Data/hora: 08/06/2024 12:29:06

Provedor de dados: 	74	
País: 	Brazil	
Título: 	Association of polymorphisms in the heparanase gene (HPSE) with hepatocellular carcinoma in Chinese populations	
Autores: 	Yu,Lixia; Zhang,Xiaoai; Zhai,Yun; Zhang,Hongxing; Yue,Wei; Zhang,Xiumei; Wang,Zhifu; Zhou,Hong; Zhou,Gangqiao; Gong,Feng.	
Data: 	2017-12-01	
Ano: 	2017	
Palavras-chave: 	Genetic association; Heparanase; Hepatocellular carcinoma; HPSE gene; PCR-RFLP.	
Resumo: 	Abstract Heparanase activity is involved in cancer growth and development in humans and single nucleotide polymorphisms (SNPs) in the heparanase gene (HPSE) have been shown to be associated with tumors. In this study, we investigated whether SNPs in HPSE were a risk factor for hepatocellular carcinoma (HCC) by undertaking a comprehensive haplotype-tagging, case-control study. For this, six haplotype-tagging SNPs (htSNPs) in HPSE were genotyped in 400 HCC patients and 480 controls by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis. A log-additive model revealed significant correlations between the HPSE polymorphisms rs12331678 and rs12503843 and the risk of HCC in the overall samples (p = 0.0046 and p = 0.0055). When the analysis was stratified based on hepatitis B virus (HBV) carrier status, significant interactions between rs12331678 and rs12503843 and HBV were observed. Conditional logistic regression analysis for the independent effect of one significant SNP suggested that rs12331678 or rs12503843 contributed an independent effect to the significant association with the risk of HCC, respectively. Our findings suggest that the SNPs rs12331678 and rs12503843 are HCC risk factors, although the potential functional roles of these two SNPs remain to be fully elucidated.	
Tipo: 	Info:eu-repo/semantics/article	
Idioma: 	Inglês	
Identificador: 	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572017000500743	
Editor: 	Sociedade Brasileira de Genética	
Relação: 	10.1590/1678-4685-gmb-2014-0338	
Formato: 	text/html	
Fonte: 	Genetics and Molecular Biology  v.40 n.4 2017	
Fonte: 	info:eu-repo/semantics/openAccess