Cargando…

Advances in risk stratification of bladder cancer to guide personalized medicine

Bladder cancer is a heterogeneous disease that poses unique challenges to the treating clinician. It can be limited to a relatively indolent papillary tumor with low potential for progression beyond this stage to muscle-invasive disease prone to distant metastasis. The former is best treated as cons...

Descripción completa

Detalles Bibliográficos
Autores principales: Matulay, Justin T., Kamat, Ashish M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069735/
https://www.ncbi.nlm.nih.gov/pubmed/30109022
http://dx.doi.org/10.12688/f1000research.14903.1
_version_ 1783343557776506880
author Matulay, Justin T.
Kamat, Ashish M.
author_facet Matulay, Justin T.
Kamat, Ashish M.
author_sort Matulay, Justin T.
collection PubMed
description Bladder cancer is a heterogeneous disease that poses unique challenges to the treating clinician. It can be limited to a relatively indolent papillary tumor with low potential for progression beyond this stage to muscle-invasive disease prone to distant metastasis. The former is best treated as conservatively as possible, whereas the latter requires aggressive surgical intervention with adjuvant therapies in order to provide the best clinical outcomes. Risk stratification traditionally uses clinicopathologic features of the disease to provide prognostic information that assists in choosing the best therapy for each individual patient. For bladder cancer, this informs decisions regarding the type of intravesical therapy that is most appropriate for non-muscle-invasive disease or whether or not to administer neoadjuvant chemotherapy prior to radical cystectomy. More recently, tumor genetic sequencing data have been married to clinical outcomes data to add further sophistication and personalization. In the next generation of risk classification, we are likely to see the inclusion of molecular subtyping with specific treatment considerations based on a tumor’s mutational profile.
format Online
Article
Text
id pubmed-6069735
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher F1000 Research Limited
record_format MEDLINE/PubMed
spelling pubmed-60697352018-08-13 Advances in risk stratification of bladder cancer to guide personalized medicine Matulay, Justin T. Kamat, Ashish M. F1000Res Review Bladder cancer is a heterogeneous disease that poses unique challenges to the treating clinician. It can be limited to a relatively indolent papillary tumor with low potential for progression beyond this stage to muscle-invasive disease prone to distant metastasis. The former is best treated as conservatively as possible, whereas the latter requires aggressive surgical intervention with adjuvant therapies in order to provide the best clinical outcomes. Risk stratification traditionally uses clinicopathologic features of the disease to provide prognostic information that assists in choosing the best therapy for each individual patient. For bladder cancer, this informs decisions regarding the type of intravesical therapy that is most appropriate for non-muscle-invasive disease or whether or not to administer neoadjuvant chemotherapy prior to radical cystectomy. More recently, tumor genetic sequencing data have been married to clinical outcomes data to add further sophistication and personalization. In the next generation of risk classification, we are likely to see the inclusion of molecular subtyping with specific treatment considerations based on a tumor’s mutational profile. F1000 Research Limited 2018-07-25 /pmc/articles/PMC6069735/ /pubmed/30109022 http://dx.doi.org/10.12688/f1000research.14903.1 Text en Copyright: © 2018 Matulay JT and Kamat AM http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Matulay, Justin T.
Kamat, Ashish M.
Advances in risk stratification of bladder cancer to guide personalized medicine
title Advances in risk stratification of bladder cancer to guide personalized medicine
title_full Advances in risk stratification of bladder cancer to guide personalized medicine
title_fullStr Advances in risk stratification of bladder cancer to guide personalized medicine
title_full_unstemmed Advances in risk stratification of bladder cancer to guide personalized medicine
title_short Advances in risk stratification of bladder cancer to guide personalized medicine
title_sort advances in risk stratification of bladder cancer to guide personalized medicine
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6069735/
https://www.ncbi.nlm.nih.gov/pubmed/30109022
http://dx.doi.org/10.12688/f1000research.14903.1
work_keys_str_mv AT matulayjustint advancesinriskstratificationofbladdercancertoguidepersonalizedmedicine
AT kamatashishm advancesinriskstratificationofbladdercancertoguidepersonalizedmedicine