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小鼠双微体2基因单核苷酸多态性T309G与尿路癌风险的Meta分析

Murine Double Minute 2 SNP T309G Polymorphism and Urinary Tract Cancer Risk: A Meta-Analysis.

作者信息

Ding Hui, Dai Yu, Ning Zhongyun, Fan Ning, Wang Zhiping, Li Pei, Zhang Liyuan, Tao Yan, Wang Hanzhang

机构信息

From the Department of Urology (HD, YD, ZN, NF, ZW, LZ, YT), Key Laboratory of Diseases of Urological System Gansu Province, Gansu Nephro-Urological Clinical Center, The Second Hospital of Lanzhou University, Lanzhou; The Second Clinical College of Lanzhou University (PL), Lanzhou, Gansu, China; and Tulane University School of Public Health (HW), New Orleans, LA.

出版信息

Medicine (Baltimore). 2016 Mar;95(12):e2941. doi: 10.1097/MD.0000000000002941.

DOI:10.1097/MD.0000000000002941
PMID:27015167
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4998362/
Abstract

Urinary tract cancer is a common cause of cancer-related death. The etiology and pathogenesis of urinary tract cancer remain unclear, with genetic and epigenetic factors playing an important role. Studies of the polymorphism of murine double minute 2 (MDM2) have shown inconclusive trends in the risk of urinary tract cancer.To clarify this inconsistency, we conducted updated meta-analyses to evaluate the role of MDM2 T309G polymorphism in urinary tract cancer susceptibility.Data sources were Pubmed (1966-May 2015), Chinese biomedicine literature database (1978-May 2015), and hand searching of the reference lists of included studies:(1) research categories case-control study or a nested case-control study; (2) information evaluating the association between the MDM2 SNP309 and urinary tract cancer risk; (3) studies with sufficient data to perform a meta-analysis.It included the use of odds ratios (ORs) to assess the strength of the association, and 95% confidence intervals (CIs) give a sense of the precision of the estimate. We used I for the assessment of between-study heterogeneity, and publication bias was assessed using the funnel plot and the Egger test. Statistical analyses were performed by Review Manage, version 5.0 and Stata 11.0.A total of 18 studies met the eligibility criteria and were included in our analyses. Overall, there was no statistical association between MDM2 SNP309 and prostate cancer risk for the allele contrast, the GG genotype, the recessive genetic model, the dominant genetic model, and prostate cancer risk in all subjects (OR = 0.96, 95% CI 0.87-1.05, P = 0.36; OR = 0.93, 95% CI 0.75-1.15, P = 0.50; OR = 1.00, 95% CI 0.87-1.15, P = 0.99; OR = 0.93, 95% CI 0.80-1.07, P = 0.30), and between MDM2 SNP309 and bladder cancer risk (the allele contrast: OR = 1.06, 95% CI 0.89-1.27, P = 0.50; the GG genotype: OR = 1.12, 95% CI 0.79-1.61, P = 0.52; the dominant genetic model: OR = 1.03, 95% CI 0.83-1.28, P = 0.78; the recessive genetic model: OR = 1.12, 95% CI 0.84-1.49, P = 0.45). However, there was positive association between MDM2 SNP309 and kidney cancer risk for the allele contrast (OR = 1.24, 95% CI 1.05-1.46, P = 0.01), the GG genotype (OR = 1.57, 95% CI 1.11-2.20, P = 0.01), dominant model contrast (OR = 1.30, 95% CI 1.00-1.68, P = 0.05), the recessive genetic model (OR = 1.37, 95% CI 1.02-1.83, P = 0.04).First, only the data of published studies were included in this meta-analysis. Unpublished studies tend to show more negative results; therefore, publication bias may be present. Second, because of the lack of the original data, we did not perform stratification analysis by age, hormone levels, dietary habit, or other variables. This might have caused confounding bias. Third, because the number of studies was relatively small for kidney cancer, the results might not have enough statistical power for us to investigate the association of the polymorphism with kidney cancer susceptibility, and we could not perform subgroup analyses. Finally, there were no studies about Africans in this meta-analysis.In summary, the results of our meta-analysis suggest an increased risk role of the MDM2 SNP T309G in renal cancer. However, there was no association between the MDM2 SNP T309G and prostate cancer risk or between the MDM2 SNP T309G and bladder cancer risk. Moreover, well-designed studies should estimate different ethnicities, degree of malignancy and clinical progression on the association between MDM2 SNP309 and urinary cancer risk in the future.

摘要

泌尿系统癌症是癌症相关死亡的常见原因。泌尿系统癌症的病因和发病机制尚不清楚,遗传和表观遗传因素起着重要作用。对小鼠双微体2(MDM2)多态性的研究表明,其在泌尿系统癌症风险方面的趋势尚无定论。为了阐明这种不一致性,我们进行了更新的荟萃分析,以评估MDM2 T309G多态性在泌尿系统癌症易感性中的作用。

数据来源为PubMed(1966年至2015年5月)、中国生物医学文献数据库(1978年至2015年5月),并通过手工检索纳入研究的参考文献列表:(1)研究类别为病例对照研究或巢式病例对照研究;(2)评估MDM2 SNP309与泌尿系统癌症风险之间关联的信息;(3)有足够数据进行荟萃分析的研究。采用比值比(OR)评估关联强度,95%置信区间(CI)给出估计精度。使用I统计量评估研究间异质性,采用漏斗图和Egger检验评估发表偏倚。使用Review Manage 5.0版和Stata 11.0进行统计分析。

共有18项研究符合纳入标准并纳入我们的分析。总体而言,在等位基因对比、GG基因型、隐性遗传模型、显性遗传模型以及所有受试者的前列腺癌风险方面,MDM2 SNP309与前列腺癌风险之间无统计学关联(OR = 0.96,95% CI 0.87 - 1.05,P = 0.36;OR = 0.93,95% CI 0.75 - 1.15,P = 0.50;OR = 1.00,95% CI 0.87 - 1.15,P = 0.99;OR = 0.93,95% CI 0.80 - 1.07,P = 0.30),MDM2 SNP309与膀胱癌风险之间也无关联(等位基因对比:OR = 1.06,95% CI 0.89 - 1.27,P = 0.50;GG基因型:OR = 1.12,95% CI 0.79 - 1.61,P = 0.52;显性遗传模型:OR = 1.03,95% CI 0.83 - 1.28,P = 0.78;隐性遗传模型:OR = 1.12,95% CI 0.84 - 1.49,P = 0.45)。然而,在等位基因对比(OR = 1.24,95% CI 1.05 - 1.46,P = 0.01)、GG基因型(OR = 1.57,95% CI 1.11 - 2.20,P = 0.01)、显性模型对比(OR = 1.30,95% CI 1.00 - 1.68,P = 0.05)、隐性遗传模型(OR = 1.37,95% CI 1.02 - 1.83,P = 0.04)方面,MDM2 SNP309与肾癌风险之间存在正相关。

首先,本荟萃分析仅纳入了已发表研究的数据。未发表的研究往往显示出更多阴性结果;因此,可能存在发表偏倚。其次,由于缺乏原始数据,我们未按年龄、激素水平、饮食习惯或其他变量进行分层分析。这可能导致混杂偏倚。第三,由于肾癌的研究数量相对较少,结果可能没有足够的统计效力来研究该多态性与肾癌易感性的关联,且我们无法进行亚组分析。最后,本荟萃分析中没有关于非洲人的研究。

总之,我们的荟萃分析结果表明MDM2 SNP T309G在肾癌中具有增加风险的作用。然而,MDM2 SNP T309G与前列腺癌风险或膀胱癌风险之间无关联。此外,未来设计良好的研究应评估不同种族、恶性程度和临床进展对MDM2 SNP309与泌尿系统癌症风险之间关联的影响。

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The T309G murine double minute 2 gene polymorphism is an independent prognostic factor for patients with renal cell carcinoma.
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