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cDNA Microarray Analysis of Differential Gene Expression in Gastric Cancer Cells Sensitive and Resistant to 5-Fluorouracil and Cisplatin
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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
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Cancer Res Treat. 2005;37(1):54-62. Published online February 28, 2005
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DOI: https://doi.org/10.4143/crt.2005.37.1.54
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 Abstract
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- 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 MethodsTo 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. Results69 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. ConclusionThese 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.
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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
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Francisco R.M. Laurindo, Luciana A. Pescatore, Denise de Castro Fernandes
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The Differential Gene Expression Profiles between Sensitive and Resistant Breast Cancer Cells to Adriamycin by cDNA Microarray
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Myung-Ju Ahn, Ki-Hwan Lee, Joon-Ik Ahn, Dong-Hyun Yu, Hye-Sook Lee, Jung-Hye Choi, Joung Soon Jang, Jong Min Bae, Yong-Sung Lee
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Cancer Res Treat. 2004;36(1):43-49. Published online February 29, 2004
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DOI: https://doi.org/10.4143/crt.2004.36.1.43
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Abstract
PDFPubReaderePub
- Purpose
Adriamycin® is one of the most commonly used drugs in the treatment of breast cancer. This study was performed to understand the molecular mechanisms of drug resistance in breast cancer cells. Materials and MethodsWe have analyzed the MCF-7 breast cell line and its adriamycin-resistant variants, MCF-7/ADR using human 10 K element cDNA microarrays. ResultsWe defined 68 genes that were up-regulated (14 genes) or down-regulated (54 genes) in adriamycin resistant breast cancer cells. Several genes, such as G protein-coupled receptor kinase 5, phospholipase A2, guanylate cyclase 1, vimentin, matrix metalloproteinase 1 are up-regulated in drug resistant cells. Several genes, such as interferon, alpha-inducible protein 27, forkhead box M1, mitogen-activated protein kinase 6, regulator of mitotic spindle assembly 1 and tumor necrosis factor superfamily are down-regulated in adriamycin resistant cells. The altered expression of genes observed in microarray was verified by RT-PCR. ConclusionThese findings show that cDNA microarray analysis can be used to obtain gene expression profiles reflecting the effect of anticancer drugs on breast 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.
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Ling Yao, Yan Zhang, Keying Chen, Xiaofang Hu, Lisa X. Xu, Irina V. Lebedeva
PLoS ONE.2011; 6(9): e24684. CrossRef - 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 Research and Treatment.2005; 37(1): 54. CrossRef
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