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An EMT‐related gene signature for the prognosis of human bladder cancer

The transition from non–muscle‐invasive bladder cancer (NMIBC) to muscle‐invasive bladder cancer (MIBC) is detrimental to bladder cancer (BLCA) patients. Here, we aimed to study the underlying mechanism of the subtype transition. Gene set variation analysis (GSVA) revealed the epithelial‐mesenchymal...

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Detalles Bibliográficos
Autores principales: Cao, Rui, Yuan, Lushun, Ma, Bo, Wang, Gang, Qiu, Wei, Tian, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933372/
https://www.ncbi.nlm.nih.gov/pubmed/31657881
http://dx.doi.org/10.1111/jcmm.14767
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author Cao, Rui
Yuan, Lushun
Ma, Bo
Wang, Gang
Qiu, Wei
Tian, Ye
author_facet Cao, Rui
Yuan, Lushun
Ma, Bo
Wang, Gang
Qiu, Wei
Tian, Ye
author_sort Cao, Rui
collection PubMed
description The transition from non–muscle‐invasive bladder cancer (NMIBC) to muscle‐invasive bladder cancer (MIBC) is detrimental to bladder cancer (BLCA) patients. Here, we aimed to study the underlying mechanism of the subtype transition. Gene set variation analysis (GSVA) revealed the epithelial‐mesenchymal transition (EMT) signalling pathway with the most positive correlation in this transition. Then, we built a LASSO Cox regression model of an EMT‐related gene signature in BLCA. The patients with high risk scores had significantly worse overall survival (OS) and disease‐free survival (DFS) than those with low risk scores. The EMT‐related gene signature also performed favourably in the accuracy of prognosis and in the subtype survival analysis. Univariate and multivariate Cox regression analyses demonstrated that the EMT‐related gene signature, pathological N stage and age were independent prognostic factors for predicting survival in BLCA patients. Furthermore, the predictive nomogram model was able to effectively predict the outcome of BLCA patients by appropriately stratifying the risk score. In conclusion, we developed a novel EMT‐related gene signature that has tumour‐promoting effects, acts as a negative independent prognostic factor and might facilitate personalized counselling and treatment in BLCA.
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spelling pubmed-69333722020-01-01 An EMT‐related gene signature for the prognosis of human bladder cancer Cao, Rui Yuan, Lushun Ma, Bo Wang, Gang Qiu, Wei Tian, Ye J Cell Mol Med Original Articles The transition from non–muscle‐invasive bladder cancer (NMIBC) to muscle‐invasive bladder cancer (MIBC) is detrimental to bladder cancer (BLCA) patients. Here, we aimed to study the underlying mechanism of the subtype transition. Gene set variation analysis (GSVA) revealed the epithelial‐mesenchymal transition (EMT) signalling pathway with the most positive correlation in this transition. Then, we built a LASSO Cox regression model of an EMT‐related gene signature in BLCA. The patients with high risk scores had significantly worse overall survival (OS) and disease‐free survival (DFS) than those with low risk scores. The EMT‐related gene signature also performed favourably in the accuracy of prognosis and in the subtype survival analysis. Univariate and multivariate Cox regression analyses demonstrated that the EMT‐related gene signature, pathological N stage and age were independent prognostic factors for predicting survival in BLCA patients. Furthermore, the predictive nomogram model was able to effectively predict the outcome of BLCA patients by appropriately stratifying the risk score. In conclusion, we developed a novel EMT‐related gene signature that has tumour‐promoting effects, acts as a negative independent prognostic factor and might facilitate personalized counselling and treatment in BLCA. John Wiley and Sons Inc. 2019-10-28 2020-01 /pmc/articles/PMC6933372/ /pubmed/31657881 http://dx.doi.org/10.1111/jcmm.14767 Text en © 2019 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Cao, Rui
Yuan, Lushun
Ma, Bo
Wang, Gang
Qiu, Wei
Tian, Ye
An EMT‐related gene signature for the prognosis of human bladder cancer
title An EMT‐related gene signature for the prognosis of human bladder cancer
title_full An EMT‐related gene signature for the prognosis of human bladder cancer
title_fullStr An EMT‐related gene signature for the prognosis of human bladder cancer
title_full_unstemmed An EMT‐related gene signature for the prognosis of human bladder cancer
title_short An EMT‐related gene signature for the prognosis of human bladder cancer
title_sort emt‐related gene signature for the prognosis of human bladder cancer
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933372/
https://www.ncbi.nlm.nih.gov/pubmed/31657881
http://dx.doi.org/10.1111/jcmm.14767
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