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Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis

Purpose: Recent studies have validated microRNAs (miRNAs) as a diagnostic biomarker for haematological cancers. This study aimed to estimate the overall diagnostic accuracy of circulating miRNAs in haematological malignancies. Materials and Methods: Multiple databases (Google Scholar, PubMed, EMBASE...

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Autores principales: Drokow, Emmanuel Kwateng, Sun, Kai, Ahmed, Hafiz Abdul Waqas, Akpabla, Gloria Selorm, Song, Juanjuan, Shi, Mingyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520596/
https://www.ncbi.nlm.nih.gov/pubmed/31190996
http://dx.doi.org/10.2147/CMAR.S199126
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author Drokow, Emmanuel Kwateng
Sun, Kai
Ahmed, Hafiz Abdul Waqas
Akpabla, Gloria Selorm
Song, Juanjuan
Shi, Mingyue
author_facet Drokow, Emmanuel Kwateng
Sun, Kai
Ahmed, Hafiz Abdul Waqas
Akpabla, Gloria Selorm
Song, Juanjuan
Shi, Mingyue
author_sort Drokow, Emmanuel Kwateng
collection PubMed
description Purpose: Recent studies have validated microRNAs (miRNAs) as a diagnostic biomarker for haematological cancers. This study aimed to estimate the overall diagnostic accuracy of circulating miRNAs in haematological malignancies. Materials and Methods: Multiple databases (Google Scholar, PubMed, EMBASE, Cochrane Library,) were searched until 19(th) August 2017. Results: The meta-analysis included 50 studies from 20 publications. The diagnostic accuracy was assessed by pooled specificity, sensitivity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and area under the curve area (AUC) by random effect model. We used QUADAS (Quality Assessment for diagnostic accuracy studies) to evaluate the quality of the included studies. To perform the meta-analysis, we used Meta-Disk 1.4, Revman 5.3 and Stata 12.0 software. High diagnostic accuracy was demonstrated, with a sensitivity of 0.81, a specificity of 0.85, a PLR of 5.28, an NLR of 0.22, a DOR of 30.39, and an AUC of 0.91. Subgroup analyses showed better outcomes for the African population, combined miRNAs and leukaemia patients compared with other subgroups. Conclusion: Our results indicated that circulating miRNAs especially combined miRNA can be used as a diagnostic marker in haematological cancers.
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spelling pubmed-65205962019-06-12 Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis Drokow, Emmanuel Kwateng Sun, Kai Ahmed, Hafiz Abdul Waqas Akpabla, Gloria Selorm Song, Juanjuan Shi, Mingyue Cancer Manag Res Original Research Purpose: Recent studies have validated microRNAs (miRNAs) as a diagnostic biomarker for haematological cancers. This study aimed to estimate the overall diagnostic accuracy of circulating miRNAs in haematological malignancies. Materials and Methods: Multiple databases (Google Scholar, PubMed, EMBASE, Cochrane Library,) were searched until 19(th) August 2017. Results: The meta-analysis included 50 studies from 20 publications. The diagnostic accuracy was assessed by pooled specificity, sensitivity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and area under the curve area (AUC) by random effect model. We used QUADAS (Quality Assessment for diagnostic accuracy studies) to evaluate the quality of the included studies. To perform the meta-analysis, we used Meta-Disk 1.4, Revman 5.3 and Stata 12.0 software. High diagnostic accuracy was demonstrated, with a sensitivity of 0.81, a specificity of 0.85, a PLR of 5.28, an NLR of 0.22, a DOR of 30.39, and an AUC of 0.91. Subgroup analyses showed better outcomes for the African population, combined miRNAs and leukaemia patients compared with other subgroups. Conclusion: Our results indicated that circulating miRNAs especially combined miRNA can be used as a diagnostic marker in haematological cancers. Dove 2019-05-10 /pmc/articles/PMC6520596/ /pubmed/31190996 http://dx.doi.org/10.2147/CMAR.S199126 Text en © 2019 Drokow et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Drokow, Emmanuel Kwateng
Sun, Kai
Ahmed, Hafiz Abdul Waqas
Akpabla, Gloria Selorm
Song, Juanjuan
Shi, Mingyue
Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis
title Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis
title_full Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis
title_fullStr Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis
title_full_unstemmed Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis
title_short Circulating microRNA as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis
title_sort circulating microrna as diagnostic biomarkers for haematological cancers: a systematic review and meta-analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6520596/
https://www.ncbi.nlm.nih.gov/pubmed/31190996
http://dx.doi.org/10.2147/CMAR.S199126
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