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Serum microRNA profiling in patients with glioblastoma: a survival analysis
Because circulating microRNAs (miRNAs) have drawn a great deal of attention as promising novel cancer diagnostics and prognostic biomarkers, we sought to identify serum miRNAs significantly associated with outcome in glioblastoma patients. To do this, we performed global miRNA profiling in serum sam...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346242/ https://www.ncbi.nlm.nih.gov/pubmed/28284220 http://dx.doi.org/10.1186/s12943-017-0628-5 |
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author | Zhao, Hua Shen, Jie Hodges, Tiffany R. Song, Renduo Fuller, Gregory N. Heimberger, Amy B. |
author_facet | Zhao, Hua Shen, Jie Hodges, Tiffany R. Song, Renduo Fuller, Gregory N. Heimberger, Amy B. |
author_sort | Zhao, Hua |
collection | PubMed |
description | Because circulating microRNAs (miRNAs) have drawn a great deal of attention as promising novel cancer diagnostics and prognostic biomarkers, we sought to identify serum miRNAs significantly associated with outcome in glioblastoma patients. To do this, we performed global miRNA profiling in serum samples from 106 primary glioblastoma patients. The study subjects were randomly divided into two sets: set one (n = 40) and set two (n = 66). Using a Cox regression model, 3 serum miRNAs (miR-106a-5p, miR-182, and miR-145-5p) and 5 serum miRNAs (miR-222-3p, miR-182, miR-20a-5p, miR-106a-5p, and miR-145-5p) were identified significantly associated with 2-year patient overall survival and disease-free survival (P < 0.05) in both sets and the combined set. We then created the miRNA risk scores to assess the total impact of the significant serum miRNAs on survival. The high risk scores were associated with poor patient survival (overall survival: HR = 1.92, 95% CI: 1.19, 10.23, and disease-free survival: HR = 2.03, 95%CI: 1.24, 4.28), and were independent of other clinicopathological factors. Our results suggest that serum miRNAs could serve as prognostic predictors of glioblastoma. |
format | Online Article Text |
id | pubmed-5346242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53462422017-03-14 Serum microRNA profiling in patients with glioblastoma: a survival analysis Zhao, Hua Shen, Jie Hodges, Tiffany R. Song, Renduo Fuller, Gregory N. Heimberger, Amy B. Mol Cancer Letter to the Editor Because circulating microRNAs (miRNAs) have drawn a great deal of attention as promising novel cancer diagnostics and prognostic biomarkers, we sought to identify serum miRNAs significantly associated with outcome in glioblastoma patients. To do this, we performed global miRNA profiling in serum samples from 106 primary glioblastoma patients. The study subjects were randomly divided into two sets: set one (n = 40) and set two (n = 66). Using a Cox regression model, 3 serum miRNAs (miR-106a-5p, miR-182, and miR-145-5p) and 5 serum miRNAs (miR-222-3p, miR-182, miR-20a-5p, miR-106a-5p, and miR-145-5p) were identified significantly associated with 2-year patient overall survival and disease-free survival (P < 0.05) in both sets and the combined set. We then created the miRNA risk scores to assess the total impact of the significant serum miRNAs on survival. The high risk scores were associated with poor patient survival (overall survival: HR = 1.92, 95% CI: 1.19, 10.23, and disease-free survival: HR = 2.03, 95%CI: 1.24, 4.28), and were independent of other clinicopathological factors. Our results suggest that serum miRNAs could serve as prognostic predictors of glioblastoma. BioMed Central 2017-03-11 /pmc/articles/PMC5346242/ /pubmed/28284220 http://dx.doi.org/10.1186/s12943-017-0628-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Letter to the Editor Zhao, Hua Shen, Jie Hodges, Tiffany R. Song, Renduo Fuller, Gregory N. Heimberger, Amy B. Serum microRNA profiling in patients with glioblastoma: a survival analysis |
title | Serum microRNA profiling in patients with glioblastoma: a survival analysis |
title_full | Serum microRNA profiling in patients with glioblastoma: a survival analysis |
title_fullStr | Serum microRNA profiling in patients with glioblastoma: a survival analysis |
title_full_unstemmed | Serum microRNA profiling in patients with glioblastoma: a survival analysis |
title_short | Serum microRNA profiling in patients with glioblastoma: a survival analysis |
title_sort | serum microrna profiling in patients with glioblastoma: a survival analysis |
topic | Letter to the Editor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5346242/ https://www.ncbi.nlm.nih.gov/pubmed/28284220 http://dx.doi.org/10.1186/s12943-017-0628-5 |
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