Background Breast cancer (BC) is the most common cancer among US women; and institutional racism is a critical cause of health disparities. We investigated impacts of historical redlining on BC treatment receipt and survival in the US. Methods Home Owners’ Loan Corporation (HOLC) boundaries were used to measure historical redlining. Eligible women in the 2010-2017 SEER-Medicare BC Cohort were assigned an HOLC grade. The independent variable was a dichotomized HOLC grade: A/B (non-redlined), and C/D (redlined). Outcomes of receipt of various cancer treatments, all-cause mortality (ACM), and BC-specific mortality (BCSM) were analyzed using logistic or Cox models. Indirect effects by comorbidity were examined. Results Among 18,119 women, 65.7% resided in historically redlined areas (HRAs) and 32.6% were deceased at a median follow-up of 58 months. A larger proportion of deceased women resided in HRAs (34.5% vs 30.0%). Of all deceased women, 41.6% died of BC; a larger proportion residing in HRAs (43.4% vs 37.8%). Historical redlining significantly predicted poorer survival after BC diagnosis; HR [95%CI] = 1.09 [1.03-1.15] for ACM, and 1.26 [1.13-1.41] for BCSM. Indirect effects via comorbidity were identified. Historical redlining was associated with a lower likelihood of receiving surgery; OR [95%CI] = 0.74 [0.66-0.83], and a higher likelihood of receiving palliative care OR [95%CI] = 1.41 [1.04-1.91]. Conclusion Historical redlining is associated with differential treatment receipt and poorer survival for ACM and BCSM. Relevant stakeholders should consider historical contexts when designing/implementing equity-focused interventions to reduce BC disparities. Clinicians should advocate for healthier neighborhoods while providing care.
1095 Background: Cancer is the second leading cause of morbidity and mortality in the US. Systemic racism is a critical cause of health disparities and historically disadvantaged people experience poor outcomes including poor breast cancer (BC) survival. This study aims to investigate the impact of historical redlining on all-cause and BC-specific survival among older women in the US. Methods: Historic 1930’s Homeowner’s Loan Corporation (HOLC) boundaries and grades were linked to 2010 Census tracts and the 2010-2017 SEER Medicare BC cohort. Women were included if they were 66+ years old at diagnosis, diagnosed with invasive BC, enrolled in Medicare Part A and Part B for 12 months prior to diagnosis to calculate comorbidity, and a Census tract match for HOLC grade. The independent variable was HOLC grade in two categories: A and B(not redlined), and C and D(redlined). The outcomes were all-cause and BC-specific survival, determined by Kaplan Meier Survival curves and both unadjusted and adjusted Cox regression models. End point for censoring was 12/31/2019 (all-cause) and 12/31/2018 (BC-specific). The final models were stratified by age and tumor stage at diagnosis; and adjusted for comorbidity, race and ethnicity, hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status, and interaction term between comorbidity and race. Results: Among 10,113 women, 62.8% resided in historically redlined Census tracts. At a mean (+SD) follow-up time of 48.5 (+28.8) months, 28.9% were deceased; 41.6% of which died of BC. Women residing in historically redlined census tracts experienced poorer BC survival (49.8 +28.2 months) than those residing in non-redlined Census tracts (57.8 +30.7 months). After controlling for covariates, residing in a historically redlined Census tract remained an independent predictor of higher mortality: HR (95%CI) = 1.11 (1.02, 1.20) and 1.24 (1.011, 1.39) for all-cause mortality and BC-specific mortality, respectively. Conclusions: Residing in a formerly redlined Census tract at the time of BC diagnosis is associated with worse all-cause and BC-specific mortality, even after stratifying/adjusting for important patient and tumor characteristics. Public health and government agencies stakeholders should consider historical contexts when designing and implementing equity-focused community and clinical interventions targeted at mitigating and reducing BC disparities and improving health equity.
TPS12138 Background : Cardiotoxicity is a significant challenge associated with common first-line breast cancer (BC) chemotherapy (CTx) treatments including anthracyclines (AC) and targeted therapies, such as anti-Her-2 therapy. For targeted therapies, cardiac complications typically resolve once treatment is completed or stopped. For ACs, treatment may lead to permanent long term cardiac damage, and elevated risk for major adverse cardiovascular events (MACE). Black/African American (B/AA) women are at higher risk for AC-based cardiotoxicity compared to Non-Hispanic White (NHW) women. To date, most efforts have targeted managing and defining mechanisms of large vessels and cardiac damage. However, impaired microvascular function, a powerful but clinically underused predictor of future MACE, may also be implicated. Extensive evidence shows that exercise interventions reduce systemic inflammation and possibly MACE. However, few cardio-oncology studies have utilized exercise to mitigate cardiotoxicity, and none have quantified microvascular endothelial function. A further gap in cardio-oncology research is a paucity of studies focused on understanding and addressing disparities. This research project aims to 1) test the feasibility and efficacy of an exercise intervention designed to mitigate the effects of CTx, Take Charge during Treatment (TCT) and 2) examine the influence of socio-ecological factors on endothelial function in response to an exercise intervention. Methods: B/AA (n=50) and NHW (n=50) women diagnosed with non-metastatic BC, scheduled to receive AC and/or anti-HER-2 therapy, will be recruited and randomized to participate in the TCT intervention or usual care (NCT05223322). TCT is a virtual exercise coaching program with weekly coaching sessions, six of which include supervised exercise. Assessments to assess socio-ecologic and vascular outcomes are presented in the Table. Assessments will be completed prior to treatment (T1), after treatment completion (18-24 weeks, T2), and 12-months post treatment (T3). Clinical trial information: NCT05223322. [Table: see text]
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