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A perfect storm: How tumor biology, genomics, and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change
Open accessAbstract
It is well known that there is a significant racial divide in breast cancer incidence and mortality rates. African American women are less likely to be diagnosed with breast cancer than white women but are more likely to die from it. This review explores the factors that may contribute to the racial survival disparity. Consideration is paid to what is known about the role of differences in tumor biology, genomics, cancer screening, and quality of cancer care. It is argued that it is the collision of 2 forces, tumor biology and genomics, with patterns of care that leads to the breast cancer mortality gap. The delays, misuse, and underuse of treatment for African American patients are of increased significance when these patients are presenting with more aggressive forms of breast cancer. In the current climate of health care reform ushered in by the Affordable Care Act, this article also evaluates interventions to close the disparity gap. Prior interventions have been too narrowly focused on the patient rather than addressing the system and improving care across the continuum of breast cancer evaluation and treatment. Lastly, areas of future investigation and policy initiatives aimed at reducing the racial survival disparity in breast cancer are discussed. CA Cancer J Clin 2015;65: 221–238. © 2015 American Cancer Society.
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ATP-citrate lyase links cellular metabolism to histone acetylation
Wellen, K. E., Hatzivassiliou, G., Sachdeva, U. M., Bui, T. V., Cross, J. R., & Thompson, C. B. (2009) · Science · doi:10.1126/science.1164097 · Cited by 2,298
The Oregon Experiment — Effects of Medicaid on Clinical Outcomes
Baicker, K., Taubman, S. L., Allen, H. L., Bernstein, M., Gruber, J. H., Newhouse, J. P., Schneider, E. C., Wright, B. J., Zaslavsky, A. M., & Finkelstein, A. N. (2013) · New England Journal of Medicine · doi:10.1056/nejmsa1212321 · Cited by 1,150
Nonadherence to adjuvant tamoxifen therapy in women with primary breast cancer
Partridge, A. H., Wang, P. S., Winer, E. P., & Avorn, J. (2003) · Journal of Clinical Oncology · doi:10.1200/jco.2003.07.071 · Cited by 676
MYC-driven accumulation of 2-hydroxyglutarate is associated with breast cancer prognosis
Terunuma, A., Putluri, N., Mishra, P., Mathé, E. A., Dorsey, T. H., Yi, M., Wallace, T. A., Issaq, H. J., Zhou, M., Killian, J. K., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci71180 · Cited by 428
Eliminating racial disparities in colorectal cancer in the real world: It took a village
Grubbs, S. S., Polite, B. N., Carney, J., Bowser, W., Rogers, J., Katurakes, N., Hess, P., & Paskett, E. D. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.47.8412 · Cited by 201
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The impact of site-specific digital histology signatures on deep learning model accuracy and bias
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Self-citationHand, T., Rosseau, N. A., Stiles, C. E., Sheih, T., Ghandakly, E., Oluwasanu, M., & Olopade, O. I. (2021) · Global Health Action · doi:10.1080/16549716.2021.1883336 · Cited by 47
Self-citationChristensen, E. W., Waid, M., Scott, J., Patel, B. K., Bello, J. A., & Rula, E. Y. (2023) · Radiology · doi:10.1148/radiol.221153 · Cited by 20
Metadata
- Authors
- Daly, B., & Olopade, O. I.
- Venue
- CA: A Cancer Journal for Clinicians
- Publisher
- Wiley
- Published
- 2015-04-09
- Volume
- 65
- Issue
- 3
- Pages
- 221-238
- ISSN
- 0007-9235 (ISSN-L)
- 1542-4863
- OpenAlex
- W1741446987
- Cited by
- 327
- References
- 5
- FWCI
- 12.35
- Type
- journal article
- Language
- en
- Open access
- gold
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- Daly, B., & Olopade, O. I. (2015). A perfect storm: How tumor biology, genomics, and health care delivery patterns collide to create a racial survival disparity in breast cancer and proposed interventions for change. CA: A Cancer Journal for Clinicians. https://doi.org/10.3322/caac.21271
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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