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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">9100846</journal-id><journal-id journal-id-type="pubmed-jr-id">1173</journal-id><journal-id journal-id-type="nlm-ta">Cancer Causes Control</journal-id><journal-id journal-id-type="iso-abbrev">Cancer Causes Control</journal-id><journal-title-group><journal-title>Cancer causes &#x00026; control : CCC</journal-title></journal-title-group><issn pub-type="ppub">0957-5243</issn><issn pub-type="epub">1573-7225</issn></journal-meta><article-meta><article-id pub-id-type="pmid">32124187</article-id><article-id pub-id-type="pmc">7115156</article-id><article-id pub-id-type="doi">10.1007/s10552-020-01282-4</article-id><article-id pub-id-type="manuscript">NIHMS1570820</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Outcomes and Prognostic Factors for Women with Breast Cancer in Malawi</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Youngblood</surname><given-names>Victoria M.</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Nyirenda</surname><given-names>Ruth</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Nyasosela</surname><given-names>Richard</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Zuze</surname><given-names>Takondwa</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Yang</surname><given-names>Yi</given-names></name><xref ref-type="aff" rid="A4">4</xref></contrib><contrib contrib-type="author"><name><surname>Kudowa</surname><given-names>Evaristar</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Moses</surname><given-names>Agnes</given-names></name><xref ref-type="aff" rid="A5">5</xref></contrib><contrib contrib-type="author"><name><surname>Kincaid</surname><given-names>Jennifer</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A6">6</xref></contrib><contrib contrib-type="author"><name><surname>Kajombo</surname><given-names>Chifundo</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Kampani</surname><given-names>Coxcilly</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Chimzimu</surname><given-names>Fred</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Mulenga</surname><given-names>Maurice</given-names></name><xref ref-type="aff" rid="A3">3</xref></contrib><contrib contrib-type="author"><name><surname>Chilima</surname><given-names>Chrissie</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Ellis</surname><given-names>Grace K.</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Seguin</surname><given-names>Ryan</given-names></name><xref ref-type="aff" rid="A1">1</xref></contrib><contrib contrib-type="author"><name><surname>Chagomerana</surname><given-names>Maganizo</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Maine</surname><given-names>Rebecca</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Jordan</surname><given-names>Sheryl</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Charles</surname><given-names>Anthony</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Clara</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A7">7</xref></contrib><contrib contrib-type="author"><name><surname>Gopal</surname><given-names>Satish</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref><xref rid="CR1" ref-type="corresp">#</xref></contrib><contrib contrib-type="author"><name><surname>Tomoka</surname><given-names>Tamiwe</given-names></name><xref ref-type="aff" rid="A1">1</xref><xref ref-type="aff" rid="A2">2</xref><xref rid="CR1" ref-type="corresp">#</xref></contrib></contrib-group><aff id="A1"><label>1</label>UNC-Project Malawi</aff><aff id="A2"><label>2</label>University of North Carolina at Chapel Hill</aff><aff id="A3"><label>3</label>Kamuzu Central Hospital</aff><aff id="A4"><label>4</label>Aventura Hospital</aff><aff id="A5"><label>5</label>Partners in Hope</aff><aff id="A6"><label>6</label>Thomas Jefferson University</aff><aff id="A7"><label>7</label>Ohio State University</aff><author-notes><corresp id="CR1"><label>#</label>Correspondence should be addressed to: Satish Gopal, M.D., M.P.H <email>satish_gopal@med.unc.edu</email>, UNC Project-Malawi, Private Bag A-104, Lilongwe, Malawi, Tel. +265-1-755-056; Tamiwe Tomoka, M.B.B.S, <email>tomoka@unclilongwe.org</email>, UNC Project-Malawi, Private Bag A-104, Lilongwe, Malawi, Tel. +265-1-755-056</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>8</day><month>3</month><year>2020</year></pub-date><pub-date pub-type="epub"><day>02</day><month>3</month><year>2020</year></pub-date><pub-date pub-type="ppub"><month>4</month><year>2020</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>4</month><year>2021</year></pub-date><volume>31</volume><issue>4</issue><fpage>393</fpage><lpage>402</lpage><!--elocation-id from pubmed: 10.1007/s10552-020-01282-4--><abstract id="ABS1"><sec id="S1"><title>Background:</title><p id="P1">Breast cancer incidence in sub-Saharan Africa (SSA) is increasing, and SSA has the highest age-standardized breast cancer mortality rate worldwide. However, high-quality breast cancer data are limited in SSA.</p></sec><sec id="S2"><title>Material and Methods:</title><p id="P2">We examined breast cancer patient and tumor characteristics among women in Lilongwe, Malawi and evaluated risk factor associations with patient outcomes. We consecutively enrolled 100 women &#x02265;18 years with newly diagnosed, pathologically confirmed breast cancer into a prospective longitudinal cohort with systematically assessed demographic data, HIV status, and clinical characteristics. Tumor subtypes were further determined by immunohistochemistry, overall survival (OS) was estimated using Kaplan-Meier methods, and hazards ratios (HR) were calculated by Cox proportional hazard analyses.</p></sec><sec id="S3"><title>Results:</title><p id="P3">Of the 100 participants, median age was 49 years, 19 were HIV-positive, and 75 presented with late stage (III/IV) disease. HER2-enriched and triple negative/basal-like subtypes represented 17% and 25% tumors, respectively. One-year OS for the cohort was 74% (95% CI, 62%&#x02212;83%). Multivariable analyses revealed mortality was associated with HIV (HR, 5.15; 95% CI, 1.58&#x02013;16.76; p=0.006), stage IV disease (HR, 8.86; 95% CI, 1.07&#x02013;73.25; p=0.043), and HER2-enriched (HR, 7.46; 95% CI, 1.21&#x02013;46.07; p=0.031) and triple-negative subtypes (HR, 7.80; 95% CI, 1.39&#x02013;43.69; p=0.020).</p></sec><sec id="S4"><title>Conclusions:</title><p id="P4">Late stage presentation, HER2-enriched and triple-negative subtypes, and HIV coinfection were overrepresented in our cohort relative to resource-rich settings and were associated with mortality. These findings highlight robust opportunities for population- and patient-level interventions across the entire cascade of care to improve breast cancer outcomes in low-income countries in SSA.</p></sec></abstract><kwd-group><kwd>breast cancer</kwd><kwd>global health</kwd><kwd>sub-Saharan Africa</kwd></kwd-group></article-meta></front><body><sec id="S5"><title>Introduction</title><p id="P5">Breast cancer is the most common malignancy among women worldwide, with rising incidence and mortality in low- and middle-income countries (LMICs) [<xref rid="R1" ref-type="bibr">1</xref>]. As a region, sub-Saharan Africa (SSA) has one of the highest age-standardized breast cancer mortality rate globally (17 per 100,000) despite lower incidence than high-income countries (HICs) including the United States, Australia, and the United Kingdom (33, 85, 94 and 94 per 100,000, respectively [<xref rid="R2" ref-type="bibr">2</xref>, <xref rid="R3" ref-type="bibr">3</xref>]. This high mortality-to-incidence ratio is multifaceted and attributable to limited early detection and surveillance, advanced stage at diagnosis, and limited access to standard treatment modalities including targeted therapies [<xref rid="R4" ref-type="bibr">4</xref>&#x02013;<xref rid="R7" ref-type="bibr">7</xref>].</p><p id="P6">In Malawi, a LMIC in southeastern SSA with a population of ~18 million and GDP per capita of $338, breast cancer is the fourth most commonly diagnosed cancer among women [<xref rid="R8" ref-type="bibr">8</xref>&#x02013;<xref rid="R10" ref-type="bibr">10</xref>]. Of the ~18 million residents of Malawi, ~1 million reside in the 403 km<sup>3</sup> area of the capital, Lilongwe, located in the central region which primarily consists of Chewa (71%), Tumbuka (3.2%), and Lomwe (3.1%) tribes [<xref rid="R11" ref-type="bibr">11</xref>]. Though breast cancer represents approximately 4&#x02013;7% of new female cancer diagnoses in Malawi, this incidence is predicted to increase due to population aging, &#x02018;Westernization&#x02019; of lifestyles, declining morbidity and mortality related to infectious diseases such as HIV, and corresponding rise of non-communicable diseases [<xref rid="R8" ref-type="bibr">8</xref>, <xref rid="R10" ref-type="bibr">10</xref>, <xref rid="R12" ref-type="bibr">12</xref>&#x02013;<xref rid="R15" ref-type="bibr">15</xref>]. Given high HIV prevalence in SSA, HIV is a relatively common comorbidity among women with breast cancer in the region [<xref rid="R16" ref-type="bibr">16</xref>]. Breast cancer is a non-AIDS-defining cancer, and HIV infection has previously been associated with increased mortality among women with breast cancer [<xref rid="R17" ref-type="bibr">17</xref>], as well as advanced stage [<xref rid="R18" ref-type="bibr">18</xref>, <xref rid="R19" ref-type="bibr">19</xref>]. Other studies, however, have not observed these associations [<xref rid="R20" ref-type="bibr">20</xref>, <xref rid="R21" ref-type="bibr">21</xref>].</p><p id="P7">Despite significant recent advancements in cancer clinical research capacity in Malawi [<xref rid="R22" ref-type="bibr">22</xref>], high-quality data on breast cancer are limited. These constraints are partially attributed to the severe healthcare worker shortage, particular for cancer services, with only two Malawian clinical oncologists and four Malawi pathologists currently living and working in the country. Additionally, prior research has been limited to cross-sectional or retrospective studies and has lacked detailed clinical and pathologic characterization [<xref rid="R23" ref-type="bibr">23</xref>]. Thus, little is known about patient risk factors, tumor histological subtypes, patterns of treatment response, and long-term clinical outcomes. Without high-quality data in these domains, breast cancer control efforts are severely constrained.</p><p id="P8">We report initial results from a prospective cohort of consecutively enrolled Malawian women with newly diagnosed, pathologically confirmed breast cancer at Kamuzu Central Hospital (KCH), one of two national teaching hospitals, and provides cancer services for approximately half the country, or a catchment area of ~9 million people. In the absence of rigorous, prospective, longitudinal breast cancer data from SSA, we describe clinical presentation, tumor immunophenotypes, treatment, and outcomes among women in our cohort. Our overall study aim was to generate foundational data for optimizing breast cancer management in Malawi and throughout SSA.</p></sec><sec id="S6"><title>Methods</title><sec id="S7"><title>Patient Enrollment, Pathology, and Clinical Care</title><p id="P9">We consecutively enrolled 100 women aged 18 years or older with newly diagnosed, pathologically confirmed breast cancer in a prospective longitudinal cohort study between December 2016 and October 2018. The study was approved by the Institutional Review Board at the University of North Carolina at Chapel Hill and the Malawi National Health Science Research Committee, and all participants provided written informed consent at the time of enrollment.</p><p id="P10">Women with clinically suspected breast cancer underwent core needle biopsy. There is no routine breast cancer screening in Malawi currently, and essentially all women therefore presented with clinically symptomatic disease as defined by at least one self-reported physical breast abnormality consistent with breast cancer. Tumor specimens were assessed in the KCH Pathology Laboratory by a dedicated Malawian study pathologist (T.T.). Tumor grade was determined using the modified Bloom-Richardson system [<xref rid="R24" ref-type="bibr">24</xref>]. All specimens were evaluated for estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki67 antigen by immunohistochemistry and scored according to the College of American Pathologist guidelines [<xref rid="R25" ref-type="bibr">25</xref>, <xref rid="R26" ref-type="bibr">26</xref>]. Antibodies targeting ER (NCL-L-ER-6F11; Novocastra, Buffalo Grove, IL, USA), PR (NCL-L-PGR-312; Novocastra, Buffalo Grove, IL, USA), and HER2 (ACA342B; Biocare Medical, Pacheco, CA, USA) were used for receptor detection. ER and PR positivity were defined as &#x02265;1% of tumor cell nuclei being immunoreactive [<xref rid="R25" ref-type="bibr">25</xref>]. HER2 positivity (3+) was defined as &#x0003e;30% of tumor cell membranes exhibiting uniform intense staining, HER2 negativity (0 and 1+ ) was defined as no staining or weak, and partial membrane staining in any proportion of tumor cells [<xref rid="R26" ref-type="bibr">26</xref>]. In situ hybridization (ISH) was not available to adjudicate equivocal cases (2+). Following pathologic confirmation of invasive breast cancer, demographic and risk factor data were obtained through patient interviews and medical record review. HIV status was confirmed at the time of study enrollment, along with HIV viral load and CD4 count assessment for women who were HIV-positive. Patients with HIV were initiated or maintained on antiretroviral therapy throughout the study in collaboration with HIV clinicians, according to Malawi national guidelines. Breast cancer staging was performed using physical exam, chest radiography, abdominal ultrasonography, and plain radiography as clinically indicated. Other imaging studies including computed tomography were applied selectively, due to limited public sector availability and high cost. Magnetic resonance imaging and nuclear medicine scanning were not available at KCH.</p><p id="P11">Participants received treatment according to KCH institutional standards of care, which are modeled after the National Comprehensive Cancer Network Harmonized Guidelines for SSA [<xref rid="R27" ref-type="bibr">27</xref>]. Women with locally advanced tumors but without evidence of distant metastases were typically offered neoadjuvant chemotherapy with a goal of achieving adequate tumor shrinkage to facilitate surgical resection. Women with operable tumors, before or after chemotherapy, underwent modified radical mastectomy. Adjuvant and neoadjuvant chemotherapy typically included four to six 21-day cycles of doxorubicin plus cyclophosphamide followed by a single-agent taxane (paclitaxel or docetaxel) for three 21-day cycles. Palliative-intent chemotherapy generally included single-agent paclitaxel or doxorubicin given in 21-day cycles. Tamoxifen was administered to ER/PR+ women. No women received HER2-targeted treatments, which are not available in the Malawi public sector.</p></sec><sec id="S8"><title>Statistical Analyses</title><p id="P12">Cohort characteristics were summarized using simple descriptive statistics. Categorical data was analyzed using Chi-squared or Fisher&#x02019;s exact tests and were summarized using frequencies and percentages as appropriate. Continuous variables were summarized using median values with absolute ranges. Differences between groups were evaluated using the nonparametric Mann-Whitney test as indicated. P-values were 2-sided, and a p-value&#x02009;&#x0003c;&#x02009;0.05 was considered statistically significant. Kaplan-Meier curves were used to estimate overall survival (OS) and the log-rank test was used to assess differences in survival between groups. Follow-up time was calculated from enrollment until death, loss to follow-up (LTFU), or administrative censoring on January 15, 2019. Adjusted and unadjusted Cox proportional hazards regressions were used to estimate hazard ratios (HR) and 95% confidence intervals (CIs) to determine factors associated with mortality. For our multivariable cox regression model, we selected variables based on a p-value &#x0003c;0.2 from the univariable analysis or high clinical significance. Our multivariable analysis included age (continuous), HIV status (reference was negative status), stage (reference was stage II), and molecular subtype (reference was luminal A). Given a high HIV infection rate in our cohort, we also explored differences in patient characteristics and outcomes stratified by HIV status. To evaluate potential bias in OS estimates resulting from LTFU, additional sensitivity analyses were performed assuming all LTFU patients died at the time of their last known contact (worst case scenario). All analyses were conducted using STATA version 15.1 (STATA, College Station, TX, USA) and GraphPad Prism version 8.0 (GraphPad, San Diego, CA, USA).</p></sec></sec><sec id="S9"><title>Results</title><sec id="S10"><title>Patient Characteristics</title><p id="P13">Between December 2016 and October 2018, 100 of 101 eligible women with newly diagnosed breast cancer were enrolled in the cohort (<xref rid="T1" ref-type="table">Table 1</xref>), with only one woman with pathologically confirmed breast cancer at KCH declining to be enrolled. The median age was 49 years (range 21&#x02013;80 years). HIV status was determined for 99 (99%) of patients in which 19 (19%) were HIV-positive&#x02014;4 (4%) were newly diagnosed with HIV at the time of enrollment and 15 (15%) had a prior HIV diagnosis and were enrolled a median of 3.1 years (range, 0.1&#x02013;9.9 years) after their initial HIV diagnosis. Among the 19 HIV-positive patients, 13 had CD4 count and HIV viral load measurements performed at enrollment, with a median CD4 count of 466 cells/&#x003bc;L (range 101&#x02013;737 cells/&#x003bc;L) and 10 (77%) with an HIV viral load &#x0003c;1000 copies/mL (<xref rid="T1" ref-type="table">Table 1</xref>). Two patients had AIDS at the time of enrollment as defined as CD4 count &#x0003c;200 cells/&#x003bc;L. Seventy-eight patients presented with a palpable mass &#x0003e;5cm, and 28 had clinically evident tumor ulceration. Of 91 formally staged patients, 48 (53%) presented with stage III, and 27 (30%) presented with stage IV. No patients presented with stage I. Most women had T4 tumors (n=64, 68%), and an even higher proportion had at least N1 clinical lymph node involvement (n=77, 87%).</p></sec><sec id="S11"><title>Tumor Characteristics</title><p id="P14">Histologic characterization of biopsies from all 100 women revealed 35 grade II tumors and 37 grade III tumors (<xref rid="T2" ref-type="table">Table 2</xref>). Immunophenotyping revealed 49 tumors to be ER+, 40 PR+, and 24 HER2+. The Ki67 proliferation index was high in the cohort overall, evidenced by 49 women with a Ki67 staining scored of &#x0003e;15%. Based on immunophenotype, tumor samples were further classified into anticipated molecular subtypes based on the St. Gallen International Expert Consensus with the following results: 23 luminal A (ER/PR+/HER2&#x02212;), 27 luminal B (ER/PR+/HER2+ or ER/PR+/HER2&#x02212;/Ki67&#x0003e;15%), 17 HER2-enriched (ER/PR&#x02212;/HER2+), 25 triple negative/basal-like (ER/PR&#x02212;/HER2&#x02212;), and 8 unclassifiable tumors (<xref rid="T2" ref-type="table">Table 2</xref>) [<xref rid="R28" ref-type="bibr">28</xref>].</p></sec><sec id="S12"><title>Treatment</title><p id="P15">Treatment for enrolled patients is summarized in <xref rid="F1" ref-type="fig">Figure 1</xref>. Women initially underwent either upfront curative- or palliative-intent treatment based on stage at presentation and tumor characteristics. Twenty-eight women immediately began palliative-intent treatment including one patient who received palliative surgery, most of whom presented with stage IV disease. Of 72 women eligible for curative-intent treatment, four patients died before receiving treatment, three elected not to receive any cancer treatment despite counseling, and 65 received treatment. Among 65 women who received initial curative-intent treatment, 12 received upfront surgical intervention. Fifty-three women were eligible for possible delayed surgical intervention after neoadjuvant treatment with adequate tumor downsizing, 35 of whom underwent surgery (<xref rid="F1" ref-type="fig">Figure 1</xref>).</p></sec><sec id="S13"><title>Outcomes and Cancer-Related Risk Factors for Mortality</title><p id="P16">As of January 15, 2019, vital status was known for 84 of the 100 women enrolled in the cohort. Median OS was 20.2 months, and 1-year OS was 74% (95% CI, 62&#x02013;83%). Sensitivity analysis incorporating worst case scenario for LTFU patients resulted in median OS 16.5 months and 1-year OS was 67% (95% CI, 55&#x02013;76%) (<xref rid="F2" ref-type="fig">Figure 2A</xref>). Advanced stage was associated with decreased OS (<xref rid="F2" ref-type="fig">Figure 2B</xref>; p&#x0003c;0.001), such that one-year OS for stage II was 93% (95% CI, 61&#x02013;99), for stage III was 85% (95% CI, 68&#x02013;93), and for stage IV was 43% (95% CI, 22&#x02013;63). Larger tumor size and lymph node involvement were also associated with worse OS (<xref rid="F2" ref-type="fig">Figure 2C</xref>&#x00026;<xref rid="F2" ref-type="fig">D</xref>; p=0.018, p=0.027). Worst case scenario sensitivity analyses revealed similar associations with mortality for stage, tumor size, and clinical lymph node involvement.</p><p id="P17">Tumor characteristics had mixed associations with mortality. There was no detected relationship between histologic grade and mortality (p=0.26), but immunophenotypically assigned molecular subtype had a significant relationship with OS (<xref rid="F2" ref-type="fig">Figure 2E</xref>&#x00026;<xref rid="F2" ref-type="fig">F</xref>; p=0.015). One-year OS among patients with luminal A breast cancer was 100%, for luminal B was 74% (95% CI, 50%&#x02212;88%), for HER2-enriched was 60% (95% CI, 22%&#x02212;84%), and for triple negative was 57% (95% CI, 30%&#x02212;75%).</p><p id="P18">Cox regression analyses were used to determine whether specific factors were associated with increased mortality (<xref rid="T3" ref-type="table">Table 3</xref>). Our multivariable analysis included age, HIV status, stage, and molecular subtype (<xref rid="T3" ref-type="table">Table 3</xref>). Advanced stage was associated with mortality (HR for stage IV vs. stage II, 8.86; 95% CI, 1.07&#x02013;73.25; p=0.043). Compared to patients with luminal A tumors, mortality was also associated with having a HER2-enriched (HR, 7.46; 95% CI, 1.21&#x02013;46.07; p=0.031), and triple-negative (HR, 7.80; 95% CI, 1.39&#x02013;43.69; p=0.020) tumor immunophenotype.</p></sec><sec id="S14"><title>Impact of HIV</title><p id="P19">In adjusted analyses, we also found HIV status was associated with increased mortality (<xref rid="T3" ref-type="table">Table 3</xref>; HR, 5.15; 95% CI, 1.58&#x02013;16.76; p=0.006), although this was not observed in unadjusted analyses. Given HIV infection in 19% of our cohort, reflecting high seroprevalence overall in Malawi, we explored differences in patient characteristics and outcomes stratified by HIV status (<xref rid="T4" ref-type="table">Table 4</xref>). The median age of HIV-positive and HIV-negative women was similar, and the distribution of tumor stage and molecular subtypes were also comparable between both groups. Furthermore, HIV-positive women had a 1-year OS of 71% (95% CI, 43%&#x02212;87%), and HIV-negative women had a 1-year OS of 73% (95% CI, 58%&#x02212;84%) (<xref rid="F3" ref-type="fig">Figure 3A</xref>; p=0.40), although exploratory analyses stratified by the presence of distance metastases at enrollment suggested possible adverse effects of HIV particularly among the subgroup of women with distant metastases (<xref rid="F3" ref-type="fig">Figure 3B</xref>; p&#x0003c;0.001). Since immunosurveillence plays a role in breast cancer progression [<xref rid="R29" ref-type="bibr">29</xref>], we further evaluated whether a low CD4 count (&#x0003c;500 cells/&#x003bc;L) within our HIV-positive patients was associated with distant metastases, yet we did not observed a significant association (Fisher&#x02019;s exact p=0.075).</p></sec></sec><sec id="S15"><title>Discussion</title><p id="P20">Breast cancer is the most common malignancy among women worldwide and the fourth most common in Malawi [<xref rid="R1" ref-type="bibr">1</xref>, <xref rid="R8" ref-type="bibr">8</xref>, <xref rid="R10" ref-type="bibr">10</xref>]. As the first prospective breast cancer cohort in Malawi, and one of the first such cohorts with detailed clinical and pathologic characterization from SSA, we sought to provide robust baseline data highlighting unique features of breast cancer presentation, treatment, and outcomes from a low-income country in the region.</p><p id="P21">Similar to other breast cancer studies in SSA, women in our cohort presented at a younger age and with more advanced disease compared to HICs. Recent efforts in Malawi have sought to increase breast cancer awareness and promote early detection through use of clinical breast exams [<xref rid="R23" ref-type="bibr">23</xref>, <xref rid="R30" ref-type="bibr">30</xref>]. However, we found continued presentation by most women at KCH with bulky tumors often having associated ulceration, indicating a critical need for continued community education, screening, and early detection efforts to identify breast cancers at earlier stages. This is particularly important in light of the significant, albeit expected, associations between mortality and clinical stage, tumor size, and lymph node involvement in our cohort, and the high 1-year OS for the minority of women diagnosed with stage II tumors, even with locally available public sector treatment in Malawi. Optimal strategies for breast cancer screening and early detection in SSA remain uncertain, and much more additional work is needed in this area to identify the most culturally acceptable, programmatically scalable, and economically efficient strategies.</p><p id="P22">In addition to advanced disease stage and young age at the time of diagnosis, women in SSA are more frequently diagnosed with biologically aggressive tumors like HER2-enriched or TNBC [<xref rid="R31" ref-type="bibr">31</xref>, <xref rid="R32" ref-type="bibr">32</xref>]. Our study presents the first description of immunophenotypically defined molecular subtypes from Malawi, and are also among the first such data from SSA. To date, many breast receptor profiling studies in SSA have described women primarily from West and East Africa, with few reports focusing on Central and Southern Africa [<xref rid="R33" ref-type="bibr">33</xref>, <xref rid="R34" ref-type="bibr">34</xref>]. Reflecting marked population and environmental differences across SSA, these studies have reported marked variation in ER positivity (ranging from 14&#x02013;70%), PR positivity, and HER2 positivity [<xref rid="R34" ref-type="bibr">34</xref>].</p><p id="P23">In our cohort, 23% of women had luminal A subtype, in contrast to HICs where luminal A accounts for 59&#x02013;73% of breast cancer cases [<xref rid="R35" ref-type="bibr">35</xref>&#x02013;<xref rid="R37" ref-type="bibr">37</xref>]. This is of particular significance since luminal A is a less aggressive subtype, can often be treated with endocrine therapy without chemotherapy, and has a high survival probability. Additionally, 17% of women had HER2-enriched tumors and 25% of women had triple-negative breast cancer, which again differs from subtype distributions in HICs, but is similar to distributions among women of African descent in HICs and highlights previously described racial differences in breast cancer biology [<xref rid="R37" ref-type="bibr">37</xref>, <xref rid="R38" ref-type="bibr">38</xref>].</p><p id="P24">In addition to late diagnosis and aggressive tumor biology, our results also highlight potential adverse effects of limited treatment resources in the Malawi public health sector. Currently, the only targeted therapy available for breast cancer in the Malawi public sector is tamoxifen. Trastuzumab is not available, similar to many SSA countries, despite its proven efficacy for HER2-positive breast cancers in HICs and recent efficacy demonstration for a trastuzumab biosimilar [<xref rid="R39" ref-type="bibr">39</xref>, <xref rid="R40" ref-type="bibr">40</xref>]. Although the HER2-enriched subtype typically accounts for only 6% of cases in HICs [<xref rid="R36" ref-type="bibr">36</xref>], 17% of women in our cohort presented with the subtype, similar to findings from other studies in the region [<xref rid="R41" ref-type="bibr">41</xref>&#x02013;<xref rid="R43" ref-type="bibr">43</xref>]. Moreover, those who presented with HER2-enriched breast cancer among our group experienced a high mortality rate, underscoring a clear opportunity to improve outcomes by applying a proven treatment to this selected subgroup of patients. Although the addition of trastuzumab to current systemic therapies would likely improve outcomes for many HER2-enriched breast cancer patients, increasing access to this targeted therapy will require multilateral engagement by patient advocacy groups, development agencies, pharmaceutical companies, and policymakers, analogous to such efforts for HIV.</p><p id="P25">Although breast cancer is not a malignancy with known HIV association, 19% of our patients were HIV-positive, compared with a 13% HIV-infection prevalence among age-matched women in Malawi [<xref rid="R44" ref-type="bibr">44</xref>]. In HICs, HIV-positive individuals have lower breast cancer incidence compared with HIV-negative populations [<xref rid="R45" ref-type="bibr">45</xref>]. However, our findings are consistent with recent reports from Botswana and South Africa, which found 31% and 18% prevalence of HIV among women with breast cancer, respectively, in both instances higher than national HIV prevalence in the general population [<xref rid="R42" ref-type="bibr">42</xref>, <xref rid="R46" ref-type="bibr">46</xref>]. As in Botswana and South Africa, HIV-infected women in our cohort also had typically well controlled HIV with high CD4 counts. With increasing HIV treatment access, HIV-infected populations in SSA are experiencing reduced HIV-associated morbidity and mortality, and life expectancies are becoming more similar to those in HICs [<xref rid="R47" ref-type="bibr">47</xref>]. As in HICs, this will likely lead to increased risk of non-AIDS-associated comorbidities compared with untreated HIV-infected populations. While further investigations are needed to determine possible epidemiologic links between breast cancer and HIV, the high prevalence of HIV in SSA and improving life expectancy for people living with HIV suggest that many women in the region with breast cancer will also be HIV-positive. Thus, elucidating potential effects of HIV on clinical presentations, tumor biology, treatment intensity and tolerance, and outcomes is an important regional research priority. This is especially important since our data and other regional reports suggest these women may have inferior outcomes, and data from HICs have reported possibly increased treatment-related infectious complications among HIV-positive women with breast cancer [<xref rid="R48" ref-type="bibr">48</xref>].</p><p id="P26">The primary strengths of our study include its prospective, longitudinal design, with standardized clinical and histologic evaluation of enrolled patients, including detailed tumor immunophenotyping. Women were consecutively enrolled and received routine care in the public sector of a national teaching hospital without major exclusions. LTFU rates were relatively low. Limitations include study conduct at a single institution with relatively small sample size, and the lack of detailed data regarding cause of death and treatment-related complications among enrolled women. Additionally, there is intrinsic referral bias among women seen at a tertiary care hospital, who may not represent women with breast cancer in community settings, especially rural areas.</p><p id="P27">In conclusion, among prospectively enrolled women with breast cancer in Malawi, we found young age, advanced disease, aggressive tumor biology, frequent HIV coinfection, and poor outcomes, relative to HICs. Advanced stage, tumor immunophenotype, and HIV coinfection were associated with mortality. These findings highlight major opportunities to intervene across the entire breast cancer control spectrum, from earlier detection to improved access to proven treatments to enhanced HIV co-management. It is likely only through such multifaceted, comprehensive efforts, that the overall goal of reducing morbidity and mortality from breast cancer in SSA can be achieved.</p></sec></body><back><ack id="S16"><title>Acknowledgments</title><p id="P28">We are grateful to patients, families, staff, and leadership at Kamuzu Central Hospital and UNC Project-Malawi for their support of this project.</p><p id="P29">Financial Support:
<list list-type="order" id="L1"><list-item><p id="P30">UJMT Fogarty Global Health Fellowship Program: D43TW009340;</p></list-item><list-item><p id="P31">Lineberger Comprehensive Cancer Center: P30CA016086</p></list-item><list-item><p id="P32">UNC Breast Cancer Specialized Program of Research Excellence: P50CA058223</p></list-item><list-item><p id="P33">Malawi Cancer Consortium and Regional Center of Excellence for NCDs: U54CA190152, P20CA210285</p></list-item><list-item><p id="P34">Medical Education Partnership Initiative: R24TW008927;</p></list-item><list-item><p id="P35">UNC Center for AIDS Research: P30AI050410.</p></list-item></list></p></ack><fn-group><fn fn-type="COI-statement" id="FN1"><p id="P36">There are no conflicts of interest.</p></fn><fn id="FN2"><p id="P37" content-type="publisher-disclaimer">This Author Accepted Manuscript is a PDF file of an unedited peer-reviewed manuscript that has been accepted for publication but has not been copyedited or corrected. The official version of record that is published in the journal is kept up to date and so may therefore differ from this version.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Torre</surname><given-names>LA</given-names></name>, <name><surname>Siegel</surname><given-names>RL</given-names></name>, <name><surname>Ward</surname><given-names>EM</given-names></name>, <name><surname>Jemal</surname><given-names>A</given-names></name> (<year>2016</year>) <article-title>Global cancer incidence and mortality rates and trends - An update</article-title>. <source>Cancer Epidemiol. Biomarkers Prev</source></mixed-citation></ref><ref id="R2"><label>2.</label><mixed-citation publication-type="journal"><name><surname>Azubuike</surname><given-names>SO</given-names></name>, <name><surname>Muirhead</surname><given-names>C</given-names></name>, <name><surname>Hayes</surname><given-names>L</given-names></name>, <name><surname>McNally</surname><given-names>R</given-names></name> (<year>2018</year>) <article-title>Rising global burden of breast cancer: The case of sub-Saharan Africa (with emphasis on Nigeria) and implications for regional development: A review</article-title>. <source>World J. Surg. Oncol</source></mixed-citation></ref><ref id="R3"><label>3.</label><mixed-citation publication-type="journal"><name><surname>Bray</surname><given-names>F</given-names></name>, <name><surname>Ferlay</surname><given-names>J</given-names></name>, <name><surname>Soerjomataram</surname><given-names>I</given-names></name>, <etal/> (<year>2018</year>) <article-title>Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries</article-title>. <source>CA Cancer J Clin</source>
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<pub-id pub-id-type="doi">10.1200/jco.2012.30.15_suppl.1071</pub-id></mixed-citation></ref></ref-list></back><floats-group><fig id="F1" orientation="portrait" position="float"><label>Figure 1:</label><caption><title>Treatment Overview among Newly Diagnosed Women with Breast Cancer in Lilongwe, Malawi, 2016&#x02013;2018.</title><p id="P38"><sup>a</sup> Died prior to cancer treatment, n=4; Declined any cancer treatment, n=3.</p></caption><graphic xlink:href="nihms-1570820-f0001"/></fig><fig id="F2" orientation="portrait" position="float"><label>Figure 2:</label><caption><title>Overall survival (OS) among newly diagnosed women with breast cancer in Lilongwe, Malawi, 2016&#x02013;2018, by clinical and pathological characteristics.</title><p id="P39">(A) OS of the Malawi breast cancer cohort with sensitivity analysis demonstrating best and worst case scenarios; (B) OS by clinical stage; (C) OS by tumor size; (D) OS by clinical node involvement; (E) OS by histological grade; (F) OS by molecular subtype.</p></caption><graphic xlink:href="nihms-1570820-f0002"/></fig><fig id="F3" orientation="portrait" position="float"><label>Figure 3.</label><caption><title>Overall survival (OS) among newly diagnosed women with breast cancer in Lilongwe, Malawi, 2016&#x02013;2018, by HIV status.</title><p id="P40">(A) OS by HIV status; (B) OS by HIV status and M1 disease.</p></caption><graphic xlink:href="nihms-1570820-f0003"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1.</label><caption><p id="P41">Patient Characteristics among Newly Diagnosed Women with Breast Cancer in Lilongwe, Malawi, 2016&#x02013;2018</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristic</th><th align="center" valign="top" rowspan="1" colspan="1">n</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">100</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Sociodemographic Factors</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age, years</td><td align="center" valign="top" rowspan="1" colspan="1">49.2 (21&#x02013;80) <sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Resides outside of Lilongwe</td><td align="center" valign="top" rowspan="1" colspan="1">82</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Did not complete primary school</td><td align="center" valign="top" rowspan="1" colspan="1">43</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Earthen floor</td><td align="center" valign="top" rowspan="1" colspan="1">45</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Non-tap water source</td><td align="center" valign="top" rowspan="1" colspan="1">38</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Medical History and Risk Factors</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Family history of cancer</td><td align="center" valign="top" rowspan="1" colspan="1">17</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Breast cancer</td><td align="center" valign="top" rowspan="1" colspan="1">4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Performed prior self-breast exam(s) in past year, self-reported</td><td align="center" valign="top" rowspan="1" colspan="1">59</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Age at menarche, years</td><td align="center" valign="top" rowspan="1" colspan="1">15 (10&#x02013;19) <sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Number of pregnancies</td><td align="center" valign="top" rowspan="1" colspan="1">6 (0&#x02013;15) <sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Ever breastfed</td><td align="center" valign="top" rowspan="1" colspan="1">94</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Used contraception</td><td align="center" valign="top" rowspan="1" colspan="1">51</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Combined oral contraception</td><td align="center" valign="top" rowspan="1" colspan="1">17</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Prior alcohol use</td><td align="center" valign="top" rowspan="1" colspan="1">19</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Prior tobacco use</td><td align="center" valign="top" rowspan="1" colspan="1">8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Clinical Exam</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic>ECOG</italic>
<sup><xref rid="TFN2" ref-type="table-fn">b</xref></sup>
<italic>performance score</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Score &#x02264; 2</td><td align="center" valign="top" rowspan="1" colspan="1">98</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Score &#x0003e; 2</td><td align="center" valign="top" rowspan="1" colspan="1">2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic>HIV-Status</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Positive</td><td align="center" valign="top" rowspan="1" colspan="1">19</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02003;CD4 count, cell/&#x000b5;L</td><td align="center" valign="top" rowspan="1" colspan="1">466 (101&#x02013;737 ) <sup><xref rid="TFN1" ref-type="table-fn">a</xref>,<xref rid="TFN3" ref-type="table-fn">c</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02003;HIV RNA &#x0003c;1000 copies/mL</td><td align="center" valign="top" rowspan="1" colspan="1">10</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Negative</td><td align="center" valign="top" rowspan="1" colspan="1">88</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Unknown</td><td align="center" valign="top" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic>Palpable mass</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x0003e;5cm</td><td align="center" valign="top" rowspan="1" colspan="1">78</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02264;5cm</td><td align="center" valign="top" rowspan="1" colspan="1">20</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Size not recorded</td><td align="center" valign="top" rowspan="1" colspan="1">2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic>Tumor ulceration</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Present</td><td align="center" valign="top" rowspan="1" colspan="1">28</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Absent</td><td align="center" valign="top" rowspan="1" colspan="1">70</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Not recorded</td><td align="center" valign="top" rowspan="1" colspan="1">2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic>Clinical tumor size classification</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02264; T3</td><td align="center" valign="top" rowspan="1" colspan="1">29</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;T4 (Direct extension to chest wall and/or skin)</td><td align="center" valign="top" rowspan="1" colspan="1">64</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Not recorded</td><td align="center" valign="top" rowspan="1" colspan="1">7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;<italic>Clinical lymph node involvement</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;N0</td><td align="center" valign="top" rowspan="1" colspan="1">12</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;&#x02265;N1</td><td align="center" valign="top" rowspan="1" colspan="1">77</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;&#x02003;Not recorded</td><td align="center" valign="top" rowspan="1" colspan="1">11</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Tumor Staging</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Stage I</td><td align="center" valign="top" rowspan="1" colspan="1">0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Stage II</td><td align="center" valign="top" rowspan="1" colspan="1">16</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Stage III</td><td align="center" valign="top" rowspan="1" colspan="1">48</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Stage IV</td><td align="center" valign="top" rowspan="1" colspan="1">27</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not recorded</td><td align="center" valign="top" rowspan="1" colspan="1">9</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>a</label><p id="P42">median, (range);</p></fn><fn id="TFN2"><label>b</label><p id="P43">Eastern Cooperative Oncology Group;</p></fn><fn id="TFN3"><label>c</label><p id="P44">n=13</p></fn></table-wrap-foot></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2:</label><caption><p id="P45">Tumor Characteristics among Newly Diagnosed Women with Breast Cancer in Lilongwe, Malawi, 2016&#x02013;2018.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="top" rowspan="1" colspan="1">Characteristic</th><th align="center" valign="top" rowspan="1" colspan="1">n</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Total</td><td align="center" valign="top" rowspan="1" colspan="1">100</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Histological Type</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Invasive Ductal</td><td align="center" valign="top" rowspan="1" colspan="1">91</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Invasive Lobular</td><td align="center" valign="top" rowspan="1" colspan="1">2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Mucinous/Colloid</td><td align="center" valign="top" rowspan="1" colspan="1">4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Papillary</td><td align="center" valign="top" rowspan="1" colspan="1">1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Carcinoma NOS</td><td align="center" valign="top" rowspan="1" colspan="1">2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Pathologic Grade</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;I</td><td align="center" valign="top" rowspan="1" colspan="1">25</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;II</td><td align="center" valign="top" rowspan="1" colspan="1">35</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;III</td><td align="center" valign="top" rowspan="1" colspan="1">37</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Unable to grade</td><td align="center" valign="top" rowspan="1" colspan="1">3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Receptor and Ki67 Status by Immunohistochemistry</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Estrogen receptor-positive (ER+)</td><td align="center" valign="top" rowspan="1" colspan="1">49</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Unable to assess</td><td align="center" valign="top" rowspan="1" colspan="1">3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Progesterone receptor-positive (PR+)</td><td align="center" valign="top" rowspan="1" colspan="1">40</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Unable to assess</td><td align="center" valign="top" rowspan="1" colspan="1">4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;HER2-positive (HER2+)</td><td align="center" valign="top" rowspan="1" colspan="1">24</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Unequivocal</td><td align="center" valign="top" rowspan="1" colspan="1">2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Unable to assess</td><td align="center" valign="top" rowspan="1" colspan="1">6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Ki67 &#x02265;15%</td><td align="center" valign="top" rowspan="1" colspan="1">49</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02003;Unable to assess</td><td align="center" valign="top" rowspan="1" colspan="1">5</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Molecular Subtype by Immunohistochemistry</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td colspan="2" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Luminal A</td><td align="center" valign="top" rowspan="1" colspan="1">23</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Luminal B</td><td align="center" valign="top" rowspan="1" colspan="1">27</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;HER2-enriched</td><td align="center" valign="top" rowspan="1" colspan="1">17</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Triple-negative</td><td align="center" valign="top" rowspan="1" colspan="1">25</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Unable to classify</td><td align="center" valign="top" rowspan="1" colspan="1">8</td></tr></tbody></table><table-wrap-foot><fn id="TFN4"><p id="P46">ER=Estrogen receptor; PR=Progesterone receptor; HR+=ER+ or PR+;</p></fn><fn id="TFN5"><p id="P47">Luminal A= HR+/HER2&#x02212;; Luminal B= HR+/HER2+ <italic>or</italic> HR+/HER2&#x02212; /Ki67&#x0003e;15%; HER2-enriched= HR-, HER2+; Triple negative=HR&#x02212;/HER&#x02212; [<xref rid="R21" ref-type="bibr">21</xref>].</p></fn></table-wrap-foot></table-wrap><table-wrap id="T3" position="float" orientation="portrait"><label>Table 3:</label><caption><p id="P48">Hazard Ratios for Mortality among Newly Diagnosed Women with Breast Cancer in Lilongwe, Malawi, 2016&#x02013;2018.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Variable</th><th align="center" valign="middle" rowspan="1" colspan="1">Unadjusted HR [95% CI]</th><th align="center" valign="middle" rowspan="1" colspan="1">p-value</th><th align="center" valign="middle" rowspan="1" colspan="1">Adjusted HR [95% CI]</th><th align="center" valign="middle" rowspan="1" colspan="1">p-value</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="center" valign="middle" rowspan="1" colspan="1">1.00 [0.98&#x02013;1.04]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.520</td><td align="center" valign="middle" rowspan="1" colspan="1">1.00 [0.96&#x02013;1.04]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.850</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">HIV+</td><td align="center" valign="middle" rowspan="1" colspan="1">1.46 [0.61&#x02013;3.48]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.401</td><td align="center" valign="middle" rowspan="1" colspan="1">5.15 [1.58&#x02013;16.76]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.006</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><italic>Stage</italic></td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;II</td><td align="center" valign="middle" rowspan="1" colspan="1">1 (ref)</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">1 (ref)</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;III</td><td align="center" valign="middle" rowspan="1" colspan="1">3.11 [0.40&#x02013;24.47]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.279</td><td align="center" valign="middle" rowspan="1" colspan="1">1.39 [0.16&#x02013;11.79]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.761</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;IV</td><td align="center" valign="middle" rowspan="1" colspan="1">10.89 [1.44&#x02013;82.50]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.021</td><td align="center" valign="middle" rowspan="1" colspan="1">8.86 [1.07&#x02013;73.25]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.043</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1"><italic>Molecular Subtype</italic></td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Luminal A</td><td align="center" valign="middle" rowspan="1" colspan="1">1 (ref)</td><td align="center" valign="middle" rowspan="1" colspan="1"/><td align="center" valign="middle" rowspan="1" colspan="1">1 (ref)</td><td align="center" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Luminal B</td><td align="center" valign="middle" rowspan="1" colspan="1">3.83 [0.78&#x02013;18.78]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.098</td><td align="center" valign="middle" rowspan="1" colspan="1">2.55 [0.47&#x02013;13.70]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.276</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;HER2-enriched</td><td align="center" valign="middle" rowspan="1" colspan="1">10.17 [1.94&#x02013;53.48]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.006</td><td align="center" valign="middle" rowspan="1" colspan="1">7.46 [1.21&#x02013;46.07]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.031</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Triple-negative</td><td align="center" valign="middle" rowspan="1" colspan="1">6.91 [1.42&#x02013;33.61]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.017</td><td align="center" valign="middle" rowspan="1" colspan="1">7.80 [1.39&#x02013;43.69]</td><td align="center" valign="middle" rowspan="1" colspan="1">0.020</td></tr></tbody></table><table-wrap-foot><fn id="TFN6"><p id="P49">The adjusted model includes all variables listed above.</p></fn></table-wrap-foot></table-wrap><table-wrap id="T4" position="float" orientation="portrait"><label>Table 4:</label><caption><p id="P50">Baseline Characteristics by HIV Status among Newly Diagnosed Women with Breast Cancer in Lilongwe, Malawi, 2016&#x02013;2018.</p></caption><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Total (n=99)</th><th align="center" valign="bottom" rowspan="1" colspan="1">HIV-negative (n=80)</th><th align="center" valign="bottom" rowspan="1" colspan="1">HIV-positive (n=19)</th><th align="center" valign="bottom" rowspan="1" colspan="1">p-value</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Age, years</td><td align="center" valign="top" rowspan="1" colspan="1">51 (27&#x02013;65) <sup><xref rid="TFN7" ref-type="table-fn">a</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">48 (21&#x02013;80) <sup><xref rid="TFN7" ref-type="table-fn">a</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">0.79 <sup><xref rid="TFN8" ref-type="table-fn">b</xref></sup></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Stage</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.89 <sup><xref rid="TFN9" ref-type="table-fn">c</xref></sup></td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;I</td><td align="center" valign="top" rowspan="1" colspan="1">0</td><td align="center" valign="top" rowspan="1" colspan="1">0</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;II</td><td align="center" valign="top" rowspan="1" colspan="1">13</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;III</td><td align="center" valign="top" rowspan="1" colspan="1">39</td><td align="center" valign="top" rowspan="1" colspan="1">9</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;IV</td><td align="center" valign="top" rowspan="1" colspan="1">20</td><td align="center" valign="top" rowspan="1" colspan="1">6</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Not recorded</td><td align="center" valign="top" rowspan="1" colspan="1">8</td><td align="center" valign="top" rowspan="1" colspan="1">1</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"><italic>Molecular subtype</italic></td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.51<sup><xref rid="TFN9" ref-type="table-fn">c</xref></sup></td></tr><tr><td colspan="4" align="left" valign="top" rowspan="1"><hr/></td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Luminal A</td><td align="center" valign="top" rowspan="1" colspan="1">18</td><td align="center" valign="top" rowspan="1" colspan="1">5</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Luminal B</td><td align="center" valign="top" rowspan="1" colspan="1">21</td><td align="center" valign="top" rowspan="1" colspan="1">6</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;HER2-enriched</td><td align="center" valign="top" rowspan="1" colspan="1">14</td><td align="center" valign="top" rowspan="1" colspan="1">2</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Triple-negative</td><td align="center" valign="top" rowspan="1" colspan="1">22</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;Unable to classify</td><td align="center" valign="top" rowspan="1" colspan="1">5</td><td align="center" valign="top" rowspan="1" colspan="1">3</td><td align="center" valign="top" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN7"><label>a</label><p id="P51">Median (range)</p></fn><fn id="TFN8"><label>b</label><p id="P52">Mann Whitney test</p></fn><fn id="TFN9"><label>c</label><p id="P53">Chi-square test</p></fn></table-wrap-foot></table-wrap></floats-group></article>