Abstract
Breast cancer (BC) has emerged as a deadly disease that affects the lives of millions of women worldwide. It is the second leading cause of cancer-related deaths in the United States. Advancements in BC screening, preventive measures and treatment have resulted in significant decline in BC related deaths. However, unacceptable levels of racial disparity have been consistently reported, especially in African-American (AA) women compared to European American (EA). AA women go through worse prognosis, shorter survival time and higher mortality rates, despite higher cancer incidence reported in EA. These disparities are independent of socioeconomic status, access to healthcare or age, or even the stage of BC. Recent race-specific genetic and epigenetic studies have reported biological causes, which form the crux of this review. However, the developments are just the tip of the iceberg. Prioritizing primary research towards studying race-specific tumor microenvironment and biological composition of the host system in delineating the cause of these disparities is utmost necessary to ameliorate the disparity and design appropriate diagnosis/treatment regimen for AA women suffering from BC. In this review article, we discuss emerging trends and exciting discoveries that reveal how genetic/epigenetic circuitry contributed to racial disparity and discussed the strategies that may help in future therapeutic development.
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We would like to thank other Cancer Research Unit members for valuable suggestions and helpful comments on this manuscript. This work was supported by Merit Review Grant from the Department of Veterans Affairs (S.K.B. and S.B.)
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VG and IH performed the literature search and wrote the initial draft of the manuscript, Jinia Chakraborty and SG helped revise the draft. Sushanta K Banerjee and Snigdha Banerjee revised it critically for important intellectual content.
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Gupta, V., Haque, I., Chakraborty, J. et al. Racial disparity in breast cancer: can it be mattered for prognosis and therapy. J. Cell Commun. Signal. 12, 119–132 (2018). https://doi.org/10.1007/s12079-017-0416-4
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DOI: https://doi.org/10.1007/s12079-017-0416-4