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

Oncotarget

Scientific Research Center, Shanghai Public Health Clinical Center, Fudan University, Jinshan District, Shanghai 201508, P.R. China.

Published: April 2017

AI Article Synopsis

  • Pancreatic cancer is a highly lethal GI tumor, and while many studies have explored miRNAs as biomarkers, their reliability is uncertain due to varying lab results.
  • A meta-analysis of 29 articles involving 2,225 patients and 1,618 controls showed that using multiple miRNAs improved diagnostic accuracy, with 85% sensitivity and 89% specificity compared to single miRNAs.
  • Subgroup analysis revealed differences in miRNA effectiveness between Caucasian and Asian populations, highlighting the need for further research to solidify these findings.

Article 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 I2 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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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410249PMC
http://dx.doi.org/10.18632/oncotarget.15148DOI Listing

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