Proportion Of African American Residents Research Articles

Promoting equity in urban heat: a greening approach for HOLC's legacy in Houston, Texas

ABSTRACT The lingering influence of the Homeowners’ Loan Corporation (HOLC), a programme established during the 1930s as part of the New Deal, persists in creating a barrier that prevents progress for marginalised communities [Faber, J. 2020. “We Built This: Consequences of New Deal Era Intervention in America’s Racial Geography.” American Sociological Review 85 (5): 739–775. https://doi.org/10.1177/000312242094846]. Particularly notable is the urban heat island phenomenon, currently evident in numerous metropolitan areas nationwide, which disproportionately impacts neighbourhoods that were redlined due to the historical HOLC rankings and subsequent lack of financial investments. This study undertakes a comparative and analytical examination of temperature variations within HOLC-designated zones in Houston, Texas. It employs basic social indicators and evaluates tree canopy density through analysis of variance. Furthermore, spatial regression modelling is employed to mitigate temperature differentials between neighbourhoods characterised by urban tree canopy, especially focusing on the contrast between “A” and “D” zones. In addition, drawing on the statistical parameters derived from estimation, the study's scenario analysis uncovers that a 54% augmentation in tree canopy density within “D” zones would effectively establish thermal equity. As a result, elevating tree canopy density emerges as a strategy to curtail temperature discrepancies while concurrently introducing cooling impacts on surrounding districts. The dataset utilised for the study encompasses satellite-derived urban temperature records, spatially extensive data on tree canopy density, vulnerability insights from the U.S. Census Bureau, and demographic data, including the proportion of African American residents primarily concentrated in “D” graded districts. Thus, this study not only holds potential for enhancing circumstances within marginalised communities but also introduces a pathway to cultivate an enabling environment for all residents.

Parks, People, and Pollution: A Relational Study of Socioenvironmental Succession

The urban environmental inequality literature holds that marginalized communities are generally concentrated in neighborhoods with greater levels of industrial pollution and lesser access to parks and playfields. Yet, “green” and “brown” land uses are also linked historically and through contemporary practices of green redevelopment. This article thus begins from the understanding that it is important to analyze both forms of urban land use at once, to avoid mistaking one historical process for another. Focusing on Providence, Rhode Island (1970–2010), we leverage original historical data on the location and operating years of public parks alongside comprehensive industrial site data to analyze the joint transformation of residential populations, parks, and industry over time. We find that park access generally increases for Latinx residents; however, after accounting for increases in park access associated with past industrial land use, we find that census tracts with growing proportions of African American residents are associated with relatively less access to parks than other census tracts. Results reveal additional dimensions to the role of industrial history in shaping the socioenvironmental trajectory of local neighborhoods and additionally emphasize the importance of a historical and relational view of urban land use in urban environmental research.

Association of wound healing with quality and continuity of care and sociodemographic characteristics

To evaluate the association between clinics' wound healing performance and clinic-level measures of care continuity, clinical quality, and sociodemographic characteristics of the population in their catchment areas. In this cross-sectional analysis, we analyzed electronic health records for 180,336 chronic wounds from 480 wound care clinics during the 2018 calendar year. We measured healing performance using a clinic's observed to expected (O/E) ratio, which is based on the rate at which chronic wounds were predicted to heal within 12 weeks given its case mix and the actual healing rate. We compared the top and bottom quintiles, in terms of the O/E ratio, of clinics. Multivariable regression was used to estimate the effect of the clinic-level measures on the O/E ratio. Clinics in the top quintile had higher rates of care continuity and quality measures, as well as a lower proportion of disadvantaged populations in their catchment areas. In the regression model, 10% increases in a clinic's rate of weekly provider visits, nurse visits, and debridement were associated with 2.5%, 3.0% and 0.7% increases, respectively, in the O/E ratio. The weekly provider visit rate had a greater marginal effect when the proportion of African American residents in the clinic's catchment area was larger. Clinic-level measures of care continuity, clinical quality, and sociodemographic composition of their catchment areas' population explain a meaningful part of differences in clinics' wound healing performance. Better care continuity appears to have a greater beneficial effect in disadvantaged populations.

Association of historic redlining and present-day health in Baltimore.

BackgroundIn the 1930s, the Home Owners’ Loan Corporation categorized neighborhoods by investment grade along racially discriminatory lines, a process known as redlining. Although other authors have found associations between Home Owners’ Loan Corporation categories and current impacts on racial segregation, analysis of current health impacts rarely use these maps.ObjectiveTo study whether historical redlining in Baltimore is associated with health impacts today.ApproachFifty-four present-day planning board-defined community statistical areas are assigned historical Home Owners’ Loan Corporation categories by area predominance. Categories are red (“hazardous”), yellow (”definitely declining”) with blue/green (“still desirable”/”best”) as the reference category. Community statistical area life expectancy is regressed against Home Owners’ Loan Corporation category, controlling for median household income and proportion of African American residents.ConclusionRed categorization is associated with 4.01 year reduction (95% CI: 1.47, 6.55) and yellow categorization is associated with 5.36 year reduction (95% CI: 3.02, 7.69) in community statistical area life expectancy at baseline. When controlling for median household income and proportion of African American residents, red is associated with 5.23 year reduction (95% CI: 3.49, 6.98) and yellow with 4.93 year reduction (95% CI: 3.22, 6.23). Results add support that historical redlining is associated with health today.

Do algorithms discriminate against African Americans in lending?

Vast evidence exists of discrimination in lending against African Americans. Does such widespread discrimination persist in peer-to-peer lending, in the absence of information about borrowers’ ethnicity? To investigate this question, we gather data from a large peer-to-peer lender that uses algorithms and no face-to-face interviews to determine loan approval and conditions. With data from 3.6 million loan applications and 817,000 granted loans during 2016 and 2017, we perform regressions of loan acceptance and loan conditions on the percentage of African American residents by 3-digit zip area. The evidence shows the persistence of discrimination in peer-to-peer lending against African American borrowers. In areas with higher proportions of African American residents, the results reveal higher loan rejection, higher loan spread, and shorter loan maturity. Discrimination in peer-to-peer lending also affects Native American and Asian borrowers. Thus, the expansion of peer-to-peer lending cannot end discrimination in lending.

“Subtle, vicious effects”: Lillian Steele Proctor's Pioneering Investigation of Gifted African American Children in Washington, DC

AbstractThis essay examines the first detailed study of gifted African American youth: Lillian Steele Proctor's master's thesis from the late 1920s on Black children in Washington, DC. Unlike formative research on gifted children by educational psychologists, Proctor's investigation emphasized children's experiences at school, home, and community in determining their abilities, opportunities, and accomplishments. Proctor's work also anticipated African American intellectuals’ critiques of racist claims about intelligence and giftedness that would flourish in the 1930s. In focusing on the nation's capital, her investigation drew from a municipality with a high proportion of African American residents that was segregated by law. Proctor pointed directly to systemic racism as both contributing to the relative invisibility of gifted African American youth and in thwarting opportunities to realize their intellectual potential. In an environment of racial subordination and segregation, these gifted children found themselves excluded from cultural resources and educational opportunities.

Urban forest response to Hurricane Irma: The role of landscape characteristics and sociodemographic context

While often considered “open grown,” urban trees are often found in relatively close proximity to neighboring trees, buildings, and other elements of urban infrastructure. These spatial arrangements may provide wind protection during severe weather events such as hurricanes. Beyond this very local scale, urban tree abundance and condition are often influenced by the greater sociodemographic context of the neighborhood or community where they are found. In an effort to assess the impact of these external factors on wind firmness after Hurricane Irma impacted Florida in 2017, we revisited three urban areas that had previously been inventoried using sample plots prior to the storm. At each plot we assessed storm damage and characterized surrounding protective elements (i.e., buildings and other trees) using a combination of ground-based and aerial approaches. This was then paired with block group level sociodemographic data derived from the United States Census. Logistic regression results confirmed previous research, showing that partial and whole tree failure were significantly more likely with a larger stem diameter (p = 0.001) and perceived/previously documented lower wind firmness (p = 0.004). However, our results disagreed with previous studies linking species diversity and resilience, showing tree failure was significantly more likely with higher Shannon Diversity Index (p = 0.008). A comparative geographically weighted logistic regression model also found that the higher proportions of African American residents and Hispanic residents, and the median age of residents were significant predictors of less likely tree failure in 30 %, 36 %, and 20 % of plots, respectively. However, this evidence was weak, compared to that of tree- and plot-level effects. Despite being a key predictor of interest, we did not see any significant protective effect from neighboring trees or structures.

Evaluation of a Local Ordinance to Prevent Any Underage Purchases in Liquor Stores: The Need for Enforcement

In June 2012, Baltimore City, MD, enacted legislation (commonly referred to as the Mosby Bill) prohibiting all liquor stores (outlets that primarily sell alcoholic beverages) from selling "any food, goods, wares, supplies, or other merchandise to any person under the age of 18." Three years after enactment, we evaluated the impact of this legislation on non-alcohol product sales among youth. Research assistants (RAs) ages 16-20 were trained in using a standardized observational tool to quantify and record characteristics of the outlets, including products sold. A trained pair comprising one RA age 16 to 20 and one RA exactly age 18 were sent into every liquor store (i.e., packaged goods stores and bar/taverns with packaged goods sales) in Baltimore to conduct the assessment and make a non-alcohol purchase. Since the research was not conducted in concert with the police, the 18-year-old RA made the purchase attempt while the other (age 16 to 20) RA completed the assessment. Purchase attempts were made at 502 liquor stores, and 352 of those attempts were successful (able to make purchase without being asked for identification or age; noncompliance rate = 68.1%). Noncompliance was highest among packaged goods stores compared with bar/taverns, and in neighborhoods with a lower median household income and a higher proportion of African American residents (p < .050). Noncompliant outlets were also located closer to public schools (p < .050). This evaluation demonstrates that, in the absence of enforcement, ordinances are neither likely to be honored nor to achieve the intended public health benefits.

Implicit black‐weapon associations weakened over time in increasingly multiethnic metropolitan areas

AbstractA repeated cross‐sectional design was used to examine whether temporal changes in implicit Black‐weapon associations were dependent on the changing ethnic diversity of metropolitan areas over the course of a decade (2009–2018). Data on implicit Black‐weapon associations were obtained from Project Implicit. Three indicators of ethnic diversity were calculated using American Community Survey data. Minority representation referred to the proportion of African American residents. Variety was operationalized as the degree to which six ethnic groups each accounted for an equal proportion of the population. Integration assessed the degree to which ethnic groups were evenly distributed across census tracts making up the metropolitan area. Multilevel model analyses (N = 345,647 participants, nested within 185 metropolitan areas) revealed that implicit Black‐weapon associations weakened over time, and to a larger degree in metropolitan areas characterized by steeper increases in variety. This longitudinal relationship is consistent with the notion that, as metropolitan areas become more multiethnic, implicit associations between crime, danger, or violence and Black Americans decline.

Abstract C110: Applications of patient-derived triple-negative breast cancer xenografts that represent understudied patients in Louisiana in targeted therapeutic research

Abstract Triple-negative breast cancers (TNBCs) constitute approximately 12% of all breast cancer cases and are approximately twice as prevalent in African-American populations. Louisiana has a high proportion of African-American residents (32.3% in 2017), and New Orleans has among the highest incidences of TNBC in the country. Louisiana patients also have a high incidence of co-morbidities that affect breast cancer biology and outcomes, including type 2 diabetes and obesity. TNBCs have an aggressive clinical presentation due to high rates of metastasis, recurrence and chemoresistance. There are currently no clinically approved targeted therapies for TNBC; cytotoxic chemotherapy is the first-line treatment for TNBC, and recurrent, chemoresistant cancers are usually fatal. TNBCs are molecularly heterogeneous, consisting of at least four molecular subgroups, and immunologically heterogeneous. Both molecular and immunologic properties are associated with clinical outcomes and are seriously understudied in patients under-represented in biomedical research. Patient-derived xenografts (PDXs), as well as patient-derived organoids (PDO), are currently the best model for translational oncology therapeutic research because they accurately recapitulate the complex architecture and heterogenous genetic and molecular composition of solid cancers. To date, the majority of TNBC research has been based on Caucasian patients, although incidence rates of TNBC are higher in African-American cohorts. Our collaborative team aims to overcome this obstacle by establishing and characterizing TNBC PDX models that represent this understudied cohort. We currently have ten TNBC PDX models representing different patient ethnicities, responsiveness to chemotherapies, as well as different TNBC molecular subtypes and metastatic behavior. We dissect and evaluate the various individual components (tumor cell biology, stroma, immune, extracellular matrix) of TNBC tumors. We utilize these models in vivo, ex vivo and in vitro to examine how unique kinases and targeted inhibitors affect the distinct tumor characteristics. In addition to in vivo treatment studies, we generated cell lines and PDOs and we utilize novel techniques such as tissue decellularization to examine extracellular matrix components. We also analyze mechanistically relevant transcript (qRT-PCR) and protein (Western blot, immunohistochemistry) expression patterns that are unique to each PDX model to evaluate the effects of targeted therapies. We work with surrounding laboratories in the greater New Orleans area (Tulane, LSU, Xavier) that are also focused on therapeutic discovery of TNBC in a collaborative effort to provide translational models for their projects. Our aim is to leverage novel PDX models from understudied patients with a range of clinical and molecular presentations to guide the selection of therapeutically targetable pathways and therapeutic agents in specific molecular subtypes of TNBC. Citation Format: Margarite D. Matossian, Steven Elliott, Hope E. Burks, Maryl Wright, Rachel A. Sabol, Van T. Hoang, Deniz A. Ucar, Alex Alfortish, Jovanny Zabaleta, Fokhrul Hossain, Tiffany Chang, Henri Wathieu, Nicholas Pashos, Bruce Bunnell, Krzysztof Moroz, Arnold Zea, Adam Riker, Steven D. Jones, Elizabeth C. Martin, Lucio Miele, Bridgette M. Collins-Burow, Matthew E. Burow. Applications of patient-derived triple-negative breast cancer xenografts that represent understudied patients in Louisiana in targeted therapeutic research [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr C110.

Social Vulnerability and Racial Inequality in COVID-19 Deaths in Chicago.

Although the current COVID-19 crisis is felt globally, at the local level, COVID-19 has disproportionately affected poor, highly segregated African American communities in Chicago. To understand the emerging pattern of racial inequality in the effects of COVID-19, we examined the relative burden of social vulnerability and health risk factors. We found significant spatial clusters of social vulnerability and risk factors, both of which are significantly associated with the increased COVID-19-related death rate. We also found that a higher percentage of African Americans was associated with increased levels of social vulnerability and risk factors. In addition, the proportion of African American residents has an independent effect on the COVID-19 death rate. We argue that existing inequity is often highlighted in emergency conditions. The disproportionate effects of COVID-19 in African American communities are a reflection of racial inequality and social exclusion that existed before the COVID-19 crisis.

Abstract P6-03-17: Effect of histone deacetylase inhibitors on patient-derived neoadjuvant chemotherapy resistant triple negative breast cancer xenografts that represent understudied patients

Abstract Triple negative breast cancers (TNBCs) are a clinically and biologically aggressive breast cancer (BC) subtype; TNBC tumors have higher rates of metastasis, relapse and acquired/inherent drug resistance. Incidence and mortality rates of TNBC are stratified based on patient ethnicity - patients with African ancestry have higher mortality rates and diagnoses of invasive cancers compared to patients representing other ethnicities. Louisiana has a high proportion of African-American residents (32.7% in 2018), and New Orleans has among the highest incidences of TNBC in the country. Many of our patients present with TNBC tumors that are partially or completely resistant to neoadjuvant chemotherapies. There are currently no clinically approved targeted therapies for TNBC. Current therapeutic discovery focused TNBC research does not aptly address the knowledge gap regarding ethnic disparity in TNBC incidence/mortality rates and TNBC biology. To date, most TNBC-related research and knowledge has been acquired from Caucasian patients, although patients with African and Hispanic ancestries represent the majority of TNBC cases. Patient-derived xenografts (PDXs) are extensively used in BC research, as they mimic complex microanatomy, oncoarchitecture, and cell-cell/cell-stroma interactions of tumors. Here, we demonstrated the unique composition of PDX tumors is not dramatically affected by serial transplantation in mice, based on molecular phenotypes (examined using qRT-PCR and RNA sequencing) and the oncoarchitecture of the extracellular matrix (based on cryogenic scanning electron microscopy). Using these models in basic research facilitates translation of laboratory findings to the clinical setting, and dramatically enhanced drug discovery research. We have established over twelve TNBC PDX models, 90% of which represent patients of African ancestry, and most of which are resistant to neoadjuvant regimens. We focus on dissecting and evaluating kinase inhibitor/targeted drug response to various individual components (tumor cell biology, stroma, immune, extracellular matrix) of chemotherapy resistant TNBC tumors. Histone deacetylase inhibitors (DACi) are a promising therapeutic agent in TNBC systems; they have been shown to suppress tumorigenesis and metastasis in TNBC through suppression of the mesenchymal phenotype in cell line-based studies. In this study we utilized various TNBC PDX models (TU-BcX-2K1, -2O0, 4IC, -4M4, -4QAN, -4QX) to assess these findings in more translational systems. Interestingly, we showed that DACi effect on tumorigenesis and metastasis varied depending on specific TNBC PDXs utilized. These data implicate specific genes/signaling pathways exist in individual patient tumors that can predict tumor responsiveness to DACi. Preliminary data using the NCI oncology drug set implicated the MEK1/2 pathway contributed to sensitization of TNBC cells. Furthermore, we found a disconnect in gene expressions that were previously shown to be affected by DACi therapy (CDH1, VIM, ZEB1, ZEB2) in various derivations of PDX models (cells, PDX-Os, ex vivo, in vivo). These findings demonstrate that testing various derivations of PDX models is crucial to parsing out specific mechanisms of targeted therapies. Our methods presented here to assess targeted drug response and drug resistance using PDX models can be applied to any area of cancer research and is not limited to breast cancer. Citation Format: Margarite Matossian, Steven Elliott, Maryl Wright, Tiffany Chang, Madlin Alzoubi, Henri Wathieu, Rachel Sabol, Alex Alfortish, Hope Burks, Van Hoang, Deniz Ucar, Gabrielle Windsor, Thomas Yan, Jovanny Zabaleta, Fokhrul Hossain, Bruce Bunnell, Krzysztof Moroz, Arnold Zea, Adam Riker, Steven Jones, Elizabeth Martin, Lucio Miele, Bridgette Collins-Burow, Matthew Burow. Effect of histone deacetylase inhibitors on patient-derived neoadjuvant chemotherapy resistant triple negative breast cancer xenografts that represent understudied patients [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-03-17.

Comparative Analysis of Firearm Discharge Recorded by Gunshot Detection Technology and Calls for Service in Louisville, Kentucky

Gunshot detection technology (GDT) has been increasingly adopted by law enforcement agencies to tackle the problem of underreporting of crime via 911 calls for service, which undoubtedly affects the quality of crime mapping and spatial analysis. This article investigates the spatial and temporal patterns of gun violence by comparing data collected from GDT and 911 calls in Louisville, Kentucky. We applied hot spot mapping, near repeat diagnosis, and spatial regression approaches to the analysis of gunshot incidents and their associated neighborhood characteristics. We observed significant discrepancies between GDT data and 911 calls for service, which indicate possible underreporting of firearm discharge in 911 call data. The near repeat analysis suggests an increased risk of gunshots in nearby locations following an initial event. Results of spatial regression models validate the hypothesis of spatial dependence in frequencies of gunshot incidents and crime underreporting across neighborhoods in the study area, both of which are positively associated with proportions of African American residents, who are less likely to report a gunshot. This article adds to a growing body of research on GDT and its benefits for law enforcement activity. Findings from this research not only provide new insights into the spatiotemporal aspects of gun violence in urban areas but also shed light on the issue of underreporting of gun violence.

Abstract A01: Application of patient-derived models from understudied patient populations to discover therapeutically targetable pathways in triple-negative breast cancer systems

Abstract Triple-negative breast cancers (TNBCs) constitute approximately 12% of all breast cancers, and are approximately twice more prevalent in African-American populations. Louisiana has a high proportion of African-American residents (32.5% in 2015), and among the highest incidences of TNBC in the country. Louisiana patients also have a high incidence of comorbidities that affect breast cancer biology and outcomes, including type 2 diabetes and obesity. TNBCs have an aggressive clinical presentation due to high rates of metastasis, recurrence, and chemoresistance, and targeted therapy remains elusive. Discovery of novel therapeutic targets, including a subset of previously uncharacterized kinases in TNBC could provide important insights into future targeted therapies. However, current models utilized in target discovery research are limited by the inability to accurately recapitulate the complex architecture and heterogenous genetic and molecular composition of breast cancer. Furthermore, immortalized cell lines have been selected in a two-dimensional environment and may have lost important epigenetic features of original tumors they derived from. Recently, our laboratory has successfully established four TNBC patient-derived xenograft (PDX) models representing different patient ethnicities, responsiveness to chemotherapies, and different TNBC molecular subtypes and metastatic behavior. Our primary objective was to dissect and evaluate the various individual components (tumor cell biology, stroma, immune, extracellular matrix) that drive complex interactions within TNBC tumors. We utilize these models in vivo, ex vivo, and in vitro to examine how unique kinases and small molecule inhibitors affect the distinct tumor characteristics. In addition to in vivo treatment studies we generated cell lines and mammospheres (TU-BcX-2K1, TU-BcX-2O0, TU-BcX-49S, TU-BcX-4IC), and we utilize novel techniques such as tissue decellularization to examine extracellular matrix components. We also analyze mechanistically relevant transcript (qRT-PCR) and protein (Western blot, immunohistochemistry) expression patterns that are unique to each PDX model to evaluate the effect of small-molecule inhibitors on these transcripts and proteins. Our aim is to leverage novel patient-derived models from understudied patients with a range of clinical presentations to guide the selection of therapeutically targetable pathways and molecules in specific molecular subtypes of TNBC. Citation Format: Margarite Matossian, Hope Burks, Tiffany Chang, Annie Bowles, Rachel Sabol, Van Hoang, Bruce Bunnell, Alex Alfortish, Krzysztof Moroz, Arnold Zea, Adam Riker, Steven Jones, Ayse D. Ucar Bilyeu, Fokhrul Hossain, Kristin Miller, Elizabeth Martin, Benjamen O’Donnell, Nicholas Pashos, Lucio Miele, Matthew Burow, Bridgette Collins-Burow. Application of patient-derived models from understudied patient populations to discover therapeutically targetable pathways in triple-negative breast cancer systems [abstract]. In: Proceedings of the AACR Special Conference: Advances in Breast Cancer Research; 2017 Oct 7-10; Hollywood, CA. Philadelphia (PA): AACR; Mol Cancer Res 2018;16(8_Suppl):Abstract nr A01.

Abstract C87: Spatial accessibility to mammography services in the Lower Mississippi Delta states

Abstract Introduction: The Delta Regional Authority (DRA) is a federally designated region that includes 252 counties across 8 Lower Mississippi Delta Region states (Alabama, Arkansas, Illinois, Kentucky, Louisiana, Mississippi, Missouri, and Tennessee) and contains nearly 10 million residents. The DRA has a high proportion of African American residents, high levels of poverty, and is largely rural. As such, the region has limited access to health care services, which likely leads to underutilization of mammography services and the higher breast cancer mortality of the region compared to the non-DRA counties within these eight states. Limited spatial access to mammography has been shown, in some studies, to be associated with more advanced stage at diagnosis, which may contribute to greater mortality risk. Objective: To assess spatial accessibility to mammography facilities in the DRA and non-DRA counties within the Lower Mississippi Delta Region states. Methods: We obtained the locations of all mammography facilities within the Lower Mississippi Delta Region states from the Food and Drug Administration. We used data from the US Census Bureau's American Community Survey to estimate the number women of recommended screening age (i.e., 45-74, the available data most congruent with recommendations) in each census tract in these states. We implemented the enhanced two-step floating catchment area method to calculate census-tract level spatial accessibility scores (SAS). This method considers both supply of and demand for mammography services within a specified catchment area, such as 60-minute travel time, with weights applied to account for distance decay (i.e., people are less likely to access services that are further away). We calculated Global Moran's I and Local Moran's I to determine if these SAS were spatially clustered and where they were clustered, respectively, within the DRA. We also calculated univariate statistics to compare SAS in the DRA and non-DRA designations of the Lower Mississippi Delta Region states and by rural-urban status using the United States Department of Agriculture's Rural-Urban Commuting Area codes. Because SAS were skewed (i.e., not normally distributed), the nonparametric, Wilcoxon Sum Rank Test was used to compared scores. Results: Global Moran's I indicated limited, but statistically significant, spatial autocorrelation within the DRA (Moran's I=0.17, Z-score=47.67, p&amp;lt;0.001). Local Moran's I showed clusters of high SAS in the DRA designation of Illinois and the westernmost part of the Kentucky DRA designation. Low spatial access was clustered in much of the Arkansas DRA designation and parts of Tennessee and Mississippi (i.e., a cluster of low spatial access around Memphis). Smaller clusters of low spatial access were seen in southern Louisiana as well. There was no statistically significant difference in SAS by DRA designation, with median scores of 0.000175 and 0.000161 in the DRA and non-DRA designations, respectively (p=0.69). There were no differences in SAS scores stratified by state except for Illinois where median SAS were higher in the DRA compared to the non-DRA part of the state (0.000243 and 0.000156, respectively, p&amp;lt;0.001). There were no differences in SAS between the rural and urban DRA and between the urban DRA and non-DRA. However, median spatial access was slightly higher in the rural DRA vs. the non-DRA (0.000171 vs. 0.000170, p=0.03). Discussion: Despite disparities in mammography utilization and breast cancer mortality in the DRA, we found no differences in spatial access to mammography compared to the non-DRA designation of the 8 Lower Mississippi Delta states. However, we identified clusters of low spatial access to mammography in specific parts of the DRA. These areas may be appropriate areas to target with mobile mammography initiatives or construction of free-standing mammography facilities. Citation Format: Whitney E. Zahnd, Sara McLafferty, Recinda Sherman, Susan Farner, Hillary Klonoff-Cohen, Karin Rosenblatt. Spatial accessibility to mammography services in the Lower Mississippi Delta states [abstract]. In: Proceedings of the Tenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2017 Sep 25-28; Atlanta, GA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2018;27(7 Suppl):Abstract nr C87.

St. Louis’s “urban prairie”: Vacant land and the potential for revitalization

ABSTRACTAs part of a larger project to understand the relative health and disorder of St. Louis's neighborhoods, this article presents estimates of the number of vacant parcels in the city. These estimates, which are considerably higher than previously published ones, are heavily concentrated in the city’s disinvested and segregated north side. We term this heavy concentration of vacancy urban prairie. After accounting for other factors as well as possible sources of statistical error, we identify both long-term population loss since 1970 and the proportion of African American residents as significant covariates associated with the amount of urban prairie land per neighborhood. These high levels of concentrated vacancy lead us to critique the city’s existing approaches as being too limited in scope and to suggest a range of possibilities for revitalizing portions of northern St. Louis while allowing prairie land to continue to exist in others.

Identifying Geographic Disparities in Diabetes Prevalence Among Adults and Children Using Emergency Claims Data.

Geographic surveillance can identify hotspots of disease and reveal associations between health and the environment. Our study used emergency department surveillance to investigate geographic disparities in type 1 and type 2 diabetes prevalence among adults and children. Using all-payer emergency claims data from 2009 to 2013, we identified unique New York City residents with diabetes and geocoded their location using home addresses. Geospatial analysis was performed to estimate diabetes prevalence by New York City Census tract. We also used multivariable regression to identify neighborhood-level factors associated with higher diabetes prevalence. We estimated type 1 and type 2 diabetes prevalence at 0.23% and 10.5%, respectively, among adults and 0.20% and 0.11%, respectively, among children in New York City. Pediatric type 1 diabetes was associated with higher income (P = 0.001), whereas adult type 2 diabetes was associated with lower income (P < 0.001). Areas with a higher proportion of nearby restaurants categorized as fast food had a higher prevalence of all types of diabetes (P < 0.001) except for pediatric type 2 diabetes. Type 2 diabetes among children was only higher in neighborhoods with higher proportions of African American residents (P < 0.001). Our findings identify geographic disparities in diabetes prevalence that may require special attention to address the specific needs of adults and children living in these areas. Our results suggest that the food environment may be associated with higher type 1 diabetes prevalence. However, our analysis did not find a robust association with the food environment and pediatric type 2 diabetes, which was predominantly focused in African American neighborhoods.

Abstract P5-05-05: Patient-derived triple negative breast cancer xenografts as a translational model to screen for novel kinase pathways

Abstract Overall, triple negative breast cancers (TNBCs) constitute 12% of all breast cancers, and is approximately twice more prevalent in African-American populations. Louisiana has a high proportion of African-American residents (32.5% in 2015), and thus hosts a higher population of TNBC patients. TNBCs have an aggressive phenotype that is elusive to the targeted therapeutics used to treat other breast cancer subtypes. Certain kinase families have been extensively studied as regulators of epithelial-mesenchymal transition (EMT), a process involved in the initiation of cancer metastasis. Discovery of novel kinase targets within the subset of uncharacterized kinases could provide important insight into future targeted therapies. However, current models utilized in target discovery research are limited by the inability to accurately recapitulate the complex stromal architecture and heterogenous genetic and molecular composition of breast cancer. Furthermore, immortalized cell lines are limited to a 2D environment and over time acquire mutations that may not reflect the primary tumor. Recently, our laboratory has successfully established two TNBC patient-derived xenograft (PDX) models derived from African-American patients, and generated cell lines (TU-BCx-2K1, TU-BCx-2O0) and mammospheres. One of these models, 2O0, presents tumor architecture, cellular composition, genomic (qRT-PCR) and protein (western blot) expressions that are concordant with a claudin-low subtype, which has higher rates of metastasis and recurrence. Furthermore, we show that both TNBC models metastasize to the lungs, and exhibit molecular characteristics consistent with mesenchymal phenotypes. We utilized these translational PDX models to screen a library of small molecule inhibitors that represent a variety of kinase pathways to identify novel therapeutic targets and/or pathways that are specific to TNBC subtypes. We found in a preliminary cell morphology screen using three TNBC cell lines (MDA-MB-231, BT549, MDA-MB-157), two small molecule inhibitors that increased epithelial marker (CDH1) gene expression, suppressed mesenchymal (VIM, c-FOS, SNAI1, ZEB1) expression and/or suppressed cellular motility in transwell migration assays. We observed after ex vivo treatments with our PDX tumors the two compounds increase the epithelial marker CDH1 expression, and suppress mesenchymal markers (VIM, MMP2, c-FOS, SNAI1, ZEB1) expressions. We confirm these findings in the TU-BCx-2K1 cell line. Kinase array data revealed candidate kinases responsible for the observed EMT changes in the two compounds of interest (NEK5, NEK9, NEK1 potentially affect cell motility; SRC-family kinases, TAOK2, STK10 potentially affect EMT gene changes); we plan to utilize the PDX cell lines to characterize these kinases in EMT. We aim to ultimately discover novel therapeutic targets specific to different TNBC molecular subtypes. Citation Format: Matossian M, Burks H, Bowles A, Sabol R, Hoang V, Elliott S, Bunnell B, Zuercher W, Drewry D, Wells C, Alfortish A, Lee S, Hartono A, Jones S, Moroz K, Zea A, Burow M, Collins-Burow B. Patient-derived triple negative breast cancer xenografts as a translational model to screen for novel kinase pathways [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P5-05-05.

Abstract 1117: Triple negative breast cancer patient-derived xenografts as a translational model for discovery of novel therapeutic targets

Abstract Triple negative breast cancers (TNBCs) constitute 12% of all breast cancers, and is approximately twice more prevalent in African-American populations. Louisiana has a high proportion of African-American residents (32.5% in 2015), and thus hosts a higher population of TNBC patients. TNBCs have an aggressive phenotype that is elusive to the targeted therapeutics used to treat other breast cancer subtypes. The claudin-low molecular subtype has higher rates of metastases and recurrence. Certain kinase families have been extensively studied as regulators of epithelial-mesenchymal transition (EMT), a process involved in the initiation of cancer metastasis. Discovery of novel kinase targets within the subset of uncharacterized kinases could provide important insight into future targeted therapies. However, current models utilized in target discovery research are limited by the inability to accurately recapitulate the complex stromal architecture and heterogenous genetic and molecular composition of breast cancer. Furthermore, immortalized cell lines are limited to a 2D environment and over time acquire mutations that may not reflect the primary tumor. Recently, our laboratory has successfully established two TNBC patient-derived xenograft (PDX) models derived from African-American patients, and generated cell lines (TU-BCx-2K1, TU-BCx-2O0) and mammospheres. One of these models, 2O0, presents tumor architecture, cellular composition, genomic (qRT-PCR) and protein (western blot) expressions that are concordant with a claudin-low subtype. Furthermore, we show that both TNBC models metastasize to the lungs, and exhibit molecular characteristics consistent with mesenchymal phenotypes. We utilized these translational PDX models to screen a library of small molecule inhibitors that represent a variety of kinase pathways to identify novel therapeutic targets and/or pathways that are specific to TNBC subtypes. We found in a preliminary cell morphology screen using three TNBC cell lines (MDA-MB-231, BT549, MDA-MB-157), two small molecule inhibitors that increased epithelial marker (CDH1) gene expression, suppressed mesenchymal (VIM, c-FOS, SNAI1, ZEB1) expression and/or suppressed cellular motility in transwell migration assays. We observed after ex vivo treatments with our PDX tumors the two compounds increase the epithelial marker CDH1 expression, and suppress mesenchymal markers (VIM, MMP2) expressions. We confirm these findings in the TU-BCx-2K1 cell line. Kinase array data revealed candidate kinases responsible for the observed EMT changes in the two compounds of interest (NEK5, NEK9, NEK1 potentially affect cell motility; SRC-family kinases, TAOK2, STK10 potentially affect EMT gene changes); we plan to utilize the PDX cell lines to characterize these kinases in EMT. We aim to ultimately discover novel therapeutic targets specific to different TNBC molecular subtypes. Citation Format: Margarite D. Matossian, Hope E. Burks, Annie C. Bowles, Rachel A. Sabol, Van T. Hoang, Bruce Bunnell, William J. Zuercher, David H. Drewry, Carrow Wells, Krzysztof Moroz, Matthew E. Burow, Bridgette Collins-Burow. Triple negative breast cancer patient-derived xenografts as a translational model for discovery of novel therapeutic targets [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1117. doi:10.1158/1538-7445.AM2017-1117

Unearthing ‘dead capital’: Heirs’ property prediction in two U.S. southern counties

Heirs’ property is a form of tenancy in common. It is typically inherited land passed to subsequent generations as intestate property, or property inherited outside of the formal probate process, without “clear title.” In economic terms, this form of property ownership can result in inefficient property uses, as owners tend to under-invest in such properties, owing to uncertainties regarding returns on investments. This, in turn, contributes to a diminution of wealth for affected families. Unclear titles also impede homeowners’ ability to apply for various forms of land and home improvement aid offered by federal agencies. As well, tenancies in common have the effect of intensifying already existing vulnerabilities of place, again, because constraints on homeowners’ access to equity make home improvements less likely.The magnitude of the heirs’ property phenomenon is not well-understood. Extant estimates are dated and often not verifiable; and no systematic means of identifying these parcels has been accepted. We present a methodology for assessing the accuracy of predictors typically used to identify heirs’ parcels using logistic models and data from a rural Appalachian county (Leslie County, KY) and a more urban Black Belt11Historically, the southern “Black Belt” referred to rural counties comprising the antebellum plantation South, renowned for its rich, black, fertile soil. Because of the co-existence between these productive lands and high proportions of African American residents, Black Belt now references that sub-region of the U.S. South with counties containing higher than average numbers of African Americans, including both rural and urban counties. county (Macon-Bibb County, GA). This is the first attempt to empirically examine these predictors. Year property was last sold and financial caretaker are the strongest predictors in both counties. Using these indicators, the percent of correctly predicted heirs’ parcels is about 67 percent in Leslie County and 48 percent in Macon-Bibb County. Applications of this methodology for national forest planning are discussed.