南方医科大学学报

南方医科大学学报 ›› 2017, Vol. 37 ›› Issue (02): 238-.

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宣威地区肺腺癌病人肺组织特异miRNAs表达谱和靶基因及其信号通路预测

陈帅，周永春，陈颖，陈小波，李光剑，杨加鹏，雷玉洁，赵光强，黄秋博，杨长绍，杜亚茜，黄云超   

  • 出版日期:2017-02-20 发布日期:2017-02-20

Specific microRNA expression profiles of lung adenocarcinoma in Xuanwei region and bioinformatic analysis for predicting their target genes and related signaling pathways

  • Online:2017-02-20 Published:2017-02-20

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摘要： 目的筛选出宣威地区肺腺癌病人肺组织miRNAs差异表达谱,预测其相关靶基因和信号通路。方法选取来自宣威地区 肺腺癌24例和非宣威地区肺腺癌10例患者手术切除的肺癌组织和正常肺组织标本，miRNAs芯片检测34对肺癌切除标本，筛 选宣威肺腺癌miRNAs差异表达谱，AGO分析和KEGG Pathway 分析预测其miRNAs的生物与肺癌相关的靶基因和信号通 路。结果miRNAs芯片检测：与非宣威肺腺癌比较，宣威肺腺癌差异表达显著的特异miRNAs 34个：表达上调的miRNAs有23 个，表达下调的miRNAs有11个。AGO富集分析及KEGG数据库映射分析发现：预测主要集中在PI3K/Alt信号通路附近，其预 测靶基因有：GF、RTK、SOS、IRS1、BCAP、CYTOKINSR、ECM、ITGB、FAK和GβY ，可能对肺癌生物学功能产生影响的靶基因 主要集中在PI3K/Alt，WNT和MAPK通路。结论筛选出这些特异性miRNAs可能在宣威肺腺癌癌变和进展中起重要作用，预 测的靶基因可能与调节PI3K/Alt，WNT和MAPK信号通路的作用有关。

Abstract: Objective To identify differentially expressed microRNAs (miRNAs) related to lung adenocarcinoma in Xuanwei region and predict their target genes and related signaling pathways based on bioinformatic analysis. Methods High-throughput microarray assay was performed to detect miRNA expression profiles in 34 paired human lung adenocarcinoma and adjacent normal tissues (including 24 cases in Xuanwei region and 10 in other regions). Gene ontology and KEGG pathway analyses were used to predict the target genes and the regulatory signaling pathways. Results Thirty-four miRNAs were differentially expressed in lung adenocarcinoma tissues in cases in Xuanwei region as compared with cases in other regions, including 23 upregulated and 11 downregulated miRNAs. The predicted target genes included GF, RTK, SOS, IRS1, BCAP, CYTOKINSR, ECM, ITGB, FAK and GβY involving the PI3K/Alt, WNT and MAPK pathways. Conclusion The specific microRNA expression profiles of lung adenocarcinoma in cases found in Xuanwei region allow for a better understanding of the pathogenesis of lung adenocarcinoma in Xuanwei. The predicted target genes may involve the PI3K/Alt, WNT and MAPK pathways.