An advantage of our model generation strategy using the random forest approach in identifying risk models for PCa recurrence is that the prostate cancer datasets used in this study may also be examined independent of TET2-related parameters, or using differing selection criteria, to generate and characterize novel risk gene models using a similar method. Here, TET2 is linked to prostate carcinoma.