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<article xml:lang="en" article-type="research-article">
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title></journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3892/mco.2014.296</article-id>
<article-id pub-id-type="publisher-id">mco-02-04-0501</article-id>
<article-categories>
<subj-group>
<subject>Articles</subject></subj-group></article-categories>
<title-group>
<article-title>Association between vascular endothelial growth factor gene polymorphisms and bladder cancer risk</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>YANG</surname><given-names>YANFENG</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>ZHANG</surname><given-names>XUEPEI</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>SONG</surname><given-names>DONGKUI</given-names></name></contrib>
<contrib contrib-type="author">
<name><surname>WEI</surname><given-names>JINXING</given-names></name><xref ref-type="corresp" rid="c1-mco-02-04-0501"/></contrib>
<aff id="af1-mco-02-04-0501">Department of Urology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450000, P.R. China</aff></contrib-group>
<author-notes>
<corresp id="c1-mco-02-04-0501">Correspondence to: Dr Jinxing Wei, Department of Urology, The First Affiliated Hospital of Zhengzhou University, 1 Jianshe East Road, Zhengzhou, Henan 450000, P.R. China, E-mail: <email>weijingxing2001@outlook.com</email></corresp></author-notes>
<pub-date pub-type="ppub">
<month>7</month>
<year>2014</year></pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>05</month>
<year>2014</year></pub-date>
<volume>2</volume>
<issue>4</issue>
<fpage>501</fpage>
<lpage>505</lpage>
<history>
<date date-type="received">
<day>30</day>
<month>10</month>
<year>2013</year></date>
<date date-type="accepted">
<day>09</day>
<month>01</month>
<year>2014</year></date></history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2014, Spandidos Publications</copyright-statement>
<copyright-year>2014</copyright-year></permissions>
<abstract>
<p>Vascular endothelial growth factor (VEGF) gene polymorphisms are associated with susceptibility to a number of cancers. The present case-controlled study aimed to investigate the correlation between VEGF gene polymorphisms and the risk of bladder cancer. The effects of VEGF polymorphisms were investigated in patients with bladder cancer and healthy controls in our hospital between May, 2008 and May, 2013. Peripheral blood samples were obtained from 480 patients with bladder cancer and 420 healthy controls. The polymerase chain reaction-restriction fragment length polymorphism technique was used to detect three VEGF gene polymorphisms (rs3025039 C/T, rs833052 C/A and rs1570360 G/A) in these subjects. The genotype and allele frequencies were also investigated in order to determine their association with stage, grade and histological type of bladder cancer, as well as smoking status. Our results suggested that the frequency of the rs833052 AA genotype was significantly higher in patients with bladder cancer &#x0005B;odds ratio (OR)&#x0003D;1.75; 95&#x00025; confidence interval (CI): 1.05&#x02013;2.92; P&#x0003D;0.03&#x0005D; compared to that in healthy controls. There was no significant correlation between the rs833052 AA genotype and bladder cancer stage, grade or histological type, whereas smoking was identified as a risk factor for bladder cancer in the included patients (OR&#x0003D;1.48; 95&#x00025; CI: 1.13&#x02013;1.93; P&#x0003D;0.004). The rs3025039 and rs1570360 gene polymorphisms were not found to be correlated with the risk of bladder cancer or its progression. In conclusion, our results suggested that the VEGF rs833052 C/A polymorphism may be associated with a modest increase in the risk of bladder cancer in Chinese individuals.</p></abstract>
<kwd-group>
<kwd>vascular endothelial growth factor</kwd>
<kwd>single-nucleotide polymorphism</kwd>
<kwd>bladder cancer</kwd>
<kwd>polymerase chain reaction restriction-fragment length polymorphism</kwd>
<kwd>case-control study</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>Introduction</title>
<p>Urinary bladder cancer is the most common urinary tract malignancy. Over 70,000 individuals in the United States were diagnosed with urinary bladder cancer in 2012, of whom &gt;14,880 succumbed to the disease, making urinary bladder cancer the sixth most common type of cancer (<xref rid="b1-mco-02-04-0501" ref-type="bibr">1</xref>). A number of risk factors for bladder cancer have been established, including cigarette smoking, exposure to industrial aromatic amines and the uptake of drugs, such as phenacetin, cyclophosphamide and chlornaphazine (<xref rid="b2-mco-02-04-0501" ref-type="bibr">2</xref>,<xref rid="b3-mco-02-04-0501" ref-type="bibr">3</xref>). Smoking was found to be a principal independent risk factor for bladder cancer (<xref rid="b4-mco-02-04-0501" ref-type="bibr">4</xref>). Despite the decrease in smoking rates in the US, the age-adjusted incidence rates for bladder cancer in men and women have remained the same or have marginally increased since the 1980s (<xref rid="b5-mco-02-04-0501" ref-type="bibr">5</xref>). Genetic polymorphisms in a number of metabolic enzymes were found to act as modulators of bladder cancer risk (<xref rid="b6-mco-02-04-0501" ref-type="bibr">6</xref>,<xref rid="b7-mco-02-04-0501" ref-type="bibr">7</xref>).</p>
<p>Angiogenesis is a process essential for tumor growth, invasion and metastasis (<xref rid="b8-mco-02-04-0501" ref-type="bibr">8</xref>). Vascular endothelial growth factor (VEGF) is a potent endothelial cell-specific regulator of angiogenesis, which affects the egress of plasma proteins and cells that directly and indirectly stimulate angiogenesis. Additionally, the overexpression of VEGF in a variety of solid tumors was correlated with a poor prognosis (<xref rid="b9-mco-02-04-0501" ref-type="bibr">9</xref>,<xref rid="b10-mco-02-04-0501" ref-type="bibr">10</xref>). The VEGF gene is located on chromosome 6p21.3 and consists of 8 exons. Thus far, ~30 single-nucleotide polymorphisms (SNPs) of VEGF have been described (<xref rid="b11-mco-02-04-0501" ref-type="bibr">11</xref>), several of which were found to affect its expression (<xref rid="b12-mco-02-04-0501" ref-type="bibr">12</xref>), including the widely investigated rs3025039 (also referred to as &#x0002B;936 C/T) in the 3&#x02032; untranslated region, as well as rs833052 and rs1570360 in the promoter region. These SNPs have been implicated in susceptibility to several types of tumors, including renal and gastric cancers (<xref rid="b13-mco-02-04-0501" ref-type="bibr">13</xref>,<xref rid="b14-mco-02-04-0501" ref-type="bibr">14</xref>).</p>
<p>The present hospital-based case-control study aimed to investigate the potential modifying effects of these three polymorphisms on VEGF in a Chinese population. To the best of our knowledge, only one previous study reported the association between VEGF polymorphisms and susceptibility to bladder cancer in Spain (<xref rid="b15-mco-02-04-0501" ref-type="bibr">15</xref>), while epidemiological studies have yet to investigate the effects of VEGF polymorphisms on bladder cancer in other ethnic groups.</p></sec>
<sec sec-type="methods">
<title>Materials and methods</title>
<sec>
<title>Study subjects</title>
<p>Between May, 2008 and May, 2013, a total of 420 healthy volunteers and 480 patients with bladder cancer from The First Affiliated Hospital of Zhengzhou University (Zhengzhou, China) were enrolled in this study. All the cases were histopathologically confirmed and staged according to the tumor-node-metastasis staging system of the Union for International Cancer Control. The tumors were graded according to the World Health Organization classification. Information regarding gender, age, lifetime tobacco exposure and tumor histopathology was obtained from medical records. The patients were defined as non-smokers (patients who smoked &lt;100 cigarettes over their lifetime) or smokers.</p>
<p>The study protocol was approved by the Ethics Committee of The First Affiliated Hospital of Zhengzhou University. Written informed consent was obtained from all the participants according to the Declaration of Helsinki.</p></sec>
<sec>
<title>DNA extraction and genotyping</title>
<p>Peripheral blood samples were obtained from the two groups. DNA was extracted using the QIAamp DNA Blood Mini kit (Qiagen, Valencia, CA, USA). The rs3025039, rs833052 and rs1570360 gene polymorphisms were then determined using a polymerase chain reaction (PCR)-restriction fragment length polymorphism assay using the following primers: 5&#x02032;-AAGGAAGAGGAGACTCTGCG-3&#x02032; (forward) and 5&#x02032;-TATGTGGGTGGGTGTGTCTA-3&#x02032; (reverse); 5&#x02032;-ACGTTGGATGTAGAAAACACAGCGACTGGC-3&#x02032; (forward) and 5&#x02032;-ACGTTGGATGTACCAGGCTTGAAATGACAG-3&#x02032; (reverse); and 5&#x02032;-GCCCGAGCCGCGTGTGGAA-3&#x02032; (forward) and 5&#x02032;-GCCCGAGCCGCGTGTGGAG-3&#x02032; (reverse), respectively. The PCR program for the rs3025039 amplification consisted of an initial denaturation step at 95&#x000B0;C for 2 min, followed by 35 cycles of 30 sec at 95&#x000B0;C, 30 sec at 67&#x000B0;C, 30 sec at 55&#x000B0;C and a final elongation at 72&#x000B0;C for 5 min. The PCR program for the rs833052 amplification consisted of an initial denaturation step at 94&#x000B0;C for 10 min, followed by 45 cycles of 20 sec at 94&#x000B0;C, 30 sec at 56&#x000B0;C, 1 min at 72&#x000B0;C and a final elongation at 72&#x000B0;C for 3 min. The PCR program for the rs1570360 amplification consisted of an initial denaturation step at 96&#x000B0;C for 1 min, followed by 10 cycles of 15 sec at 96&#x000B0;C, 30 sec at 56&#x000B0;C, 50 sec at 61&#x000B0;C and a final elongation at 72&#x000B0;C for 40 sec. The PCR products were digested with the appropriate restriction enzymes (New England Biolabs, Inc., Beverly, MA, USA); specifically, <italic>Nla</italic>III, <italic>Acl</italic>I and <italic>Mnl</italic>I were used to digest the rs3025039, rs833052 and rs1570360 PCR products, respectively. The digested PCR products were then analyzed on 3&#x00025; agarose gel and stained with ethidium bromide for visualization under ultraviolet light.</p></sec>
<sec>
<title>Statistical analysis</title>
<p>The associations between the VEGF variant genotypes and bladder cancer risk, tumor stage, grade and clinicopathological type were assessed using the &#x003C7;<sup>2</sup> test. The &#x003C7;<sup>2</sup> test was also used for determining the deviation from the Hardy-Weinberg equilibrium. A binary logistic regression model was used to calculate the odds ratios (ORs) and corresponding 95&#x00025; confidence intervals (CIs). All the analyses were performed with SPSS software, version 11.5 (SPSS, Inc., Chicago, IL, USA). 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 and risk factors of the study subjects</title>
<p>The clinical characteristics and risk factors of the patients with bladder cancer and the healthy controls are summarized in <xref rid="tI-mco-02-04-0501" ref-type="table">Table I</xref>. The mean age of the bladder cancer patients and that of the controls was 54.4&#x000B1;7.8 and 53.6&#x000B1;8.4 years, respectively. No significant differences in the mean age (P&#x0003D;0.46) or gender (P&#x0003D;0.15) were observed between patients and controls. Smoking was a risk factor for bladder cancer (OR&#x0003D;1.48; 95&#x00025; CI: 1.13&#x02013;1.93; P&#x0003D;0.004). Among the 480 bladder cancer cases, 189 (39.4&#x00025;) were superficial (Tis-T1), 291 (60.6&#x00025;) were invasive (T2&#x02013;T4), 142 (29.6&#x00025;) were high-grade (G3) and 338 (70.4&#x00025;) were low-grade (G1&#x0002B;G2).</p></sec>
<sec>
<title>Histopathological analysis</title>
<p>The results of the clinical histopathological examination revealed that 392 of the samples (81.7&#x00025;) were papillary bladder cancer and 88 (18.3&#x00025;) were non-papillary bladder cancer. The majority of the bladder cancer cases were histologically diagnosed and the subjects in the control group were free from cancer. The allele distribution for the investigated VEGF gene polymorphisms did not deviate from the Hardy-Weinberg equilibrium for the bladder cancer patients or the control subjects.</p></sec>
<sec>
<title>Correlation of VEGF polymorphisms and bladder cancer</title>
<p>Our results suggested that patients with bladder cancer had a significantly higher frequency of the rs833052 AA genotype (OR&#x0003D;1.75; 95&#x00025; CI: 1.05&#x02013;2.92; P&#x0003D;0.03) compared to healthy controls (<xref rid="tII-mco-02-04-0501" ref-type="table">Table II</xref>). However, no statistically significant correlation was observed between the other two polymorphisms and bladder cancer risk. When stratifying by tumor stage, grade and histological type of bladder cancer, no significant associations were observed (<xref rid="tIII-mco-02-04-0501" ref-type="table">Table III</xref>). The rs3025039 and rs1570360 gene polymorphisms were not found to be correlated with bladder cancer progression (<xref rid="tIII-mco-02-04-0501" ref-type="table">Table III</xref>).</p></sec></sec>
<sec sec-type="discussion">
<title>Discussion</title>
<p>The present study aimed to investigate the correlation between VEGF gene polymorphisms and bladder cancer risk in a Chinese population. The distribution of VEGF polymorphisms in 480 patients with bladder cancer and in 420 cancer-free controls was investigated. Our results suggested that the rs833052 AA genotype was associated with a modest increase in the risk of bladder cancer in Chinese individuals.</p>
<p>Tobacco smoking plays a crucial role in the etiology of bladder cancer. The risk of bladder cancer in cigarette smokers is 2- to 6-fold higher compared to that in non-smokers, as several compounds in cigarettes may cause genotoxic events in the urothelium (<xref rid="b16-mco-02-04-0501" ref-type="bibr">16</xref>). Moreover, cigarette smoking was found to increase cell proliferation, as evidenced by the hyperplasia of the urinary tract epithelium (<xref rid="b17-mco-02-04-0501" ref-type="bibr">17</xref>). A previous systematic literature review reported that cigarette smoking status, frequency and duration significantly increase the risk of bladder cancer (<xref rid="b18-mco-02-04-0501" ref-type="bibr">18</xref>). Active and passive smoking, smoking amount, duration and depth of smoke inhalation were identified as risk factors for bladder cancer (<xref rid="b19-mco-02-04-0501" ref-type="bibr">19</xref>). However, although a large number of individuals are exposed to these risk factors, only a few ultimately develop bladder cancer, indicating the variation in individual susceptibility to bladder carcinogenesis (<xref rid="b20-mco-02-04-0501" ref-type="bibr">20</xref>,<xref rid="b21-mco-02-04-0501" ref-type="bibr">21</xref>).</p>
<p>Accumulating evidence suggests that genetic polymorphisms contribute to cancer susceptibility and the clinicopathological characteristics of bladder cancer. A meta-analysis of 27 case-control studies involving a total of 15,013 subjects, conducted by Kouidhi <italic>et al</italic> (<xref rid="b22-mco-02-04-0501" ref-type="bibr">22</xref>), indicated that the C677T and A1298C polymorphisms of the methylenetetrahydrofolate reductase gene are associated with the risk and prognosis of bladder cancer. A meta-analysis of 33 case-control studies involving a total of 16,706 subjects, conducted by Jiang <italic>et al</italic> (<xref rid="b23-mco-02-04-0501" ref-type="bibr">23</xref>), suggested that glutathione S-transferase M1 mu1 status is associated with a significant increase in the risk of bladder cancer. Additionally, a meta-analysis of 6 case-control studies involving a total of 1,328 subjects, conducted by Li <italic>et al</italic> (<xref rid="b24-mco-02-04-0501" ref-type="bibr">24</xref>), reported that a polymorphism in p53 codon 72 is associated with bladder cancer and that the genotypic distribution of this polymorphism may vary with the stage of bladder cancer. Furthermore, a meta-analysis of 10 case-control studies involving a total of 3,549 subjects, conducted by Jiang <italic>et al</italic> (<xref rid="b25-mco-02-04-0501" ref-type="bibr">25</xref>), reported that the TP53 Arg72Pro genotype may increase the susceptibility to bladder cancer in Asian individuals. Finally, the HuGE-GSEC review, conducted by Kellen <italic>et al</italic> (<xref rid="b26-mco-02-04-0501" ref-type="bibr">26</xref>), suggested that the glutathione S-transferase P1 Ile105Val polymorphism may be associated with a modest increase in the risk of bladder cancer.</p>
<p>Over the last few years, several studies were conducted to investigate the association between VEGF polymorphisms and cancer risk in diverse populations; however, their results were controversial and ambiguous. Jacobs <italic>et al</italic> (<xref rid="b27-mco-02-04-0501" ref-type="bibr">27</xref>) investigated the effects of VEGF gene polymorphisms on the risk of breast cancer among postmenopausal women in America. The rs1570360 G/A VEGF polymorphism, but not rs3025039 C/T, was associated with an increased risk of breast cancer. A case-control study conducted by Rodrigues <italic>et al</italic> (<xref rid="b28-mco-02-04-0501" ref-type="bibr">28</xref>) suggested that the VEGF rs3025039 C/T genotype was likely a key genetic marker of susceptibility to breast cancer in Caucasians. The data obtained from that study also indicated that the VEGF rs833052 C/A polymorphism was not a susceptibility factor for breast cancer. A study conducted in Japan by Kawai <italic>et al</italic> (<xref rid="b13-mco-02-04-0501" ref-type="bibr">13</xref>) demonstrated that the rs1570360 G/A VEGF polymorphism was associated with the size and stage of renal tumors. However, data reported by Bruyere <italic>et al</italic> (<xref rid="b29-mco-02-04-0501" ref-type="bibr">29</xref>) did not support the association between VEGF rs1570360 G/A and the risk or prognostic parameters of renal carcinoma in an Australian population. The reasons for the variation and discrepancy among those results may include the frequency of the polymorphism, ethnic and geographic differences between the populations investigated, or linkage disequilibrium with additional, yet undiscovered, functional SNPs in the VEGF gene.</p>
<p>Garcia-Closas <italic>et al</italic> (<xref rid="b15-mco-02-04-0501" ref-type="bibr">15</xref>) reported the association between VEGF polymorphisms and bladder cancer risk in Spain. Consistent with our results, the results of that study revealed no association of the rs3025039 and rs1570360 SNPs with the risk of bladder cancer and identified the rs833052 SNP as a susceptibility factor for bladder cancer. However, that study did not evaluate the correlation between these VEGF polymorphisms and bladder cancer stage, grade or histological type.</p>
<p>The present study was limited by the small sample size. Additionally, due to restriction of the included population, the results may not be extrapolated to other ethnic groups. Moreover, selection bias may be present due to the nature of this study (hospital-based case-control); thus, the selected subjects may not be representative of the general population.</p>
<p>In summary, the present study indicated that the VEGF rs833052 C/A polymorphism may be associated with a modest increase in the risk of bladder cancer in Chinese individuals. However, further prospective and multiethnic studies, including a larger sample size, are required to confirm our findings.</p></sec></body>
<back>
<ack>
<title>Acknowledgements</title>
<p>This study was supported by grants from the National Natural Science Foundation of China (no. 81272823) and the Henan Science and Technology Research Foundation (no. 122102310047).</p></ack>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term id="G1">VEGF</term>
<def>
<p>vascular endothelial growth factor</p></def></def-item>
<def-item>
<term id="G2">PCR</term>
<def>
<p>polymerase chain reaction</p></def></def-item>
<def-item>
<term id="G3">SNP</term>
<def>
<p>single-nucleotide polymorphism</p></def></def-item>
<def-item>
<term id="G4">OR</term>
<def>
<p>odds ratio</p></def></def-item>
<def-item>
<term id="G5">CI</term>
<def>
<p>confidence interval</p></def></def-item></def-list></glossary>
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<floats-group>
<table-wrap id="tI-mco-02-04-0501" position="float">
<label>Table I</label>
<caption>
<p>Clinical characteristics and risk factors in patients with bladder cancer and healthy controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">Characteristics</th>
<th align="center" valign="bottom">Cases (n&#x0003D;480)</th>
<th align="center" valign="bottom">Controls (n&#x0003D;420)</th>
<th align="center" valign="bottom">P-value</th></tr></thead>
<tbody>
<tr>
<td colspan="4" align="left" valign="top">Gender, no. (&#x00025;)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Male</td>
<td align="right" valign="top">272 (56.7)</td>
<td align="center" valign="top">218 (51.9)</td>
<td align="right" valign="top">0.15</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Female</td>
<td align="right" valign="top">208 (43.3)</td>
<td align="center" valign="top">202 (48.1)</td>
<td align="right" valign="top">0.15</td></tr>
<tr>
<td align="left" valign="top">Age, years &#x000B1; SD</td>
<td align="right" valign="top">54.4&#x000B1;7.8</td>
<td align="center" valign="top">53.6&#x000B1;8.4</td>
<td align="right" valign="top">0.46</td></tr>
<tr>
<td colspan="4" align="left" valign="top">Smoking status, no. (&#x00025;)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Smoker</td>
<td align="right" valign="top">226 (47.1)</td>
<td align="center" valign="top">158 (37.6)</td>
<td align="right" valign="top">&lt;0.01</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Non-smoker</td>
<td align="right" valign="top">254 (52.9)</td>
<td align="center" valign="top">262 (62.4)</td>
<td align="right" valign="top">&lt;0.01</td></tr>
<tr>
<td colspan="4" align="left" valign="top">Tumor stage, no. (&#x00025;)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Superficial (Tis-T1)</td>
<td align="right" valign="top">189 (39.4)</td>
<td align="center" valign="top">-</td>
<td align="right" valign="top">-</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Invasive (T2&#x02013;T4)</td>
<td align="right" valign="top">291 (60.6)</td>
<td align="center" valign="top">-</td>
<td align="right" valign="top">-</td></tr>
<tr>
<td colspan="4" align="left" valign="top">Tumor grade, no. (&#x00025;)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Low (G1&#x0002B;G2)</td>
<td align="right" valign="top">338 (70.4)</td>
<td align="center" valign="top">-</td>
<td align="right" valign="top">-</td></tr>
<tr>
<td align="left" valign="top">&#x02003;High (G3)</td>
<td align="right" valign="top">142 (29.6)</td>
<td align="center" valign="top">-</td>
<td align="right" valign="top">-</td></tr>
<tr>
<td colspan="4" align="left" valign="top">Histological type, no. (&#x00025;)</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Papillary</td>
<td align="right" valign="top">392 (81.7)</td>
<td align="center" valign="top">-</td>
<td align="right" valign="top">-</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Non-papillary</td>
<td align="right" valign="top">88 (18.3)</td>
<td align="center" valign="top">-</td>
<td align="right" valign="top">-</td></tr></tbody></table></table-wrap>
<table-wrap id="tII-mco-02-04-0501" position="float">
<label>Table II</label>
<caption>
<p>Vascular endothelial growth factor gene polymorphisms among bladder cancer patients and healthy controls.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom">SNP</th>
<th align="center" valign="bottom">Genotype</th>
<th align="center" valign="bottom">Cases, n&#x0003D;480 (&#x00025;)</th>
<th align="center" valign="bottom">Controls, n&#x0003D;420 (&#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">rs833052</td>
<td align="center" valign="top">CC</td>
<td align="center" valign="top">278 (57.9)</td>
<td align="center" valign="top">265 (63.1)</td>
<td align="center" valign="top">0.80 (0.62&#x02013;1.05)</td>
<td align="center" valign="top">0.11</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">CA</td>
<td align="center" valign="top">156 (32.5)</td>
<td align="center" valign="top">131 (31.2)</td>
<td align="center" valign="top">1.06 (0.80&#x02013;1.41)</td>
<td align="center" valign="top">0.67</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">AA</td>
<td align="center" valign="top">46 (9.6)</td>
<td align="center" valign="top">24 (5.7)</td>
<td align="center" valign="top">1.75 (1.05&#x02013;2.92)</td>
<td align="center" valign="top">0.03</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">A allele frequency</td>
<td align="center" valign="top">248 (25.8)</td>
<td align="center" valign="top">179 (21.3)</td>
<td align="center" valign="top">1.29 (1.03&#x02013;1.60)</td>
<td align="center" valign="top">0.02</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">C allele frequency</td>
<td align="center" valign="top">712 (74.2)</td>
<td align="center" valign="top">661 (78.7)</td>
<td align="center" valign="top">0.78 (0.62&#x02013;0.97)</td>
<td align="center" valign="top">0.02</td></tr>
<tr>
<td align="left" valign="top">rs3025039</td>
<td align="center" valign="top">CC</td>
<td align="center" valign="top">307 (64.0)</td>
<td align="center" valign="top">284 (67.6)</td>
<td align="center" valign="top">0.85 (0.64&#x02013;1.12)</td>
<td align="center" valign="top">0.25</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">CT</td>
<td align="center" valign="top">149 (31.0)</td>
<td align="center" valign="top">121 (28.8)</td>
<td align="center" valign="top">1.11 (0.84&#x02013;1.48)</td>
<td align="center" valign="top">0.47</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">TT</td>
<td align="center" valign="top">24 (5.0)</td>
<td align="center" valign="top">15 (3.6)</td>
<td align="center" valign="top">1.42 (0.74&#x02013;2.75)</td>
<td align="center" valign="top">0.30</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">C allele frequency</td>
<td align="center" valign="top">763 (79.5)</td>
<td align="center" valign="top">689 (82.0)</td>
<td align="center" valign="top">0.85 (0.67&#x02013;1.07)</td>
<td align="center" valign="top">0.17</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">T allele frequency</td>
<td align="center" valign="top">197 (20.5)</td>
<td align="center" valign="top">151 (18.0)</td>
<td align="center" valign="top">1.18 (0.93&#x02013;1.49)</td>
<td align="center" valign="top">0.17</td></tr>
<tr>
<td align="left" valign="top">rs1570360</td>
<td align="center" valign="top">GG</td>
<td align="center" valign="top">224 (46.7)</td>
<td align="center" valign="top">213 (50.7)</td>
<td align="center" valign="top">0.85 (0.65&#x02013;1.11)</td>
<td align="center" valign="top">0.23</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">AG</td>
<td align="center" valign="top">187 (39.0)</td>
<td align="center" valign="top">162 (38.6)</td>
<td align="center" valign="top">1.02 (0.78&#x02013;1.33)</td>
<td align="center" valign="top">0.91</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">AA</td>
<td align="center" valign="top">69 (14.3)</td>
<td align="center" valign="top">45 (10.7)</td>
<td align="center" valign="top">1.40 (0.94&#x02013;2.09)</td>
<td align="center" valign="top">0.10</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">G allele frequency</td>
<td align="center" valign="top">635 (66.1)</td>
<td align="center" valign="top">588 (70.0)</td>
<td align="center" valign="top">0.84 (0.69&#x02013;1.02)</td>
<td align="center" valign="top">0.08</td></tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">A allele frequency</td>
<td align="center" valign="top">325 (33.9)</td>
<td align="center" valign="top">252 (30.0)</td>
<td align="center" valign="top">1.19 (0.98&#x02013;1.46)</td>
<td align="center" valign="top">0.08</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-mco-02-04-0501">
<p>SNP, single-nucleotide polymorphism; OR, odds ratio; CI, confidence interval.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="tIII-mco-02-04-0501" position="float">
<label>Table III</label>
<caption>
<p>Stratification analysis of vascular endothelial growth factor gene polymorphisms in bladder cancer.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom" rowspan="5">Variables</th>
<th align="center" valign="bottom" rowspan="5">Total cases</th>
<th colspan="6" align="center" valign="bottom">rs833052</th>
<th colspan="6" align="center" valign="bottom">rs3025039</th>
<th colspan="6" align="center" valign="bottom">rs1570360</th></tr>
<tr>
<th colspan="6" align="left" valign="bottom">
<hr/></th>
<th colspan="6" align="left" valign="bottom">
<hr/></th>
<th colspan="6" align="left" valign="bottom">
<hr/></th></tr>
<tr>
<th colspan="2" align="center" valign="bottom">CC</th>
<th colspan="2" align="center" valign="bottom">CA</th>
<th colspan="2" align="center" valign="bottom">AA</th>
<th colspan="2" align="center" valign="bottom">CC</th>
<th colspan="2" align="center" valign="bottom">CT</th>
<th colspan="2" align="center" valign="bottom">TT</th>
<th colspan="2" align="center" valign="bottom">GG</th>
<th colspan="2" align="center" valign="bottom">AG</th>
<th colspan="2" align="center" valign="bottom">AA</th></tr>
<tr>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th colspan="2" align="left" valign="bottom">
<hr/></th>
<th colspan="2" align="left" valign="bottom">
<hr/></th></tr>
<tr>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th>
<th align="center" valign="bottom">n</th>
<th align="center" valign="bottom">P</th></tr></thead>
<tbody>
<tr>
<td colspan="20" align="left" valign="top">Tumor stage</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Superficial</td>
<td align="center" valign="top">189</td>
<td align="center" valign="top">110</td>
<td align="center" valign="top">0.92</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">0.49</td>
<td align="center" valign="top">21</td>
<td align="center" valign="top">0.36</td>
<td align="center" valign="top">113</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">0.54</td>
<td align="center" valign="top">95</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">68</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">26</td>
<td align="center" valign="top">0.76</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Invasive</td>
<td align="center" valign="top">291</td>
<td align="center" valign="top">168</td>
<td align="center" valign="top"/>
<td align="center" valign="top">98</td>
<td align="center" valign="top"/>
<td align="center" valign="top">25</td>
<td align="center" valign="top"/>
<td align="center" valign="top">194</td>
<td align="center" valign="top"/>
<td align="center" valign="top">81</td>
<td align="center" valign="top"/>
<td align="center" valign="top">16</td>
<td align="center" valign="top"/>
<td align="center" valign="top">129</td>
<td align="center" valign="top"/>
<td align="center" valign="top">119</td>
<td align="center" valign="top"/>
<td align="center" valign="top">43</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="20" align="left" valign="top">Tumor grade</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Low</td>
<td align="center" valign="top">338</td>
<td align="center" valign="top">202</td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">108</td>
<td align="center" valign="top">0.69</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">0.14</td>
<td align="center" valign="top">221</td>
<td align="center" valign="top">0.32</td>
<td align="center" valign="top">102</td>
<td align="center" valign="top">0.53</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">153</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">139</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">46</td>
<td align="center" valign="top">0.46</td></tr>
<tr>
<td align="left" valign="top">&#x02003;High</td>
<td align="center" valign="top">142</td>
<td align="center" valign="top">76</td>
<td align="center" valign="top"/>
<td align="center" valign="top">48</td>
<td align="center" valign="top"/>
<td align="center" valign="top">18</td>
<td align="center" valign="top"/>
<td align="center" valign="top">86</td>
<td align="center" valign="top"/>
<td align="center" valign="top">47</td>
<td align="center" valign="top"/>
<td align="center" valign="top">9</td>
<td align="center" valign="top"/>
<td align="center" valign="top">71</td>
<td align="center" valign="top"/>
<td align="center" valign="top">48</td>
<td align="center" valign="top"/>
<td align="center" valign="top">23</td>
<td align="center" valign="top"/></tr>
<tr>
<td colspan="20" align="left" valign="top">Histological type</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Papillary</td>
<td align="center" valign="top">392</td>
<td align="center" valign="top">231</td>
<td align="center" valign="top">0.34</td>
<td align="center" valign="top">126</td>
<td align="center" valign="top">0.72</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">0.31</td>
<td align="center" valign="top">256</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">118</td>
<td align="center" valign="top">0.35</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">0.39</td>
<td align="center" valign="top">188</td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">146</td>
<td align="center" valign="top">0.11</td>
<td align="center" valign="top">58</td>
<td align="center" valign="top">0.58</td></tr>
<tr>
<td align="left" valign="top">&#x02003;Non-papillary</td>
<td align="center" valign="top">88</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top"/>
<td align="center" valign="top">30</td>
<td align="center" valign="top"/>
<td align="center" valign="top">11</td>
<td align="center" valign="top"/>
<td align="center" valign="top">51</td>
<td align="center" valign="top"/>
<td align="center" valign="top">31</td>
<td align="center" valign="top"/>
<td align="center" valign="top">6</td>
<td align="center" valign="top"/>
<td align="center" valign="top">36</td>
<td align="center" valign="top"/>
<td align="center" valign="top">41</td>
<td align="center" valign="top"/>
<td align="center" valign="top">11</td>
<td align="center" valign="top"/></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-mco-02-04-0501">
<p>n, sample size; P, P-value.</p></fn></table-wrap-foot></table-wrap></floats-group></article>
