Diagnostic Accuracy of MiRNA Panels for Endometrial Cancer: A Systematic Review and Meta-Analysis

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OBJECTIVE: To systematically evaluate the diagnostic performance of miRNA panels for endometrial cancer. METHODS: PubMed, Web of Science, CNKI, Embase, and VIP were searched for eligible studies published through 2025. Study quality was assessed using QUADAS-2. Pooled sensitivity, specificity, diagnostic odds ratio (DOR), and the area under the summary receiver operating characteristic curve (AUC) were calculated using Meta-Disc 1.4, Review Manager 5.3, and Stata 17.0. RESULTS: Nine primary studies involving 531 participants and 9 independent diagnostic models were included. The pooled diagnostic score was 4.78 (95% CI: 3.86-5.71), and the pooled DOR was 119.50 (95% CI: 47.49-300.70). The pooled sensitivity and specificity were 0.90 (95% CI: 0.81-0.95) and 0.93 (95% CI: 0.89-0.96), respectively. The AUC was 0.94 (95% CI: 0.92-0.96). Subgroup analyses indicated that geographic region and sample type might contribute to heterogeneity. CONCLUSION: miRNA panels show good diagnostic accuracy for endometrial cancer, with high sensitivity, specificity, and overall discriminatory ability. However, substantial heterogeneity and methodological limitations require cautious interpretation, and further large-scale prospective studies are needed before routine clinical application.

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