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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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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 |
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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 |
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