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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。
Objective To screen differentially expressed miRNAs in lung tissue of patients with lung adenocarcinoma in Xuanwei area and predict their related target genes and signal pathways. Methods Lung cancer tissues and normal lung tissues from 24 patients with lung adenocarcinoma in Xuanwei region and 10 patients with lung adenocarcinoma in non-Xuanwei region were selected. MiRNAs microarrays were used to detect 34 lung cancer resected specimens and the differences of miRNAs in Xuanwei lung adenocarcinoma Expression profiling, AGO analysis and KEGG Pathway analysis predict the biological and lung cancer-related target genes and signaling pathways of their miRNAs. Results miRNAs chip detection: compared with non-Xuanwei lung adenocarcinoma, Xuanwei lung adenocarcinoma significantly differentiated expression of 34 specific miRNAs: miRNAs were upregulated in 23, downregulated miRNAs in 11. AGO enrichment analysis and KEGG database mapping analysis showed that the prediction mainly focused on the PI3K / Alt signaling pathway. The predicted target genes were GF, RTK, SOS, IRS1, BCAP, CYTOKINSR, ECM, ITGB, FAK and GβY The target genes that affect the biological function of lung cancer mainly focus on the PI3K / Alt, WNT and MAPK pathways. Conclusion The screening of these specific miRNAs may play an important role in the carcinogenesis and progression of lung adenocarcinoma in Xuanwei. The predicted target genes may be involved in the regulation of PI3K / Alt, WNT and MAPK signaling pathways.