Shi Lin, Zhao Shi-Mei, Luo Yu, Zhang An-Wen, Wei Li-Hua, Xie Zheng-Yi, Li Yuan-Yuan, Ma Wei
Department of Pathology, Medical College, The Guangxi University of Science and Technology, China.
Department of Pathology, Medical College, The Guangxi University of Science and Technology, China.
Pathol Res Pract. 2017 Nov;213(11):1344-1354. doi: 10.1016/j.prp.2017.09.024. Epub 2017 Sep 27.
This research aims to investigate the prospective molecular mechanism of miR-375 in Medullary Thyroid Cancer (MTC).
The expression level of miR-375 in MTC was explored with microarray data from Gene Expression Omnibus (GEO). To gather the putative target genes of miR-375, we selected eligible datasets in GEO, in which antagomir-375 and premir-375 were transfected to provide the miR-375-related genes. Subsequently, we attained the intersection of the results of GEO microarray data and 12 online target genes prediction database as the prospective target genes. Furthermore, we conducted in silico analysis including gene ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways annotations and Protein-Protein Interactions (PPI) analysis to provide an overview of the function of miR-375 in MTC. Finally, data from The Cancer Genome Atlas (TCGA) and The Human Protein Atlas (THPA) were used for a validation.
Up-regulation could be confirmed with the data from GSE40807. GEO dataset GSE67742 provided 10,596 miR-375-related genes, while 12 online prediction databases showed that 3352 target genes appeared no less than four times. Finally, the intersection of the two groups of genes included 1132 prospective targets. In aspect of functional annotation, negative regulation of transcription from RNA polymerase II promoter (P=9.83E-06), golgi membrane (P=9.98E-05) and pathway of protein binding (P=3.63E-07) were highlighted as the most enriched terms with GO analysis. With regards to PPI network, 162 hub genes that interacted with no less than 10 other different genes was visualized, among which PI3K/Akt signaling pathway was the most enriched pathway as assessed by KEGG. Furthermore, two genes (JAK2 and NGFR) in PI3K/Akt signaling pathway showed down-regulated patterns in both mRNA and protein levels.
The higher expression level of miR-375 might play a pivotal role in the tumorigenesis of MTC via targeting multiple key pathways, especially PI3K/Akt pathway. However, the exact molecular mechanism of miR-375 needs to be verified with in-depth investigation in the future.
本研究旨在探讨miR-375在甲状腺髓样癌(MTC)中的潜在分子机制。
利用基因表达综合数据库(GEO)中的微阵列数据,探究MTC中miR-375的表达水平。为收集miR-375的潜在靶基因,我们在GEO中选择了合适的数据集,其中转染了抗miR-375和前体miR-375以提供与miR-375相关的基因。随后,我们将GEO微阵列数据的结果与12个在线靶基因预测数据库的结果进行交集分析,作为潜在靶基因。此外,我们进行了生物信息学分析,包括基因本体(GO)富集分析、京都基因与基因组百科全书(KEGG)通路注释和蛋白质-蛋白质相互作用(PPI)分析,以概述miR-375在MTC中的功能。最后,使用来自癌症基因组图谱(TCGA)和人类蛋白质图谱(THPA)的数据进行验证。
GSE40807的数据证实了miR-375的上调。GEO数据集GSE67742提供了10596个与miR-375相关的基因,而12个在线预测数据库显示3352个靶基因出现不少于4次。最后,两组基因的交集包括1132个潜在靶点。在功能注释方面,RNA聚合酶II启动子转录的负调控(P=9.83E-06)、高尔基体膜(P=9.98E-05)和蛋白质结合途径(P=3.63E-07)在GO分析中被突出显示为最富集的术语。关于PPI网络,可视化了162个与不少于10个其他不同基因相互作用的枢纽基因,其中PI3K/Akt信号通路是KEGG评估中最富集的通路。此外,PI3K/Akt信号通路中的两个基因(JAK2和NGFR)在mRNA和蛋白质水平上均呈现下调模式。
miR-375的高表达水平可能通过靶向多个关键途径,尤其是PI3K/Akt途径,在MTC的肿瘤发生中起关键作用。然而,miR-375的确切分子机制需要在未来进行深入研究加以验证。