Department of Thoracic Oncology, Huadong Hospital, Fudan University, Shanghai, China.
Duke Cancer Institute, Duke University Medical Center, Durham, NC.
Int J Cancer. 2020 Sep 15;147(6):1559-1570. doi: 10.1002/ijc.32932. Epub 2020 Mar 9.
The ketone metabolism pathway is a principle procedure in physiological homeostasis and induces cancer cells to switch between glycolysis and oxidative phosphorylation for energy production. We conducted a two-phase analysis for associations between genetic variants in the ketone metabolism pathway genes and survival of nonsmall cell lung cancer (NSCLC) by analyzing genotyping data from two published genome-wide association studies (GWASs). In the discovery, we used a genotyping dataset from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial in the multivariable Cox proportional hazards regression analysis. We used Bayesian false discovery probability (≤0.80) for multiple testing correction to evaluate associations between 25,819 (2,176 genotyped and 23,643 imputed) single-nucleotide polymorphisms (SNPs) in 162 genes and survival of 1,185 NSCLC patients. Subsequently, we validated the identified significant SNPs with an additional 984 NSCLC patients from the Harvard Lung Cancer Susceptibility GWAS study. Finally, we found that three independent and potentially functional SNPs in three different genes (i.e., PLIN2 rs7867814 G>A, SULT2A1 rs2547235 C>T and UGT1A9 rs2011404 C>T) were independently associated with risk of death from NSCLC, with a combined hazards ratio of 1.22 [95% confidence interval = 1.09-1.36 and p = 0.0003], 0.82 (0.74-0.91 and p = 0.0002) and 1.21 (1.10-1.33 and p = 0.0001), respectively. Additional expression quantitative trait loci analysis found that the survival-associated PLIN2 rs7867814 GA + AA genotypes, but not the genotypes of other two SNPs, were significantly associated with increased mRNA expression levels (p = 0.005). These results indicated that PLIN2 variants may be potential predictors of NSCLC survival through regulating the PLIN2 expression.
酮代谢途径是生理内稳态的主要过程,它促使癌细胞在糖酵解和氧化磷酸化之间切换,以产生能量。我们通过分析两项已发表的全基因组关联研究(GWAS)的基因分型数据,对酮代谢途径基因中的遗传变异与非小细胞肺癌(NSCLC)患者生存之间的关联进行了两阶段分析。在发现阶段,我们使用了多变量 Cox 比例风险回归分析来自前列腺癌、肺癌、结直肠癌和卵巢癌筛查试验的基因分型数据集。我们使用贝叶斯假发现概率(≤0.80)进行多重测试校正,以评估 162 个基因中的 25819 个(2176 个已基因分型和 23643 个已推断)单核苷酸多态性(SNP)与 1185 名 NSCLC 患者生存之间的关联。随后,我们使用来自哈佛肺癌易感性 GWAS 研究的另外 984 名 NSCLC 患者对鉴定出的显著 SNP 进行了验证。最后,我们发现三个不同基因中的三个独立且潜在功能的 SNP(即 PLIN2 rs7867814 G>A、SULT2A1 rs2547235 C>T 和 UGT1A9 rs2011404 C>T)与 NSCLC 死亡风险独立相关,合并危险比为 1.22[95%置信区间为 1.09-1.36,p=0.0003]、0.82(0.74-0.91,p=0.0002)和 1.21(1.10-1.33,p=0.0001)。额外的表达数量性状基因座分析发现,与生存相关的 PLIN2 rs7867814 GA+AA 基因型,但不是其他两个 SNP 的基因型,与 mRNA 表达水平的显著增加相关(p=0.005)。这些结果表明,PLIN2 变体可能通过调节 PLIN2 表达成为 NSCLC 生存的潜在预测因子。