Fig. 1

Subgroup identification and survival analysis of BC patients in the TCGA and GEO datasets. (A) The optimal clustering number in the TCGA dataset was determined to be K = 2, the greater the distance between two samples, the less similar they are, and the smaller the distance, the more similar they are. (B) Survival analysis of BC LR and HR subgroups in the TCGA dataset. The blue curve represents the LR subgroup, the red curve represents the HR subgroup, the X-axis represents survival time counted in years, and the Y-axis represents the survival probability of the corresponding subgroup. The dotted line represents the median survival time and survival probability of the corresponding subtype. (C) The optimal clustering number in the GEO dataset. (D) Survival analysis of LR and HR subgroups of BC in the GEO dataset