Department of Dermatology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Duke Cancer Institute, Duke University Medical Center, Durham, NC.
Int J Cancer. 2019 Nov 15;145(10):2619-2628. doi: 10.1002/ijc.32194. Epub 2019 Feb 20.
Fatty acids play a key role in cellular bioenergetics, membrane biosynthesis and intracellular signaling processes and thus may be involved in cancer development and progression. In the present study, we comprehensively assessed associations of 14,522 common single-nucleotide polymorphisms (SNPs) in 149 genes of the fatty-acid synthesis pathway with cutaneous melanoma disease-specific survival (CMSS). The dataset of 858 cutaneous melanoma (CM) patients from a published genome-wide association study (GWAS) by The University of Texas M.D. Anderson Cancer Center was used as the discovery dataset, and the identified significant SNPs were validated by a dataset of 409 CM patients from another GWAS from the Nurses' Health and Health Professionals Follow-up Studies. We found 40 noteworthy SNPs to be associated with CMSS in both discovery and validation datasets after multiple comparison correction by the false positive report probability method, because more than 85% of the SNPs were imputed. By performing functional prediction, linkage disequilibrium analysis, and stepwise Cox regression selection, we identified two independent SNPs of ELOVL2 rs3734398 T>C and HSD17B12 rs11037684 A>G that predicted CMSS, with an allelic hazards ratio of 0.66 (95% confidence interval = 0.51-0.84 and p = 8.34 × 10 ) and 2.29 (1.55-3.39 and p = 3.61 × 10 ), respectively. Finally, the ELOVL2 rs3734398 variant CC genotype was found to be associated with a significantly increased mRNA expression level. These SNPs may be potential markers for CM prognosis, if validated by additional larger and mechanistic studies.
脂肪酸在细胞生物能量学、膜生物合成和细胞内信号转导过程中发挥着关键作用,因此可能与癌症的发生和发展有关。在本研究中,我们全面评估了脂肪酸合成途径中 149 个基因的 14522 个常见单核苷酸多态性(SNP)与皮肤黑色素瘤疾病特异性生存(CMSS)的关联。使用来自德克萨斯大学 MD 安德森癌症中心发表的全基因组关联研究(GWAS)的 858 例皮肤黑色素瘤(CM)患者数据集作为发现数据集,通过来自护士健康和健康专业人员随访研究的另一个 GWAS 的 409 例 CM 患者数据集验证了鉴定的显著 SNP。在通过假阳性报告概率方法进行多次比较校正后,我们在发现和验证数据集中发现了 40 个与 CMSS 相关的有意义的 SNP,因为超过 85%的 SNP 是通过 imputation 得到的。通过进行功能预测、连锁不平衡分析和逐步 Cox 回归选择,我们确定了两个独立的 ELOVL2 rs3734398 T>C 和 HSD17B12 rs11037684 A>G 基因的 SNP 与 CMSS 相关,等位基因风险比分别为 0.66(95%置信区间=0.51-0.84,p=8.34×10)和 2.29(1.55-3.39,p=3.61×10)。最后,发现 ELOVL2 rs3734398 变体 CC 基因型与显著增加的 mRNA 表达水平相关。如果通过额外的更大和机制研究进行验证,这些 SNP 可能是 CM 预后的潜在标志物。