This document discusses gene expression profiling in breast cancer and its use in classifying tumor subtypes. It describes how gene expression profiling analyzes thousands of genes simultaneously to more accurately classify tumors. Breast cancer is classified into clinical subtypes based on receptor expression, including luminal, HER2-enriched, and basal subtypes. Gene signatures can provide prognostic information to help guide treatment decisions for early-stage breast cancer patients. Tests like Oncotype DX and Mammaprint analyze gene expression from tumor samples to predict the risk of recurrence.