Accuracy of combined serum micro RNA 21 and micro RNA let 7g expression level in breast cancer diagnosis

Document Type : Original Article

Authors

1 Cancer Management & Research- Medical Research Institute- Alexandria University

2 Department of Chemical Pathology- Medical Research Institute- Alexandria University

3 Department of Medical Biochemistry -Faculty of Medicine -Alexandria University.

4 Department of Biomedical Informatics and Medical Statistics, Medical Research Institute- Alexandria University

Abstract

Abstract: Micro RNAs are single-stranded non-coding RNA molecules that regulate biological processes by inhibiting post-transcriptional activity. Many diseases including breast cancer have uncontrolled levels of microRNA. The current work aims to highlight the importance of miRNA let7g and miRNA 21 expression in blood for early detection of breast cancer. Methodology: Using quantitative real-time polymerase chain reaction the serum expression levels of micro RNA 21 and micro RNA let7g were evaluated in 52 female patients with primary breast cancer and 28 matched healthy females as a control group. Results: Serum expression level of micro RNA 21was highly increased in breast cancer patients when compared to the control group, while the serum expression levels of micro RNA let7g recorded a lower level in breast cancer patients when compared to control group and these differences were statistically significant. On studying the relation between the expression levels of the measured parameters and the different clinicopathological characteristics; a positive significant correlation was found between CA15.3 and microRNA 21 levels. A negative significant correlation was present between miRNA let7g levels and HER2, as well as with molecular subtype prognostic ranking. Receiver operating characteristic curve of both markers were exploited at a cut off points 0.82 and 1.785 respectively and showed a 100% sensitivity, 67.8% specificity. Conclusion: The effectiveness of serum mi RNA21 and mi RNA let7g as diagnostic biomarkers for detecting breast cancer has been convincingly proven. This innovative idea could be used to create a complementary tool for disease diagnosis, prognosis, and screening.

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