Literature DB >> 31078178

Estimates of the current and future burden of lung cancer attributable to PM2.5 in Canada.

Priyanka Gogna1, Tasha A Narain1, Dylan E O'Sullivan1, Paul J Villeneuve2, Paul A Demers3, Perry Hystad4, Darren R Brenner5, Christine M Friedenreich5, Will D King6.   

Abstract

The International Agency for Research on Cancer has classified PM2.5 (fine particulate matter, PM2.5) as a lung cancer carcinogen in humans. We estimated the proportion of lung cancer cases attributable to PM2.5 exposure in Canada in 2015, and future avoidable cancers over the period 2016-2042 under different future exposure scenarios. A meta-analysis was conducted to estimate the relative risk of lung cancer associated with PM2.5 that was generalizable to Canada. A population-weighted Canadian distribution of residential PM2.5 exposure was estimated annually using ecological-level, satellite-derived PM2.5 data for the period 1990 to 2009. Population attributable risks (PAR) were estimated for PM2.5 and applied to lung cancer incidence from the Canadian Cancer Registry. Potential impact fractions based on counterfactual scenarios for the year 2042 were estimated, along with cumulative preventable cases from 2016 to 2042. The relative risk of lung cancer associated with PM2.5 was 1.09 (95% CI: 1.06-1.12) per an increase of 10 μg/m3. The average population-weighted exposure to PM2.5 corresponding to a 20-year exposure window from 1990 to 2009 was 8.3 μg/m3. The PAR for PM2.5 was estimated at 6.9%, accounting for 1739 attributable lung cancer cases in 2015. If patterns of decline in PM2.5 continue, over 3000 lung cancer cases could be prevented between 2016 and 2042. Exposure to PM2.5 contributes to a considerable burden of lung cancer in Canada and policies aimed at sustaining outdoor PM2.5 declines are important for lung cancer prevention in Canada.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Air pollution; Cancer; PM(2.5); Population attributable risk; Potential impact fraction; Prevention

Mesh:

Substances:

Year:  2019        PMID: 31078178     DOI: 10.1016/j.ypmed.2019.03.010

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  4 in total

1.  Thermogravimetric analysis of soot combustion in the presence of ash and soluble organic fraction.

Authors:  Qian Zhang; Jia Fang; Zhongwei Meng; Chen Chen; Zihan Qin
Journal:  RSC Adv       Date:  2020-09-10       Impact factor: 4.036

2.  Simulation study on the validity of the average risk approach in estimating population attributable fractions for continuous exposures.

Authors:  Yibing Ruan; Stephen D Walter; Priyanka Gogna; Christine M Friedenreich; Darren R Brenner
Journal:  BMJ Open       Date:  2021-07-01       Impact factor: 2.692

3.  Lipid metabolism gene-wide profile and survival signature of lung adenocarcinoma.

Authors:  Jinyou Li; Qiang Li; Zhenyu Su; Qi Sun; Yong Zhao; Tienan Feng; Jiayuan Jiang; Feng Zhang; Haitao Ma
Journal:  Lipids Health Dis       Date:  2020-10-13       Impact factor: 3.876

4.  Using Multisource Data to Assess PM2.5 Exposure and Spatial Analysis of Lung Cancer in Guangzhou, China.

Authors:  Wenfeng Fan; Linyu Xu; Hanzhong Zheng
Journal:  Int J Environ Res Public Health       Date:  2022-02-24       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.