PURPOSE: Microarray analysis on a genomic scale was used to profile changes in gene expression accompanying hepatocellular carcinoma. METHODS: Gene expression profiles of liver tissues from twelve hepatocellular carcinoma samples relative to the gene expression profile of the normal liver tissue were analyzed using 4096 chips and 12800 chips. The results of microarray experiments were verified by the Northern blot technique. RESULTS: A group of 1,820 genes with altered expression were identified in more than 50% of the patients examined. This highly concordant expression profile included human genes encoding proteins involved in the function of peroxisomes, serum control, polycyclic aromatic hydrocarbon carcinogenesis, cell growth and differentiation, metastasis, the function of the immune system, apoptosis, and remodeling of the cytoskeleton. CONCLUSIONS: The newly identified genes afford a quantitative view of the changes that accompany liver cancer at the genomic level, enable deeper insights into the molecular basis of disease, and provide an extensive list of potential early-onset molecular markers for improved diagnosis.
PURPOSE: Microarray analysis on a genomic scale was used to profile changes in gene expression accompanying hepatocellular carcinoma. METHODS: Gene expression profiles of liver tissues from twelve hepatocellular carcinoma samples relative to the gene expression profile of the normal liver tissue were analyzed using 4096 chips and 12800 chips. The results of microarray experiments were verified by the Northern blot technique. RESULTS: A group of 1,820 genes with altered expression were identified in more than 50% of the patients examined. This highly concordant expression profile included human genes encoding proteins involved in the function of peroxisomes, serum control, polycyclic aromatic hydrocarbon carcinogenesis, cell growth and differentiation, metastasis, the function of the immune system, apoptosis, and remodeling of the cytoskeleton. CONCLUSIONS: The newly identified genes afford a quantitative view of the changes that accompany liver cancer at the genomic level, enable deeper insights into the molecular basis of disease, and provide an extensive list of potential early-onset molecular markers for improved diagnosis.
Authors: Yi Guo; Jia-xin Chen; Shu Yang; Xu-ping Fu; Zheng Zhang; Ke-he Chen; Yan Huang; Yao Li; Yi Xie; Yu-min Mao Journal: Acta Pharmacol Sin Date: 2010-11 Impact factor: 6.150
Authors: Christian Schwarzer; Zhu Fu; Takeshi Morita; Aaron G Whitt; Aaron M Neely; Chi Li; Terry E Machen Journal: J Biol Chem Date: 2015-01-27 Impact factor: 5.157
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