Craver Andrew, Luo Jiajun, Kibriya Muhammad G, Randorf Nina, Bahl Kendall, Connellan Elizabeth, Powell Johnny, Zakin Paul, Jones Rena R, Argos Maria, Ho Joyce, Kim Karen, Daviglus Martha L, Greenland Philip, Ahsan Habibul, Aschebrook-Kilfoy Briseis
Institute for Population and Precision Health, University of Chicago, Chicago, IL, USA.
Department of Public Health Sciences, University of Chicago, Chicago, IL, USA.
Cancer Causes Control. 2024 May;35(5):749-760. doi: 10.1007/s10552-023-01823-7. Epub 2023 Dec 25.
The NIH All of Us Research Program has enrolled over 544,000 participants across the US with unprecedented racial/ethnic diversity, offering opportunities to investigate myriad exposures and diseases. This paper aims to investigate the association between PM exposure and cancer risks.
This work was performed on data from 409,876 All of Us Research Program participants using the All of Us Researcher Workbench. Cancer case ascertainment was performed using data from electronic health records and the self-reported Personal Medical History questionnaire. PM exposure was retrieved from NASA's Earth Observing System Data and Information Center and assigned using participants' 3-digit zip code prefixes. Multivariate logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (CI). Generalized additive models (GAMs) were used to investigate non-linear relationships.
A total of 33,387 participants and 46,176 prevalent cancer cases were ascertained from participant EHR data, while 20,297 cases were ascertained from self-reported survey data from 18,133 participants; 9,502 cancer cases were captured in both the EHR and survey data. Average PM level from 2007 to 2016 was 8.90 μg/m (min 2.56, max 15.05). In analysis of cancer cases from EHR, an increased odds for breast cancer (OR 1.17, 95% CI 1.09-1.25), endometrial cancer (OR 1.33, 95% CI 1.09-1.62) and ovarian cancer (OR 1.20, 95% CI 1.01-1.42) in the 4th quartile of exposure compared to the 1st. In GAM, higher PM concentration was associated with increased odds for blood cancer, bone cancer, brain cancer, breast cancer, colon and rectum cancer, endocrine system cancer, lung cancer, pancreatic cancer, prostate cancer, and thyroid cancer.
We found evidence of an association of PM with breast, ovarian, and endometrial cancers. There is little to no prior evidence in the literature on the impact of PM on risk of these cancers, warranting further investigation.
美国国立卫生研究院(NIH)的“我们所有人”研究项目已在美国招募了超过54.4万名参与者,其种族/族裔多样性史无前例,为研究无数暴露因素和疾病提供了机会。本文旨在研究颗粒物(PM)暴露与癌症风险之间的关联。
本研究使用“我们所有人”研究人员工作平台,对来自409,876名“我们所有人”研究项目参与者的数据进行分析。癌症病例的确定采用电子健康记录数据和自我报告的个人病史问卷数据。PM暴露数据从美国国家航空航天局(NASA)的地球观测系统数据和信息中心获取,并根据参与者的3位邮政编码前缀进行赋值。采用多因素逻辑回归来估计比值比(OR)和95%置信区间(CI)。使用广义相加模型(GAM)来研究非线性关系。
从参与者的电子健康记录数据中确定了33,387名参与者和46,176例现患癌症病例,同时从18,133名参与者的自我报告调查数据中确定了20,297例病例;在电子健康记录和调查数据中均捕获到9,502例癌症病例。2007年至2016年的平均PM水平为8.90μg/m³(最小值2.56,最大值15.05)。在对电子健康记录中的癌症病例分析中,暴露处于第4四分位数的人群患乳腺癌(OR 1.17,95% CI 1.09 - 1.25)、子宫内膜癌(OR 1.33,95% CI 1.09 - 1.62)和卵巢癌(OR 1.20,95% CI 1.01 - 1.42)的比值比相较于第1四分位数有所增加。在GAM分析中,较高的PM浓度与血癌、骨癌、脑癌、乳腺癌、结肠直肠癌、内分泌系统癌、肺癌、胰腺癌、前列腺癌和甲状腺癌的发病几率增加有关。
我们发现了PM与乳腺癌、卵巢癌和子宫内膜癌之间存在关联的证据。此前文献中几乎没有关于PM对这些癌症风险影响的证据,因此有必要进一步研究。