.21 (0.45&#x02013;3.24)</td>
<td align="center" valign="top">0.71</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;T</td>
<td align="right" valign="top">123 (70.7)</td>
<td align="right" valign="top">144 (76.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;G</td>
<td align="right" valign="top">51 (29.3)</td>
<td align="right" valign="top">44 (23.4)</td>
<td align="left" valign="top">1.36 (0.85&#x02013;2.17)</td>
<td align="left" valign="top">1.34 (0.83&#x02013;2.14)</td>
<td align="center" valign="top">0.23</td></tr>
<tr>
<td colspan="6" align="left" valign="top">rs11465817</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AA</td>
<td align="right" valign="top">34 (39.1)</td>
<td align="right" valign="top">41 (43.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AC</td>
<td align="right" valign="top">41 (47.1)</td>
<td align="right" valign="top">34 (36.2)</td>
<td align="left" valign="top">1.45 (0.77&#x02013;2.77)</td>
<td align="left" valign="top">1.39 (0.73&#x02013;2.67)</td>
<td align="center" valign="top">0.32</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;CC</td>
<td align="right" valign="top">12 (13.8)</td>
<td align="right" valign="top">19 (20.2)</td>
<td align="left" valign="top">0.76 (0.32&#x02013;1.79)</td>
<td align="left" valign="top">0.73 (0.31&#x02013;1.75)</td>
<td align="center" valign="top">0.48</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;A</td>
<td align="right" valign="top">109 (62.4)</td>
<td align="right" valign="top">116 (61.7)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;C</td>
<td align="right" valign="top">65 (37.4)</td>
<td align="right" valign="top">72 (38.3)</td>
<td align="left" valign="top">0.96 (0.63&#x02013;1.47)</td>
<td align="left" valign="top">0.97 (0.63&#x02013;1.49)</td>
<td align="center" valign="top">0.89</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn5-mmr-08-02-0613">
<label>a</label>
<p>Adjusted for age and gender by binary logistic regression model.</p></fn><fn id="tfn6-mmr-08-02-0613">
<p>HCC, hepatocellular carcinoma; OR, odds ratio; CI, confidence interval; IL-23R, interleukin-23 receptor; CHB, chronic hepatitis B; SNP, single nucleotide polymorphism.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIV-mmr-08-02-0613" position="float">
<label>Table IV</label>
<caption>
<p>Distribution of alleles and genotypes of three SNPs in the <italic>IL-23R</italic> gene and their association with LC risk.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Polymorphism</th>
<th align="center" valign="bottom">LC patients, n&#x0003D;57 (&#x00025;)</th>
<th align="center" valign="bottom">Control, n&#x0003D;94 (&#x00025;)</th>
<th align="center" valign="bottom">Crude OR (95&#x00025; CI)</th>
<th align="center" valign="bottom">Adjusted OR (95&#x00025; CI)<xref rid="tfn7-mmr-08-02-0613" ref-type="table-fn">a</xref></th>
<th align="center" valign="bottom">Adjusted P-value<xref rid="tfn7-mmr-08-02-0613" ref-type="table-fn">a</xref></th></tr></thead>
<tbody>
<tr>
<td colspan="6" align="left" valign="top">rs10889677</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AA</td>
<td align="right" valign="top">40 (70.2)</td>
<td align="center" valign="top">55 (58.5)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AC &#x0002B; CC</td>
<td align="right" valign="top">17 (29.8)</td>
<td align="center" valign="top">39 (41.5)</td>
<td align="left" valign="top">0.60 (0.30&#x02013;1.21)</td>
<td align="left" valign="top">0.57 (0.28&#x02013;1.16)</td>
<td align="center" valign="top">0.12</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;A</td>
<td align="right" valign="top">97 (85.1)</td>
<td align="center" valign="top">144 (76.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;C</td>
<td align="right" valign="top">17 (14.9)</td>
<td align="center" valign="top">44 (23.4)</td>
<td align="left" valign="top">0.57 (0.31&#x02013;1.06)</td>
<td align="left" valign="top">0.55 (0.30&#x02013;1.03)</td>
<td align="center" valign="top">0.06</td></tr>
<tr>
<td colspan="6" align="left" valign="top">rs1884444</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;TT</td>
<td align="right" valign="top">34 (59.6)</td>
<td align="center" valign="top">60 (63.8)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;TG</td>
<td align="right" valign="top">15 (26.3)</td>
<td align="center" valign="top">24 (25.5)</td>
<td align="left" valign="top">1.10 (0.51&#x02013;2.38)</td>
<td align="left" valign="top">1.10 (0.50&#x02013;2.43)</td>
<td align="center" valign="top">0.81</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;GG</td>
<td align="right" valign="top">8 (14.0)</td>
<td align="center" valign="top">10 (10.6)</td>
<td align="left" valign="top">1.41 (0.51&#x02013;3.92)</td>
<td align="left" valign="top">1.45 (0.51&#x02013;4.12)</td>
<td align="center" valign="top">0.49</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;T</td>
<td align="right" valign="top">83 (72.8)</td>
<td align="center" valign="top">144 (76.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;G</td>
<td align="right" valign="top">31 (27.5)</td>
<td align="center" valign="top">44 (23.4)</td>
<td align="left" valign="top">1.22 (0.72&#x02013;2.08)</td>
<td align="left" valign="top">1.21 (0.70&#x02013;2.08)</td>
<td align="center" valign="top">0.50</td></tr>
<tr>
<td colspan="6" align="left" valign="top">rs11465817</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AA</td>
<td align="right" valign="top">16 (28.1)</td>
<td align="center" valign="top">41 (43.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AC</td>
<td align="right" valign="top">28 (49.1)</td>
<td align="center" valign="top">34 (36.2)</td>
<td align="left" valign="top">2.11 (0.98&#x02013;4.53)</td>
<td align="left" valign="top">1.96 (0.90&#x02013;4.26)</td>
<td align="center" valign="top">0.09</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;CC</td>
<td align="right" valign="top">13 (22.8)</td>
<td align="center" valign="top">19 (20.2)</td>
<td align="left" valign="top">1.75 (0.70&#x02013;4.36)</td>
<td align="left" valign="top">1.64 (0.65&#x02013;4.15)</td>
<td align="center" valign="top">0.30</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;A</td>
<td align="right" valign="top">60 (52.6)</td>
<td align="center" valign="top">116 (61.7)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;C</td>
<td align="right" valign="top">54 (47.4)</td>
<td align="center" valign="top">72 (38.3)</td>
<td align="left" valign="top">1.45 (0.91&#x02013;2.32)</td>
<td align="left" valign="top">1.36 (0.84&#x02013;2.20)</td>
<td align="center" valign="top">0.21</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn7-mmr-08-02-0613">
<label>a</label>
<p>Adjusted for age and gender by binary logistic regression model.</p></fn><fn id="tfn8-mmr-08-02-0613">
<p>HCC, hepatocellular carcinoma; OR, odds ratio; CI, confidence interval; IL-23R, interleukin-23 receptor; LC, liver cirrhosis; SNP, single nucleotide polymorphism.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tV-mmr-08-02-0613" position="float">
<label>Table V</label>
<caption>
<p>Distribution of alleles and genotypes of three SNPs in the <italic>IL-23R</italic> gene and their association with HCC risk.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Polymorphism</th>
<th align="center" valign="bottom">HCC patients, n&#x0003D;84 (&#x00025;)</th>
<th align="center" valign="bottom">Controls, n&#x0003D;94 (&#x00025;)</th>
<th align="center" valign="bottom">Crude OR (95&#x00025; CI)</th>
<th align="center" valign="bottom">Adjusted OR (95&#x00025; CI)<xref rid="tfn9-mmr-08-02-0613" ref-type="table-fn">a</xref></th>
<th align="center" valign="bottom">Adjusted P-value<xref rid="tfn9-mmr-08-02-0613" ref-type="table-fn">a</xref></th></tr></thead>
<tbody>
<tr>
<td colspan="6" align="left" valign="top">rs10889677</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AA</td>
<td align="center" valign="top">55 (65.5)</td>
<td align="center" valign="top">55 (58.5)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AC</td>
<td align="center" valign="top">26 (31.0)</td>
<td align="center" valign="top">34 (36.2)</td>
<td align="left" valign="top">0.77 (0.41&#x02013;1.44)</td>
<td align="left" valign="top">0.85 (0.43&#x02013;1.67)</td>
<td align="center" valign="top">0.63</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;CC</td>
<td align="center" valign="top">3 (3.6)</td>
<td align="center" valign="top">5 (5.3)</td>
<td align="left" valign="top">0.60 (0.14&#x02013;2.63)</td>
<td align="left" valign="top">0.66 (0.14&#x02013;3.06)</td>
<td align="center" valign="top">0.60</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;A</td>
<td align="center" valign="top">136 (81.0)</td>
<td align="center" valign="top">144 (76.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;C</td>
<td align="center" valign="top">32 (19.0)</td>
<td align="center" valign="top">44 (23.4)</td>
<td align="left" valign="top">0.77 (0.46&#x02013;1.29)</td>
<td align="left" valign="top">0.83 (0.48&#x02013;1.42)</td>
<td align="center" valign="top">0.50</td></tr>
<tr>
<td colspan="6" align="left" valign="top">rs1884444</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;TT</td>
<td align="center" valign="top">38 (45.2)</td>
<td align="center" valign="top">60 (63.8)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;TG</td>
<td align="center" valign="top">36 (42.9)</td>
<td align="center" valign="top">24 (25.5)</td>
<td align="left" valign="top">2.37 (1.23&#x02013;4.57)</td>
<td align="left" valign="top">2.86 (1.39&#x02013;5.85)</td>
<td align="center" valign="top">0.00</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;GG</td>
<td align="center" valign="top">10 (11.9)</td>
<td align="center" valign="top">10 (10.6)</td>
<td align="left" valign="top">1.58 (0.60&#x02013;4.15)</td>
<td align="left" valign="top">1.24 (0.43&#x02013;3.51)</td>
<td align="center" valign="top">0.69</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;T</td>
<td align="center" valign="top">112 (66.7)</td>
<td align="center" valign="top">144 (76.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;G</td>
<td align="center" valign="top">56 (33.3)</td>
<td align="center" valign="top">44 (23.4)</td>
<td align="left" valign="top">1.64 (1.03&#x02013;2.61)</td>
<td align="left" valign="top">1.58 (0.96&#x02013;2.60)</td>
<td align="center" valign="top">0.07</td></tr>
<tr>
<td colspan="6" align="left" valign="top">rs11465817</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Genotype</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AA</td>
<td align="center" valign="top">42 (50.0)</td>
<td align="center" valign="top">41 (43.6)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;AC</td>
<td align="center" valign="top">26 (31.0)</td>
<td align="center" valign="top">34 (36.2)</td>
<td align="left" valign="top">0.75 (0.38&#x02013;1.46)</td>
<td align="left" valign="top">0.72 (0.34&#x02013;1.50)</td>
<td align="center" valign="top">0.38</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;CC</td>
<td align="center" valign="top">16 (19.0)</td>
<td align="center" valign="top">19 (20.2)</td>
<td align="left" valign="top">0.82 (0.37&#x02013;1.82)</td>
<td align="left" valign="top">0.99 (0.42&#x02013;2.31)</td>
<td align="center" valign="top">0.97</td></tr>
<tr>
<td colspan="6" align="left" valign="top">&#x02003;Allele</td></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;A</td>
<td align="center" valign="top">110 (65.5)</td>
<td align="center" valign="top">116 (61.7)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">&#x02003;&#x02003;C</td>
<td align="center" valign="top">58 (34.5)</td>
<td align="center" valign="top">72 (38.3)</td>
<td align="left" valign="top">0.85 (0.55&#x02013;1.31)</td>
<td align="left" valign="top">0.92 (0.58&#x02013;1.46)</td>
<td align="center" valign="top">0.72</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn9-mmr-08-02-0613">
<label>a</label>
<p>Adjusted for age and gender by binary logistic regression model.</p></fn><fn id="tfn10-mmr-08-02-0613">
<p>HCC, hepatocellular carcinoma; OR, odds ratio; CI, confidence interval; IL-23R, interleukin-23 receptor; SNP, single nucleotide polymorphism.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tVI-mmr-08-02-0613" position="float">
<label>Table VI</label>
<caption>
<p>Frequencies of the haplotypes formed by rs10889677, rs1884444 and rs11465817 SNPs in HCC patients and controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Haplotype</th>
<th align="center" valign="bottom">HCC cases, 2n&#x0003D;168 (&#x00025;)</th>
<th align="center" valign="bottom">Controls, 2n&#x0003D;188 (&#x00025;)</th>
<th align="center" valign="bottom">OR (95&#x00025; CI)</th>
<th align="center" valign="bottom">P-value</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">ATA</td>
<td align="center" valign="top">69 (41.1)</td>
<td align="center" valign="top">77 (41.0)</td>
<td align="left" valign="top">1.00 (Ref)</td>
<td align="center" valign="top"/></tr>
<tr>
<td align="left" valign="top">ATC</td>
<td align="center" valign="top">24 (14.3)</td>
<td align="center" valign="top">39 (20.7)</td>
<td align="left" valign="top">0.69 (0.38&#x02013;1.26)</td>
<td align="center" valign="top">0.22</td></tr>
<tr>
<td align="left" valign="top">AGA</td>
<td align="center" valign="top">25 (14.9)</td>
<td align="center" valign="top">20 (10.6)</td>
<td align="left" valign="top">1.40 (0.71&#x02013;2.73)</td>
<td align="center" valign="top">0.33</td></tr>
<tr>
<td align="left" valign="top">AGC</td>
<td align="center" valign="top">17 (10.1)</td>
<td align="center" valign="top">7 (3.7)</td>
<td align="left" valign="top">2.71 (1.06&#x02013;6.93)</td>
<td align="center" valign="top">0.03<xref rid="tfn11-mmr-08-02-0613" ref-type="table-fn">a</xref></td></tr>
<tr>
<td align="left" valign="top">CTA</td>
<td align="center" valign="top">10 (6.0)</td>
<td align="center" valign="top">13 (6.9)</td>
<td align="left" valign="top">0.86 (0.35&#x02013;2.08)</td>
<td align="center" valign="top">0.74</td></tr>
<tr>
<td align="left" valign="top">CTC</td>
<td align="center" valign="top">8 (4.8)</td>
<td align="center" valign="top">15 (8.0)</td>
<td align="left" valign="top">0.60 (0.24&#x02013;1.49)</td>
<td align="center" valign="top">0.26</td></tr>
<tr>
<td align="left" valign="top">CGA</td>
<td align="center" valign="top">7 (4.2)</td>
<td align="center" valign="top">6 (3.2)</td>
<td align="left" valign="top">1.30 (0.42&#x02013;4.06)</td>
<td align="center" valign="top">0.65</td></tr>
<tr>
<td align="left" valign="top">CGC</td>
<td align="center" valign="top">8 (4.8)</td>
<td align="center" valign="top">11 (5.9)</td>
<td align="left" valign="top">0.81 (0.31&#x02013;2.13)</td>
<td align="center" valign="top">0.67</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn11-mmr-08-02-0613">
<label>a</label>
<p>Compared with ATA haplotype.</p></fn><fn id="tfn12-mmr-08-02-0613">
<p>HCC, hepatocellular carcinoma; OR, odds ratio; CI, confidence interval; SNP, single nucleotide polymorphism.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
