University of Ottawa, Ottawa, ON, Canada
Moira Katherine Rushton , Tinghua Zhang , Xinni Song
Background: Triple negative breast cancer (TNBC) is a heterogeneous disease characterized by the lack of receptor expression (ER, PR, and HER2/neu negative). Amongst breast cancer types TNBC has a less favourable prognosis. There is a higher incidence of TNBC in African-American women than Caucasian women. What has not been clearly elucidated is whether survival outcomes are different among women with TNBC from different ethnic background. Methods: The objective of our study was to determine if significant differences exist in overall survival (OS) of TNBC patients across various ethnicities, including but not limited to Caucasian, African-American, and Asian. Using population data a multivariate analysis was done to take into account age, stage, and treatments received. Results: Using data from SEER database 6,227 cases of TNBC across all ethnicities were reported in 2010. At year one of follow-up, mortality rate was 2.6% (n=162) Race was found to be a potential predictor of breast cancer mortality with a mortality rate of 3.13% in American Indian/Alaskan Native and Pacific Islander patients; 2.75% in black patients; 2.6% in white patients. When adjusted for age and stage at time of diagnosis in multivariate analysis, there was no significant difference in OS for any ethnicity when compared to Caucasian patients. Specifically black TNBC patients had an OR 1.089 (p=0.69) and Asian patients OR 1.084 (p=0.87). Conclusions: While there was some suggestion that there was a higher one year breast cancer mortality rate in some populations, in multivariate analysis this was not a significant finding. Longer follow-up is needed before conclusions can be made about differences between ethnic groups. We are planning to review other large population databases to gather a greater pool of data to answer this question. Determining if there are certain populations do worse will inform the medical oncology community of an area to focus greater study to determine how to optimize therapies for that patient group.
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