Evaluation of Expressed MicroRNAs as Prospective Biomarkers for Detection of Breast Cancer
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Date
23/03/2022
Journal Title
Journal ISSN
Volume Title
Type
Article
Publisher
MDPI
Series Info
Diagnostics;2022, 12, 789.
Scientific Journal Rankings
Abstract
Background: Early detection and screening of breast cancer (BC) might help improve
the prognosis of BC patients. This study evaluated the use of serum microRNAs (miRs) as non-
invasive biomarkers in BC patients. Methods: Using quantitative real-time polymerase chain reaction,
we evaluated the serum expression of four candidate miRs (miR-155, miR-373, miR-10b, and miR-
34a) in 99 Egyptian BC patients and 40 healthy subjects (as a control). The miRs expression was
correlated with clinicopathological data. In addition, the sensitivity and specificity of the miRs were
determined using receiver operating characteristic (ROC) curve analysis. Results: Serum miR-155,
miR-373, and miR-10b expression were significantly upregulated (p < 0.001), while serum miR-34a
was downregulated (p < 0.00) in nonmetastatic (M0) BC patients compared to the control group.
In addition, serum miR-155 and miR-10b were upregulated in BC patients with large tumor sizes
and extensive nodal involvement (p < 0.001). ROC curve analysis showed high diagnostic accuracy
(area under the curve = 1.0) when the four miRs were combined. Serum miR-373 was significantly
upregulated in the human epidermal growth factor 2–negative (p < 0.001), estrogen receptor–positive
(p < 0.005), and progesterone receptor (PR)-positive (p < 0.024) in BC patients, and serum miR-155
was significantly upregulated in PR-negative (p < 0.001) BC patients while both serum miR-155 and
miR-373 were positively correlated with the tumor grade. Conclusions: Circulating serum miR-155,
miR-373, miR-10b, and miR-34a are potential biomarkers for early BC detection in Egyptian patients
and their combination shows high sensitivity and specificity.
Description
Scopus
Keywords
breast cancer patients, MicroRNAs, serum, early detection, sensitivity, specificity