Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2021 Oct 1.
Published in final edited form as: Cancer Epidemiol Biomarkers Prev. 2021 Apr;30(4):800. doi: 10.1158/1055-9965.EPI-20-1837

Redlining, lending bias and breast cancer mortality—Response

Lindsay J Collin 1, Lauren E McCullough 2
PMCID: PMC8133375  NIHMSID: NIHMS1669654  PMID: 33811168

We thank Gabriel et al. for their appreciation of our investigation of redlining and lending bias as important contributors to breast cancer mortality.(1) In their letter, Gabriel et al. raised questions regarding the role of redlining and lending bias on specific factors preceding diagnosis and following diagnosis that may identify targets for intervention, thereby reducing disparities.

In our study, we examined the association between redlining, lending bias, and breast cancer mortality.(1) We were unable to explore how these place-based measures of structural racism impact access to primary care and screening programs. As noted by the authors, stage IV diagnoses were more common among women who resided in redlined neighborhoods, likely reflecting reduced access to care in these areas. A recent study in Massachusetts reported that historic redlining was associated with late-stage at diagnosis for multiple cancer sites.(2) Additional research would benefit from investigation into how neighborhood deprivation affects screening and diagnostic delay.

Gabriel et al. inquired whether components of care were associated with worse outcomes in our cohort. We have previously investigated the impact of guideline-concordant care on racial disparities in breast cancer mortality.(3) We found that non-Hispanic Black (NHB) women were more likely to receive guideline-concordant care compared with non-Hispanic White (NHW) women, and that failure to receive guideline-concordant care was associated with increased breast cancer mortality. Yet, NHB women had a 2-fold increase in breast cancer mortality compared with their NHW counterparts. To our knowledge, neighborhood deprivation indices have not been examined in relation to the receipt of guideline-concordant care, treatment delays, or quality of care, which are important to identify actionable targets. Although our study also supports the need for larger systemic changes.(4)

Gabriel et al. noted the association between redlining and breast cancer mortality was less pronounced among NHB compared with NHW women (HR=1.13 vs. HR=1.39) suggesting that redlining has a stronger association with breast cancer mortality than race. Table 3 provides both the common referent and race-stratified estimates. The former highlights that NHW women experienced similarly poor outcomes if they live in redlined neighborhoods. However, NHB women in non-redlined neighborhoods did not confer the same benefit. NHB women had more than a 2-fold increase in breast cancer mortality, regardless of the location of residence, which likely reflects the historical context of these systemic inequities. Our findings underscore the need to fully characterize residential history to understand the role of structural racism on breast cancer mortality.(4)

Acknowledgements:

This this work was supported, in part, by the Komen Foundation (CCR19608510) awarded to Lauren E McCullough. Lindsay J. Collin was supported, in part, by the National Cancer Institute (F31CA239566) and the National Center for Advancing Translational Sciences (TL1TR002540) of the National Institutes of Health.

Abbreviations list:

HR

hazard ratio

NHB

non-Hispanic Black

NHW

non-Hispanic White

Footnotes

Conflicts of Interest: The authors declare no conflicts of interest.

References

  • 1.Collin LJ, Gaglioti AH, Beyer KM, Zhou Y, Moore MA, Nash R, et al. Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area. Cancer Epidemiol Biomarkers Prev. 2020. October 2; [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Krieger N, Wright E, Chen JT, Waterman PD, Huntley ER, Arcaya M. Cancer Stage at Diagnosis, Historical Redlining, and Current Neighborhood Characteristics: Breast, Cervical, Lung, and Colorectal Cancers, Massachusetts, 2001–2015. American Journal of Epidemiology. 2020. October 1;189(10):1065–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Collin LJ, Yan M, Jiang R, Gogineni K, Subhedar PD, Ward KC, et al. Receipt of guideline-concordant care does not explain breast cancer mortality disparities by race in Metropolitan Atlanta. J Natl Compr Canc Netw. In press; [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Bailey ZD, Feldman JM, Bassett MT. How Structural Racism Works — Racist Policies as a Root Cause of U.S. Racial Health Inequities. New England Journal of Medicine. 2020. December 16;0(0):null. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES