Circulating microRNAs as Potential Biomarkers for the Diagnosis of Endometrial Cancer: a Meta-Analysis

Abstract

Endometrial cancer (EC) is the most common female genital tract malignancy worldwide. Many investigators have confirmed the possibility of using circulating miRNAs to diagnose EC; however, the results were inconsistent. Therefore, we performed the current meta-analysis to systematically evaluate the diagnostic value of circulating miRNAs in EC. We carefully searched relevant articles published prior to February 15, 2022 in the databases of PubMed, Embase, Web of Science, Cochrane Library, Wanfang database, and China National Knowledge Infrastructure (CNKI) based on PRISMA statement. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated to test the diagnostic accuracy. Furthermore, subgroup analyses were performed to identify the potential sources of heterogeneity, and the Deeks' funnel plot asymmetry test was used to evaluate the potential publication bias. Twenty-one studies from 12 articles including a total of 2305 participants (1341 EC patients and 964 controls) were included in the current diagnostic meta-analysis. The overall pooled results of miRNA for EC diagnosis were: sensitivity, 0.84 (95% CI: 0.79-0.88); specificity, 0.87 (95% CI: 0.79-0.91); PLR, 6.3 (95% CI: 3.9-10.0); NLR, 0.18 (95% CI: 0.13-0.25); DOR, 35 (95% CI: 17-71); and AUC was 0.91 (95% CI: 0.89-0.94). Subgroup analysis suggested that miRNA cluster, serum type, and large sample sizes showed a better diagnostic accuracy. Moreover, there was no significant publication bias. Circulating miRNAs have great potential as novel non-invasive biomarkers for EC diagnosis.

Keywords: Endometrial cancer; Meta-analysis; MicroRNA, Diagnosis.