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RORA 和 DNMT1 基因变异与皮肤黑色素瘤生存相关。

Genetic variants in RORA and DNMT1 associated with cutaneous melanoma survival.

机构信息

Duke Cancer Institute, Duke University Medical Center, Durham, NC.

Department of Medicine, Duke University School of Medicine, Durham, NC.

出版信息

Int J Cancer. 2018 Jun 1;142(11):2303-2312. doi: 10.1002/ijc.31243. Epub 2018 Jan 17.

Abstract

Cutaneous melanoma (CM) is considered as a steroid hormone-related malignancy. However, few studies have evaluated the roles of genetic variants encoding steroid hormone receptor genes and their related regulators (SHR-related genes) in CM-specific survival (CMSS). Here, we performed a pathway-based analysis to evaluate genetic variants of 191 SHR-related genes in 858 CMSS patients using a dataset from a genome-wide association study (GWAS) from The University of Texas MD Anderson Cancer Center (MDACC), and then validated the results in an additional dataset of 409 patients from the Harvard GWAS. Using multivariate Cox proportional hazards regression analysis, we identified three-independent SNPs (RORA rs782917 G > A, RORA rs17204952 C > T and DNMT1 rs7253062 G > A) as predictors of CMSS, with a variant-allele attributed hazards ratio (HR) and 95% confidence interval of 1.62 (1.25-2.09), 1.60 (1.20-2.13) and 1.52 (1.20-1.94), respectively. Combined analysis of risk genotypes of these three SNPs revealed a decreased CMSS in a dose-response manner as the number of risk genotypes increased (p  < 0.001); however, no improvement in the prediction model was observed (area under the curve [AUC] = 79.6-80.8%, p = 0.656), when these risk genotypes were added to the model containing clinical variables. Our findings suggest that genetic variants of RORA and DNMT1 may be promising biomarkers for CMSS, but these results needed to be validated in future larger studies.

摘要

皮肤黑色素瘤(CM)被认为是一种与类固醇激素相关的恶性肿瘤。然而,很少有研究评估编码类固醇激素受体基因及其相关调节剂(SHR 相关基因)的遗传变异在 CM 特异性生存(CMSS)中的作用。在这里,我们使用来自德克萨斯大学 MD 安德森癌症中心(MDACC)全基因组关联研究(GWAS)的数据集,对 858 例 CMSS 患者的 191 个 SHR 相关基因的遗传变异进行了基于途径的分析,然后在来自哈佛 GWAS 的另外 409 例患者的数据集进行了验证。使用多变量 Cox 比例风险回归分析,我们确定了三个独立的 SNP(RORA rs782917 G> A、RORA rs17204952 C> T 和 DNMT1 rs7253062 G> A)作为 CMSS 的预测因子,其变异等位基因归因的风险比(HR)和 95%置信区间分别为 1.62(1.25-2.09)、1.60(1.20-2.13)和 1.52(1.20-1.94)。这三个 SNP 的风险基因型联合分析显示,随着风险基因型数量的增加,CMSS 呈剂量反应式下降(p<0.001);然而,当将这些风险基因型添加到包含临床变量的模型中时,并未观察到预测模型的改善(曲线下面积 [AUC] = 79.6-80.8%,p=0.656)。我们的研究结果表明,RORA 和 DNMT1 的遗传变异可能是 CMSS 的有前途的生物标志物,但这些结果需要在未来更大的研究中验证。

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