Air Pollution, Genetic Factors, and the Risk of Lung Cancer: A Prospective Study in the UK Biobank
Both genetic and environmental factors contribute to lung cancer, but the degree to which air pollution modifies the impact of genetic susceptibility on lung cancer remains unknown. To investigate whether air pollution and genetic factors jointly contribute to incident lung cancer. We analyzed data...
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| Veröffentlicht in: | American journal of respiratory and critical care medicine Jg. 204; H. 7; S. 817 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
United States
01.10.2021
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| Schlagworte: | |
| ISSN: | 1535-4970, 1535-4970 |
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| Abstract | Both genetic and environmental factors contribute to lung cancer, but the degree to which air pollution modifies the impact of genetic susceptibility on lung cancer remains unknown.
To investigate whether air pollution and genetic factors jointly contribute to incident lung cancer.
We analyzed data from 455,974 participants (53% women) without previous cancer at baseline in the UK Biobank. The concentrations of particulate matter (PM) (PM ⩽2.5 μm in aerodynamic diameter [PM
], coarse PM between 2.5 μm and 10 μm in aerodynamic diameter [PM
], and PM ⩽10 μm in aerodynamic diameter [PM
]), nitrogen dioxide (NO
), and nitrogen oxides (NO
) were estimated by using land-use regression models, and the association between air pollutants and incident lung cancer was investigated by using a Cox proportional hazard model. Furthermore, we constructed a polygenic risk score and evaluated whether air pollutants modified the effect of genetic susceptibility on the development of lung cancer.
The results showed significant associations between the risk of lung cancer and PM
(hazard ratio [HR], 1.63; 95% confidence interval [CI], 1.33-2.01; per 5 μg/m
), PM
(HR, 1.53; 95% CI, 1.20-1.96; per 10 μg/m
), NO
(HR, 1.10; 95% CI, 1.05-1.15; per 10 μg/m
), and NO
(HR, 1.13; 95% CI, 1.07-1.18; per 20 μg/m
). There were additive interactions between air pollutants and the genetic risk. Compared with participants with low genetic risk and low air pollution exposure, those with high air pollution exposure and high genetic risk had the highest risk of lung cancer (PM
: HR, 1.71; 95% CI, 1.45-2.02; PM
: HR, 1.77; 95% CI, 1.50-2.10; NO
: HR, 1.77; 95% CI, 1.42-2.22; NO
: HR, 1.67; 95% CI, 1.43-1.95).
Long-term exposure to air pollution may increase the risk of lung cancer, especially in those with high genetic risk. |
|---|---|
| AbstractList | Rationale: Both genetic and environmental factors contribute to lung cancer, but the degree to which air pollution modifies the impact of genetic susceptibility on lung cancer remains unknown. Objectives: To investigate whether air pollution and genetic factors jointly contribute to incident lung cancer. Methods: We analyzed data from 455,974 participants (53% women) without previous cancer at baseline in the UK Biobank. The concentrations of particulate matter (PM) (PM ⩽2.5 μm in aerodynamic diameter [PM2.5], coarse PM between 2.5 μm and 10 μm in aerodynamic diameter [PMcoarse], and PM ⩽10 μm in aerodynamic diameter [PM10]), nitrogen dioxide (NO2), and nitrogen oxides (NOx) were estimated by using land-use regression models, and the association between air pollutants and incident lung cancer was investigated by using a Cox proportional hazard model. Furthermore, we constructed a polygenic risk score and evaluated whether air pollutants modified the effect of genetic susceptibility on the development of lung cancer. Measurements and Main Results: The results showed significant associations between the risk of lung cancer and PM2.5 (hazard ratio [HR], 1.63; 95% confidence interval [CI], 1.33-2.01; per 5 μg/m3), PM10 (HR, 1.53; 95% CI, 1.20-1.96; per 10 μg/m3), NO2 (HR, 1.10; 95% CI, 1.05-1.15; per 10 μg/m3), and NOx (HR, 1.13; 95% CI, 1.07-1.18; per 20 μg/m3). There were additive interactions between air pollutants and the genetic risk. Compared with participants with low genetic risk and low air pollution exposure, those with high air pollution exposure and high genetic risk had the highest risk of lung cancer (PM2.5: HR, 1.71; 95% CI, 1.45-2.02; PM10: HR, 1.77; 95% CI, 1.50-2.10; NO2: HR, 1.77; 95% CI, 1.42-2.22; NOx: HR, 1.67; 95% CI, 1.43-1.95). Conclusions: Long-term exposure to air pollution may increase the risk of lung cancer, especially in those with high genetic risk.Rationale: Both genetic and environmental factors contribute to lung cancer, but the degree to which air pollution modifies the impact of genetic susceptibility on lung cancer remains unknown. Objectives: To investigate whether air pollution and genetic factors jointly contribute to incident lung cancer. Methods: We analyzed data from 455,974 participants (53% women) without previous cancer at baseline in the UK Biobank. The concentrations of particulate matter (PM) (PM ⩽2.5 μm in aerodynamic diameter [PM2.5], coarse PM between 2.5 μm and 10 μm in aerodynamic diameter [PMcoarse], and PM ⩽10 μm in aerodynamic diameter [PM10]), nitrogen dioxide (NO2), and nitrogen oxides (NOx) were estimated by using land-use regression models, and the association between air pollutants and incident lung cancer was investigated by using a Cox proportional hazard model. Furthermore, we constructed a polygenic risk score and evaluated whether air pollutants modified the effect of genetic susceptibility on the development of lung cancer. Measurements and Main Results: The results showed significant associations between the risk of lung cancer and PM2.5 (hazard ratio [HR], 1.63; 95% confidence interval [CI], 1.33-2.01; per 5 μg/m3), PM10 (HR, 1.53; 95% CI, 1.20-1.96; per 10 μg/m3), NO2 (HR, 1.10; 95% CI, 1.05-1.15; per 10 μg/m3), and NOx (HR, 1.13; 95% CI, 1.07-1.18; per 20 μg/m3). There were additive interactions between air pollutants and the genetic risk. Compared with participants with low genetic risk and low air pollution exposure, those with high air pollution exposure and high genetic risk had the highest risk of lung cancer (PM2.5: HR, 1.71; 95% CI, 1.45-2.02; PM10: HR, 1.77; 95% CI, 1.50-2.10; NO2: HR, 1.77; 95% CI, 1.42-2.22; NOx: HR, 1.67; 95% CI, 1.43-1.95). Conclusions: Long-term exposure to air pollution may increase the risk of lung cancer, especially in those with high genetic risk. Both genetic and environmental factors contribute to lung cancer, but the degree to which air pollution modifies the impact of genetic susceptibility on lung cancer remains unknown. To investigate whether air pollution and genetic factors jointly contribute to incident lung cancer. We analyzed data from 455,974 participants (53% women) without previous cancer at baseline in the UK Biobank. The concentrations of particulate matter (PM) (PM ⩽2.5 μm in aerodynamic diameter [PM ], coarse PM between 2.5 μm and 10 μm in aerodynamic diameter [PM ], and PM ⩽10 μm in aerodynamic diameter [PM ]), nitrogen dioxide (NO ), and nitrogen oxides (NO ) were estimated by using land-use regression models, and the association between air pollutants and incident lung cancer was investigated by using a Cox proportional hazard model. Furthermore, we constructed a polygenic risk score and evaluated whether air pollutants modified the effect of genetic susceptibility on the development of lung cancer. The results showed significant associations between the risk of lung cancer and PM (hazard ratio [HR], 1.63; 95% confidence interval [CI], 1.33-2.01; per 5 μg/m ), PM (HR, 1.53; 95% CI, 1.20-1.96; per 10 μg/m ), NO (HR, 1.10; 95% CI, 1.05-1.15; per 10 μg/m ), and NO (HR, 1.13; 95% CI, 1.07-1.18; per 20 μg/m ). There were additive interactions between air pollutants and the genetic risk. Compared with participants with low genetic risk and low air pollution exposure, those with high air pollution exposure and high genetic risk had the highest risk of lung cancer (PM : HR, 1.71; 95% CI, 1.45-2.02; PM : HR, 1.77; 95% CI, 1.50-2.10; NO : HR, 1.77; 95% CI, 1.42-2.22; NO : HR, 1.67; 95% CI, 1.43-1.95). Long-term exposure to air pollution may increase the risk of lung cancer, especially in those with high genetic risk. |
| Author | Ji, Mengmeng Chen, Liang Hu, Zhibin Xu, Lin Ma, Hongxia Huang, Yanqian Fan, Jingyi Shen, Hongbing Xu, Jing Jin, Guangfu Zhu, Meng Dai, Juncheng Wang, Yuzhuo Yin, Rong Wei, Xiaoxia Jiang, Xiangxiang Xie, Junxing |
| Author_xml | – sequence: 1 givenname: Yanqian surname: Huang fullname: Huang, Yanqian organization: Department of Epidemiology, Center for Global Health, School of Public Health, and – sequence: 2 givenname: Meng surname: Zhu fullname: Zhu, Meng organization: Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China – sequence: 3 givenname: Mengmeng surname: Ji fullname: Ji, Mengmeng organization: Department of Epidemiology, Center for Global Health, School of Public Health, and – sequence: 4 givenname: Jingyi surname: Fan fullname: Fan, Jingyi organization: Department of Epidemiology, Center for Global Health, School of Public Health, and – sequence: 5 givenname: Junxing surname: Xie fullname: Xie, Junxing organization: Department of Epidemiology, Center for Global Health, School of Public Health, and – sequence: 6 givenname: Xiaoxia surname: Wei fullname: Wei, Xiaoxia organization: Department of Epidemiology, Center for Global Health, School of Public Health, and – sequence: 7 givenname: Xiangxiang surname: Jiang fullname: Jiang, Xiangxiang organization: Department of Epidemiology, Center for Global Health, School of Public Health, and – sequence: 8 givenname: Jing surname: Xu fullname: Xu, Jing organization: Department of Thoracic Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China; and – sequence: 9 givenname: Liang surname: Chen fullname: Chen, Liang organization: Department of Thoracic Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China; and – sequence: 10 givenname: Rong surname: Yin fullname: Yin, Rong organization: Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China – sequence: 11 givenname: Yuzhuo surname: Wang fullname: Wang, Yuzhuo organization: Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China – sequence: 12 givenname: Juncheng surname: Dai fullname: Dai, Juncheng organization: Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China – sequence: 13 givenname: Guangfu surname: Jin fullname: Jin, Guangfu organization: Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China – sequence: 14 givenname: Lin surname: Xu fullname: Xu, Lin organization: Department of Thoracic Surgery, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China – sequence: 15 givenname: Zhibin surname: Hu fullname: Hu, Zhibin organization: Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China – sequence: 16 givenname: Hongxia surname: Ma fullname: Ma, Hongxia organization: Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China – sequence: 17 givenname: Hongbing surname: Shen fullname: Shen, Hongbing organization: Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34252012$$D View this record in MEDLINE/PubMed |
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| Keywords | lung cancer air pollution genetic susceptibility additive interaction |
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| References | 34788204 - Am J Respir Crit Care Med. 2022 Feb 1;205(3):367-368. doi: 10.1164/rccm.202109-2203LE. 34370960 - Am J Respir Crit Care Med. 2021 Oct 1;204(7):752-753. doi: 10.1164/rccm.202107-1576ED. 35465853 - Am J Respir Crit Care Med. 2022 Jun 15;205(12):1487-1489. doi: 10.1164/rccm.202202-0283LE. 35549852 - Am J Respir Crit Care Med. 2022 May 15;205(10):1254. doi: 10.1164/rccm.v205erratum2. 34788195 - Am J Respir Crit Care Med. 2022 Feb 1;205(3):367. doi: 10.1164/rccm.202108-2010LE. 35465852 - Am J Respir Crit Care Med. 2022 Jun 15;205(12):1486-1487. doi: 10.1164/rccm.202112-2681LE. |
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| SubjectTerms | Adult Aged Air Pollutants - analysis Air Pollutants - toxicity Air Pollution - adverse effects Air Pollution - analysis Air Pollution - statistics & numerical data Biological Specimen Banks Environmental Exposure - adverse effects Environmental Exposure - analysis Environmental Exposure - statistics & numerical data Female Follow-Up Studies Gene-Environment Interaction Genetic Predisposition to Disease Humans Lung Neoplasms - epidemiology Lung Neoplasms - etiology Male Middle Aged Nitrogen Oxides - toxicity Particulate Matter - analysis Particulate Matter - toxicity Polymorphism, Single Nucleotide Proportional Hazards Models Prospective Studies Risk Factors United Kingdom - epidemiology |
| Title | Air Pollution, Genetic Factors, and the Risk of Lung Cancer: A Prospective Study in the UK Biobank |
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