Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
The Danish Cancer Society Research Center, Copenhagen, Denmark.
Neuro Oncol. 2018 Feb 19;20(3):420-432. doi: 10.1093/neuonc/nox163.
Epidemiological evidence on the association between ambient air pollution and brain tumor risk is sparse and inconsistent.
In 12 cohorts from 6 European countries, individual estimates of annual mean air pollution levels at the baseline residence were estimated by standardized land-use regression models developed within the ESCAPE and TRANSPHORM projects: particulate matter (PM) ≤2.5, ≤10, and 2.5-10 μm in diameter (PM2.5, PM10, and PMcoarse), PM2.5 absorbance, nitrogen oxides (NO2 and NOx) and elemental composition of PM. We estimated cohort-specific associations of air pollutant concentrations and traffic intensity with total, malignant, and nonmalignant brain tumor, in separate Cox regression models, adjusting for risk factors, and pooled cohort-specific estimates using random-effects meta-analyses.
Of 282194 subjects from 12 cohorts, 466 developed malignant brain tumors during 12 years of follow-up. Six of the cohorts also had data on nonmalignant brain tumor, where among 106786 subjects, 366 developed brain tumor: 176 nonmalignant and 190 malignant. We found a positive, statistically nonsignificant association between malignant brain tumor and PM2.5 absorbance (hazard ratio and 95% CI: 1.67; 0.89-3.14 per 10-5/m3), and weak positive or null associations with the other pollutants. Hazard ratio for PM2.5 absorbance (1.01; 0.38-2.71 per 10-5/m3) and all other pollutants were lower for nonmalignant than for malignant brain tumors.
We found suggestive evidence of an association between long-term exposure to PM2.5 absorbance indicating traffic-related air pollution and malignant brain tumors, and no association with overall or nonmalignant brain tumors.
有关环境空气污染与脑瘤风险之间关联的流行病学证据稀少且不一致。
在来自 6 个欧洲国家的 12 个队列中,通过 ESCAPE 和 TRANSPHORM 项目中开发的标准化土地利用回归模型,估算了基线居住点处每年平均空气污染水平的个体估计值:粒径≤2.5μm、≤10μm 和 2.5-10μm(PM2.5、PM10 和 PMcoarse)、PM2.5 吸光度、氮氧化物(NO2 和 NOx)以及 PM 的元素组成。我们在单独的 Cox 回归模型中估计了空气污染物浓度和交通强度与总、恶性和非恶性脑瘤的队列特异性关联,调整了风险因素,并使用随机效应荟萃分析汇总了队列特异性估计值。
在来自 12 个队列的 282194 名受试者中,有 466 人在 12 年的随访期间患上了恶性脑瘤。其中 6 个队列也有非恶性脑瘤的数据,在 106786 名受试者中,有 366 人患上了脑瘤:176 人非恶性,190 人恶性。我们发现恶性脑瘤与 PM2.5 吸光度之间存在正相关,但统计学上无显著性(危险比和 95%CI:每增加 10-5/m3,为 1.67;0.89-3.14),与其他污染物之间存在微弱的正相关或无相关性。PM2.5 吸光度(每增加 10-5/m3,为 1.01;0.38-2.71)和其他所有污染物的危险比均低于非恶性脑瘤。
我们发现有证据表明,长期暴露于指示交通相关空气污染的 PM2.5 吸光度与恶性脑瘤之间存在关联,而与总体或非恶性脑瘤之间无关联。