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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    cellbio
   </journal-id>
   <journal-title-group>
    <journal-title>
     CellBio
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2325-7776
   </issn>
   <issn publication-format="print">
    2325-7792
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/cellbio.2025.142002
   </article-id>
   <article-id pub-id-type="publisher-id">
    cellbio-142933
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Biomedical 
     </subject>
     <subject>
       Life Sciences, Medicine 
     </subject>
     <subject>
       Healthcare
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    Epidemiological, Clinical, Radiological and Histopathological Aspects of Female Breast Cancer in the Gbêkê Region (Bouaké)
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Faїza
      </surname>
      <given-names>
       Alassani
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Vincent
      </surname>
      <given-names>
       Yapo
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref> 
     <xref ref-type="aff" rid="aff4"> 
      <sup>4</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Ibrahiman
      </surname>
      <given-names>
       Touré
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Yaya
      </surname>
      <given-names>
       Samaké
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff5"> 
      <sup>5</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Issouf
      </surname>
      <given-names>
       Bamba
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff3"> 
      <sup>3</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Sarhatou
      </surname>
      <given-names>
       Kamara
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff6"> 
      <sup>6</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Lazare
      </surname>
      <given-names>
       Touré
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff7"> 
      <sup>7</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Dagoun Elysée
      </surname>
      <given-names>
       Boko
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff5"> 
      <sup>5</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Darya
      </surname>
      <given-names>
       Kizub
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff8"> 
      <sup>8</sup>
     </xref>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Kouamé Justin
      </surname>
      <given-names>
       N’dah
      </given-names>
     </name> 
     <xref ref-type="aff" rid="aff1"> 
      <sup>1</sup>
     </xref> 
     <xref ref-type="aff" rid="aff2"> 
      <sup>2</sup>
     </xref>
    </contrib>
   </contrib-group> 
   <aff id="aff1">
    <addr-line>
     aDepartment of Medical Sciences, Alassane Ouattara University of Bouaké, Bouaké, Côte d’Ivoire
    </addr-line> 
   </aff> 
   <aff id="aff2">
    <addr-line>
     aPathology Department, Teaching Hospital of Bouaké, Bouaké, Côte d’Ivoire
    </addr-line> 
   </aff> 
   <aff id="aff3">
    <addr-line>
     aCenter for the Diagnostic and Research on AIDS (CeDReS), Abidjan, Côte d’Ivoire
    </addr-line> 
   </aff> 
   <aff id="aff4">
    <addr-line>
     aDepartment of Pharmacy, Felix Houphouët Boigny University of Abidjan, Abidjan, Côte d’Ivoire
    </addr-line> 
   </aff> 
   <aff id="aff5">
    <addr-line>
     aObstetrics and Gynecology Department, Teaching Hospital of Bouaké, Bouaké, Côte d’Ivoire
    </addr-line> 
   </aff> 
   <aff id="aff6">
    <addr-line>
     aMedical Biology Service Department, Teaching Hospital of Cocody-Angré, Abidjan, Côte d’Ivoire
    </addr-line> 
   </aff> 
   <aff id="aff7">
    <addr-line>
     aMedical Oncology Department, Teaching Hospital of Bouaké, Bouaké, Côte d’Ivoire
    </addr-line> 
   </aff> 
   <aff id="aff8">
    <addr-line>
     aMD Anderson Cancer Center, The University of Texas, Houston, USA
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     29
    </day> 
    <month>
     05
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    14
   </volume> 
   <issue>
    02
   </issue>
   <fpage>
    13
   </fpage>
   <lpage>
    22
   </lpage>
   <history>
    <date date-type="received">
     <day>
      25,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year>
    </date>
    <date date-type="published">
     <day>
      26,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      26,
     </day>
     <month>
      May
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    Breast cancer is the leading cancer among women in Côte d’Ivoire. The majority of studies on female cancer in Côte d’Ivoire have been carried out in Abidjan, the country’s economic capital. Existing studies do not include aspects related to the use of hormonal contraceptives or the BIRADS classification in the Gbêkê region, whose capital city is Bouaké. The aim of the work was to determine the epidemiological, radiological and histopathological features of female breast cancer in Bouaké. This cross-sectional study was carried out over a period of 16 months (September 2023-January 2025). The patients came from the five screening and management sites for breast pathologies in the Gbêkê region. These sites were supported by the gynecology, medical oncology, radiology and pathology services of the Teaching Hospital of Bouaké. The study population consisted of 43 patients with breast cancer. The average age was 43.8 ± 11.0 with extremes at 24 and 71 years. The participants were predominantly multiparous (62.8%) and premenopausal (72.1%) women. Nearly half of them were unemployed (46.5%). The frequency of contraceptive use was 9.3%. The radiological data were used to classify breast tumors according to the Breast Imaging Reporting And Data System (BIRADS). The BIRADS 4 group was widely encountered in these patients (79.1%), followed by BIRADS 5 group (20.9%). The histopathological examination revealed a predominance of non-specific infiltrating carcinomas (95.3%). However, these carcinomas were not statistically related to the menopausal status (p = 0.368) of the affected women. The creation of a cancer institute with specialized units in Bouaké would improve patient care.
   </abstract>
   <kwd-group> 
    <kwd>
     Epidemiology
    </kwd> 
    <kwd>
      Pathology
    </kwd> 
    <kwd>
      Cancer
    </kwd> 
    <kwd>
      Breast
    </kwd> 
    <kwd>
      Bouaké
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>
    <xref ref-type="bibr" rid="scirp.142933-"></xref>Breast cancer is a real problem in Africa, and particularly in Côte d’Ivoire, where it is the leading cancer in women <xref ref-type="bibr" rid="scirp.142933-1">
     [1]
    </xref>. Its incidences vary from 31.9/100,000 in East Africa to 42.1/100,000 in West Africa, from 26.7 - 45.4/100,000 in Asia to 57.2/100,000 in South America; and from 92.6/100,000 in Western Europe to 95.1/100,000 in North America <xref ref-type="bibr" rid="scirp.142933-2">
     [2]
    </xref>. In 2022, 2,296,840 new cases of breast cancer were recorded worldwide, with 660,103 deaths attributable to it <xref ref-type="bibr" rid="scirp.142933-2">
     [2]
    </xref>. Mortality from breast cancer has been declining for some thirty years in the most industrialized countries <xref ref-type="bibr" rid="scirp.142933-3">
     [3]
    </xref>. Unfortunately, in Africa, 50% of women who die from breast cancer do not reach the age of fifty <xref ref-type="bibr" rid="scirp.142933-4">
     [4]
    </xref>. This finding is attributed partly to early diagnosis and improved treatment in the industrialized countries <xref ref-type="bibr" rid="scirp.142933-3">
     [3]
    </xref>. In Côte d’Ivoire, 3306 new cases were recorded in 2020, including 1785 deaths <xref ref-type="bibr" rid="scirp.142933-5">
     [5]
    </xref>. These figures are largely underestimated, due to a lack of resources to diagnose the disease nationwide <xref ref-type="bibr" rid="scirp.142933-6">
     [6]
    </xref>. Factors associated with late diagnosis include the lack of financial resources (36%), the sociocultural habits of the population (41.1%) and misdiagnosis (7.1%) <xref ref-type="bibr" rid="scirp.142933-5">
     [5]
    </xref>. The risk of breast cancer is increased by around 25% in women currently using oral contraceptives in Europe and North America <xref ref-type="bibr" rid="scirp.142933-7">
     [7]
    </xref>. Exogenous hormones and endocrine disruptors have also been implicated in the increased incidence of breast cancer <xref ref-type="bibr" rid="scirp.142933-8">
     [8]
    </xref> <xref ref-type="bibr" rid="scirp.142933-9">
     [9]
    </xref>. Genetic factors represented by family history of breast cancer and genetic mutations also play a role in the occurrence of the disease <xref ref-type="bibr" rid="scirp.142933-10">
     [10]
    </xref>. Available data on female breast cancer in Côte d’Ivoire come mainly from studies carried out in Abidjan, the economic capital city of Côte d’Ivoire. There is very little data concerning people affected by breast cancer living outside Abidjan, notably in Bouaké. The aim of the present study was to determine the epidemiological, radiological and pathological characteristics of female breast cancer in Bouaké.</p>
  </sec><sec id="s2">
   <title>2. Materials and Methods</title>
   <sec id="s2_1">
    <title>2.1. Type, Duration and Scope of Study</title>
    <p>This was a cross-sectional study carried out in the Gbêkê region of Côte d’Ivoire, whose capital is Bouaké. It is the country 2<sup>nd</sup> largest city, located around 350 km from Abidjan and 100 km from Yamoussoukro, the political capital city <xref ref-type="bibr" rid="scirp.142933-11">
      [11]
     </xref>. This city has a Teaching Hospital standing as the only one outside Abidjan. The study period was 16 months, starting from September 2023 to January 2025.</p>
   </sec>
   <sec id="s2_2">
    <title>2.2. Methods</title>
    <p>The patients came from five primary healthcare facilities, which were located in the neighborhoods of Sokoura, Diezoukouamekro, Koko, Dar Es Salam and Belleville in Bouaké. The program for breast cancer screening and treatment. They were supported by the Teaching Hospital, which was the central facility for the management of cases referred from the peripheral sites. The referred cases were managed by the gynecology, medical oncology, radiology and pathology services. The therapeutic itinerary of each participant started at the screening sites before heading to the gynecology, then radiology, pathology, and finally medical oncology services. Patients showing up with symptoms of breast disease such as breast nodule and/or breast discharge in these 5 peripheral centers were referred to the Teaching Hospital for a visit at the gynecology ward. At the end of the medical visit, a mammography was carried out, and the Breast Imaging Reporting And Data System (BIRADS) was performed. Participants grouped as BIRADS 4 or 5 underwent micro-biopsy of the affected breast for pathology examination. The biopsies were dehydrated, kerosene embedded, microtome sectioned, hematoxylin-eosin stained and mounted within 36 to 72 hours to avoid the consequences of cold ischemia. Patients free of carcinoma were not included. The data were collected using a survey form. The biological material consisted of several breast micro-biopsies taken from the patients at the Teaching Hospital. The technical equipment included a Histo-Line dehydration machine (Milan, Italy) and a Histo-Line Laboratories (Milan, Italy).</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. Statistical Analysis</title>
    <p>The data collection and statistical analysis were carried out using Excel 2016 and SPSS 25. The Chi-square test of independence was used to analyze the correlation between the variables studied. A probability value of p &lt; 0.05 was considered statistically significant.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Results</title>
   <sec id="s3_1">
    <title>3.1. Participant Epidemiological Data</title>
    <p>The mean age of the patients was 43.8 ± 11.0 years with extremes at 24 and 71 years. The 40 - 55 age group accounted for the largest number of patients (20 out of 43). Nearly half the patients were unemployed (46.5%). Among those who were employed, the informal sector was the most frequent (37.2%). The pre-menopausal status was predominant (72.1%). And the study population consisted mainly of multiparous women (62.8%) (<xref ref-type="table" rid="table1">
      Table 1
     </xref>).</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. Clinical Data</title>
    <p>None of the patients had a family history of breast cancer, or any known medical history. One patient had previously undergone mastectomy surgery (2.3%). The frequency of patients with comorbidities was 7%. And four (4) patients had used hormonal contraceptives, representing a frequency of 9.3% (<xref ref-type="table" rid="table2">
      Table 2
     </xref>).</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.142933-"></xref>Table 1. Epidemiological data.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="73.09%" colspan="2"><p style="text-align:center">Parameters</p></td> 
       <td class="custom-bottom-td acenter" width="19.01%"><p style="text-align:center">n (43)</p></td> 
       <td class="custom-bottom-td acenter" width="15.51%"><p style="text-align:center">% (100)</p></td> 
      </tr> 
      <tr> 
       <td rowspan="3" class="custom-top-td acenter" width="35.68%"><p style="text-align:center">Age group</p></td> 
       <td class="custom-top-td acenter" width="37.40%"><p style="text-align:center">24 - 39</p></td> 
       <td class="custom-top-td acenter" width="19.01%"><p style="text-align:center">17</p></td> 
       <td class="custom-top-td acenter" width="15.51%"><p style="text-align:center">39.5</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="37.40%"><p style="text-align:center">40 - 55</p></td> 
       <td class="acenter" width="19.01%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="15.51%"><p style="text-align:center">46.5</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="37.40%"><p style="text-align:center">56 - 71</p></td> 
       <td class="custom-bottom-td acenter" width="19.01%"><p style="text-align:center">6</p></td> 
       <td class="custom-bottom-td acenter" width="15.51%"><p style="text-align:center">14.0</p></td> 
      </tr> 
      <tr> 
       <td rowspan="4" class="custom-top-td acenter" width="35.68%"><p style="text-align:center">Number of pregnancies carried</p></td> 
       <td class="custom-top-td acenter" width="37.40%"><p style="text-align:center">Nulliparous = 0 (none)</p></td> 
       <td class="custom-top-td acenter" width="19.01%"><p style="text-align:center">7</p></td> 
       <td class="custom-top-td acenter" width="15.51%"><p style="text-align:center">16.3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="37.40%"><p style="text-align:center">Primiparous = 1</p></td> 
       <td class="acenter" width="19.01%"><p style="text-align:center">5</p></td> 
       <td class="acenter" width="15.51%"><p style="text-align:center">11.6</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="37.40%"><p style="text-align:center">Multiparous = 2 to 6</p></td> 
       <td class="acenter" width="19.01%"><p style="text-align:center">27</p></td> 
       <td class="acenter" width="15.51%"><p style="text-align:center">62.8</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="37.40%"><p style="text-align:center">Large multiparous ≥ 7</p></td> 
       <td class="custom-bottom-td acenter" width="19.01%"><p style="text-align:center">4</p></td> 
       <td class="custom-bottom-td acenter" width="15.51%"><p style="text-align:center">9.3</p></td> 
      </tr> 
      <tr> 
       <td rowspan="3" class="custom-top-td acenter" width="35.68%"><p style="text-align:center">Work</p></td> 
       <td class="custom-top-td acenter" width="37.40%"><p style="text-align:center">Civil servants</p></td> 
       <td class="custom-top-td acenter" width="19.01%"><p style="text-align:center">3</p></td> 
       <td class="custom-top-td acenter" width="15.51%"><p style="text-align:center">7.0</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="37.40%"><p style="text-align:center">Non Civil servants</p></td> 
       <td class="acenter" width="19.01%"><p style="text-align:center">20</p></td> 
       <td class="acenter" width="15.51%"><p style="text-align:center">46.5</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="37.40%"><p style="text-align:center">Unemployed</p></td> 
       <td class="custom-bottom-td acenter" width="19.01%"><p style="text-align:center">20</p></td> 
       <td class="custom-bottom-td acenter" width="15.51%"><p style="text-align:center">46.5</p></td> 
      </tr> 
      <tr> 
       <td rowspan="4" class="custom-top-td acenter" width="35.68%"><p style="text-align:center">Sector of activity</p></td> 
       <td class="custom-top-td acenter" width="37.40%"><p style="text-align:center">Informal sector</p></td> 
       <td class="custom-top-td acenter" width="19.01%"><p style="text-align:center">16</p></td> 
       <td class="custom-top-td acenter" width="15.51%"><p style="text-align:center">37.2</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="37.40%"><p style="text-align:center">Private sector</p></td> 
       <td class="acenter" width="19.01%"><p style="text-align:center">4</p></td> 
       <td class="acenter" width="15.51%"><p style="text-align:center">9.3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="37.40%"><p style="text-align:center">Public service</p></td> 
       <td class="acenter" width="19.01%"><p style="text-align:center">3</p></td> 
       <td class="acenter" width="15.51%"><p style="text-align:center">7.0</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="37.40%"><p style="text-align:center">Unemployed</p></td> 
       <td class="custom-bottom-td acenter" width="19.01%"><p style="text-align:center">20</p></td> 
       <td class="custom-bottom-td acenter" width="15.51%"><p style="text-align:center">46.5</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="35.68%"><p style="text-align:center">Menopause</p></td> 
       <td class="custom-top-td acenter" width="37.40%"><p style="text-align:center">Pre-menopause</p></td> 
       <td class="custom-top-td acenter" width="19.01%"><p style="text-align:center">31</p></td> 
       <td class="custom-top-td acenter" width="15.51%"><p style="text-align:center">72.1</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="37.40%"><p style="text-align:center">Post-menopause</p></td> 
       <td class="acenter" width="19.01%"><p style="text-align:center">12</p></td> 
       <td class="acenter" width="15.51%"><p style="text-align:center">27.9</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <table-wrap id="table2">
     <label>
      <xref ref-type="table" rid="table2">
       Table 2
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.142933-"></xref>Table 2. Clinical data.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="64.83%" colspan="2"><p style="text-align:center">Parameters</p></td> 
       <td class="custom-bottom-td acenter" width="22.02%"><p style="text-align:center">n (43)</p></td> 
       <td class="custom-bottom-td acenter" width="20.75%"><p style="text-align:center">% (100)</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="43.14%"><p style="text-align:center">Family history of breast cancer</p></td> 
       <td class="custom-top-td acenter" width="21.70%"><p style="text-align:center">No</p></td> 
       <td class="custom-top-td acenter" width="22.02%"><p style="text-align:center">43</p></td> 
       <td class="custom-top-td acenter" width="20.75%"><p style="text-align:center">100</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="21.70%"><p style="text-align:center">Yes</p></td> 
       <td class="custom-bottom-td acenter" width="22.02%"><p style="text-align:center">-</p></td> 
       <td class="custom-bottom-td acenter" width="20.75%"><p style="text-align:center">-</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="43.14%"><p style="text-align:center">Medical history</p></td> 
       <td class="custom-top-td acenter" width="21.70%"><p style="text-align:center">No</p></td> 
       <td class="custom-top-td acenter" width="22.02%"><p style="text-align:center">43</p></td> 
       <td class="custom-top-td acenter" width="20.75%"><p style="text-align:center">100</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="21.70%"><p style="text-align:center">Yes</p></td> 
       <td class="custom-bottom-td acenter" width="22.02%"><p style="text-align:center">-</p></td> 
       <td class="custom-bottom-td acenter" width="20.75%"><p style="text-align:center">-</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="43.14%"><p style="text-align:center">Surgical history</p></td> 
       <td class="custom-top-td acenter" width="21.70%"><p style="text-align:center">No</p></td> 
       <td class="custom-top-td acenter" width="22.02%"><p style="text-align:center">42</p></td> 
       <td class="custom-top-td acenter" width="20.75%"><p style="text-align:center">97.7</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="21.70%"><p style="text-align:center">Yes</p></td> 
       <td class="custom-bottom-td acenter" width="22.02%"><p style="text-align:center">1</p></td> 
       <td class="custom-bottom-td acenter" width="20.75%"><p style="text-align:center">2.3</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="43.14%"><p style="text-align:center">Comorbidities</p></td> 
       <td class="custom-top-td acenter" width="21.70%"><p style="text-align:center">No</p></td> 
       <td class="custom-top-td acenter" width="22.02%"><p style="text-align:center">40</p></td> 
       <td class="custom-top-td acenter" width="20.75%"><p style="text-align:center">93.0</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="21.70%"><p style="text-align:center">Yes</p></td> 
       <td class="custom-bottom-td acenter" width="22.02%"><p style="text-align:center">3</p></td> 
       <td class="custom-bottom-td acenter" width="20.75%"><p style="text-align:center">7.0</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="43.14%"><p style="text-align:center">Use of contraceptive drugs</p></td> 
       <td class="custom-top-td acenter" width="21.70%"><p style="text-align:center">No</p></td> 
       <td class="custom-top-td acenter" width="22.02%"><p style="text-align:center">39</p></td> 
       <td class="custom-top-td acenter" width="20.75%"><p style="text-align:center">90.7</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="21.70%"><p style="text-align:center">Yes</p></td> 
       <td class="acenter" width="22.02%"><p style="text-align:center">4</p></td> 
       <td class="acenter" width="20.75%"><p style="text-align:center">9.3</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s3_3">
    <title>3.3. Radiological Classification (BIRADS) and Histological Types</title>
    <p>The BIRADS 4 group accounted for the majority (79.1%). And the non-specific infiltrating carcinoma was overwhelmingly the main histological type diagnosed (95.3%) (<xref ref-type="table" rid="table3">
      Table 3
     </xref>).</p>
    <table-wrap id="table3">
     <label>
      <xref ref-type="table" rid="table3">
       Table 3
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.142933-"></xref>Table 3. Radiological classification and histological type.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td acenter" width="78.56%" colspan="2"><p style="text-align:center">Parameters</p></td> 
       <td class="custom-bottom-td acenter" width="14.44%"><p style="text-align:center">n (43)</p></td> 
       <td class="custom-bottom-td acenter" width="14.60%"><p style="text-align:center">% (100)</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="30.82%"><p style="text-align:center">BIRADS</p><p style="text-align:center">Classification</p></td> 
       <td class="custom-top-td acenter" width="47.74%"><p style="text-align:center">Group 4</p></td> 
       <td class="custom-top-td acenter" width="14.44%"><p style="text-align:center">34</p></td> 
       <td class="custom-top-td acenter" width="14.60%"><p style="text-align:center">79.1</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="47.74%"><p style="text-align:center">Group 5</p></td> 
       <td class="custom-bottom-td acenter" width="14.44%"><p style="text-align:center">9</p></td> 
       <td class="custom-bottom-td acenter" width="14.60%"><p style="text-align:center">20.9</p></td> 
      </tr> 
      <tr> 
       <td rowspan="2" class="custom-top-td acenter" width="30.82%"><p style="text-align:center">Histological type</p></td> 
       <td class="custom-top-td acenter" width="47.74%"><p style="text-align:center">Non-specific infiltrating carcinoma</p></td> 
       <td class="custom-top-td acenter" width="14.44%"><p style="text-align:center">41</p></td> 
       <td class="custom-top-td acenter" width="14.60%"><p style="text-align:center">95.3</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td acenter" width="47.74%"><p style="text-align:center">Lobular infiltrating carcinoma</p></td> 
       <td class="custom-bottom-td acenter" width="14.44%"><p style="text-align:center">2</p></td> 
       <td class="custom-bottom-td acenter" width="14.60%"><p style="text-align:center">4.7</p></td> 
      </tr> 
      <tr> 
       <td rowspan="3" class="custom-top-td acenter" width="30.82%"><p style="text-align:center">Nottingham grading</p></td> 
       <td class="custom-top-td acenter" width="47.74%"><p style="text-align:center">Grade I</p></td> 
       <td class="custom-top-td acenter" width="14.44%"><p style="text-align:center">2</p></td> 
       <td class="custom-top-td acenter" width="14.60%"><p style="text-align:center">4.7</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="47.74%"><p style="text-align:center">Grade II</p></td> 
       <td class="acenter" width="14.44%"><p style="text-align:center">32</p></td> 
       <td class="acenter" width="14.60%"><p style="text-align:center">74.4</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="47.74%"><p style="text-align:center">Grade III</p></td> 
       <td class="acenter" width="14.44%"><p style="text-align:center">9</p></td> 
       <td class="acenter" width="14.60%"><p style="text-align:center">20.9</p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
   <sec id="s3_4">
    <title>3.4. Correlation between Carcinoma Type and Menopausal Status</title>
    <p>The type of carcinoma was not statistically related to the menopausal status (p = 0.368) or to the use of contraceptive drugs (p = 0.643) (<xref ref-type="table" rid="table4">
      Table 4
     </xref>).</p>
    <table-wrap id="table4">
     <label>
      <xref ref-type="table" rid="table4">
       Table 4
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.142933-"></xref>Table 4. Correlation between carcinoma type, menopausal status and contraceptive use.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td rowspan="2" class="acenter" width="27.90%"><p style="text-align:center">Parameters</p></td> 
       <td class="acenter" width="72.10%" colspan="4"><p style="text-align:center">Carcinoma type</p></td> 
      </tr> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="36.76%"><p style="text-align:center">Non-specific infiltrating</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.62%"><p style="text-align:center">Lobular</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="10.42%"><p style="text-align:center">Total</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="11.30%"><p style="text-align:center">p-value</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="27.90%"><p style="text-align:center">Post menopausal status</p></td> 
       <td class="custom-top-td acenter" width="36.76%"><p style="text-align:center">12</p></td> 
       <td class="custom-top-td acenter" width="13.62%"><p style="text-align:center">-</p></td> 
       <td class="custom-top-td acenter" width="10.42%"><p style="text-align:center">12</p></td> 
       <td rowspan="2" class="custom-top-td acenter" width="11.30%"><p style="text-align:center">0.368</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="27.90%"><p style="text-align:center">Pre menopausal status</p></td> 
       <td class="acenter" width="36.76%"><p style="text-align:center">29</p></td> 
       <td class="acenter" width="13.62%"><p style="text-align:center">2</p></td> 
       <td class="acenter" width="10.42%"><p style="text-align:center">31</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="27.90%"><p style="text-align:center">No contraceptive use</p></td> 
       <td class="acenter" width="36.76%"><p style="text-align:center">37</p></td> 
       <td class="acenter" width="13.62%"><p style="text-align:center">2</p></td> 
       <td class="acenter" width="10.42%"><p style="text-align:center">39</p></td> 
       <td rowspan="2" class="acenter" width="11.30%"><p style="text-align:center">0.643</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="27.90%"><p style="text-align:center">Contraceptive use</p></td> 
       <td class="acenter" width="36.76%"><p style="text-align:center">4</p></td> 
       <td class="acenter" width="13.62%"><p style="text-align:center">-</p></td> 
       <td class="acenter" width="10.42%"><p style="text-align:center">4</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="27.90%"><p style="text-align:center">Total</p></td> 
       <td class="acenter" width="36.76%"><p style="text-align:center">41</p></td> 
       <td class="acenter" width="13.62%"><p style="text-align:center">2</p></td> 
       <td class="acenter" width="10.42%"><p style="text-align:center">43</p></td> 
       <td class="acenter" width="11.30%"><p style="text-align:center"></p></td> 
      </tr> 
     </table>
    </table-wrap>
   </sec>
  </sec><sec id="s4">
   <title>4. Discussion</title>
   <p>
    <xref ref-type="bibr" rid="scirp.142933-"></xref>The mean age of patients in the present study was 43.8 ± 11.0 years, in line with that reported by several authors in Côte d’Ivoire <xref ref-type="bibr" rid="scirp.142933-12">
     [12]
    </xref>-<xref ref-type="bibr" rid="scirp.142933-14">
     [14]
    </xref>. Elsewhere in Africa, average ages ranging from 44.1 to 47.8 years have been reported <xref ref-type="bibr" rid="scirp.142933-15">
     <sup></sup>[15]
    </xref>-<xref ref-type="bibr" rid="scirp.142933-17">
     [17]
    </xref>. The 40 - 55 age group was the most represented, which is in agreement with a previous report from Côte d’Ivoire by Aka et al. <xref ref-type="bibr" rid="scirp.142933-14">
     [14]
    </xref>. Pre-menopausal patients represented almost 3/4 of the study population. This finding is in contrast with data from developed countries, where breast cancer is more often detected at an advanced age or during the post-menopausal period <xref ref-type="bibr" rid="scirp.142933-18">
     [18]
    </xref>. For instance, in the UK, over 80% of breast cancers are diagnosed in post-menopausal women <xref ref-type="bibr" rid="scirp.142933-19">
     [19]
    </xref>. This difference may be explained by the race of the patients. Indeed, various studies have highlighted a certain predisposition of black women to develop breast cancer at a young age <xref ref-type="bibr" rid="scirp.142933-20">
     [20]
    </xref> <xref ref-type="bibr" rid="scirp.142933-21">
     [21]
    </xref>. This assertion is supported by Pleasant <xref ref-type="bibr" rid="scirp.142933-22">
     [22]
    </xref> who also revealed an increased risk of endometrial cancer, in addition to the susceptibility of black women to breast cancer. In black Africans, the late onset of breast symptoms would justify the discovery of malignancy at a later age <xref ref-type="bibr" rid="scirp.142933-5">
     [5]
    </xref>. Very few patients used contraceptive drugs compared to their European counterparts. In Europe, contraception is widely available to all whereas, that is not the case in Côte d’Ivoire is limited <xref ref-type="bibr" rid="scirp.142933-23">
     [23]
    </xref> <xref ref-type="bibr" rid="scirp.142933-24">
     [24]
    </xref>. Previous reports have shown a contraceptive use rate of 14% in 2012, 21% in 2017 and 22.5% in 2020 <xref ref-type="bibr" rid="scirp.142933-23">
     [23]
    </xref> <xref ref-type="bibr" rid="scirp.142933-24">
     [24]
    </xref>. As highlighted by Coulibaly et al. <xref ref-type="bibr" rid="scirp.142933-25">
     [25]
    </xref>, there remains some sociocultural obstacles to the use of modern contraception in Côte d’Ivoire. These obstacles include the lack of reliable and reassuring information on contraception, the apprehension about its side effects, the illiteracy, the dominant power of the male partner in the decision-making process and the religious prohibitions <xref ref-type="bibr" rid="scirp.142933-25">
     [25]
    </xref>. These difficulties are also encountered in several other African countries such as the Democratic Republic of the Congo, Morocco, Niger and Senegal <xref ref-type="bibr" rid="scirp.142933-26">
     [26]
    </xref>-<xref ref-type="bibr" rid="scirp.142933-29">
     [29]
    </xref>. The BIRADS 4 group was frequently identified among the patients after mammography testing. It corresponds to the presence of suspicious abnormalities with a potential of malignancy ranging from 2% to 95% that require a pathology exploration <xref ref-type="bibr" rid="scirp.142933-30">
     [30]
    </xref>. Luo et al. <xref ref-type="bibr" rid="scirp.142933-31">
     [31]
    </xref>. have demonstrated the value of mammography in predicting breast cancer in patients grouped into BIRADS 4 or 5, highlighting the good discriminatory power of that analysis in front of malignant or benign breast tissue lesions. The most frequently diagnosed histological type was the non-specific infiltrating carcinoma. This finding has also been reported in many countries <xref ref-type="bibr" rid="scirp.142933-17">
     [17]
    </xref>, notably in Burkina Faso <xref ref-type="bibr" rid="scirp.142933-16">
     [16]
    </xref> and Mali <xref ref-type="bibr" rid="scirp.142933-32">
     [32]
    </xref>. In Côte d’Ivoire, Touré et al. <xref ref-type="bibr" rid="scirp.142933-33">
     [33]
    </xref> also found that 89.3% of breast cancers were non-specific infiltrating carcinomas. The non-specific infiltrating carcinoma is the most common histological type worldwide, with a frequency ranging from 77% to 88% on the African continent <xref ref-type="bibr" rid="scirp.142933-34">
     [34]
    </xref> as well as Asia with frequencies ranging from 80% to 94.5% <xref ref-type="bibr" rid="scirp.142933-35">
     [35]
    </xref>. The Nottingham grade II prevailed in this study, as reported by several authors in both developing and developed countries <xref ref-type="bibr" rid="scirp.142933-16">
     [16]
    </xref> <xref ref-type="bibr" rid="scirp.142933-36">
     [36]
    </xref> <xref ref-type="bibr" rid="scirp.142933-37">
     [37]
    </xref>. Once the diagnosis of breast carcinoma has been established, major challenges appear. Indeed, in Africa in general and in Côte d’Ivoire particularly, there are problems related to the geographical and financial access to healthcare. Aka et al. <xref ref-type="bibr" rid="scirp.142933-14">
     [14]
    </xref> investigated the direct economic cost of breast cancer for the patients. They showed that the cost of chemotherapy was on an average estimate of $3121 (US dollars) per patient before radiotherapy cost which stood at $1714 per patient <xref ref-type="bibr" rid="scirp.142933-14">
     [14]
    </xref>. One of the limitations of the present study is that hormone assays were not carried out, in particular the dosage of the serum levels of estrogen (estradiol II), progesterone, GnRH (gonadotrophin-releasing hormone), FSH (follicle-stimulating hormone), LH (luteinizing hormone) and prolactin. Some studies have found a link between blood levels of estrogen and androgen and the development of breast cancer in pre-menopausal women <xref ref-type="bibr" rid="scirp.142933-38">
     [38]
    </xref>-<xref ref-type="bibr" rid="scirp.142933-41">
     [41]
    </xref>. However, no link has been established between the blood levels of progesterone and the development of breast cancer <xref ref-type="bibr" rid="scirp.142933-38">
     [38]
    </xref> <xref ref-type="bibr" rid="scirp.142933-39">
     [39]
    </xref>.</p>
  </sec><sec id="s5">
   <title>5. Conclusion</title>
   <p>This study describes the epidemiological, radiological and pathological aspects of female breast cancer in Bouaké. The keys features were an affected population with an average age of 43.8 years with a pre-menopausal status that does not contraceptive drugs. The BIRADS 4 group predominated, and the non-specific infiltrating carcinoma was overwhelmingly observed. No statistically significant relationship was found between the carcinoma type and the menopausal status, nor between the carcinoma type and the use of contraceptive drugs. It is therefore essential to reinforce the city of Bouaké with an independent institution dedicated to the fight against cancer which harbors all the needed specialized services in one place while providing free treatment for the patients.</p>
  </sec><sec id="s6">
   <title>Acknowledgements</title>
   <p>Our thanks go to the staff of the peripheral screening sites, pathology, gynecology, medical oncology, and radiology of the Teaching Hospital of Bouaké, as well as the Roche Hoffmann Laboratories in Côte d’Ivoire.</p>
  </sec><sec id="s7">
   <title>Funding</title>
   <p>This study was supported by the Coalition for Implementation of Research in Global Oncology (CIRGO) of the therapeutic route of patients to the pathological diagnosis.</p>
  </sec><sec id="s8">
   <title>Statements</title>
   <p>The ethical approval of the protocol and written consent of the participants were secured. All procedures were approved by the National Ethics Committee of Côte d’Ivoire under the authorization number (142-23/MSHPCMU/CNESVS-km). The anonymity and data confidentiality were ensured.</p>
  </sec>
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