Hishida Asahi, Matsuo Keitaro, Tajima Kazuo, Ogura Michinori, Kagami Yoshitoyo, Taji Hirofumi, Morishima Yasuo, Emi Nobuhiko, Naoe Tomoki, Hamajima Nobuyuki
Department of Molecular Medicine and Clinical Science, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Leuk Lymphoma. 2004 May;45(5):957-64. doi: 10.1080/10428190310001638878.
We hypothesized that the polymorphisms in the two p53 family genes (p53 Arg72Pro and p73 G4C14-to-A4T14 at exon 2 (G4A)) and p21 Ser31Arg polymorphism might modulate the risk of non-Hodgkin's lymphoma, and conducted a hospital-based prevalent case control study at Aichi Cancer Center Hospital to clarify the association. Risk estimation for each genotype by the unconditional logistic model demonstrated the possible association between the p53 Pro72 allele and the risk of non-Hodgkin's lymphoma in Japanese population (OR = 1.59; 95% CI, 0.99-2.57, P = 0.057), although no other significant association was observed. The analyses of statistical interactions between these three polymorphisms (p73 G4A, p53 Arg72Pro and p21 Ser31Arg polymorphisms) revealed the marginally significant OR for interaction between p53 Arg72Pro and p73 G4A polymorphisms (OR = 2.54; 95% CI, 0.97 6.62, P = 0.057). When those without p53 Pro72 and p73 A4T14 alleles were defined as a reference, those with p53 Pro72 and p73 A4T14 alleles demonstrated a significantly higher OR (2.08; 95% CI, 1.11-3.90, P = 0.023). Further examination with a sufficiently larger population and other ethnicities are required to confirm our findings.
我们推测,两个p53家族基因(p53 Arg72Pro和第2外显子处的p73 G4C14到A4T14(G4A))以及p21 Ser31Arg多态性可能会调节非霍奇金淋巴瘤的风险,并在爱知县癌症中心医院开展了一项基于医院的现患病例对照研究以阐明这种关联。通过无条件逻辑模型对每种基因型进行风险估计表明,在日本人群中,p53 Pro72等位基因与非霍奇金淋巴瘤风险之间可能存在关联(比值比=1.59;95%置信区间,0.99 - 2.57,P = 0.057),尽管未观察到其他显著关联。对这三种多态性(p73 G4A、p53 Arg72Pro和p21 Ser31Arg多态性)之间的统计相互作用分析显示,p53 Arg72Pro和p73 G4A多态性之间的相互作用的比值比接近显著水平(比值比=2.54;95%置信区间,0.97 - 6.62,P = 0.057)。当将没有p53 Pro72和p73 A4T14等位基因的个体定义为参照时,具有p53 Pro72和p73 A4T14等位基因的个体显示出显著更高 的比值比(2.08;95%置信区间,1.11 - 3.90,P = 0.023)。需要用足够大的人群和其他种族进行进一步研究以证实我们的发现。