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黑素细胞刺激素 1 受体与皮肤黑色素瘤风险:荟萃分析及人群负担评估。

Melanocortin 1 receptor and risk of cutaneous melanoma: a meta-analysis and estimates of population burden.

机构信息

Genetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Australia.

出版信息

Int J Cancer. 2011 Oct 1;129(7):1730-40. doi: 10.1002/ijc.25804. Epub 2011 Apr 1.

DOI:10.1002/ijc.25804
PMID:21128237
Abstract

Polymorphisms in the melanocortin 1 receptor (MC1R) gene have been associated with increased risks of melanoma, but different approaches to study design, analysis, and reporting have hindered comparisons of findings. We aimed to harmonize the published data by conducting a systematic review and meta-analysis of MC1R variants and thereby estimate relative risks and population attributable fractions (PAFs). We identified 20 analytic studies reporting on 25 populations, which presented quantitative data on melanoma risks associated with any of nine MC1R variants. We separately pooled estimates of risk per person and risk per chromosome using a random effects model. Red hair color (RHC) variants had the highest risk of melanoma [summary odds ratios (OR) 2.44, 95% confidence interval (CI) 1.72-3.45, PAF 16.8% CI 0.119-0.202], but non-RHC variants were also associated with increased risk (summary OR 1.29, 95% CI 1.10-1.51, PAF 7.4% CI 0.030-0.112). The summary risk of melanoma associated with individual variants ranged from OR 2.40 for R142H to 1.18 for V60L, although significant heterogeneity was evident for most variants. PAFs ranged from 0.55% for I155T to 6.28% for R151C. Our findings suggest the nine most common MC1R variants make a sizeable contribution to the burden of melanoma. Melanoma research would be greatly assisted by standardized classifications for MC1R variants and consistent reporting conventions. More compatible and comparable research would allow for more powerful data that could be clinically applied to predict melanoma risk.

摘要

黑素皮质素 1 受体 (MC1R) 基因中的多态性与黑色素瘤风险增加有关,但研究设计、分析和报告方法的不同阻碍了研究结果的比较。我们旨在通过对 MC1R 变体进行系统评价和荟萃分析来协调已发表的数据,从而估计相对风险和人群归因分数 (PAF)。我们确定了 20 项分析研究报告了 25 个群体,这些研究报告了与九个 MC1R 变体中的任何一个相关的黑色素瘤风险的定量数据。我们分别使用随机效应模型汇总每个人和每条染色体的风险估计值。红发 (RHC) 变体的黑色素瘤风险最高[综合优势比 (OR) 2.44,95%置信区间 (CI) 1.72-3.45,PAF 16.8%CI 0.119-0.202],但非-RHC 变体也与风险增加相关[综合 OR 1.29,95% CI 1.10-1.51,PAF 7.4%CI 0.030-0.112]。与个体变体相关的黑色素瘤综合风险从 R142H 的 OR 2.40 到 V60L 的 1.18 不等,尽管大多数变体都存在显著的异质性。PAF 从 I155T 的 0.55%到 R151C 的 6.28%不等。我们的研究结果表明,九个最常见的 MC1R 变体对黑色素瘤负担有相当大的贡献。标准化的 MC1R 变体分类和一致的报告约定将极大地帮助黑色素瘤研究。更兼容和可比的研究将允许更强大的数据,这些数据可以在临床上应用于预测黑色素瘤风险。

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Int J Cancer. 2011 Oct 1;129(7):1730-40. doi: 10.1002/ijc.25804. Epub 2011 Apr 1.
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