Disclosed is a
gene expression panel that can be used to predict
prostate cancer (PCa) progression. Some embodiments provide methods for predicting clinical recurrence of PCa. Some embodiments provide a method for predicting progression of
prostate cancer in an individual, the method comprising: (a) receiving expression levels of a collection of signature genes from a biological sample taken from said individual, wherein said collection of signature genes comprises at least two genes selected from the group consisting of: NKX2-1, UPK1A, ADRA2C, ABCC11, MMP11, CPVL, ZYG11A, CLEC4F, OAS2, PGC, UPK3B, PCBP3, ABLIM1,
EDARADD, GPR81, MYBPC1, F10, KCNA3, GLDC, KCNQ2, RAPGEF1, TUBB2B, MB, DUOXA1, C2orf43, DUOX1, PCA3 and NPR3; (b) applying the expression levels to a predictive model relating expression levels of said collection of signature genes with
prostate cancer progression; and (c) evaluating an output of said predictive model to predict progression of
prostate cancer in said individual. Systems are also provided for predicting progression and / or recurrence of PCa.