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Korean Journal of Obstetrics & Gynecology 2003;46(4):810-819.
Published online April 1, 2003.
cDNA Microarray Expression Analysis in HPV-Infected Uterine Cervical Cancer Cell Line.
Kuol Hur, Zhenhua Lin, Xianglan Zhang, Chan Woo Park, Hye Ok Kim, Jun Hyung Cho, In Soo Kang, Young Sik Kim, In Sun Kim
1Department of Obstetrics and Gynecology, Samsung Cheil Hospital and Women's Health Care Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
2Department of Pathology, College of Medicine, Korea University, Seoul, Korea.
Abstract
OBJECTIVE
To estimate the difference in gene expression related to carcinogenesis between HPV 16 positive squamous cell carcinoma and HPV 16 positive adenocarcinoma of cervix. METHODS: We used cDNA microarray technology to identify alterations in gene expression of human cervical cancers. Gene expression of three cell lines, CaSki and SiHa (HPV 16 positive squamous cell carcinoma) and HeLa (HPV 16 positive adenocarcinoma) were compared with HT3 (HPV 16 negative squamous cell carcinoma). The microarray contains twin spots for 344 cancer-associated genes. RESULTS: The analysis showed several interesting findings: (1) In all three squamous cell lines, CD4, CSF1, MMP15 and TNFR6 were increased, whereas SLC3A2 were decreased, (2) Only in adenocarcinoma cell line HeLa, CDC25A, CDK2, CDK9, IL2, PF4, MAD, FCER2, MAP4K1 and MS4A1 were increased, and PLAU, IL8, IL9R and ATK were decreased. (3) In both squamous cell carcinoma cell lines CaSki and SiHa, 61 genes which belong to chemokine, cell cycle, growth factor, interleukin, adhesion molecule, protein kinase and TNF were increased, whereas 10 genes which are associated with apoptosis and cytokine were increased only in SiHa, and 97 genes which are associated with a variety of cell functions were increased only in CaSki. CONCLUSION: We suggest that there might be common, but also different carcinogenic mechanisms involved in HPV 16 related cervical cancers according to the histologic subtypes and different tumors.
Key Words: Cervical cancer cell line, cDNA microarray, Gene expression


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