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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.

Citation:

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.