Circulating microRNAs for Early Diagnosis of Ovarian Cancer: A Systematic Review and Meta-Analysis

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In this study, we conducted a systematic review and meta-analysis to summarize and evaluate the global research potential of different circulating miRNAs as an early diagnostic biomarker for OC. A systematic literature search for relevant studies was conducted in June 2020 and followed up in November 2021. The search was conducted in English databases (PubMed, ScienceDirect). The primary search resulted in a total of 1887 articles, which were screened according to the prior established inclusion and exclusion criteria. We identified 44 relevant studies, of which 22 were eligible for the quantitative meta-analysis. Statistical analysis was performed using the Meta-package in Rstudio. Standardized mean differences (SMD) of relative levels between control subjects and OC patients were used to evaluate the differential expression. All studies were quality evaluated using a Newcastle–Ottawa Scale. Based on the meta-analysis, nine miRNAs were identified as dysregulated in OC patients compared to controls. Nine were upregulated in OC patients compared to controls (miR-21, -125, -141, -145, -205, -328, -200a, -200b, -200c). Furthermore, miR-26, -93, -106 and -200a were analyzed, but did not present an overall significant difference between OC patients and controls. These observations should be considered when performing future studies of circulating miRNAs in relation to OC: sufficient size of clinical cohorts, development of consensus guidelines for circulating miRNA measurements, and coverage of previously reported miRNAs.

Original languageEnglish
Article number871
JournalBiomolecules
Volume13
Issue number5
Number of pages16
ISSN2218-273X
DOIs
Publication statusPublished - 2023

Bibliographical note

Funding Information:
Post-doctoral grant from the Danish Diabetes Academy (DDA) supported by the Novo Nordisk Foundation was awarded to AES. The other authors have no conflicting interests to declare.

Funding Information:
This work was supported by Roskilde University intramural funds and Region Zealand University Hospital.

Publisher Copyright:
© 2023 by the authors.

    Research areas

  • biomarker, diagnostics, meta-analysis, microRNA, miR-106, miR-141, miR-200b, miR-200c, miR-205, miR-21, miR-26, miR-328, miR-429, ovarian cancer, systematic review

ID: 374051050