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中国癌症防治杂志

中国癌症防治杂志 ›› 2017, Vol. 9 ›› Issue (3): 177-181.doi: 10.3969/j.issn.1674-5671.2017.03.03

• 基础研究 • 上一篇    下一篇

miR-10b-5p作用于胰腺癌潜在靶基因及分子机制的探讨

  

  1. 广西医科大学第一附属医院病理科；广西医科大学研究生院
  • 出版日期:2017-06-25 发布日期:2017-08-02
  • 通讯作者: 罗殿中 13878802796＠163.com
  • 基金资助:

    国家自然科学基金资助项目（81660424）

Identification of potential target genes and molecular mechanisms of miR-10b-5p in pancreatic cancer

  • Online:2017-06-25 Published:2017-08-02

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摘要：

目的 探讨miR-10b-5p在胰腺癌发生发展中潜在的靶基因和分子机制。方法 通过高通量基因表达（gene expression omnibus，GEO）数据库和在线预测数据库对潜在靶基因进行初步探讨，再利用生物信息学计算，对miR-10b-5p与靶基因间的相互作用关系进行分析。结果 本研究共得到 586个miR-10b-5p潜在靶基因。基因富集分析（gene ontology，GO）表明，靶基因主要在蛋白转运途径中富集。京都基因与基因组百科全书通路分析（kyoto encyclopedia of genes and genomes，KEGG）显示miR-10b-5p靶基因主要存在于两个重要途径：癌症相关通路和胰腺癌相关通路。蛋白?鄄蛋白网络互作分析（protein-protein interaction，PPI）重点展示了胰腺癌相关通路上7个突变基因（EGFR、RAC3、SMAD4、PIK3CA、CDK6、Bcl2L1和STAT3）之间的相互作用关系。结论 miR-10b-5p可能通过靶向潜在的基因和途径在胰腺癌的发生发展中发挥作用。

关键词: 胰腺肿瘤, miR-10b-5p, 生物信息学, 靶基因, 分子机制

Abstract:

Objective We aimed to explore target genes and molecular mechanisms potentially affected by miR?鄄10b?鄄5p in the devel?鄄opment of pancreatic cancer. Methods We predicted potential target genes affected by miR?鄄10b?鄄5p using the Gene Expression Omnibus database and other online prediction databases. Results A total of 586 candidate target genes were identified，and Gene Ontology enrichment analysis showed that many target genes are involved in protein transport. Pathway analysis using the Kyoto Encyclopedia of Genes and Genomes suggested that miR?鄄10b?鄄5p is involved in tumor?鄄associated pathways as well as specifically in pancreatic cancer?鄄related pathways. Network analysis using the Protein?鄄Protein Interaction tool suggested interactions among seven mutant genes （EGFR，RAC3，SMAD4，PIK3CA，CDK6，Bcl2L1，STAT3） in pancreatic cancer?鄄related pathways. Conclusions The microRNA miR?鄄10b?鄄5p may target genes and pathways involved in pancreatic cancer，potentially making it important in diagnosis and treatment of the disease.

Key words: Pancreatic neoplasms, miR-10b-5p, Bioinformatics, Target genes, Molecular mechanism