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. 2025 Jun 3;34(6):895-903.
doi: 10.1158/1055-9965.EPI-24-1398.

Racialized Economic Segregation, Treatment, and Outcomes in Women with Triple-Negative Breast Cancer

Affiliations

Racialized Economic Segregation, Treatment, and Outcomes in Women with Triple-Negative Breast Cancer

Stanton Davis et al. Cancer Epidemiol Biomarkers Prev. .

Abstract

Background: We previously demonstrated differences in treatment and mortality between non-Hispanic Black (NHB) and non-Hispanic White (NHW) women with triple-negative breast cancer (TNBC). The impact of residential segregation on TNBC treatment and outcomes remains unknown.

Methods: We identified NHB and NHW women with TNBC diagnosed from 2010 to 2015 and followed through 2016, using the Surveillance, Epidemiology, and End Results dataset. County-level racialized economic segregation was measured using the index of concentration at the extremes. Multilevel Cox regression and multilevel logistic regression accounting for county-level clustering were used to calculate HRs and ORs.

Results: Of 25,217 patients, 25.6% were NHB. Compared with patients in counties with the highest concentration of high-income NHW residents (most privileged), patients in counties with the highest concentration of low-income NHB residents (most deprived) had significantly higher risks of breast cancer-specific mortality [HR = 1.14; 95% confidence interval (CI), 1.01-1.30; Ptrend = 0.12], overall mortality (HR = 1.15; 95% CI, 1.02-1.29; Ptrend = 0.06), and late-stage diagnosis (OR = 1.15; 95% CI, 1.01-1.32; Ptrend = 0.03). Overall, 28.2%, 24.5%, and 18.3% of excess risks of breast cancer mortality, overall mortality, and late-stage diagnosis in NHB (vs. NHW) patients were explained by residential segregation. There was no significant association between residential segregation and treatment.

Conclusions: Living in the most deprived versus privileged neighborhoods was associated with lower likelihoods of early detection and survival of patients with TNBC, contributing to TNBC outcome disparities between NHBs and NHWs.

Impact: This highlights the importance of breast cancer screening for neighborhoods with predominantly low-income NHB residents and elucidating the pathways linking segregation to TNBC prognosis.

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Conflict of interest statement

Conflict of Interest Disclosure: The authors declared no potential conflicts of interest

Figures

Figure 1.
Figure 1.
Flowchart of study inclusion. Flow chart for case exclusion and the number of cases included in each analysis.
Figure 2.
Figure 2.
Association between racialized economic segregation and mortality among non-Hispanic White women and non-Hispanic Black women with triple-negative breast cancer. Note: The models were stratified by age and adjusted for race, type of health insurance, marital status, rural residence, SEER cancer registries, cancer stage, tumor grade, surgical treatment, radiation therapy, and chemotherapy. Abbreviation: HR, hazard ratio; CI, confidence interval.
Figure 3.
Figure 3.
Association between racialized economic segregation and late-stage triple-negative breast cancer diagnosis among non-Hispanic White women and non-Hispanic Black women. Note: The models were adjusted for age, race, type of health insurance, marital status, rural residence, and SEER cancer registries. Abbreviation: OR, odds ratio; CI, confidence interval.
Figure 4.
Figure 4.
Associations between racialized economic segregation and the odds of surgical resection and adjuvant therapies for triple-negative breast cancer. Note: The analyses of surgical resection were adjusted for cancer stage in addition to age, race, type of health insurance, marital status, rural residence, SEER cancer registries, and cancer stage. The models of radiation therapy and chemotherapy were further adjusted for tumor grade and type of surgery. Abbreviation: OR, odds ratio; CI, confidence interval.

References

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