Endocrine disrupting chemical mixture exposure and risk of papillary thyroid cancer in U.S. military personnel: A nested case-control study.

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2024-04-20 Epub Date: 2024-02-28 DOI:10.1016/j.scitotenv.2024.171342
Hristina Denic-Roberts, Jordan McAdam, Andreas Sjodin, Mark Davis, Richard Jones, Mary H Ward, Thanh D Hoang, Shuangge Ma, Yawei Zhang, Jennifer A Rusiecki
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引用次数: 0

Abstract

Single-pollutant methods to evaluate associations between endocrine disrupting chemicals (EDCs) and thyroid cancer risk may not reflect realistic human exposures. Therefore, we evaluated associations between exposure to a mixture of 18 EDCs, including polychlorinated biphenyls (PCBs), brominated flame retardants, and organochlorine pesticides, and risk of papillary thyroid cancer (PTC), the most common thyroid cancer histological subtype. We conducted a nested case-control study among U.S. military servicemembers of 652 histologically-confirmed PTC cases diagnosed between 2000 and 2013 and 652 controls, matched on birth year, sex, race/ethnicity, military component (active duty/reserve), and serum sample timing. We estimated mixture odds ratios (OR), 95% confidence intervals (95% CI), and standard errors (SE) for associations between pre-diagnostic serum EDC mixture concentrations, overall PTC risk, and risk of histological subtypes of PTC (classical, follicular), adjusted for body mass index and military branch, using quantile g-computation. Additionally, we identified relative contributions of individual mixture components to PTC risk, represented by positive and negative weights (w). A one-quartile increase in the serum mixture concentration was associated with a non-statistically significant increase in overall PTC risk (OR = 1.19; 95% CI = 0.91, 1.56; SE = 0.14). Stratified by histological subtype and race (White, Black), a one-quartile increase in the mixture was associated with increased classical PTC risk among those of White race (OR = 1.59; 95% CI = 1.06, 2.40; SE = 0.21), but not of Black race (OR = 0.95; 95% CI = 0.34, 2.68; SE = 0.53). PCBs 180, 199, and 118 had the greatest positive weights driving this association among those of White race (w = 0.312, 0.255, and 0.119, respectively). Findings suggest that exposure to an EDC mixture may be associated with increased classical PTC risk. These findings warrant further investigation in other study populations to better understand PTC risk by histological subtype and race.

内分泌干扰化学混合物暴露与美国军人罹患甲状腺乳头状癌的风险:一项巢式病例对照研究。
用单一污染物的方法来评估内分泌干扰化学品(EDCs)与甲状腺癌风险之间的关联可能无法反映真实的人类暴露情况。因此,我们评估了暴露于 18 种 EDCs(包括多氯联苯 (PCB)、溴化阻燃剂和有机氯农药)混合物与甲状腺乳头状癌(PTC)(最常见的甲状腺癌组织学亚型)风险之间的关系。我们在美国军人中开展了一项巢式病例对照研究,研究对象是 2000 年至 2013 年期间确诊的 652 例经组织学证实的 PTC 病例和 652 例对照者,他们的出生年份、性别、种族/民族、军事成分(现役/后备)和血清样本采集时间都是匹配的。我们利用量子 g 计算方法估算了诊断前血清中 EDC 混合物浓度、PTC 总风险和 PTC 组织学亚型(典型、滤泡型)风险之间的混合物几率比 (OR)、95 % 置信区间 (95 % CI) 和标准误差 (SE),并对体重指数和军种进行了调整。此外,我们还确定了各个混合物成分对 PTC 风险的相对贡献,用正负权重 (w) 表示。血清混合物浓度每增加一个四分位数,PTC 的总体风险就会增加,但无统计学意义(OR = 1.19; 95 % CI = 0.91, 1.56; SE = 0.14)。按照组织学亚型和种族(白人、黑人)进行分层,混合物浓度每增加一个四分位数,白人的典型 PTC 风险就会增加(OR = 1.59;95 % CI = 1.06,2.40;SE = 0.21),而黑人则不会增加(OR = 0.95;95 % CI = 0.34,2.68;SE = 0.53)。多氯联苯 180、199 和 118 在白种人中的正权重最大(分别为 0.312、0.255 和 0.119)。研究结果表明,暴露于 EDC 混合物可能与经典的 PTC 风险增加有关。这些发现值得在其他研究人群中进一步调查,以更好地了解组织学亚型和种族的 PTC 风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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