Identification of differentially-expressed genes in intestinal gastric cancer by microarray analysis

Shizhu Zang, Ruifang Guo, Rui Xing, Liang Zhang, Wenmei Li, Min Zhao, Jingyuan Fang, Fulian Hu, Bin Kang, Yonghong Ren, Yonglong Zhuang, Siqi Liu, Rong Wang, Xianghong Li, Yingyan Yu, Jing Cheng, Youyong Lu

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Gastric cancer (GC) is one of the most frequent malignant tumors. In order to systematically characterize the cellular and molecular mechanisms of intestinal GC development, in this study, we used 22. K oligonucleotide microarrays and bioinformatics analysis to evaluate the gene expression profiles of GC in 45 tissue samples, including 20 intestinal GC tissue samples, 20 normal appearing tissues (NATs) adjacent to tumors and 5 noncancerous gastric mucosa tissue samples. These profiles allowed us to explore the transcriptional characteristics of GC and determine the change patterns in gene expression that may be of clinical significance. 1519 and 1255 differentially-expressed genes (DEGs) were identified in intestinal GC tissues and NATs, respectively, as determined by Bayesian analysis (. P<. 0.001). These genes were associated with diverse functions such as mucosa secretion, metabolism, proliferation, signaling and development, which occur at different stages of GC development.

Original languageEnglish
Pages (from-to)276-283
Number of pages8
JournalGenomics, Proteomics and Bioinformatics
Volume12
Issue number6
DOIs
StatePublished - 1 Dec 2014

Keywords

  • Gastric cancer development
  • Gene expression profile
  • Microarray

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