Zhao Ling-Ling, Liu Hong-Liang, Luo Sheng, Walsh Kyle M, Li Wei, Wei Qingyi
Cancer Center, The First Hospital of Jilin University Changchun, China.
Duke Cancer Institute, Duke University Medical Cente Durham, NC, USA.
Am J Cancer Res. 2020 Jul 1;10(7):2128-2144. eCollection 2020.
The ATM serine/threonine kinase (ATM) pathway plays important roles in pancreatic cancer (PanC) development and progression, but the roles of genetic variants of the genes in this pathway in the etiology of PanC are unknown. In the present study, we assessed associations between 31,499 single nucleotide polymorphisms (SNPs) in 198 ATM pathway-related genes and PanC risk using genotyping data from two previously published PanC genome-wide association studies (GWASs) of 15,423 subjects of European ancestry. In multivariable logistic regression analysis, we identified three novel independent SNPs to be significantly associated with PanC risk [ rs76692125 G>A: odds ratio (OR)=1.26, 95% confidence interval (CI)=1.12-1.43 and =2.07×10, rs11668724 G>A: OR=0.89, 95% CI=0.84-0.94 and =4.21×10 and rs13207108 C>T: OR=0.83, 95% CI=0.75-0.92, =2.26×10]. The combined analysis of these three SNPs exhibited an increased PanC risk in a dose-response manner as the number of unfavorable genotypes increased ( <0.0001). The risk-associated rs76692125 A allele was correlated with decreased mRNA expression levels, while the protective-associated rs11668724 A allele was correlated with increased mRNA expression levels, but additional mechanistic studies of these SNPs are warranted. Once validated, these SNPs may serve as biomarkers for PanC risk in populations of European ancestry.
ATM丝氨酸/苏氨酸激酶(ATM)通路在胰腺癌(PanC)的发生和发展中起着重要作用,但该通路中基因的遗传变异在PanC病因学中的作用尚不清楚。在本研究中,我们使用来自两项先前发表的针对15423名欧洲血统受试者的PanC全基因组关联研究(GWAS)的基因分型数据,评估了198个与ATM通路相关基因中的31499个单核苷酸多态性(SNP)与PanC风险之间的关联。在多变量逻辑回归分析中,我们确定了三个新的独立SNP与PanC风险显著相关[rs76692125 G>A:比值比(OR)=1.26,95%置信区间(CI)=1.12 - 1.43,P = 2.07×10⁻⁵;rs11668724 G>A:OR = 0.89,95% CI = 0.84 - 0.94,P = 4.21×10⁻⁶;rs13207108 C>T:OR = 0.83,95% CI = 0.75 - 0.92,P = 2.26×10⁻⁴]。随着不利基因型数量的增加,这三个SNP的联合分析显示PanC风险以剂量反应方式增加(P < 0.0001)。与风险相关的rs76692125 A等位基因与mRNA表达水平降低相关,而与保护相关的rs11668724 A等位基因与mRNA表达水平增加相关,但这些SNP的额外机制研究仍有必要。一旦得到验证,这些SNP可作为欧洲血统人群中PanC风险的生物标志物。