Assessing the impact of socio-economic variables on breast cancer treatment outcome disparity.
BACKGROUND
We studied Surveillance, Epidemiology and End Results (SEER) breast cancer data of Georgia USA to analyze the impact of socio-economic factors on the disparity of breast cancer treatment outcome.


METHODS
This study explored socio-economic, staging and treatment factors that were available in the SEER database for breast cancer from Georgia registry diagnosed in 2004-2009. An area under the receiver operating characteristic curve (ROC) was computed for each predictor to measure its discriminatory power. The best biological predictors were selected to be analyzed with socio-economic factors. Survival analysis, Kolmogorov- Smirnov 2-sample tests and Cox proportional hazard modeling were used for univariate and multivariate analyses of time to breast cancer specific survival data.


RESULTS
There were 34,671 patients included in this study, 99.3% being females with breast cancer. This study identified race and education attainment of county of residence as predictors of poor outcome. On multivariate analysis, these socio-economic factors remained independently prognostic. Overall, race and education status of the place of residence predicted up to 10% decrease in cause specific survival at 5 years.


CONCLUSIONS
Socio-economic factors are important determinants of breast cancer outcome and ensuring access to breast cancer treatment may eliminate disparities.
FROS Radiation Oncology CyberKnife Center, 40-20 Main St., 4 Fl, Flushing NY, USA E-mail : cheung.r100@gmail.com.
Min Rex
MR
Cheung
D001943:Breast Neoplasms / Q000208:ethnology / Q000401:mortality / Q000628:therapy*; D005006:Ethnicity / Q000706:statistics & numerical data*; D005260:Female; D005500:Follow-Up Studies; D054625:Healthcare Disparities; D006801:Humans; D009367:Neoplasm Staging; D011379:Prognosis; D012372:ROC Curve; D018426:SEER Program; D012959:Socioeconomic Factors; D018709:Statistics, Nonparametric; D015996:Survival Rate