Accurate prediction of risk and personalized approaches to prevention of breast cancer or its recurrence are needed to reduce both cost of treatment and morbidity.
We have developed gene expression signatures that distinguish premalignant breast lesions in women providing biomarkers to improve diagnosis and identify therapeutic targets.