Determining XXXX -specific death through quantification of @entity189 area in prostatectomy specimens.

@entity5 @entity1 @entity263 @entity189
We previously reported that reactive stroma grading in @entity263 ( @entity263 ) is predictive of biochemical recurrence in prostatectomies and biopsies. In this study, we tested whether quantifying the percentage of reactive stromal grade 3 (RSG 3; @entity189 pattern) in the entire @entity5 is predictive of @entity263 -specific death. Whole-mount prostatectomies operated by a single surgeon obtained between 1983 and 1998 were reviewed. Reactive stroma was evaluated as described previously, and areas of RSG 3 in the entire @entity5 were registered as percentages of total @entity5 . Statistical analysis was performed using Spearman, Kaplan-Meier, and Cox analyses. In all, 872 cases were evaluable. Quantification of RSG 3 percentage was an independent predictor of biochemical recurrence, analyzed as a continuous or grouped variable. @entity1 with higher RSG 3 percentages (larger @entity5 areas with RSG 3) had a significantly decreased biochemical recurrence-free survival than those with a lower RSG 3 percentage, even within the Gleason score 7 subset of @entity1 . A nomogram introduced this new variable to the model. Furthermore, quantification of RSG 3 percentage was significantly predictive of @entity263 -specific death. Quantification of the RSG 3 ( @entity189 ) area in @entity263 provides additional novel information on prognosis. These data substantiate the concept that the @entity5 microenvironment holds significant predictive information, as well as biological significance.
