These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Quantitative methylation analysis of multiple genes using methylation-sensitive restriction enzyme-based quantitative PCR for the detection of hepatocellular carcinoma.
    Author: Hua D, Hu Y, Wu YY, Cheng ZH, Yu J, Du X, Huang ZH.
    Journal: Exp Mol Pathol; 2011 Aug; 91(1):455-60. PubMed ID: 21600201.
    Abstract:
    DNA methylation is a promising biomarker for cancer. This study was aimed at investigating the methylation levels of multiple genes in hepatocellular carcinoma (HCC) and to identify a combination of methylation markers that would be useful for the diagnosis of HCC. The methylation status of a panel of nine tumor-associated genes (APC, GSTP1, RASSF1A, CDKN2A, SFRP1, RUNX3, SOCS1, Hint1, and HIC-1) in 8 normal liver tissues and 47 paired HCCs and non-tumorous tissues (NTs) was determined using a modified methylation-sensitive, restriction enzyme-based quantitative PCR (MSRE-qPCR) method. The methylation levels of six genes (APC, CDKN2A, GSTP1, RASSF1A, SFRP1 and RUNX3) were significantly higher in HCCs than in adjacent NTs (P<0.05). Although the AUC (area under the curve) for each individual gene was low to moderate (range: 0.576 to 0.835) according to receiver operator characteristic (ROC) curve analysis, the combination analysis of these six genes resulted in an increase of AUC of 0.954 with 85.1% sensitivity, 89.4% specificity, 88.9% positive predictive value, and 85.7% negative predictive value in discriminating HCC tissues from NT tissues. These results indicate that the analysis of a combination of these six methylated genes may be a promising method for the risk assessment and diagnosis of HCC.
    [Abstract] [Full Text] [Related] [New Search]