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Zhang Y, Meliefste K, Hu W, Li J, Xu J, Ning B, Yang K, Chen Y, Liu D, Wong J, Rahman M, Rothman N, Huang Y, Cassee F, Vermeulen R, Lan Q, Downward GS. Household air pollution from, and fuel efficiency of, different coal types following local cooking practices in Xuanwei, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 290:117949. [PMID: 34438166 DOI: 10.1016/j.envpol.2021.117949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 07/30/2021] [Accepted: 08/10/2021] [Indexed: 06/13/2023]
Abstract
The domestic combustion of smoky (bituminous) coal in the Chinese counties of Xuanwei and Fuyuan, are responsible for some of the highest rates of lung cancer in the world. Cancer rates vary between coal producing regions (deposits) in the area, with coals from Laibin exhibiting particularly high risks and smokeless (anthracite) coal exhibiting lower risks. However, little information is available on the specific burning characteristics of coals from throughout the area. We conducted an extensive controlled burning experiment using coal from multiple deposits in either a traditional firepit or ventilated stove, accompanied by a detailed examination of time-weighted and real-time size-aggregated particle concentrations. Smoky coal caused higher particle concentrations of all sizes than smokeless coal, with variations observed by geological source. Virtually all particle emissions were in the PM2.5 fraction (98% - mass based), and 75% and 46% were in the PM1 and PM0.3 fraction respectively. Real-time concentrations of PM1 and PM0.1 peaked after coal was added and declined afterwards. Ventilation reduced particle concentrations by up to 15-fold and increased the coal burning rate by 1.9-fold. These findings may provide valuable insight for reducing exposure and adverse health effects associated with domestic coal combustion.
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Affiliation(s)
- Yongliang Zhang
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands.
| | - Kees Meliefste
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands
| | - Wei Hu
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Jihua Li
- Xuanwei Center of Disease Control, No.6, Longbao Rd, Xuanwei, Qujing, Yunnan, 655400, PR China
| | - Jun Xu
- Department of Community Medicine, School of Public Health, The University of Hongkong, Hong Kong
| | - Baofu Ning
- Xuanwei Center of Disease Control, No.6, Longbao Rd, Xuanwei, Qujing, Yunnan, 655400, PR China
| | - Kaiyun Yang
- Department of Thoracic Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, 650118, PR China
| | - Ying Chen
- Department of Thoracic Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, 650118, PR China
| | - Dingyu Liu
- National Institute for Public Health and the Environment (RIVM), the Netherlands
| | - Jason Wong
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mohammad Rahman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Yunchao Huang
- Department of Thoracic Surgery I, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, 650118, PR China
| | - Flemming Cassee
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands; National Institute for Public Health and the Environment (RIVM), the Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - George S Downward
- Institute for Risk Assessment Sciences, Utrecht University, the Netherlands; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
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Association of cancer screening and residing in a coal-polluted East Asian region with overall survival of lung cancer patients: a retrospective cohort study. Sci Rep 2020; 10:17432. [PMID: 33060705 PMCID: PMC7566617 DOI: 10.1038/s41598-020-74082-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2020] [Accepted: 09/23/2020] [Indexed: 11/08/2022] Open
Abstract
Lung cancer is the leading cause of cancer death worldwide. The Xuanwei-Fuyuan (XF) region of Yunnan, China has a high incidence of lung cancer from coal-related pollution. Effort to raise public awareness screening for lung cancer has been ongoing. We retrospectively analyzed overall survival (OS) of lung cancer patients of a tertiary cancer center in Yunnan to investigate screening and regional residential status as predictive factors. Consecutive cases of newly diagnosed lung cancer were reviewed. The lung cancer cases diagnosed by screening were more likely to be early-staged and treated by surgery than those diagnosed not by screening. In patients diagnosed not by screening, XF residential status was a significant predictor of improved OS. Frailty model detected significant heterogeneity associated with region of residence in unscreened patients. Potential biases associated with screening were examined by Monte Carlo simulations and sensitivity analyses. Focused effort in cancer screening and increased public awareness of pollution-related lung cancer in XF might have led to early diagnosis and improved OS, and increased investment in health care resources in high risk areas may have produced additional unobserved factors that underlay the association of XF residential status with improved OS in patients diagnosed not by screening.
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Li R, Liu Y, Wang T, Tang J, Xie L, Yao Z, Li K, Liao Y, Zhou L, Geng Z, Huang Z, Yang Z, Han L. The characteristics of lung cancer in Xuanwei County: A review of differentially expressed genes and noncoding RNAs on cell proliferation and migration. Biomed Pharmacother 2019; 119:109312. [PMID: 31518876 DOI: 10.1016/j.biopha.2019.109312] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2019] [Revised: 07/27/2019] [Accepted: 07/31/2019] [Indexed: 12/15/2022] Open
Abstract
The occurrence of lung cancers is the highest in Xuanwei County, Yunnan province, China, especially among nonsmoking women. Domestic combustion of smoky coal induces serious indoor air pollution and is considered to be the main cause of human lung cancers. The occurrence of lung cancer in Xuanwei County has unique characteristics, such as the high morbidity in nonsmoking women or people with no family history. In the present review, we summarize advances in identification of differentially expressed genes, regulatory lncRNAs and miRNAs in cell proliferation and migration of lung cancers in Xuanwei County. Moreover, several regulatory differentially expressed genes (DEGs) or noncoding RNAs have diagnostic and prognostic significance for lung cancers in Xuanwei County and have the potential to serve as biomarkers.
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Affiliation(s)
- Rong Li
- Department of Medical Oncology, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Yan Liu
- Bone and Soft Tissue Tumors Research Center of Yunnan Province, Department of Orthopaedics, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Tiying Wang
- Bone and Soft Tissue Tumors Research Center of Yunnan Province, Department of Orthopaedics, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Jiadai Tang
- Department of Medical Oncology, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Lin Xie
- Department of Medical Oncology, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China.
| | - Zhihong Yao
- Bone and Soft Tissue Tumors Research Center of Yunnan Province, Department of Orthopaedics, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Kechen Li
- Bone and Soft Tissue Tumors Research Center of Yunnan Province, Department of Orthopaedics, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Yedan Liao
- Department of Medical Oncology, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Ling Zhou
- Bone and Soft Tissue Tumors Research Center of Yunnan Province, Department of Orthopaedics, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Zhenqin Geng
- Department of Medical Oncology, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
| | - Zeyong Huang
- Medical School, Kunming University of Science and Technology, Kunming, Yunnan, 650504, China
| | - Zuozhang Yang
- Bone and Soft Tissue Tumors Research Center of Yunnan Province, Department of Orthopaedics, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China.
| | - Lei Han
- Bone and Soft Tissue Tumors Research Center of Yunnan Province, Department of Orthopaedics, The Third Affiliated Hospital of Kunming Medical University (Cancer Hospital of Yunnan Province), Kunming, Yunnan, 650118, China
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Li J, Guo W, Ran J, Tang R, Lin H, Chen X, Ning B, Li J, Zhou Y, Chen LC, Tian L, Huang Y. Five-year lung cancer mortality risk analysis and topography in Xuan Wei: a spatiotemporal correlation analysis. BMC Public Health 2019; 19:173. [PMID: 30744631 PMCID: PMC6371498 DOI: 10.1186/s12889-019-6490-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2018] [Accepted: 01/29/2019] [Indexed: 11/10/2022] Open
Abstract
Background In Xuan Wei, China, the lung cancer mortality rate is rising significantly more than that of the nation overall. However, it remains unclear 1) if improved diagnosis can just partially explain this observation and how other local risk factors may be correlated with the lung cancer mortality rate and 2) how the lung cancer mortality rates differ within Xuan Wei and how these spatiotemporal patterns are linked with local risk factors. To increase etiological knowledge, this study evaluated the spatial and temporal distributions of the health effects (the lung cancer mortality rates) from 2011 to 2015. Methods Four steps of spatial analysis were applied, as follows: 1) hotspot analysis to determine the geographical patterns of lung cancer mortality, 2) spatially-weighted sum to identify areas with higher health risks, 3) bivariate statistical analysis to assess the overall correlation between coal mines and lung cancer mortality, and 4) geographically-weighted regression to test for correlations among different towns within Xuan Wei. Results Women had higher lung cancer mortality rates than those in men, with an increasing trend in both sexes over time. The incidence rates in Laibin Town were the highest in Xuan Wei every year. Over the 5-year study period, the lung cancer mortality was increasingly concentrated in Laibin, Shuanglong, and Longchang, where the smoky coal mines are most concentrated. The population-level health risks from the coal mine in Xuan Wei were mapped and divided into five types of risk areas (Type I – Type IV). Correlation analysis revealed that there was no significant correlation between lung cancer mortality as a whole and coal mine distribution during the 5-year study period. However, the geographically-weighted regression revealed a stronger correlation in medium (Type III) and second-lowest (Type IV) health risks. Conclusions Xuan Wei lung cancer mortality has increased continuously since the third national retrospective surveys on the causes of death by the Ministry of Health of the People’s Republic of China (2004–2005), especially for local women and residents over 35 years of age. Geographically, lung cancer in Xuan Wei showed unique spatiotemporal clustering. The local lung cancer mortality was significantly correlated with the smoky coal mine geographically. Some specific towns (Laibin, Shuanglong, and Longchang) within Xuan Wei manifested high correlations between lung cancer mortality and coal mines. The effects of coal mines on lung cancer mortality rates also spread geographically outward from these areas. Public health concern regarding lung cancer in Xuan Wei should prioritize higher-risk towns surrounded by smoking coal mines. Intervention strategies for particular toxic coal types require further studies on their chemical characteristics and mechanisms of carcinogenesis. Additional studies are also warranted to systematically examine the local environmental health risks related to coal industries and combustion air pollution and eventually to conduct early screening of lung cancer for local people who are more exposed to smoky coal in high-risk areas.
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Affiliation(s)
- Jinhui Li
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.,Department of Environmental Medicine, New York University, New York, USA
| | - Wenbo Guo
- School of Geography and the Environment, University of Oxford, Oxford, OX1 3QY, UK
| | - Jinjun Ran
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Robert Tang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Hualiang Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiao Chen
- Department of Thoracic Surgery I, Cancer Research Institute of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, Yunnan, China
| | - Bofu Ning
- Xuanwei Center for Disease Control and Prevention, Xuanwei, Yunnan, China
| | - Jihua Li
- Qujing Center for Disease Control and Prevention, Qujing, Yunnan, China
| | - Yongchun Zhou
- Cancer Research Institute of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, Yunnan, China
| | - Lung-Chi Chen
- Department of Environmental Medicine, New York University, New York, USA
| | - Linwei Tian
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China
| | - Yunchao Huang
- Department of Thoracic Surgery I, Cancer Research Institute of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, Yunnan, China. .,Cancer Research Institute of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, Yunnan, China.
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Li J, Ran J, Chen LC, Costa M, Huang Y, Chen X, Tian L. Bituminous coal combustion and Xuan Wei Lung cancer: a review of the epidemiology, intervention, carcinogens, and carcinogenesis. Arch Toxicol 2019; 93:573-583. [PMID: 30649585 DOI: 10.1007/s00204-019-02392-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 01/10/2019] [Indexed: 12/27/2022]
Abstract
Indoor air pollution from bituminous coal combustion has been linked to the extremely high lung cancer rates of nonsmoking women in Xuan Wei County, Yunnan Province, China. Venting the smoke outdoors by installing chimneys was found to be effective at reducing the lung cancer risk in a cohort study of 21,232 farmers in central Xuan Wei. However, the lung cancer mortality rates in all 1.2 million residents of Xuan Wei have been increasing dramatically over the last four decades. It was higher than that in Yunnan Province and China overall, with significant heterogeneities in the geographic patterns of Xuan Wei. Intervention measures targeting certain types of coal or certain carcinogenic components in coal smoke need to be explored. To inform targeted intervention policies, it is essential to pinpoint the specific substance (particulate matter, organic extract, PAHs, free radicals, crystalline silica, and inorganic matter) that might account for the carcinogenicity of bituminous coal smoke. Exploring the underlying carcinogenesis mechanisms would also contribute to the intervention and control of the lung cancer epidemic in Xuan Wei, China. Here we review the suspected carcinogens and carcinogenesis mechanisms and discuss future research directions towards a better understanding of the etiology of lung cancer in Xuan Wei, China.
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Affiliation(s)
- Jinhui Li
- Li Ka Shing Faculty of Medicine, School of Public Health, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong SAR, China.,Department of Environmental Medicine, New York University, New York, USA
| | - Jinjun Ran
- Li Ka Shing Faculty of Medicine, School of Public Health, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong SAR, China
| | - Lung-Chi Chen
- Department of Environmental Medicine, New York University, New York, USA
| | - Max Costa
- Department of Environmental Medicine, New York University, New York, USA
| | - Yunchao Huang
- Cancer Research Institute of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, Yunnan, People's Republic of China
| | - Xiao Chen
- Cancer Research Institute of Yunnan Province, The Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital), Kunming, Yunnan, People's Republic of China
| | - Linwei Tian
- Li Ka Shing Faculty of Medicine, School of Public Health, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong SAR, China.
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