MicroRNAs as novel biomarkers for pancreatic cancer diagnosis: a meta-analysis based on 18 articles

Zhongyang Ding1, Haorong Wu, Jiaming Zhang

  • 1Department of General Surgery, Wuxi People's Hospital of Nanjing Medical University, No. 299, Qingyang Road, Wuxi, 214023, China.

Insights

Dysregulated microRNAs (miRNAs) show diagnostic potential for pancreatic cancer (PaC). This meta-analysis confirms miRNAs offer high sensitivity and specificity for PaC detection, especially when multiple miRNAs are used.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • MicroRNAs (miRNAs) are implicated in pancreatic cancer (PaC) pathogenesis.
  • Dysregulated miRNAs are potential diagnostic biomarkers for PaC.
  • Previous studies on miRNA diagnostic value for PaC yielded conflicting results.

Purpose of the Study:

  • To quantitatively evaluate the diagnostic accuracy of miRNAs for pancreatic cancer.
  • To consolidate existing evidence on miRNAs as biomarkers for PaC detection.

Main Methods:

  • Systematic literature search across multiple databases (PubMed, Embase, Google Scholar, Cochrane Library, CNKI).
  • Inclusion of 18 studies with 2,036 PaC patients and 1,444 controls.
  • Meta-analysis using summary receiver operator characteristic (sROC) curves and QUADAS-2 for quality assessment.

Main Results:

  • Pooled sensitivity: 82%, specificity: 77%, AUC: 0.86.
  • Multiple miRNAs profiling and non-blood-based assays demonstrated higher diagnostic accuracy.
  • Subgroup analyses indicated significant differences in diagnostic performance based on assay type and control group.

Conclusions:

  • miRNAs possess significant diagnostic potential for pancreatic cancer with good sensitivity and specificity.
  • Utilizing multiple miRNAs, particularly in non-blood-based assays, enhances PaC diagnostic accuracy.
  • Further prospective studies are warranted to validate the diagnostic utility of miRNAs for PaC.

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