microRNAs as novel diagnostic biomarkers in endometriosis patients: a systematic review and meta-analysis

Narges Zafari, Afshin Bahramy, Masoumeh Majidi Zolbin, Sima Emadi Allahyari, Erfan Farazi, Zahra Hassannejad, Mir Saeed Yekaninejad
Expert review of molecular diagnostics · 2021 · vol. 22(4) , pp. 479–495 · doi:10.1080/14737159.2021.1960508 · PMID:34304687 · W3184817753
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This meta-analysis found that panels of microRNAs, particularly in serum, demonstrate high sensitivity and specificity for distinguishing endometriosis patients from non-endometriosis women.

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Abstract

Objective To investigate whether miRNAs have a remarkable pooled diagnostic accuracy, sensitivity, and specificity as noninvasive biomarkers to distinguish endometriosis patients from non-endometriosis women.Methods A comprehensive literature search of PubMed, Embase, and ProQuest was performed through February 21, 2021 to find relevant studies. Two reviewers independently screened each article, and discrepancies were resolved by consensus. Deeks’ funnel plot asymmetry test was performed to assess the publication bias of included studies. The STATA software and RevMan 5.4 were used for data analysis and quality assessment, respectively.Results The overall quality of the studies was moderate to high. In total 87 datasets were assessed miRNAs’ performance which results in sensitivity: 0.82, specificity: 0.79, DOR: 18, NPV: 0.80, PPV: 0.78, PLR: 3.97, and NLR: 022. We conducted subgroup analyses, which showed panels of miRNAs (DOR: 54) and serum (DOR: 43) as a target tissue was more reliable to utilize as biomarkers. Deeks’ funnel plot showed that there is no publication bias (P-value = 0.25).Conclusions Panels of miRNAs differentiate endometriosis patients from non-endometriosis women with high sensitivity and specificity; therefore, it has the potential to use as a noninvasive biomarker.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Endometriosis Endometriosis MicroRNAs MicroRNAs Biomarkers Female Humans

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

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