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Prediction tools in non-muscle invasive bladder cancer

Non-muscle invasive bladder cancer (BCa) is the second most common genitourinary malignancy, burdened by high rates of recurrence and progression. Urologist are encouraged to stratify patients on the bases of recurrence and progression risks in order to define the best therapeutic approach and follo...

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Autores principales: Zamboni, Stefania, Moschini, Marco, Simeone, Claudio, Antonelli, Alessandro, Mattei, Agostino, Baumeister, Philipp, Xylinas, Evanguelos, Hakenberg, Oliver W., Aziz, Atiqullah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6414347/
https://www.ncbi.nlm.nih.gov/pubmed/30976567
http://dx.doi.org/10.21037/tau.2019.01.15
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author Zamboni, Stefania
Moschini, Marco
Simeone, Claudio
Antonelli, Alessandro
Mattei, Agostino
Baumeister, Philipp
Xylinas, Evanguelos
Hakenberg, Oliver W.
Aziz, Atiqullah
author_facet Zamboni, Stefania
Moschini, Marco
Simeone, Claudio
Antonelli, Alessandro
Mattei, Agostino
Baumeister, Philipp
Xylinas, Evanguelos
Hakenberg, Oliver W.
Aziz, Atiqullah
author_sort Zamboni, Stefania
collection PubMed
description Non-muscle invasive bladder cancer (BCa) is the second most common genitourinary malignancy, burdened by high rates of recurrence and progression. Urologist are encouraged to stratify patients on the bases of recurrence and progression risks in order to define the best therapeutic approach and follow-up scheme. For these reasons, the aim of the present non-systematic review was to assess the literature on prediction tools in non-muscle invasive BCa. Currently, the most widely used tools remain the European Organization for Research and Treatment of Cancer (EORTC) and the Club Urologico Espanol de Tratamiento Oncologico (CUETO) risk tables, which are based on clinicopathologic features. Recent external validations, therefore, reported their low accuracy, probably related to the lack of the role of re-transurethral resection (TURBT), early instillations, chemotherapy and complete BCG schedules in the studies included to asses these scores. More recently several immunological, biochemical and genetics biomarkers have been tested by themselves and in combination with clinicopathologic features, and many of them resulted related with risk of recurrence and progression. Future perspectives will presumably include the update of EORTC and CUETO scores with newest guidelines’ recommendations and their integration with biomarkers.
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spelling pubmed-64143472019-04-11 Prediction tools in non-muscle invasive bladder cancer Zamboni, Stefania Moschini, Marco Simeone, Claudio Antonelli, Alessandro Mattei, Agostino Baumeister, Philipp Xylinas, Evanguelos Hakenberg, Oliver W. Aziz, Atiqullah Transl Androl Urol Review Article Non-muscle invasive bladder cancer (BCa) is the second most common genitourinary malignancy, burdened by high rates of recurrence and progression. Urologist are encouraged to stratify patients on the bases of recurrence and progression risks in order to define the best therapeutic approach and follow-up scheme. For these reasons, the aim of the present non-systematic review was to assess the literature on prediction tools in non-muscle invasive BCa. Currently, the most widely used tools remain the European Organization for Research and Treatment of Cancer (EORTC) and the Club Urologico Espanol de Tratamiento Oncologico (CUETO) risk tables, which are based on clinicopathologic features. Recent external validations, therefore, reported their low accuracy, probably related to the lack of the role of re-transurethral resection (TURBT), early instillations, chemotherapy and complete BCG schedules in the studies included to asses these scores. More recently several immunological, biochemical and genetics biomarkers have been tested by themselves and in combination with clinicopathologic features, and many of them resulted related with risk of recurrence and progression. Future perspectives will presumably include the update of EORTC and CUETO scores with newest guidelines’ recommendations and their integration with biomarkers. AME Publishing Company 2019-02 /pmc/articles/PMC6414347/ /pubmed/30976567 http://dx.doi.org/10.21037/tau.2019.01.15 Text en 2019 Translational Andrology and Urology. All rights reserved.
spellingShingle Review Article
Zamboni, Stefania
Moschini, Marco
Simeone, Claudio
Antonelli, Alessandro
Mattei, Agostino
Baumeister, Philipp
Xylinas, Evanguelos
Hakenberg, Oliver W.
Aziz, Atiqullah
Prediction tools in non-muscle invasive bladder cancer
title Prediction tools in non-muscle invasive bladder cancer
title_full Prediction tools in non-muscle invasive bladder cancer
title_fullStr Prediction tools in non-muscle invasive bladder cancer
title_full_unstemmed Prediction tools in non-muscle invasive bladder cancer
title_short Prediction tools in non-muscle invasive bladder cancer
title_sort prediction tools in non-muscle invasive bladder cancer
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6414347/
https://www.ncbi.nlm.nih.gov/pubmed/30976567
http://dx.doi.org/10.21037/tau.2019.01.15
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