| 摘要 |
The present disclosure provides a method for cancer relapse prediction that provides higher resolution grading than Gleason score alone. In particular, the method provides for prediction of prostate cancer relapse that correlates gene expression of each individual signature gene and deriving a prostate cancer gene expression (GEX) score in the plurality of prostate cancer tissue samples; and correlating said GEX score with the clinical outcome for each prostate carcinoma tissue sample. A set of signature genes is provided that encompasses all or a sub-combination of GI_2094528, KIP2, NRG1, NBL1, Prostein, CCNE2, CDC6, FBP1, HOXC6, MKI67, MYBL2, PTTG1, RAMP, UBE2C, Wnt5A, MEMD, AZGP1, CCK, MLCK, PPAP2B, and PROK1. |
