Suppression of SAMSN1 Expression is Associated with the Malignant Phenotype of Hepatocellular Carcinoma

Annals of surgical oncology(2015)

引用 18|浏览4
暂无评分
摘要
Background Identification of molecular markers for sensitive detection of hepatocellular carcinoma (HCC) is required to achieve efficacious personalized therapy. Methods We focused here on SAM domain, SH3 domain, and nuclear localization signals 1 ( SAMSN1 ) and investigated expression and methylation status of SAMSN1 in HCC cell lines and 144 pairs of surgical specimens. Results SAMSN1 was expressed at significantly lower levels in tumor tissue compared with the corresponding noncancerous tissues of patients with HCC. Analysis of HCC cell lines revealed that hypermethylation of the SAMSN1 promoter correlated with decreased expression of SAMSN1 mRNA. Furthermore, treating cells with a DNA-demethylating drug increased SAMSN1 transcription. The levels of SAMSN1 mRNA in noncancerous liver were not affected by background liver inflammation or fibrosis. Moreover, the levels of SAMSN1 mRNA in HCC tissues inversely correlated with tumor size and preoperative levels of proteins induced by vitamin K absence. The clinical significance of SAMSN1 was further indicated by the correlation between its decreased expression in patients with HCC and their shorter overall and recurrence-free survival as well as recurrence following initial resection. Moreover, multivariate analysis identified SAMSN1 as an independent prognostic factor of HCC progression. The expression pattern of SAMSN1 correlated significantly with that of SAMSN1 mRNA, making it possible to use PCR techniques to readily quantitate SAMSN1 expression in tumors. Conclusions Our findings indicate that inhibition of SAMSN1 transcription through DNA hypermethylation may influence the progression of HCC and thus represent a novel biomarker of the phenotype of HCC cells.
更多
查看译文
关键词
Multiple Myeloma,Noncancerous Tissue,Intrahepatic Recurrence,Extrahepatic Recurrence,High Expression Group
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要