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Original Article
cDNA Microarray Analysis of Differential Gene Expression in Gastric Cancer Cells Sensitive and Resistant to 5-Fluorouracil and Cisplatin
Myung-Ju Ahn, Young-Do Yoo, Ki-Hwan Lee, Joon-Ik Ahn, Dong-Hyun Yu, Hye-Sook Lee, Ho-Suck Oh, Jung-Hye Choi, Yong-Sung Lee
Cancer Res Treat. 2005;37(1):54-62.   Published online February 28, 2005
DOI: https://doi.org/10.4143/crt.2005.37.1.54
AbstractAbstract PDFPubReaderePub
Purpose

Gastric cancer is one of the most prevalent cancers worldwide. 5-fluorouracil (5-FU) and cisplatin are the most commonly used drugs for the treatment of gastric cancer. However, a significant number of tumors often fail to respond to chemotherapy.

Materials and Methods

To better understand the molecular mechanisms underlying drug resistance in gastric cancer the gene expression in gastric cancer cells, which were either sensitive or resistant to 5-FU and cisplatin, were examined using cDNA microarray analysis. To confirm the differential gene expression, as determined using the microarray, semiquantitative RT-PCR was performed on a subset of differentially expressed cDNAs.

Results

69 and 45 genes, which were either up-regulated (9 and 22 genes) or down-regulated (60 and 25 genes), were identified in 5-FU- and cisplatin-resistant cells, respectively. Several genes, such as adaptor-related protein complex 1 and baculoviral IAP repeat-containing 3, were up-regulated in both drug-resistant cell types. Several genes, such as the ras homolog gene family, tropomyosin, tumor rejection antigen, protein disulfide isomerase-related protein, melanocortin 1 receptor, defensin, cyclophilin B, dual specificity phosphatase 8 and hepatocyte nuclear factor 3, were down-regulated in both drugresistant cell types.

Conclusion

These findings show that cDNA microarray analysis can be used to obtain gene expression profiles that reflect the effect of anticancer drugs on gastric cancer cells. Such data may lead to the assigning of signature expression profiles of drug-resistant tumors, which may help predict responses to drugs and assist in the design of tailored therapeutic regimens to overcome drug resistance.

Citations

Citations to this article as recorded by  
  • Molecular classification and prediction in gastric cancer
    Xiandong Lin, Yongzhong Zhao, Won-min Song, Bin Zhang
    Computational and Structural Biotechnology Journal.2015; 13: 448.     CrossRef
  • 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
    Genomics, Proteomics & Bioinformatics.2014; 12(6): 276.     CrossRef
  • Protein disulfide isomerase in redox cell signaling and homeostasis
    Francisco R.M. Laurindo, Luciana A. Pescatore, Denise de Castro Fernandes
    Free Radical Biology and Medicine.2012; 52(9): 1954.     CrossRef
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