2003-2017 年美国女性乳腺癌风险因素之大麻和其他药物的地理时空和因果推论研究。

IF 4.8 Q1 GENETICS & HEREDITY
Environmental Epigenetics Pub Date : 2022-03-01 eCollection Date: 2022-01-01 DOI:10.1093/eep/dvac006
Albert Stuart Reece, Gary Kenneth Hulse
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引用次数: 0

摘要

乳腺癌(BC)是人类最常见的癌症,其发病率(BC 发病率,BCI)在全球呈上升趋势。虽然烟草和酒精都与 BCI 有关,但基因毒性大麻素尚未得到调查。2003-2017 年各州基于年龄调整的 BCI 数据来自美国疾病控制中心的监测流行病学和最终结果数据库。药物使用情况来自全国药物使用和健康调查,回复率为 74.1%。年龄中位数、家庭收入中位数和种族来自美国人口普查。在双变量分析中,BCI 与大麻暴露量的上升有显著关系 {β-est. = 3.93 [95% 置信区间 2.99, 4.87],P = 1.10 × 10-15} 。香烟:大麻[β-est. = 2660 (2150.4, 3169.3),P = 4.60 × 10-22]和大麻:酗酒[β-est. = 7010 (5461.6, 8558.4),P = 1.80 × 10-17]在ipw-panel回归中具有显著性。包括大麻二酚(CBD;β-est. = 16.16 (0.39, 31.93),P = 0.446)和大麻酚(CBG;β-est. = 6.23 (2.06, 10.39),P = 0.0034)在内的项分别在滞后 1 年和 2 年的时空模型中显著。大麻自由主义范式的 BCI 更高[67.50 ± 0.26 v. 65.19 ± 0.21/100 000(平均值 ± SEM),P = 1.87 × 10-11;β-est. = 2.31 (1.65, 2.96),P = 9.09 × 10-12]。55/58的预期值大于1.25,13/58大于100。在时空模型中,流产具有独立的因果关系。数据显示,接触大麻和大麻素Δ9-四氢大麻酚、CBD、CBG 和酗酒符合跨时空 BCI 的量化因果标准。对年龄和一些已知的社会人口、社会经济和荷尔蒙风险因素进行调整后,研究结果是稳健的,并将大麻素确定为乳腺癌发生的另一个风险因素类别。在大麻自由法律范式下,乳腺癌发病率较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geospatiotemporal and causal inference study of cannabis and other drugs as risk factors for female breast cancer USA 2003-2017.

Breast cancer (BC) is the commonest human cancer and its incidence (BC incidence, BCI) is rising worldwide. Whilst both tobacco and alcohol have been linked to BCI genotoxic cannabinoids have not been investigated. Age-adjusted state-based BCI 2003-2017 was taken from the Surveillance Epidemiology and End Results database of the Centers for Disease Control. Drug use from the National Survey of Drug Use and Health, response rate 74.1%. Median age, median household income and ethnicity were from US census. Inverse probability weighted (ipw) multivariable regression conducted in R. In bivariate analysis BCI was shown to be significantly linked with rising cannabis exposure {β-est. = 3.93 [95% confidence interval 2.99, 4.87], P = 1.10 × 10-15}. At 8 years lag cigarettes:cannabis [β-est. = 2660 (2150.4, 3169.3), P = 4.60 × 10-22] and cannabis:alcoholism [β-est. = 7010 (5461.6, 8558.4), P = 1.80 × 10-17] were significant in ipw-panel regression. Terms including cannabidiol [CBD; β-est. = 16.16 (0.39, 31.93), P = 0.446] and cannabigerol [CBG; β-est. = 6.23 (2.06, 10.39), P = 0.0034] were significant in spatiotemporal models lagged 1:2 years, respectively. Cannabis-liberal paradigms had higher BCI [67.50 ± 0.26 v. 65.19 ± 0.21/100 000 (mean ± SEM), P = 1.87 × 10-11; β-est. = 2.31 (1.65, 2.96), P = 9.09 × 10-12]. 55/58 expected values >1.25 and 13/58 >100. Abortion was independently and causally significant in space-time models. Data show that exposure to cannabis and the cannabinoids Δ9-tetrahydrocannabinol, CBD, CBG and alcoholism fulfil quantitative causal criteria for BCI across space and time. Findings are robust to adjustment for age and several known sociodemographic, socio-economic and hormonal risk factors and establish cannabinoids as an additional risk factor class for breast carcinogenesis. BCI is higher under cannabis-liberal legal paradigms.

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Environmental Epigenetics
Environmental Epigenetics GENETICS & HEREDITY-
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