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Outcomes of Very-High-Risk Prostate Cancer: Validation Study from 3 Institutions over 10 years

Login to Access Video or Poster Abstract: MP20-18
Sources of Funding: none

Introduction

Among men with localized high-risk prostate cancer (PCa), patients who met very-high-risk (VHR) criteria were shown to experience inferior outcomes after radical prostatectomy (RP) in a previous single institution study. Using a multi-institutional dataset, here we compared pathologic and oncologic outcomes between men with high-risk and VHR PCa who underwent RP between 2005-2015.

Methods

High-risk PCa was defined as biopsy Gleason pattern 8-10, PSA >20 ng/ml, or clinical stage T3-4. VHR PCa was defined according to pre-treatment criteria: primary Gleason pattern 5 on biopsy; or ? 5 cores containing Gleason sum 8-10; or multiple high-risk features. Pathologic outcomes by risk classification were compared using Chi-squared testing, and oncologic outcomes (biochemical recurrence - BCR, metastasis - METS, cancer specific mortality - CSM, and overall mortality - OM) were assessed using Cox proportional hazards models. Multivariable models included age, race, institution, and neoadjuvant androgen deprivation therapy as covariates.

Results

Among 1776 high-risk patients, 547 (30.8%) met VHR criteria. As compared to the high-risk cohort, VHR men had inferior pathologic outcomes. Positive margins: 38% vs 25%. Stage pT3b-4: 46% vs 17%. Stage pN1: 41% vs 15%. (P<0.001 for all comparisons). Over a median follow-up of 3 years, VHR PCa patients also had higher adjusted hazard ratios for BCR (2.32), METS (3.87), CSM (4.14), and OM (2.66). (P<0.001 for all comparisons).

Conclusions

In a multi-institutional experience of 1776 men who underwent treatment for high-risk PCa over a 10-year period, VHR cancer was strongly associated with adverse pathologic and oncologic outcomes as compared to high-risk disease. These findings serve to validate the prognostic significance of VHR PCa as a distinct entity from high-risk PCa, suggesting that VHR criteria should be considered during patient counseling and as a potential risk stratification tool in clinical trials.

Funding

none

Authors
Debasish Sundi
Jeffrey Tosoian
Yaw Nyame
Mary Achim
Ridwan Alam
Chandana Reddy
Lamont Wilkins
Amol Narang
Andrew Stephenson
John Davis
Edward Schaeffer
Ashley Ross
Eric Klein
Brian Chapin
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