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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...

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Autores principales: Ma, Chenkai, Nguyen, Hong P. T., Luwor, Rodney B., Stylli, Stanley S., Gogos, Andrew, Paradiso, Lucia, Kaye, Andrew H., Morokoff, Andrew P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
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.
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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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