논문검색
Author 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
Place of duty Departments of 1Internal Medicine and 3Biochemistry, Hanyang University College of Medicine, 2Korea University Cancer Institute, College of Medicine, Korea University, Seoul, Korea.
Title cDNA Microarray Analysis of Differential Gene Expression in Gastric Cancer Cells Sensitive and Resistant to 5-Fluorouracil and Cisplatin
Publicationinfo Cancer Res Treat. 2005 Feb; 037(01): 54-62.
Key_word cDNA microarray,Stomach neoplasms,5-fluorouracil,Cisplatin,Drug resistance
Full-Text
Abstract 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 drug- resistant 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. (Cancer Research and Treatment 2005;37:54-62)