Effect of Long-Term Fine Particulate Matter Exposure on Lung Cancer Incidence and Mortality in Chinese Nonsmokers

Meng Zhu(International Network for Cancer Treatment and Research), Yuting Han(Peking University), Yuanlin Mou(Center for Global Health), Xia Meng(Fudan University), Ji Chen(Center for Global Health), Xia Zhu(Center for Global Health), Canqing Yu(Peking University), Dianjianyi Sun(Peking University), Ling Yang(University of Oxford), Qiufen Sun(Center for Global Health), Yiping Chen(University of Oxford), Huaidong Du(University of Oxford), Juncheng Dai(International Network for Cancer Treatment and Research), Zhengming Chen(University of Oxford), Zhibin Hu(International Network for Cancer Treatment and Research), Jun Lv(Ministry of Education of the People's Republic of China), Guangfu Jin(International Network for Cancer Treatment and Research), Hongxia Ma(International Network for Cancer Treatment and Research), Haidong Kan(Fudan University), Liming Li(Peking University), Hongbing Shen(International Network for Cancer Treatment and Research)
American Journal of Respiratory and Critical Care Medicine
February 7, 2025
Cited by 15Open Access
Full Text

Abstract

Abstract Rationale The association between fine particulate matter (particulate matter ⩽2.5 μm in aerodynamic diameter, PM2.5) and lung cancer incidence in nonsmokers (LCINS) remains inconsistent. Objectives To investigate the association between long-term PM2.5 exposure and LCINS in a Chinese population and to assess the modifying effect of genetic factors. Methods Time-dependent Cox proportional hazard models were used to evaluate the hazard ratios (HRs) and 95% confidence intervals (CIs) of PM2.5 with LCINS risk and LCINS-related mortality. The polygenic risk score was constructed to further explore the interactions between genetic risk and PM2.5 exposure. In addition, the population attributable fraction of PM2.5 to lung cancer risk and mortality was calculated. Measurements and Main Results The results demonstrated significant associations between PM2.5 exposure and LCINS incidence (HR, 1.10 per 10 μg/m3; 95% CI, 1.04–1.17 per 10 μg/m3) and mortality (HR, 1.17 per 10 μg/m3; 95% CI, 1.08–1.27 per 10 μg/m3). Compared with the lowest-risk group, individuals exposed to the high PM2.5 concentration (⩾50.9 μg/m3) and high genetic risk (top 30%) exhibited the highest LCINS incidence (HR, 2.01; 95% CI, 1.39–2.87) and mortality (HR, 2.30; 95% CI, 1.38–3.82). A significant additive interaction between PM2.5 and genetic risk on LCINS incidence was observed. Approximately 33.6% of LCINS cases and 48.5% of LCINS-related deaths in China could be prevented if PM2.5 concentrations were reduced to meet World Health Organization guidelines. Conclusions Long-term exposure to outdoor PM2.5 increases LCINS risk and LCINS-related mortality, especially in populations with high genetic risk. Strengthening air pollution control measures in China has the potential to significantly reduce the burden of LCINS.


Related Papers

No related papers found

Powered by citation graph analysis