miR-129-5p调控的COL1A1作为胃癌潜在治疗靶点的生物信息学分析 |
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引用本文: | 杨万霞,潘云燕,管沛文,李雪,尤崇革.miR-129-5p调控的COL1A1作为胃癌潜在治疗靶点的生物信息学分析[J].南方医科大学学报,2019,39(5):540. |
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作者姓名: | 杨万霞 潘云燕 管沛文 李雪 尤崇革 |
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作者单位: | 兰州大学第二医院检验医学中心,甘肃 兰州,730030;兰州大学第二医院检验医学中心,甘肃 兰州,730030;兰州大学第二医院检验医学中心,甘肃 兰州,730030;兰州大学第二医院检验医学中心,甘肃 兰州,730030;兰州大学第二医院检验医学中心,甘肃 兰州,730030 |
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基金项目: | 甘肃省重点研发计划项目;兰大二院萃英计划面上项目;兰大二院萃英计划临床拔尖技术项目 |
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摘 要: | 目的应用生物信息学技术探索胃癌发病机制,为胃癌的防治提供生物信息学依据。方法用GEO2R在线工具分析
GSE79973中胃癌组织和正常胃黏膜组织的差异表达基因(Differentially expressed genes, DEGs),通过DAVID数据库对DEGs
进行GO分析和KEGG通路富集分析,然后通过STRING数据库构建蛋白质相互作用网络,用Cytoscape 软件进行关键基因
(Hub 基因)筛选和功能模块分析,并在GEPIA 数据库对Hub 基因进行验证,用Target Scan 数据库预测调控靶基因的
microRNAs,并用OncomiR分析microRNAs在胃癌组织中的表达及其与生存预后的关系。结果共筛选出181个在胃癌中差异
表达的基因。蛋白质互作网络筛选出10个Hub基因。DEGs功能分析主要涉及蛋白质消化吸收、PI3K-Akt信号通路、ECM-受
体相互作用、血小板激活信号通路。GEPIA数据库验证显示COL1A1 在胃癌组织中高表达,并和胃癌患者的不良预后有关。
miR-129-5p与COL1A1 mRNA的3’UTR结合。与正常组织相比,miR-129-5p在胃癌组织中表达明显下调,且与胃癌患者预后
具有一定相关性。结论miR-129-5p调控的COL1A1是胃癌潜在的治疗靶点。
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关 键 词: | 胃癌 差异表达基因 COL1A1 miR-129-5p 生物信息学分析 |
Bioinformatics analysis of COL1A1 regulated by miR-129-5p as a potential therapeutic
target for gastric cancer |
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Abstract: | Objective To explore the pathogenesis of gastric cancer through a bioinformatic approach to provide evidence for
the prevention and treatment of gastric cancer. Methods The differentially expressed genes (DEGs) in gastric cancer and
normal gastric mucosa in GSE79973 dataset were analyzed using GEO2R online tool. GO analysis and KEGG pathway
enrichment analysis of the DEGs in DAVID database were performed. The protein interaction network was constructed using
STRING database, and the key genes (Hub genes) were screened and their functional modules were analyzed using Cytoscape
software. The GEPIA database was used to validate the Hub genes, and the Target Scan database was used to predict the
microRNAs that regulate the target genes; OncomiR was used to analyze the expressions of the microRNAs in gastric cancer
tissues and their relationship with the survival outcomes of the patients. Results A total of 181 DEGs were identified in gastric
cancer, and 10 hub genes were screened by the protein- protein interaction network. Functional analysis showed that these
DEGs were involved mainly in protein digestion and absorption, PI3K-Akt signaling pathway, ECM-receptor interaction and
platelet activation signal pathway. GEPIA database validation showed that COL1A1 was highly expressed in gastric cancer
tissues and was associated with a poor prognosis of patients with gastric cancer. MiR-129-5p was found to bind to the 3’UTR of
COL1A1 mRNA, and compared with that in normal tissues, miR-129-5p expression was obviously down-regulated in gastric
cancer tissues, and was correlated with the prognosis of the patients. Conclusion COL1A1 under regulation by MiR-129-5p is a
potential therapeutic target for gastric cancer. |
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