Cargando…

A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer

BACKGROUND: There is increasing evidence to suggest that miRNAs play an important role in predicting cancer survival. To identify a panel of miRNA signature that can divided tumor from normal bladder using miRNA expression levels, and to assess the prognostic value of this specific miRNA markers in...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Hui, Tang, Kun, Xiao, Haibing, Zeng, Jin, Guan, Wei, Guo, Xiaolin, Xu, Hua, Ye, Zhangqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508815/
https://www.ncbi.nlm.nih.gov/pubmed/25991007
http://dx.doi.org/10.1186/s13046-015-0167-0
_version_ 1782381994141810688
author Zhou, Hui
Tang, Kun
Xiao, Haibing
Zeng, Jin
Guan, Wei
Guo, Xiaolin
Xu, Hua
Ye, Zhangqun
author_facet Zhou, Hui
Tang, Kun
Xiao, Haibing
Zeng, Jin
Guan, Wei
Guo, Xiaolin
Xu, Hua
Ye, Zhangqun
author_sort Zhou, Hui
collection PubMed
description BACKGROUND: There is increasing evidence to suggest that miRNAs play an important role in predicting cancer survival. To identify a panel of miRNA signature that can divided tumor from normal bladder using miRNA expression levels, and to assess the prognostic value of this specific miRNA markers in bladder cancer (BCa). METHODS: A comprehensive meta-review of published miRNA expression profiles that compared BCa and adjacent normal tissues was performed to determine candidate miRNAs as prognostic biomarkers for BCa. Vote-counting strategy and Robust Rank Aggregation method were used to identify significant meta-signature miRNAs. RESULTS: We identified an eight-miRNA signature including three upregulated (miR-141, miR-200c, miR-21) and five downregulated (miR-145, miR-125, miR-199a, let-7c and miR-99a) miRNAs for the prediction of overall survival (OS) using TCGA dataset, and validated in our 48 BCa patients. X-tile plot was used to generate the optimum cut-off point and Kaplan-Meier method was used to calculate OS. A linear prognostic model of eight miRNAs was constructed and weighted by the importance scores from the supervised principal component method to divide patients into high- and low-risk groups. Patients assigned to the high-risk group were associated with poor OS compared with patients in the low-risk group (HR = 5.21, p < 0.001). Our validation cohort of 48 patients confirmed the panel of 8-miRNAs as a reliable prognostic tool for OS in patients with BCa (HR = 5.04, p < 0.001). CONCLUSION: The present meta-analysis identified eight highly significant and consistently dysregulated miRNAs from 19 datasets. We also constructed an eight-miRNA signature which provided predictive and prognostic value that complements traditional clinicopathological risk factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13046-015-0167-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4508815
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-45088152015-07-22 A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer Zhou, Hui Tang, Kun Xiao, Haibing Zeng, Jin Guan, Wei Guo, Xiaolin Xu, Hua Ye, Zhangqun J Exp Clin Cancer Res Research Article BACKGROUND: There is increasing evidence to suggest that miRNAs play an important role in predicting cancer survival. To identify a panel of miRNA signature that can divided tumor from normal bladder using miRNA expression levels, and to assess the prognostic value of this specific miRNA markers in bladder cancer (BCa). METHODS: A comprehensive meta-review of published miRNA expression profiles that compared BCa and adjacent normal tissues was performed to determine candidate miRNAs as prognostic biomarkers for BCa. Vote-counting strategy and Robust Rank Aggregation method were used to identify significant meta-signature miRNAs. RESULTS: We identified an eight-miRNA signature including three upregulated (miR-141, miR-200c, miR-21) and five downregulated (miR-145, miR-125, miR-199a, let-7c and miR-99a) miRNAs for the prediction of overall survival (OS) using TCGA dataset, and validated in our 48 BCa patients. X-tile plot was used to generate the optimum cut-off point and Kaplan-Meier method was used to calculate OS. A linear prognostic model of eight miRNAs was constructed and weighted by the importance scores from the supervised principal component method to divide patients into high- and low-risk groups. Patients assigned to the high-risk group were associated with poor OS compared with patients in the low-risk group (HR = 5.21, p < 0.001). Our validation cohort of 48 patients confirmed the panel of 8-miRNAs as a reliable prognostic tool for OS in patients with BCa (HR = 5.04, p < 0.001). CONCLUSION: The present meta-analysis identified eight highly significant and consistently dysregulated miRNAs from 19 datasets. We also constructed an eight-miRNA signature which provided predictive and prognostic value that complements traditional clinicopathological risk factors. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13046-015-0167-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-05-21 /pmc/articles/PMC4508815/ /pubmed/25991007 http://dx.doi.org/10.1186/s13046-015-0167-0 Text en © Zhou et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhou, Hui
Tang, Kun
Xiao, Haibing
Zeng, Jin
Guan, Wei
Guo, Xiaolin
Xu, Hua
Ye, Zhangqun
A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer
title A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer
title_full A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer
title_fullStr A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer
title_full_unstemmed A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer
title_short A panel of eight-miRNA signature as a potential biomarker for predicting survival in bladder cancer
title_sort panel of eight-mirna signature as a potential biomarker for predicting survival in bladder cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4508815/
https://www.ncbi.nlm.nih.gov/pubmed/25991007
http://dx.doi.org/10.1186/s13046-015-0167-0
work_keys_str_mv AT zhouhui apanelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT tangkun apanelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT xiaohaibing apanelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT zengjin apanelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT guanwei apanelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT guoxiaolin apanelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT xuhua apanelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT yezhangqun apanelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT zhouhui panelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT tangkun panelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT xiaohaibing panelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT zengjin panelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT guanwei panelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT guoxiaolin panelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT xuhua panelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer
AT yezhangqun panelofeightmirnasignatureasapotentialbiomarkerforpredictingsurvivalinbladdercancer