Before revision:  We demonstrated that these feature scores are significantly prognostic for time to event endpoints (biochemical recurrence and cancer-specific survival) and have simultaneously molecular biologic associations to relevant genomic alterations and molecular subtypes using already trained DL models that are not exposed to the datasets of the current study.
After revision:  We demonstrated that these feature scores are significantly prognostic for time to event endpoints (biochemical recurrence and cancer-specific survival) and have simultaneously molecular biologic associations to relevant genomic alterations and molecular subtypes using already trained DL models that were not previously exposed to the datasets of the current study.