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Unmasking molecular profiles of bladder cancer

Precision medicine is designed to tailor treatments for individual patients by factoring in each person's specific biology and mechanism of disease. This paradigm shifted from a “one size fits all” approach to “personalized and precision care” requires multiple layers of molecular profiling of...

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Detalles Bibliográficos
Autores principales: Piao, Xuan-Mei, Byun, Young Joon, Kim, Wun-Jae, Kim, Jayoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Urological Association 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840121/
https://www.ncbi.nlm.nih.gov/pubmed/29520382
http://dx.doi.org/10.4111/icu.2018.59.2.72
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author Piao, Xuan-Mei
Byun, Young Joon
Kim, Wun-Jae
Kim, Jayoung
author_facet Piao, Xuan-Mei
Byun, Young Joon
Kim, Wun-Jae
Kim, Jayoung
author_sort Piao, Xuan-Mei
collection PubMed
description Precision medicine is designed to tailor treatments for individual patients by factoring in each person's specific biology and mechanism of disease. This paradigm shifted from a “one size fits all” approach to “personalized and precision care” requires multiple layers of molecular profiling of biomarkers for accurate diagnosis and prediction of treatment responses. Intensive studies are also being performed to understand the complex and dynamic molecular profiles of bladder cancer. These efforts involve looking bladder cancer mechanism at the multiple levels of the genome, epigenome, transcriptome, proteome, lipidome, metabolome etc. The aim of this short review is to outline the current technologies being used to investigate molecular profiles and discuss biomarker candidates that have been investigated as possible diagnostic and prognostic indicators of bladder cancer.
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spelling pubmed-58401212018-03-08 Unmasking molecular profiles of bladder cancer Piao, Xuan-Mei Byun, Young Joon Kim, Wun-Jae Kim, Jayoung Investig Clin Urol Review Article Precision medicine is designed to tailor treatments for individual patients by factoring in each person's specific biology and mechanism of disease. This paradigm shifted from a “one size fits all” approach to “personalized and precision care” requires multiple layers of molecular profiling of biomarkers for accurate diagnosis and prediction of treatment responses. Intensive studies are also being performed to understand the complex and dynamic molecular profiles of bladder cancer. These efforts involve looking bladder cancer mechanism at the multiple levels of the genome, epigenome, transcriptome, proteome, lipidome, metabolome etc. The aim of this short review is to outline the current technologies being used to investigate molecular profiles and discuss biomarker candidates that have been investigated as possible diagnostic and prognostic indicators of bladder cancer. The Korean Urological Association 2018-03 2018-02-01 /pmc/articles/PMC5840121/ /pubmed/29520382 http://dx.doi.org/10.4111/icu.2018.59.2.72 Text en © The Korean Urological Association, 2018 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 Review Article
Piao, Xuan-Mei
Byun, Young Joon
Kim, Wun-Jae
Kim, Jayoung
Unmasking molecular profiles of bladder cancer
title Unmasking molecular profiles of bladder cancer
title_full Unmasking molecular profiles of bladder cancer
title_fullStr Unmasking molecular profiles of bladder cancer
title_full_unstemmed Unmasking molecular profiles of bladder cancer
title_short Unmasking molecular profiles of bladder cancer
title_sort unmasking molecular profiles of bladder cancer
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5840121/
https://www.ncbi.nlm.nih.gov/pubmed/29520382
http://dx.doi.org/10.4111/icu.2018.59.2.72
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