Department of Pulmonary and Critical Care Medicine, Shanghai Rui Jin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Institute of Respiratory Diseases, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Mol Carcinog. 2019 Jul;58(7):1094-1104. doi: 10.1002/mc.23017. Epub 2019 Apr 15.
The tumor necrosis factor (TNF)/TNF receptor (TNFR) pathway is known to influence survival of patients with cancer. We hypothesize that single nucleotide polymorphisms (SNPs) in the TNF/TNFR pathway genes related to apoptosis are associated with survival of patients with non-small cell lung cancer (NSCLC). We used 1185 patients with NSCLC in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial and 984 patients with NSCLC in the Harvard Lung Cancer Susceptibility Study as the discovery and validation datasets, respectively. We selected 6788 SNPs in 71 genes in the TNF/TNFR signaling pathway and extracted their genotyping data from the PLCO genowide-association study (GWAS) dataset. We performed Cox proportional hazards regression analysis to evaluate associations between the identified SNPs and survival and validated the significant SNPs, which were further analyzed for their functional relevance. We found that genotypes of two validated SNPs, IKBKAP rs4978754 CT + TT and TNFRSF1B rs677844 TC + CC, as well as their combined genotypes predicted a better overall survival (P = 0.004, 0.002 and <0.001, respectively). These two validated SNPs were predicted by the RegulomeDB score to be potentially functional. In addition, IKBKAP mRNA expression levels were significantly higher, while TNFRSF1B mRNA expression levels were significantly lower in lung cancer tissues than in adjacent normal tissues (P < 0.001). The Cancer Genome Atlas (TCGA)-based expression quantitative trait loci analysis showed that IKBKAP rs4978754 and TNFRSF1B rs677844 genotypes were significantly associated with their corresponding mRNA expression levels in lung cancer tissues in a recessive model (P = 0.035 and 0.045, respectively). Therefore, we identified two potentially functional SNPs (IKBKAP rs4978754 C > T and TNFRSF1B rs677844 T > C) to be associated with survival of patients with NSCLC.
肿瘤坏死因子 (TNF)/TNF 受体 (TNFR) 途径已知会影响癌症患者的生存。我们假设 TNF/TNFR 途径中与细胞凋亡相关的单核苷酸多态性 (SNP) 与非小细胞肺癌 (NSCLC) 患者的生存有关。我们分别使用前列腺癌、肺癌、结直肠癌和卵巢癌 (PLCO) 癌症筛查试验中的 1185 名 NSCLC 患者和哈佛肺癌易感性研究中的 984 名 NSCLC 患者作为发现和验证数据集。我们选择了 TNF/TNFR 信号通路中的 71 个基因中的 6788 个 SNP,并从 PLCO 全基因组关联研究 (GWAS) 数据集中提取了它们的基因分型数据。我们进行了 Cox 比例风险回归分析,以评估鉴定的 SNP 与生存之间的关联,并验证了显著的 SNP,进一步分析了它们的功能相关性。我们发现,两个验证 SNP 的基因型,IKBKAP rs4978754 CT + TT 和 TNFRSF1B rs677844 TC + CC,以及它们的组合基因型,预测了更好的总生存 (P = 0.004,0.002 和 <0.001,分别)。这两个验证 SNP 被 RegulomeDB 评分预测为潜在功能。此外,与邻近正常组织相比,肺癌组织中的 IKBKAP mRNA 表达水平显著升高,而 TNFRSF1B mRNA 表达水平显著降低 (P < 0.001)。基于癌症基因组图谱 (TCGA) 的表达数量性状基因座分析表明,IKBKAP rs4978754 和 TNFRSF1B rs677844 基因型在肺癌组织中以隐性模型与相应的 mRNA 表达水平显著相关 (P = 0.035 和 0.045,分别)。因此,我们鉴定了两个潜在的功能 SNP (IKBKAP rs4978754 C > T 和 TNFRSF1B rs677844 T > C),它们与 NSCLC 患者的生存相关。