Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Department for Health Evidence, Radboud University Medical Center, Nijmegen, The Netherlands.
Eur Urol. 2023 Jul;84(1):127-137. doi: 10.1016/j.eururo.2023.04.020. Epub 2023 May 19.
Genomic regions identified by genome-wide association studies (GWAS) for bladder cancer risk provide new insights into etiology.
To identify new susceptibility variants for bladder cancer in a meta-analysis of new and existing genome-wide genotype data.
DESIGN, SETTING, AND PARTICIPANTS: Data from 32 studies that includes 13,790 bladder cancer cases and 343,502 controls of European ancestry were used for meta-analysis.
Log-additive associations of genetic variants were assessed using logistic regression models. A fixed-effects model was used for meta-analysis of the results. Stratified analyses were conducted to evaluate effect modification by sex and smoking status. A polygenic risk score (PRS) was generated on the basis of known and novel susceptibility variants and tested for interaction with smoking.
Multiple novel bladder cancer susceptibility loci (6p.22.3, 7q36.3, 8q21.13, 9p21.3, 10q22.1, 19q13.33) as well as improved signals in three known regions (4p16.3, 5p15.33, 11p15.5) were identified, bringing the number of independent markers at genome-wide significance (p < 5 × 10) to 24. The 4p16.3 (FGFR3/TACC3) locus was associated with a stronger risk for women than for men (p-interaction = 0.002). Bladder cancer risk was increased by interactions between smoking status and genetic variants at 8p22 (NAT2; multiplicative p value for interaction [p] = 0.004), 8q21.13 (PAG1; p = 0.01), and 9p21.3 (LOC107987026/MTAP/CDKN2A; p = 0.02). The PRS based on the 24 independent GWAS markers (odds ratio per standard deviation increase 1.49, 95% confidence interval 1.44-1.53), which also showed comparable results in two prospective cohorts (UK Biobank, PLCO trial), revealed an approximately fourfold difference in the lifetime risk of bladder cancer according to the PRS (e.g., 1st vs 10th decile) for both smokers and nonsmokers.
We report novel loci associated with risk of bladder cancer that provide clues to its biological underpinnings. Using 24 independent markers, we constructed a PRS to stratify lifetime risk. The PRS combined with smoking history, and other established risk factors, has the potential to inform future screening efforts for bladder cancer.
We identified new genetic markers that provide biological insights into the genetic causes of bladder cancer. These genetic risk factors combined with lifestyle risk factors, such as smoking, may inform future preventive and screening strategies for bladder cancer.
全基因组关联研究(GWAS)确定的基因组区域为膀胱癌风险提供了病因学的新见解。
通过对新的和现有的全基因组基因型数据进行荟萃分析,确定膀胱癌的新易感变异。
设计、设置和参与者:使用来自 32 项研究的数据进行荟萃分析,这些研究包括 13790 例膀胱癌病例和 343502 例欧洲血统对照。
使用逻辑回归模型评估遗传变异的对数加性关联。使用固定效应模型对结果进行荟萃分析。进行分层分析以评估性别和吸烟状态的效应修饰。根据已知和新的易感变异生成多基因风险评分(PRS),并测试其与吸烟的相互作用。
确定了多个新的膀胱癌易感基因座(6p.22.3、7q36.3、8q21.13、9p21.3、10q22.1、19q13.33)以及三个已知区域(4p16.3、5p15.33、11p15.5)的信号改善,使全基因组显著水平(p < 5×10)的独立标记数量达到 24 个。4p16.3(FGFR3/TACC3)基因座与女性的风险比男性更强(p 交互=0.002)。吸烟状态与 8p22(NAT2;交互作用的乘法 p 值 [p] = 0.004)、8q21.13(PAG1;p = 0.01)和 9p21.3(LOC107987026/MTAP/CDKN2A;p = 0.02)的遗传变异之间的相互作用增加了膀胱癌风险。基于 24 个独立的 GWAS 标记的 PRS(每标准偏差增加的优势比为 1.49,95%置信区间为 1.44-1.53),在两个前瞻性队列(英国生物库、PLCO 试验)中也得到了类似的结果,根据 PRS(例如,第 1 个与第 10 个十分位数),无论吸烟与否,终生患膀胱癌的风险差异约为 4 倍。
我们报告了与膀胱癌风险相关的新基因座,为其生物学基础提供了线索。我们使用 24 个独立的标记构建了一个 PRS 来分层终生风险。PRS 结合吸烟史和其他已确立的风险因素,有可能为未来的膀胱癌筛查工作提供信息。
我们确定了新的遗传标记,为膀胱癌的遗传原因提供了生物学见解。这些遗传危险因素与吸烟等生活方式危险因素相结合,可能为未来的预防和筛查策略提供信息。