查看文章

Data from microarray studies have been used to develop predictive models for treatment outcome in breast cancer, such as a recently proposed predictive model for antiestrogen response after tamoxifen treatment that was based on the expression ratio of two genes. We attempted to validate this model on an independent cohort of 58 patients with resectable estrogen receptor–positive breast cancer. We measured expression of the genes HOXB13 and IL17BR with real time–quantitative polymerase chain reaction and assessed the association between their expression and outcome by use of univariate logistic regression, area under the receiver-operating-characteristic curve (AUC), a two-sample t test, and a Mann–Whitney test. We also applied standard supervised methods to the original microarray dataset and to another independent dataset from similar patients to estimate the …