Literature DB >> 12127692

Identification of genes differentially expressed between gastric cancers and normal gastric mucosa with cDNA microarrays.

Seongeun Lee1, Myungin Baek, Hankwang Yang, Yung-Jue Bang, Woo Ho Kim, Ji-Hong Ha, Dae-Kee Kim, Doo-Il Jeoung.   

Abstract

To identify genes whose alterations lead to gastric cancer, gene expression profiles have been obtained from 22 gastric cancer tissues and their surrounding gastric mucosa tissues. A total of 16 genes were differentially expressed in more than 50% of gastric cancer tissues compared with surrounding gastric mucosa tissues. Genes such as HMG-Y, fibroblast collagenase inhibitor, and osteopontin are among those that are overexpressed in over 50% of the gastric cancer tissues. Dihydrodiol dehydrogenase, ribonuclease A, and glutathione peroxidase are among those genes that are underexpressed in over 50% of the gastric cancer tissues. We identified genes that are associated with clinical phenotypes of patients with gastric cancers. Alpha-II spectrin, Na/K-ATPase and KIAA0111 are those that are enhanced in intestinal type of gastric cancer. Gene such as platelet-endothelial tetraspan antigen 3 was enhanced in highly metastatic gastric cancer tissues.

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Year:  2002        PMID: 12127692     DOI: 10.1016/s0304-3835(02)00197-0

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  20 in total

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3.  Integrated analysis identified an intestinal-like and a diffuse-like gene sets that predict gastric cancer outcome.

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4.  An entropy-based gene selection method for cancer classification using microarray data.

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Journal:  BMC Bioinformatics       Date:  2005-03-24       Impact factor: 3.169

5.  Elevated plasma osteopontin associated with gastric cancer development, invasion and survival.

Authors:  Chun-Ying Wu; Ming-Shiang Wu; En-Pei Chiang; Cheng-Chung Wu; Yi-Ju Chen; Chien-Jen Chen; Nai-Hui Chi; Gran-Hum Chen; Jaw-Town Lin
Journal:  Gut       Date:  2006-12-05       Impact factor: 23.059

6.  Gene expression profile differences in gastric cancer, pericancerous epithelium and normal gastric mucosa by gene chip.

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Journal:  World J Gastroenterol       Date:  2005-04-28       Impact factor: 5.742

7.  Molecular dysexpression in gastric cancer revealed by integrated analysis of transcriptome data.

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Review 8.  Molecular markers for gastric adenocarcinoma: an update.

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Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

9.  Clustering of molecular alterations in gastroesophageal carcinomas.

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Journal:  Neoplasia       Date:  2004 Mar-Apr       Impact factor: 5.715

10.  Applications of microarray technology to Acute Myelogenous Leukemia.

Authors:  Rashmi S Goswami; Mahadeo A Sukhai; Mariam Thomas; Patricia P Reis; Suzanne Kamel-Reid
Journal:  Cancer Inform       Date:  2008-12-22
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