Abstracts
Copyright ©The Author(s) 2000. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Sep 15, 2000; 6(Suppl3): 146-146
Published online Sep 15, 2000. doi: 10.3748/wjg.v6.iSuppl3.146
Gene expression profiles in liver cancer and normal liver tissues
Lian-Xin Liu, Hong-Chi Jiang, An-Long Zhu, Jin Zhou, Xiu-Qin Wang, Min Wu
Lian-Xin Liu, Hong-Chi Jiang, An-Long Zhu, Jin Zhou, Xiu-Qin Wang, Min Wu, National Laboratory of Molecular Oncology, Cancer Institute, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
Author contributions: All authors contributed equally to the work.
Correspondence to: Dr. Lian-Xin Liu, National Laboratory of Molecular Oncology, Cancer Institute, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China
Received: June 24, 2000
Revised: July 1, 2000
Accepted: July 10, 2000
Published online: September 15, 2000
Abstract

AIM: To describe a liver cancer = specific gene expression profile and to identify genes that showed altered expression between liver cancer tissues and their adjacent nearly normal tissues.

METHODS: The cDNA probes which were labeled with α-32P dATP were synthesized from total RNA of liver cancer and adjacent normal tissues and hybridized separately to two identical Atlas human cancer cDNA expression array membranes containing 588 known genes.

RESULTS: Autoradiographic results were analyzed by specific Atlas Image TM (version 1.0) software. Among the 588 genes analyzed, 18 genes were found up-regulated in cancer, including TFDP2, Akt1, E2F-3 etc, and 25 genes were down-regulated in cancer, including TDGF1, BAK, LAR, etc. Expression levels of genes that associated with the regulation of cell proliferation, apoptosis, differentiation, cell-cell interaction, invasion regulators and cytokines altered mostly.

CONCLUSION: The result obtained from Atlas microarray provides a comprehensive liver cancer specific expression profile. The results can lead to the identification of liver cancer-specific biomarkers and may be helpful in early diagnosis and dentifiction of target genes for designing rational therapeutic strategies.

Keywords: Liver neoplasms/diagnosis; Gene expression; Differential hybridization; Microarray