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洛杉矶盆地(2013-2018 年)中社区空气污染暴露对非小细胞肺癌体细胞突变的作用。

The Role of Neighborhood Air Pollution Exposure on Somatic Non-Small Cell Lung Cancer Mutations in the Los Angeles Basin (2013-2018).

机构信息

Scripps Institution of Oceanography, University of California San Diego, La Jolla, San Diego, CA 92093, USA.

Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA.

出版信息

Int J Environ Res Public Health. 2022 Sep 3;19(17):11027. doi: 10.3390/ijerph191711027.

Abstract

Limited previous work has identified a relationship between exposure to ambient air pollution and aggressive somatic lung tumor mutations. More work is needed to confirm this relationship, especially using spatially resolved air pollution. We aimed to quantify the association between different air pollution metrics and aggressive tumor biology. Among patients treated at City of Hope Comprehensive Cancer Center in Duarte, CA (2013-2018), three non-small cell lung cancer somatic tumor mutations, , , and /, were documented. PM exposure was assessed using state-of-the art ensemble models five and ten years before lung cancer diagnosis. We also explored the role of NO using inverse-distance-weighting approaches. We fitted logistic regression models to estimate odds ratio (OR) and their 95% confidence intervals (CIs). Among 435 participants (median age: 67, female: 51%), an IQR increase in NO exposure (3.5 μg/m) five years before cancer diagnosis was associated with an increased risk in mutation (OR, 95% CI: 1.30, 0.99-1.71). We found an association between highly-exposed participants to PM (>12 μg/m) five and ten years before cancer diagnosis and mutation (OR, 95% CI: 1.61, 0.95-2.73; 1.57, 0.93-2.64, respectively). Future studies are needed to confirm this association and better understand how air pollution impacts somatic profiles and the molecular mechanisms through which they operate.

摘要

先前的有限研究已经确定了暴露于环境空气污染与侵袭性体肺肿瘤突变之间的关系。需要更多的工作来证实这种关系,特别是使用空间分辨的空气污染。我们旨在量化不同空气污染指标与侵袭性肿瘤生物学之间的关联。在加利福尼亚州达利市希望之城综合癌症中心治疗的患者中(2013-2018 年),记录了三种非小细胞肺癌体细胞肿瘤突变、、和/。使用先进的集合模型评估 PM 暴露情况,时间分别为肺癌诊断前五年和十年。我们还探索了使用逆距离加权方法的 NO 的作用。我们拟合逻辑回归模型来估计比值比(OR)及其 95%置信区间(CI)。在 435 名参与者(中位数年龄:67 岁,女性:51%)中,在癌症诊断前五年,NO 暴露(3.5μg/m)的一个 IQR 增加与突变的风险增加相关(OR,95%CI:1.30,0.99-1.71)。我们发现,在癌症诊断前五年和十年,高度暴露于 PM(>12μg/m)的参与者与突变之间存在关联(OR,95%CI:1.61,0.95-2.73;1.57,0.93-2.64)。需要进一步的研究来证实这种关联,并更好地了解空气污染如何影响体细胞特征以及它们运作的分子机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21b0/9518136/d0e2d584df0f/ijerph-19-11027-g001.jpg

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