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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">jbm</journal-id>
      <journal-title-group>
        <journal-title>Journal of Biosciences and Medicines</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2327-509X</issn>
      <issn pub-type="ppub">2327-5081</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/jbm.2025.1312012</article-id>
      <article-id pub-id-type="publisher-id">jbm-147860</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Involvement of Polymorphisms of the Interleukin 17A (rs2275913) and 17F (rs763780) Genes in the Development of Cervical Cancer and HPV Infection in Two West African Countries</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-5464-4571</contrib-id>
          <name name-style="western">
            <surname>Traoré</surname>
            <given-names>Mah Alima Esther</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Bambara</surname>
            <given-names>Asseitou</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-5527-4648</contrib-id>
          <name name-style="western">
            <surname>Douamba</surname>
            <given-names>Zoénabo</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Zabré</surname>
            <given-names>Pierre</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name name-style="western">
            <surname>Sétor</surname>
            <given-names>Marius Ayaovi</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-9100-0692</contrib-id>
          <name name-style="western">
            <surname>Zohoncon</surname>
            <given-names>Théodora Mahoukèdè</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-8814-4433</contrib-id>
          <name name-style="western">
            <surname>Sorgho</surname>
            <given-names>Abel Pegdwendé</given-names>
          </name>
          <xref ref-type="aff" rid="aff3">3</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-3121-8761</contrib-id>
          <name name-style="western">
            <surname>Ouédraogo</surname>
            <given-names>Teega-Wendé Clarisse</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-4317-5930</contrib-id>
          <name name-style="western">
            <surname>Bado</surname>
            <given-names>Prosper</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-9767-0646</contrib-id>
          <name name-style="western">
            <surname>Ouattara</surname>
            <given-names>Abdoul Karim</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-0471-5057</contrib-id>
          <name name-style="western">
            <surname>Yonli</surname>
            <given-names>Albert Théophane</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-6172-7487</contrib-id>
          <name name-style="western">
            <surname>Karou</surname>
            <given-names>Simplice Damintoti</given-names>
          </name>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-6957-3307</contrib-id>
          <name name-style="western">
            <surname>Ouédraogo</surname>
            <given-names>Charlemagne</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <contrib-id contrib-id-type="orcid">0000-0002-6895-6725</contrib-id>
          <name name-style="western">
            <surname>Djigma</surname>
            <given-names>Florencia Wendkuuni</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-0415-9161</contrib-id>
          <name name-style="western">
            <surname>Simporé</surname>
            <given-names>Jacques</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Laboratory of Molecular Biology and Genetics (LABIOGENE), University Joseph KI-ZERBO, Ouagadougou, Burkina Faso </aff>
      <aff id="aff2"><label>2</label> National Center for Scientific and Technological Research (CNRST), Ouagadougou, Burkina Faso </aff>
      <aff id="aff3"><label>3</label> Faculty of Medicine, University Saint Thomas d’Aquin, Ouagadougou, Burkina Faso </aff>
      <aff id="aff4"><label>4</label> Pietro Annigoni Biomolecular Research Centre (CERBA), Ouagadougou, Burkina Faso </aff>
      <aff id="aff5"><label>5</label> Regional Center of Excellence in Poultry Science, University of Lomé, Lomé, Togo </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare that there is no conflict of interest regarding the publication of this article.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>02</day>
        <month>12</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>12</month>
        <year>2025</year>
      </pub-date>
      <volume>13</volume>
      <issue>12</issue>
      <fpage>150</fpage>
      <lpage>165</lpage>
      <history>
        <date date-type="received">
          <day>
          </day>
          <month>
          </month>
          <year>
          </year>
        </date>
        <date date-type="accepted">
          <day>
          </day>
          <month>
          </month>
          <year>
          </year>
        </date>
        <date date-type="published">
          <day>02</day>
          <month>12</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2025 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/jbm.2025.1312012">https://doi.org/10.4236/jbm.2025.1312012</self-uri>
      <abstract>
        <p><bold>Background</bold>: Interleukin-17 (IL-17) is a pro-inflammatory cytokine associated with inflammation, autoimmune disorders, and even tumors. Several studies have revealed abnormally high expression of IL-17 in human malignant tumors. The main objective of this study was to analyze the association between Single Nucleotide Polymorphisms (SNPs) of IL-17A (rs 2275913) and IL-17F (rs 763780) and their involvement in the development of cervical cancer in Burkina Faso and Togo, as well as their association with HPV. <bold>Methodology</bold>: In the present study, two SNPs in IL-17A (rs 2275913) and IL-17F (rs 763780) were analyzed in 44 patients with Cervical Cancer (CC) and 93 women with no history of cervical cancer from the city of Ouagadougou and 114 women with no history of cervical cancer from the city of Kara. Nucleic acids were extracted using the R-Biopharm kit. Polymorphism genotyping was performed by real-time PCR using TaqMan<sup>®</sup> tests. <bold>Results</bold>: Our results indicated that the G and A alleles were not associated with the different characteristics studied in the two cities. The frequency of genotypes of the rs2275913 polymorphism of the 1L-17A gene was 91.4%, 7.5%, and 1.1% for the GG, GA, and AA genotypes in Ouagadougou, 91.23%, 7.90%, and 3.23% for the TT, TC, and CC genotypes in Ouagadougou, and 89.50%, 10.50% and 0.00% respectively in Lomé in the city of Kara. The mutation rates of rs 2275913 and rs 763780 polymorphisms were 4.84% and 12.90% respectively for Ouagadougou, compared to 4.83% and 5.26% for Kara. There was no statistically significant difference between the genotypes of IL-17A (rs 2275913) and IL-17F (rs763780) polymorphisms in cervical cancer cases, and controls in Ouagadougou. Certain characteristics such as age at first sexual intercourse and parity were associated with IL-17A (rs 2275913) genotypes in Ouagadougou and age at first sexual intercourse in Kara. <bold>Conclusion</bold>: The results indicate that IL-17A and IL-17F polymorphisms are influenced by certain characteristics of women, but are not involved in the development of cervical cancer.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Cervical Cancer</kwd>
        <kwd>HPV</kwd>
        <kwd>IL-17</kwd>
        <kwd>Polymorphisms</kwd>
        <kwd>Burkina Faso</kwd>
        <kwd>Togo</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Cervical cancer is a common malignant tumor worldwide, with nearly 660,000 new cases and 350,000 deaths in 2022. Approximately 90% of cases occur in developing countries [<xref ref-type="bibr" rid="B1">1</xref>]. Cervical cancer, the second most common cancer among women worldwide, is one of the leading causes of cancer death [<xref ref-type="bibr" rid="B1">1</xref>], with Human Papillomavirus (HPV) infections identified as the main risk factor in its development [<xref ref-type="bibr" rid="B2">2</xref>]. The progression of HPV infection in the host can be multifactorial, including infection with the HPV type with the highest oncogenic risk [<xref ref-type="bibr" rid="B3">3</xref>]. Sociodemographic factors and the state of the host’s immune system, including genetic polymorphisms, play a role in the immune response [<xref ref-type="bibr" rid="B3">3</xref>][<xref ref-type="bibr" rid="B4">4</xref>]. Numerous studies have reported that polymorphisms in a series of genes, including those of interleukin-17 (IL-17), are associated with susceptibility to cervical cancer [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B6">6</xref>]. IL-17 is a pro-inflammatory cytokine secreted by various cells, including T helper cells, CD8+ T cells, CD4+ T cells, and natural killer cells in the tumor microenvironment [<xref ref-type="bibr" rid="B7">7</xref>]. This cytokine is involved in multiple functions, including host defense and the pathology of autoimmune diseases, infectious diseases, chronic inflammatory diseases, and cancers [<xref ref-type="bibr" rid="B7">7</xref>]. IL-17-producing cells may play a role in antitumor immunity. IL-17 is a family of cytokines composed of six members (IL-17A to IL-17F) and five receptors (IL-17RA to IL-17RD and SEF) [<xref ref-type="bibr" rid="B8">8</xref>]. Among the IL-17 genes, the best known are IL-17A (rs2275913) and IL-17F (rs7637780), which share the greatest homology between them and encode two common receptors: IL-17RA and IL-17RC [<xref ref-type="bibr" rid="B9">9</xref>]. More recent meta-analyses tend to confirm that these polymorphisms are significant risk factors for several cancers [<xref ref-type="bibr" rid="B10">10</xref>]. These cells and their cytokines have been implicated in both pro-tumor and anti-tumor processes. They can also promote and exacerbate diseases caused by viruses, as they induce inflammation that affects the microenvironment around tumors, which involves the proliferation, migration, and survival of cancer cells [<xref ref-type="bibr" rid="B5">5</xref>]. Although previous studies have evaluated the correlation between the rs3748067 polymorphism of the IL-17A gene and susceptibility to breast and cervical cancer [<xref ref-type="bibr" rid="B11">11</xref>][<xref ref-type="bibr" rid="B12">12</xref>], the results were inconsistent [<xref ref-type="bibr" rid="B5">5</xref>][<xref ref-type="bibr" rid="B13">13</xref>]. Furthermore, no studies have been conducted among Burkinabe patients with cervical cancer to evaluate the association with Interleukin-17 polymorphism. The main objective of this study was to analyze the association between IL-17A (rs 2275913) and IL-17F (rs 763780) SNPs and their involvement in the development of cervical cancer in Burkina Faso, as well as their association with HPV in Togo.</p>
    </sec>
    <sec id="sec2">
      <title>2. Methodology</title>
      <sec id="sec2dot1">
        <title>2.1. Subjects</title>
        <p>This is a case-control study conducted from October 2020 to March 2021. The study population in the city of Ouagadougou consisted of 137 sexually active women, including 44 cases of cervical cancer and 93 without a history of cervical cancer. The study population in the city of Kara consisted of 114 sexually active women with no history of cervical cancer. These two populations from two neighboring West African countries have a similarity in HPV genotype mapping. These samples had already been genotyped for HPV [<xref ref-type="bibr" rid="B14">14</xref>][<xref ref-type="bibr" rid="B15">15</xref>].</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Nucleic Acid Extraction</title>
        <p>Human DNA was extracted using the “R-Biopharm” kit, which allows simultaneous extraction of DNA and RNA, in accordance with the protocols provided by the manufacturers. The nucleic acid extracts obtained were stored at −80˚C for later use.</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. TaqMan Probe Real-Time PCR</title>
        <p>Genotyping of the two IL-17 polymorphisms was performed using TaqMan SNP (Applied Biosystems, ABI, Foster City, CA, USA). We used an optimized protocol employed by Yi Quan <italic>et al</italic>. [<xref ref-type="bibr" rid="B5">5</xref>]. For IL-17A rs2275913 genotyping, real-time PCR was performed in a total volume of 10 μL reaction mixture containing 2.5 μL TaqMan (2X) Universal PCR Master Mix, 1 μL of SNP Genotyping Assay (2X), 1.5 μL of sterile DNase-free water, and 5 μL (10 ng) of genomic DNA. The thermal conditions for real-time PCR were 95˚C for 10 min, followed by 49 cycles of 95˚C for 15 s and 60˚C for 1 min. For IL-17F rs763780, real-time PCR with TaqMan probe was performed in a total volume of 10 μL reaction mixture containing 2.5 μL TaqMan PCR Universal Master Mix (2X), 1 μL of SNP genotyping assay (2X), 1.5 μL of sterile DNase-free water, and 5 μL (10 ng) of genomic DNA. The thermal conditions for real-time PCR were 95˚C for 10 minutes, followed by 59 cycles at 95˚C for 15 seconds and 60˚C for 1 minute.</p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Data Analysis</title>
        <p>Allele discrimination, allele frequency, and genotype calculations were performed using TaqMan Genotyper<sup>®</sup> 1.6.0 software. 34. Data were analyzed using Statistical Package for Social Sciences (SPSS) 26.0 and Epi Info version 7.2 software. The chi-square test was used to compare frequencies. Odd ratios and 95% confidence intervals were calculated to assess risk. Results are considered statistically significant for p &lt; 0.05.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results</title>
      <sec id="sec3dot1">
        <title>3.1. Sociodemographic Characteristics According to HPV Infection in Ouagadougou</title>
        <p><bold>Table 1</bold> presents the socio-demographic, behavioral, and sexual characteristics of the 93 sexually active women in Ouagadougou with no history of cervical cancer, according to their HPV status. None of the women smoked. The average age of the participants was 33.91 ± 8.52 years, with ages ranging from 18 to 57 years. There were fewer university graduates and more married women. HPV status was positive in 51 (54.8%) women and negative in 42 (45.2%) women. The number of abortions was statistically associated with infection in Ouagadougou (p-value = 0.007).</p>
        <p><bold>Table 1</bold><bold>.</bold> Sociodemographic, behavioral, and sexual characteristics according to HPV infection among women in Ouagadougou.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">
                  <bold>Behavioral and sexual characteristics</bold>
                </td>
                <td rowspan="2">
                  <bold>Frequency</bold>
                </td>
                <td colspan="2">
                  <bold>HPV</bold>
                </td>
                <td rowspan="2">
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>HPV</bold>
                  <bold>
                    <sup>−</sup>
                  </bold>
                  <bold>(n)</bold>
                </td>
                <td>
                  <bold>HPV</bold>
                  <bold>
                    <sup>+</sup>
                  </bold>
                  <bold>(n)</bold>
                </td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Age</bold>
                </td>
                <td rowspan="4">0.37</td>
              </tr>
              <tr>
                <td>Under 20 years old</td>
                <td>1</td>
                <td>1</td>
                <td>0</td>
              </tr>
              <tr>
                <td>20 - 39</td>
                <td>70</td>
                <td>30</td>
                <td>40</td>
              </tr>
              <tr>
                <td>40 - 60</td>
                <td>22</td>
                <td>11</td>
                <td>11</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Age at first sexual intercourse</bold>
                </td>
                <td rowspan="3">0.06</td>
              </tr>
              <tr>
                <td>Under 20 years old</td>
                <td>62</td>
                <td>32</td>
                <td>30</td>
              </tr>
              <tr>
                <td>Over 20 years</td>
                <td>31</td>
                <td>10</td>
                <td>21</td>
              </tr>
              <tr>
                <td>Marital status</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td rowspan="4">0.30</td>
              </tr>
              <tr>
                <td>Singles</td>
                <td>13</td>
                <td>4</td>
                <td>9</td>
              </tr>
              <tr>
                <td>Brides</td>
                <td>78</td>
                <td>36</td>
                <td>42</td>
              </tr>
              <tr>
                <td>Widows</td>
                <td>2</td>
                <td>2</td>
                <td>0</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Contraceptive usage</bold>
                </td>
                <td rowspan="3">0.94</td>
              </tr>
              <tr>
                <td>Yes</td>
                <td>35</td>
                <td>17</td>
                <td>21</td>
              </tr>
              <tr>
                <td>No</td>
                <td>58</td>
                <td>25</td>
                <td>30</td>
              </tr>
              <tr>
                <td>Gestation</td>
                <td>
                </td>
                <td>
                </td>
                <td>
                </td>
                <td rowspan="3">0.41</td>
              </tr>
              <tr>
                <td>1 - 5</td>
                <td>72</td>
                <td>34</td>
                <td>45</td>
              </tr>
              <tr>
                <td>More than 5</td>
                <td>21</td>
                <td>08</td>
                <td>06</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Parity</bold>
                </td>
                <td rowspan="3">0.43</td>
              </tr>
              <tr>
                <td>0 - 5</td>
                <td>80</td>
                <td>39</td>
                <td>46</td>
              </tr>
              <tr>
                <td>More than 5</td>
                <td>13</td>
                <td>3</td>
                <td>5</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Number of abortions</bold>
                </td>
                <td rowspan="3">0.007</td>
              </tr>
              <tr>
                <td>0</td>
                <td>64</td>
                <td>21</td>
                <td>21</td>
              </tr>
              <tr>
                <td>1 - 3</td>
                <td>29</td>
                <td>43</td>
                <td>08</td>
              </tr>
              <tr>
                <td colspan="4">
                  <bold>Level of education</bold>
                </td>
                <td rowspan="5">0.63</td>
              </tr>
              <tr>
                <td>Illiterate</td>
                <td>27</td>
                <td>14</td>
                <td>13</td>
              </tr>
              <tr>
                <td>Primary school</td>
                <td>25</td>
                <td>12</td>
                <td>13</td>
              </tr>
              <tr>
                <td>Secondary school</td>
                <td>28</td>
                <td>12</td>
                <td>16</td>
              </tr>
              <tr>
                <td>University</td>
                <td>13</td>
                <td>4</td>
                <td>9</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Sociodemographic Characteristics According to HPV Infection in Kara</title>
        <p><bold>Table 2</bold> presents the socio-demographic, behavioral, and sexual characteristics of the 114 participants from the city of Kara according to their HPV status. As in the city of Ouagadougou, none of the women smoked. The average age of the participants was 33.87 ± 9.58 years, with ages ranging from 17 to 61 years. There were fewer university graduates and more married women. The HPV status was 64 (56.14%) women positive for HPV and 42 (43.86%) women negative for HPV. The age of first sexual intercourse was statistically associated with HPV infection in Kara.</p>
        <p><bold>Table 2</bold><bold>.</bold> Sociodemographic, behavioral, and sexual characteristics according to HPV infection in women in Kara.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">
                  <bold>Behavioral and sexual characteristics</bold>
                </td>
                <td colspan="3" rowspan="2">
                  <bold>Frequency</bold>
                </td>
                <td colspan="4">
                  <bold>HPV</bold>
                </td>
                <td colspan="2" rowspan="1">
                  <bold>Total</bold>
                </td>
                <td rowspan="1">
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td colspan="2">
                  <bold>HPV</bold>
                  <bold>
                    <sup>−</sup>
                  </bold>
                  <bold>N (%)</bold>
                </td>
                <td colspan="2">
                  <bold>HPV</bold>
                  <bold>
                    <sup>+</sup>
                  </bold>
                  <bold>N (%)</bold>
                </td>
              </tr>
              <tr>
                <td colspan="8">
                  <bold>Age</bold>
                </td>
                <td colspan="2" rowspan="15">114</td>
                <td rowspan="1">0.19</td>
              </tr>
              <tr>
                <td>Under 20 years old</td>
                <td colspan="3">3</td>
                <td colspan="2">3</td>
                <td colspan="2">0</td>
              </tr>
              <tr>
                <td>20 - 39</td>
                <td colspan="3">81</td>
                <td colspan="2">40</td>
                <td colspan="2">41</td>
              </tr>
              <tr>
                <td>40 - 60</td>
                <td colspan="3">26</td>
                <td colspan="2">6</td>
                <td colspan="2">20</td>
              </tr>
              <tr>
                <td>Over 60 years old</td>
                <td colspan="3">4</td>
                <td colspan="2">1</td>
                <td colspan="2">3</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>Age at first sexual intercourse</bold>
                </td>
                <td colspan="2" rowspan="2">0.048</td>
              </tr>
              <tr>
                <td colspan="2">Under 20 years old</td>
                <td>77</td>
                <td colspan="2">30</td>
                <td colspan="2">47</td>
                <td colspan="2" rowspan="2">114</td>
              </tr>
              <tr>
                <td colspan="2">Over 20 years</td>
                <td>37</td>
                <td colspan="2">20</td>
                <td colspan="2">17</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>Marital status</bold>
                </td>
                <td colspan="2" rowspan="2">0.08</td>
              </tr>
              <tr>
                <td colspan="2">Singles</td>
                <td>27</td>
                <td colspan="2">8</td>
                <td colspan="2">19</td>
                <td colspan="2" rowspan="3">114</td>
              </tr>
              <tr>
                <td colspan="2">Brides</td>
                <td>80</td>
                <td colspan="2">41</td>
                <td colspan="2">39</td>
              </tr>
              <tr>
                <td colspan="2">Widows</td>
                <td>7</td>
                <td colspan="2">1</td>
                <td colspan="2">6</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>Contraceptive usage</bold>
                </td>
                <td colspan="2" rowspan="2">0.25</td>
              </tr>
              <tr>
                <td colspan="2">Yes</td>
                <td>91</td>
                <td colspan="2">38</td>
                <td colspan="2">53</td>
                <td colspan="2" rowspan="2">114</td>
              </tr>
              <tr>
                <td colspan="2">No</td>
                <td>23</td>
                <td colspan="2">12</td>
                <td colspan="2">11</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>Gestation</bold>
                </td>
                <td colspan="2" rowspan="2">0.08</td>
              </tr>
              <tr>
                <td colspan="2">1 - 5</td>
                <td>104</td>
                <td colspan="2">44</td>
                <td colspan="2">60</td>
                <td colspan="2" rowspan="2">114</td>
              </tr>
              <tr>
                <td colspan="2">More than 5</td>
                <td>10</td>
                <td colspan="2">6</td>
                <td colspan="2">4</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>Parity</bold>
                </td>
                <td colspan="2" rowspan="2">0.16</td>
              </tr>
              <tr>
                <td colspan="2">0 - 5</td>
                <td>109</td>
                <td colspan="2">46</td>
                <td colspan="2">63</td>
                <td colspan="2" rowspan="2">114</td>
              </tr>
              <tr>
                <td colspan="2">More than 5</td>
                <td>5</td>
                <td colspan="2">4</td>
                <td colspan="2">1</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>Number of abortions</bold>
                </td>
                <td colspan="2" rowspan="2">0.44</td>
              </tr>
              <tr>
                <td colspan="2">0</td>
                <td>71</td>
                <td colspan="2">28</td>
                <td colspan="2">43</td>
                <td colspan="2" rowspan="2">114</td>
              </tr>
              <tr>
                <td colspan="2">1 - 3</td>
                <td>43</td>
                <td colspan="2">22</td>
                <td colspan="2">21</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>Level of education</bold>
                </td>
                <td colspan="2" rowspan="2">0.33</td>
              </tr>
              <tr>
                <td colspan="2">Illiterate</td>
                <td>17</td>
                <td colspan="2">10</td>
                <td colspan="2">7</td>
                <td colspan="2" rowspan="4">114</td>
              </tr>
              <tr>
                <td colspan="2">Primary school</td>
                <td>30</td>
                <td colspan="2">14</td>
                <td colspan="2">16</td>
              </tr>
              <tr>
                <td colspan="2">Secondary school</td>
                <td>44</td>
                <td colspan="2">19</td>
                <td colspan="2">25</td>
              </tr>
              <tr>
                <td colspan="2">University</td>
                <td>23</td>
                <td colspan="2">7</td>
                <td colspan="2">16</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Distribution of IL-17A Gene Polymorphisms (rs 2275913) According to Socio-Demographic and Sexual Characteristics in Ouagadougou and Kara</title>
        <p><bold>Table 3</bold> shows the distribution of IL-17A gene polymorphisms (rs 2275913) in the two cities. Certain characteristics, such as age at first sexual intercourse and parity, were associated with IL-17A (rs 2275913) genotypes in Ouagadougou, and age at first sexual intercourse in Kara. Alleles G and A were not associated with the various characteristics studied in either city.</p>
      </sec>
      <sec id="sec3dot4">
        <title>3.4. Distribution of Polymorphisms of 1L-17F (rs 763780) and 1L-17A (rs 2275913) Genes in Ouagadougou and Kara</title>
        <p>The frequency of genotypes of the rs2275913 polymorphism of the 1L-17A gene was 91.4%, 7.5%, and 1.1% in Ouagadougou, and 91.23%, 7.90%, and 3.23% in Kara, respectively, for the GG, GA, and AA genotypes. Similarly, the frequency of</p>
        <p><bold>Table 3</bold><bold>.</bold> Distribution of polymorphisms of the 1L-17A gene (rs 2275913) in Ouagadougou and Kara.</p>
        <table-wrap id="tbl3">
          <label>Table 3</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2" rowspan="2">
                  <bold>Characteristics</bold>
                </td>
                <td colspan="3">
                  <bold>Genotypes</bold>
                </td>
                <td>
                  <bold>p-value</bold>
                </td>
                <td colspan="2">
                  <bold>Allele</bold>
                </td>
                <td>
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td>GG</td>
                <td>AG</td>
                <td>AA</td>
                <td>
                </td>
                <td>G</td>
                <td>A</td>
                <td>
                </td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>1L-17A (rs 2275913)-Ouagadougou</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="2">Age</td>
                <td>Under 40 years old</td>
                <td>66</td>
                <td>5</td>
                <td>0</td>
                <td rowspan="2">0.4</td>
                <td>137</td>
                <td>5</td>
                <td rowspan="2">0.13</td>
              </tr>
              <tr>
                <td>More than 40 years</td>
                <td>19</td>
                <td>2</td>
                <td>1</td>
                <td>40</td>
                <td>4</td>
              </tr>
              <tr>
                <td rowspan="2">HPV status</td>
                <td>Positive</td>
                <td>48</td>
                <td>3</td>
                <td>0</td>
                <td rowspan="2">0.42</td>
                <td>99</td>
                <td>3</td>
                <td rowspan="2">0.18</td>
              </tr>
              <tr>
                <td>Negative</td>
                <td>37</td>
                <td>4</td>
                <td>1</td>
                <td>78</td>
                <td>6</td>
              </tr>
              <tr>
                <td rowspan="2">Age at first sexual intercourse</td>
                <td>Under 20 years old</td>
                <td>55</td>
                <td>5</td>
                <td>1</td>
                <td rowspan="2">0.005</td>
                <td>115</td>
                <td>7</td>
                <td rowspan="2">0.45</td>
              </tr>
              <tr>
                <td>More than 20 years old</td>
                <td>29</td>
                <td>2</td>
                <td>0</td>
                <td>60</td>
                <td>2</td>
              </tr>
              <tr>
                <td rowspan="2">Gestation</td>
                <td>0 - 4</td>
                <td>66</td>
                <td>5</td>
                <td>1</td>
                <td rowspan="2">0.042</td>
                <td>137</td>
                <td>7</td>
                <td rowspan="2">0.97</td>
              </tr>
              <tr>
                <td>More than 4</td>
                <td>19</td>
                <td>2</td>
                <td>0</td>
                <td>40</td>
                <td>2</td>
              </tr>
              <tr>
                <td rowspan="2">Parity</td>
                <td>0 - 4</td>
                <td>73</td>
                <td>5</td>
                <td>1</td>
                <td rowspan="2">0.07</td>
                <td>151</td>
                <td>7</td>
                <td rowspan="2">0.47</td>
              </tr>
              <tr>
                <td>More than 4</td>
                <td>11</td>
                <td>2</td>
                <td>0</td>
                <td>24</td>
                <td>2</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>1L-17A (rs 2275913)-Kara</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="2">Age</td>
                <td>0 - 39 years old</td>
                <td>77</td>
                <td>6</td>
                <td>1</td>
                <td rowspan="2">0.98</td>
                <td>160</td>
                <td>8</td>
                <td rowspan="2">0.94</td>
              </tr>
              <tr>
                <td>More than 40 years old</td>
                <td>27</td>
                <td>3</td>
                <td>0</td>
                <td>57</td>
                <td>3</td>
              </tr>
              <tr>
                <td rowspan="2">HPV Status</td>
                <td>Positive</td>
                <td>58</td>
                <td>6</td>
                <td>0</td>
                <td rowspan="2">0.42</td>
                <td>122</td>
                <td>6</td>
                <td rowspan="2">0.93</td>
              </tr>
              <tr>
                <td>Negative</td>
                <td>47</td>
                <td>3</td>
                <td>1</td>
                <td>97</td>
                <td>5</td>
              </tr>
              <tr>
                <td rowspan="2">Age at first sexual intercourse</td>
                <td>0 - 19 years old</td>
                <td>70</td>
                <td>7</td>
                <td>0</td>
                <td rowspan="2">
                  <bold>0</bold>
                  <bold>.</bold>
                  <bold>016</bold>
                </td>
                <td>147</td>
                <td>7</td>
                <td rowspan="2">0.77</td>
              </tr>
              <tr>
                <td>More than 20</td>
                <td>34</td>
                <td>2</td>
                <td>1</td>
                <td>70</td>
                <td>4</td>
              </tr>
              <tr>
                <td rowspan="2">Gestation</td>
                <td>0 - 4</td>
                <td>82</td>
                <td>8</td>
                <td>1</td>
                <td rowspan="2">0.98</td>
                <td>172</td>
                <td>10</td>
                <td rowspan="2">0.34</td>
              </tr>
              <tr>
                <td>More than 4</td>
                <td>22</td>
                <td>1</td>
                <td>0</td>
                <td>45</td>
                <td>1</td>
              </tr>
              <tr>
                <td rowspan="2">Parity</td>
                <td>0 - 4</td>
                <td>91</td>
                <td>8</td>
                <td>1</td>
                <td rowspan="2">0.92</td>
                <td>190</td>
                <td>10</td>
                <td rowspan="2">0.74</td>
              </tr>
              <tr>
                <td>More than 4</td>
                <td>13</td>
                <td>1</td>
                <td>0</td>
                <td>27</td>
                <td>1</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>genotypes of the rs763780 polymorphism of the 1L-17F gene was 74.42%, 19.35% and 3.23% in Ouagadougou and 89.50%, 10.50% and 0.00% in Kara, respectively for the TT, TC and CC genotypes.</p>
        <p>The mutation rates of rs 2275913 and rs 763780 polymorphisms were 4.84% and 12.90% for Ouagadougou, respectively, compared to 4.83% and 5.26% for Kara (<bold>Table 4</bold>).</p>
      </sec>
      <sec id="sec3dot5">
        <title>3.5. Comparison of Polymorphisms of 1L-17A (rs 2275913) and 1L-17F (rs763780) between CC and Controls in Ouagadougou</title>
        <p><bold>Table 5</bold> compares the polymorphisms of 1L-17A (rs 2275913) and 1L-17F (rs763780) between CC patients and controls with no history of CC in Ouagadougou. There is no statistically significant difference between the genotypes of the polymorphisms of 1L-17A (rs 2275913) and 1L-17F (rs763780), cases of cervical cancer, and controls in Ouagadougou in this study.</p>
        <p><bold>Table 4</bold><bold>.</bold> Distribution of polymorphisms of genes 1L-17F (rs 763780) and 1L-17A (rs 2275913) in Ouagadougou and Kara.</p>
        <table-wrap id="tbl4">
          <label>Table 4</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2">
                  <bold>Genotypes</bold>
                </td>
                <td>
                  <bold>Effective</bold>
                </td>
                <td>
                  <bold>Frequency (%)</bold>
                </td>
                <td>
                  <bold>Alleles</bold>
                </td>
                <td>
                  <bold>Frequency (%)</bold>
                </td>
              </tr>
              <tr>
                <td colspan="6">
                  <bold>Ouagadougou</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="4">
                  <bold>1L-17A</bold>
                  <bold>(rs 2275913)</bold>
                </td>
                <td>GG</td>
                <td>85</td>
                <td>91.4</td>
                <td rowspan="2">G</td>
                <td rowspan="2">95.16</td>
              </tr>
              <tr>
                <td>GA</td>
                <td>7</td>
                <td>7.5</td>
              </tr>
              <tr>
                <td>AA</td>
                <td>1</td>
                <td>1.1</td>
                <td rowspan="2">A</td>
                <td rowspan="2">4.84</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>93</td>
                <td>100</td>
              </tr>
              <tr>
                <td>
                  <bold>HWE (p-value)</bold>
                </td>
                <td colspan="5">0.79</td>
              </tr>
              <tr>
                <td rowspan="4">
                  <bold>1L-17F (rs 763780)</bold>
                </td>
                <td>TT</td>
                <td>72</td>
                <td>74.42</td>
                <td rowspan="2">T</td>
                <td rowspan="2">87.10</td>
              </tr>
              <tr>
                <td>TC</td>
                <td>18</td>
                <td>19.35</td>
              </tr>
              <tr>
                <td>CC</td>
                <td>3</td>
                <td>3.23</td>
                <td rowspan="2">C</td>
                <td rowspan="2">12.9</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>93</td>
                <td>100</td>
              </tr>
              <tr>
                <td>
                  <bold>HWE (p-value)</bold>
                </td>
                <td colspan="5">0.73</td>
              </tr>
              <tr>
                <td colspan="6">
                  <bold>Kara</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="4">
                  <bold>1L-17A (rs 2275913)</bold>
                </td>
                <td>GG</td>
                <td>104</td>
                <td>91.23</td>
                <td rowspan="2">G</td>
                <td rowspan="2">95.17</td>
              </tr>
              <tr>
                <td>GA</td>
                <td>9</td>
                <td>7.90</td>
              </tr>
              <tr>
                <td>AA</td>
                <td>1</td>
                <td>0.87</td>
                <td rowspan="2">A</td>
                <td rowspan="2">4.83</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>114</td>
                <td>100</td>
              </tr>
              <tr>
                <td>
                  <bold>HWE (p-value)</bold>
                </td>
                <td colspan="5">0.81</td>
              </tr>
              <tr>
                <td rowspan="4">
                  <bold>1L-17F</bold>
                  <bold>(rs 763780)</bold>
                </td>
                <td>TT</td>
                <td>102</td>
                <td>89.5</td>
                <td rowspan="2">T</td>
                <td rowspan="2">94.74</td>
              </tr>
              <tr>
                <td>TC</td>
                <td>12</td>
                <td>10.5</td>
              </tr>
              <tr>
                <td>CC</td>
                <td>00</td>
                <td>00</td>
                <td rowspan="2">C</td>
                <td rowspan="2">5.26</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>114</td>
                <td>100</td>
              </tr>
              <tr>
                <td>
                  <bold>HWE (p-value)</bold>
                </td>
                <td colspan="5">1</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>Table 5</bold><bold>.</bold> Comparison of polymorphisms of 1L-17A (rs 2275913) and 1L-17F (rs763780) between CC and controls in Ouagadougou.</p>
        <table-wrap id="tbl5">
          <label>Table 5</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Genotypes/</bold>
                  <bold>Allele</bold>
                </td>
                <td>
                  <bold>Cervical cancer (%)</bold>
                  <bold>N = 44</bold>
                </td>
                <td>
                  <bold>Control (%)</bold>
                  <bold>N = 93</bold>
                </td>
                <td>
                  <bold>P</bold>
                  <bold>-value</bold>
                </td>
                <td>
                  <bold>OR (IC 95%)</bold>
                </td>
              </tr>
              <tr>
                <td colspan="5">
                  <bold>rs 2275913</bold>
                </td>
              </tr>
              <tr>
                <td>GG</td>
                <td>37 (84.10)</td>
                <td>85 (91.40)</td>
                <td>Ref.</td>
                <td>---</td>
              </tr>
              <tr>
                <td>GA</td>
                <td>7 (15.90)</td>
                <td>7 (7.52)</td>
                <td>0.13</td>
                <td>2.29 (0.7 - 7.0)</td>
              </tr>
              <tr>
                <td>AA</td>
                <td>0 (00)</td>
                <td>1 (1.08)</td>
                <td>NA</td>
                <td>NA</td>
              </tr>
              <tr>
                <td>GA/AA</td>
                <td>7 (15.90)</td>
                <td>8 (8.60)</td>
                <td>0.07</td>
                <td>2.62 (0.8 - 7.7)</td>
              </tr>
              <tr>
                <td colspan="5">
                  <bold>Allele</bold>
                </td>
              </tr>
              <tr>
                <td>G</td>
                <td>81 (92.04)</td>
                <td>177 (95.16)</td>
                <td>Ref.</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>A</td>
                <td>7 (8.96)</td>
                <td>9 (4.84)</td>
                <td>0.30</td>
                <td>0.58 (0.2 - 1.6)</td>
              </tr>
              <tr>
                <td colspan="5">
                  <bold>rs 763780</bold>
                </td>
              </tr>
              <tr>
                <td>TT</td>
                <td>34 (77.27)</td>
                <td>72 (77.42)</td>
                <td>Ref.</td>
                <td>
                </td>
              </tr>
              <tr>
                <td>TC</td>
                <td>7 (15.91)</td>
                <td>18 (19.35)</td>
                <td>0.69</td>
                <td>1.21 (0.4 - 3.1)</td>
              </tr>
              <tr>
                <td>CC</td>
                <td>3 (6.82)</td>
                <td>3 (3.23)</td>
                <td>0.36</td>
                <td>0.47 (0.09 - 2.46)</td>
              </tr>
              <tr>
                <td>CT/CC</td>
                <td>10 (22.73)</td>
                <td>21 (22.58)</td>
                <td>0.98</td>
                <td>0.99 (0.4 - 2.3)</td>
              </tr>
              <tr>
                <td colspan="5">
                  <bold>Allele</bold>
                </td>
              </tr>
              <tr>
                <td>T</td>
                <td>75 (85.23)</td>
                <td>162 (87.10)</td>
                <td>
                  <bold>Ref</bold>
                  <bold>.</bold>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>C</td>
                <td>13 (14.77)</td>
                <td>24 (12.90)</td>
                <td>0.67</td>
                <td>0.85 (0.4 - 1.7)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot6">
        <title>3.6. Distribution of Polymorphisms of the 1L-17F Gene (rs763780) According to Characteristics in Ouagadougou and Kara</title>
        <p>In the city of Kara, IL-17F (rs763780) genotypes are influenced by characteristics such as gestation and number of abortions. Gestation was associated with the allele type of the IL-17F (rs763780) gene in Ouagadougou. Multi-infection with high-risk oncogenic HPV genotypes, HPV status, and HPV 30S were correlated with IL-17F (rs763780) polymorphism genotypes in Kara. In addition, HPV status significantly affected IL-17F (rs763780) alleles in Kara (<bold>Table 6</bold>).</p>
        <p><bold>Table 6</bold><bold>.</bold> Distribution of IL-17F gene polymorphisms (rs763780) according to characteristics in Ouagadougou and Kara.</p>
        <table-wrap id="tbl6">
          <label>Table 6</label>
          <table>
            <tbody>
              <tr>
                <td colspan="2" rowspan="2">
                  <bold>Characteristics</bold>
                </td>
                <td colspan="3">
                  <bold>Genotypes</bold>
                </td>
                <td>
                  <bold>p-value</bold>
                </td>
                <td colspan="2">
                  <bold>Allele</bold>
                </td>
                <td rowspan="1">
                  <bold>p-value</bold>
                </td>
              </tr>
              <tr>
                <td>TT</td>
                <td>TC</td>
                <td>CC</td>
                <td>
                </td>
                <td>T</td>
                <td>C</td>
              </tr>
              <tr>
                <td>
                </td>
                <td colspan="8">
                  <bold>IL-17F (rs763780)</bold>
                  <bold>—</bold>
                  <bold>Ouagadougou</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Age</bold>
                </td>
                <td>Under 40 years old</td>
                <td>55</td>
                <td>13</td>
                <td>3</td>
                <td rowspan="2">0.13</td>
                <td>123</td>
                <td>19</td>
                <td rowspan="2">0.72</td>
              </tr>
              <tr>
                <td>More than 40 years old</td>
                <td>17</td>
                <td>5</td>
                <td>0</td>
                <td>39</td>
                <td>5</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>HPV Status</bold>
                </td>
                <td>Positive</td>
                <td>37</td>
                <td>13</td>
                <td>1</td>
                <td rowspan="2">0.21</td>
                <td>87</td>
                <td>15</td>
                <td rowspan="2">0.42</td>
              </tr>
              <tr>
                <td>Negative</td>
                <td>35</td>
                <td>5</td>
                <td>2</td>
                <td>75</td>
                <td>9</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Age of first sexual intercourse</bold>
                </td>
                <td>Under 20 years old</td>
                <td>46</td>
                <td>14</td>
                <td>1</td>
                <td rowspan="2">0.6</td>
                <td>106</td>
                <td>16</td>
                <td rowspan="2">0.96</td>
              </tr>
              <tr>
                <td>More than 20 years old</td>
                <td>25</td>
                <td>4</td>
                <td>2</td>
                <td>54</td>
                <td>8</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Gestation</bold>
                </td>
                <td>0 - 4</td>
                <td>58</td>
                <td>12</td>
                <td>2</td>
                <td rowspan="2">0.001</td>
                <td>128</td>
                <td>14</td>
                <td rowspan="2">0.02</td>
              </tr>
              <tr>
                <td>More than 4</td>
                <td>14</td>
                <td>6</td>
                <td>1</td>
                <td>34</td>
                <td>10</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Parity</bold>
                </td>
                <td>0 - 4</td>
                <td>64</td>
                <td>13</td>
                <td>2</td>
                <td rowspan="2">0.10</td>
                <td>141</td>
                <td>17</td>
                <td rowspan="2">0.07</td>
              </tr>
              <tr>
                <td>More than 4</td>
                <td>8</td>
                <td>4</td>
                <td>1</td>
                <td>20</td>
                <td>6</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Number of abortions</bold>
                </td>
                <td>Yes</td>
                <td>50</td>
                <td>12</td>
                <td>2</td>
                <td rowspan="2">0.05</td>
                <td>112</td>
                <td>16</td>
                <td rowspan="2">0.5</td>
              </tr>
              <tr>
                <td>No</td>
                <td>22</td>
                <td>6</td>
                <td>1</td>
                <td>30</td>
                <td>8</td>
              </tr>
              <tr>
                <td colspan="9">
                  <bold>IL-17F (rs763780)</bold>
                  <bold>—</bold>
                  <bold>Kara</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>HPV Genotypes</bold>
                </td>
                <td>Multi-infection</td>
                <td>13</td>
                <td>4</td>
                <td>0</td>
                <td rowspan="2">0.022</td>
                <td>30</td>
                <td>4</td>
                <td rowspan="2">0.31</td>
              </tr>
              <tr>
                <td>Single-infection</td>
                <td>41</td>
                <td>6</td>
                <td>0</td>
                <td>88</td>
                <td>6</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>HPV Status</bold>
                </td>
                <td>Positive</td>
                <td>54</td>
                <td>10</td>
                <td>0</td>
                <td rowspan="2">0.041</td>
                <td>118</td>
                <td>10</td>
                <td rowspan="2">0.047</td>
              </tr>
              <tr>
                <td>Negative</td>
                <td>49</td>
                <td>2</td>
                <td>0</td>
                <td>100</td>
                <td>2</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>HPV 30S</bold>
                </td>
                <td>Yes</td>
                <td>13</td>
                <td>5</td>
                <td>0</td>
                <td rowspan="2">0.009</td>
                <td>31</td>
                <td>5</td>
                <td rowspan="2">0.11</td>
              </tr>
              <tr>
                <td>No</td>
                <td>41</td>
                <td>5</td>
                <td>0</td>
                <td>87</td>
                <td>5</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Gestation</bold>
                </td>
                <td>0 - 4</td>
                <td>79</td>
                <td>12</td>
                <td>0</td>
                <td rowspan="2">0.55</td>
                <td>170</td>
                <td>12</td>
                <td rowspan="2">0.07</td>
              </tr>
              <tr>
                <td>More than 4</td>
                <td>23</td>
                <td>0</td>
                <td>0</td>
                <td>46</td>
                <td>0</td>
              </tr>
              <tr>
                <td rowspan="2">
                  <bold>Parity</bold>
                </td>
                <td>0 - 4</td>
                <td>88</td>
                <td>12</td>
                <td>0</td>
                <td rowspan="2">0.31</td>
                <td>188</td>
                <td>12</td>
                <td rowspan="2">0.18</td>
              </tr>
              <tr>
                <td>More than 4</td>
                <td>14</td>
                <td>0</td>
                <td>0</td>
                <td>28</td>
                <td>00</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot7">
        <title>3.7. Genotypes and Alleles Frequencies According to the HPV Status in Kara</title>
        <p><bold>Table 7</bold> shows the genotype and allele frequencies of the two polymorphisms rs 2275913 and rs763780 in sexually active women in the city of Kara according to HPV status. The rs763780 genotypes were associated with HPV status. The C allele and CT/CC genotypes were favorable to infection with high-risk oncogenic HPV. </p>
        <p><bold>Table 7</bold><bold>.</bold> Genotypic and allelic frequency of rs 2275913 and rs763780 according to HPV status in Kara.</p>
        <table-wrap id="tbl7">
          <label>Table 7</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>Genotypes/</bold>
                  <bold>Allele</bold>
                </td>
                <td>
                  <bold>HPV</bold>
                  <bold>
                    <sup>+</sup>
                  </bold>
                  <bold>(%)</bold>
                  <bold>N = 64</bold>
                </td>
                <td>
                  <bold>HPV</bold>
                  <bold>
                    <sup>−</sup>
                  </bold>
                  <bold>(%)</bold>
                  <bold>N = 51</bold>
                </td>
                <td>
                  <bold>P</bold>
                  <bold>-value</bold>
                </td>
                <td>
                  <bold>OR</bold>
                  <bold>(IC 95%)</bold>
                </td>
              </tr>
              <tr>
                <td colspan="5">
                  <bold>rs 2275913</bold>
                </td>
              </tr>
              <tr>
                <td>GG</td>
                <td>58 (84.10)</td>
                <td>47 (91.40)</td>
                <td>
                  <bold>Ref</bold>
                  <bold>.</bold>
                </td>
                <td>
                  <bold>Ref</bold>
                  <bold>.</bold>
                </td>
              </tr>
              <tr>
                <td>GA</td>
                <td>6 (15.90)</td>
                <td>3 (7.52)</td>
                <td>0,5</td>
                <td>0.60 (0.1 - 2.5)</td>
              </tr>
              <tr>
                <td>AA</td>
                <td>0 (00)</td>
                <td>1 (1.08)</td>
                <td>NA</td>
                <td>NA</td>
              </tr>
              <tr>
                <td>GA/AA</td>
                <td>6 (15.90)</td>
                <td>4 (8.60)</td>
                <td>0.77</td>
                <td>0.82 (0.2 - 3.0)</td>
              </tr>
              <tr>
                <td colspan="5">
                  <bold>Allele</bold>
                </td>
              </tr>
              <tr>
                <td>G</td>
                <td>122 (95.31)</td>
                <td>97 (95.10)</td>
                <td>
                  <bold>Ref</bold>
                  <bold>.</bold>
                </td>
                <td>
                  <bold>Ref</bold>
                  <bold>.</bold>
                </td>
              </tr>
              <tr>
                <td>A</td>
                <td>6 (4.69)</td>
                <td>5 (4.90)</td>
                <td>0.93</td>
                <td>1.04 (0.3 - 3.5)</td>
              </tr>
              <tr>
                <td colspan="5">
                  <bold>rs763780</bold>
                </td>
              </tr>
              <tr>
                <td>TT</td>
                <td>54 (84.37)</td>
                <td>49 (96.08)</td>
                <td>
                  <bold>Ref</bold>
                  .
                </td>
                <td>
                  <bold>Ref</bold>
                  <bold>.</bold>
                </td>
              </tr>
              <tr>
                <td>TC</td>
                <td>10 (15.63)</td>
                <td>2 (3.92)</td>
                <td>0.041</td>
                <td>0.22 (0.04 - 1.05)</td>
              </tr>
              <tr>
                <td>CC</td>
                <td>0 (00)</td>
                <td>0 (3.23)</td>
                <td>NA</td>
                <td>NA</td>
              </tr>
              <tr>
                <td>CT/CC</td>
                <td>10 (15.63)</td>
                <td>2 (3.92)</td>
                <td>0.041</td>
                <td>0.22 (0.04 - 1.05)</td>
              </tr>
              <tr>
                <td colspan="5">
                  <bold>Allele</bold>
                </td>
              </tr>
              <tr>
                <td>T</td>
                <td>118 (92.19)</td>
                <td>100 (98.04)</td>
                <td>
                  <bold>Ref</bold>
                  <bold>.</bold>
                </td>
                <td>
                  <bold>Ref</bold>
                  <bold>.</bold>
                </td>
              </tr>
              <tr>
                <td>C</td>
                <td>10 (7.81)</td>
                <td>2 (1.96)</td>
                <td>0.047</td>
                <td>0.23 (0.05 - 1.10)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p><bold>Ref =</bold>reference.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>Cancer is a major global public health issue. In recent years, genetic susceptibility to cancer has attracted increasing attention in the study of genetic polymorphisms in tumorigenesis [<xref ref-type="bibr" rid="B16">16</xref>]. The association between inflammation and cytokines plays a key role in the transformation of the epithelium of a precancerous lesion into cervical cancer. Chronic inflammation is a necessary step in maintaining and promoting cancer progression, such as tumor tissue reconstruction, angiogenesis, metastasis, and suppression of the innate anti-cancer immune response [<xref ref-type="bibr" rid="B17">17</xref>]. Genetic and epigenetic mutations associated with HPV infection could trigger and maintain cell transformation and autonomous proliferation of transformed cervical cells, leading to cancerous proliferation. Numerous studies conducted in Burkina Faso have shown a high prevalence of HR-HPV likely to progress to cancer, and most of the genotypes found are not covered by the available vaccines [<xref ref-type="bibr" rid="B18">18</xref>]-[<xref ref-type="bibr" rid="B28">28</xref>]. Furthermore, susceptibility to HPV could be affected by polymorphisms in genes involved in the immune response, which could prevent the progression of cervical lesions, particularly NK cells.</p>
      <p>The main objective of this case-control study was to analyze the association between IL-17A (rs 2275913) and IL-17F (rs 763780) SNPs and their involvement in the development of cervical cancer in Burkina Faso, as well as their association with HPV infection in Togo. The results reveal that certain behavioral characteristics of women are involved in the manifestation of IL-17A (rs 2275913) and IL-17F (rs 763780) polymorphisms and HPV infection. Indeed, the age of first sexual intercourse was statistically associated with HPV infection in Kara. This result confirms the study in Burkina Faso, which found a statistically significant association between age at first sexual intercourse and HPV infection [<xref ref-type="bibr" rid="B29">29</xref>]. As HPV is mainly transmitted through sexual intercourse, it is important to be aware that early sexual intercourse can be a risk factor for HPV infection [<xref ref-type="bibr" rid="B30">30</xref>]. Studies have suggested age as a risk factor for HPV infection, but the age of first sexual intercourse remains a risk factor to be confirmed [<xref ref-type="bibr" rid="B26">26</xref>]. Certain characteristics, such as age at first sexual intercourse and pregnancy, were associated with IL-17A genotypes (rs 2275913) in Ouagadougou and age at first sexual intercourse in Kara. Gestation was associated with the allele type of the IL-17F gene (rs 763780) in Ouagadougou. These characteristics are much more strongly associated with HPV infection in Burkina Faso. Unfortunately, several studies on IL-17 in patients with cervical cancer have not reported an association between IL-17 polymorphisms and characteristics such as age at first sexual intercourse, parity, and number of births [<xref ref-type="bibr" rid="B13">13</xref>][<xref ref-type="bibr" rid="B31">31</xref>][<xref ref-type="bibr" rid="B32">32</xref>]. Nevertheless, our results corroborate those of Cong <italic>et al</italic>., who also found an association between age and primiparity [<xref ref-type="bibr" rid="B16">16</xref>]. These results provide a probable indication of the long-term involvement of IL-17 polymorphisms in the progression of cervical cancer.</p>
      <p>The G and A alleles were not associated with the various characteristics studied in the two cities. The frequency of genotypes of the rs 2275913 polymorphism of the IL-17A gene was 91.4%, 7.5%, and 1.1% for the GG, GA, and AA genotypes in Ouagadougou, and 91.23%, 7.90%, and 3.23% in Kara, respectively. Similarly, the frequency of genotypes of the rs 763780 polymorphism of the IL-17F gene was 74.42%, 19.35% and 3.23% for the TT, TC and CC genotypes in Ouagadougou and 89.50%, 10.50% and 0.00% respectively in Kara. There was an almost homogeneous distribution of the two IL-17 polymorphisms studied in Ouagadougou and Kara. Elsissy <italic>et al</italic>. found in a case-control study of an Egyptian population with acute myeloid leukemia proportions of 64%, 22.5% and 13.5% for the TT, TC and CC genotypes for IL-17F respectively, and 30.5%, 16.5%, and 53% for the AA, AG, and GG genotypes of IL-17A, respectively [<xref ref-type="bibr" rid="B33">33</xref>]. Although the authors indicated an association between IL-17A and IL-17F polymorphisms and acute myeloid leukemia, these results once again highlight the genetic diversity in Africa. In addition, Quan <italic>et al</italic>. reported that in a Chinese population with cervical cancer, they found frequencies of 17.3%, 46.4%, and 36.3% for the AA, AG, and GG genotypes of IL-17A, respectively, and 71.4%, 27.3% and 1.3% for the TT, TC and CC genotypes for IL-17F, respectively [<xref ref-type="bibr" rid="B5">5</xref>]. The mutation rates for polymorphisms rs 2275913 and rs 763780 were 4.84% and 12. 90% for Ouagadougou, compared to 4.83% and 5.26% for Kara. These mutation rates, which are almost identical in Burkina Faso and Togo, differ from the results of Quan <italic>et al</italic>. The ethnic mixing, lifestyle, and almost identical climate of the two countries could explain these results.</p>
      <p>In our study, there was no statistically significant difference between the genotypes of IL-17A (rs 2275913) and IL-17F (rs 763780) polymorphisms, cervical cancer cases, and controls in Ouagadougou. Quan <italic>et al</italic>. reported the same results for IL-17F (rs 763780). However, they found a statistically significant association for IL-17A (rs 2275913). Dai <italic>et al</italic>. found the same results as Quan <italic>et al</italic>. in a population with cervical cancer [<xref ref-type="bibr" rid="B34">34</xref>]. This difference with our results could be explained by the size of our samples and, above all, the number of cancer cases.</p>
      <p>Multi-infection with high-risk oncogenic HPV genotypes, HPV status, and HPV 30S were correlated with IL-17F (rs 763780) polymorphism genotypes in Kara. These risk factors contribute significantly to the development of cervical cancer. In addition, HPV status significantly affected IL-17F (rs 763780) alleles in Kara. This variant might influence the immune response to HPV infection.</p>
      <p>The rs 763780 genotypes were associated with HPV status, and the C allele and CT/CC genotypes were associated with persistent infection with high-risk oncogenic HPV. Persistent HPV infection is the main cause of cervical cancer. Lv <italic>et al</italic>. reported results that were partially similar to ours. They suggested that IL-17 was associated with high-risk HPV infection, particularly HPV 16 and HPV 18 [<xref ref-type="bibr" rid="B35">35</xref>].</p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusion</title>
      <p>The results of this study indicate that IL-17A and IL-17F polymorphisms are not associated with susceptibility to cervical cancer in our study population. The pathophysiological characteristics of cervical cancer are not affected by the polymorphisms. Certain patient characteristics have an influence on HPV infection and on IL-17A and IL-17F polymorphisms. It would be interesting to continue this study, taking into account certain shortcomings such as the low number of cancer cases and the relatively small size of the study population. These results suggest future research directions for genetic susceptibility to cervical cancer in this population, given that these particular SNPs do not appear to be major risk factors.</p>
    </sec>
    <sec id="sec6">
      <title>Acknowledgements</title>
      <p>We thank the “International Center for Genetic Engineering and Biotechnology (ICGEB)” for funding this research work through the project: “Implication of the host genetic factor in Human Papillomavirus Infection and its associated Cervical Lesions and cancer in West African Women.” Ref. No. CRP/BFA17-01. We also thank the UNESCO chair in “Génie génétique et Biologie Moléculaire” for the technical support.</p>
    </sec>
    <sec id="sec7">
      <title>Author Contributions</title>
      <p>This work was carried out in collaboration among all authors. All authors contributed equally to conception and design of this study. All authors read and approved the final manuscript.</p>
    </sec>
    <sec id="sec8">
      <title>Ethical Consideration</title>
      <p>This study was approved by the National Health Research Ethics Committee of Burkina Faso under No. 2018-01-012.</p>
    </sec>
  </body>
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      </ref>
    </ref-list>
  </back>
</article>