Gene expression profiles in liver cancer and adjacent normal tissues
Zhou Jin
Abstract
Zhou Jin
Abstract
Objective To describe a liver cancer specific gene expression profile and to identify genes that showed altered expression between liver cancer tissues and their adjacent normal tissues. Methods The cDNA probes labeled with α 32 P dATP were synthesized from total RNA of liver cancer and adjacent normal tissues in 24 cases and hybridized separately to two identified Atlas human cancer cDNA expression arrays membranes containing 588 known genes. Results Autora diographic results were analyzed by specific AtlasImage TM (version1.01a) 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 most. Conclusions The result obtained from Atlas microarray provide a comprehensive liver cancer specific expression profile. The results lead to the identification of liver cancer specific biomarkers potentially and may be useful in clinical practice.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Objective To describe a liver cancer specific gene expression profile and to identify genes that showed altered expression between liver cancer tissues and their adjacent normal tissues. Methods The cDNA probes labeled with α 32 P dATP were synthesized from total RNA of liver cancer and adjacent normal tissues in 24 cases and hybridized separately to two identified Atlas human cancer cDNA expression arrays membranes containing 588 known genes. Results Autora diographic results were analyzed by specific AtlasImage TM (version1.01a) 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 most. Conclusions The result obtained from Atlas microarray provide a comprehensive liver cancer specific expression profile. The results lead to the identification of liver cancer specific biomarkers potentially and may be useful in clinical practice.
Key concepts: Complementary DNA, Gene, Liver cancer, Cancer, Gene expression, Microarray, Cancer cell, Gene expression profiling