A Principal Component Analysis (PCA) was applied to a dataset comprising gene expression data from ER+ BRCA, AR+ TNBC and PRAD tumor tissue samples, along normal tissue samples from breast and prostate patients. The gene discussed is AR; the disease is prostate adenocarcinoma.