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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0374236</journal-id><journal-id journal-id-type="pubmed-jr-id">2771</journal-id><journal-id journal-id-type="nlm-ta">Cancer</journal-id><journal-id journal-id-type="iso-abbrev">Cancer</journal-id><journal-title-group><journal-title>Cancer</journal-title></journal-title-group><issn pub-type="ppub">0008-543X</issn><issn pub-type="epub">1097-0142</issn></journal-meta><article-meta><article-id pub-id-type="pmid">41128838</article-id><article-id pub-id-type="pmc">12747153</article-id><article-id pub-id-type="doi">10.1002/cncr.70138</article-id><article-id pub-id-type="manuscript">NIHMS2121734</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Understanding the role of neighborhood deprivation in racial disparities in triple negative breast cancer</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Barber</surname><given-names>Lauren E.</given-names></name><degrees>PhD, MSc</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Maliniak</surname><given-names>Maret L.</given-names></name><degrees>PhD, MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Miller-Kleinhenz</surname><given-names>Jasmine M.</given-names></name><degrees>PhD, MS</degrees><xref rid="A2" ref-type="aff">2</xref></contrib><contrib contrib-type="author"><name><surname>Moubadder</surname><given-names>Leah</given-names></name><degrees>PhD, MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>Smith-Graziani</surname><given-names>Demetria</given-names></name><degrees>MD, MPH</degrees><xref rid="A3" ref-type="aff">3</xref></contrib><contrib contrib-type="author"><name><surname>Switchenko</surname><given-names>Jeffrey M.</given-names></name><degrees>PhD, MS</degrees><xref rid="A4" ref-type="aff">4</xref></contrib><contrib contrib-type="author"><name><surname>Ward</surname><given-names>Kevin C.</given-names></name><degrees>PhD, MPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib><contrib contrib-type="author"><name><surname>McCullough</surname><given-names>Lauren E.</given-names></name><degrees>PhD, MSPH</degrees><xref rid="A1" ref-type="aff">1</xref></contrib></contrib-group><aff id="A1"><label>1</label>Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA</aff><aff id="A2"><label>2</label>Department of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA</aff><aff id="A3"><label>3</label>Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA</aff><aff id="A4"><label>4</label>Department of Biostatistics and Bioinformatics, Emory University Rollins School of Public Health, Atlanta, GA, USA</aff><author-notes><corresp id="CR1"><bold>Corresponding author:</bold> Lauren E. Barber, Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, Georgia 30322, <email>Lauren.Barber@emory.edu</email></corresp><fn fn-type="con" id="FN1"><p id="P1">AUTHOR CONTRIBUTIONS</p><p id="P2">Lauren E. Barber: Conceptualization, Methodology, Formal analysis, Visualization, Writing - original draft, Writing - review &#x00026; editing; Maret L. Maliniak: Methodology, Data curation, Visualization, Validation, Writing - review &#x00026; editing; Jasmine M. Miller-Kleinhenz: Conceptualization, Methodology, Writing - review &#x00026; editing; Leah Moubadder: Methodology, Visualization, Writing - review &#x00026; editing; Demetria Smith-Graziani: Writing - review &#x00026; editing; Jeffrey M. Switchenko: Methodology, Writing - review &#x00026; editing; Kevin C. Ward: Resources, Writing - review &#x00026; editing; Lauren E. McCullough: Conceptualization, Funding acquisition, Methodology, Supervision, Visualization, Writing - review &#x00026; editing.</p></fn></author-notes><pub-date pub-type="nihms-submitted"><day>21</day><month>11</month><year>2025</year></pub-date><pub-date pub-type="ppub"><day>01</day><month>11</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>29</day><month>12</month><year>2025</year></pub-date><volume>131</volume><issue>21</issue><fpage>e70138</fpage><lpage>e70138</lpage><abstract id="ABS1"><sec id="S1"><title>Introduction:</title><p id="P3">US Black women are twice as likely to be diagnosed with triple negative breast cancer (TNBC), an aggressive subtype, as White women. Adverse neighborhood characteristics may contribute to the disparity. We examined neighborhood deprivation in relation to TNBC, according to race and rurality.</p></sec><sec id="S2"><title>Methods:</title><p id="P4">We identified 40,095 non-Hispanic Black and White women diagnosed with invasive breast cancer in 2010-2017 in the Georgia Cancer Registry. The Neighborhood Deprivation Index (NDI), a composite measure, was calculated using 2011-2015 block group-level American Community Survey data. County-level rurality was measured via Georgia Department of Public Health data. We estimated multivariable odds ratios (OR) and 95% confidence intervals (CI) for the associations between NDI, in quintiles, and each breast cancer subtype (TNBC, HER2-enriched, luminal B vs. luminal A breast cancer), overall and according to race and rurality.</p></sec><sec id="S3"><title>Results:</title><p id="P5">Compared to least deprived neighborhoods, living in the most deprived neighborhoods was associated with a 33% (OR=1.33, 95% CI 1.19-1.48) increased odds of TNBC vs. luminal A breast cancer. Race and rurality did not modify the association. However, estimates were less pronounced among non-Hispanic Black women (OR=1.18, 95% CI 1.00-1.39 vs. OR=1.40, 95% CI 1.18-1.65 among non-Hispanic White women) and women living in urban counties (OR=1.33, 95% CI 1.18-1.50 vs. OR=1.52, 95% CI 1.15-2.03 in rural counties).</p></sec><sec id="S4"><title>Conclusions:</title><p id="P6">In this study, neighborhood deprivation was associated with increased odds of TNBC, regardless of race or rurality. Given Black women are more likely to live in deprived neighborhoods, neighborhood deprivation may contribute to racial disparities in TNBC occurrence.</p></sec></abstract><abstract id="ABS2" abstract-type="summary"><title>Pr&#x000e9;cis:</title><p id="P7">Among a population of non-Hispanic Black and non-Hispanic White breast cancer patients, neighborhood deprivation was associated with increased odds of triple negative breast cancer, regardless of race or rurality. These findings suggest that neighborhood deprivation may contribute to racial disparities in triple negative breast cancer occurrence, given that Black women are more likely to live in deprived neighborhoods.</p></abstract><kwd-group><kwd>Neighborhood deprivation</kwd><kwd>Breast cancer subtype</kwd><kwd>Triple negative breast cancer</kwd><kwd>Racial disparities</kwd><kwd>Rurality</kwd></kwd-group></article-meta></front><body><sec id="S5"><title>INTRODUCTION</title><p id="P8">Among US women, breast cancer is the leading cancer diagnosis, with 1 in 8 women expected to receive a breast cancer diagnosis in their lifetime.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Approximately 15-20% of all breast cancers are classified as triple negative breast cancer (TNBC).<sup><xref rid="R2" ref-type="bibr">2</xref></sup> Breast tumors with this classification are called triple negative because they do not express any of the three receptors (estrogen, progesterone, or human epidermal growth factor receptor 2) used to determine molecular subtypes. Although not the most prevalent subtype, TNBC is among the most aggressive. Compared to other breast cancer subtypes, women with TNBC are more likely to be diagnosed at later stages and die from the disease due to few treatment options.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Incidence of TNBC is not distributed equally by race. Rather, TNBC incidence is 2-3 times higher among Black women compared to other racial and ethnic groups.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> Higher TNBC incidence among Black women contributes, in part, to observed racial disparities in breast cancer mortality, where Black women are 38% more likely than White women to die from the disease.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> With poor tumor characteristics, limited treatment options, and reduced survival, it is necessary to understand disease development so that TNBC can be prevented, particularly in vulnerable populations, including Black women.</p><p id="P9">Understanding the context within which individuals live is important for elucidating disease occurrence and may be relevant to TNBC development. Because individuals spend extended time in their residential communities, the neighborhood environment has been investigated as an influential contextual factor that may impact health and well-being.<sup><xref rid="R3" ref-type="bibr">3</xref></sup> The socioeconomic neighborhood environment, often captured through neighborhood deprivation or socioeconomic status (SES) indices, is one of the most studied aspects of the neighborhood environment. Living in a deprived neighborhood can profoundly shape health by influencing socioeconomic opportunities and mobility, access to educational and healthcare resources, and the ability to practice healthy behaviors,<sup><xref rid="R3" ref-type="bibr">3</xref>,<xref rid="R4" ref-type="bibr">4</xref></sup> all of which may play a role in breast cancer development. Research on neighborhoods demonstrates that the distribution of adverse neighborhood attributes is socially patterned, such that racially minoritized individuals are more likely to live in deprived neighborhoods.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> The co-location of race and neighborhood deprivation suggests that neighborhoods may contribute to racial disparities in health.<sup><xref rid="R5" ref-type="bibr">5</xref></sup> In fact, poor neighborhood environments are hypothesized to contribute to observed racial disparities in breast cancer, particularly disparities in the distribution of TNBC by race.<sup><xref rid="R1" ref-type="bibr">1</xref></sup> However, how neighborhood deprivation operates and its impact on health, specifically breast cancer, may vary by geographic characteristics, such as rurality.<sup><xref rid="R6" ref-type="bibr">6</xref></sup> Urban and rural environments may have unique attributes or challenges (e.g., accessibility, isolation) that interact with neighborhood deprivation.<sup><xref rid="R7" ref-type="bibr">7</xref></sup> Investigation of neighborhood deprivation and TNBC in the context of race and rurality could provide a more complete understanding of TNBC development and racial disparities.</p><p id="P10">Prior literature on the relationship between neighborhood deprivation indices and TNBC suggests that living in a deprived environment may be associated with an increased occurrence of TNBC.<sup><xref rid="R8" ref-type="bibr">8</xref>-<xref rid="R12" ref-type="bibr">12</xref></sup> However, there is inconsistency in the literature, with some studies reporting no association between neighborhood deprivation and TNBC.<sup><xref rid="R13" ref-type="bibr">13</xref>-<xref rid="R15" ref-type="bibr">15</xref></sup> Few studies have reported on the neighborhood deprivation-TNBC association among Black women,<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R12" ref-type="bibr">12</xref>,<xref rid="R13" ref-type="bibr">13</xref></sup> who are more likely to live in deprived neighborhoods.<sup><xref rid="R16" ref-type="bibr">16</xref></sup> Among these studies, non-significant positive and null associations have been observed.<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R12" ref-type="bibr">12</xref>,<xref rid="R13" ref-type="bibr">13</xref></sup> Furthermore, to our knowledge, no study has considered the relationship between neighborhood deprivation and TNBC in the context of rurality. Thus, the objective of this study was to build on prior research by further disentangling the complex relationships between race, place, and TNBC. To do this, we examined the associations between neighborhood deprivation and TNBC, as well as other breast cancer subtypes, according to race, rurality, and their intersection.</p></sec><sec id="S6"><title>MATERIALS &#x00026; METHODS</title><sec id="S7"><title>Study population</title><p id="P11">The study population consisted of non-Hispanic Black (NHB) and non-Hispanic White (NHW) women living in Georgia and identified by the Georgia Cancer Registry (GCR) as having received a first primary breast cancer diagnosis between 2010 and 2017 (N=53,264). Women were excluded from this analysis if they were younger than age 18 years (n=3), had in situ breast cancer (n=9,751), or were missing data on breast cancer hormone receptor status (n=3,376) or neighborhood deprivation (n=39). After exclusions, 40,095 women remained in the sample for analysis.</p></sec><sec id="S8"><title>Exposure</title><p id="P12">The exposure of interest was neighborhood deprivation, measured via the Neighborhood Deprivation Index (NDI) developed by Messer and colleagues.<sup><xref rid="R17" ref-type="bibr">17</xref></sup> NDI methodology has been described elsewhere.<sup><xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R18" ref-type="bibr">18</xref></sup> In brief, the NDI is a composite measure created to encapsulate the multidimensional characteristics or domains of the socioeconomic neighborhood environment, including poverty, income, housing, occupation, employment, and education.<sup><xref rid="R17" ref-type="bibr">17</xref></sup> The NDI comprises eight indicators that have been consistently used in previous literature to capture area-level socioeconomic conditions and structures present in neighborhoods and have been shown to summarize the neighborhood deprivation construct.<sup><xref rid="R17" ref-type="bibr">17</xref></sup> We derived an NDI value for each block group in Georgia using principal components analysis of block group-level 2011-2015 American Community Survey data on the eight NDI indicators: percentage of individuals below the poverty line, percentage of households receiving public assistance, percentage of female-headed households with children age &#x0003c;18 years, percentage of households with income &#x0003c;$35,000, percentage of unemployed individuals, percentage of individuals employed in managerial/administrative jobs, percentage of households with &#x0003e;1 person/room, and percentage of individuals aged &#x02265;25 years without a high school degree or General Educational Development credentials. Block group was used as the geographic unit, as we considered it to be the best approximation of a neighborhood. Following principal components analysis, we utilized the loading values from the first principal component (44.7% of variance explained by first principal component) to weight each indicator. Weighted indicators were then summed to create an NDI score, which was categorized into quintiles based on the distribution in the entire state of GA. The highest quintile represented the most deprived neighborhoods. We linked NDI values to patient data using the block group corresponding to the patients&#x02019; addresses at diagnosis. The GCR routinely geocodes address data using methods that are consistent across population-based cancer registries in the US.</p></sec><sec id="S9"><title>Outcomes</title><p id="P13">For each identified breast cancer diagnosis, the GCR collects data on three biomarkers: estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER2). In the present analysis, data on all three biomarkers were used to determine hormone receptor status and categorize women according to breast cancer subtype. Patients were classified as having TNBC if their tumors did not express any of the three receptors (ER&#x02212;, PR&#x02212;, HER2&#x02212;). If patients had tumors that expressed HER2 but not ER or PR, they were classified as having HER2-enriched breast cancer (ER&#x02212;, PR&#x02212;, HER2+). Patients with ER+ or PR+ and HER2+ tumors were classified as having luminal B breast cancer, while those with ER+, PR+, and HER2&#x02212; tumors were classified as having luminal A breast cancer. Luminal A breast cancer was utilized as the reference group to which each breast cancer outcome (TNBC, HER2-enriched, and luminal B breast cancer) was compared due to both the higher prevalence and favorable prognosis.</p></sec><sec id="S10"><title>Statistical analysis</title><p id="P14">Descriptive statistics for the study population were calculated overall and according to quintiles of NDI for each covariate. Logistic regression was used to estimate age- and multivariable-adjusted odds ratios (OR) and 95% confidence intervals (CI) for the separate associations between NDI and TNBC, HER2-enriched, or luminal B versus luminal A breast cancer. Directed acyclic graphs<sup><xref rid="R19" ref-type="bibr">19</xref></sup> were used to identify covariates for inclusion in regression models. Age at diagnosis (continuous), race (NHB, NHW), marital status (single, married or living together, divorced or separated, widowed, and unknown), and rurality (urban counties, rural counties) were ultimately identified and controlled for in multivariable models. All covariate data were obtained from the GCR and represent a cross-sectional view of patient and disease characteristics around the time of breast cancer diagnosis. Rurality was defined at the county level using definitions from the Georgia Department of Public Health. Counties with population sizes less than 50,000 on the 2010 decennial US Census were classified as rural.</p><p id="P15">Because there are known racial disparities in breast cancer and neighborhood deprivation may manifest differently in urban or rural areas,<sup><xref rid="R1" ref-type="bibr">1</xref>,<xref rid="R7" ref-type="bibr">7</xref></sup> we conducted two stratified analyses. In the first analysis, we stratified the neighborhood deprivation-breast cancer subtype associations by race (NHB, NHW). In the second, rurality (urban counties, rural counties) was examined as an effect measure modifier. Additionally, we conducted a third analysis where we assessed the associations between neighborhood deprivation and breast cancer subtype according to the joint effects of race and rurality. We performed this analysis to further examine the complex relationships between place, race, and breast cancer subtype, as the racial distribution of the population may vary by rurality. For each stratified analysis, we assessed multiplicative interaction using likelihood ratio tests (p-interaction &#x0003c;0.05 significance level, 2-sided). We performed a sensitivity analysis excluding patients with unknown covariate data (n=1,782) to assess the potential for residual confounding. Results were nearly identical to those from the primary analysis and, thus, are not presented. Analyses were performed using SAS statistical software version 9.4 (SAS Institute). This study was reviewed and approved by both the Emory University and Georgia Department of Public Health IRBs.</p></sec></sec><sec id="S11"><title>RESULTS</title><p id="P16">Overall, the average age of patients at diagnosis was 60.2 (standard deviation=13.2) years, 31.5% were NHB, and 23.8% lived in a rural county (<xref rid="T1" ref-type="table">Table 1</xref>). Of the 40,095 women in the study population, 5,328 (13.3%) were diagnosed with TNBC, 1,926 (4.8%) with HER2-enriched, 4,958 (12.4%) with luminal B, and 27,883 (69.5%) with luminal A breast cancer. Women living in the most deprived neighborhoods (Q5) were more likely to be NHB, single, have Medicaid insurance, have stage III or IV breast cancer, and live in persistent poverty compared to those living in the least deprived neighborhoods (Q1). Patient characteristics at diagnosis according to NDI and race are shown in <xref rid="SD1" ref-type="supplementary-material">Supplemental Table 1</xref>.</p><sec id="S12"><title>TNBC</title><p id="P17">Among all women combined, we observed a positive association between NDI and TNBC. In age-adjusted models, compared to living in the least deprived neighborhoods, living in the most deprived neighborhoods was associated with a 2.15-fold (95% CI 1.95-2.37) increase in the odds of TNBC versus luminal A breast cancer (<xref rid="T2" ref-type="table">Table 2</xref>). Additionally adjusting for race, marital status, and rurality, attenuated the association to a 33% increase in the odds of TNBC (OR=1.33, 95% CI 1.19-1.48).</p></sec><sec id="S13"><title>HER2-enriched</title><p id="P18">NDI was associated with an increased odds of HER2-enriched breast cancer in age- and multivariable-adjusted models. For example, in age-adjusted models, women living in the most deprived neighborhoods had a 58% (OR=1.58, 95% CI 1.36-1.85) higher odds of HER2-enriched compared to luminal A breast cancer. After adjustment for covariates, NDI was associated with a 19% (OR=1.19, 95% CI 1.00-1.40) increase in the odds of HER2-enriched breast cancer.</p></sec><sec id="S14"><title>Luminal B</title><p id="P19">Women who lived in the most compared to the least deprived neighborhoods had a 21% (OR=1.21, 95% CI 1.09-1.34) increased odds of luminal B versus luminal A breast cancer in age-adjusted regression models. However, the association was attenuated after controlling for covariates (OR=1.08, 95% CI 0.96-1.21).</p></sec><sec id="S15"><title>Race-stratified analyses</title><p id="P20">Among NHB women, neighborhood deprivation was associated with a 26% (age-adjusted OR=1.26, 95% CI 1.07-1.48) increase in TNBC relative to luminal A breast cancer (<xref rid="T3" ref-type="table">Table 3</xref>). The association was attenuated but persisted after multivariable adjustment (MV-adjusted OR=1.18, 95% CI 1.00-1.39). A similar, although more pronounced association was observed between neighborhood deprivation and TNBC among NHW women (MV-adjusted OR=1.40, 95% CI 1.18-1.65). With respect to HER2-enriched breast cancer, NDI was associated with an increased odds of HER2-enriched versus luminal A breast cancer only among NHW patients (MV-adjusted OR=1.29, 95% CI 1.00-1.66). No association was observed with luminal B breast cancer among NHB or NHW women.</p></sec><sec id="S16"><title>Rurality-stratified analyses</title><p id="P21">Neighborhood deprivation was associated with each breast cancer subtype among women living in urban counties. For example, among women from urban counties, those living in the most compared to the least deprived neighborhoods had an estimated 33% (MV-adjusted OR=1.33, 95% CI 1.18-1.50), 25% (MV-adjusted OR=1.25, 95% CI 1.04-1.52), and 14% (MV-adjusted OR=1.14, 95% CI 1.00-1.29) increased odds of TNBC, HER2-enriched, and luminal B versus luminal A breast cancer, respectively (<xref rid="T4" ref-type="table">Table 4</xref>). In contrast, among women living in rural counties, neighborhood deprivation was only associated with an increased odds of TNBC as compared with luminal A breast cancer (MV-adjusted OR=1.52, 95% CI 1.15-2.03).</p></sec><sec id="S17"><title>Race and rurality-stratified analyses</title><p id="P22">In analyses jointly stratified by race and rurality, neighborhood deprivation was associated with an elevated odds of TNBC relative to luminal A breast cancer among both NHB and NHW women regardless of rurality. ORs ranged from 1.17 to 1.50 (<xref rid="SD1" ref-type="supplementary-material">Supplemental Table 2</xref>). Both the neighborhood deprivation-HER2-enriched and the neighborhood deprivation-luminal B breast cancer associations were confined to NHW women living in urban counties (HER2-enriched: Q5 vs. Q1 MV-adjusted OR=1.39, 95% CI 1.02-1.90; luminal B: Q5 vs. Q1 MV-adjusted OR=1.21, 95% CI 0.99-1.48).</p></sec></sec><sec id="S18"><title>DISCUSSION</title><p id="P23">In this study of NHB and NHW breast cancer patients in Georgia, we found that living in neighborhoods with the highest versus lowest deprivation index was associated with a 33% increased odds of TNBC versus luminal A breast cancer. This association was observed among NHB and NHW women; however, the association was weaker among NHB women. The neighborhood deprivation-TNBC association was present among women living in urban and rural counties, suggesting no effect measure modification by rurality. Nevertheless, we observed a weaker association among patients from urban settings. In addition to TNBC, neighborhood deprivation was also associated with increased odds of HER2-enriched versus luminal A breast cancer, which was confined to NHW women living in urban counties. A neighborhood deprivation-luminal B breast cancer association was observed only in rurality-stratified analyses, with women, especially NHW women, residing in urban counties exhibiting elevated odds of the disease relative to luminal A breast cancer. Observed findings from this study indicate that neighborhood deprivation may be relevant to the development of aggressive forms of breast cancer.</p><p id="P24">Results from the present analysis align with several studies that have examined the impact of adverse neighborhood attributes on breast cancer subtypes. For example, among prior studies that measured neighborhood deprivation via a multidimensional index similar to that used in the current analysis, most,<sup><xref rid="R8" ref-type="bibr">8</xref>-<xref rid="R12" ref-type="bibr">12</xref></sup> but not all,<sup><xref rid="R13" ref-type="bibr">13</xref>-<xref rid="R15" ref-type="bibr">15</xref></sup> reported neighborhood deprivation to be associated with a 12%-95% increase in the occurrence of TNBC. The magnitude of association observed in the present analysis is consistent with previously reported estimates. Prior studies assessing ER&#x02212; breast cancer, which includes TNBC cases, also demonstrate positive associations between neighborhood deprivation and the development of aggressive breast cancer.<sup><xref rid="R20" ref-type="bibr">20</xref>-<xref rid="R22" ref-type="bibr">22</xref></sup> Moreover, other neighborhood characteristics, which likely correlate with neighborhood deprivation indices (e.g., median household income, index of concentration at the extremes), have been associated with TNBC occurrence,<sup><xref rid="R23" ref-type="bibr">23</xref>-<xref rid="R28" ref-type="bibr">28</xref></sup> suggesting a role of adverse neighborhood attributes in TNBC development. Consistent with our results, prior research also indicates that exposure to deprived neighborhoods may be associated with the HER2-enriched subtype, with most,<sup><xref rid="R9" ref-type="bibr">9</xref>-<xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R25" ref-type="bibr">25</xref></sup> although not all,<sup><xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup> studies reporting positive associations. Fewer studies have examined neighborhood deprivation relative to luminal B breast cancer. These studies show inconsistent data, as positive<sup><xref rid="R11" ref-type="bibr">11</xref>,<xref rid="R13" ref-type="bibr">13</xref>,<xref rid="R25" ref-type="bibr">25</xref></sup> and null associations<sup><xref rid="R9" ref-type="bibr">9</xref>,<xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup> have been reported. Thus, more research is necessary. Together, results from the present analysis and previous studies suggest that the neighborhood environment may be a useful intervention target to reduce the occurrence of aggressive breast cancer subtypes.</p><p id="P25">We found neighborhood deprivation was associated with greater odds of TNBC relative to luminal A breast cancer regardless of race. This finding, which aligns with two previous studies investigating median household income and TNBC,<sup><xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R28" ref-type="bibr">28</xref></sup> indicates that aspects of a deprived neighborhood may be harmful for both NHB and NHW women. However, the slightly stronger association among NHW women suggests that the neighborhood environment may be a larger contributor to TNBC development among this racial group as compared with NHB women. The diminishing returns hypothesis could explain the weaker association among NHB women,<sup><xref rid="R29" ref-type="bibr">29</xref></sup> as well as the observed null association between neighborhood deprivation and HER2-enriched breast cancer among NHB women. Based on the diminishing returns hypothesis, living in an affluent neighborhood may not afford Black women the same benefits and resources as it does White women, leading to a smaller social gradient or differential between Black women in the most versus the least deprived neighborhoods.<sup><xref rid="R29" ref-type="bibr">29</xref></sup> In one study examining median household income and TNBC, a more pronounced association was found among NHB compared to NHW women.<sup><xref rid="R28" ref-type="bibr">28</xref></sup> A second study reported similar effect estimates among both racial groups.<sup><xref rid="R26" ref-type="bibr">26</xref></sup> Further research is needed to understand the impact of neighborhood deprivation on TNBC by race. Nonetheless, the positive neighborhood deprivation-TNBC association observed among Black women in the present and previous studies,<sup><xref rid="R10" ref-type="bibr">10</xref>,<xref rid="R12" ref-type="bibr">12</xref>,<xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R28" ref-type="bibr">28</xref></sup> coupled with the fact that Black women are more likely to live in deprived neighborhoods, indicates that neighborhood deprivation may contribute to racial disparities in TNBC.</p><p id="P26">Because neighborhood deprivation may manifest differently in urban versus rural areas,<sup><xref rid="R7" ref-type="bibr">7</xref></sup> we assessed the neighborhood deprivation-breast cancer subtype associations according to rurality. Stratified analyses revealed no effect measure modification for TNBC-specific results which may suggest that the negative influence of neighborhood deprivation on TNBC operates similarly in urban and rural environments. In contrast, associations for HER2-enriched and Luminal B breast cancer were only observed among women, particularly NHW women, living in urban counties. To our knowledge, no previous study has evaluated the neighborhood deprivation-breast cancer subtype associations by rurality. Future research should conduct rurality-specific analyses to confirm our findings.</p><p id="P27">The neighborhood environment could influence the development of breast cancer, and TNBC in particular, through multiple mechanisms. From a behavioral perspective, neighborhood deprivation could limit residents&#x02019; ability to practice healthy behaviors. For example, individuals living in deprived neighborhoods have limited access to high-quality education, high-paying jobs, healthy food stores, and green spaces, and fewer opportunities for physical activity, which could increase the risk of obesity.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> Some studies have reported associations between unhealthy diets and TNBC or ER&#x02212; breast cancer,<sup><xref rid="R30" ref-type="bibr">30</xref>,<xref rid="R31" ref-type="bibr">31</xref></sup> and evidence linking obesity to aggressive breast tumor biology is accumulating.<sup><xref rid="R32" ref-type="bibr">32</xref></sup> Collectively, these unfavorable conditions can hinder individuals&#x02019; ability to acquire the knowledge, resources, and nutrition necessary to build, practice, and maintain a healthy lifestyle, which could, in turn, impact breast cancer development. From a biological perspective, exposure to neighborhood deprivation could lead to cellular and molecular changes that may be relevant to TNBC development.<sup><xref rid="R33" ref-type="bibr">33</xref></sup> For instance, in addition to the unfavorable neighborhood conditions described above, deprived neighborhoods also tend to have more crime activity and greater social disorder.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> As a result, residents may feel unsafe, have less social control, and have reduced ability to create social ties with their neighbors.<sup><xref rid="R4" ref-type="bibr">4</xref></sup> Long-term exposure to adverse neighborhood social conditions could lead to chronic psychosocial stress and overactivation of the sympathetic nervous system and hypothalamic pituitary adrenal axis, the fight or flight response.<sup><xref rid="R4" ref-type="bibr">4</xref>,<xref rid="R33" ref-type="bibr">33</xref></sup> Hormones released during the stress response can suppress the immune system and increase inflammation, creating an environment conducive for breast cancer development. Inflammatory pathways are likely implicated in the development of all breast cancers,<sup><xref rid="R34" ref-type="bibr">34</xref></sup> but they may be more relevant for TNBC since the greatest mechanistic component for hormone receptor-positive tumors are hormonal pathways and more inflammatory activity has been observed in TNBC compared to non-TNBC subtypes.<sup><xref rid="R35" ref-type="bibr">35</xref></sup> In addition, neighborhood deprivation and adverse neighborhood characteristics have been associated with increased methylation of genes related to inflammatory and stress pathways.<sup><xref rid="R36" ref-type="bibr">36</xref>,<xref rid="R37" ref-type="bibr">37</xref></sup> These DNA methylation patterns may be particularly relevant for aggressive forms of breast cancer.<sup><xref rid="R37" ref-type="bibr">37</xref></sup> Thus, the neighborhood environment could influence the development of breast cancer subtypes through multiple biological and behavioral pathways.</p><p id="P28">Given these biological and behavioral pathways, neighborhoods may be a viable intervention target to reduce breast cancer development, particularly development of aggressive subtypes. Neighborhoods are complex and multifaceted, as reflected in our multidimensional NDI composite measure. Therefore, intervention strategies that incorporate a multipronged approach to address multiple neighborhood domains may be necessary to produce the greatest impact and counteract the harmful influence of neighborhood deprivation. Furthermore, neighborhood reinvestment or revitalization strategies that seek to improve neighborhood schools and educational support services, attract quality businesses, which can bring new job opportunities, income, and resources to residents, improve housing conditions, enhance the built environment, and reduce crime could positively impact the socioeconomic landscape of the neighborhood environment. This, in turn, could improve residents&#x02019; overall health and potentially reduce the risk of developing aggressive breast cancer subtypes. A longitudinal study of neighborhood reinvestment demonstrated that neighborhood improvements were associated with reduced food insecurity, lower stress, and increased neighborhood safety and satisfaction.<sup><xref rid="R38" ref-type="bibr">38</xref></sup> As noted above, some of these outcomes represent mechanisms through which neighborhood deprivation may influence breast cancer subtypes; thus, providing further support for leveraging the neighborhood environment as a potential intervention target.</p><p id="P29">While there are strengths of the present analysis, including its large sample size, comprehensive multidimensional measurement of neighborhood deprivation, and examination of race and rurality as effect modifiers, there are also limitations that warrant discussion. The current analysis has a cross-sectional study design, as neighborhood deprivation and hormone receptor status were measured at diagnosis. The cross-sectional nature limits our ability to make inferences regarding disease etiology. We did not have data on patients&#x02019; residential histories or housing tenure. Therefore, we were unable to assess exposure status at time points prior to diagnosis. Our single measurement of neighborhood deprivation may not reflect patients&#x02019; exposure during critical time windows for cancer development or capture cumulative exposure. However, research on residential history and mobility shows that women tend to live in and move to similar neighborhood environments throughout their lifetime.<sup><xref rid="R39" ref-type="bibr">39</xref></sup> In this analysis, we derived a multidimensional measure of neighborhood deprivation to summarize various aspects of the socioeconomic neighborhood environment. However, neighborhoods can be characterized by more than just socioeconomic conditions. For example, the food, retail, built, social, and physical environments within a neighborhood can influence residents&#x02019; behaviors, access to resources and healthcare, and stress, all of which may play a role in the development of different breast cancer subtypes. While we did not include these other neighborhood conditions, they correlate with neighborhood deprivation. Hormone receptor status, which was based on ER, PR, and HER2 biomarker data collected by the GCR, was used to define breast cancer subtypes in this study. In addition to hormone receptor status, other information, such as data on Ki67&#x02014;a marker of tumor cell proliferation&#x02014;is also necessary to accurately classify breast cancers into disease subtypes.<sup><xref rid="R40" ref-type="bibr">40</xref></sup> Ki67 data was not available. Thus, we could not confirm breast cancer subtypes. Unmeasured confounding may exist, as we did not have data on individual-level characteristics or breast cancer risk factors, such as individual-level SES and reproductive factors. Nevertheless, previous studies have observed associations between neighborhood deprivation and TNBC, even after adjusting for individual-level factors.<sup><xref rid="R10" ref-type="bibr">10</xref>-<xref rid="R12" ref-type="bibr">12</xref></sup> Lastly, the present study was conducted among NHB and NHW breast cancer patients residing in Georgia. The generalizability of our findings to other racial and ethnic groups and geographic areas may, therefore, be limited. However, similar associations have been reported among Hispanic populations<sup><xref rid="R9" ref-type="bibr">9</xref></sup> and individuals living outside of Georgia.<sup><xref rid="R8" ref-type="bibr">8</xref>-<xref rid="R11" ref-type="bibr">11</xref></sup></p></sec><sec id="S19"><title>CONCLUSION</title><p id="P30">In this study of neighborhood deprivation and breast cancer subtypes among NHB and NHW women, living in a deprived neighborhood was associated with increased odds of TNBC, regardless of race and rurality, and HER2-enriched breast cancer among NHW women and women residing in urban counties. Findings from this study support the role of adverse neighborhood characteristics in the occurrence of aggressive breast cancer subtypes. Moreover, the observed neighborhood deprivation-TNBC association among NHB women suggests that neighborhood deprivation may contribute to racial disparities in TNBC, given that Black women are more likely than White women to live in deprived neighborhoods.<sup><xref rid="R16" ref-type="bibr">16</xref></sup> Based on these findings, neighborhood-level interventions may help reduce breast cancer occurrence and mitigate racial disparities in TNBC.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Supplemental Materials</label><media xlink:href="NIHMS2121734-supplement-Supplemental_Materials.docx" id="d67e582" position="anchor"/></supplementary-material></sec></body><back><ack id="S21"><title>ACKNOWLEDGEMENTS</title><p id="P32">This manuscript is the result of funding in whole or in part by the National Institutes of Health (NIH). It is subject to the NIH Public Access Policy. Through acceptance of this federal funding, NIH has been given the right to make this manuscript publicly available in PubMed Central upon the Official Date of Publication, as defined by NIH.</p><sec id="S22"><title>Funding Statement:</title><p id="P33">This work was supported by the National Institutes of Health&#x02019;s National Cancer Institute (R01CA259192 to L.E.M., R01CA259192-S1 to L.E.B., R00CA267674 to J.M.M.K). The collection of cancer incidence data in Georgia was supported by contract HHSN261201800003I, Task Order HHSN26100001 from the NCI and cooperative agreement 6NU58DP006352-05-01 from the CDC.</p></sec></ack><fn-group><fn fn-type="COI-statement" id="FN2"><p id="P34"><bold>Conflict of Interest:</bold> The authors declare no potential conflicts of interest.</p></fn></fn-group><sec sec-type="data-availability" id="S20"><title>Data Availability Statement:</title><p id="P31">The datasets generated during and/or analyzed during the current study are not publicly available due to IRB protocol but are available from the corresponding author on reasonable request to the study PI (<email>lauren.mccullough@emory.edu</email>).</p></sec><ref-list><title>REFERENCES</title><ref id="R1"><label>1.</label><mixed-citation publication-type="journal"><name><surname>Giaquinto</surname><given-names>AN</given-names></name>, <name><surname>Sung</surname><given-names>H</given-names></name>, <name><surname>Newman</surname><given-names>LA</given-names></name>, <name><surname>Freedman</surname><given-names>RA</given-names></name>, <name><surname>Smith</surname><given-names>RA</given-names></name>, <name><surname>Star</surname><given-names>J</given-names></name>, <etal/>
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<hr/>
</th><th colspan="5" align="center" valign="bottom" rowspan="1">
<hr/>
</th></tr><tr><th align="center" valign="bottom" rowspan="1" colspan="1">N=40,095</th><th align="center" valign="bottom" rowspan="1" colspan="1">Quintile 1<break/> (Least<break/> deprived)<break/> n=10,787</th><th align="center" valign="bottom" rowspan="1" colspan="1">Quintile 2<break/> n=9,470</th><th align="center" valign="bottom" rowspan="1" colspan="1">Quintile 3<break/> n=8,002</th><th align="center" valign="bottom" rowspan="1" colspan="1">Quintile 4<break/> n=6,748</th><th align="center" valign="bottom" rowspan="1" colspan="1">Quintile 5<break/> (Most<break/> deprived)<break/> n=5,088</th></tr><tr><th align="center" valign="bottom" rowspan="1" colspan="1">
<hr/>
</th><th align="center" valign="bottom" rowspan="1" colspan="1">
<hr/>
</th><th colspan="5" align="center" valign="bottom" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><th align="left" valign="top" rowspan="1" colspan="1">Patient characteristics</th><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;Age at diagnosis, mean (SD)</td><td align="center" valign="top" rowspan="1" colspan="1">60.2 (13.2)</td><td align="center" valign="top" rowspan="1" colspan="1">59.7 (13.1)</td><td align="center" valign="top" rowspan="1" colspan="1">59.9 (13.1)</td><td align="center" valign="top" rowspan="1" colspan="1">60.7 (13.3)</td><td align="center" valign="top" rowspan="1" colspan="1">60.3 (13.4)</td><td align="center" valign="top" rowspan="1" colspan="1">60.8 (13.3)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;Race</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"/><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"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Non-Hispanic White, %</td><td align="center" valign="top" rowspan="1" colspan="1">68.5</td><td align="center" valign="top" rowspan="1" colspan="1">86.6</td><td align="center" valign="top" rowspan="1" colspan="1">73.8</td><td align="center" valign="top" rowspan="1" colspan="1">67.7</td><td align="center" valign="top" rowspan="1" colspan="1">56.8</td><td align="center" valign="top" rowspan="1" colspan="1">36.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Non-Hispanic Black, %</td><td align="center" valign="top" rowspan="1" colspan="1">31.5</td><td align="center" valign="top" rowspan="1" colspan="1">13.4</td><td align="center" valign="top" rowspan="1" colspan="1">26.2</td><td align="center" valign="top" rowspan="1" colspan="1">32.3</td><td align="center" valign="top" rowspan="1" colspan="1">43.2</td><td align="center" valign="top" rowspan="1" colspan="1">63.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;Marital status</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"/><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"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Single, %</td><td align="center" valign="top" rowspan="1" colspan="1">14.5</td><td align="center" valign="top" rowspan="1" colspan="1">10.0</td><td align="center" valign="top" rowspan="1" colspan="1">12.3</td><td align="center" valign="top" rowspan="1" colspan="1">14.4</td><td align="center" valign="top" rowspan="1" colspan="1">17.2</td><td align="center" valign="top" rowspan="1" colspan="1">24.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Married/domestic partner, %</td><td align="center" valign="top" rowspan="1" colspan="1">53.2</td><td align="center" valign="top" rowspan="1" colspan="1">65.9</td><td align="center" valign="top" rowspan="1" colspan="1">57.1</td><td align="center" valign="top" rowspan="1" colspan="1">50.2</td><td align="center" valign="top" rowspan="1" colspan="1">45.1</td><td align="center" valign="top" rowspan="1" colspan="1">34.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Divorced/separated, %</td><td align="center" valign="top" rowspan="1" colspan="1">13.7</td><td align="center" valign="top" rowspan="1" colspan="1">10.4</td><td align="center" valign="top" rowspan="1" colspan="1">12.8</td><td align="center" valign="top" rowspan="1" colspan="1">14.2</td><td align="center" valign="top" rowspan="1" colspan="1">16.1</td><td align="center" valign="top" rowspan="1" colspan="1">18.2</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Widowed, %</td><td align="center" valign="top" rowspan="1" colspan="1">14.2</td><td align="center" valign="top" rowspan="1" colspan="1">10.7</td><td align="center" valign="top" rowspan="1" colspan="1">13.4</td><td align="center" valign="top" rowspan="1" colspan="1">16.1</td><td align="center" valign="top" rowspan="1" colspan="1">16.3</td><td align="center" valign="top" rowspan="1" colspan="1">17.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Unknown, %</td><td align="center" valign="top" rowspan="1" colspan="1">4.4</td><td align="center" valign="top" rowspan="1" colspan="1">2.9</td><td align="center" valign="top" rowspan="1" colspan="1">4.5</td><td align="center" valign="top" rowspan="1" colspan="1">5.0</td><td align="center" valign="top" rowspan="1" colspan="1">5.3</td><td align="center" valign="top" rowspan="1" colspan="1">5.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;Insurance type</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"/><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"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Uninsured, %</td><td align="center" valign="top" rowspan="1" colspan="1">2.1</td><td align="center" valign="top" rowspan="1" colspan="1">1.2</td><td align="center" valign="top" rowspan="1" colspan="1">2.0</td><td align="center" valign="top" rowspan="1" colspan="1">2.2</td><td align="center" valign="top" rowspan="1" colspan="1">2.4</td><td align="center" valign="top" rowspan="1" colspan="1">3.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Private, %</td><td align="center" valign="top" rowspan="1" colspan="1">49.9</td><td align="center" valign="top" rowspan="1" colspan="1">59.7</td><td align="center" valign="top" rowspan="1" colspan="1">52.7</td><td align="center" valign="top" rowspan="1" colspan="1">46.4</td><td align="center" valign="top" rowspan="1" colspan="1">44.4</td><td align="center" valign="top" rowspan="1" colspan="1">36.6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Medicaid, %</td><td align="center" valign="top" rowspan="1" colspan="1">7.8</td><td align="center" valign="top" rowspan="1" colspan="1">3.1</td><td align="center" valign="top" rowspan="1" colspan="1">5.9</td><td align="center" valign="top" rowspan="1" colspan="1">8.5</td><td align="center" valign="top" rowspan="1" colspan="1">11.3</td><td align="center" valign="top" rowspan="1" colspan="1">16.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Medicare, %</td><td align="center" valign="top" rowspan="1" colspan="1">36.5</td><td align="center" valign="top" rowspan="1" colspan="1">32.8</td><td align="center" valign="top" rowspan="1" colspan="1">35.0</td><td align="center" valign="top" rowspan="1" colspan="1">38.8</td><td align="center" valign="top" rowspan="1" colspan="1">38.5</td><td align="center" valign="top" rowspan="1" colspan="1">40.9</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Military, %</td><td align="center" valign="top" rowspan="1" colspan="1">2.1</td><td align="center" valign="top" rowspan="1" colspan="1">2.0</td><td align="center" valign="top" rowspan="1" colspan="1">2.6</td><td align="center" valign="top" rowspan="1" colspan="1">2.3</td><td align="center" valign="top" rowspan="1" colspan="1">1.8</td><td align="center" valign="top" rowspan="1" colspan="1">1.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Other/unknown</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td><td align="center" valign="top" rowspan="1" colspan="1">1.3</td><td align="center" valign="top" rowspan="1" colspan="1">1.8</td><td align="center" valign="top" rowspan="1" colspan="1">1.8</td><td align="center" valign="top" rowspan="1" colspan="1">1.7</td><td align="center" valign="top" rowspan="1" colspan="1">2.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;Stage</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"/><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"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;I, %</td><td align="center" valign="top" rowspan="1" colspan="1">47.5</td><td align="center" valign="top" rowspan="1" colspan="1">53.5</td><td align="center" valign="top" rowspan="1" colspan="1">48.1</td><td align="center" valign="top" rowspan="1" colspan="1">45.8</td><td align="center" valign="top" rowspan="1" colspan="1">44.4</td><td align="center" valign="top" rowspan="1" colspan="1">40.7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;II, %</td><td align="center" valign="top" rowspan="1" colspan="1">34.2</td><td align="center" valign="top" rowspan="1" colspan="1">32.2</td><td align="center" valign="top" rowspan="1" colspan="1">34.3</td><td align="center" valign="top" rowspan="1" colspan="1">34.9</td><td align="center" valign="top" rowspan="1" colspan="1">34.7</td><td align="center" valign="top" rowspan="1" colspan="1">36.1</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;III, %</td><td align="center" valign="top" rowspan="1" colspan="1">11.5</td><td align="center" valign="top" rowspan="1" colspan="1">9.3</td><td align="center" valign="top" rowspan="1" colspan="1">11.0</td><td align="center" valign="top" rowspan="1" colspan="1">12.0</td><td align="center" valign="top" rowspan="1" colspan="1">13.1</td><td align="center" valign="top" rowspan="1" colspan="1">14.3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;IV, %</td><td align="center" valign="top" rowspan="1" colspan="1">5.7</td><td align="center" valign="top" rowspan="1" colspan="1">4.3</td><td align="center" valign="top" rowspan="1" colspan="1">5.3</td><td align="center" valign="top" rowspan="1" colspan="1">6.0</td><td align="center" valign="top" rowspan="1" colspan="1">6.6</td><td align="center" valign="top" rowspan="1" colspan="1">7.8</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Unknown, %</td><td align="center" valign="top" rowspan="1" colspan="1">1.1</td><td align="center" valign="top" rowspan="1" colspan="1">0.7</td><td align="center" valign="top" rowspan="1" colspan="1">1.3</td><td align="center" valign="top" rowspan="1" colspan="1">1.4</td><td align="center" valign="top" rowspan="1" colspan="1">1.2</td><td align="center" valign="top" rowspan="1" colspan="1">1.1</td></tr><tr><th align="left" valign="top" rowspan="1" colspan="1">Neighborhood characteristics</th><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/><th align="center" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;Percent of Black residents: &#x0003e;50%, %</td><td align="center" valign="top" rowspan="1" colspan="1">24.0</td><td align="center" valign="top" rowspan="1" colspan="1">3.3</td><td align="center" valign="top" rowspan="1" colspan="1">15.0</td><td align="center" valign="top" rowspan="1" colspan="1">22.7</td><td align="center" valign="top" rowspan="1" colspan="1">38.6</td><td align="center" valign="top" rowspan="1" colspan="1">67.0</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;Living in persistent poverty, % <sup><xref rid="TFN1" ref-type="table-fn">a</xref></sup></td><td align="center" valign="top" rowspan="1" colspan="1">9.9</td><td align="center" valign="top" rowspan="1" colspan="1">0.6</td><td align="center" valign="top" rowspan="1" colspan="1">2.1</td><td align="center" valign="top" rowspan="1" colspan="1">6.0</td><td align="center" valign="top" rowspan="1" colspan="1">16</td><td align="center" valign="top" rowspan="1" colspan="1">42.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02002;Urban/rural status</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"/><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"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Urban, %</td><td align="center" valign="top" rowspan="1" colspan="1">76.2</td><td align="center" valign="top" rowspan="1" colspan="1">92.6</td><td align="center" valign="top" rowspan="1" colspan="1">79.2</td><td align="center" valign="top" rowspan="1" colspan="1">67.2</td><td align="center" valign="top" rowspan="1" colspan="1">61.4</td><td align="center" valign="top" rowspan="1" colspan="1">69.4</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">&#x02003;&#x02002;Rural, %</td><td align="center" valign="top" rowspan="1" colspan="1">23.8</td><td align="center" valign="top" rowspan="1" colspan="1">7.4</td><td align="center" valign="top" rowspan="1" colspan="1">20.8</td><td align="center" valign="top" rowspan="1" colspan="1">32.8</td><td align="center" valign="top" rowspan="1" colspan="1">38.6</td><td align="center" valign="top" rowspan="1" colspan="1">30.6</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>a</label><p id="P36">Persistent poverty defined as census tracts with &#x02265;20% of the population identified as living below the poverty line on the 1990 and 2000 decennial censuses and in the 2007-2011 and 2015-2019 American Community Survey 5-year estimates.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T2" orientation="landscape"><label>Table 2.</label><caption><p id="P37">Age- and multivariable-adjusted odds ratios for the association between neighborhood deprivation and triple negative, HER2-enriched, or luminal B breast cancer versus luminal A breast cancer.</p></caption><table frame="hsides" rules="none"><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"/><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"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Neighborhood<break/> Deprivation<break/> Index</th><th align="center" valign="bottom" rowspan="1" colspan="1">Luminal A<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">TNBC<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN3" ref-type="table-fn">a</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1">HER2-enriched<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN3" ref-type="table-fn">a</xref></sup>
</th><th align="center" valign="bottom" rowspan="1" colspan="1">Luminal B<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN3" ref-type="table-fn">a</xref></sup>
</th></tr><tr><th colspan="2" align="left" valign="bottom" rowspan="1">
<hr/>
</th><th colspan="3" align="center" valign="bottom" rowspan="1">
<hr/>
</th><th colspan="3" align="center" valign="bottom" rowspan="1">
<hr/>
</th><th colspan="3" align="center" valign="bottom" rowspan="1">
<hr/>
</th></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">Quintile 1 (Least)</td><td align="center" valign="top" rowspan="1" colspan="1">7,949</td><td align="center" valign="top" rowspan="1" colspan="1">1,089</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">456</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1,293</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Quintile 2</td><td align="center" valign="top" rowspan="1" colspan="1">6,661</td><td align="center" valign="top" rowspan="1" colspan="1">1,185</td><td align="center" valign="top" rowspan="1" colspan="1">1.31 (1.20-1.43)</td><td align="center" valign="top" rowspan="1" colspan="1">1.12 (1.03-1.23)</td><td align="center" valign="top" rowspan="1" colspan="1">437</td><td align="center" valign="top" rowspan="1" colspan="1">1.15 (1.01-1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">1.05 (0.92-1.21)</td><td align="center" valign="top" rowspan="1" colspan="1">1,187</td><td align="center" valign="top" rowspan="1" colspan="1">1.10 (1.01-1.20)</td><td align="center" valign="top" rowspan="1" colspan="1">1.07 (0.98-1.16)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Quintile 3</td><td align="center" valign="top" rowspan="1" colspan="1">5,476</td><td align="center" valign="top" rowspan="1" colspan="1">1,118</td><td align="center" valign="top" rowspan="1" colspan="1">1.53 (1.40-1.67)</td><td align="center" valign="top" rowspan="1" colspan="1">1.20 (1.09-1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">390</td><td align="center" valign="top" rowspan="1" colspan="1">1.28 (1.11-1.47)</td><td align="center" valign="top" rowspan="1" colspan="1">1.11 (0.96-1.29)</td><td align="center" valign="top" rowspan="1" colspan="1">1,018</td><td align="center" valign="top" rowspan="1" colspan="1">1.17 (1.07-1.28)</td><td align="center" valign="top" rowspan="1" colspan="1">1.12 (1.02-1.22)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Quintile 4</td><td align="center" valign="top" rowspan="1" colspan="1">4,537</td><td align="center" valign="top" rowspan="1" colspan="1">1,007</td><td align="center" valign="top" rowspan="1" colspan="1">1.65 (1.50-1.81)</td><td align="center" valign="top" rowspan="1" colspan="1">1.18 (1.06-1.30)</td><td align="center" valign="top" rowspan="1" colspan="1">360</td><td align="center" valign="top" rowspan="1" colspan="1">1.41 (1.22-1.63)</td><td align="center" valign="top" rowspan="1" colspan="1">1.16 (0.99-1.35)</td><td align="center" valign="top" rowspan="1" colspan="1">844</td><td align="center" valign="top" rowspan="1" colspan="1">1.16 (1.06-1.28)</td><td align="center" valign="top" rowspan="1" colspan="1">1.08 (0.98-1.20)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Quintile 5 (Most)</td><td align="center" valign="top" rowspan="1" colspan="1">3,260</td><td align="center" valign="top" rowspan="1" colspan="1">929</td><td align="center" valign="top" rowspan="1" colspan="1">2.15 (1.95-2.37)</td><td align="center" valign="top" rowspan="1" colspan="1">1.33 (1.19-1.48)</td><td align="center" valign="top" rowspan="1" colspan="1">283</td><td align="center" valign="top" rowspan="1" colspan="1">1.58 (1.36-1.85)</td><td align="center" valign="top" rowspan="1" colspan="1">1.19 (1.00-1.40)</td><td align="center" valign="top" rowspan="1" colspan="1">616</td><td align="center" valign="top" rowspan="1" colspan="1">1.21 (1.09-1.34)</td><td align="center" valign="top" rowspan="1" colspan="1">1.08 (0.96-1.21)</td></tr></tbody></table><table-wrap-foot><fn id="TFN2"><p id="P38">HER2, Human epidermal growth factor receptor 2; TNBC, Triple negative breast cancer; OR, Odds ratio; CI, Confidence interval; MV, Multivariable.</p></fn><fn id="TFN3"><label>a</label><p id="P39">Multivariable models adjusted for age, race, marital status, and rurality.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T3" orientation="landscape"><label>Table 3.</label><caption><p id="P40">Age- and multivariable-adjusted odds ratios for the association between neighborhood deprivation and triple negative, HER2-enriched, or luminal B breast cancer versus luminal A breast cancer, according to race.</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"/><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"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Neighborhood<break/> Deprivation Index</th><th align="center" valign="bottom" rowspan="1" colspan="1">Luminal A<break/> Cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">TNBC<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN5" ref-type="table-fn">a</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1">HER2-enriched<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN5" ref-type="table-fn">a</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1">Luminal B<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN5" ref-type="table-fn">a</xref></sup></th></tr></thead><tbody><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="10" align="center" valign="top" style="border-bottom: solid 1px" rowspan="1">Non-Hispanic Black patients</th></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q1 (Least deprived)</td><td align="center" valign="top" rowspan="1" colspan="1">881</td><td align="center" valign="top" rowspan="1" colspan="1">281</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">93</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">186</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q2</td><td align="center" valign="top" rowspan="1" colspan="1">1497</td><td align="center" valign="top" rowspan="1" colspan="1">480</td><td align="center" valign="top" rowspan="1" colspan="1">1.01 (0.86-1.20)</td><td align="center" valign="top" rowspan="1" colspan="1">0.99 (0.84-1.18)</td><td align="center" valign="top" rowspan="1" colspan="1">156</td><td align="center" valign="top" rowspan="1" colspan="1">0.99 (0.76-1.30)</td><td align="center" valign="top" rowspan="1" colspan="1">0.98 (0.75-1.29)</td><td align="center" valign="top" rowspan="1" colspan="1">347</td><td align="center" valign="top" rowspan="1" colspan="1">1.10 (0.90-1.34)</td><td align="center" valign="top" rowspan="1" colspan="1">1.10 (0.90-1.34)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q3</td><td align="center" valign="top" rowspan="1" colspan="1">1567</td><td align="center" valign="top" rowspan="1" colspan="1">521</td><td align="center" valign="top" rowspan="1" colspan="1">1.06 (0.90-1.26)</td><td align="center" valign="top" rowspan="1" colspan="1">1.02 (0.86-1.21)</td><td align="center" valign="top" rowspan="1" colspan="1">143</td><td align="center" valign="top" rowspan="1" colspan="1">0.88 (0.67-1.16)</td><td align="center" valign="top" rowspan="1" colspan="1">0.87 (0.66-1.15)</td><td align="center" valign="top" rowspan="1" colspan="1">355</td><td align="center" valign="top" rowspan="1" colspan="1">1.10(0.90-1.34)</td><td align="center" valign="top" rowspan="1" colspan="1">1.10 (0.90-1.34)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q4</td><td align="center" valign="top" rowspan="1" colspan="1">1735</td><td align="center" valign="top" rowspan="1" colspan="1">593</td><td align="center" valign="top" rowspan="1" colspan="1">1.12 (0.95-1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">1.05 (0.88-1.24)</td><td align="center" valign="top" rowspan="1" colspan="1">192</td><td align="center" valign="top" rowspan="1" colspan="1">1.09 (0.84-1.41)</td><td align="center" valign="top" rowspan="1" colspan="1">1.06 (0.81-1.38)</td><td align="center" valign="top" rowspan="1" colspan="1">393</td><td align="center" valign="top" rowspan="1" colspan="1">1.12 (0.92-1.36)</td><td align="center" valign="top" rowspan="1" colspan="1">1.12 (0.92-1.37)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q5 (Most deprived)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1909</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">715</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.26 (1.07-1.48)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.18 (1.00-1.39)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">198</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.05 (0.81-1.36)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.03 (0.79-1.34)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">397</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.07 (0.88-1.30)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.08 (0.89-1.31)</td></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="10" align="center" valign="top" style="border-bottom: solid 1px" rowspan="1">Non-Hispanic White patients</th></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q1 (Least deprived)</td><td align="center" valign="top" rowspan="1" colspan="1">7068</td><td align="center" valign="top" rowspan="1" colspan="1">808</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">363</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1107</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q2</td><td align="center" valign="top" rowspan="1" colspan="1">5164</td><td align="center" valign="top" rowspan="1" colspan="1">705</td><td align="center" valign="top" rowspan="1" colspan="1">1.22 (1.09-1.36)</td><td align="center" valign="top" rowspan="1" colspan="1">1.18 (1.06-1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">281</td><td align="center" valign="top" rowspan="1" colspan="1">1.09 (0.93-1.28)</td><td align="center" valign="top" rowspan="1" colspan="1">1.07 (0.91-1.26)</td><td align="center" valign="top" rowspan="1" colspan="1">840</td><td align="center" valign="top" rowspan="1" colspan="1">1.06 (0.97-1.17)</td><td align="center" valign="top" rowspan="1" colspan="1">1.06 (0.96-1.17)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q3</td><td align="center" valign="top" rowspan="1" colspan="1">3909</td><td align="center" valign="top" rowspan="1" colspan="1">597</td><td align="center" valign="top" rowspan="1" colspan="1">1.39 (1.25-1.56)</td><td align="center" valign="top" rowspan="1" colspan="1">1.32 (1.17-1.48)</td><td align="center" valign="top" rowspan="1" colspan="1">247</td><td align="center" valign="top" rowspan="1" colspan="1">1.30 (1.10-1.54)</td><td align="center" valign="top" rowspan="1" colspan="1">1.26 (1.06-1.50)</td><td align="center" valign="top" rowspan="1" colspan="1">663</td><td align="center" valign="top" rowspan="1" colspan="1">1.15 (1.03-1.27)</td><td align="center" valign="top" rowspan="1" colspan="1">1.13 (1.01-1.26)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q4</td><td align="center" valign="top" rowspan="1" colspan="1">2802</td><td align="center" valign="top" rowspan="1" colspan="1">414</td><td align="center" valign="top" rowspan="1" colspan="1">1.34 (1.18-1.53)</td><td align="center" valign="top" rowspan="1" colspan="1">1.25 (1.09-1.43)</td><td align="center" valign="top" rowspan="1" colspan="1">168</td><td align="center" valign="top" rowspan="1" colspan="1">1.23 (1.02-1.48)</td><td align="center" valign="top" rowspan="1" colspan="1">1.17 (0.96-1.43)</td><td align="center" valign="top" rowspan="1" colspan="1">451</td><td align="center" valign="top" rowspan="1" colspan="1">1.08 (0.96-1.21)</td><td align="center" valign="top" rowspan="1" colspan="1">1.06 (0.93-1.20)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q5 (Most deprived)</td><td align="center" valign="top" rowspan="1" colspan="1">1351</td><td align="center" valign="top" rowspan="1" colspan="1">214</td><td align="center" valign="top" rowspan="1" colspan="1">1.49 (1.26-1.75)</td><td align="center" valign="top" rowspan="1" colspan="1">1.40 (1.18-1.65)</td><td align="center" valign="top" rowspan="1" colspan="1">85</td><td align="center" valign="top" rowspan="1" colspan="1">1.35 (1.05-1.72)</td><td align="center" valign="top" rowspan="1" colspan="1">1.29 (1.00-1.66)</td><td align="center" valign="top" rowspan="1" colspan="1">219</td><td align="center" valign="top" rowspan="1" colspan="1">1.13 (0.96-1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">1.10 (0.94-1.29)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">P-interaction</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.34</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">0.21</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">0.90</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN4"><p id="P41">HER2, Human epidermal growth factor receptor 2; TNBC, Triple negative breast cancer; OR, Odds ratio; CI, Confidence interval; MV, Multivariable; Q, Quintile.</p></fn><fn id="TFN5"><label>a</label><p id="P42">Multivariable models adjusted for age, marital status, and rurality.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="T4" orientation="landscape"><label>Table 4.</label><caption><p id="P43">Age- and multivariable-adjusted odds ratios for the association between neighborhood deprivation and triple negative, HER2-enriched, or luminal B breast cancer versus luminal A breast cancer, according to rurality.</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"/><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"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="bottom" rowspan="1" colspan="1">Neighborhood<break/> Deprivation Index</th><th align="center" valign="bottom" rowspan="1" colspan="1">Luminal A<break/> Cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">TNBC<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN7" ref-type="table-fn">a</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1">HER2-enriched<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN7" ref-type="table-fn">a</xref></sup></th><th align="center" valign="bottom" rowspan="1" colspan="1">Luminal B<break/> cases</th><th align="center" valign="bottom" rowspan="1" colspan="1">Age-adjusted<break/> OR (95% CI)</th><th align="center" valign="bottom" rowspan="1" colspan="1">MV-adjusted<break/> OR (95% CI) <sup><xref rid="TFN7" ref-type="table-fn">a</xref></sup></th></tr></thead><tbody><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="10" align="center" valign="top" style="border-bottom: solid 1px" rowspan="1">Urban counties</th></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q1 (Least deprived)</td><td align="center" valign="top" rowspan="1" colspan="1">7364</td><td align="center" valign="top" rowspan="1" colspan="1">1013</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">418</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1194</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q2</td><td align="center" valign="top" rowspan="1" colspan="1">5288</td><td align="center" valign="top" rowspan="1" colspan="1">916</td><td align="center" valign="top" rowspan="1" colspan="1">1.26 (1.14-1.39)</td><td align="center" valign="top" rowspan="1" colspan="1">1.09 (0.99-1.20)</td><td align="center" valign="top" rowspan="1" colspan="1">346</td><td align="center" valign="top" rowspan="1" colspan="1">1.15 (0.99-1.33)</td><td align="center" valign="top" rowspan="1" colspan="1">1.06 (0.91-1.23)</td><td align="center" valign="top" rowspan="1" colspan="1">953</td><td align="center" valign="top" rowspan="1" colspan="1">1.11 (1.01-1.22)</td><td align="center" valign="top" rowspan="1" colspan="1">1.07 (0.98-1.18)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q3</td><td align="center" valign="top" rowspan="1" colspan="1">3669</td><td align="center" valign="top" rowspan="1" colspan="1">740</td><td align="center" valign="top" rowspan="1" colspan="1">1.48 (1.33-1.64)</td><td align="center" valign="top" rowspan="1" colspan="1">1.17 (1.05-1.30)</td><td align="center" valign="top" rowspan="1" colspan="1">267</td><td align="center" valign="top" rowspan="1" colspan="1">1.30 (1.10-1.52)</td><td align="center" valign="top" rowspan="1" colspan="1">1.13 (0.96-1.33)</td><td align="center" valign="top" rowspan="1" colspan="1">703</td><td align="center" valign="top" rowspan="1" colspan="1">1.19 (1.08-1.32)</td><td align="center" valign="top" rowspan="1" colspan="1">1.13 (1.01-1.25)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q4</td><td align="center" valign="top" rowspan="1" colspan="1">2758</td><td align="center" valign="top" rowspan="1" colspan="1">632</td><td align="center" valign="top" rowspan="1" colspan="1">1.67 (1.50-1.87)</td><td align="center" valign="top" rowspan="1" colspan="1">1.21 (1.08-1.36)</td><td align="center" valign="top" rowspan="1" colspan="1">224</td><td align="center" valign="top" rowspan="1" colspan="1">1.44 (1.22-1.71)</td><td align="center" valign="top" rowspan="1" colspan="1">1.19 (1.00-1.42)</td><td align="center" valign="top" rowspan="1" colspan="1">528</td><td align="center" valign="top" rowspan="1" colspan="1">1.19 (1.06-1.33)</td><td align="center" valign="top" rowspan="1" colspan="1">1.10 (0.97-1.23)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q5 (Most deprived)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">2246</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">633</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">2.09 (1.87-2.34)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.33 (1.18-1.50)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">202</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.64 (1.37-1.95)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.25 (1.04-1.52)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">448</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.27 (1.13-1.43)</td><td align="center" valign="top" style="border-bottom: solid 1px" rowspan="1" colspan="1">1.14 (1.00-1.29)</td></tr><tr><th align="left" valign="top" rowspan="1" colspan="1"/><th colspan="10" align="center" valign="top" style="border-bottom: solid 1px" rowspan="1">Rural counties</th></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q1 (Least deprived)</td><td align="center" valign="top" rowspan="1" colspan="1">585</td><td align="center" valign="top" rowspan="1" colspan="1">76</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">38</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">99</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (Ref)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q2</td><td align="center" valign="top" rowspan="1" colspan="1">1373</td><td align="center" valign="top" rowspan="1" colspan="1">269</td><td align="center" valign="top" rowspan="1" colspan="1">1.52 (1.15-2.00)</td><td align="center" valign="top" rowspan="1" colspan="1">1.46 (1.10-1.92)</td><td align="center" valign="top" rowspan="1" colspan="1">91</td><td align="center" valign="top" rowspan="1" colspan="1">1.03 (0.70-1.52)</td><td align="center" valign="top" rowspan="1" colspan="1">1.00 (0.67-1.48)</td><td align="center" valign="top" rowspan="1" colspan="1">234</td><td align="center" valign="top" rowspan="1" colspan="1">1.01 (0.78-1.30)</td><td align="center" valign="top" rowspan="1" colspan="1">0.99 (0.77-1.28)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q3</td><td align="center" valign="top" rowspan="1" colspan="1">1807</td><td align="center" valign="top" rowspan="1" colspan="1">378</td><td align="center" valign="top" rowspan="1" colspan="1">1.65 (1.27-2.16)</td><td align="center" valign="top" rowspan="1" colspan="1">1.52 (1.16-1.98)</td><td align="center" valign="top" rowspan="1" colspan="1">123</td><td align="center" valign="top" rowspan="1" colspan="1">1.07 (0.74-1.57)</td><td align="center" valign="top" rowspan="1" colspan="1">1.01 (0.69-1.48)</td><td align="center" valign="top" rowspan="1" colspan="1">315</td><td align="center" valign="top" rowspan="1" colspan="1">1.05 (0.82-1.34)</td><td align="center" valign="top" rowspan="1" colspan="1">1.02 (0.80-1.31)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q4</td><td align="center" valign="top" rowspan="1" colspan="1">1779</td><td align="center" valign="top" rowspan="1" colspan="1">375</td><td align="center" valign="top" rowspan="1" colspan="1">1.63 (1.25-2.12)</td><td align="center" valign="top" rowspan="1" colspan="1">1.33 (1.02-1.74)</td><td align="center" valign="top" rowspan="1" colspan="1">136</td><td align="center" valign="top" rowspan="1" colspan="1">1.17 (0.81-1.70)</td><td align="center" valign="top" rowspan="1" colspan="1">1.03 (0.71-1.51)</td><td align="center" valign="top" rowspan="1" colspan="1">316</td><td align="center" valign="top" rowspan="1" colspan="1">1.04 (0.81-1.33)</td><td align="center" valign="top" rowspan="1" colspan="1">0.98 (0.77-1.26)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">Q5 (Most deprived)</td><td align="center" valign="top" rowspan="1" colspan="1">1014</td><td align="center" valign="top" rowspan="1" colspan="1">296</td><td align="center" valign="top" rowspan="1" colspan="1">2.30 (1.75-3.03)</td><td align="center" valign="top" rowspan="1" colspan="1">1.52 (1.15-2.03)</td><td align="center" valign="top" rowspan="1" colspan="1">81</td><td align="center" valign="top" rowspan="1" colspan="1">1.27 (0.85-1.89)</td><td align="center" valign="top" rowspan="1" colspan="1">0.98 (0.65-1.48)</td><td align="center" valign="top" rowspan="1" colspan="1">168</td><td align="center" valign="top" rowspan="1" colspan="1">0.99 (0.76-1.30)</td><td align="center" valign="top" rowspan="1" colspan="1">0.89 (0.68-1.18)</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">P-interaction</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1">0.20</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">0.95</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">0.73</td><td align="center" valign="top" rowspan="1" colspan="1"/><td align="center" valign="top" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="TFN6"><p id="P44">HER2, Human epidermal growth factor receptor 2; TNBC, Triple negative breast cancer; OR, Odds ratio; CI, Confidence interval; MV, Multivariable; Q, Quintile.</p></fn><fn id="TFN7"><label>a</label><p id="P45">Multivariable models adjusted for age, race, and marital status.</p></fn></table-wrap-foot></table-wrap></floats-group></article>