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  • American Association for Cancer Research (AACR)  (3)
  • 1
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 31, No. 1_Supplement ( 2022-01-01), p. PR-03-PR-03
    Abstract: Background: Structural racism has been associated with breast cancer mortality. Exposure to adverse inequities may drive epigenetic perturbations that affect racial disparities in breast cancer outcomes. This study examined the association between neighborhood-level redlining and DNA methylation in non-Hispanic Black and White women diagnosed with breast cancer. Methods: Genome-wide DNA methylation was measured using the EPIC array in the tumor tissue of 84 women. Linear regression models were used to examine the association between neighborhood-level redlining and methylation, regressing β values for each cytosine-phosphate-guanine dinucleotide (CpG) site on redlining while adjusting for covariates. Redlining was derived for census tracts using the Home Mortgage Disclosure Act database. We used a false discovery rate (FDR) threshold & lt;0.1, and for CpGs below this threshold, we examined interactions with Estrogen Receptor (ER) status. We employed multivariable Cox-proportional hazard models to estimate whether aberrant methylation was associated with all-cause mortality. Results: 36 of the CpG sites were associated with neighborhood-level redlining (FDR & lt;0.1). The majority of genes are implicated in carcinogenesis including genes in immune function (BANP, IGDCC3, GPR15), oncogenic signaling (IGFALS, RNLS, RTP3), and angiogenesis (ANGPT1). Further exploration of these 36 CpG sites revealed no interactions by ER status, no probes were associated with all-cause mortality. Conclusions: We identified novel associations between neighborhood-level redlining and the breast tumor DNA methylome. Our data are the first to show that structural racism impacts the breast tumor epigenome. Citation Format: Jasmine M Miller-Kleinhenz, Leah Moubadder, Kirsten M. Beyer, Yuhong Zhou, Anne H. Gaglioti, Jazib Gohar, Lindsay J. Collin, Kashari Henry, Karen M. Conneely, Uma Krishnamurti, Olivia D'Angelo, Keerthi Gogineni, Mylin Torres, Sheryl Gabram-Mendola, Lauren E. McCullough. Neighborhood-level redlining-associated methylation in breast tumors: The impact of structural racism on the tumor epigenome [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PR-03.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
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  • 2
    Online Resource
    Online Resource
    American Association for Cancer Research (AACR) ; 2022
    In:  Cancer Epidemiology, Biomarkers & Prevention Vol. 31, No. 1_Supplement ( 2022-01-01), p. PO-173-PO-173
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 31, No. 1_Supplement ( 2022-01-01), p. PO-173-PO-173
    Abstract: Introduction: Breast cancer mortality in the US is 40% higher among Black than White women. Even among patients with prognostically favorable tumors, disparities persist, suggesting clinical features do not fully account for mortality differences. Area-level factors (e.g., rurality) influence health outcomes and may explain spatial variation in mortality disparities. Rurality can impact access to and quality of care, and socioeconomic status. Georgia is an ideal place to study spatial heterogeneity in race disparities because of the diverse population ( & gt;30% Black), large number of counties (159), and pronounced disparities in breast cancer mortality in the Atlanta area. Methods: Race-specific standardized mortality ratios (SMRs) were calculated for each county in Georgia to account for sparsely populated areas and areas with high residential segregation. Observed deaths among women diagnosed with localized or regional breast cancer between 2005 and 2013 were obtained from the Georgia Cancer Registry. To ensure equal follow-up, only deaths within five years of diagnosis were included. Expected deaths were estimated using race-specific population counts, race-specific breast cancer incidence rates, and the pooled (Black and White) mortality rate among Georgia women, with indirect age adjustment (20–44, 45–54, 55+ years). Spatial smoothing methods, including adding neighboring data to meet a threshold and Bayesian models with conditionally autoregressive priors, were used to stabilize local estimates. Counties were classified by 2013 RUC codes (urban: 1–3, rural: 4–9). Results: A total of 3,235 breast cancer deaths were observed during the study period, with 42% among Black women. The median SMR was lower for White (0.8, IQR: 0.7, 1.1) than Black women (1.4, IQR: 1.1, 2.0). Among Black women only, median SMR was greater in rural (1.7, IQR: 1.1, 2.5) than urban counties (1.3, IQR: 1.1, 1.6). After sequentially adding neighboring data to meet a race-specific threshold of 30 observed deaths, smoothed median SMRs were 0.9 (IQR: 0.8, 0.9) and 1.4 (IQR: 1.2, 1.6) for White and Black women, respectively. For Black women, median SMR was attenuated in rural counties (1.4, IQR: 1.2, 1.7) but unchanged in urban counties (1.3, IQR: 1.2, 1.5). The greatest SMRs for Black women were observed in urban counties comprising the Atlanta area and rural southeast Georgia. For example, Fulton County SMRs were 1.6 and 0.7, for Black and White women, respectively. Highest SMRs for White women were observed in southwest Georgia, but were similar to SMRs among Black women in this region. The spatial distribution of SMRs using same neighbor smoothing and Bayesian models were similar. Conclusion: Breast cancer mortality race disparities vary widely across Georgia. These results highlight specific areas for public health intervention, especially among Black women. This work presents a potential mechanism to monitor trends in small area cancer mortality race disparities over time. Future work will model the impact of area-level factors on the disparity magnitude. Citation Format: Rebecca J. Nash, Lauren E. McCullough, T.J. Pierce, Lindsay J. Collin, Anne H. Gaglioti, Kevin C. Ward, Michael Kramer, Jeffrey Switchenko. Spatial heterogeneity and rural-urban differences in the Black-White breast cancer mortality disparity in Georgia [abstract]. In: Proceedings of the AACR Virtual Conference: 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2021 Oct 6-8. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr PO-173.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
    Location Call Number Limitation Availability
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  • 3
    In: Cancer Epidemiology, Biomarkers & Prevention, American Association for Cancer Research (AACR), Vol. 30, No. 1 ( 2021-01-01), p. 53-60
    Abstract: Structural inequities have important implications for the health of marginalized groups. Neighborhood-level redlining and lending bias represent state-sponsored systems of segregation, potential drivers of adverse health outcomes. We sought to estimate the effect of redlining and lending bias on breast cancer mortality and explore differences by race. Methods: Using Georgia Cancer Registry data, we included 4,943 non-Hispanic White (NHW) and 3,580 non-Hispanic Black (NHB) women with a first primary invasive breast cancer diagnosis in metro-Atlanta (2010–2014). Redlining and lending bias were derived for census tracts using the Home Mortgage Disclosure Act database. We calculated hazard ratios and 95% confidence intervals (CI) for the associations of redlining, lending bias on breast cancer mortality and estimated race-stratified associations. Results: Overall, 20% of NHW and 80% of NHB women lived in redlined census tracts, and 60% of NHW and 26% of NHB women lived in census tracts with pronounced lending bias. Living in redlined census tracts was associated with a nearly 1.60-fold increase in breast cancer mortality (hazard ratio = 1.58; 95% CI, 1.37–1.82) while residing in areas with substantial lending bias reduced the hazard of breast cancer mortality (hazard ratio = 0.86; 95% CI, 0.75–0.99). Among NHB women living in redlined census tracts, we observed a slight increase in breast cancer mortality (hazard ratio = 1.13; 95% CI, 0.90–1.42); among NHW women the association was more pronounced (hazard ratio = 1.39; 95% CI, 1.09–1.78). Conclusions: These findings underscore the role of ecologic measures of structural racism on cancer outcomes. Impact: Place-based measures are important contributors to health outcomes, an important unexplored area that offers potential interventions to address disparities.
    Type of Medium: Online Resource
    ISSN: 1055-9965 , 1538-7755
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2021
    detail.hit.zdb_id: 2036781-8
    detail.hit.zdb_id: 1153420-5
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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