Cargando…
Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer
BACKGROUND: We aimed to explore the utility of prostate specific antigen (PSA) isoform [− 2] proPSA and its derivatives for prediction of pathological outcome after radical prostatectomy (RP). METHODS: Preoperative blood samples were prospectively and consecutivelyanalyzed from 472 patients treated...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487536/ https://www.ncbi.nlm.nih.gov/pubmed/32894109 http://dx.doi.org/10.1186/s12894-020-00711-5 |
_version_ | 1783581506297397248 |
---|---|
author | Novak, Vojtech Vesely, Stepan Luksanová, Hana Prusa, Richard Capoun, Otakar Fiala, Vojtech Dolejsová, Olga Sedlacková, Hana Kucera, Radek Stejskal, Jiri Zalesky, Miroslav Babjuk, Marko |
author_facet | Novak, Vojtech Vesely, Stepan Luksanová, Hana Prusa, Richard Capoun, Otakar Fiala, Vojtech Dolejsová, Olga Sedlacková, Hana Kucera, Radek Stejskal, Jiri Zalesky, Miroslav Babjuk, Marko |
author_sort | Novak, Vojtech |
collection | PubMed |
description | BACKGROUND: We aimed to explore the utility of prostate specific antigen (PSA) isoform [− 2] proPSA and its derivatives for prediction of pathological outcome after radical prostatectomy (RP). METHODS: Preoperative blood samples were prospectively and consecutivelyanalyzed from 472 patients treated with RP for clinically localized prostate cancerat four medical centers. Measured parameters were PSA, free PSA (fPSA), fPSA/PSA ratio, [− 2] proPSA (p2PSA), p2PSA/fPSA ratio and Prostate Health Index (PHI)(p2PSA/fPSA)*√PSA]. Logistic regression models were fitted to determine the accuracy of markers for prediction of pathological Gleason score (GS) ≥7, Gleason score upgrading, extracapsular extension of the tumor (pT3) and the presence of positive surgical margin (PSM). The accuracy of predictive models was compared using area under the receiver operating curve (AUC). RESULTS: Of 472 patients undergoing RP, 339 (72%) were found to have pathologic GS ≥ 7, out of them 178 (53%) experienced an upgrade from their preoperative GS = 6. The findings of pT3 and PSM were present in 132 (28%) and 133 (28%) cases, respectively. At univariable analysis of all the preoperative parameters, PHI was the most accurate predictor of pathological GS ≥7 (OR 1.02, 95% CI 1.01–1.03, p<0.001), GS upgrading (OR 1.02, 95% CI 1.01–1.03, p<0.003), pT3 disease (OR 1.01, 95% CI 1.00–1.02, p<0.007) and the presence of PSM (OR 1.01, 95% CI 1.00–1.02, p<0.002). Adding of PHI into the base multivariable model increased significantly the accuracy for prediction of pathological GS by 4.4% to AUC = 66.6 (p = 0.015) and GS upgrading by 5.0% to AUC = 65.9 (p = 0.025), respectively. CONCLUSIONS: Preoperative PHI levels may contribute significantly to prediction of prostate cancer aggressiveness and expansion of the tumor detected at final pathology. |
format | Online Article Text |
id | pubmed-7487536 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74875362020-09-15 Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer Novak, Vojtech Vesely, Stepan Luksanová, Hana Prusa, Richard Capoun, Otakar Fiala, Vojtech Dolejsová, Olga Sedlacková, Hana Kucera, Radek Stejskal, Jiri Zalesky, Miroslav Babjuk, Marko BMC Urol Research Article BACKGROUND: We aimed to explore the utility of prostate specific antigen (PSA) isoform [− 2] proPSA and its derivatives for prediction of pathological outcome after radical prostatectomy (RP). METHODS: Preoperative blood samples were prospectively and consecutivelyanalyzed from 472 patients treated with RP for clinically localized prostate cancerat four medical centers. Measured parameters were PSA, free PSA (fPSA), fPSA/PSA ratio, [− 2] proPSA (p2PSA), p2PSA/fPSA ratio and Prostate Health Index (PHI)(p2PSA/fPSA)*√PSA]. Logistic regression models were fitted to determine the accuracy of markers for prediction of pathological Gleason score (GS) ≥7, Gleason score upgrading, extracapsular extension of the tumor (pT3) and the presence of positive surgical margin (PSM). The accuracy of predictive models was compared using area under the receiver operating curve (AUC). RESULTS: Of 472 patients undergoing RP, 339 (72%) were found to have pathologic GS ≥ 7, out of them 178 (53%) experienced an upgrade from their preoperative GS = 6. The findings of pT3 and PSM were present in 132 (28%) and 133 (28%) cases, respectively. At univariable analysis of all the preoperative parameters, PHI was the most accurate predictor of pathological GS ≥7 (OR 1.02, 95% CI 1.01–1.03, p<0.001), GS upgrading (OR 1.02, 95% CI 1.01–1.03, p<0.003), pT3 disease (OR 1.01, 95% CI 1.00–1.02, p<0.007) and the presence of PSM (OR 1.01, 95% CI 1.00–1.02, p<0.002). Adding of PHI into the base multivariable model increased significantly the accuracy for prediction of pathological GS by 4.4% to AUC = 66.6 (p = 0.015) and GS upgrading by 5.0% to AUC = 65.9 (p = 0.025), respectively. CONCLUSIONS: Preoperative PHI levels may contribute significantly to prediction of prostate cancer aggressiveness and expansion of the tumor detected at final pathology. BioMed Central 2020-09-07 /pmc/articles/PMC7487536/ /pubmed/32894109 http://dx.doi.org/10.1186/s12894-020-00711-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Novak, Vojtech Vesely, Stepan Luksanová, Hana Prusa, Richard Capoun, Otakar Fiala, Vojtech Dolejsová, Olga Sedlacková, Hana Kucera, Radek Stejskal, Jiri Zalesky, Miroslav Babjuk, Marko Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer |
title | Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer |
title_full | Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer |
title_fullStr | Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer |
title_full_unstemmed | Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer |
title_short | Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer |
title_sort | preoperative prostate health index predicts adverse pathology and gleason score upgrading after radical prostatectomy for prostate cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487536/ https://www.ncbi.nlm.nih.gov/pubmed/32894109 http://dx.doi.org/10.1186/s12894-020-00711-5 |
work_keys_str_mv | AT novakvojtech preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT veselystepan preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT luksanovahana preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT prusarichard preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT capounotakar preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT fialavojtech preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT dolejsovaolga preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT sedlackovahana preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT kuceraradek preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT stejskaljiri preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT zaleskymiroslav preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer AT babjukmarko preoperativeprostatehealthindexpredictsadversepathologyandgleasonscoreupgradingafterradicalprostatectomyforprostatecancer |