Mao Yudi, Zhao Qihong, Yin Shi, Ding Xiping, Wang Hua
Department of Gastroenterology, Affiliated Provincial Hospital of Anhui Medical University, Hefei, China.
Department of Geriatrics, Affiliated Provincial Hospital of Anhui Medical University, Hefei, China.
Asia Pac J Clin Oncol. 2018 Apr;14(2):e29-e36. doi: 10.1111/ajco.12688. Epub 2017 Apr 4.
The aim of this study was to analyze the gene expression profile and biological processes enriched in gastric cancer.
We collected five human advanced gastric cancer tissues by gastroscopy and five peritumor normal tissues as controls and examined the gene expression changes by microarray. KEGG Orthology Based Annotation System annotation was used to identify pathways and biological processes regulated by the deregulated genes. Protein-protein interaction network analysis identified protein complex and functional modules. We also selected 14 genes for further verification by real-time quantitative Polymerase Chain Reaction (PCR).
Human gene expression profile analysis showed that 2028 deregulated genes were detected in gastric cancer compared with the control group (at least a 2.0-fold change and P < 0.05), among which there were 689 upregulated and 1339 downregulated genes. Interestingly, we identified some important genes, such as CXCL17, OTX1 and CCDC125, which have not previously been reported in gastric cancer. Real-time quantitative PCR results verified that CXCL8, OTX1, CEBPB, FOSL1, FOXS1, ARFRP1 and IRF9 were upregulated in gastric cancer and CCDC125, PPP1R36, SOX2, JUN and MIA2 were downregulated. Moreover, bioinformatics analysis demonstrated that the biological processes of inflammatory response, angiogenesis, cell migration and pathways of chemokine signaling pathway, TNF signaling pathway were enriched. We also selected the top 30 significant Gene Ontology terms and select pathways for a brief summary.
We performed a global analysis of the mRNA landscape in gastric cancer. Our results may stimulate a deeper understanding of the disease, and lead to the development of potential therapies and the identification of novel biomarkers.
本研究旨在分析胃癌中富集的基因表达谱及生物学过程。
我们通过胃镜收集了5例人类晚期胃癌组织,并选取5例癌旁正常组织作为对照,采用基因芯片检测基因表达变化。使用基于KEGG直系同源注释系统的注释来识别由失调基因调控的通路和生物学过程。蛋白质-蛋白质相互作用网络分析确定蛋白质复合物和功能模块。我们还选择了14个基因通过实时定量聚合酶链反应(PCR)进行进一步验证。
人类基因表达谱分析显示,与对照组相比,胃癌中检测到2028个失调基因(至少2.0倍变化且P<0.05),其中上调基因689个,下调基因1339个。有趣的是,我们鉴定出了一些重要基因,如CXCL17、OTX1和CCDC125,这些基因此前在胃癌中尚未见报道。实时定量PCR结果证实,CXCL8、OTX1、CEBPB、FOSL1、FOXS1、ARFRP1和IRF9在胃癌中上调,而CCDC125、PPP1R36、SOX2、JUN和MIA2下调。此外,生物信息学分析表明,炎症反应、血管生成、细胞迁移等生物学过程以及趋化因子信号通路、TNF信号通路等通路得到富集。我们还选取了前30个显著的基因本体术语并选择通路进行简要总结。
我们对胃癌中的mRNA景观进行了全面分析。我们的结果可能会促进对该疾病的更深入理解,并导致潜在治疗方法的开发和新型生物标志物的鉴定。