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Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis

Background: Cancer-specific survival (CSS) within high-risk non-metastatic prostate cancer varies dramatically. It is likely that within this heterogenous population there are subgroup(s) at extraordinary risk, burdened with an exaptational poor prognosis. Establishing the characteristics of these g...

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Autores principales: Chys, Brecht, Devos, Gaëtan, Everaerts, Wouter, Albersen, Maarten, Moris, Lisa, Claessens, Frank, De Meerleer, Gert, Haustermans, Karin, Briganti, Alberto, Chlosta, Piotr, Gontero, Paolo, Graefen, Markus, Gratzke, Christian, Karnes, R. Jeffrey, Kneitz, Burkhard, Marchioro, Giansilvio, Salas, Rafael Sanchez, Spahn, Martin, Tombal, Bertrand, Van Der Poel, Henk, Walz, Jochen, Van Poppel, Hendrik, Joniau, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068909/
https://www.ncbi.nlm.nih.gov/pubmed/32211317
http://dx.doi.org/10.3389/fonc.2020.00246
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author Chys, Brecht
Devos, Gaëtan
Everaerts, Wouter
Albersen, Maarten
Moris, Lisa
Claessens, Frank
De Meerleer, Gert
Haustermans, Karin
Briganti, Alberto
Chlosta, Piotr
Gontero, Paolo
Graefen, Markus
Gratzke, Christian
Karnes, R. Jeffrey
Kneitz, Burkhard
Marchioro, Giansilvio
Salas, Rafael Sanchez
Spahn, Martin
Tombal, Bertrand
Van Der Poel, Henk
Walz, Jochen
Van Poppel, Hendrik
Joniau, Steven
author_facet Chys, Brecht
Devos, Gaëtan
Everaerts, Wouter
Albersen, Maarten
Moris, Lisa
Claessens, Frank
De Meerleer, Gert
Haustermans, Karin
Briganti, Alberto
Chlosta, Piotr
Gontero, Paolo
Graefen, Markus
Gratzke, Christian
Karnes, R. Jeffrey
Kneitz, Burkhard
Marchioro, Giansilvio
Salas, Rafael Sanchez
Spahn, Martin
Tombal, Bertrand
Van Der Poel, Henk
Walz, Jochen
Van Poppel, Hendrik
Joniau, Steven
author_sort Chys, Brecht
collection PubMed
description Background: Cancer-specific survival (CSS) within high-risk non-metastatic prostate cancer varies dramatically. It is likely that within this heterogenous population there are subgroup(s) at extraordinary risk, burdened with an exaptational poor prognosis. Establishing the characteristics of these group(s) would have significant clinical implications since high quality preoperative risk stratification remains the cornerstone of therapeutic decision making to date. Objective: To stratify high-risk prostate cancer based on preoperative characteristics and evaluate cancer specific survival after radical prostatectomy. Method: The EMPaCT multi-center database offers an international population of non-metastatic high-risk prostate cancer. Preoperative characteristics such as age, biopsy Gleason score, PSA and clinical stage were subcategorized. A multivariate analysis was performed using predictors showing significant survival heterogeneity after stratification, as observed by a univariate analysis. Based upon the hazard ratios of this multivariate analysis, a proportional score system was created. The most ideal group distribution was evaluated trough different score cut-off's. The predictive value was tested by the herald C index. Results: An overall 5-years CSS of 94% was noted within the entire high-risk cohort (n = 4,879). Except for age, all preoperative risk factors showed a significantly differing CSS. Multivariate analysis indicated, T4 stage as being the strongest predictor of CSS (HR: 3.31), followed by ISUP grade 5 group (HR 3,05). A score system was created by doubling the hazard ratios of this multivariate analysis and rounding off to the nearest complete number. Multivariate analysis suggested 0, 4, 8, and 12 pts as being the most optimal group distribution (p-value: 0.0015). Five-years CSS of these groups were 97, 93, 87, and 70%, respectively. The calculated Herald C-index of the model was 0.77. Conclusion: An easy-to-use pre-operative model for risk stratification of newly diagnosed high-risk prostate cancer is presented. The heterogeneous CSS of high-risk non-metastatic prostate cancer after radical prostatectomy is illustrated. The model is clinically accessible through an online calculator, presenting cancer specific survival based on individualized patient characteristics.
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spelling pubmed-70689092020-03-24 Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis Chys, Brecht Devos, Gaëtan Everaerts, Wouter Albersen, Maarten Moris, Lisa Claessens, Frank De Meerleer, Gert Haustermans, Karin Briganti, Alberto Chlosta, Piotr Gontero, Paolo Graefen, Markus Gratzke, Christian Karnes, R. Jeffrey Kneitz, Burkhard Marchioro, Giansilvio Salas, Rafael Sanchez Spahn, Martin Tombal, Bertrand Van Der Poel, Henk Walz, Jochen Van Poppel, Hendrik Joniau, Steven Front Oncol Oncology Background: Cancer-specific survival (CSS) within high-risk non-metastatic prostate cancer varies dramatically. It is likely that within this heterogenous population there are subgroup(s) at extraordinary risk, burdened with an exaptational poor prognosis. Establishing the characteristics of these group(s) would have significant clinical implications since high quality preoperative risk stratification remains the cornerstone of therapeutic decision making to date. Objective: To stratify high-risk prostate cancer based on preoperative characteristics and evaluate cancer specific survival after radical prostatectomy. Method: The EMPaCT multi-center database offers an international population of non-metastatic high-risk prostate cancer. Preoperative characteristics such as age, biopsy Gleason score, PSA and clinical stage were subcategorized. A multivariate analysis was performed using predictors showing significant survival heterogeneity after stratification, as observed by a univariate analysis. Based upon the hazard ratios of this multivariate analysis, a proportional score system was created. The most ideal group distribution was evaluated trough different score cut-off's. The predictive value was tested by the herald C index. Results: An overall 5-years CSS of 94% was noted within the entire high-risk cohort (n = 4,879). Except for age, all preoperative risk factors showed a significantly differing CSS. Multivariate analysis indicated, T4 stage as being the strongest predictor of CSS (HR: 3.31), followed by ISUP grade 5 group (HR 3,05). A score system was created by doubling the hazard ratios of this multivariate analysis and rounding off to the nearest complete number. Multivariate analysis suggested 0, 4, 8, and 12 pts as being the most optimal group distribution (p-value: 0.0015). Five-years CSS of these groups were 97, 93, 87, and 70%, respectively. The calculated Herald C-index of the model was 0.77. Conclusion: An easy-to-use pre-operative model for risk stratification of newly diagnosed high-risk prostate cancer is presented. The heterogeneous CSS of high-risk non-metastatic prostate cancer after radical prostatectomy is illustrated. The model is clinically accessible through an online calculator, presenting cancer specific survival based on individualized patient characteristics. Frontiers Media S.A. 2020-03-06 /pmc/articles/PMC7068909/ /pubmed/32211317 http://dx.doi.org/10.3389/fonc.2020.00246 Text en Copyright © 2020 Chys, Devos, Everaerts, Albersen, Moris, Claessens, De Meerleer, Haustermans, Briganti, Chlosta, Gontero, Graefen, Gratzke, Karnes, Kneitz, Marchioro, Salas, Spahn, Tombal, Van Der Poel, Walz, Van Poppel and Joniau. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Chys, Brecht
Devos, Gaëtan
Everaerts, Wouter
Albersen, Maarten
Moris, Lisa
Claessens, Frank
De Meerleer, Gert
Haustermans, Karin
Briganti, Alberto
Chlosta, Piotr
Gontero, Paolo
Graefen, Markus
Gratzke, Christian
Karnes, R. Jeffrey
Kneitz, Burkhard
Marchioro, Giansilvio
Salas, Rafael Sanchez
Spahn, Martin
Tombal, Bertrand
Van Der Poel, Henk
Walz, Jochen
Van Poppel, Hendrik
Joniau, Steven
Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis
title Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis
title_full Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis
title_fullStr Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis
title_full_unstemmed Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis
title_short Preoperative Risk-Stratification of High-Risk Prostate Cancer: A Multicenter Analysis
title_sort preoperative risk-stratification of high-risk prostate cancer: a multicenter analysis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7068909/
https://www.ncbi.nlm.nih.gov/pubmed/32211317
http://dx.doi.org/10.3389/fonc.2020.00246
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