Mouse study predicts cancer drug responsiveness in human tumors
UNC scientists used GEMMs to develop biomarkers for challenging molecular subtypes of human breast cancer, those for which there are fewer targets and therapies. Their work helps to further establish genetically engineered mouse models as predictors of human response to therapy. The molecular subtypes of breast cancer that the UNC group focused on — basal-like, luminal B, and claudin-low — are the most challenging types of breast cancer because these are tumors that don’t typically respond to drugs such as Herceptin or aromatase inhibitors. UNC was among the first to characterize these tumor subtypes, and this new report extends the understanding of them. …