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2003 - 2017年美国大麻、大麻二酚和大麻素在癌症发病率中表现出的地理时空及因果推断流行病学概述与调查:第2部分 - 分类双变量分析及归因分数

Geotemporospatial and causal inferential epidemiological overview and survey of USA cannabis, cannabidiol and cannabinoid genotoxicity expressed in cancer incidence 2003-2017: part 2 - categorical bivariate analysis and attributable fractions.

作者信息

Reece Albert Stuart, Hulse Gary Kenneth

机构信息

Division of Psychiatry, University of Western Australia, Crawley, Western Australia, 6009, Australia.

School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, 6027, Australia.

出版信息

Arch Public Health. 2022 Mar 30;80(1):100. doi: 10.1186/s13690-022-00812-7.

Abstract

BACKGROUND

As the cannabis-cancer relationship remains an important open question epidemiological investigation is warranted to calculate key metrics including Rate Ratios (RR), Attributable Fractions in the Exposed (AFE) and Population Attributable Risks (PAR) to directly compare the implicated case burden between emerging cannabinoids and the established carcinogen tobacco.

METHODS

SEER*Stat software from Centres for Disease Control was used to access age-standardized state census incidence of 28 cancer types (including "All (non-skin) Cancer") from National Cancer Institute in US states 2001-2017. Drug exposures taken from the National Survey of Drug Use and Health 2003-2017, response rate 74.1%. Federal seizure data provided cannabinoid exposure. US Census Bureau furnished income and ethnicity. Exposure dichotomized as highest v. lowest exposure quintiles. Data processed in R.

RESULTS

Nineteen thousand eight hundred seventy-seven age-standardized cancer rates were returned. Based on these rates and state populations this equated to 51,623,922 cancer cases over an aggregated population 2003-2017 of 124,896,418,350. Fifteen cancers displayed elevated E-Values in the highest compared to the lowest quintiles of cannabidiol exposure, namely (in order): prostate, melanoma, Kaposi sarcoma, ovarian, bladder, colorectal, stomach, Hodgkins, esophagus, Non-Hodgkins lymphoma, All cancer, brain, lung, CLL and breast. Eleven cancers were elevated in the highest THC exposure quintile: melanoma, thyroid, liver, AML, ALL, pancreas, myeloma, CML, breast, oropharynx and stomach. Twelve cancers were elevated in the highest tobacco quintile confirming extant knowledge and study methodology. For cannabidiol RR declined from 1.397 (95%C.I. 1.392, 1.402), AFE declined from 28.40% (28.14, 28.66%), PAR declined from 15.3% (15.1, 15.5%) and minimum E-Values declined from 2.13. For THC RR declined from 2.166 (95%C.I. 2.153, 2.180), AFE declined from 53.8% (53.5, 54.1%); PAR declined from 36.1% (35.9, 36.4%) and minimum E-Values declined from 3.72. For tobacco, THC and cannabidiol based on AFE this implies an excess of 93,860, 91,677 and 48,510 cases; based on PAR data imply an excess of 36,450, 55,780 and 14,819 cases.

CONCLUSION

Data implicate 23/28 cancers as being linked with THC or cannabidiol exposure with epidemiologically-causal relationships comparable to those for tobacco. AFE-attributable cases for cannabinoids (91,677 and 48,510) compare with PAR-attributable cases for tobacco (36,450). Cannabinoids constitute an important multivalent community carcinogen.

摘要

背景

由于大麻与癌症的关系仍是一个重要的悬而未决的问题,因此有必要进行流行病学调查,以计算关键指标,包括率比(RR)、暴露人群归因分数(AFE)和人群归因风险(PAR),以便直接比较新兴大麻素与已确定的致癌物烟草之间的相关病例负担。

方法

使用美国疾病控制中心的SEER*Stat软件,获取2001 - 2017年美国各州来自美国国立癌症研究所的28种癌症类型(包括“所有(非皮肤)癌症”)的年龄标准化州人口普查发病率。药物暴露数据取自2003 - 2017年全国药物使用和健康调查,应答率为74.1%。联邦缉获数据提供了大麻素暴露情况。美国人口普查局提供了收入和种族信息。暴露分为最高暴露五分位数与最低暴露五分位数。数据在R语言中进行处理。

结果

返回了19877个年龄标准化癌症发病率。根据这些发病率和各州人口,这相当于在2003 - 2017年总计124896418350的人口中有51623922例癌症病例。与最低大麻二酚暴露五分位数相比,在最高五分位数中,有15种癌症的E值升高,依次为:前列腺癌、黑色素瘤、卡波西肉瘤、卵巢癌、膀胱癌、结直肠癌、胃癌、霍奇金淋巴瘤、食管癌、非霍奇金淋巴瘤、所有癌症、脑癌、肺癌、慢性淋巴细胞白血病和乳腺癌。在最高四氢大麻酚暴露五分位数中有11种癌症升高:黑色素瘤、甲状腺癌、肝癌、急性髓系白血病、急性淋巴细胞白血病、胰腺癌、骨髓瘤、慢性髓系白血病、乳腺癌、口咽癌和胃癌。在最高烟草暴露五分位数中有12种癌症升高,证实了现有知识和研究方法。对于大麻二酚,RR从1.397(95%置信区间1.392, 1.402)下降,AFE从28.40%(28.14, 28.66%)下降,PAR从15.3%(15.1, 15.5%)下降,最小E值从2.13下降。对于四氢大麻酚,RR从2.166(95%置信区间2.153, 2.180)下降,AFE从53.8%(53.5, 54.1%)下降;PAR从36.1%(35.9, 36.4%)下降,最小E值从3.72下降。对于烟草,基于AFE,这意味着分别有93860、91677和48510例超额病例;基于PAR数据,分别意味着有36450、55780和14819例超额病例。

结论

数据表明28种癌症中有23种与四氢大麻酚或大麻二酚暴露有关,其流行病学因果关系与烟草相当。大麻素的AFE归因病例数(91677和48510)与烟草的PAR归因病例数(36450)相当。大麻素构成一种重要的多价群体致癌物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2e3/8969377/a3bb7f374fef/13690_2022_812_Fig1_HTML.jpg

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