Document Type
Article
Publication Date
2012
Digital Object Identifier (DOI)
https://doi.org/10.1155/2012/941495
Abstract
Introduction. This study aimed to evaluate whether OncotypeDx test results predict receipt of adjuvant chemotherapy in breast cancer patients who received an OncotypeDx recurrence score (RS). Materials and Methods. Pathology records were used to identify breast cancer patients who had OncotypeDx testing between December 2004 and January 2009 (π = 1 1 8). Patient sociodemographic information, tumor characteristics, RS, and treatment-specific data were collected via chart review. RS was classified as follows: low (R S β€ 1 7), intermediate (RSβ=β18β30), or high (R S β₯ 3 1). Bivariate analyses were conducted to investigate the relationship between adjuvant chemotherapy receipt and each sociodemographic and clinical characteristic; significant sociodemographic and clinical variables were included in a multivariable logistic regression model. Results. In multivariable analysis controlling for tumor size, histologic grade, and nuclear grade, only RS remained significantly associated with chemotherapy uptake. Relative to low RS, an intermediate (adjusted odds ratio [AOR], 21.24; 95% confidence interval [CI], 3.62β237.52) or high (AOR, 15.07; 95% CI, 1.28β288.21) RS was associated with a greater odds of chemotherapy uptake. Discussion. Results indicate that RS was significantly associated with adjuvant chemotherapy uptake, suggesting that OncotypeDx results were used to inform treatment decision making, although it is unclear if and how the information was conveyed to patients.
Rights Information
This work is licensed under a Creative Commons Attribution 3.0 License.
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Yes
Citation / Publisher Attribution
Journal of Cancer Epidemiology, v. 2012, art. 941495
Scholar Commons Citation
Malo, Teri L.; Lipkus, Isaac; Wilson, Tobi; Han, Hyo S.; Acs, Geza; and Vadaparampil, Susan T., "Treatment Choices Based on OncotypeDx in the Breast Oncology Care Setting" (2012). Pathology and Cell Biology Faculty Publications. 1.
https://digitalcommons.usf.edu/pcb_facpub/1