Global Gene Expression and Functional Network Analysis of Gastric Cancer Identify Extended Pathway M

• 作 者: LeiCheng[1]ShengYang[2]YanqingYang[3]WenZhang[4]HuashengXiao[4]HengjunGao[5]XiaxingDeng[6]QinghuaZhang[7]
• 机 构: State Key Laboratory of Medical Genomics and Shanghai Institute of Hematology,Ruijin Hospital, Shang
• 出 处: 2012年全国肿瘤分子标志学术大会与国际肿瘤转化医学论坛暨第七届中国中青年肿瘤专家论坛
• 发表日期: 2012年期

　　Objectives: To get more understanding of the molecular mechanisms underlying gastric cancer, twenty-five paired samples were applied to gene expression microarray analysis.Methods: We applied laser capture microdissection (LCM) to obtain samples for microarray experiments and profiled gene expression using Human Exon 1.0 ST Microarray.Results: Here, expression microarray, quantitative reverse transcription-PCR (qRT-PCR) and immunohistochemical analysis indicated that GPRC5A was significantly elevated in gastric cancer tissues.The integrative network analysis of deregulated genes generated 8 subnetworks.We also mapped copy number variations (CNVs) and associated mRNA expression changes into pathways and identified WNT, RTK-Ras-PI3K-AKT, NF-κB, and PLAU-JAK-STAT pathways involved in proliferation, evading apoptosis and sustained angiogenesis, respectively.Conclusions: Taken together, our results reveal several interesting genes including GPRC5A as potential biomarkers for gastric cancer, and highlight more systematical insight of deregulated genes in genetic pathways of gastric carcinogenesis.