Blood-based microRNAs as Potential Diagnostic biomarkers for Melanoma: A Meta-analysis

Author:

Aalami Amir Hossein1,Sahebkar Amirhossein234,Abdeahad Hossein5,Mokhtari Ali1,Aalami Farnoosh6,Amirabadi Amir7,Aliabadi Ehsan Kargar8,Pirzade Omid9

Affiliation:

1. Department of Biology, Mashhad Branch, Islamic Azad University, Mashhad, Iran

2. Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran

3. Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran

4. Department of Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran

5. Department of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, Utah, USA

6. Student Research Committee, Faculty of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran

7. Department of Internal Medicine, Mashhad Medical Sciences Branch, Islamic Azad University, Mashhad, Iran

8. Biochemical Research Center, Department of Chemistry, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran

9. Department of English Language and Literature, Faculty of Literature and Humanities, Hakim Sabzevari University, Sabzevar, Iran

Abstract

Introduction: Circulating microRNAs (miRNAs) serve as noninvasive diagnostic markers in many cancers. This meta-analysis aims to evaluate the diagnostic efficacy of circulating microRNAs for melanoma. Material and Methods: The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and ROC curve were evaluated using the Meta-Disc V.1.4 and Comprehensive Meta-Analysis V.3.3 software packages. To investigate the heterogeneity, the I2 and Chi-square tests were used. The publishing bias was evaluated using Begg’s rank correlation and Egger regression asymmetry tests. Results: A total of 9 articles covering 13 studies (more than 50 miRs individually and in combination) were included, containing 1,355 participants (878 cases and 477 controls). The overall pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR), and AUC were 0.78 (95% CI: 0.76–0.81), 0.80 (95% CI: 0.77–0.83), 4.32 (95% CI: 3.21-5.82), 0.17 (95% CI: 0.09-0.32), 28.0 (95% CI: 15.34-51.09), and 0.91, respectively. According to Begg's and Egger's tests, there was no publication bias (Begg's p = 0.160 and Egger's p = 0.289). Conclusion: Circulating miRNAs can serve as fair and non-invasive diagnostic biomarkers for melanoma. Additionally, specific miRNAs still need to be discovered for diagnosing melanoma.

Publisher

Bentham Science Publishers Ltd.

Subject

Pharmacology,Molecular Medicine,Drug Discovery,Biochemistry,Organic Chemistry

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