A systematic review and meta-analysis of miRNAs for the detection of cervical cancer

Author:

Hillyar Christopher RT12ORCID,Kanabar Shivani S3,Pufal Kamil R4,Saw Hee Joshua Li5,Lawson Alexander W6,Mohamed Yethrib7,Jasim Duha8,Reed Lara9,Rallis Kathrine S1011ORCID,Nibber Anjan112

Affiliation:

1. Green Templeton College, University of Oxford, Oxford, OX2 6HG, UK

2. Elderly Care, Royal Berkshire Hospital NHS Foundation Trust, Reading, RG1 5AN, UK

3. General Surgery, Sandwell General Hospital, Sandwell & West Birmingham NHS Trust, West Bromwich, B71 4HJ, UK

4. General Surgery, Queens Hospital Burton, University Hospitals of Derby and Burton NHS Trust, Burton-on-Trent, DE13 0RB, UK

5. Renal Unit, New Cross Hospital, The Royal Wolverhampton NHS Trust, Wolverhampton, WV10 0QP, UK

6. General Surgery, New Cross Hospital, The Royal Wolverhampton NHS Trust, Wolverhampton, WV10 0QP, UK

7. General Surgery, Birmingham Heartlands Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, B9 5SS, UK

8. Intensive Care, Maidstone & Tunbridge Wells NHS Trust, Tunbridge Wells Hospital, Tunbridge Wells, TN2 4QJ, UK

9. General Surgery, Weston General Hospital, University Hospitals Bristol and Weston NHS Foundation Trust, Weston-super-Mare, BS23 4TQ, UK

10. Division of Hematology-Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA

11. Center for Hematology-Oncology, Barts Cancer Institute, Queen Mary University of London, London, EC1M 6AU, UK

12. Nuffield Department of Population Health, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, OX3 9DU, UK

Abstract

Aim: This study aimed to critically appraise the evidence of the diagnostic effectiveness of miRNAs for the detection of cervical cancer. Methods & materials: A systematic review and meta-analysis was performed, searching PubMed, EMBASE and Web of Science. An umbrella meta-analysis of meta-analyses of individual biomarkers was performed. A Grading of Recommendations, Assessment, Development and Evaluations (GRADE) assessment of evidence was also performed. Results: A total of 52 miRNAs were included. Umbrella meta-analysis revealed significant heterogeneity in terms of sensitivity, specificity, receiver operating characteristic (ROC), positive predictive value and/or negative predictive value. Umbrella effects were 0.76 (95% CI: 0.73–0.78), 0.78 (95% CI: 0.75–0.81), 0.77 (95% CI: 0.75–0.80), 0.75 (95% CI: 0.71–0.79) and 0.76 (95% CI: 0.74–0.79), respectively. Conclusion: Moderate quality evidence suggested miR199a-5p, miR21-5p and miR-141a had excellent diagnostic performance.

Publisher

Future Medicine Ltd

Subject

Cancer Research,Genetics

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