Liver Cancer
Copyright ©2005 Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Mar 14, 2005; 11(10): 1463-1472
Published online Mar 14, 2005. doi: 10.3748/wjg.v11.i10.1463
Identify lymphatic metastasis-associated genes in mouse hepatocarcinoma cell lines using gene chip
Bo Song, Jian-Wu Tang, Bo Wang, Xiao-Nan Cui, Li Hou, Lu Sun, Li-Min Mao, Chun-Hui Zhou, Yue Du, Li-Hui Wang, Hua-Xin Wang, Ren-Shu Zheng, Lei Sun
Bo Song, Jian-Wu Tang, Bo Wang, Xiao-Nan Cui, Li Hou, Li-Min Mao, Chun-Hui Zhou, Yue Du, Li-Hui Wang, Hua-Xin Wang, Ren-Shu Zheng, Lei Sun, Department of Pathology, Dalian Medical University, Dalian 116027, Liaoning Province, China Lu Sun, Shanghai Jingtai Biotechnology Corporation Ltd, Shanghai 200000, China
Author contributions: All authors contributed equally to the work.
Supported by the National Natural Science Foundation of China, No. 30371583
Correspondence to: Dr. Jian-Wu Tang, Department of Pathology, Dalian Medical University, Dalian116027, Liaoning Province, China. yr0806@yahoo.com.cn
Telephone: +86-411-84720610 Fax: +86-411-84720610
Received: October 9, 2004
Revised: October 11, 2004
Accepted: November 19, 2004
Published online: March 14, 2005
Abstract

AIM: In order to obtain lymphogenous metastasis-associated genes, we compared the transcriptional profiles of mouse hepatocarcinoma cell lines Hca-F with highly lymphatic metastasis potential and Hca-P with low lymphatic metastasis potential.

METHODS: Total RNA was isolated from Hca-F and Hca-P cells and synthesized into double-stranded cDNA. In vitro transcription double-stranded cDNA was labeled with biotin (i.e., biotin-labeled cRNA, used as the probe). The cRNA probes hybridized with Affymetrix GeneChip® MOE430A (containing 22690 transcripts, including 14500 known mouse genes and 4371 ESTs) respectively and the signals were scanned by the GeneArray Scanner. The results were then analyzed by bioinformatics.

RESULTS: Out of the 14500 known genes investigated, 110 (0.8%) were up regulated at least 23 fold. Among the total 4371 ESTs, 17 ESTs (0.4%) (data were not presented) were up regulated at least 23 fold. According to the Gene Ontology and TreeView analysis, the 110 genes were further classified into two groups: differential biological process profile and molecular function profile.

CONCLUSION: Using high-throughput gene chip method, a large number of genes and their cellular functions about angiogenesis, cell adhesion, signal transduction, cell motility, transport, microtubule-based process, cytoskeleton organization and biogenesis, cell cycle, transcription, chaperone activity, motor activity, protein kinase activity, receptor binding and protein binding might be involved in the process of lymphatic metastasis and deserve to be used as potential candidates for further investigation. Cyclin D1, Fosl1, Hsp47, EGFR and AR, and Cav-1 are selected as the possible candidate genes of the metastatic phenotype, which need to be validated in later experiments. ESTs (data were not presented) might indicate novel genes associated with lymphatic metastasis. Validating the function of these genes is helpful to identify the key or candidate gene/pathway responsible for lymphatic metastasis, which might be used as the diagnostic markers and the therapeutic targets for lymphatic metastasis.

Keywords: Hepatocarcinoma, Lymphatic metastasis, Cell lines Hca-F and Hca-P, Gene chip