Latent class analysis (LCA), a data-driven technique, was used to identify clinically homogeneous subgroups (“endophenotypes”) of breast cancer from receptor status (hormonal receptor and HER2), clinical, and demographic data and each subgroup was explored using Bayesian networks. This evidence concerns the gene ERBB2 and breast carcinoma.