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Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis
- Source :
- Oncotarget
- Publication Year :
- 2017
- Publisher :
- Impact Journals, LLC, 2017.
-
Abstract
- // Zenglin Pei 1 , Song-Mei Liu 2 , Jing-Tao Huang 2 , Xuan Zhang 1 , Dong Yan 3 , Qianlin Xia 1 , Chunxia Ji 1 , Weiping Chen 4 , Xiaoyan Zhang 1 , Jianqing Xu 1 , Jin Wang 1 1 Scientific Research Center, Shanghai Public Health Clinical Center, Fudan University, Jinshan District, Shanghai 201508, P.R. China 2 Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, Hubei 430071, P.R. China 3 Department of Medical Oncology, Beijing Chaoyang Hospital affiliated to Capital Medical University, Beijing, China 4 Genomics Core, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD 20892, USA Correspondence to: Jin Wang, email: wangjin@shaphc.org Keywords: pancreatic cancer, meta-analysis, diagnostics, multiple miRNA, SROC Received: October 24, 2016 Accepted: January 25, 2017 Published: February 07, 2017 ABSTRACT 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.
- Subjects :
- 0301 basic medicine
Oncology
medicine.medical_specialty
SROC
pancreatic cancer
multiple miRNA
MEDLINE
Disease
03 medical and health sciences
0302 clinical medicine
Internal medicine
Pancreatic cancer
diagnostics
Biomarkers, Tumor
medicine
Humans
Paca
Receiver operating characteristic
biology
business.industry
Case-control study
Area under the curve
Prognosis
medicine.disease
biology.organism_classification
meta-analysis
Pancreatic Neoplasms
MicroRNAs
030104 developmental biology
Case-Control Studies
030220 oncology & carcinogenesis
Meta-analysis
business
Research Paper
Subjects
Details
- ISSN :
- 19492553
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Oncotarget
- Accession number :
- edsair.doi.dedup.....f1dcbffc5941c245ea4036a43bb35416