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酮体代谢途径中的 PDSS1 和 SLC16A6 基因变异可预测皮肤黑色素瘤的特异性生存。

Genetic variants in PDSS1 and SLC16A6 of the ketone body metabolic pathway predict cutaneous melanoma-specific survival.

机构信息

Department of Dermatology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.

Duke Cancer Institute, Duke University Medical Center, Durham, North Carolina.

出版信息

Mol Carcinog. 2020 Jun;59(6):640-650. doi: 10.1002/mc.23191. Epub 2020 Mar 31.

Abstract

A few single-nucleotide polymorphisms (SNPs) have been identified to be associated with cutaneous melanoma (CM) survival through genome-wide association studies, but stringent multiple testing corrections required for the hypothesis-free testing may have masked some true associations. Using a hypothesis-driven analysis approach, we sought to evaluate associations between SNPs in ketone body metabolic pathway genes and CM survival. We comprehensively assessed associations between 4196 (538 genotyped and 3658 imputed) common SNPs in 44 ketone body metabolic pathway genes and CM survival, using a dataset of 858 patients of a case-control study from The University of Texas M.D. Anderson Cancer Center as the discovery set and another dataset of 409 patients from the Nurses' Health Study and the Health Professionals Follow-up Study as the replication set. There were 95/858 (11.1%) and 48/409 (11.7%) patients who died of CM, respectively. We identified two independent SNPs (ie, PDSS1 rs12254548 G>C and SLC16A6 rs71387392 G>A) that were associated with CM survival, with allelic hazards ratios of 0.58 (95% confidence interval [CI] = 0.44-0.76, P = 9.00 × 10 ) and 1.98 (95% CI = 1.34-2.94, P = 6.30 × 10 ), respectively. Additionally, associations between genotypes of the SNPs and messenger RNA expression levels of their corresponding genes support the biologic plausibility of a role for these two variants in CM tumor progression and survival. Once validated by other larger studies, PDSS1 rs12254548 and SLC16A6 rs71387392 may be valuable biomarkers for CM survival.

摘要

一些单核苷酸多态性(SNPs)已通过全基因组关联研究被鉴定与皮肤黑色素瘤(CM)的生存相关,但由于无假设检验需要进行严格的多重检验校正,这可能掩盖了一些真实的关联。我们采用了一种基于假设的分析方法,旨在评估酮体代谢途径基因中的 SNPs 与 CM 生存之间的关联。我们全面评估了 44 个酮体代谢途径基因中的 4196 个(538 个已分型和 3658 个推测的)常见 SNPs 与 CM 生存之间的关联,使用来自德克萨斯大学 MD 安德森癌症中心病例对照研究的 858 名患者数据集作为发现集,以及来自护士健康研究和健康专业人员随访研究的 409 名患者数据集作为复制集。分别有 95/858(11.1%)和 48/409(11.7%)名患者死于 CM。我们鉴定出两个独立的 SNPs(即 PDSS1 rs12254548 G>C 和 SLC16A6 rs71387392 G>A)与 CM 生存相关,等位基因危险比分别为 0.58(95%置信区间 [CI] = 0.44-0.76,P = 9.00 × 10 )和 1.98(95% CI = 1.34-2.94,P = 6.30 × 10 )。此外,这些 SNPs 的基因型与相应基因的信使 RNA 表达水平之间的关联支持这两种变体在 CM 肿瘤进展和生存中起作用的生物学可能性。一旦通过其他更大的研究得到验证,PDSS1 rs12254548 和 SLC16A6 rs71387392 可能成为 CM 生存的有价值的生物标志物。

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