Molecular basis of the differences between normal and tumor tissues of gastric cancer

Sanghwa Yang, Jihye Shin, Kyu Hyun Park, Hei Cheul Jeung, Sun Young Rha, Sung Hoon Noh, Woo Ick Yang, Hyun Cheol Chung

Research output: Contribution to journalArticle

32 Citations (Scopus)

Abstract

To be able to describe the differences between the normal and tumor tissues of gastric cancer at a molecular level would be essential in the study of the disease. We investigated the gene expression pattern in the two types of tissues from gastric cancer by performing expression profiling of 86 tissues on 17K complementary DNA microarrays. To select for the differentially expressed genes, class prediction algorithm was employed. For predictor selection, samples were first divided into a training (n = 58), and a test set (n = 28). A group of 894 genes was selected by a t-test in a training set, which was used for cross-validation in the training set and class (normal or tumor) prediction in the test set. Smaller groups of 894 genes were individually tested for their ability to correctly predict the normal or tumor samples based on gene expression pattern. The expression ratios of the 5 genes chosen from microarray data can be validated by real time RT-PCR over 6 tissue samples, resulting in a high level of correlation, individually or combined. When a representative predictor set of 92 genes was examined, pathways of 'focal adhesion' (with gene components of THBS2, PDGFD, MAPK1, COL1A2, COL6A3), 'ECM-receptor interaction' pathway (THBS2, COL1A2, COL6A3, FN1) and 'TGF-beta signaling' (THBS2, MAPK1, INHBA) represent some of the main differences between normal and tumor of gastric cancer at a molecular level.

Original languageEnglish
Pages (from-to)1033-1040
Number of pages8
JournalBiochimica et Biophysica Acta - Molecular Basis of Disease
Volume1772
Issue number9
DOIs
Publication statusPublished - 2007 Sep

All Science Journal Classification (ASJC) codes

  • Molecular Medicine
  • Molecular Biology

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