Li Hao, An Xinglan, Li Qi, Yu Hao, Li Ziyi
Key Laboratory of Organ Regeneration and Transplantation of Ministry of Education, First Hospital, Jilin University, Changchun, Jilin 130021, P.R. China.
College of Animal Sciences, Jilin University, Changchun, Jilin 130062, P.R. China.
Oncol Lett. 2021 Feb;21(2):104. doi: 10.3892/ol.2020.12365. Epub 2020 Dec 10.
Previous research has proven that 6-thioguanine (6-TG) inhibits the growth of MCF-7 breast cancer cells. Accumulating evidence indicates that long non-coding (lnc)RNAs are involved in the development of various cancer types as competitive endogenous (ce)RNA molecules. The present study was conducted to investigate the regulatory mechanism underlying the function of lncRNAs as ceRNA molecules in MCF-7 cells and to identify more effective prognostic biomarkers for breast cancer treatment. The expression profiles of lncRNAs in untreated MCF-7 cells and 6-TG-treated MCF-7 cells were compared by RNA-seq. The regulatory associations among lncRNAs, micro (mi)RNAs and mRNAs were analyzed and verified by the TargetScan, miRDB and miRTarBas databases. The ceRNA networks were constructed by Cytoscape. The expression levels of two lncRNAs and two miRNAs in the ceRNA network were measured by reverse transcription-quantitative PCR. The OncoLnc and Kaplan-Meier plotter network databases were utilized to determine the effects of lncRNA and miRNA expression on the survival of patients with breast cancer. A ceRNA network was constructed for MCF-7 breast cancer cells treated with 6-TG, and this network may provide valuable information for further research elucidating the molecular mechanism underlying the effects of 6-TG on breast cancer. Moreover, LINC00324, MIR22HG, miR-370-3p and miR-424-5p were identified as potential prognostic and therapeutic biomarkers for breast cancer.
先前的研究已证明6-硫鸟嘌呤(6-TG)可抑制MCF-7乳腺癌细胞的生长。越来越多的证据表明,长链非编码(lnc)RNA作为竞争性内源性(ce)RNA分子参与了多种癌症类型的发展。本研究旨在探讨lncRNA作为ceRNA分子在MCF-7细胞中的功能调控机制,并确定更有效的乳腺癌治疗预后生物标志物。通过RNA测序比较了未处理的MCF-7细胞和6-TG处理的MCF-7细胞中lncRNA的表达谱。通过TargetScan、miRDB和miRTarBas数据库分析并验证了lncRNA、微小(mi)RNA和mRNA之间的调控关联。用Cytoscape构建ceRNA网络。通过逆转录定量PCR检测ceRNA网络中两个lncRNA和两个miRNA的表达水平。利用OncoLnc和Kaplan-Meier plotter网络数据库确定lncRNA和miRNA表达对乳腺癌患者生存的影响。构建了6-TG处理的MCF-7乳腺癌细胞的ceRNA网络,该网络可能为进一步研究阐明6-TG对乳腺癌作用的分子机制提供有价值的信息。此外,LINC00324、MIR22HG、miR-370-3p和miR-424-5p被鉴定为乳腺癌潜在的预后和治疗生物标志物。