Department of Biochemistry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Department of Biochemistry and Student Research Committee, Semnan University of Medical School, Semnan, Iran.
Appl Biochem Biotechnol. 2018 Dec;186(4):1074-1089. doi: 10.1007/s12010-018-2773-8. Epub 2018 Jun 4.
Triple-negative breast cancer (TNBC) is a highly aggressive form of breast cancer. Aberrant expression of genes in mTOR pathway and their targeting miRNAs plays an important role in TNBC. The aim of this study was to determine the expression of mTOR and S6K1 and their targeting miRNAs in breast cancer cell lines and clinical samples. miRNAs targeting 3'-UTR of mTOR and S6K1 mRNAs were predicted using bioinformatic algorithms. MDA-MB-231, MCF-7, and MCF-10A as well as 20 TNBC samples were analyzed for gene and miRNA expression using quantitative real-time PCR (RT-qPCR). A receiver operating characteristic (ROC) curve analysis was performed for evaluation of candidate miRNAs as diagnostic biomarkers. miR-96 and miR-557 targeting mTOR and S6K1 mRNAs, respectively, were selected, and miR-3182 was selected as the miRNA targeting both genes. The miRNAs were down-regulated in cell lines, while their target mRNAs were up-regulated. Similar findings were observed in clinical samples. The ROC curve analysis revealed decline in expression of these miRNAs. We suggest that miR-96, miR-557, and miR-3182 can be used as inhibitory agents for mTOR and S6K1 in TNBC-targeted therapy.
三阴性乳腺癌(TNBC)是一种侵袭性很强的乳腺癌。mTOR 通路基因及其靶向 miRNA 的异常表达在 TNBC 中起着重要作用。本研究旨在确定 mTOR 和 S6K1 及其靶向 miRNA 在乳腺癌细胞系和临床样本中的表达。使用生物信息学算法预测靶向 mTOR 和 S6K1 mRNA 3'-UTR 的 miRNA。使用定量实时 PCR(RT-qPCR)分析 MDA-MB-231、MCF-7 和 MCF-10A 以及 20 个 TNBC 样本中的基因和 miRNA 表达。进行受试者工作特征(ROC)曲线分析,以评估候选 miRNA 作为诊断生物标志物的能力。分别选择靶向 mTOR 和 S6K1 mRNA 的 miR-96 和 miR-557,以及靶向两个基因的 miR-3182。这些 miRNA 在细胞系中表达下调,而其靶 mRNA 表达上调。在临床样本中也观察到类似的发现。ROC 曲线分析显示这些 miRNA 的表达下降。我们认为,miR-96、miR-557 和 miR-3182 可作为 TNBC 靶向治疗中 mTOR 和 S6K1 的抑制因子。