Analysis of the methylation status of secreted frizzled-related protein genes in hepatitis B virus-related hepatocellular carcinoma
10.3760/cma.j.issn.1000-6680.2009.04.003
- VernacularTitle:乙型肝炎病毒相关性肝细胞癌中分泌型卷曲相关蛋白基因甲基化分析
- Author:
Qian SU
;
Yufeng GAO
;
Junxia XIE
;
Yafei ZHANG
;
Jiabin LI
;
Shaofeng WEI
;
Xu LI
- Publication Type:Journal Article
- Keywords:
Intercellular signaling peptides and proteins;
Signal transduction;
Carcinoma,hepatocellular;
Hepatitis B virus;
DNA Methylation
- From:
Chinese Journal of Infectious Diseases
2009;27(4):203-206
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the methylation status of secreted frizzled-related protein (SFRP) 1 and SFRP2 genes in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) and the relationship between the methylation status of the two genes and the development of HCC.Methods Using methylation-specific polymerase chain reaction (MSP) to detect methylation status of SFRP1 and SFRP2 genes of 45 specimens of HCC tissue and adjacent non-tumorous liver tissue from HCC patients during operations,and 6 normal liver tissues from patients with cholecystolithiasis or hepatic hemangiomas. The data were analyzed by chi-square test and Fisher exact test. Results SFRP1 gene methylation was detected in 28 HCC tissues and 16 adjacent non-tumorous liver tissues,accounted for 62.2% and 35.6%,respectively;and SFRP2 gene methylation was detected in 23 HCC tissues and 13 adjacent non-tumorous liver tissues,accounted for 51.1% and 28.9%,respectively;while no methylation was detected in 6 samples of normal liver tissues. There was no significant difference between the methylation of SFRP1 and SFRP2 genes in HCC tissues and gender,age,HBV serum markers,types of adjacent non-tumorous liver tissues,metastasis and pathological stage (P＞0.05).The abnormal methylation status between SFRP1 and SFRP2 genes was linear correlated in HCC tissues (r=0.381,P=0.01).Conclusion Hypermethylation of SFRP1 and SFRP2 genes frequently occurs in HBV-related HCC,which may be an important molecular biomarker for prediction of hepatocarcinogenesis in the future.
