<?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">JCT</journal-id><journal-title-group><journal-title>Journal of Cancer Therapy</journal-title></journal-title-group><issn pub-type="epub">2151-1934</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jct.2024.155021</article-id><article-id pub-id-type="publisher-id">JCT-133217</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>
 
 
  Immunohistochemical Profile of Breast Cancer: A Retrospective Study in the Democratic Republic of Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rive</surname><given-names>Lukuaku Buanza</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>J&amp;#233;r&amp;#233;mie</surname><given-names>Okumadi Lukuke</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>Fabrice</surname><given-names>Bokambandja Lolangwa</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Andy</surname><given-names>Mbangama Muela</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>Teddy</surname><given-names>Mukendi Lwambwa</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fabrice</surname><given-names>Bumwana Ali</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>Sano</surname><given-names>Sire Mariama</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>Bleuvy-Justice</surname><given-names>Fayeta</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mardoche</surname><given-names>Binangu</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jean</surname><given-names>Isme Ngambika</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>David</surname><given-names>Azako Tasema</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Dieudonn&amp;#233;</surname><given-names>Mvumbi</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Department of Gynecology and Obstetrics, University Clinics of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff6"><addr-line>Department of Molecular Biology, Faculty of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff1"><addr-line>Faculty of Medicine, Bel Campus Technological University, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff4"><addr-line>Faculty of Dentistry, University of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff5"><addr-line>Faculty of Medicine, University of MBANDAKA, Kinshasa, Democratic Republic of Congo</addr-line></aff><aff id="aff2"><addr-line>Department of Pathological Anatomy, University Clinics of Kinshasa, Kinshasa, Democratic Republic of Congo</addr-line></aff><pub-date pub-type="epub"><day>17</day><month>05</month><year>2024</year></pub-date><volume>15</volume><issue>05</issue><fpage>222</fpage><lpage>230</lpage><history><date date-type="received"><day>28,</day>	<month>February</month>	<year>2024</year></date><date date-type="rev-recd"><day>18,</day>	<month>May</month>	<year>2024</year>	</date><date date-type="accepted"><day>21,</day>	<month>May</month>	<year>2024</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>
 
 
  &lt;b&gt;Background: &lt;/b&gt;The management of breast cancer increasingly requires molecular classification based on immunohistochemistry. As breast cancer is a heterogeneous disease characterized by the accumulation of multiple molecular alterations that give each tumour its own phenotype and evolutionary potential, immunohistochemistry, as a complementary technique to morphological examination, determines the status of hormone receptors and on protein in tumour cells, which are predictive and prognostic markers of breast cancer. This technique is often little used in the Democratic Republic of Congo (DRC), as this study shows. The under-use of this technique due to a lack of equipment and/or human skills explains the paucity of epidemiological data available to date. &lt;b&gt;Objective:&lt;/b&gt; Determine the immunohistochemical profile of breast cancer. &lt;b&gt;Methodology:&lt;/b&gt; This is a retrospective study carried out in the Anapath Department of the NGANDA Hospital from January 1, 2020 to December 31, 2022, &lt;i&gt;i.e.&lt;/i&gt; a 3-year period. &lt;b&gt;Result:&lt;/b&gt; A total of 736 patients were registered in the hospitalization register of the Oncology Department of CH NGANDA for the period corresponding to the present study. Breast cancer was diagnosed in 110 patients, representing 14.9% of all cases. The mean age of the patients was 58.4 &amp;#177; 8.2 years, with extremes ranging from 30 to 76 years. Breast nodules were the most common reason for diagnosis in 56.3% of cases, with Luminal A dominating in 17.3%. &lt;b&gt;Conclusion:&lt;/b&gt; Breast cancer is a major public health problem. Worldwide, it is the most frequently diagnosed cancer in women and the leading cause of cancer-related death in women. In the Democratic Republic of Congo, because of the delay in consulting our patients and the weakness of systematic screening, patients are seen at an advanced stage of the disease. Treatment is multidisciplinary, involving surgery, radiotherapy, chemotherapy (including targeted therapies) and hormone therapy. Patient awareness and screening campaigns will contribute to a considerable reduction in the delay in diagnosis and the morbidity and mortality associated with breast cancer.
 
</p></abstract><kwd-group><kwd>Immunohistochemistry</kwd><kwd> Cancer</kwd><kwd> Breast</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The breast is the world’s leading cancer site in women, with over 2.2 million cases reported in 2020. However, incidences vary from 27/100,000 in Central East Asia and Africa to 85-94/100,000 [<xref ref-type="bibr" rid="scirp.133217-ref1">1</xref>] .</p><p>Its incidence in France is among the highest in Europe. While in most countries its incidence has been rising for over 40 years, in some others (USA, Canada, Australia, France...) it has been falling since 2000-2005 [<xref ref-type="bibr" rid="scirp.133217-ref2">2</xref>] .</p><p>Possibly due to a significant reduction in hormone treatments at menopause, the decrease may be transient. It is also the leading cause of cancer death in women in almost every country except the most economically developed, where it is currently second only to lung cancer. That said, over the past thirty years in highly industrialized countries like France, breast cancer mortality has been falling. Taken together, early diagnosis and better treatment explain this success [<xref ref-type="bibr" rid="scirp.133217-ref3">3</xref>] .</p><p>Breast cancer is a major health problem with a growing trend in prevalence and mortality worldwide. It is the most common cancer affecting women worldwide, and therefore ranks first in both developed and developing countries. Furthermore, in the Democratic Republic of Congo, the absence of a national cancer register is a serious handicap to the real epidemiological and clinical evaluation of breast cancer. Current knowledge of the epidemiology and biological aspects of female breast cancer in the Democratic Republic of Congo remains insufficient and poorly documented given the trend towards urbanization of the Congolese population, it is likely that current data will change in the coming decades, due to a foreseeable evolution in the disease’s risk factors [<xref ref-type="bibr" rid="scirp.133217-ref4">4</xref>] .</p><p>All patients with immunohistochemistry profile of breast cancer diagnosed at CH NGANDA.</p><p>Histological review</p><p>The samples were fixed with 10% formalin.</p><p>Using kerosene blocks, sections between 3 and 5 microns were cut, followed by staining with hematoxylin and eosin.</p><p>A histological review of the cases was carried out using light microscopy, specifying the histological type: infiltrating ductal carcinoma, carcinoma in situ, infiltrating lobular carcinoma, infiltrating papillary carcinoma, and malignant phylloides. Biological behavior: benign, intermediate and malignant forms.</p><p>Immunohistochemical study</p><p>Statistical analysis</p><p>Word processing and tables were entered using the HP brand computer, with Microsoft Office WORD 2016 software data.</p><p>Thus, the establishment of a cancer registry is necessary for the Democratic Republic of Congo health system for better epidemiological monitoring of cancer and the data needed to develop cancer control policies and integrate them into primary health care [<xref ref-type="bibr" rid="scirp.133217-ref5">5</xref>] .</p><p>In 2008, Ministry of Health statistics revealed that breast cancer was the cause of 44% of deaths among women, and there are several types. But in many parts of the country, many women are unaware of this fact, which explains why many cases of breast cancer are diagnosed at an advanced stage [<xref ref-type="bibr" rid="scirp.133217-ref6">6</xref>] .</p><p>With the advent of the national cancer control centre (CNLC), the availability of immunohistochemical markers for the diagnosis, prognosis and therapeutic orientation for the overall management of this cancer is the basis for the development of the current positive state of breast cancer diagnosis and treatment in the Democratic Republic of Congo. Its migration to the national cancer control programme would be desirable in order to raise awareness among healthcare staff in various fields, with a view to eliminating gaps in knowledge about the overall management of breast cancer [<xref ref-type="bibr" rid="scirp.133217-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.133217-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.133217-ref9">9</xref>] .</p></sec><sec id="s2"><title>2. Method</title><p>Type and period of study</p><p>This was a 3-year retrospective study at CH NGANDA.</p><p>Our study took place in the oncology department of CH NGANDA from January 1, 2020 to December 31, 2022, a 3-year period.</p><p>Case studies</p><p>The study population comprised all patients admitted to the oncology department of CH NGANDA who had been diagnosed with breast cancer.</p><p>Inclusion criteria</p><p>Analysis was performed with SPSS version 22.0 software.</p><p>Results were presented in Tables 1-7 and <xref ref-type="fig" rid="fig1">Figure 1</xref> &amp; <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p><p>Ethical considerations</p><p>The rules of confidentiality and anonymity have been respected.</p></sec><sec id="s3"><title>3. Results</title><p>Immunohistochemical diagnosis of breast cancer was made in 110 patients, representing 14.9% of all cases.</p><p>General characteristics of the study population</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Age distribution of cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Age (years)</th><th align="center" valign="middle" >Workforce</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >30 - 39</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >15.4</td></tr><tr><td align="center" valign="middle" >40 - 49</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >20</td></tr><tr><td align="center" valign="middle" >50 - 59</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >42.7</td></tr><tr><td align="center" valign="middle" >60 - 69</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >11.8</td></tr><tr><td align="center" valign="middle" >70 - 79</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>The most vulnerable age group was between 50 and 59, with 42.7% or 47 cases.</p><p>Marital status was predominantly married, with 80 cases (72.7%).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of cases by age of menarche</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Age at menarche</th><th align="center" valign="middle" >Workforce</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >≤12</td><td align="center" valign="middle" >21</td><td align="center" valign="middle" >19.1</td></tr><tr><td align="center" valign="middle" >13 - 14</td><td align="center" valign="middle" >73</td><td align="center" valign="middle" >66.3</td></tr><tr><td align="center" valign="middle" >&gt;14</td><td align="center" valign="middle" >16</td><td align="center" valign="middle" >14.5</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>This table shows that more than half the cases, i.e. 66.3% of our patients, were between 13 and 14 years of age at menarche.</p><p>Gynaecological-obstetric history in our study revealed that multigesta women constitute the most affected population, at 35.4%.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Distribution of cases according to Gesture</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Gesture</th><th align="center" valign="middle" >Workforce</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Nulligest</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >21.8</td></tr><tr><td align="center" valign="middle" >Primigest</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >6.3</td></tr><tr><td align="center" valign="middle" >Paucigest</td><td align="center" valign="middle" >23</td><td align="center" valign="middle" >20.9</td></tr><tr><td align="center" valign="middle" >Multigest</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >35.4</td></tr><tr><td align="center" valign="middle" >Large multigest</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >15.4</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Distribution of patients according to parity</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parity</th><th align="center" valign="middle" >Workforce</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Nulliparous</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >25.4</td></tr><tr><td align="center" valign="middle" >Primiparous</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >10</td></tr><tr><td align="center" valign="middle" >Pauciparous</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >18.1</td></tr><tr><td align="center" valign="middle" >Multiparous</td><td align="center" valign="middle" >38</td><td align="center" valign="middle" >34.5</td></tr><tr><td align="center" valign="middle" >Large multiparous</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >11.8</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>We can see from this table that multiparous females are in the majority with 34.5%.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Distribution of patients according to other antecedents</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Other antecedents</th><th align="center" valign="middle" >Workforce</th></tr></thead><tr><td align="center" valign="middle" >Cancer incidence in the family</td><td align="center" valign="middle" >11</td></tr><tr><td align="center" valign="middle" >Obese or overweight</td><td align="center" valign="middle" >2</td></tr><tr><td align="center" valign="middle" >Notion of breast-feeding</td><td align="center" valign="middle" >62</td></tr><tr><td align="center" valign="middle" >Alcohol</td><td align="center" valign="middle" >13</td></tr><tr><td align="center" valign="middle" >Contraceptives</td><td align="center" valign="middle" >13</td></tr></tbody></table></table-wrap><p>In this picture, the majority of patients were breastfeeding in 56.4% of cases.</p><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Distribution of cases by receptor</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Receivers</th><th align="center" valign="middle" >Workforce</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Hormonal</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >25.5</td></tr><tr><td align="center" valign="middle" >Estrogenics</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >24.5</td></tr><tr><td align="center" valign="middle" >Progesteronics</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >8.2</td></tr><tr><td align="center" valign="middle" >HER 2+ overexpression</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >5.5</td></tr><tr><td align="center" valign="middle" >Unrealized</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >36.3</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>Hormone and estrogen receptors dominated in 25.5% and 24.5% of cases respectively.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Distribution of cases by molecular classificatio</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Parity</th><th align="center" valign="middle" >Workforce</th><th align="center" valign="middle" >%</th></tr></thead><tr><td align="center" valign="middle" >Nulliparous</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >25.4</td></tr><tr><td align="center" valign="middle" >Molecular classification</td><td align="center" valign="middle" >Workforce</td><td align="center" valign="middle" >%</td></tr><tr><td align="center" valign="middle" >HER 2+</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >12.5</td></tr><tr><td align="center" valign="middle" >Luminal A</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >39.5</td></tr><tr><td align="center" valign="middle" >Luminal B</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >16.6</td></tr><tr><td align="center" valign="middle" >Triple negative</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >31.2</td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >100</td></tr></tbody></table></table-wrap><p>The table shows that Luminal A dominated in 39.5% of cases.</p><p>This figure shows that infiltrating ductal carcinoma dominated the histological types, accounting for 58.8% of cases. Right phylloid tumor was the least common type, accounting for 1.8% of cases.</p></sec><sec id="s4"><title>4. Discussion</title><p>Breast cancer is the most common cancer in women, accounting for 16% of all female cancers. Every year, there are almost 1.38 million new cases and 458,000 deaths due to breast cancer. It is second only to cervical cancer.</p><p>In our series, during the study period from 1th January 2020 to December register of the Oncology Department of CH NGANDA for the period corresponding to the present study. Breast cancer was diagnosed in 110 patients, representing 14.9% of all cases.</p><p>In the Global Cancer Observatory series [<xref ref-type="bibr" rid="scirp.133217-ref10">10</xref>] , breast cancer is the second most common cancer after brochopulmonary cancer, with a frequency of 11.5%. Coulibaly found a lower frequency than ours, i.e. 10.44 cases of breast cancer per year. It emerges that our series, although under-estimated, a contextual evaluation in one of capital’s centres shows statistically high figures compared with the gloval or worldwide context, although limited in one corner, the global estimate of this breast cancer would be statistically more distant if all the country’s institutions were considered (DRC).</p><p>In our series, the 50 - 59 age group dominated, with 47 cases (42.7%). The mean age of the patients was 58.4 &#177; 8.2 years, with extremes ranging from 30 to 76 years. In the literature, breast cancer occurs in young women, with an average age of between 42 and 53 years, depending on the region. Coulibaly found that the age of onset varied between 16 and 85 years, with a mean of 50.48 &#177; 13.07 years, which is statistically no different from that found in the Cameroonian, Malian, Senegalese, French and Iraqi series [<xref ref-type="bibr" rid="scirp.133217-ref6">6</xref>] .</p><p>Kemeny in England [<xref ref-type="bibr" rid="scirp.133217-ref11">11</xref>] and Margaret in California, USA, report an average age of 55 to 60 years. This difference in average age between countries could be explained by higher life expectancy and the existence of a more efficient technical platform in developed countries [<xref ref-type="bibr" rid="scirp.133217-ref12">12</xref>] .</p><p>According to marital status, this study shows that the patients most concerned are married women, with 80 cases (72.7%). Married women accounted for 32% and divorced 31 2022, a total of 736 patients were enrolled in the hospitalization women 30%. Mahomed BISSAN found that 87.5% of women were married, followed by 5% of widows. Lamine. I. Traor&#233; found 66.5% of patients and Thiam. D (58) 66.1%. The husband is an important pillar in the medical-psychological care of his wife.</p><p>The multigestation population is the most affected, at 35.4%. Multiparous women are in the majority with 34.5%. M. BISSAN found that 58.66% of patients were multiparous, with an average of 5 children, and 61.25% had not used any form of contraception. The absence of risk factors does not eliminate the occurrence of breast cancer. In the literature, nulliparity or a first pregnancy after the age of 40 is a risk factor [<xref ref-type="bibr" rid="scirp.133217-ref4">4</xref>] . COULIBALY Ze&#239;nabou reports 1.06% nulliparity, which is statistically superposable with the nulliparity rates found in Malian, French and Cameroonian series. The majority of patients were breast-feeding in 56.4% of cases, and a family history of cancer was found in 10% of cases. In 5% - 10% of breast cancers, there is a genetic predisposition. A family history of breast cancer, the third risk factor, is found in around 20% of patients; the risk is particularly high when the cancer occurs in a first-degree relative under the age of 50 [<xref ref-type="bibr" rid="scirp.133217-ref10">10</xref>] . In the literature, only 5-10% of breast cancers are familial.</p><p>In the series by COULYBALY Z., 14 cases were found to have a family history of breast cancer, i.e. 21.28%, compared with 40.74% and 44.30% in the French and Central African series, with P &lt; 0.05. This difference may be related to sample size. There was no statistically significant difference in other series [<xref ref-type="bibr" rid="scirp.133217-ref6">6</xref>] .</p><p>Oral contraceptives and estrogen-progestin hormone replacement therapy (HRT) significantly increase the risk of breast cancer after five years of treatment. In our series, hormone and estrogen receptors dominated in 25.5% and 24.5% of cases, while Luminal A dominated in 17.3% of cases. COULIBALY Ze&#239;nabou found 8.51%, with no statistically significant difference from the rate found in a Cameroonian series with P = 0.484 [<xref ref-type="bibr" rid="scirp.133217-ref6">6</xref>] . On the other hand, it is lower than the rate found in the Malian [<xref ref-type="bibr" rid="scirp.133217-ref6">6</xref>] , Ugandan and Central African series, with a statistically significant difference (P &lt; 0.05). This difference could be explained by the fact that in the DEMOCRATIC REPUBLIC OF CONGO, the use of family planning products is one of the lowest in the world.</p></sec><sec id="s5"><title>5. Conclusions</title><p>This study has limitations that must be taken into when interpreting the results; firstly, the small sample size does not confer sufficient statistical power, and secondly, it is a monocentric study results cannot be extrapolated to other sites. Nevertheless, it is considered as a pilot study for other studies in this pathology.</p><p>Breast cancer is a major public health problem. Worldwide, it is the most frequently diagnosed cancer in women, and the leading cause of cancer-related death in women. In the Democratic Republic of Congo, because of the delay in consulting our patients and the weakness of systematic screening, patients are seen at an advanced stage of the disease. Treatment is multidisciplinary, involving surgery, radiotherapy, chemotherapy (including targeted therapies) and hormone therapy. Patient awareness and screening campaigns will contribute to a considerable reduction in the delay in diagnosis and the morbidity and mortality associated with breast cancer.</p></sec><sec id="s6"><title>Authors’ Contributions</title><p>All authors have read and approved the final version of this manuscript.</p></sec><sec id="s7"><title>Thanks</title><p>We are grateful to the Oncology Department of Nganda Hospital for providing us with the information we needed to write this paper.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Buanza, R.L., Lukuke, J.O., Lolangwa, F.B., Muela, A.M., Lwambwa, T.M., Ali, F.B., Mariama, S.S., Fayeta, B.-J., Binangu, M., Ngambika, J.I., Tasema, D.A. and Mvumbi, D. (2024) Immunohistochemical Profile of Breast Cancer: A Retrospective Study in the Democratic Republic of Congo. Journal of Cancer Therapy, 15, 222-230. https://doi.org/10.4236/jct.2024.155021</p></sec></body><back><ref-list><title>References</title><ref id="scirp.133217-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Benbakhta, B., Tazi, M., Benjaafar, N., Khattabi, A. and Maaroufi, A. (2015) D&amp;#233;terminants des d&amp;#233;lais patients et syst&amp;#232;me de sante&amp;#8217; des femmes atteintes d&amp;#8217;un cancer du sein au Maroc, 2013. &lt;i&gt;Revue d&lt;/i&gt;&amp;#8217;&lt;i&gt;Epid&amp;#233;miologie et de Sante&lt;/i&gt;&amp;#8217; &lt;i&gt;Publique&lt;/i&gt;, 63, 191-201. &lt;br&gt;https://doi.org/10.1016/j.respe.2015.03.121 </mixed-citation></ref><ref id="scirp.133217-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Alleman, I., Couvert-Mullot, H., B&amp;#233;ranger, C. and Gisserot, O. 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