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A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer

Some reports have evaluated the prognostic relevance of microRNAs (miRNAs) in patients with pancreatic cancer (PC). However, most studies focused on limited miRNAs with small number of patients. The aim of the study is to identify a panel of miRNA signature that could predict prognosis in PC with th...

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Autores principales: Zhou, Xin, Huang, Zebo, Xu, Lei, Zhu, Mingxia, Zhang, Lan, Zhang, Huo, Wang, Xiaping, Li, Hai, Zhu, Wei, Shu, Yongqian, Liu, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342502/
https://www.ncbi.nlm.nih.gov/pubmed/27626307
http://dx.doi.org/10.18632/oncotarget.11903
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author Zhou, Xin
Huang, Zebo
Xu, Lei
Zhu, Mingxia
Zhang, Lan
Zhang, Huo
Wang, Xiaping
Li, Hai
Zhu, Wei
Shu, Yongqian
Liu, Ping
author_facet Zhou, Xin
Huang, Zebo
Xu, Lei
Zhu, Mingxia
Zhang, Lan
Zhang, Huo
Wang, Xiaping
Li, Hai
Zhu, Wei
Shu, Yongqian
Liu, Ping
author_sort Zhou, Xin
collection PubMed
description Some reports have evaluated the prognostic relevance of microRNAs (miRNAs) in patients with pancreatic cancer (PC). However, most studies focused on limited miRNAs with small number of patients. The aim of the study is to identify a panel of miRNA signature that could predict prognosis in PC with the data from The Cancer Genome Atlas (TCGA). A total of 167 PC patients with the corresponding clinical data were enrolled in our study. The miRNAs significantly associated with overall survival (OS) in PC patients were identified with Cox proportional regression model. A risk score formula was developed to evaluate the prognostic value of the miRNA signature in PC. Thirteen miRNAs were identified to be significantly related with OS in PC patients. Patients with high risk score suffered poor overall survival compared with patients who had low risk score. The multivariate Cox regression analyses showed that the miRNA signature could act as an independent prognostic indicator. In addition, the signature might serve as a predicator for treatment outcome. Our study identified a miRNA signature including 13 miRNAs which could serve as an independent marker in prognosis of PC.
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spelling pubmed-53425022017-03-24 A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer Zhou, Xin Huang, Zebo Xu, Lei Zhu, Mingxia Zhang, Lan Zhang, Huo Wang, Xiaping Li, Hai Zhu, Wei Shu, Yongqian Liu, Ping Oncotarget Research Paper Some reports have evaluated the prognostic relevance of microRNAs (miRNAs) in patients with pancreatic cancer (PC). However, most studies focused on limited miRNAs with small number of patients. The aim of the study is to identify a panel of miRNA signature that could predict prognosis in PC with the data from The Cancer Genome Atlas (TCGA). A total of 167 PC patients with the corresponding clinical data were enrolled in our study. The miRNAs significantly associated with overall survival (OS) in PC patients were identified with Cox proportional regression model. A risk score formula was developed to evaluate the prognostic value of the miRNA signature in PC. Thirteen miRNAs were identified to be significantly related with OS in PC patients. Patients with high risk score suffered poor overall survival compared with patients who had low risk score. The multivariate Cox regression analyses showed that the miRNA signature could act as an independent prognostic indicator. In addition, the signature might serve as a predicator for treatment outcome. Our study identified a miRNA signature including 13 miRNAs which could serve as an independent marker in prognosis of PC. Impact Journals LLC 2016-09-08 /pmc/articles/PMC5342502/ /pubmed/27626307 http://dx.doi.org/10.18632/oncotarget.11903 Text en Copyright: © 2016 Zhou et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Zhou, Xin
Huang, Zebo
Xu, Lei
Zhu, Mingxia
Zhang, Lan
Zhang, Huo
Wang, Xiaping
Li, Hai
Zhu, Wei
Shu, Yongqian
Liu, Ping
A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer
title A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer
title_full A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer
title_fullStr A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer
title_full_unstemmed A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer
title_short A panel of 13-miRNA signature as a potential biomarker for predicting survival in pancreatic cancer
title_sort panel of 13-mirna signature as a potential biomarker for predicting survival in pancreatic cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5342502/
https://www.ncbi.nlm.nih.gov/pubmed/27626307
http://dx.doi.org/10.18632/oncotarget.11903
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