摘要
目的通过对胰腺癌转移相关基因芯片数据进行生物信息学分析,为探索胰腺癌转移的分子机制提供理论依据。方法从基因芯片公共数据库(GEO)下载胰腺癌转移相关基因芯片数据,经R语言数据预处理及筛选差异表达基因后,分别通过DAVID在线分析软件、STRING在线数据库、Cytoscape软件和GEPIA在线分析工具进行差异表达基因的功能注释、通路分析、蛋白互作网络分析及预后分析。结果共筛选出109个胰腺癌转移差异表达基因,其中上调49个,下调60个;功能注释和通路分析发现,这些基因主要集中在急性炎症反应、蛋白质活化级联、细胞外基质构建、细胞外基质分解等生物学过程,以及补体和凝血级联、PPAR信号通路、PI3K-Akt信号通路、ECM受体相互作用等通路。蛋白互作网络分析获得2个关键模块和10个关键基因,分别为ORM1、IGFBP1、HPX、F2、APOA1、ALB、PLG、SERPINC1、KNG1和INS。预后分析得到4个基因的表达水平与胰腺癌患者总生存时间显著相关,分别是SCG5、CRYBA2、CPE和CHGB。结论通过生物信息学的方法对胰腺癌转移相关基因芯片数据进行数据挖掘,为深入研究胰腺癌转移的相关分子机制提供了理论依据。
Objective To provide theoretical basis for the molecular mechanism of the development of metastatic pancreatic cancer by screening differentially expressed genes based on bioinformatical analysis.Methods We analyzed metastasis-related pancreatic cancer microarray datasets derived from GEO database.After preprocessing the data,R language package limma was used to screen differentially expressed genes.Then DAVID online tool was used for GO annotation and KEGG pathway enrichment analysis.STRING online database and Cytoscape software were utilized for protein-protein interaction network analysis.GEPIA online tool was used to evaluate prognostic performance.Results We found 109 differentially expressed genes between metastatic pancreatic cancer tissues and primary pancreatic cancer tissues.Of them 49 genes were up-regulated and 60 were down-regulated.Enrichment analysis indicated that most of the genes were enriched in acute inflammatory response,complement and coagulation cascades,PPAR signaling pathway,and PI3K-Akt signaling pathway.Protein-protein interaction network analysis screened 2 key modules and 10 key genes(ORM1,IGFBP1,HPX,F2,APOA1,ALB,PLG,SERPINC1,KNG1 and INS).Prognostic analysis showed that 4 genes(SCG5,CRYBA2,CPE,and CHGB)were significantly associated with the patients..OS.Conclusion The internal biological information in metastatic pancreatic cancer can be revealed by integrative bioinformaticalanalysis,providing theoretical basis for further research on molecular mechanism of metastatic pancreatic cancer.
作者
曹俊宇
肖莹
秦涛
孙联康
段万星
徐勤鸿
马清涌
马振华
CAO Jun-yu;XIAO Ying;QIN Tao;SUN Lian-kang;DUAN Wan-xing;XU Qin-hong;MA Qing-yong;MA Zhen-hua(Department of Hepatobiliary Surgery,The First Affiliated Hospital of Xi'an Jiaotong University,Xi'an 710061,China)
出处
《西安交通大学学报（医学版）》
CAS
CSCD
北大核心
2019年第2期235-242,共8页
Journal of Xi’an Jiaotong University（Medical Sciences）
基金
国家自然科学基金项目(No.81672434
81502528)~~
关键词
胰腺癌
转移
生物信息学
基因芯片
差异表达基因
pancreatic cancer
metastasis
bioinformatics
microarray
differentially expressed gene
