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Optimizing Gene Expression Profiling in Early BC
J Clin Oncol; ePub 2016 Oct 31; Kim, et al
A model that estimates Oncotype DX recurrence score (RS) accurately predicted high- and low-risk RS categories in most early breast cancer cases in a retrospective analysis involving nearly 1,600 individuals.
Investigators looked at ODX RS and pathology reports (n=1,113) from 5 sites over an 8-year period ending in 2013. Ordering patterns at 1 site were analyzed using a model that considered treatment guidelines, immunohistochemistry markers, and Oncotype DX. The findings were validated in a separate group (n=472). Among the results:
- RS distribution was similar at all sites and correlated with clinical practice experience.
- Histopathologic markers alone determined risk category in more than half of cases.
- Applying the model at 1 site showed that the frequency of testing would not have changed overall.
- There would have been less testing of estimated clinically high- or low-risk cases, and more testing of intermediate-risk cases.
- The model correctly predicted risk category in slightly more than half of the validation group.
Kim H, Umbricht C, Illei P, et al. Optimizing the use of gene expression profiling in early-stage breast cancer. [Published online ahead of print October 31, 2016]. J Clin Oncol. doi:10.1200/JCO.2016.67.7195.