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Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review

The majority of patients with bladder cancer are diagnosed in non-muscle invasive stage. Most of them will experience recurrence or progression to more aggressive disease during follow-up. That raises the need for improvements with regard to risk assessment. Current risk stratification, based only o...

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Autores principales: Piszczek, Radosław, Krajewski, Wojciech, Moschini, Marco, Kołodziej, Anna, Nowak, Łukasz, Poterek, Adrian, Zdrojowy, Romuald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798016/
https://www.ncbi.nlm.nih.gov/pubmed/35117333
http://dx.doi.org/10.21037/tcr-20-2257
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author Piszczek, Radosław
Krajewski, Wojciech
Moschini, Marco
Kołodziej, Anna
Nowak, Łukasz
Poterek, Adrian
Zdrojowy, Romuald
author_facet Piszczek, Radosław
Krajewski, Wojciech
Moschini, Marco
Kołodziej, Anna
Nowak, Łukasz
Poterek, Adrian
Zdrojowy, Romuald
author_sort Piszczek, Radosław
collection PubMed
description The majority of patients with bladder cancer are diagnosed in non-muscle invasive stage. Most of them will experience recurrence or progression to more aggressive disease during follow-up. That raises the need for improvements with regard to risk assessment. Current risk stratification, based only on clinicopathologic features, does not fully reflect biological heterogeneity of the cancer and its role in prognosis. Many studies addressed the topic of variant histology and its influence on treatment and outcomes. It has been shown that accurate identification of variant histology implicates patient prognosis and inform right treatment decisions. Most studies on histological variants of bladder cancer suggest a more aggressive clinical course, with higher risk of recurrence and progression than in conventional urothelial cancer, even when diagnosed in non-muscle invasive stage. That prompts early aggressive treatment approach whenever variant histology is detected. Emerging genomic information are expected to complement clinical and pathological data and change the paradigms in the management of bladder cancer. Several reports highlighted the clinical significance of molecular stratification of bladder cancer, but the available evidence is based on retrospective data. Molecular subtyping gives promise not only for improving risk assessment, but also in predicting response to Bacillus Calmette-Guerin (BCG) or chemotherapy. Finally, molecular alterations might become targets for novel drugs to improve the overall response of these patients. However, its implementation into clinical practice requires further validation in prospective trials, especially in the context of non-muscle invasive bladder cancer.
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spelling pubmed-87980162022-02-02 Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review Piszczek, Radosław Krajewski, Wojciech Moschini, Marco Kołodziej, Anna Nowak, Łukasz Poterek, Adrian Zdrojowy, Romuald Transl Cancer Res Review Article The majority of patients with bladder cancer are diagnosed in non-muscle invasive stage. Most of them will experience recurrence or progression to more aggressive disease during follow-up. That raises the need for improvements with regard to risk assessment. Current risk stratification, based only on clinicopathologic features, does not fully reflect biological heterogeneity of the cancer and its role in prognosis. Many studies addressed the topic of variant histology and its influence on treatment and outcomes. It has been shown that accurate identification of variant histology implicates patient prognosis and inform right treatment decisions. Most studies on histological variants of bladder cancer suggest a more aggressive clinical course, with higher risk of recurrence and progression than in conventional urothelial cancer, even when diagnosed in non-muscle invasive stage. That prompts early aggressive treatment approach whenever variant histology is detected. Emerging genomic information are expected to complement clinical and pathological data and change the paradigms in the management of bladder cancer. Several reports highlighted the clinical significance of molecular stratification of bladder cancer, but the available evidence is based on retrospective data. Molecular subtyping gives promise not only for improving risk assessment, but also in predicting response to Bacillus Calmette-Guerin (BCG) or chemotherapy. Finally, molecular alterations might become targets for novel drugs to improve the overall response of these patients. However, its implementation into clinical practice requires further validation in prospective trials, especially in the context of non-muscle invasive bladder cancer. AME Publishing Company 2020-11 /pmc/articles/PMC8798016/ /pubmed/35117333 http://dx.doi.org/10.21037/tcr-20-2257 Text en 2020 Translational Cancer Research. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
spellingShingle Review Article
Piszczek, Radosław
Krajewski, Wojciech
Moschini, Marco
Kołodziej, Anna
Nowak, Łukasz
Poterek, Adrian
Zdrojowy, Romuald
Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review
title Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review
title_full Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review
title_fullStr Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review
title_full_unstemmed Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review
title_short Combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review
title_sort combination of histological and molecular data for improving outcome prediction in non-muscle invasive bladder cancer—narrative review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8798016/
https://www.ncbi.nlm.nih.gov/pubmed/35117333
http://dx.doi.org/10.21037/tcr-20-2257
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