CP and neoplasm: To ascertain whether EMAT clustering provides prognostic information beyond what is captured by the intrinsic subtypes, we trained a Cox regression model (CRM) on the LNN samples from the METABRIC dataset using four types of predictors: (1) clinical parameters (CP, including age, tumor size, tumor grade, adjuvant chemotherapy, hormone therapy, or radiotherapy), (2) CP and receptor status, (3) CP and PAM50 subtype status, and (4) CP and EMAT cluster status.