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Understanding breast cancer disparities-a multi-scale challenge
Hannah E Hill1, William P Schiemann1,2, Vinay Varadan1,2
1Department of Pharmacology, Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Annals of Translational Medicine
|August 15, 2020
Summary
Despite similar breast cancer incidence rates, African American (AA) women face higher mortality than European American (EA) women. This review examines tumor and patient factors contributing to these persistent breast cancer disparities.
Area of Science:
- Oncology
- Health Disparities Research
- Genetics and Genomics
Background:
- Breast cancer incidence rates are converging between European American (EA) and African American (AA) women.
- Significant disparities in breast cancer mortality persist between these populations.
- The underlying causes for these mortality differences are debated, involving genetics and sociodemographic factors.
Purpose of the Study:
- To review the multifactorial influences on breast cancer biology and clinical outcomes.
- To explore both tumor-intrinsic and tumor-extrinsic factors contributing to disparities.
- To highlight the need for integrated, multi-scale research approaches.
Main Methods:
- Literature review of current breast cancer disparities research.
- Synthesis of studies examining genetic, biological, and sociodemographic factors.
- Analysis of factors impacting tumor biology and patient outcomes.
Main Results:
- Breast cancer disparities are influenced by a complex interplay of tumor-intrinsic and extrinsic factors.
- Existing research highlights a range of contributing elements, from genetic predispositions to socioeconomic influences.
- Understanding these factors is crucial for addressing differential clinical outcomes.
Conclusions:
- Addressing persistent breast cancer mortality disparities requires a comprehensive, multi-factorial approach.
- Integrative, multi-scale strategies involving interdisciplinary teams are essential.
- Further research should focus on unifying diverse factors to improve outcomes for all populations.
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