<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><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">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2022.128065</article-id><article-id pub-id-type="publisher-id">OJOG-119211</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Clinical and Histological Profile of Breast Cancer at University Clinics of Kinshasa, Democratic Republic of Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Bisinkam</surname><given-names>Guillaume Malingisi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mbangama</surname><given-names>Muela Andy</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mutombo</surname><given-names>Baleka Alex</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lumaya</surname><given-names>Ambis Joelle</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mukendi</surname><given-names>Tshitadi Jean</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Muamba</surname><given-names>Nkongolo Freddy</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Odimba</surname><given-names>Mpoy Jules</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kazadi</surname><given-names>Nkashama Bienvenu</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ndesanzim</surname><given-names>Otem Christian</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lotoy</surname><given-names>Banza Jésual</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Etana</surname><given-names>Litambelo Serge</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ombha</surname><given-names>Loshima Ernest</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kabatantshi</surname><given-names>Mubengabantu Gérard</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Obstetrics and Gynaecology, University Clinics, Kinshasa, DRCongo</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>08</month><year>2022</year></pub-date><volume>12</volume><issue>08</issue><fpage>760</fpage><lpage>769</lpage><history><date date-type="received"><day>4,</day>	<month>July</month>	<year>2022</year></date><date date-type="rev-recd"><day>14,</day>	<month>August</month>	<year>2022</year>	</date><date date-type="accepted"><day>17,</day>	<month>August</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; 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><p>
 
 
  Context
  : Breast cancer represents a significant public health problem concern the world, given its frequency (20% to 25% of female cancers) and diagnosis clinical stage with a particular frequency of locally advanced cancers and inflammatory forms. <b>Objectives</b>: To describe the socio-demographic, clinical and histological characteristics of breast cancer at the University Clinics of Kinshasa. <b>Methods</b>: A descriptive and retrospective study was completed at University Clinics of Kinshasa from 1 January 2003 to 30 July 2018, including 300 cases of breast cancer diagnosed and treated. <b>Results</b>: The mean age of women at diagnosis was 47.5 &#177; 10.8 years. Most of the patients were married, multipara with an average parity of 3.7 &#177; 2.5 and non-menopausal. Breast mass was the main reason for medical visit (47.5%) and the majority of patients consulted 12 months after the onset of the disease (36.3%) at stage 3 (56%) and node extension was observed in 61.3%. The average size of the breast mass was 8.02 &#177; 3.7 cm. The infiltrating ductal carcinoma was the most common histological type in 82.5% of cases; the majority of tumors were histo-pronostic II in 47.5% of cases. 83% of the tumors were hormonal-dependent. Only 35.9% of the tumors over-expressed the HER 2/Neu receptor. <b>Conclusion</b>: Most patients consulted more than 12 months after the onset of the disease and the diagnosis was made at advanced stages. The tumor was large at diagnosis. The left breast was the most affected. The majority of tumors are of high histopronostic grade and are hormonal-dependent.
 
</p></abstract><kwd-group><kwd>Breast Cancer</kwd><kwd> Clinical and Histological Profile</kwd><kwd> University Clinics of Kinshasa</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Cancer is a scourge affecting countries around the world [<xref ref-type="bibr" rid="scirp.119211-ref1">1</xref>]. In high-income countries, cancer is one of the leading causes of morbidity and mortality; it is the second leading cause of death and is responsible of almost a quarter of deceases. In developing countries, cancer accounts for one in 20 deaths; however, the incidence of cancer in these countries is trending upwards [<xref ref-type="bibr" rid="scirp.119211-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref3">3</xref>].</p><p>Breast cancer is a major public health problem concern world, given its frequency (20% to 25% of female cancers) and clinical stage to diagnosis with a particular frequency of locally advanced cancers and inflammatory forms [<xref ref-type="bibr" rid="scirp.119211-ref4">4</xref>].</p><p>It is the second most common cancer in the world (after lung cancer), affecting 1.7 million people in 2012, accounting for 11.9% of all cancers and the most frequently diagnosed cancer in women. Breast cancer is also the leading cause of death in women [<xref ref-type="bibr" rid="scirp.119211-ref5">5</xref>]. In many developed countries, reducing mortality from this cancer is a major public health challenge [<xref ref-type="bibr" rid="scirp.119211-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref7">7</xref>]. Breast cancer has a favorable long-term prognosis, especially if it is diagnosed and managed earlier. The breast cancer survival rates on five-year vary widely across countries, ranging from 80% or more in North America, Sweden, and Japan to nearly 60% in middle-income countries and less than 40% in low-income countries [<xref ref-type="bibr" rid="scirp.119211-ref8">8</xref>].</p><p>The incidence of breast cancer varies according to many factors, including geographic region, ethnicity, lifestyle, and socioeconomic status [<xref ref-type="bibr" rid="scirp.119211-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref7">7</xref>]. Each year, 50.000 new cases of breast cancer were diagnosed in France [<xref ref-type="bibr" rid="scirp.119211-ref9">9</xref>].</p><p>In most developing countries, this cancer is ranked second among women’s cancers after cervical cancer with ever-increasing incidence and mortality [<xref ref-type="bibr" rid="scirp.119211-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref10">10</xref>]. It is estimated that one in 9 women will develop breast cancer during her lifetime [<xref ref-type="bibr" rid="scirp.119211-ref11">11</xref>]. In high-income countries, numerous studies have observed a decrease in breast cancer mortality of around 25% - 30% thanks to systematic screening that has led to early diagnosis, but also to enormous therapeutic progress available [<xref ref-type="bibr" rid="scirp.119211-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref13">13</xref>].</p><p>Early diagnosis remains an important strategy for detecting disease at early stages, especially in low- and middle-income countries where diseases are usually diagnosed at advanced stages and where resources are very lacking. The management of a locally advanced breast cancer represents a real challenge, since at this stage the extensive tumors are inoperable immediately and the metastatic risk is very high. In poor or intermediate countries the late discovery of breast cancer exposes the patient to more mutilating, longer, more expensive, less bearable treatment with lower chances of cure [<xref ref-type="bibr" rid="scirp.119211-ref7">7</xref>]. In addition to surgery, it will often be necessary to resort to chemotherapy, radiotherapy, hormone therapy, immunotherapy, palliative treatment, and psychotherapy [<xref ref-type="bibr" rid="scirp.119211-ref7">7</xref>]. In these developing countries, patients, who are generally poor, are often admitted in advanced stages of the disease [<xref ref-type="bibr" rid="scirp.119211-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref16">16</xref>], sometimes excluding any attempt of surgery.</p><p>Given the above-mentioned features, it seemed appropriate to carry out the present study, with the aim of describing the epidemiological, clinical and pathological profile of breast cancer at the University Clinics of Kinshasa.</p></sec><sec id="s2"><title>2. Methods</title><p>This descriptive and retrospective study conducted at UCK from 1 July 2003 to 1 July 2018 included all records of patients who had histologically confirmed breast cancer. Data were collected by review of medical records from the oncology unit. All records of patients treated for breast cancer at University Clinics of Kinshasa during study period were included. Files containing less than 50% of the variables studied were excluded from this study. A total of 204 files were found to be eligible for the study.</p><p>The variables collected were related to sociodemographic parameters (age, parity, marital status, menopausal status), clinical parameters (age at menarche, history of cancer, complaints at admission, clinical stage, size of tumor, macroscopic appearance of the lesion, the affected breast, node invasion), paraclinical parameters (histological type, histopronostic grade, hormone receptors, HER2/neu status, immunohistochemistry class). Data were collected anonymously and confidentially processed, with access only granted to the research team.</p><p>Data analysis</p><p>Data have been verified, entered in Microsoft Office Excel 2003, then exported to SPSS (Statistical Package for Social Sciences) 21.0 for statistical analysis. The results were presented within tables: qualitative variables were expressed as proportions and quantitative variables averaged with their standard deviations.</p></sec><sec id="s3"><title>3. Results</title><p>At the end of this study, we recorded a total of 300 breast cancer cases. Only 204 files were considered eligible for the study and were described below. With regard to socio-demographic characteristics, the average age of women with breast cancer was 47.50 &#177; 10.75 years old with extremes of 19 to 83 years, the majority having an elderly 43 to 50 years (29.4%). Most patients were married, multipara with an average parity of 4 &#177; 2 and non-menopausal (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>According to the clinical characteristics, it is obvious from <xref ref-type="table" rid="table2">Table 2</xref> that a breast mass was the main reason for consultation (47.5%), most of the patients had no history of cancer (89.7%), and consulted twelve months, after the onset of the disease (36.3%). The average age of menarche was 13.2 &#177; 1.7 years.</p><p>The majority of patients was found at stage 3 (56%) and lymph node extension was observed in 61.3% predominantly axillary in 72.8% of cases. The average size of lymphadenopathy was 2.2 &#177; 0.9 cm with extremes of 1 to 5 cm. The average size of the tumor was 8.02 &#177; 3.7 cm with extremities of 1 to 20 cm in diameter. Dimpling was the main macroscopic skin lesion in 32.8% of cases. 14.7% of patients had a normal-looking breast. The left breast and the superexternal quadrant were the most affected in 56.9% and 25% respectively (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>From <xref ref-type="table" rid="table4">Table 4</xref>, we see that infiltrating ductal carcinoma was most frequent histological type in 82.4% of cases, the majority of tumors were of histoprognostic grade II in 47.5% of cases. 83.1% of tumors were hormone-dependent. Only 35.9% of tumors that overexpressed HER 2/Neu. The Luminal A immunohistochemical type was the most represented in 45.3% of cases.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Effective (n = 204)</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >19 - 26</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >27 - 34</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >13.2</td></tr><tr><td align="center" valign="middle" >35 - 42</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >27</td></tr><tr><td align="center" valign="middle" >43 - 50</td><td align="center" valign="middle" >60</td><td align="center" valign="middle" >29.4</td></tr><tr><td align="center" valign="middle" >51 - 58</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >18.1</td></tr><tr><td align="center" valign="middle" >59 - 66</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >8.8</td></tr><tr><td align="center" valign="middle" >67 - 74</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >75 - 82</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >5</td></tr><tr><td align="center" valign="middle" >83 - 90</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" >Parity</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Nullipara</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >7.8</td></tr><tr><td align="center" valign="middle" >Primipara</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >10.3</td></tr><tr><td align="center" valign="middle" >Multipara</td><td align="center" valign="middle" >167</td><td align="center" valign="middle" >81.9</td></tr><tr><td align="center" valign="middle" >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >95</td><td align="center" valign="middle" >46.6</td></tr><tr><td align="center" valign="middle" >Married</td><td align="center" valign="middle" >109</td><td align="center" valign="middle" >53.4</td></tr><tr><td align="center" valign="middle" >Menopausal status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >36.3</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >130</td><td align="center" valign="middle" >63.7</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of patients according to anamnestic characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Effective (n = 204)</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Reason for consultation</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Mass</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >47.5</td></tr><tr><td align="center" valign="middle" >Diffuse swelling</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >11.8</td></tr><tr><td align="center" valign="middle" >Breast pain</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >20.6</td></tr><tr><td align="center" valign="middle" >Nipple retraction</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >Blood flow</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >5.4</td></tr><tr><td align="center" valign="middle" >Breast ulceration</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >8.3</td></tr><tr><td align="center" valign="middle" >Other</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >0.4</td></tr><tr><td align="center" valign="middle" >History of cancer</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Yes</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >10.3</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >183</td><td align="center" valign="middle" >89.7</td></tr><tr><td align="center" valign="middle" >Lead time before consultation (months)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >1 - 3</td><td align="center" valign="middle" >41</td><td align="center" valign="middle" >20.1</td></tr><tr><td align="center" valign="middle" >4 - 6</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >16.2</td></tr><tr><td align="center" valign="middle" >7 - 12</td><td align="center" valign="middle" >56</td><td align="center" valign="middle" >27.4</td></tr><tr><td align="center" valign="middle" >More than 12</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >36.3</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Characteristics of the tumor</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Fr&#233;quence</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Clinical stages</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >13.2</td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >106</td><td align="center" valign="middle" >56</td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >32.8</td></tr><tr><td align="center" valign="middle" >Location of lymphadenopathy</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Axillary</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >72.8</td></tr><tr><td align="center" valign="middle" >Supra clavicular</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >14.4</td></tr><tr><td align="center" valign="middle" >Subclavicular</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >12.8</td></tr><tr><td align="center" valign="middle" >Macroscopic aspect of the lesion</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Skin dimpling</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >32.84</td></tr><tr><td align="center" valign="middle" >Skin dimpling + ulceration</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >6.86</td></tr><tr><td align="center" valign="middle" >Skin dimpling + upper limb lymphedema</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >11.77</td></tr><tr><td align="center" valign="middle" >Bloody/purulent discharge</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >2.94</td></tr><tr><td align="center" valign="middle" >Ulceration + scaling</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >4.41</td></tr><tr><td align="center" valign="middle" >Necrosis + Growth or cauliflower</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >11.28</td></tr><tr><td align="center" valign="middle" >Breast retraction</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >5.39</td></tr><tr><td align="center" valign="middle" >Normal appearance of the breast</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >14.71</td></tr><tr><td align="center" valign="middle" >Unspecified</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >9.8</td></tr><tr><td align="center" valign="middle" >Affected breast</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Right</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >40.2</td></tr><tr><td align="center" valign="middle" >Left</td><td align="center" valign="middle" >116</td><td align="center" valign="middle" >56.9</td></tr><tr><td align="center" valign="middle" >Bilateral</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >2.9</td></tr><tr><td align="center" valign="middle" >Relevant quadrant</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >upper outer quadrant</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >25</td></tr><tr><td align="center" valign="middle" >upper inner quadrant</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >15.7</td></tr><tr><td align="center" valign="middle" >lower inner quadrant</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >8.8</td></tr><tr><td align="center" valign="middle" >lower outer quadrant</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >13.2</td></tr><tr><td align="center" valign="middle" >Astride the nipple</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.5</td></tr><tr><td align="center" valign="middle" >Whole breast</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >17.6</td></tr><tr><td align="center" valign="middle" >Unspecified</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >19.1</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Histological and immunohistochemical characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Characteristics</th><th align="center" valign="middle" >Fr&#233;quence (n = 240)</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Histological types</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Ductal carcinoma</td><td align="center" valign="middle" >168</td><td align="center" valign="middle" >82.4</td></tr><tr><td align="center" valign="middle" >Lobular carcinoma</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >8.8</td></tr><tr><td align="center" valign="middle" >Medullary carcinoma</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >3.4</td></tr><tr><td align="center" valign="middle" >Papillary carcinoma</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.98</td></tr><tr><td align="center" valign="middle" >Intraductal carcinoma</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0.5</td></tr><tr><td align="center" valign="middle" >Malignant phyllodes tumor</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >3.2</td></tr><tr><td align="center" valign="middle" >Histoprognostic grade</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >I</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >30.4</td></tr><tr><td align="center" valign="middle" >II</td><td align="center" valign="middle" >97</td><td align="center" valign="middle" >47.5</td></tr><tr><td align="center" valign="middle" >III</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >22.1</td></tr><tr><td align="center" valign="middle" >Hormone receptors</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Positives</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >83.1</td></tr><tr><td align="center" valign="middle" >Negatives</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >16.9</td></tr><tr><td align="center" valign="middle" >Her 2 /neu Status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >35.9</td></tr><tr><td align="center" valign="middle" >negative</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >64.1</td></tr><tr><td align="center" valign="middle" >Immunohistochemistry result</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Luminal A</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >45.3</td></tr><tr><td align="center" valign="middle" >Luminal B</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >28.3</td></tr><tr><td align="center" valign="middle" >Triple negative</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >11.3</td></tr><tr><td align="center" valign="middle" >HER 2/neu</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >15.1</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><p>The average age at diagnosis was 47.50 &#177; 10.75 years, similar value to that reported by several African authors including Ben Ahmed in Tunisia in 2002 [<xref ref-type="bibr" rid="scirp.119211-ref4">4</xref>] who found an average age of 50 years, Sando et al. in Cameroon [<xref ref-type="bibr" rid="scirp.119211-ref17">17</xref>] found an average age of onset at 52 years. This is different from what is encountered in high-income countries, where cancer mainly affects women after menopause [<xref ref-type="bibr" rid="scirp.119211-ref18">18</xref>]. Our study reveals that breast cancer increases with parity. Multiparas were the most affected with a frequency of 48.5%. Most African authors [<xref ref-type="bibr" rid="scirp.119211-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref20">20</xref>] have made the same observation. Menopause represented 36.3% of cases. This result is far lower than that noted by Wail et al. [<xref ref-type="bibr" rid="scirp.119211-ref21">21</xref>] which was 68.7%, and Ben Ahmed et al. [<xref ref-type="bibr" rid="scirp.119211-ref4">4</xref>] who noted 46.8% of menopausal patients.</p><p>The late diagnosis of cancers remains of significant concern in our environment. Indeed, an average 10 months passed before a woman consults for complaints related to breast cancer. This delay is higher than those reported by Ben Ahmed et al. [<xref ref-type="bibr" rid="scirp.119211-ref4">4</xref>] which was 6.5 months. For Sofia Aloulou et al. in 2015 in Morocco [<xref ref-type="bibr" rid="scirp.119211-ref22">22</xref>] this delay was 8.47 months and for Dem Ahmadou in Senegal [<xref ref-type="bibr" rid="scirp.119211-ref23">23</xref>] 8.2 months but our delay is far superior to that of the INCA in France in 2012 [<xref ref-type="bibr" rid="scirp.119211-ref24">24</xref>] which found 17.7 &#177; 15.9 days and that of the Francim Network [<xref ref-type="bibr" rid="scirp.119211-ref25">25</xref>] which was 15.2 &#177; 22.7 days over the entire period 1999-2008. This delay is close to that of Essiben [<xref ref-type="bibr" rid="scirp.119211-ref19">19</xref>] which was 9.2 &#177; 3 months. Richards [<xref ref-type="bibr" rid="scirp.119211-ref26">26</xref>] showed, in a meta-analysis of 87 studies, that patients for whom this delay was greater than 3 months had a survival rate 12% lower than that of women treated more quickly. By comparing data of the clinical examination of our series with that of the studies carried out in Western countries, we note a very low rate 17.2% of tumors diagnosed early. Locally advanced forms (stages III and IV) represent more than half of the cases (88.8%). Ben Ahmed et al. [<xref ref-type="bibr" rid="scirp.119211-ref4">4</xref>] made the same observation. Sando in Cameroon in 2014 [<xref ref-type="bibr" rid="scirp.119211-ref17">17</xref>] reported that 76.4% of breast cancers were recognized at stages T3 and T4 and 73.6% had palpable axillary lymph node. Lygia et al. in Angola in 2012 [<xref ref-type="bibr" rid="scirp.119211-ref27">27</xref>] noted a high representativeness of 95% of cases and Essiben in Cameroon [<xref ref-type="bibr" rid="scirp.119211-ref19">19</xref>], Mbala Nl, 2010 [<xref ref-type="bibr" rid="scirp.119211-ref14">14</xref>], Durbard et al. [<xref ref-type="bibr" rid="scirp.119211-ref28">28</xref>] reported 78.5% respectively; 95.4%; 30% of cases arriving at an advanced local clinical stage. There are several reasons for late diagnosis, mostly financial problems, first-line recourse to traditional medicine, the absence of an operational national breast cancer screening program in the DRC and women’s lack of awareness on early detection of breast disease.</p><p>In our study, invasive ductal carcinoma of breast was the most encountered histological type in 82.4% of cases. The other invasive forms were scarcely found. The predominance of ductal carcinomas is consistent with data in the literature [<xref ref-type="bibr" rid="scirp.119211-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.119211-ref29">29</xref>]. The percentage of grade III tumor of Scarff, Bloom and Richardson at diagnosis is very low and represents 22.1%, while grade II tumors are the most frequent with 47.5%. Our results corroborate those of Sando in Cameroon in 2014 [<xref ref-type="bibr" rid="scirp.119211-ref17">17</xref>] which found 23.6%; 69.4% and 7% respectively for grade I, II, III. Dalenc F et al. 2010 [<xref ref-type="bibr" rid="scirp.119211-ref30">30</xref>] in France showed that SBR grades 1 and 2 were overall equivalent (45% and 41%) with a low percentage of SBR 3 grade (9%). Immunohistochemical analyse allowed us to conclude that 83.1% of tumors were rich in hormone receptors and 16.9% overexpressed Her2/neu protein. Dalenc F et al. [<xref ref-type="bibr" rid="scirp.119211-ref30">30</xref>] in France also noted a very large majority of HR+ tumors. Abbass et al. [<xref ref-type="bibr" rid="scirp.119211-ref31">31</xref>] noted in their series that 72% of tumors were positive for hormone receptors. Concerning overexpression of Her-2/neu protein, our study reports a rate of 35.85%. This result is higher than that observed by Mbala Nl. et al. [<xref ref-type="bibr" rid="scirp.119211-ref14">14</xref>] or 10%. And also higher than that of Dalenc et al. [<xref ref-type="bibr" rid="scirp.119211-ref30">30</xref>] who found 5.2% of cases and that of Di&#233;ras et al. in France in 2013 [<xref ref-type="bibr" rid="scirp.119211-ref32">32</xref>] who found 16% of cases of HER2+ disease. Abbass et al. [<xref ref-type="bibr" rid="scirp.119211-ref31">31</xref>] reported 26%. Blaizel et al. [<xref ref-type="bibr" rid="scirp.119211-ref33">33</xref>] in Canada noted in their series 18.3%.</p><p>The data about management, outcome and follow up of the patients were not including in our stufy. It’s were the limitations of our study.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Most patients consult more than twelve months after the onset of the disease and the diagnosis is made at an advanced stage. The tumor was large at diagnosis. The left breast was the most affected and the upper outer quadrant. The majority of tumors are of high histoprognostic grade and are hormone-dependent.</p></sec><sec id="s6"><title>Author’s Contributions</title><p>MBG and MMA were principal investigators, participated in generating and designing the study and were actively involved in data collection and statistical analysis. They drafted the first manuscript. MBA, LAJ, MNF, OMJ, KNB, NOC, LBJ, ELS, OLE and KMG participated in designing the study, data collecting and analyzing the results. All authors contributed in preparing the final manuscript.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Cite this paper</title><p>Malingisi, B.G., Andy, M.M., Alex, M.B., Joelle, L.A., Jean, M.T., Freddy, M.N., Jules, O.M., Bienvenu, K.N., Christian, N.O., J&#233;sual, L.B., Serge, E.L., Ernest, O.L. and G&#233;rard, K.M. (2022) Clinical and Histological Profile of Breast Cancer at University Clinics of Kinshasa, Democratic Republic of Congo. Open Journal of Obstetrics and Gynecology, 12, 760-769. https://doi.org/10.4236/ojog.2022.128065</p></sec></body><back><ref-list><title>References</title><ref id="scirp.119211-ref1"><label>1</label><mixed-citation publication-type="book" xlink:type="simple">Stewart, B.W. and Kleihues, P. 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