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Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis

BACKGROUND: Pancreatic cancer (PaCa) is the most lethal gastrointestinal (GI) tumor. Although many studies on differentially expressed miRNAs as candidate biomarkers of pancreatic cancer have been published, reliability of these findings generated from investigations performed in single laboratory s...

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Autores principales: Pei, Zenglin, Liu, Song-Mei, Huang, Jing-Tao, Zhang, Xuan, Yan, Dong, Xia, Qianlin, Ji, Chunxia, Chen, Weiping, Zhang, Xiaoyan, Xu, Jianqing, Wang, Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410249/
https://www.ncbi.nlm.nih.gov/pubmed/28186984
http://dx.doi.org/10.18632/oncotarget.15148
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author Pei, Zenglin
Liu, Song-Mei
Huang, Jing-Tao
Zhang, Xuan
Yan, Dong
Xia, Qianlin
Ji, Chunxia
Chen, Weiping
Zhang, Xiaoyan
Xu, Jianqing
Wang, Jin
author_facet Pei, Zenglin
Liu, Song-Mei
Huang, Jing-Tao
Zhang, Xuan
Yan, Dong
Xia, Qianlin
Ji, Chunxia
Chen, Weiping
Zhang, Xiaoyan
Xu, Jianqing
Wang, Jin
author_sort Pei, Zenglin
collection PubMed
description BACKGROUND: Pancreatic cancer (PaCa) is the most lethal gastrointestinal (GI) tumor. Although many studies on differentially expressed miRNAs as candidate biomarkers of pancreatic cancer have been published, reliability of these findings generated from investigations performed in single laboratory settings remain unclear. RESULTS: There were 29 articles with a total of 2,225 patients and 1,618 controls included in this meta-analysis. The pooled sensitivity was 82% (95% CI, 79–85%); the specificity was 85% (95% CI, 79–89%); and area under the curve (AUC) was 0.89 (95% CI, 0.86–0.92). Subgroup analyses indicated that there were significant divergences between Caucasian and Asian subgroups for circulating miRNA analysis. MATERIALS AND METHODS: To comprehensively investigate the potential utility of miRNAs as biomarkers of the disease, we searched publications diagnosing PaCa using miRNAs from PubMed, Medline, Embase, Google Scholar and Chinese National Knowledge Infrastructure (CNKI) databases. The sensitivity (SEN), specificity (SPE), and summary receiver operating characteristic (SROC) curve were used to examine the overall test performance, and heterogeneity was analyzed with the I(2) test. CONCLUSIONS: Our analysis demonstrated that multiple miRNAs (SEN: 85%; SPE: 89%; AUC: 0.93) were more accurate for diagnosing PaCa than a single miRNA (SEN: 78%; SPE: 79%; AUC: 0.84), and future studies are still needed to confirm the diagnostic value of these pooled miRNAs for PaCa.
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spelling pubmed-54102492017-05-04 Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis Pei, Zenglin Liu, Song-Mei Huang, Jing-Tao Zhang, Xuan Yan, Dong Xia, Qianlin Ji, Chunxia Chen, Weiping Zhang, Xiaoyan Xu, Jianqing Wang, Jin Oncotarget Research Paper BACKGROUND: Pancreatic cancer (PaCa) is the most lethal gastrointestinal (GI) tumor. Although many studies on differentially expressed miRNAs as candidate biomarkers of pancreatic cancer have been published, reliability of these findings generated from investigations performed in single laboratory settings remain unclear. RESULTS: There were 29 articles with a total of 2,225 patients and 1,618 controls included in this meta-analysis. The pooled sensitivity was 82% (95% CI, 79–85%); the specificity was 85% (95% CI, 79–89%); and area under the curve (AUC) was 0.89 (95% CI, 0.86–0.92). Subgroup analyses indicated that there were significant divergences between Caucasian and Asian subgroups for circulating miRNA analysis. MATERIALS AND METHODS: To comprehensively investigate the potential utility of miRNAs as biomarkers of the disease, we searched publications diagnosing PaCa using miRNAs from PubMed, Medline, Embase, Google Scholar and Chinese National Knowledge Infrastructure (CNKI) databases. The sensitivity (SEN), specificity (SPE), and summary receiver operating characteristic (SROC) curve were used to examine the overall test performance, and heterogeneity was analyzed with the I(2) test. CONCLUSIONS: Our analysis demonstrated that multiple miRNAs (SEN: 85%; SPE: 89%; AUC: 0.93) were more accurate for diagnosing PaCa than a single miRNA (SEN: 78%; SPE: 79%; AUC: 0.84), and future studies are still needed to confirm the diagnostic value of these pooled miRNAs for PaCa. Impact Journals LLC 2017-02-07 /pmc/articles/PMC5410249/ /pubmed/28186984 http://dx.doi.org/10.18632/oncotarget.15148 Text en Copyright: © 2017 Pei et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Pei, Zenglin
Liu, Song-Mei
Huang, Jing-Tao
Zhang, Xuan
Yan, Dong
Xia, Qianlin
Ji, Chunxia
Chen, Weiping
Zhang, Xiaoyan
Xu, Jianqing
Wang, Jin
Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis
title Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis
title_full Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis
title_fullStr Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis
title_full_unstemmed Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis
title_short Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis
title_sort clinically relevant circulating microrna profiling studies in pancreatic cancer using meta-analysis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410249/
https://www.ncbi.nlm.nih.gov/pubmed/28186984
http://dx.doi.org/10.18632/oncotarget.15148
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