S. Mahmood, M. Sivoňová, T. Matáková, D. Dobrota, L. Wsólová, A. Dzian, D. Mistuna
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引用次数: 5
摘要
在转化过程中,关键基因如p53 Arg72Pro或EGF A61G的单核苷酸多态性(snp)可能介导多种细胞过程。这些变异可能与结直肠癌风险(CRC)有关,但报道的结果相互矛盾。本研究的目的是确定斯洛伐克人群中EGF A61G和p53 Arg72Pro 5 ' UTR snp与CRC的关系。本研究在173例确诊的结直肠癌患者和303名健康受试者中进行。采用PCR-RFLP方法进行基因分型。年龄与结直肠癌风险之间存在显著相关性(p=0.001)。携带基因型p53 Arg72Pro的年轻患者患结直肠癌的风险较低(0.14;95% CI 0.02 ~ 0.99, p=0.049)。性别分层分析显示,EGF G61G多态性与结直肠癌风险呈显著负相关(0.48;95% CI 0.2-0.9, p=0.04),仅在男性患者中存在。肿瘤部位基因型分布显示,女性局限性结肠癌患者与p53 Pro72Pro基因型显著相关(4.0;95% CI 1.27-12.7, p=0.04),而直肠乙状结肠结癌与EGF G61G基因型相关(4.5;95% CI 1.2 ~ 16.97, p=0.02)。通过逻辑回归分析,p53 Arg72Pro或EGF A61G多态性的组合与结直肠癌风险无关。
Association of EGF and p53 gene polymorphisms and colorectal cancer risk in the Slovak population
During the transformation process single nucleotide polymorphisms (SNPs) of key genes, such as p53 Arg72Pro or EGF A61G, may mediate various cellular processes. These variants may be associated with colorectal cancer risk (CRC), but conflicting findings have been reported. The purpose of this study was to determine the association of the SNPs in 5′ UTR of EGF A61G and p53 Arg72Pro and CRC in the Slovak population. The present case-control study was carried out in 173 confirmed CRC patients and 303 healthy subjects. Genotyping was performed by PCR-RFLP methods. Significant association was observed between age and CRC risk (p=0.001). Lower CRC risk was seen in younger patients carrying genotype p53 Arg72Pro (0.14; 95% CI 0.02–0.99, p=0.049). Gender-stratified analysis showed a significant inverse association of the polymorphism EGF G61G with CRC risk (0.48; 95% CI 0.2–0.9, p=0.04) only in male patients. Tumour site genotype distribution revealed that female patients with localized colon cancer were significantly associated with p53 Pro72Pro genotype (4.0; 95% CI 1.27–12.7, p=0.04) whereas the cancer of rectosigmoid junction was associated with the EGF G61G genotype (4.5; 95% CI 1.2–16.97, p=0.02). Combination of p53 Arg72Pro or EGF A61G polymorphisms were not associated with CRC risk by using logistic regression.