Wang Junmin, Yan Yanyun, Zhang Zhiqi, Li Yali
College of Life Sciences, Hunan Normal University, Changsha, Hunan, China.
PeerJ. 2019 Sep 20;7:e7728. doi: 10.7717/peerj.7728. eCollection 2019.
Breast cancer is the leading cause of cancer-related death in women worldwide. Aberrant expression levels of miR-10b-5p in breast cancer has been reported while the molecular mechanism of miR-10b-5p in tumorigenesis remains elusive. Therefore, this study was aimed to investigate the role of miR-10b-5p in breast cancer and the network of its target genes using bioinformatics analysis. In this study, the expression profiles and prognostic value of miR-10b-5p in breast cancer were analyzed from public databases. Association between miR-10b-5p and clinicopathological parameters were analyzed by non-parametric test. Moreover, the optimal target genes of miR-10b-5p were obtained and their expression patterns were examined using starBase and HPA database. Additionally, the role of these target genes in cancer development were explored via Cancer Hallmarks Analytics Tool (CHAT). The protein-protein interaction (PPI) networks were constructed to further investigate the interactive relationships among these genes. Furthermore, GO, KEGG pathway and Reactome pathway analyses were carried out to decipher functions of these target genes. Results demonstrated that miR-10b-5p was down-regulated in breast cancer and low expression of miR-10b-5p was significantly correlated to worse outcome. Five genes, BIRC5, E2F2, KIF2C, FOXM1, and MCM5, were considered as potential key target genes of miR-10b-5p. As expected, higher expression levels of these genes were observed in breast cancer tissues than in normal tissues. Moreover, analysis from CHAT revealed that these genes were mainly involved in sustaining proliferative signaling in cancer development. In addition, PPI networks analysis revealed strong interactions between target genes. GO, KEGG, and Reactome pathway analysis suggested that these target genes of miR-10b-5p in breast cancer were significantly involved in cell cycle. Predicted target genes were further validated by qRT-PCR analysis in human breast cancer cell line MDA-MB-231 transfected with miR-10b mimic or antisense inhibitors. Taken together, our data suggest that miR-10b-5p functions to impede breast carcinoma progression via regulation of its key target genes and hopefully serves as a potential diagnostic and prognostic marker for breast cancer.
乳腺癌是全球女性癌症相关死亡的主要原因。已有报道称miR-10b-5p在乳腺癌中表达异常,但其在肿瘤发生中的分子机制仍不清楚。因此,本研究旨在通过生物信息学分析探讨miR-10b-5p在乳腺癌中的作用及其靶基因网络。在本研究中,从公共数据库分析了miR-10b-5p在乳腺癌中的表达谱和预后价值。采用非参数检验分析miR-10b-5p与临床病理参数之间的相关性。此外,利用starBase和HPA数据库获得了miR-10b-5p的最佳靶基因,并检测了它们的表达模式。此外,通过癌症特征分析工具(CHAT)探索了这些靶基因在癌症发展中的作用。构建蛋白质-蛋白质相互作用(PPI)网络以进一步研究这些基因之间的相互关系。此外,还进行了基因本体(GO)、京都基因与基因组百科全书(KEGG)通路和Reactome通路分析,以解读这些靶基因的功能。结果表明,miR-10b-5p在乳腺癌中表达下调,miR-10b-5p低表达与较差的预后显著相关。BIRC5、E2F2、KIF2C、FOXM1和MCM5这五个基因被认为是miR-10b-5p的潜在关键靶基因。正如预期的那样,在乳腺癌组织中观察到这些基因的表达水平高于正常组织。此外,CHAT分析显示这些基因主要参与癌症发展中维持增殖信号。此外,PPI网络分析显示靶基因之间有强烈的相互作用。GO、KEGG和Reactome通路分析表明,miR-10b-5p在乳腺癌中的这些靶基因显著参与细胞周期。通过对转染了miR-10b模拟物或反义抑制剂的人乳腺癌细胞系MDA-MB-231进行qRT-PCR分析,进一步验证了预测的靶基因。综上所述,我们的数据表明,miR-10b-5p通过调节其关键靶基因发挥抑制乳腺癌进展的作用,有望作为乳腺癌潜在的诊断和预后标志物。