Suppression of SAMSN1 Expression is Associated with the Malignant Phenotype of Hepatocellular Carcinoma
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 methylati...
Gespeichert in:
Veröffentlicht in: | Annals of surgical oncology 2015-12, Vol.22 (Suppl 3), p.1453-1460 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
ISSN: | 1068-9265 1534-4681 |
DOI: | 10.1245/s10434-015-4524-1 |