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Pleasant V. A Public Health Emergency: Breast Cancer Among Black Communities in the United States. Obstet Gynecol Clin North Am 2024; 51:69-103. [PMID: 38267132 DOI: 10.1016/j.ogc.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
While Black people have a similar incidence of breast cancer compared to White people, they have a 40% increased death rate. Black people are more likely to be diagnosed with aggressive subtypes such as triple-negative breast cancer. However, despite biological factors, systemic racism and social determinants of health create delays in care and barriers to treatment. While genetic testing holds incredible promise for Black people, uptake remains low and results may be challenging to interpret. There is a need for more robust, multidisciplinary, and antiracist interventions to reverse breast cancer-related racial disparities.
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Affiliation(s)
- Versha Pleasant
- Department of Obstetrics and Gynecology, Cancer Genetics & Breast Health Clinic, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI 48109, USA.
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Chen JC, Handley D, Elsaid MI, Plascak JJ, Andersen BL, Carson WE, Pawlik TM, Carlos RC, Obeng-Gyasi S. The Implications of Racialized Economic Segregation and Allostatic Load on Mortality in Patients with Breast Cancer. Ann Surg Oncol 2024; 31:365-375. [PMID: 37865937 DOI: 10.1245/s10434-023-14431-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 09/26/2023] [Indexed: 10/24/2023]
Abstract
BACKGROUND The objective of this study was to examine the association between racialized economic segregation, allostatic load (AL), and all-cause mortality in patients with breast cancer. PATIENTS AND METHODS Women aged 18+ years with stage I-III breast cancer diagnosed between 01/01/2012 and 31/12/2020 were identified in the Ohio State University cancer registry. Racialized economic segregation was measured at the census tract level using the index of concentration at the extremes (ICE). AL was calculated with biomarkers from the cardiac, metabolic, immune, and renal systems. High AL was defined as AL greater than the median. Univariable and multivariable regression analyses using restricted cubic splines examined the association between racialized economic segregation, AL, and all-cause mortality. RESULTS Among 4296 patients, patients residing in neighborhoods with the highest racialized economic segregation (Q1 versus Q4) were more likely to be Black (25% versus 2.1%, p < 0.001) and have triple-negative breast cancer (18.2% versus 11.6%, p < 0.001). High versus low racialized economic segregation was associated with high AL [adjusted odds ratio (aOR) 1.40, 95% confidence interval (CI) 1.21-1.61] and worse all-cause mortality [adjusted hazard ratio (aHR) 1.41, 95% CI 1.08-1.83]. In dose-response analyses, patients in lower segregated neighborhoods (relative to the 95th percentile) had lower odds of high AL, whereas patients in more segregated neighborhoods had a non-linear increase in the odds of high AL. DISCUSSION Racialized economic segregation is associated with high AL and a greater risk of all-cause mortality in patients with breast cancer. Additional studies are needed to elucidate the causal pathways and mechanisms linking AL, neighborhood factors, and patient outcomes.
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Affiliation(s)
- J C Chen
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Demond Handley
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
- Secondary Data Core, Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, USA
| | - Mohamed I Elsaid
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, USA
- Secondary Data Core, Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, USA
| | - Jesse J Plascak
- Division of Cancer Prevention and Control, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | | | - William E Carson
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Timothy M Pawlik
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA
| | - Ruth C Carlos
- Division of Radiology, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA
| | - Samilia Obeng-Gyasi
- Division of Surgical Oncology, Department of Surgery, The Ohio State University, Columbus, OH, USA.
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Jenkins BD, Rossi E, Pichardo C, Wooten W, Pichardo M, Tang W, Dorsey TH, Ajao A, Hutchison R, Moubadder L, McCullough LE, Bailey-Whyte M, Ambs S. Neighborhood Deprivation and DNA Methylation and Expression of Cancer Genes in Breast Tumors. JAMA Netw Open 2023; 6:e2341651. [PMID: 37930698 PMCID: PMC10628736 DOI: 10.1001/jamanetworkopen.2023.41651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 09/23/2023] [Indexed: 11/07/2023] Open
Abstract
Importance The biological processes that underlie the association of neighborhood environment with chronic diseases, such as cancer, remain poorly understood. Objective To determine whether differences in breast tissue DNA methylation are associated with neighborhood deprivation among Black and White women with breast cancer. Design, Setting, and Participants This cross-sectional study collected breast tissue from women undergoing surgery for breast cancer between January 1, 1993, and December 31, 2003. Participants were recruited through the University of Maryland Medical Center, with additional collection sites at Baltimore-area hospitals. Data analysis was performed from March 1 through December 1, 2022. Exposure Year 2000 census tract-level socioeconomic deprivation measured via neighborhood deprivation index (NDI) as a standardized score, with Black and White race being ascertained through self-report. Main Outcome and Measures The primary outcome was tissue DNA methylation using genome-wide measurements. The secondary outcome was tissue gene expression. Results Participants included 185 women with breast cancer (110 Black [59.5%], 75 White [40.5%]). Mean (SD) age at surgery was 56.0 (14.1) years. Neighborhood deprivation was higher for Black women than for White women (Mean [SD] NDI, 2.96 [3.03] for Black women and -0.54 [1.91] for White women; difference, -3.50; 95% CI, -4.22 to -2.79; P < .001). In unstratified analysis, 8 hypomethylated CpG sites were identified as associated with the NDI, including sites in 2 tumor suppressor genes, LRIG1 and WWOX. Moreover, expression of the 2 genes inversely correlated with neighborhood deprivation. In the race-stratified analysis, the negative correlation between the LRIG1 gene body CpG site cg26131019 and the NDI remained significant in Black women. A neighborhood deprivation-associated decrease in gene expression was also observed for LRIG1 and WWOX in tumors from Black women. Conclusions and Relevance In this study, high neighborhood deprivation was associated with differences in tissue DNA methylation and gene expression among Black women. These findings suggest that continued investment in public health interventions and policy changes at the neighborhood level may help to remedy biological alterations that could make minoritized populations more susceptible to chronic diseases.
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Affiliation(s)
- Brittany D. Jenkins
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Emily Rossi
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Catherine Pichardo
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
- Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, Maryland
| | - William Wooten
- Department of Biostatistics, University of Maryland School of Medicine, Baltimore, Maryland
| | - Margaret Pichardo
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
- Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Wei Tang
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
- Data Science & Artificial Intelligence, R&D, AstraZeneca, Gaithersburg, Maryland
| | - Tiffany H. Dorsey
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Anuoluwapo Ajao
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
- School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Ruby Hutchison
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
| | - Leah Moubadder
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Lauren E. McCullough
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Maeve Bailey-Whyte
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
- School of Medicine, University of Limerick, Limerick, Ireland
| | - Stefan Ambs
- Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland
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