Expression profiling of XXXX tissue delineates genes associated with recurrence after prostatectomy.

@entity1 @entity263 @entity18181 @entity5 @entity146
@entity263 is a leading cause of @entity5 death amongst males. The main clinical dilemma in treating @entity263 is the high number of indolent cases that confer a significant risk of overtreatment. In this study, we have performed gene expression profiling of @entity5 tissue specimens from 36 @entity1 with @entity263 to identify transcripts that delineate @entity146 and indolent @entity5 . Key genes were validated using previously published data and by tissue microarray analysis. Two molecular subgroups were identified with a significant overrepresentation of @entity5 from @entity1 with biochemical recurrence in one of the groups. We successfully validated key transcripts association with recurrence using two publically available datasets totaling 669 @entity1 . Twelve genes were found to be independent predictors of recurrence in multivariate logistical regression analysis. @entity18181 gene expression was consistently up regulated in @entity1 with recurrence in all three datasets. Using an independent cohort of 536 @entity263 @entity1 we showed @entity18181 expression to be an independent predictor of recurrence after prostatectomy (HR   =   1.35; p   =   0.009). We identified @entity18181 to be associated with disease recurrence. Prospective studies are needed in order to assess the clinical usefulness of the identified key markers in this study.
