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Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence

PURPOSE: Prostate cancer (PCa) with biopsy-based grade group (GG) 1 or 2 characteristics has a favorable outcome, yet some cases still progress after radical prostatectomy and present with biochemical recurrence (BCR). We hypothesized that the multi-scale tissue architecture (MSTA) analysis score wo...

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Autores principales: Pukl, Miha, Keyes, Sarah, Keyes, Mira, Guillaud, Martial, Volavšek, Metka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Urological Association 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458870/
https://www.ncbi.nlm.nih.gov/pubmed/32734723
http://dx.doi.org/10.4111/icu.20200018
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author Pukl, Miha
Keyes, Sarah
Keyes, Mira
Guillaud, Martial
Volavšek, Metka
author_facet Pukl, Miha
Keyes, Sarah
Keyes, Mira
Guillaud, Martial
Volavšek, Metka
author_sort Pukl, Miha
collection PubMed
description PURPOSE: Prostate cancer (PCa) with biopsy-based grade group (GG) 1 or 2 characteristics has a favorable outcome, yet some cases still progress after radical prostatectomy and present with biochemical recurrence (BCR). We hypothesized that the multi-scale tissue architecture (MSTA) analysis score would correlate with the aggressive PCa phenotype and could be used as a tool for risk assessment to improve the management of patients with favorable-risk PCa. MATERIALS AND METHODS: MSTA was evaluated in needle-biopsy samples from 115 patients with favorable-risk PCa, as defined by GG1 and GG2, a prostate-specific antigen (PSA) level of <10 ng/mL, a clinical stage of cT1c to cT2b, and general Gleason GG (GGG) and expert pathologist-assessed GG (EGG). Algorithms based on Voronoi diagrams were applied to all Feulgen-thionin-stained diagnostic areas. One hundred tissue architecture features were calculated and an MSTA score, a linear combination of the most discriminant features, was generated. Correlation of MSTA score with BCR and other clinical variables was investigated. RESULTS: In a univariate regression model, EGG, clinical stage, and MSTA were significant predictors of BCR (respective p-values: 0.0016, 0.016, and 0.028). Survival analysis showed that patients with a high MSTA score were more likely to experience BCR than were patients with a low MSTA score (odds ratio, 2.9). Combining MSTA with GG assessment resulted in a significant stratification of risk for BCR. CONCLUSIONS: MSTA score could be used as an objective adjunct risk stratification tool to pathologist assessments and could improve the management of patients with favorable-risk PCa.
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spelling pubmed-74588702020-09-06 Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence Pukl, Miha Keyes, Sarah Keyes, Mira Guillaud, Martial Volavšek, Metka Investig Clin Urol Original Article PURPOSE: Prostate cancer (PCa) with biopsy-based grade group (GG) 1 or 2 characteristics has a favorable outcome, yet some cases still progress after radical prostatectomy and present with biochemical recurrence (BCR). We hypothesized that the multi-scale tissue architecture (MSTA) analysis score would correlate with the aggressive PCa phenotype and could be used as a tool for risk assessment to improve the management of patients with favorable-risk PCa. MATERIALS AND METHODS: MSTA was evaluated in needle-biopsy samples from 115 patients with favorable-risk PCa, as defined by GG1 and GG2, a prostate-specific antigen (PSA) level of <10 ng/mL, a clinical stage of cT1c to cT2b, and general Gleason GG (GGG) and expert pathologist-assessed GG (EGG). Algorithms based on Voronoi diagrams were applied to all Feulgen-thionin-stained diagnostic areas. One hundred tissue architecture features were calculated and an MSTA score, a linear combination of the most discriminant features, was generated. Correlation of MSTA score with BCR and other clinical variables was investigated. RESULTS: In a univariate regression model, EGG, clinical stage, and MSTA were significant predictors of BCR (respective p-values: 0.0016, 0.016, and 0.028). Survival analysis showed that patients with a high MSTA score were more likely to experience BCR than were patients with a low MSTA score (odds ratio, 2.9). Combining MSTA with GG assessment resulted in a significant stratification of risk for BCR. CONCLUSIONS: MSTA score could be used as an objective adjunct risk stratification tool to pathologist assessments and could improve the management of patients with favorable-risk PCa. The Korean Urological Association 2020-09 2020-07-28 /pmc/articles/PMC7458870/ /pubmed/32734723 http://dx.doi.org/10.4111/icu.20200018 Text en © The Korean Urological Association, 2020 http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Pukl, Miha
Keyes, Sarah
Keyes, Mira
Guillaud, Martial
Volavšek, Metka
Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence
title Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence
title_full Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence
title_fullStr Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence
title_full_unstemmed Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence
title_short Multi-scale tissue architecture analysis of favorable-risk prostate cancer: Correlation with biochemical recurrence
title_sort multi-scale tissue architecture analysis of favorable-risk prostate cancer: correlation with biochemical recurrence
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7458870/
https://www.ncbi.nlm.nih.gov/pubmed/32734723
http://dx.doi.org/10.4111/icu.20200018
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