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Oncotarget ; 7(35): 56798-56810, 2016 Aug 30.
Article in English | MEDLINE | ID: mdl-27462864

ABSTRACT

The abnormality of DNA methylation is one of the major epigenetic alterations in the human hepatocellular carcinoma (HCC). We have assessed the global genomic DNA methylation profiles in human HCC patients by using the Infinium Human Methylation27 BeadChip. A CpG loci of S100A8 was found to be significantly hypomethylated in HCC.Pooled meta-analysis of five validation public datasets demonstrated its methylation level was significantly lower for HCC compared to paired adjacent normal tissues. Quantitative pyrosequencing analysis also showed that the S100A8 methylation level was decreased in cancer tissues (31.90%±13.31%) than that in the paired adjacent normal tissues (65.33%±3.64%, p<0.01). The area under the ROC curve (AUC) value was 0.950 (p<0.01). Kaplan-Meier survival curves revealed that hypomethylation of S100A8 was associated with shortened overall survival (OS) and progression-free survival (PFS) (log rank p<0.05). Multivariate Cox proportional hazards model also indicated significantly shorter OS (HR, 1.709; 95 % CI, 1.127-2.591) and PFS (HR, 1.767; 95 % CI, 1.168-2.974) were observed in the low-methylation-level group compared to the high-methylation-level group. Furthermore, S100A8 overexpression in Huh7 and MHCC-97H hepatoma cell lines led to increased cell proliferation, migration, invasion, and tumor growth. These findings suggested S100A8 methylation to be served as potential diagnosis and prognosis marker for HCC. S100A8 also may play as a tumor promoter in HCC.


Subject(s)
Biomarkers, Tumor/metabolism , Calgranulin A/chemistry , Carcinoma, Hepatocellular/metabolism , Liver Neoplasms/metabolism , Animals , Area Under Curve , Carcinoma, Hepatocellular/diagnosis , Cell Line, Tumor , CpG Islands , DNA Methylation , Disease-Free Survival , Epigenesis, Genetic , Gene Expression Regulation, Neoplastic , Humans , Kaplan-Meier Estimate , Liver Neoplasms/diagnosis , Male , Mice , Mice, Inbred BALB C , Multivariate Analysis , Prognosis , Promoter Regions, Genetic , Proportional Hazards Models , Sequence Analysis, DNA , Treatment Outcome
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