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. 2018 Jun 5:9:685.
doi: 10.3389/fphys.2018.00685. eCollection 2018.

Blood-Derived microRNAs for Pancreatic Cancer Diagnosis: A Narrative Review and Meta-Analysis

Xiaodong Li  1   2   3 , Pujun Gao  4 , Yang Wang  5 , Xiaocong Wang  1   2   3
Affiliations

Blood-Derived microRNAs for Pancreatic Cancer Diagnosis: A Narrative Review and Meta-Analysis

Xiaodong Li et al. Front Physiol. .

Abstract

microRNAs (miRNAs) have been reported to be aberrantly expressed in patients with pancreatic cancer. In present review we explored the biological roles of miRNAs in pancreatic cancer and their clinical value in diagnosis. In the systematic review, the potential value of miRNAs as biomarkers was investigated by reviewing the altered miRNA profiles reported in pancreatic cancer patients in 356 included studies. In the subsequent meta-analysis, we included 17 studies in early diagnosis of pancreatic cancer with a panel of altered miRNAs. The following results were obtained: pooled sensitivity of 0.88 (95% confidence interval [CI] 0.83-0.92), pooled specificity of 0.83 (95%CI 0.77-0.88), diagnostic odds ratio of 27 (95%CI 14-53), and area under the receiver operating characteristic curve of 0.90 (95%CI 0.88-0.93). To further explore the value of a single miRNA, the diagnostic value of miR-21 in PA was also demonstrated by the pooled sensitivity (0.90, 95% CI: 0.82-0.94), specificity (0.72, 95% CI: 0.57-0.83) as well as AUC (0.91 (95%CI 0.88-0.93). In conclusion, our findings suggest that aberrant miRNA expression in blood play an essential role in pancreatic cancer, and meta-analysis revealed blood-derived miRNAs as probable biomarkers for early diagnosis of pancreatic cancer.

Keywords: blood; diagnosis; differential; meta-analysis; microRNAs; pancreatic cancer.

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Figures

Figure 1
Figure 1
Process of study selection.
Figure 2
Figure 2
Forrest plot of estimates of sensitivity and specificity.
Figure 3
Figure 3
Forrest plot of estimates of DOR.
Figure 4
Figure 4
Summary receiver operating characteristic (SROC) curve.
Figure 5
Figure 5
Fagan's Nomogram for assessment of post-test probabilities.
Figure 6
Figure 6
Forrest plots from multivariable meta-regression and subgroup analyses for sensitivity and specificity.
Figure 7
Figure 7
Diagnostic value of miR-21 on pancreatic cancer. (A) Forrest plot of estimates of sensitivity and specificity (B) Summary receiver operating characteristic (SROC) curve.
Figure 8
Figure 8
Deek's funnel plot for the assessment of publication bias.
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