Bioinformatics-based interaction analysis of miR-92a-3p and key genes in tamoxifen-resistant breast cancer cells
Bioinformatics-based interaction analysis of miR-92a-3p and key genes in tamoxifen-resistant breast cancer cells
复制标题
基于生物信息学的 miR-92a-3p 与他莫昔芬耐药乳腺癌细胞关键基因的相互作用分析
DOI：
10.1016/j.biopha.2018.07.158
复制
发表时间：
2018-11-01
影响因子：
7.5
通讯作者：
Yang, Qifeng
中科院分区：
文献类型：
--
作者：
Cun, Jinjing;Yang, Qifeng
miR-92 a-3 p在多种肿瘤中均存在异常表达。然而，miR-92 a-3 p在他莫昔芬耐药细胞中的生物学作用和潜在机制仍然未知。本研究的主要目的是利用生物信息学方法寻找miR-92 a-3 p在三苯氧胺耐药中的调控通路，并构建其调控网络。从GEO数据库中检索了4个基因表达谱，并使用GEO 2 R工具进行分析。应用GSE 41922和GSE 42072研究乳腺癌血清和组织中的异常miR-92 a-3 p表达。我们发现miR-92 a-3 p在乳腺癌血清或组织中的表达高于健康志愿者血清或癌旁正常组织，miR-92 a-3 p的高表达可预测乳腺癌患者的不良预后。在我们的qRT-PCR验证中，我们发现miR-92 a-3 p在他莫昔芬耐药细胞中上调。miR-92 a-3 p可能在他莫昔芬耐药中起作用。目的探讨miR-92 a-3 p与三苯氧胺耐药细胞中一些关键基因的关系及其可能的分子机制。分析微阵列数据GSE 26459和GSE 28267以确定差异表达基因（DEG）或miRNA（DEM）。此外，用starBase v2.0筛选相关的长非编码RNA（lncRNA）。最后，利用microRNA.org、miRDB、targetminer和targetscan对miR-92 a-3 p的靶基因进行预测。通过分析，我们发现miR-92 a-3 p可能作为一种潜在的生物标志物，用于癌症的早期检测和内分泌治疗的疗效监测。
The abnormal expression of miR-92a-3p was detected in multiple cancers. However, the biological role and underlying mechanism of miR-92a-3p in tamoxifen-resistant cells are still unknown. The main objective of our study was to find potential miR-92a-3p regulating pathways involved in tamoxifen resistance and to construct their regulatory network using bioinformatics. Four gene expression profiles were retrieved from GEO database and the GEO2R tool was used for analysis. GSE41922 and GSE42072 were applied to investigate aberrant miR-92a-3p expression in breast cancer serum and tissue. We found that miR-92a-3p expression was higher in breast cancer serum or tissue than in healthy volunteer serum or adjacent normal tissue, and high expression of miR-92a-3p could predict poor prognosis of breast cancer patients. In our qRT-PCR validation, we found that miR-92a-3p was upregulated in tamoxifen-resistant cells. MiR-92a-3p might play a role in tamoxifen resistance. In order to find the relationship between miR-92a-3p and some key genes and their potential molecular mechanisms in tamoxifen-resistant cells. The microarray data GSE26459 and GSE28267 were analyzed to determine the differentially expressed genes (DEGs) or miRNAs (DEMs). Furthermore, the related long non-coding RNAs (lncRNAs) were screened with starBase v2.0. Finally, microRNA.org,miRDB, targetminer and targetscan were applied to predict the targets of miR-92a-3p. Through analysis, we find that miR-92a-3p may be used as a potential biomarker for early detection of cancer and monitoring the efficacy of endocrine therapy.