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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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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. |
format | Online Article Text |
id | pubmed-5410249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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