Lv Hongyan, Wu Xianda, Ma Guiru, Sun Lixia, Meng Jianbo, Song Xiaoning, Zhang Jinqiao
Department of Hematology, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei 050051, P.R. China.
Exp Ther Med. 2017 Nov;14(5):4711-4720. doi: 10.3892/etm.2017.5173. Epub 2017 Sep 21.
MicroRNA (miR)-19a, as an oncomiR, has been studied in several types of cancer; however, its role in the development and progression of multiple myeloma (MM) remains unclear. The present study used a bioinformatics approach to investigate the involvement of miR-19a in MM. miR-19a targets were predicted using target prediction programs, followed by screening for differentially expressed genes in MM. The function of these genes was then annotated using gene ontology term enrichment, signaling pathway enrichment and protein-protein interaction (PPI) analysis. In addition, natural language processing (NLP) was performed to identify genes associated with MM. A total of 715 putative targets of miR-19a were identified in the present study, of which 40 were experimentally validated. A total of 121 genes were identified to be differentially expressed in MM, including 80 upregulated genes and 41 downregulated genes. Among the differentially expressed genes, ras homolog family member B, clathrin heavy chain, prosaposin and protein phosphatase 6 regulatory subunit 2 were predicted target genes of miR-19a. The results of NLP revealed that 2 of the differentially expressed genes, Y-box binding protein 1 and TP53 regulated inhibitor of apoptosis 1, were reported to be associated with MM. In addition, 41 target genes of miR-19a were identified to be associated with the development and progression of MM. These results may aid in understanding the molecular mechanisms of miR-19a in the development and progression of MM. In addition, the results of the present study indicate that targets genes of miR-19a are potential candidate biomarkers for MM.
微小RNA（miR）-19a作为一种癌基因，已在多种癌症类型中得到研究；然而，其在多发性骨髓瘤（MM）发生发展中的作用仍不清楚。本研究采用生物信息学方法探讨miR-19a在MM中的作用。使用靶标预测程序预测miR-19a的靶标，随后筛选MM中差异表达的基因。然后使用基因本体术语富集、信号通路富集和蛋白质-蛋白质相互作用（PPI）分析对这些基因的功能进行注释。此外，还进行了自然语言处理（NLP）以鉴定与MM相关的基因。本研究共鉴定出715个miR-19a的假定靶标，其中40个经实验验证。共鉴定出121个基因在MM中差异表达，包括80个上调基因和41个下调基因。在差异表达的基因中，ras同源家族成员B、网格蛋白重链、prosaposin和蛋白磷酸酶6调节亚基2是miR-19a的预测靶标基因。NLP结果显示，差异表达的基因中有2个，即Y盒结合蛋白1和TP53调节的凋亡抑制因子1，据报道与MM相关。此外，还鉴定出41个miR-19a的靶标基因与MM的发生发展相关。这些结果可能有助于理解miR-19a在MM发生发展中的分子机制。此外，本研究结果表明，miR-19a的靶标基因是MM潜在的候选生物标志物。
