Methods for treating breast cancer

A method of treating a human subject with breast cancer with a taxane, wherein the taxane has been identified as being predicted to be efficacious for the human subject, the method comprising:

• measuring RNA expression from a human breast cancer tissue sample by using a microarray or amplification process of a set of genes consisting of ASPM, NCAPG, CDKN3, AURKA, FOXM1, CEP55, TNFRSF6B, FGFBP1, CAPRIN2, TUBG1, ZWILCH, RRM2, ACTB, ACTN1, EPHA2, TRIP13, CKS2, VRK1, DUSP4, EIF4A1, SERPINE2, and ODC1 to produce an RNA expression profile of the set of genes;
• performing hierarchical clustered analysis on the produced RNA expression profile from the human breast cancer tissue to a hierarchical clustered dataset comprising patients that have responded to the taxane, wherein the hierarchical clustered dataset is a gene expression profile set consisting of ASPM, NCAPG, CDKN3, AEIRKA, FOXM1, CEP55, TNFRSF6B, FGFBP1, CAPRIN2, TUBG1, ZWILCH, RRM2, ACTB, ACTN1, EPHA2, TRIP13, CKS2, VRK1, DUSP4, EIF4A1, SERPINE2, and ODC1;
• predicting that the taxane will be efficacious for the subject if the RNA expression profile from the human breast cancer tissue sample matches the hierarchical clustered dataset comprising patients that have responded to a taxane;
• and
• administering a therapeutically effective amount of the taxane to the human subject that has been identified as being predicted to be efficacious for taxane treatment.