Title of article :
Differential expression of miR-1297, miR-3191-5p, miR-4435, and miR-4465 in malignant and benign breast tumors
Author/Authors :
Mosapour, Abbas Department of Clinical Biochemistry - Faculty of Medical Sciences - Tarbiat Modares University, Tehran , Karami Tehrani, Fatemeh Soghra Department of Clinical Biochemistry - Faculty of Medical Sciences - Tarbiat Modares University, Tehran , Atri, Morteza Department of Surgery - Faculty of Medicine - Tehran University of Medical Sciences, Tehran
Abstract :
Objective(s): MicroRNAs (miRs) are a class of small non-coding RNAs which are associated with
tumor growth and progression. In the present study, we assessed the expression of selected miRs in
malignant, benign, and adjacent normal breast tissues.
Materials and Methods: The expression of miR-1297, miR-3191-5P, miR-4435, and miR-4465 were
evaluated in malignant (n=50), benign (n=35), and adjacent normal breast tissues (n=20) using qRTPCR.
Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were
generated for evaluating the diagnostic values of miRs. To evaluate diagnostic efficacy, miRs-based
score was obtained using the logistic regression model.
Results: Among malignant tumors, the expression of miR-1297, miR-3191-5p, and miR-4435 was
significantly lower (P=0.024, P<0.001 and P=0.031), respectively. The expression of miR-4465 was
higher (P=0.023) than that of normal tissue. The expression of these miRs was lower than those
of benign tumors (P<0.01, P<0.001, P<0.0001, and P<0.01, respectively). We observed a positive
correlation between miR-4465 expression levels and tumor stage (P=0.042) and a negative correlation
with grade and Ki-67 score (P<0.05). The AUCs for miR-1297, miR-3191-5p, miR-4435, and miR-4465
in malignant tumors versus normal tissues were 0.784, 0.700, 0.976, and 0.865 and versus benign
tumors they were 0.938, 0.857, 0.981, and 0.785, respectively. The optimal logit(P) value of 0.262
distinguished malignant from normal subjects with a sensitivity of 0.91, specificity of 0.85, and an
overall accuracy of 0.89.
Conclusion: The panel of these miRs are suggested as possible onco-miRs(miR-4465) or tumor
suppressor-miRs (miR-3191-5P, miR-1297, miR-4435). Overall, our results indicated that these miRs
could be introduced as diagnostic biomarkers in breast cancer patients.
Keywords :
Biomarker , Breast cancer , Diagnosis , miR (MicroRNA) , OncomiR