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参与胃癌相关通路的差异表达基因的特征分析。

Characterization of differentially expressed genes involved in pathways associated with gastric cancer.

作者信息

Li Hao, Yu Beiqin, Li Jianfang, Su Liping, Yan Min, Zhang Jun, Li Chen, Zhu Zhenggang, Liu Bingya

机构信息

Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, People's Republic of China; Department of Oncology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, People's Republic of China.

Shanghai Key Laboratory of Gastric Neoplasms, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, People's Republic of China.

出版信息

PLoS One. 2015 Apr 30;10(4):e0125013. doi: 10.1371/journal.pone.0125013. eCollection 2015.

Abstract

To explore the patterns of gene expression in gastric cancer, a total of 26 paired gastric cancer and noncancerous tissues from patients were enrolled for gene expression microarray analyses. Limma methods were applied to analyze the data, and genes were considered to be significantly differentially expressed if the False Discovery Rate (FDR) value was < 0.01, P-value was <0.01 and the fold change (FC) was >2. Subsequently, Gene Ontology (GO) categories were used to analyze the main functions of the differentially expressed genes. According to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we found pathways significantly associated with the differential genes. Gene-Act network and co-expression network were built respectively based on the relationships among the genes, proteins and compounds in the database. 2371 mRNAs and 350 lncRNAs considered as significantly differentially expressed genes were selected for the further analysis. The GO categories, pathway analyses and the Gene-Act network showed a consistent result that up-regulated genes were responsible for tumorigenesis, migration, angiogenesis and microenvironment formation, while down-regulated genes were involved in metabolism. These results of this study provide some novel findings on coding RNAs, lncRNAs, pathways and the co-expression network in gastric cancer which will be useful to guide further investigation and target therapy for this disease.

摘要

为探究胃癌中的基因表达模式,共纳入了26例患者的配对胃癌组织和癌旁组织进行基因表达微阵列分析。应用Limma方法分析数据,当错误发现率(FDR)值<0.01、P值<0.01且倍数变化(FC)>2时,基因被认为有显著差异表达。随后,使用基因本体论(GO)类别分析差异表达基因的主要功能。根据京都基因与基因组百科全书(KEGG)数据库,我们发现了与差异基因显著相关的通路。基于数据库中基因、蛋白质和化合物之间的关系分别构建了基因-活性网络和共表达网络。选择2371个mRNA和350个lncRNA作为显著差异表达基因进行进一步分析。GO类别、通路分析和基因-活性网络显示出一致的结果,即上调基因与肿瘤发生、迁移、血管生成和微环境形成有关,而下调基因则参与代谢。本研究的这些结果为胃癌中的编码RNA、lncRNA、通路和共表达网络提供了一些新的发现,这将有助于指导对该疾病的进一步研究和靶向治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bccf/4415781/a085571419fa/pone.0125013.g001.jpg

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