摘要
目的研究胃萎缩性炎恶变至胃癌过程中基因表达谱的变化。方法收集5例重度萎缩胃炎伴肠上皮化生组织和5例进展期胃癌组织进行基因芯片检测,筛选差异性表达的基因。通过生物信息学分析的方法对差异性表达的基因富集的生物过程、信号通路、基因编码蛋白之间相互关系进行分析。结果通过基因芯片检测,筛选出2 779个差异性表达的基因,并对变化最明显的前15个上调及前15个下调的基因进行总结,其中包括CPA2、HCAR3、BCL2A1、ITGAX等新发现的胃癌相关基因。此外,生物信息学分析显示了差异性表达基因所代表的生理意义,如炎症反应、细胞迁移、TNF信号通路、NF-kappa B信号通路、Toll样受体信号通路、趋化因子信号通路等。结论萎缩性胃炎恶变至胃癌过程中基因表达谱发生明显变化,并代表了相应的生理意义。
Objective To analyze changes of gene expression profile during the malignant transformation of atrophic gastritis.Methods 5 atrophic gastritis tissues with intestinal metaplasia and 5 human advanced gastric cancer tissues were collected for examining the gene expression changes by human genome microarray.Bioinformatics analysis was used to identify the enriched pathways and biological processes by the deregulated genes,meanwhile,the interaction of the gene encoding proteins were also analyzed.Results Gene expression profile analysis showed that 2 779 deregulated genes during the malignant transformation of atrophic gastritis,the top 15 up-regulated and the top 15 down-regulated genes were selected for a brief summary,including some novel gastric cancer related genes,such as CPA2,HCAR3,BCL2A1,ITGAX.Moreover,bioinformatics analysis showed the physiological significance of deregulated genes,such as inflammation,cell migration,TNF signaling pathway,NF-kappa B signaling pathway,Toll-like receptor signaling pathway,chemokine signaling pathway.Conclusion During the process of atrophic gastritis malignant transformation to gastric cancer,the gene expression profile changes obviously and represents the corresponding physiological significance.
作者
丁西平
毛玉娣
汪朝靓
周欢
程前
Ding Xiping;Mao Yudi;Wang Chaoliang(Dept of Geriatrics,The First Affiliated Hospital of USTC (Anhui Provincial Hospital),Hefei 230001)
出处
《安徽医科大学学报》
CAS
北大核心
2019年第3期402-407,共6页
Acta Universitatis Medicinalis Anhui
基金
安徽省自然科学基金(编号:1808085MH304)
安徽省公益性技术应用研究联动计划项目(编号:1604f0804018)
关键词
炎症恶化
胃癌
萎缩性胃炎
基因表达谱
GO分析
KEGG信号通路
PPI网络分析
inflammation malignant
gastric carcinoma
atrophic gastritis
gene expression profile
GO analysis
KEGG pathway
PPI network analysis