@article {187551, title = {Circulating miR-34a and miR-125b as Promising non Invasive Biomarkers in Egyptian Locally Advanced Breast Cancer Patients.}, journal = {Asian Pacific journal of cancer prevention : APJCP}, volume = {20}, year = {2019}, pages = {2749-2755}, abstract = {

Background: Breast cancer (BC) is the second most common cancer worldwide. MicroRNAs are a group of
non-coding, single stranded RNAs of ~ 22 nucleotides, which regulate gene expression at the post-transcriptional level.
Circulating miRNAs have been found as potential blood based predictive biomarkers. Purpose: we aim to evaluate
miR-34a and miR-125b to predict outcome from neoadjuvant chemotherapy in Egyptian BC patients. Methodology:
Quantitative assessment of plasma miR-34a and miR-125b expression was performed by qRT-PCR. Thirty nine
newly diagnosed locally advanced BC female patients with 10 age and sex matched healthy volunteers were included
in the study. Results: We performed ROC curve analysis to evaluate the diagnostic value for the miR-34a with
AUCs = 0.995, cutoff point of 2.57 sensitivity 97.4\%, specificity 100\%, PPV 100\%, NPV 83.3\% and accuracy 97.7\%.
miR-125b had AUC = 0.68 and a cutoff point of 8.69 with sensitivity 66.7\%, specificity 70.0\%, PPV 90.6\%, NPV
41.2\% and accuracy 73.5\%. miR-34a expression were significantly higher in BC patients compared to controls with p
value \<0.001*. Also, miR-34a expression level was significantly higher in patients with progressive disease with P value
=0.03*. However, miR-125b expression levels were insignificantly higher in responsive patients with p value = 0.2.
Conclusion: miRNAs are crucial candidates for novel molecular targeted therapies due to their capability to regulate
numerous genes in molecular pathways. Our data suggest that circulating miR-34a and miR-125b expression levels
could be promising highly accurate non-invasive biomarkers in diagnosing BCs. miR-34a can predict chemotherapeutic
resistance associated with higher expression levels in non-responsive patients.

}, author = {Neemat M Kassem and Wael S Makar and Hebatallah A. Kassem and Soha Talima and Tarek, Mustafa and Hesham, Hadeer and Mohamed A. El-Desouky} }