Role of microRNAs in Predicting the Prognosis of Cervical Cancer Cases: A Systematic Review and Meta-Analysis

Document Type : Systematic Review and Meta-analysis

Authors

1 Manipal Institute of Virology, Manipal Academy of Higher Education, Manipal, Karnataka, India.

2 Department of Biostatistics, Vallabhbhai Patel Chest Institute, University of Delhi, Delhi, India.

Abstract

Aim: There is growing evidence for the possible use of microRNAs (miRNAs) in cancers as diagnostic as well as prognostic biomarkers in the present era of Personalized Medicine. The objective of the present systematic review and meta-analysis was to assess the prognostic role of microRNAs in uterine cervical cancers. Methods: A systematic review and meta-analysis was carried out searching electronic databases for published articles between January 2009 and August 2020 based on standard systematic review guidelines. Meta-analysis was performed by pooling the hazard ratio (HR) with 95% confidence interval (CI) to assess the prognostic value of deregulated miRNAs by the random-effects model. Results: In the present meta-analysis, the aberrant expression of 14 microRNAs in 1,526 uterine cervical cancer cases before definitive therapy from 14 case-control studies were assessed. The pooled HR of two miRNAs, miRNA-155 and miRNA-224 which were upregulated in cervical cancer tissues was 1.76 (95% CI 1.27-2.45) revealing significant association with overall poor survival. Meanwhile, the pooled HR was 1.53 (95% CI 0.94-2.94) when all the deregulated miRNAs in cervical cancer tissues were evaluated. The pooled HR of downregulated miRNAs was 1.46 (95% CI 0.81, 2.64). Meanwhile, the pooled HR of three upregulated miRNAs-425-5p, 196a, 205 in the serum sample was 1.37 (95% CI 0.45 -4.20). Conclusion: The downregulation of aberrant miRNAs was not associated with poor overall survival rates.

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Asian Pacific Journal of Cancer Prevention
Volume 22, Issue 4
April 2021
Pages 999-1006

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History

  • Receive Date: 27 November 2020
  • Revise Date: 23 February 2021
  • Accept Date: 30 March 2021

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