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Expression Analysis of Selected Mir-206 Targets From the Transforming Growth Factor-Β Signaling Pathway in Breast Cancer Publisher Pubmed



Seifialan M1 ; Dianatpour A1 ; Geranpayeh L2 ; Mirfakhraie R1 ; Omrani M1 ; Ghafourifard S1
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Authors Affiliations
  1. 1. Department of Medical Genetics, Shahid Beheshti University of Medical Sciences, Velenjak, Tehran, Iran
  2. 2. Department of Surgery, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Cellular Biochemistry Published:2019


Abstract

Breast cancer as a molecularly heterogeneous malignancy is associated with dysregulation of several signaling pathways, including transforming growth factor-β (TGF-β) signaling. On the other hand, several recent studies have demonstrated the role of microRNAs (miRNAs) in breast cancer pathogenesis. In the current study, we performed a computerized search to find miR-206 target genes that are functionally linked to the TGF-β signaling pathway. We selected LEF1, Smad2, and Snail2 genes to assess their expression in 65 breast cancer samples and their adjacent noncancerous tissues (ANCTs) in correlation with expression levels of miR-206 as well as clinicopathological characteristics of patients. miR-206 was significantly downregulated in (Estrogen receptor) ER-positive breast cancer samples compared with their corresponding ANCTs. Association analysis between expression levels of genes and demographic features of patients showed significant association between expressions of SMAD2 and LEF1 genes and body mass index (P values of 0.03 and 0.02, respectively). miR-206 low-expression levels were associated with TNM stage, mitotic rate, and lymph node involvement (P values of 0.02, 0.01, and 0.01 respectively). In addition, SMAD2 high-expression levels were associated with HER2 status (P = 0.02). Consequently, our data highlight the role of TGF-β signaling dysregulation in the pathogenesis of breast cancer and warrant further evaluation of miRNAs and messenger RNA coding genes in this pathway to facilitate detection of cancer biomarkers and therapeutic targets. © 2019 Wiley Periodicals, Inc.
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