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A comprehensive meta-analysis of circulation miRNAs in glioma as potential diagnostic biomarker
Glioma is the most common malignant intracranial tumour. Recently, several publications have suggested that miRNAs can be used as potential diagnostic biomarkers of glioma. Here we performed a meta-analysis to identify the diagnostic accuracy of differentially expressed circulating miRNAs in gliomas...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812551/ https://www.ncbi.nlm.nih.gov/pubmed/29444091 http://dx.doi.org/10.1371/journal.pone.0189452 |
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author | Ma, Chenkai Nguyen, Hong P. T. Luwor, Rodney B. Stylli, Stanley S. Gogos, Andrew Paradiso, Lucia Kaye, Andrew H. Morokoff, Andrew P. |
author_facet | Ma, Chenkai Nguyen, Hong P. T. Luwor, Rodney B. Stylli, Stanley S. Gogos, Andrew Paradiso, Lucia Kaye, Andrew H. Morokoff, Andrew P. |
author_sort | Ma, Chenkai |
collection | PubMed |
description | Glioma is the most common malignant intracranial tumour. Recently, several publications have suggested that miRNAs can be used as potential diagnostic biomarkers of glioma. Here we performed a meta-analysis to identify the diagnostic accuracy of differentially expressed circulating miRNAs in gliomas. Using PubMed, Medline and Cochrane databases, we searched for studies which evaluated a single or panel of miRNAs from circulating blood as potential biomarkers of glioma. Sixteen publications involving 23 studies of miRNAs from serum or plasma met our criteria and were included in this meta-analysis. The pooled diagnostic parameters were calculated by random effect models and overall diagnostic performance of altered miRNAs was illustrated by the summary receiver operator characteristic (SROC) curves. The pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR) from each study were calculated. The pooled PLR, NLR and Diagnostic Odds Ratio were 6.39 (95% CI, 4.61–8.87), 0.15 (95% CI, 0.11–0.21) and 41.91 (95% CI, 23.15–75.88), respectively. The pooled sensitivity, specificity and area under the curve (AUC) were 0.87 (95% CI, 0.82–0.91), 0.86 (95% CI, 0.82–0.90) and 0.93 (95% CI, 0.91–0.95), respectively. This meta-analysis demonstrated that circulating miRNAs are capable of distinguishing glioma from healthy controls. Circulating miRNAs are promising diagnostic biomarkers for glioma and can potentially be used as a non-invasive early detection. |
format | Online Article Text |
id | pubmed-5812551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58125512018-02-28 A comprehensive meta-analysis of circulation miRNAs in glioma as potential diagnostic biomarker Ma, Chenkai Nguyen, Hong P. T. Luwor, Rodney B. Stylli, Stanley S. Gogos, Andrew Paradiso, Lucia Kaye, Andrew H. Morokoff, Andrew P. PLoS One Research Article Glioma is the most common malignant intracranial tumour. Recently, several publications have suggested that miRNAs can be used as potential diagnostic biomarkers of glioma. Here we performed a meta-analysis to identify the diagnostic accuracy of differentially expressed circulating miRNAs in gliomas. Using PubMed, Medline and Cochrane databases, we searched for studies which evaluated a single or panel of miRNAs from circulating blood as potential biomarkers of glioma. Sixteen publications involving 23 studies of miRNAs from serum or plasma met our criteria and were included in this meta-analysis. The pooled diagnostic parameters were calculated by random effect models and overall diagnostic performance of altered miRNAs was illustrated by the summary receiver operator characteristic (SROC) curves. The pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR) from each study were calculated. The pooled PLR, NLR and Diagnostic Odds Ratio were 6.39 (95% CI, 4.61–8.87), 0.15 (95% CI, 0.11–0.21) and 41.91 (95% CI, 23.15–75.88), respectively. The pooled sensitivity, specificity and area under the curve (AUC) were 0.87 (95% CI, 0.82–0.91), 0.86 (95% CI, 0.82–0.90) and 0.93 (95% CI, 0.91–0.95), respectively. This meta-analysis demonstrated that circulating miRNAs are capable of distinguishing glioma from healthy controls. Circulating miRNAs are promising diagnostic biomarkers for glioma and can potentially be used as a non-invasive early detection. Public Library of Science 2018-02-14 /pmc/articles/PMC5812551/ /pubmed/29444091 http://dx.doi.org/10.1371/journal.pone.0189452 Text en © 2018 Ma 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 Ma, Chenkai Nguyen, Hong P. T. Luwor, Rodney B. Stylli, Stanley S. Gogos, Andrew Paradiso, Lucia Kaye, Andrew H. Morokoff, Andrew P. A comprehensive meta-analysis of circulation miRNAs in glioma as potential diagnostic biomarker |
title | A comprehensive meta-analysis of circulation miRNAs in glioma as potential diagnostic biomarker |
title_full | A comprehensive meta-analysis of circulation miRNAs in glioma as potential diagnostic biomarker |
title_fullStr | A comprehensive meta-analysis of circulation miRNAs in glioma as potential diagnostic biomarker |
title_full_unstemmed | A comprehensive meta-analysis of circulation miRNAs in glioma as potential diagnostic biomarker |
title_short | A comprehensive meta-analysis of circulation miRNAs in glioma as potential diagnostic biomarker |
title_sort | comprehensive meta-analysis of circulation mirnas in glioma as potential diagnostic biomarker |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812551/ https://www.ncbi.nlm.nih.gov/pubmed/29444091 http://dx.doi.org/10.1371/journal.pone.0189452 |
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