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Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma
MicroRNAs (miRNAs) are short noncoding RNAs that play critical roles in human malignancies and can be used as biomarkers for cancer. Until now, a number of biomarkers for prognosis of glioblastoma (GBM) have been reported in tumor tissues but only a few biomarkers in circulating fluid. Using a custo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607158/ https://www.ncbi.nlm.nih.gov/pubmed/28931080 http://dx.doi.org/10.1371/journal.pone.0184969 |
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author | Wang, Zhi-Qiang Zhang, Mei-Yin Deng, Mei-Ling Weng, Nuo-Qing Wang, Hui-Yun Wu, Shao-Xiong |
author_facet | Wang, Zhi-Qiang Zhang, Mei-Yin Deng, Mei-Ling Weng, Nuo-Qing Wang, Hui-Yun Wu, Shao-Xiong |
author_sort | Wang, Zhi-Qiang |
collection | PubMed |
description | MicroRNAs (miRNAs) are short noncoding RNAs that play critical roles in human malignancies and can be used as biomarkers for cancer. Until now, a number of biomarkers for prognosis of glioblastoma (GBM) have been reported in tumor tissues but only a few biomarkers in circulating fluid. Using a custom microarray, we previously identified 19 differentially expressed miRNAs in serum of patients with GBM. In this study, we investigated whether 3 of the 19 miRNAs in serum could be used as prognostic biomarkers for patients with GBM. We first validated the serum levels of 3 candidate miRNAs in an independent cohort of 24 GBM patients and 12 healthy volunteers by real-time quantitative reverse transcription PCR (qRT-PCR), and then evaluated the prognostic value of these miRNAs in a total of 36 GBM patients. The results show that the serum levels of the 3 miRNAs (miR-451a, miR-485-3p and miR-4298) determined by qRT-PCR are significantly different between 24 GBM patients and 12 healthy volunteers (all P <0.05) and are in concordance with the results of microarray analysis. High serum level of miR-451a is correlated with positive tumor O(6)-methylguanine-DNA methyltransferase (MGMT) expression (P = 0.040). Survival analysis showed that low serum miR-485-3p level is associated with poor progression-free survival (PFS) (P < 0.004) and overall survival (OS) (P < 0.023). Furthermore, univariate and multivariate Cox analyses demonstrated that that serum miR-485-3p expression is a significant independent prognostic factor for PFS and OS in GBM patients. In conclusion, serum miR-485-3p level is reduced and might be a potential prognostic biomarker in GBM patients. |
format | Online Article Text |
id | pubmed-5607158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56071582017-10-09 Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma Wang, Zhi-Qiang Zhang, Mei-Yin Deng, Mei-Ling Weng, Nuo-Qing Wang, Hui-Yun Wu, Shao-Xiong PLoS One Research Article MicroRNAs (miRNAs) are short noncoding RNAs that play critical roles in human malignancies and can be used as biomarkers for cancer. Until now, a number of biomarkers for prognosis of glioblastoma (GBM) have been reported in tumor tissues but only a few biomarkers in circulating fluid. Using a custom microarray, we previously identified 19 differentially expressed miRNAs in serum of patients with GBM. In this study, we investigated whether 3 of the 19 miRNAs in serum could be used as prognostic biomarkers for patients with GBM. We first validated the serum levels of 3 candidate miRNAs in an independent cohort of 24 GBM patients and 12 healthy volunteers by real-time quantitative reverse transcription PCR (qRT-PCR), and then evaluated the prognostic value of these miRNAs in a total of 36 GBM patients. The results show that the serum levels of the 3 miRNAs (miR-451a, miR-485-3p and miR-4298) determined by qRT-PCR are significantly different between 24 GBM patients and 12 healthy volunteers (all P <0.05) and are in concordance with the results of microarray analysis. High serum level of miR-451a is correlated with positive tumor O(6)-methylguanine-DNA methyltransferase (MGMT) expression (P = 0.040). Survival analysis showed that low serum miR-485-3p level is associated with poor progression-free survival (PFS) (P < 0.004) and overall survival (OS) (P < 0.023). Furthermore, univariate and multivariate Cox analyses demonstrated that that serum miR-485-3p expression is a significant independent prognostic factor for PFS and OS in GBM patients. In conclusion, serum miR-485-3p level is reduced and might be a potential prognostic biomarker in GBM patients. Public Library of Science 2017-09-20 /pmc/articles/PMC5607158/ /pubmed/28931080 http://dx.doi.org/10.1371/journal.pone.0184969 Text en © 2017 Wang et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited. |
spellingShingle | Research Article Wang, Zhi-Qiang Zhang, Mei-Yin Deng, Mei-Ling Weng, Nuo-Qing Wang, Hui-Yun Wu, Shao-Xiong Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma |
title | Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma |
title_full | Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma |
title_fullStr | Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma |
title_full_unstemmed | Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma |
title_short | Low serum level of miR-485-3p predicts poor survival in patients with glioblastoma |
title_sort | low serum level of mir-485-3p predicts poor survival in patients with glioblastoma |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607158/ https://www.ncbi.nlm.nih.gov/pubmed/28931080 http://dx.doi.org/10.1371/journal.pone.0184969 |
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