Literature DB >> 16750015

[Gene expression profiling of diffuse-type gastric cancer by cDNA microarray].

Xiao-qing Zhang1, Yan-qing Yang, Bing-ya Liu, Xiao-long Jin, Wei Li, Kai-ling Tang, Qing-hua Zhang, Yan-zhen Lin, Zheng-gang Zhu.   

Abstract

OBJECTIVE: To identify cancer-related genes in diffuse-type gastric cancer and to explore its molecular mechanism by cDNA microarray analysis.
METHODS: A total of 22 pairs of diffuse-type gastric cancer tissue and the corresponding normal mucosa were taken and freshly frozen. cDNA microarray with 14,592 genes/ESTs was used. Genes were considered to be up- or down-regulated when the fluorescent intensity ratio between tumor and normal mucosa was over 2-fold in over 50% of the samples (P < 0.05). Hierarchical clustering of regulated genes was performed as a measure to study expressional similarity. Validation of array results was carried out by real time quantitative PCR (QPCR).
RESULTS: Compared with those of corresponding normal mucosa, there were a total of 153 genes/ESTs up-regulated and 204 down-regulated in diffuse-type gastric cancer. Hierarchical clustering demonstrated that the genes belonging to the same subgroup displayed similar function. Most of the overexpressed genes were those related to cell adhesion, cell motility, matrix reconstruction, cell proliferation and/or signal transduction; while genes related to defense response, toxicoid metabolism, DNA repairing, nuclear-cytoplasmic transport and/or anti-apoptosis made up the main list of the underexpressed genes. Seven genes showed higher expression in TNM (T I + T II) group than in (T III + T IV) group. QPCR confirmed the array analysis results.
CONCLUSION: Gene expression profiling by cDNA microarray analysis provides not only molecular understanding of biological properties of cancer, but may also be helpful in discovering new diagnostic markers and therapeutic targets in gastric adenocarcinoma.

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Year:  2006        PMID: 16750015

Source DB:  PubMed          Journal:  Zhonghua Zhong Liu Za Zhi        ISSN: 0253-3766


  2 in total

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