A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancer
Background: Fine particulate matter (PM2.5) is suspected to increase the risk of colorectal cancer, but the mechanism remains unknown. We aimed to investigate the association between PM2.5 exposure, genetic variants and colorectal cancer risk in the Prostate, Lung, Colon and Ovarian (PLCO) Cancer Sc...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-02-01
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| Series: | Environment International |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0160412020322649 |
| _version_ | 1819054957750386688 |
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| author | Haiyan Chu Junyi Xin Qi Yuan Yanling Wu Mulong Du Rui Zheng Hanting Liu Shaowei Wu Zhengdong Zhang Meilin Wang |
| author_facet | Haiyan Chu Junyi Xin Qi Yuan Yanling Wu Mulong Du Rui Zheng Hanting Liu Shaowei Wu Zhengdong Zhang Meilin Wang |
| author_sort | Haiyan Chu |
| collection | DOAJ |
| description | Background: Fine particulate matter (PM2.5) is suspected to increase the risk of colorectal cancer, but the mechanism remains unknown. We aimed to investigate the association between PM2.5 exposure, genetic variants and colorectal cancer risk in the Prostate, Lung, Colon and Ovarian (PLCO) Cancer Screening trial. Methods: We included a prospective cohort of 139,534 cancer-free individuals from 10 United States research centers with over ten years of follow-up. We used a Cox regression model to assess the association between PM2.5 exposure and colorectal cancer incidence by calculating the hazard ratio (HR) and 95% confidence interval (CI) with adjustment for potential confounders. The polygenic risk score (PRS) and genome-wide interaction analysis (GWIA) were used to evaluate the multiplicative interaction between PM2.5 exposure and genetic variants in regard to colorectal cancer risk. Results: After a median of 10.43 years of follow-up, 1,666 participants had been diagnosed with colorectal cancer. PM2.5 exposure was significantly associated with an increased risk of colorectal cancer (HR = 1.27; 95% CI = 1.17–1.37 per 5 μg/m3 increase). Five independent susceptibility loci reached statistical significance at P < 1.22 × 10−8 in the interaction analysis. Furthermore, a joint interaction was observed between PM2.5 exposure and the PRS based on these five loci with colorectal cancer risk (P = 3.11 × 10−29). The Gene Ontology analysis showed that the vascular endothelial growth factor (VEGF) receptor signaling pathway was involved in the biological process of colorectal cancer. Conclusions: Our large-scale analysis has shown for the first time that long-term PM2.5 exposure potential increases colorectal cancer risk, which might be modified by genetic variants. |
| first_indexed | 2024-12-21T12:59:53Z |
| format | Article |
| id | doaj.art-3dabaab72e8e4100a1777b03409c6ff6 |
| institution | Directory Open Access Journal |
| issn | 0160-4120 |
| language | English |
| last_indexed | 2024-12-21T12:59:53Z |
| publishDate | 2021-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Environment International |
| spelling | doaj.art-3dabaab72e8e4100a1777b03409c6ff62022-12-21T19:03:13ZengElsevierEnvironment International0160-41202021-02-01147106309A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancerHaiyan Chu0Junyi Xin1Qi Yuan2Yanling Wu3Mulong Du4Rui Zheng5Hanting Liu6Shaowei Wu7Zhengdong Zhang8Meilin Wang9Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, ChinaDepartment of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, ChinaDepartment of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, ChinaDepartment of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, ChinaDepartment of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, ChinaDepartment of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, ChinaDepartment of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, ChinaDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, ChinaDepartment of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Corresponding authors at: Department of Environmental Genomics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue Jiangning District, Nanjing 211166, China.Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China; Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Corresponding authors at: Department of Environmental Genomics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue Jiangning District, Nanjing 211166, China.Background: Fine particulate matter (PM2.5) is suspected to increase the risk of colorectal cancer, but the mechanism remains unknown. We aimed to investigate the association between PM2.5 exposure, genetic variants and colorectal cancer risk in the Prostate, Lung, Colon and Ovarian (PLCO) Cancer Screening trial. Methods: We included a prospective cohort of 139,534 cancer-free individuals from 10 United States research centers with over ten years of follow-up. We used a Cox regression model to assess the association between PM2.5 exposure and colorectal cancer incidence by calculating the hazard ratio (HR) and 95% confidence interval (CI) with adjustment for potential confounders. The polygenic risk score (PRS) and genome-wide interaction analysis (GWIA) were used to evaluate the multiplicative interaction between PM2.5 exposure and genetic variants in regard to colorectal cancer risk. Results: After a median of 10.43 years of follow-up, 1,666 participants had been diagnosed with colorectal cancer. PM2.5 exposure was significantly associated with an increased risk of colorectal cancer (HR = 1.27; 95% CI = 1.17–1.37 per 5 μg/m3 increase). Five independent susceptibility loci reached statistical significance at P < 1.22 × 10−8 in the interaction analysis. Furthermore, a joint interaction was observed between PM2.5 exposure and the PRS based on these five loci with colorectal cancer risk (P = 3.11 × 10−29). The Gene Ontology analysis showed that the vascular endothelial growth factor (VEGF) receptor signaling pathway was involved in the biological process of colorectal cancer. Conclusions: Our large-scale analysis has shown for the first time that long-term PM2.5 exposure potential increases colorectal cancer risk, which might be modified by genetic variants.http://www.sciencedirect.com/science/article/pii/S0160412020322649PM2.5Genetic variantsColorectal cancerInteraction |
| spellingShingle | Haiyan Chu Junyi Xin Qi Yuan Yanling Wu Mulong Du Rui Zheng Hanting Liu Shaowei Wu Zhengdong Zhang Meilin Wang A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancer Environment International PM2.5 Genetic variants Colorectal cancer Interaction |
| title | A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancer |
| title_full | A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancer |
| title_fullStr | A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancer |
| title_full_unstemmed | A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancer |
| title_short | A prospective study of the associations among fine particulate matter, genetic variants, and the risk of colorectal cancer |
| title_sort | prospective study of the associations among fine particulate matter genetic variants and the risk of colorectal cancer |
| topic | PM2.5 Genetic variants Colorectal cancer Interaction |
| url | http://www.sciencedirect.com/science/article/pii/S0160412020322649 |
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