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Cancer Epidemiology, Biomarkers & Prevention
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Letters to the Editor

Redlining, Lending Bias, and Breast Cancer Mortality—Reply

Lindsay J. Collin and Lauren E. McCullough
Lindsay J. Collin
1Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
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  • ORCID record for Lindsay J. Collin
  • For correspondence: lindsay.collin@hci.utah.edu
Lauren E. McCullough
2Department of Epidemiology, Emory University, Atlanta, Georgia.
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DOI: 10.1158/1055-9965.EPI-20-1837 Published April 2021
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We thank Gabriel and colleagues for their appreciation of our investigation of redlining and lending bias as important contributors to breast cancer mortality (1). In their letter, Gabriel and colleagues 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 and colleagues inquired whether components of care were associated with worse outcomes in our cohort. We have investigated previously 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 and colleagues noted the association between redlining and breast cancer mortality was less pronounced among NHB women compared with NHW women (HR, 1.13 vs. 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 nonredlined 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 historic 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).

Authors' Disclosures

L.J. Collin reports grants from NCI during the conduct of the study and NIH outside the submitted work. No disclosures were reported by the other author.

Acknowledgments

This this work was supported, in part, by the Komen Foundation (CCR19608510 to L.E McCullough). L.J. Collin was supported, in part, by the NCI (F31CA239566) and the National Center for Advancing Translational Sciences (TL1TR002540) of the NIH.

Footnotes

  • Cancer Epidemiol Biomarkers Prev 2021;30:800

  • Received December 28, 2020.
  • Revision received January 6, 2021.
  • Accepted January 15, 2021.
  • Published first April 2, 2021.
  • ©2021 American Association for Cancer Research.

References

  1. 1.↵
    1. Collin LJ,
    2. Gaglioti AH,
    3. Beyer KM,
    4. Zhou Y,
    5. Moore MA,
    6. Nash R,
    7. 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 2021;30:53–60.
  2. 2.↵
    1. Krieger N,
    2. Wright E,
    3. Chen JT,
    4. Waterman PD,
    5. Huntley ER,
    6. Arcaya M
    . Cancer stage at diagnosis, historical redlining, and current neighborhood characteristics: breast, cervical, lung, and colorectal cancers, Massachusetts, 2001–2015. Am J Epidemiol 2020;189:1065–75.
    OpenUrl
  3. 3.↵
    1. Collin LJ,
    2. Yan M,
    3. Jiang R,
    4. Gogineni K,
    5. Subhedar PD,
    6. Ward KC,
    7. et al.
    Receipt of guideline-concordant care does not explain breast cancer mortality disparities by race in metropolitan Atlanta. J Natl Compr Canc Netw.
  4. 4.↵
    1. Bailey ZD,
    2. Feldman JM,
    3. Bassett MT
    . How structural racism works — racist policies as a root cause of U.S. racial health inequities. N Engl J Med 2020 Dec 16 [Epub ahead of print].
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Cancer Epidemiology Biomarkers & Prevention: 30 (4)
April 2021
Volume 30, Issue 4
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Redlining, Lending Bias, and Breast Cancer Mortality—Reply
Lindsay J. Collin and Lauren E. McCullough
Cancer Epidemiol Biomarkers Prev April 1 2021 (30) (4) 800; DOI: 10.1158/1055-9965.EPI-20-1837

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Redlining, Lending Bias, and Breast Cancer Mortality—Reply
Lindsay J. Collin and Lauren E. McCullough
Cancer Epidemiol Biomarkers Prev April 1 2021 (30) (4) 800; DOI: 10.1158/1055-9965.EPI-20-1837
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  • Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk—Letter
  • Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area—Letter
  • TDLU Involution and Breast Cancer Risk—Reply
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