Evaluation of the Potential of the MicroRNAs to Predict Chemotherapy Resistance in Breast Cancer Patients: A Systemic Review with Meta-analysis

Document Type : Review Article

Authors

1 Department of Pharmacology and Pharmaceutical Sciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

2 Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

3 Department of Internal Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran

4 Faculty of Medicine, Shahrekord University of Medical Sciences, Shahrekord, Iran

Abstract

Background and aim: Breast cancer is the most common cancer diagnosed in women. In predicting the survival rate of breast cancer patients, factors such as age, race, spread of the disease, stage of diagnosis, and involvement of lymph nodes are involved. In this study, the potential of the microRNAs to predict chemotherapy resistance in breast cancer patients has been investigated.
Material and methods: In the present systematic review and meta-analysis, information about microRNAs to predict chemotherapy resistance in breast cancer patients in all articles published until the end of May 2023 through searching in databases PubMed, Scopus, Science Direct, ISI, Web of Knowledge, Elsevier, Wiley, and Embase and Google Scholar search engine were extracted using keywords and their combinations by two trained researchers independently. Data analysis was done using the fixed effects model in the meta-analysis by STATA (version 17); a p-value less than 0.05 was considered significant.
Results: Eight studies with a sample size of 509 breast cancer patients were included in the meta-analysis. The chemotherapeutic response of miRNAs in breast cancer patients receiving chemotherapy was 0.56 (ES, 95% CI: -1.30, 2.42; 0.03. I2 =0(p=1.00)).
Conclusions: The meta-analysis of the present study shows that there is a statistical relationship between predicting chemotherapy resistance and miRNA expression in breast cancer patients.

Keywords

Main Subjects

References

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International Journal of Scientific Research in Dental and Medical Sciences
Volume 5, Issue 3 - Serial Number 3
September 2023
Pages 135-140

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History

  • Receive Date: 02 June 2023
  • Revise Date: 15 July 2023
  • Accept Date: 24 July 2023

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