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基于血液 DNA 甲基化的生物学衰老指标与癌症风险:一项前瞻性研究。

Biological Aging Measures Based on Blood DNA Methylation and Risk of Cancer: A Prospective Study.

机构信息

Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.

Cancer Epidemiology Division, Cancer Council, Victoria, Melbourne, Victoria, Australia.

出版信息

JNCI Cancer Spectr. 2020 Nov 16;5(1). doi: 10.1093/jncics/pkaa109. eCollection 2021 Feb.

Abstract

BACKGROUND

We previously investigated the association between 5 "first-generation" measures of epigenetic aging and cancer risk in the Melbourne Collaborative Cohort Study. This study assessed cancer risk associations for 3 recently developed methylation-based biomarkers of aging: , , and predicted telomere length.

METHODS

We estimated rate ratios (RRs) for the association between these 3 age-adjusted measures and risk of colorectal (N = 813), gastric (N = 165), kidney (N = 139), lung (N = 327), mature B-cell (N = 423), prostate (N = 846), and urothelial (N = 404) cancer using conditional logistic regression models. We also assessed associations by time since blood draw and by cancer subtype, and we investigated potential nonlinearity.

RESULTS

We observed relatively strong associations of age-adjusted with risk of colorectal, kidney, lung, mature B-cell, and urothelial cancers (RR per SD was approximately 1.2-1.3). Similar findings were obtained for age-adjusted , but the association with lung cancer risk was much larger (RR per SD = 1.82, 95% confidence interval [CI] = 1.44 to 2.30), after adjustment for smoking status, pack-years, starting age, time since quitting, and other cancer risk factors. Most associations appeared linear, larger than for the first-generation measures, and were virtually unchanged after adjustment for a large set of sociodemographic, lifestyle, and anthropometric variables. For cancer overall, the comprehensively adjusted rate ratio per SD was 1.13 (95% CI = 1.07 to 1.19) for and 1.12 (95% CI = 1.05 to 1.20) for and appeared larger within 5 years of blood draw (RR = 1.29, 95% CI = 1.15 to 1.44 and 1.19, 95% CI = 1.06 to 1.33, respectively).

CONCLUSIONS

The methylation-based measures and may provide insights into the relationship between biological aging and cancer and be useful to predict cancer risk, particularly for lung cancer.

摘要

背景

我们先前研究了在墨尔本合作队列研究中,5 种“第一代”表观遗传衰老指标与癌症风险之间的关联。本研究评估了 3 种新开发的基于甲基化的衰老生物标志物(、和预测端粒长度)与癌症风险的关联。

方法

我们使用条件逻辑回归模型估计了这 3 种年龄调整后的指标与结直肠癌(N=813)、胃癌(N=165)、肾癌(N=139)、肺癌(N=327)、成熟 B 细胞(N=423)、前列腺癌(N=846)和膀胱癌(N=404)风险之间的比率比(RR)。我们还按采血后时间和癌症亚型评估了关联,并研究了潜在的非线性关系。

结果

我们观察到年龄调整后的与结直肠癌、肾癌、肺癌、成熟 B 细胞和膀胱癌风险之间存在较强的关联(每标准差的 RR 约为 1.2-1.3)。年龄调整后的也有类似的发现,但与肺癌风险的关联更大(每标准差的 RR=1.82,95%置信区间[CI] = 1.44 至 2.30),在调整吸烟状况、包年数、起始年龄、戒烟时间和其他癌症风险因素后。大多数关联似乎呈线性,大于第一代指标,并且在调整了一大组社会人口统计学、生活方式和人体测量学变量后几乎没有变化。对于癌症总体,综合调整后的每标准差比率比为 1.13(95%CI=1.07 至 1.19),1.12(95%CI=1.05 至 1.20),并且在采血后 5 年内更大(RR=1.29,95%CI=1.15 至 1.44 和 1.19,95%CI=1.06 至 1.33,分别)。

结论

基于甲基化的指标和可能为生物衰老与癌症之间的关系提供新的见解,并有助于预测癌症风险,特别是肺癌风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e0/7791618/3ed3207cbd79/pkaa109f1.jpg

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