Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.
Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.
Int J Cancer. 2023 Aug 1;153(3):489-498. doi: 10.1002/ijc.34513. Epub 2023 Apr 22.
Methylation marks of exposure to health risk factors may be useful markers of cancer risk as they might better capture current and past exposures than questionnaires, and reflect different individual responses to exposure. We used data from seven case-control studies nested within the Melbourne Collaborative Cohort Study of blood DNA methylation and risk of colorectal, gastric, kidney, lung, prostate and urothelial cancer, and B-cell lymphoma (N cases = 3123). Methylation scores (MS) for smoking, body mass index (BMI), and alcohol consumption were calculated based on published data as weighted averages of methylation values. Rate ratios (RR) and 95% confidence intervals for association with cancer risk were estimated using conditional logistic regression and expressed per SD increase of the MS, with and without adjustment for health-related confounders. The contribution of MS to discriminate cases from controls was evaluated using the area under the curve (AUC). After confounder adjustment, we observed: large associations (RR = 1.5-1.7) with lung cancer risk for smoking MS; moderate associations (RR = 1.2-1.3) with urothelial cancer risk for smoking MS and with mature B-cell neoplasm risk for BMI and alcohol MS; moderate to small associations (RR = 1.1-1.2) for BMI and alcohol MS with several cancer types and cancer overall. Generally small AUC increases were observed after inclusion of several MS in the same model (colorectal, gastric, kidney, urothelial cancers: +3%; lung cancer: +7%; B-cell neoplasms: +8%). Methylation scores for smoking, BMI and alcohol consumption show independent associations with cancer risk, and may provide some improvements in risk prediction.
暴露于健康风险因素的甲基化标记物可能是癌症风险的有用标志物,因为它们可能比问卷更好地捕捉当前和过去的暴露情况,并反映出不同个体对暴露的不同反应。我们使用了来自墨尔本合作队列研究的七个病例对照研究的数据,该研究研究了血液 DNA 甲基化与结直肠癌、胃癌、肾癌、肺癌、前列腺癌和膀胱癌以及 B 细胞淋巴瘤风险的关系(病例数 N=3123)。基于已发表的数据,通过加权平均的方法计算了吸烟、体重指数(BMI)和饮酒的甲基化评分(MS)。使用条件逻辑回归估计了 MS 与癌症风险之间的关联的率比(RR)和 95%置信区间,并表示为 MS 每标准差增加的倍数,包括和不包括与健康相关的混杂因素的调整。使用曲线下面积(AUC)评估 MS 对区分病例和对照的贡献。在调整混杂因素后,我们观察到:吸烟 MS 与肺癌风险之间存在较大关联(RR=1.5-1.7);吸烟 MS 与膀胱癌风险、BMI 和酒精 MS 与成熟 B 细胞肿瘤风险之间存在中度关联(RR=1.2-1.3);BMI 和酒精 MS 与多种癌症类型和癌症总体之间存在中度到较小关联(RR=1.1-1.2)。在同一模型中纳入多个 MS 后,通常会观察到 AUC 略有增加(结直肠癌、胃癌、肾癌、膀胱癌:+3%;肺癌:+7%;B 细胞肿瘤:+8%)。吸烟、BMI 和饮酒的 MS 与癌症风险具有独立的关联,可能为风险预测提供一些改进。