| Registro completo |
| Provedor de dados: |
Genet. Mol. Biol.
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| País: |
Brazil
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| Título: |
Association of polymorphisms in the heparanase gene (HPSE) with hepatocellular carcinoma in Chinese populations
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| Autores: |
Yu,Lixia
Zhang,Xiaoai
Zhai,Yun
Zhang,Hongxing
Yue,Wei
Zhang,Xiumei
Wang,Zhifu
Zhou,Hong
Zhou,Gangqiao
Gong,Feng
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| Data: |
2017-12-01
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| Ano: |
2017
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| Palavras-chave: |
Genetic association
Heparanase
Hepatocellular carcinoma
HPSE gene
PCR-RFLP
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| 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.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572017000500743
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| Editor: |
Sociedade Brasileira de Genética
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| Relação: |
10.1590/1678-4685-gmb-2014-0338
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| Formato: |
text/html
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| Fonte: |
Genetics and Molecular Biology v.40 n.4 2017
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| Direitos: |
info:eu-repo/semantics/openAccess
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