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Zhang JJ, Zheng Y, Vermeulen R, Liu XL, Dai Y, Hu W, He L, Lin Y, Ren D, Duan H, Niu Y, Xu J, Fu W, Meliefste K, Zhou B, Yang J, Ye M, Jia X, Meng T, Bin P, Bassig BA, Hosgood HD, Silverman D, Lan Q, Rothman N. Urinary Amino-PAHs in relation to diesel engine emissions and urinary mutagenicity. Int J Hyg Environ Health 2023; 253:114223. [PMID: 37557062 PMCID: PMC10529049 DOI: 10.1016/j.ijheh.2023.114223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/22/2023] [Accepted: 07/12/2023] [Indexed: 08/11/2023]
Abstract
Diesel exhaust has long been of health concern due to established toxicity including carcinogenicity in humans. However, the precise components of diesel engine emissions that drive carcinogenesis are still unclear. Limited work has suggested that nitrated polycyclic aromatic hydrocarbons (NPAHs) such as 1-nitropyrene and 2-nitrofluorene may be more abundant in diesel exhaust. The present study aimed to examine whether urinary amino metabolites of these NPAHs were associated with high levels of diesel engine emissions and urinary mutagenicity in a group of highly exposed workers including both smokers and nonsmokers. Spot urine samples were collected immediately following a standard work shift from each of the 54 diesel engine testers and 55 non-tester controls for the analysis of five amino metabolites of NPAHs, and cotinine (a biomarker of tobacco smoke exposure) using liquid chromatography-mass spectrometry. An overnight urine sample was collected in a subgroup of non-smoking participants for mutagenicity analysis using strain YG1041 in the Salmonella (Ames) mutagenicity assay. Personal exposure to fine particles (PM2.5) and more-diesel-specific constituents (elemental carbon and soot) was assessed for the engine testers by measuring breathing-zone concentrations repeatedly over several full work shifts. Results showed that it was 12.8 times more likely to detect 1-aminopyrene and 2.9 times more likely to detect 2-aminofluorene in the engine testers than in unexposed controls. Urinary concentrations of 1-aminopyrene were significantly higher in engine testers (p < 0.001), and strongly correlated with soot and elemental carbon exposure as well as mutagenicity tested in strain YG1041 with metabolic activation (p < 0.001). Smoking did not affect 1-aminopyrene concentrations and 1-aminopyrene relationships with diesel exposure. In contrast, both engine emissions and smoking affected 2-aminofluorene concentrations. The results confirm that urinary 1-aminopyrene may serve as an exposure biomarker for diesel engine emissions and associated mutagenicity.
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Affiliation(s)
- Junfeng Jim Zhang
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA; Duke Kunshan University, Kunshan City, Jiangsu Province, China.
| | - Yuxin Zheng
- School of Public Health, Qingdao University, China
| | | | - Xing Lucy Liu
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Yufei Dai
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Linchen He
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA; College of Health, Lehigh University, Bethlehem, PA, USA
| | - Yan Lin
- Nicholas School of the Environment and Duke Global Health Institute, Duke University, Durham, NC, USA
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Xu
- Hong Kong University, Hong Kong
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | | | | | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - Meng Ye
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - H Dean Hosgood
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Division of Epidemiology, Albert Einstein College of Medicine, New York, USA
| | - Debra Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Silverman DT, Bassig BA, Lubin J, Graubard B, Blair A, Vermeulen R, Attfield M, Appel N, Rothman N, Stewart P, Koutros S. The Diesel Exhaust in Miners Study (DEMS) II: Temporal Factors Related to Diesel Exhaust Exposure and Lung Cancer Mortality in the Nested Case-Control Study. Environ Health Perspect 2023; 131:87002. [PMID: 37549095 PMCID: PMC10406174 DOI: 10.1289/ehp11980] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND The Diesel Exhaust in Miners Study (DEMS) was an important contributor to the International Agency for Research on Cancer reclassification of diesel exhaust as a Group I carcinogen and subsequent risk assessment. We extended the DEMS cohort follow-up by 18 y and the nested case-control study to include all newly identified lung cancer deaths and matched controls (DEMS II), nearly doubling the number of lung cancer deaths. OBJECTIVE Our purpose was to characterize the exposure-response relationship with a focus on the effects of timing of exposure and exposure cessation. METHODS We conducted a case-control study of lung cancer nested in a cohort of 12,315 workers in eight nonmetal mines (376 lung cancer deaths, 718 controls). Controls were selected from workers who were alive when the case died, individually matched on mine, sex, race/ethnicity, and birth year (within 5 y). Based on an extensive historical exposure assessment, we estimated respirable elemental carbon (REC), an index of diesel exposure, for each cohort member. Odds ratios (ORs) were estimated by conditional regression analyses controlling for smoking and other confounders. To evaluate time windows of exposure, we evaluated the joint OR patterns for cumulative REC within each of four preselected exposure time windows, < 5 , 5-9, 10-19, and ≥ 20 y prior to death/reference date, and we evaluated the interaction of cumulative exposure across time windows under additive and multiplicative forms for the joint association. RESULTS ORs increased with increasing 15-y lagged cumulative exposure, peaking with a tripling of risk for exposures of ∼ 950 to < 1,700 μ g / m 3 -y [OR = 3.23 ; 95% confidence interval (CI): 1.47, 7.10], followed by a plateau/decline among the heavily exposed (OR = 1.85 ; 95% CI: 0.85, 4.04). Patterns of risk by cumulative REC exposure varied across four exposure time windows (p homogeneity < 0.001 ), with ORs increasing for exposures accrued primarily 10-19 y prior to death (p trend < 0.001 ). Results provided little support for a waning of risk among workers whose exposures ceased for ≥ 20 y. CONCLUSION DEMS II findings provide insight into the exposure-response relationship between diesel exhaust and lung cancer mortality. The pronounced effect of exposures occurring in the window 10-19 y prior to death, the sustained risk 20 or more years after exposure ceases, and the plateau/decline in risk among the most heavily exposed provide direction for future research on the mechanism of diesel-induced carcinogenesis in addition to having important implications for the assessment of risk from diesel exhaust by regulatory agencies. https://doi.org/10.1289/EHP11980.
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Affiliation(s)
- Debra T. Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
| | - Bryan A. Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
| | - Jay Lubin
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
| | - Barry Graubard
- Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
| | - Aaron Blair
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
| | - Roel Vermeulen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
| | - Michael Attfield
- Surveillance Branch, Division of Respiratory Disease Studies, U.S. National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
| | - Nathan Appel
- Information Management Systems, Inc., Rockville, Maryland, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
| | - Patricia Stewart
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, U.S. National Cancer Institute, Bethesda, Maryland, USA
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3
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Koutros S, Graubard B, Bassig BA, Vermeulen R, Appel N, Hyer M, Stewart PA, Silverman DT. Diesel Exhaust Exposure and Cause-Specific Mortality in the Diesel Exhaust in Miners Study II (DEMS II) Cohort. Environ Health Perspect 2023; 131:87003. [PMID: 37549097 PMCID: PMC10406173 DOI: 10.1289/ehp12840] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 06/26/2023] [Accepted: 06/26/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND With the exception of lung cancer, the health effects associated with diesel exhaust for other cancers and nonmalignant health outcomes are not well understood. OBJECTIVES We extended the mortality follow-up of the Diesel Exhaust in Miners Study, a cohort study of 12,315 workers, by 18 y (ending 31 December 2015), more than doubling the number of observed deaths to n = 4,887 , to evaluate associations between mortality and diesel exhaust exposure. METHODS Quantitative estimates of historical exposure to respirable elemental carbon (REC), a surrogate for diesel exhaust, were created for all jobs, by year and facility, using measurements collected from each mine, as well as historical measurements. Standardized mortality ratios (SMRs) and hazard ratios (HRs) were estimated for the entire cohort and by worker location (surface, underground). RESULTS We observed an excess of death for cancers of the lung, trachea, and bronchus (n = 409 ; SMR = 1.24 ; 95% CI: 1.13, 1.37). Among workers who ever worked underground, where the majority of diesel exposure occurred, excess deaths were evident for lung, trachea, and bronchus cancers (n = 266 ; SMR = 1.26 ; 95% CI: 1.11, 1.42). Several nonmalignant diseases were associated with excess mortality among workers ever-employed underground, including ischemic heart disease (SMR = 1.08 ; 95% CI: 1.00, 1.16), cerebrovascular disease (SMR = 1.22 ; 95% CI: 1.04, 1.43), and nonmalignant diseases of the respiratory system (SMR = 1.13 ; 95% CI: 1.01, 1.26). Continuous 15-y lagged cumulative REC exposure < 1,280 μ g / m 3 -y was associated with increased lung cancer risk (HR = 1.93 ; 95% CI: 1.24, 3.03), but the risk declined at the highest exposures (HR = 1.29 ; 95% CI: 0.74, 2.26). We also observed a significant trend in non-Hodgkin lymphoma (NHL) risk with increasing 20-y lagged cumulative REC (HR Tertile 3 vs. Tertile 1 = 3.12 ; 95% CI: 1.00, 9.79; p -trend = 0.031 ). DISCUSSION Increased risks of lung cancer mortality observed in the original study were sustained. Observed associations between diesel exposure and risk of death from NHL and the excesses in deaths for diseases of the respiratory and cardiovascular system, including ischemic heart disease and cerebrovascular disease, warrant further study and provide evidence of the potential widespread public health impact of diesel exposure. https://doi.org/10.1289/EHP12840.
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Affiliation(s)
- Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Barry Graubard
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Bryan A. Bassig
- Formerly Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Nathan Appel
- Information Management Services, Inc. Rockville, Maryland, USA
| | - Marianne Hyer
- Information Management Services, Inc. Rockville, Maryland, USA
| | | | - Debra T. Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
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4
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Shi J, Shiraishi K, Choi J, Matsuo K, Chen TY, Dai J, Hung RJ, Chen K, Shu XO, Kim YT, Landi MT, Lin D, Zheng W, Yin Z, Zhou B, Song B, Wang J, Seow WJ, Song L, Chang IS, Hu W, Chien LH, Cai Q, Hong YC, Kim HN, Wu YL, Wong MP, Richardson BD, Funderburk KM, Li S, Zhang T, Breeze C, Wang Z, Blechter B, Bassig BA, Kim JH, Albanes D, Wong JYY, Shin MH, Chung LP, Yang Y, An SJ, Zheng H, Yatabe Y, Zhang XC, Kim YC, Caporaso NE, Chang J, Ho JCM, Kubo M, Daigo Y, Song M, Momozawa Y, Kamatani Y, Kobayashi M, Okubo K, Honda T, Hosgood DH, Kunitoh H, Patel H, Watanabe SI, Miyagi Y, Nakayama H, Matsumoto S, Horinouchi H, Tsuboi M, Hamamoto R, Goto K, Ohe Y, Takahashi A, Goto A, Minamiya Y, Hara M, Nishida Y, Takeuchi K, Wakai K, Matsuda K, Murakami Y, Shimizu K, Suzuki H, Saito M, Ohtaki Y, Tanaka K, Wu T, Wei F, Dai H, Machiela MJ, Su J, Kim YH, Oh IJ, Lee VHF, Chang GC, Tsai YH, Chen KY, Huang MS, Su WC, Chen YM, Seow A, Park JY, Kweon SS, Chen KC, Gao YT, Qian B, Wu C, Lu D, Liu J, Schwartz AG, Houlston R, Spitz MR, Gorlov IP, Wu X, Yang P, Lam S, Tardon A, Chen C, Bojesen SE, Johansson M, Risch A, Bickeböller H, Ji BT, Wichmann HE, Christiani DC, Rennert G, Arnold S, Brennan P, McKay J, Field JK, Shete SS, Le Marchand L, Liu G, Andrew A, Kiemeney LA, Zienolddiny-Narui S, Grankvist K, Johansson M, Cox A, Taylor F, Yuan JM, Lazarus P, Schabath MB, Aldrich MC, Jeon HS, Jiang SS, Sung JS, Chen CH, Hsiao CF, Jung YJ, Guo H, Hu Z, Burdett L, Yeager M, Hutchinson A, Hicks B, Liu J, Zhu B, Berndt SI, Wu W, Wang J, Li Y, Choi JE, Park KH, Sung SW, Liu L, Kang CH, Wang WC, Xu J, Guan P, Tan W, Yu CJ, Yang G, Sihoe ADL, Chen Y, Choi YY, Kim JS, Yoon HI, Park IK, Xu P, He Q, Wang CL, Hung HH, Vermeulen RCH, Cheng I, Wu J, Lim WY, Tsai FY, Chan JKC, Li J, Chen H, Lin HC, Jin L, Liu J, Sawada N, Yamaji T, Wyatt K, Li SA, Ma H, Zhu M, Wang Z, Cheng S, Li X, Ren Y, Chao A, Iwasaki M, Zhu J, Jiang G, Fei K, Wu G, Chen CY, Chen CJ, Yang PC, Yu J, Stevens VL, Fraumeni JF, Chatterjee N, Gorlova OY, Hsiung CA, Amos CI, Shen H, Chanock SJ, Rothman N, Kohno T, Lan Q. Genome-wide association study of lung adenocarcinoma in East Asia and comparison with a European population. Nat Commun 2023; 14:3043. [PMID: 37236969 PMCID: PMC10220065 DOI: 10.1038/s41467-023-38196-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Accepted: 04/19/2023] [Indexed: 05/28/2023] Open
Abstract
Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (Pinteraction = 0.0058). These findings provide new insights into the etiology of lung adenocarcinoma in individuals from East Asian populations, which could be important in developing translational applications.
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Affiliation(s)
- Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Jiyeon Choi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Tzu-Yu Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Juncheng Dai
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, ON, Canada
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Young Tae Kim
- Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Baosen Zhou
- Department of Clinical Epidemiology and Center of Evidence Based Medicine, The First Hospital of China Medical University, Shenyang, China
| | - Bao Song
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Jiucun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei Jie Seow
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hee Nam Kim
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Maria Pik Wong
- Department of Pathology, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Brian Douglas Richardson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Karen M Funderburk
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Shilan Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Biostatistics, Bioinformatics & Biomathematics, Georgetown University Medical Center, Washington, DC, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Zhaoming Wang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jin Hee Kim
- Department of Environmental Health, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Lap Ping Chung
- Department of Pathology, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Yang Yang
- Shanghai Pulmonary Hospital, Shanghai, China
| | - She-Juan An
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Yasushi Yatabe
- Department of Pathology and Clinical Laboratories, National Cancer Center Hospital, Tokyo, Japan
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Young-Chul Kim
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasuneup, Republic of Korea
- Department of Internal Medicine, Chonnam National Univerisity Medical School, Gwangju, Republic of Korea
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jiang Chang
- Department of Etiology & Carcinogenesis, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - James Chung Man Ho
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Michiaki Kubo
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yataro Daigo
- Center for Antibody and Vaccine Therapy, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Department of Medical Oncology and Cancer Center, and Center for Advanced Medicine against Cancer, Shiga University of Medical Science, Shiga, Japan
| | - Minsun Song
- Department of Statistics & Research Institute of Natural Sciences, Sookmyung Women's University, Seoul, Republic of Korea
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masashi Kobayashi
- Department of Thoracic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kenichi Okubo
- Department of Thoracic Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takayuki Honda
- Department of Respiratory Medicine, Tokyo Medical and Dental University, Tokyo, Japan
| | - Dean H Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Hideo Kunitoh
- Department of Medical Oncology, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Harsh Patel
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Shun-Ichi Watanabe
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Japan
| | - Haruhiko Nakayama
- Department of Thoracic Surgery, Kanagawa Cancer Center, Yokohama, Japan
| | - Shingo Matsumoto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Hidehito Horinouchi
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Masahiro Tsuboi
- Department of Thoracic Surgery, National Cancer Center Hospital East, Kashiwa, Japan
| | - Ryuji Hamamoto
- Division of Medical AI Research and Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Koichi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Kashiwa, Japan
| | - Yuichiro Ohe
- Department of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Akiteru Goto
- Department of Cellular and Organ Pathology, Graduate School of Medicine, Akita University, Akita, Japan
| | - Yoshihiro Minamiya
- Department of Thoracic Surgery, Graduate School of Medicine, Akita University, Akita, Japan
| | - Megumi Hara
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Yuichiro Nishida
- Department of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan
| | - Kenji Takeuchi
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenji Wakai
- Department of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Science, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Yoshinori Murakami
- Division of Molecular Pathology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kimihiro Shimizu
- Department of Surgery, Division of General Thoracic Surgery, Shinshu University School of Medicine Asahi, Nagano, Japan
| | - Hiroyuki Suzuki
- Department of Chest Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Motonobu Saito
- Department of Gastrointestinal Tract Surgery, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Yoichi Ohtaki
- Department of Integrative center of General Surgery, Gunma University Hospital, Gunma, Japan
| | - Kazumi Tanaka
- Department of Integrative center of General Surgery, Gunma University Hospital, Gunma, Japan
| | - Tangchun Wu
- Institute of Occupational Medicine and Ministry of Education Key Lab for Environment and Health, School of Public Health, Huazhong University of Science and Technology, Wuhan, China
| | - Fusheng Wei
- China National Environmental Monitoring Center, Beijing, China
| | - Hongji Dai
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jian Su
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yeul Hong Kim
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - In-Jae Oh
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasuneup, Republic of Korea
- Department of Internal Medicine, Chonnam National Univerisity Medical School, Gwangju, Republic of Korea
| | - Victor Ho Fun Lee
- Department of Clinical Oncology, The University of Hong Kong, Queen Mary Hospital, Hong Kong, Hong Kong
| | - Gee-Chen Chang
- School of Medicine and Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Internal Medicine, Division of Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan
- Institute of Biomedical Sciences, National Chung Hsing University, Taichung, Taiwan
- Department of Internal Medicine, Division of Chest Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Ying-Huang Tsai
- Department of Respiratory Therapy, Chang Gung University, Taoyuan, Taiwan
- Department of Pulmonary and Critical Care, Xiamen Chang Gung Hospital, Xiamen, China
| | - Kuan-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan
| | - Ming-Shyan Huang
- Department of Internal Medicine, E-Da Cancer Hospital, I-Shou University and Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wu-Chou Su
- Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yuh-Min Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, and school of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
- Jeonnam Regional Cancer Center, Chonnam National University, Hwasun, Republic of Korea
| | - Kun-Chieh Chen
- Department of Internal Medicine, Division of Pulmonary Medicine, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Biyun Qian
- Department of Epidemiology and Biostatistics, National Clinical Research Center for Cancer, Key Laboratory of Molecular Cancer Epidemiology of Tianjin, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Chen Wu
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Daru Lu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jianjun Liu
- Genome Institute of Singapore, Agency of Science, Technology and Research, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | | | - Richard Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Margaret R Spitz
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
| | - Ivan P Gorlov
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
| | - Xifeng Wu
- School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Ping Yang
- Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ, USA
| | - Stephen Lam
- British Columbia Cancer Agency, Vancouver, BC, Canada
| | | | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Stig E Bojesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Copenhagen, Denmark
| | - Mattias Johansson
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Angela Risch
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC-H), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
- University of Salzburg and Cancer Cluster Salzburg, Salzburg, Austria
| | | | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - H-Erich Wichmann
- Institute of Medical Informatics, Biometry and Epidemiology, Ludwig Maximilians University, Munich, Germany
- Helmholtz Center Munich, Institute of Epidemiology, Munich, Germany
- Institute of Medical Statistics and Epidemiology, Technical University Munich, Munich, Germany
| | | | | | | | - Paul Brennan
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - James McKay
- International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | | | - Sanjay S Shete
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Geoffrey Liu
- Princess Margaret Cancer Center, Toronto, ON, Canada
| | | | | | | | - Kjell Grankvist
- Department of Medical Biosciences, Umeå University, Umeå, Sweden
| | | | | | | | - Jian-Min Yuan
- UPMC Hillman Cancer Center and Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Philip Lazarus
- Washington State University College of Pharmacy, Spokane, WA, USA
| | - Matthew B Schabath
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Melinda C Aldrich
- Department of Thoracic Surgery, Division of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Hyo-Sung Jeon
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Shih Sheng Jiang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Jae Sook Sung
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Chung-Hsing Chen
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Chin-Fu Hsiao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Yoo Jin Jung
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Huan Guo
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhibin Hu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Jia Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Wu
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Junwen Wang
- Department of Biochemistry, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
- Centre for Genomic Sciences, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yuqing Li
- Department of Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Jin Eun Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Kyong Hwa Park
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Sook Whan Sung
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Li Liu
- Department of Oncology, Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Chang Hyun Kang
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Wen-Chang Wang
- The Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Jun Xu
- School of Public Health, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Wen Tan
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsinchu, Taiwan
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | | | - Ying Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Yi Young Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Jun Suk Kim
- Department of Internal Medicine, Division of Medical Oncology, College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Ho-Il Yoon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - In Kyu Park
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ping Xu
- Department of Oncology, Wuhan Iron and Steel (Group) Corporation Staff-Worker Hospital, Wuhan, China
| | - Qincheng He
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Chih-Liang Wang
- Department of Pulmonary and Critical Care, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Hsiao-Han Hung
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Roel C H Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Junjie Wu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei-Yen Lim
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - John K C Chan
- Department of Pathology, Queen Elizabeth Hospital, Hong Kong, China
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Qujing, China
| | - Hongyan Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Hsien-Chih Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Li Jin
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jie Liu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Kathleen Wyatt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Shengchao A Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc., Rockville, MD, USA
| | - Hongxia Ma
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Zhehai Wang
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Sensen Cheng
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Xuelian Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Yangwu Ren
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
- Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Ann Chao
- Center for Global Health, National Cancer Institute, Bethesda, MD, USA
| | - Motoki Iwasaki
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Junjie Zhu
- Shanghai Pulmonary Hospital, Shanghai, China
| | | | - Ke Fei
- Shanghai Pulmonary Hospital, Shanghai, China
| | - Guoping Wu
- China National Environmental Monitoring Center, Beijing, China
| | - Chih-Yi Chen
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Division of Thoracic Surgery, Department of Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chien-Jen Chen
- Genomic Research Center, Academia Sinica, Taipei, Taiwan
| | - Pan-Chyr Yang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Jinming Yu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | | | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Olga Y Gorlova
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Christopher I Amos
- Department of Medicine, Section of Epidemiology and Population Science, Institute for Clinical and Translational Research, Houston, TX, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Hongbing Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Research Institute, Tokyo, Japan
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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5
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Rahman ML, Bassig BA, Grigoryan H, Hu W, Hosgood HD, Huang WY, Wong JYY, Strickland P, Rappaport SM, Lan Q, Rothman N. A nested case-control study of untargeted albumin adductomics and acute myeloid leukemia. Int J Cancer 2023. [PMID: 37138425 DOI: 10.1002/ijc.34550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 03/28/2023] [Accepted: 03/30/2023] [Indexed: 05/05/2023]
Abstract
Environmental exposures often produce reactive electrophiles in vivo, leading to oxidative stress, which plays a major role in carcinogenesis. These electrophiles frequently form adducts with human albumin, which can be measured to assess in vivo oxidative stress. Here, we aimed to examine the associations between circulatory albumin adducts and acute myeloid leukemia (AML), the most common adult myeloid leukemia that showed consistent associations with environmental exposures. We conducted a nested case-control study of 52 incident AML cases and 103 controls matched on age, sex and race within two prospective cohorts: the CLUE and PLCO studies. We measured 42 untargeted albumin adducts in prediagnostic samples using liquid chromatography-high-resolution mass spectrometry. Circulatory albumin adducts were associated with AML in conditional logistic regression models. For instance, higher levels of Cys34 disulfide adduct of the S-γ-glutamylcysteine, a precursor of the essential antioxidant, glutathione were associated with a lower risk of AML (odds ratios [95% confidence intervals]) for the 1st, 2nd and 3rd tertiles were 1.0, 0.65 (0.31-1.36) and 0.31 (0.12-0.80), respectively (P-trend = .01). These associations were largely driven by effects present among cases diagnosed at or above the median follow-up time of 5.5 years. In conclusion, applying a novel approach to characterize exposures in the prediagnostic samples, we found evidence supporting the notion that oxidative stress may play a role in the pathogenesis of AML. Our findings offer insight into AML etiology and may be relevant in identifying novel therapeutic targets.
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Affiliation(s)
- Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA
| | - Hasmik Grigoryan
- Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, California, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA
| | - Paul Strickland
- Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Stephen M Rappaport
- Center for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, California, USA
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA
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6
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Wong JY, Blechter B, Bassig BA, Dai Y, Vermeulen R, Hu W, Rahman ML, Duan H, Niu Y, Downward GS, Leng S, Ji BT, Fu W, Xu J, Meliefste K, Zhou B, Yang J, Ren D, Ye M, Jia X, Meng T, Bin P, Hosgood HD, Rothman N, Silverman DT, Zheng Y, Lan Q. Alterations to biomarkers related to long-term exposure to diesel exhaust at concentrations below occupational exposure limits in the European Union and the USA. Occup Environ Med 2023; 80:260-267. [PMID: 36972977 PMCID: PMC10337808 DOI: 10.1136/oemed-2022-108719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 03/04/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND We previously found that occupational exposure to diesel engine exhaust (DEE) was associated with alterations to 19 biomarkers that potentially reflect the mechanisms of carcinogenesis. Whether DEE is associated with biological alterations at concentrations under existing or recommended occupational exposure limits (OELs) is unclear. METHODS In a cross-sectional study of 54 factory workers exposed long-term to DEE and 55 unexposed controls, we reanalysed the 19 previously identified biomarkers. Multivariable linear regression was used to compare biomarker levels between DEE-exposed versus unexposed subjects and to assess elemental carbon (EC) exposure-response relationships, adjusted for age and smoking status. We analysed each biomarker at EC concentrations below the US Mine Safety and Health Administration (MSHA) OEL (<106 µg/m3), below the European Union (EU) OEL (<50 µg/m3) and below the American Conference of Governmental Industrial Hygienists (ACGIH) recommendation (<20 µg/m3). RESULTS Below the MSHA OEL, 17 biomarkers were altered between DEE-exposed workers and unexposed controls. Below the EU OEL, DEE-exposed workers had elevated lymphocytes (p=9E-03, false discovery rate (FDR)=0.04), CD4+ count (p=0.02, FDR=0.05), CD8+ count (p=5E-03, FDR=0.03) and miR-92a-3p (p=0.02, FDR=0.05), and nasal turbinate gene expression (first principal component: p=1E-06, FDR=2E-05), as well as decreased C-reactive protein (p=0.02, FDR=0.05), macrophage inflammatory protein-1β (p=0.04, FDR=0.09), miR-423-3p (p=0.04, FDR=0.09) and miR-122-5p (p=2E-03, FDR=0.02). Even at EC concentrations under the ACGIH recommendation, we found some evidence of exposure-response relationships for miR-423-3p (ptrend=0.01, FDR=0.19) and gene expression (ptrend=0.02, FDR=0.19). CONCLUSIONS DEE exposure under existing or recommended OELs may be associated with biomarkers reflective of cancer-related processes, including inflammatory/immune response.
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Affiliation(s)
- Jason Yy Wong
- Epidemiology and Community Health Branch, National Heart Lung and Blood Institute, Bethesda, Maryland, USA
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Batel Blechter
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Bryan A Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Yufei Dai
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Roel Vermeulen
- The Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Wei Hu
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Mohammad L Rahman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Huawei Duan
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - George S Downward
- The Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Shuguang Leng
- Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA
- Cancer Control and Population Sciences, University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico, USA
| | - Bu-Tian Ji
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Lianing, China
| | - Jun Xu
- Division of Community Medicine and Public Health Practice, Hong Kong University, Hong Kong, Hong Kong, China
| | - Kees Meliefste
- The Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Baosen Zhou
- China Medical University, Liaoning, Shenyang, China
| | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Lianing, China
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Lianing, China
| | - Meng Ye
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - H Dean Hosgood
- Division of Epidemiology, Yeshiva University Albert Einstein College of Medicine, Bronx, New York, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Yuxin Zheng
- School of Public Health, Qingdao University, Qingdao, China
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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7
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Portengen L, Downward G, Bassig BA, Blechter B, Hu W, Wong JYY, Ning B, Rahman ML, Ji BT, Li J, Yang K, Hosgood HD, Silverman DT, Rothman N, Huang Y, Vermeulen R, Lan Q. Methylated polycyclic aromatic hydrocarbons from household coal use across the life course and risk of lung cancer in a large cohort of 42,420 subjects in Xuanwei, China. Environ Int 2023; 173:107870. [PMID: 36921559 DOI: 10.1016/j.envint.2023.107870] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND We previously showed that exposure to 5-methylchrysene (5MC) and other methylated polycyclic aromatic hydrocarbons (PAHs) best explains lung cancer risks in a case-control study among non-smoking women using smoky coal in China. Time-related factors (e.g., age at exposure) and non-linear relations were not explored. OBJECTIVE We investigated the relation between coal-derived air pollutants and lung cancer mortality using data from a large retrospective cohort. METHODS Participants were smoky (bituminous) or smokeless (anthracite) coal users from a cohort of 42,420 subjects from four communes in XuanWei. Follow-up was from 1976 to 2011, during which 4,827 deaths from lung-cancer occurred. Exposures were predicted for 43 different pollutants. Exposure clusters were identified using hierarchical clustering. Cox regression was used to estimate exposure-response relations for 5MC, while effect modification by age at exposure was investigated for cluster prototypes. A Bayesian penalized multi-pollutant model was fitted on a nested case-control sample, with more restricted models fitted to investigate non-linear exposure-response relations. RESULTS We confirmed the strong exposure-response relation for 5MC (Hazard Ratio [95% Confidence Interval] = 2.5 [2.4, 2.6] per standard-deviation (SD)). We identified four pollutant clusters, with all but two PAHs in a single cluster. Exposure to PAHs in the large cluster was associated with a higher lung cancer mortality rate (HR [95%CI] = 2.4 [2.2, 2.6] per SD), while exposure accrued before 18 years of age appeared more important than adulthood exposures. Results from the multi-pollutant model identified anthanthrene (ANT) and benzo(a)chrysene (BaC) as risk factors. 5MC remained strongly associated with lung cancer in models that included ANT and BaC and also benzo(a)pyrene (BaP). CONCLUSION We confirmed the link between PAH exposures and lung cancer in smoky coal users and found exposures before age 18 to be especially important. We found some evidence for the carcinogen 5MC and non-carcinogens ANT and BaC.
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Affiliation(s)
- Lützen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Utrecht, the Netherlands.
| | - George Downward
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Utrecht, the Netherlands
| | - Bryan A Bassig
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Utrecht, the Netherlands
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Bofu Ning
- Xuanwei Center for Disease Control and Prevention, Xuanwei, Qujing, Yunnan, China
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Sanjiangdadao, Qujing, Yunnan, China
| | - Kaiyun Yang
- Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), Kunming, China
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yunchao Huang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Utrecht, the Netherlands
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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8
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Rhee J, Birmann BM, De Roos AJ, Epstein MM, Martinez-Maza O, Breen EC, Magpantay LI, Levin LI, Visvanathan K, Hosgood HD, Rohan TE, Smoller SW, Bassig BA, Qi L, Shu XO, Koh WP, Zheng W, Yuan JM, Weinstein SJ, Albanes D, Lan Q, Rothman N, Purdue MP. Circulating immune markers and risks of non-Hodgkin lymphoma subtypes: A pooled analysis. Int J Cancer 2023; 152:865-878. [PMID: 36151863 PMCID: PMC9812887 DOI: 10.1002/ijc.34299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 08/25/2022] [Accepted: 08/26/2022] [Indexed: 01/07/2023]
Abstract
Although prediagnostic circulating concentrations of the immune activation markers soluble CD27 (sCD27), sCD30 and chemokine ligand-13 (CXCL13) have been associated with non-Hodgkin lymphoma (NHL) risk, studies have been limited by sample size in associations with NHL subtypes. We pooled data from eight nested case-control studies to investigate subtype-specific relationships for these analytes. Using polytomous regression, we calculated odds ratios (ORs) with 95% confidence intervals (CIs) relating study-specific analyte tertiles to selected subtypes vs controls (n = 3310): chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL; n = 623), diffuse large B cell lymphoma (DLBCL; n = 621), follicular lymphoma (FL; n = 398), marginal zone lymphoma (MZL; n = 138), mantle cell lymphoma (MCL; n = 82) and T cell lymphoma (TCL; n = 92). We observed associations with DLBCL for elevated sCD27 [OR for third vs first tertile (ORT3 ) = 2.2, 95% CI = 1.6-3.1], sCD30 (ORT3 = 2.0, 95% CI = 1.6-2.5) and CXCL13 (ORT3 = 2.3, 95% CI = 1.8-3.0). We also observed associations with sCD27 for CLL/SLL (ORT3 = 3.3, 95% CI = 2.4-4.6), MZL (ORT3 = 7.7, 95% CI = 3.0-20.1) and TCL (ORT3 = 3.4, 95% CI = 1.5-7.7), and between sCD30 and FL (ORT3 = 2.7, 95% CI = 2.0-3.5). In analyses stratified by time from phlebotomy to case diagnosis, the sCD27-TCL and all three DLBCL associations were equivalent across both follow-up periods (<7.5, ≥7.5 years). For other analyte-subtype comparisons, associations were stronger for the follow-up period closer to phlebotomy, particularly for indolent subtypes. In conclusion, we found robust evidence of an association between these immune markers and DLBCL, consistent with hypotheses that mechanisms related to immune activation are important in its pathogenesis. Our other findings, particularly for the rarer subtypes MZL and TCL, require further investigation.
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Affiliation(s)
- Jongeun Rhee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Brenda M. Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA
| | - Mara M. Epstein
- Department of Medicine and the Meyers Health Care Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Otoniel Martinez-Maza
- Department of Microbiology, Immunology & Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA, USA
- Jonsson Comprehensive Cancer Center, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
- UCLA AIDS Institute, Los Angeles, CA, USA
- Department of Obstetrics & Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Elizabeth C. Breen
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Larry I. Magpantay
- UCLA AIDS Institute, Los Angeles, CA, USA
- Department of Obstetrics & Gynecology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Lynn I. Levin
- Statistics and Epidemiology Branch, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Kala Visvanathan
- Johns Hopkins Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - H. Dean Hosgood
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Thomas E. Rohan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sylvia W. Smoller
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bryan A. Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Formerly at the U.S. National Cancer Institute. This author is currently employed by the U.S. Centers for Disease Control and Prevention, National Center for Health Statistics. All work on this study by the author was conducted while employed by the National Cancer Institute
| | - Lihong Qi
- Department of Public Health Sciences, University of California Davis, Davis, CA, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117545, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore 117609, Singapore
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Medical Center (UPMC) Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Stephanie J. Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mark P. Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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9
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Hosgood HD, Rahman ML, Blansky D, Hu W, Davitt M, Wen C, Huang Y, Tang X, Li L, Smith MT, Zhang L, Vermeulen R, Rothman N, Bassig BA, Lan Q. Targeted proteomic scan identifies alteration of serum proteins among workers occupationally exposed to low levels of trichloroethylene. Environ Mol Mutagen 2022; 63:423-428. [PMID: 36346153 DOI: 10.1002/em.22518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 10/17/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Occupational exposure to trichloroethylene (TCE) has been associated with alterations in B-cell activation factors and an increased risk of non-Hodgkin's lymphoma (NHL). Here, we aimed to examine the biological processes influenced by TCE exposure to understand the underlying molecular mechanisms. This cross-sectional molecular epidemiology study included data of 1317 targeted proteins in the serum from 42 TCE exposed and 34 unexposed factory workers in Guangdong, China. We used multivariable linear regressions to identify proteins associated with TCE exposure and examined their exposure-response relationship across categories of TCE exposure (unexposed, low exposed: <10 ppm, high exposed: ≥10 ppm). We further examined pathway enrichment of TCE-related proteins to understand their biological response. Occupational exposure to TCE was associated with lower levels of tumor necrosis factor receptor superfamily member 17 (TNFRSF17; β = -.08; p-value = .0003) and kynureninase (KYNU; β = -.10, p-value = .002). These proteins also showed a significant exposure-response relation across the unexposed, low exposed, and high exposed workers (all p-trends < .001, false discovery rate [FDR] < 0.20). Pathway analysis of TCE-related proteins showed significant enrichment (FDR < 0.05) for several inflammatory and immune pathways. TCE exposure was associated with TNFRSF17, a key B-cell maturation antigen that mediates B-cell survival and KYNU, an enzyme that plays a role in T-cell mediated immune response. Given that altered immunity is an established risk factor for NHL, our findings support the biological plausibility of linking TCE exposure with NHL.
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Affiliation(s)
- H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Deanna Blansky
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Meghan Davitt
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Cuiju Wen
- Guangdong Poison Control Center, Guangzhou, China
| | | | - Xiaojiang Tang
- Hunan Prevention and Treatment Institute for Occupational Diseases, Changsha, Hunan, China
| | - Laiyu Li
- Guangdong Poison Control Center, Guangzhou, China
| | - Martyn T Smith
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - Luoping Zhang
- School of Public Health, University of California, Berkeley, Berkeley, California, USA
| | - Roel Vermeulen
- Department of IRAS, Utrecht University, Utrecht, The Netherlands
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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10
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Nagaradona T, Bassig BA, Hosgood D, Vermeulen RCH, Ning B, Seow WJ, Hu W, Portengen L, Wong J, Shu XO, Zheng W, Appel N, Gao YT, Cai QY, Yang G, Chen Y, Downward G, Li J, Yang K, McCullough L, Silverman D, Huang Y, Lan Q. Overall and cause-specific mortality rates among men and women with high exposure to indoor air pollution from the use of smoky and smokeless coal: a cohort study in Xuanwei, China. BMJ Open 2022; 12:e058714. [PMID: 36379646 PMCID: PMC9667990 DOI: 10.1136/bmjopen-2021-058714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES Never-smoking women in Xuanwei (XW), China, have some of the highest lung cancer rates in the country. This has been attributed to the combustion of smoky coal used for indoor cooking and heating. The aim of this study was to evaluate the spectrum of cause-specific mortality in this unique population, including among those who use smokeless coal, considered 'cleaner' coal in XW, as this has not been well-characterised. DESIGN Cohort study. SETTING XW, a rural region of China where residents routinely burn coal for indoor cooking and heating. PARTICIPANTS Age-adjusted, cause-specific mortality rates between 1976 and 2011 were calculated and compared among lifetime smoky and smokeless coal users in a cohort of 42 420 men and women from XW. Mortality rates for XW women were compared with those for a cohort of predominately never-smoking women in Shanghai. RESULTS Mortality in smoky coal users was driven by cancer (41%), with lung cancer accounting for 88% of cancer deaths. In contrast, cardiovascular disease (CVD) accounted for 32% of deaths among smokeless coal users, with 7% of deaths from cancer. Total cancer mortality was four times higher among smoky coal users relative to smokeless coal users, particularly for lung cancer (standardised rate ratio (SRR)=17.6). Smokeless coal users had higher mortality rates of CVD (SRR=2.9) and pneumonia (SRR=2.5) compared with smoky coal users. These patterns were similar in men and women, even though XW women rarely smoked cigarettes. Women in XW, regardless of coal type used, had over a threefold higher rate of overall mortality, and most cause-specific outcomes were elevated compared with women in Shanghai. CONCLUSIONS Cause-specific mortality burden differs in XW based on the lifetime use of different coal types. These observations provide evidence that eliminating all coal use for indoor cooking and heating is an important next step in improving public health particularly in developing countries.
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Affiliation(s)
- Teja Nagaradona
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Bofu Ning
- Xuanwei Center for Disease Control and Prevention, Xuanwei, Yunnan, China
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Jason Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Xiao-Ou Shu
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Wei Zheng
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Nathan Appel
- Information Management Services Inc, Rockville, Maryland, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Qiu-Yin Cai
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Gong Yang
- Department of Medicine, Division of Epidemiology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
| | - Ying Chen
- The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - George Downward
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Qujing, Yunnan, China
| | - Kaiyun Yang
- The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | | | - Debra Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Yunchao Huang
- The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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11
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Huang DT, Bassig BA, Hubbard K, Klein RJ, Talih M. Examining Progress Toward Elimination of Racial and Ethnic Health Disparities for Healthy People 2020 Objectives Using Three Measures of Overall Disparity. Vital Health Stat 1 2022:1-30. [PMID: 36409518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
This report examines changes in health disparities over time by race and ethnicity for HP2020 objectives using three measures of disparity.
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12
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Bassig BA, Alfier JM, Gurley L, Huang DT. Evaluating disparities in Healthy People 2020: An overview of findings. Ann Epidemiol 2022. [DOI: 10.1016/j.annepidem.2022.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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13
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Seow WJ, Hu W, Dai Y, Vermeulen R, Byun HM, Wong JYY, Bassig BA, Blechter B, Duan H, Niu Y, Downward G, Leng S, Ji BT, Fu W, Xu J, Meliefste K, Yang J, Ren D, Ye M, Meng T, Bin P, Hosgood HD, Silverman DT, Rothman N, Zheng Y, Lan Q. Association between diesel exhaust exposure and mitochondrial DNA methylation. Carcinogenesis 2022; 43:1131-1136. [PMID: 36200867 DOI: 10.1093/carcin/bgac077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 09/09/2022] [Accepted: 09/27/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Diesel exhaust is an established human carcinogen, however the mechanisms by which it leads to cancer development are not fully understood. Mitochondrial dysfunction is an established contributor to carcinogenesis. Recent studies have improved our understanding of the role played by epigenetic modifications in the mitochondrial genome on tumorigenesis. In this study, we aim to evaluate the association between diesel engine exhaust (DEE) exposure with mitochondrial DNA (mtDNA) methylation levels in workers exposed to DEE. METHODS The study population consisted of 53 male workers employed at a diesel engine manufacturing facility in Northern China who were routinely exposed to diesel exhaust in their occupational setting, as well as 55 unexposed male control workers from other unrelated factories in the same geographic area. Exposure to DEE, elemental carbon, organic carbon, and particulate matter (PM2.5) were assessed. mtDNA methylation for CpG sites (CpGs) from seven mitochondrial genes (D-Loop, MT-RNR1, MT-CO2, MT-CO3, MT-ATP6, MT-ATP8, MT-ND5) was measured in blood samples. Linear regression models were used to estimate the associations between DEE, elemental carbon, organic carbon and PM2.5 exposures with mtDNA methylation levels, adjusting for potential confounders. RESULTS DEE exposure was associated with decreased MT-ATP6 (difference= -35.6%, p-value= 0.019) and MT-ATP8 methylation (difference= -30%, p-value= 0.029) compared to unexposed controls. Exposures to elemental carbon, organic carbon, and PM2.5 were also significantly and inversely associated with methylation in MT-ATP6 and MT-ATP8 genes (all p-values < 0.05). CONCLUSIONS Our findings suggest that DEE exposure perturbs mtDNA methylation, which may be of importance for tumorigenesis.
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Affiliation(s)
- Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Yufei Dai
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Hyang-Min Byun
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Huawei Duan
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - George Downward
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Shuguang Leng
- School of Public Health, Qingdao University, Qingdao, China
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Jun Xu
- Hong Kong University, Hong Kong, Hong Kong
| | - Kees Meliefste
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Meng Ye
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - H Dean Hosgood
- Division of Epidemiology, Albert Einstein College of Medicine, New York, NY, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Yuxin Zheng
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China.,School of Public Health, Qingdao University, Qingdao, China
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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14
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Wong JYY, Imani P, Grigoryan H, Bassig BA, Dai Y, Hu W, Blechter B, Rahman ML, Ji BT, Duan H, Niu Y, Ye M, Jia X, Meng T, Bin P, Downward G, Meliefste K, Leng S, Fu W, Yang J, Ren D, Xu J, Zhou B, Hosgood HD, Vermeulen R, Zheng Y, Silverman DT, Rothman N, Rappaport SM, Lan Q. Exposure to diesel engine exhaust and alterations to the Cys34/Lys525 adductome of human serum albumin. Environ Toxicol Pharmacol 2022; 95:103966. [PMID: 36067935 PMCID: PMC9757949 DOI: 10.1016/j.etap.2022.103966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/28/2022] [Accepted: 08/29/2022] [Indexed: 06/15/2023]
Abstract
We investigated whether exposure to carcinogenic diesel engine exhaust (DEE) was associated with altered adduct levels in human serum albumin (HSA) residues. Nano-liquid chromatography-high resolution mass spectrometry (nLC-HRMS) was used to measure adducts of Cys34 and Lys525 residues in plasma samples from 54 diesel engine factory workers and 55 unexposed controls. An untargeted adductomics and bioinformatics pipeline was used to find signatures of Cys34/Lys525 adductome modifications. To identify adducts that were altered between DEE-exposed and unexposed participants, we used an ensemble feature selection approach that ranks and combines findings from linear regression and penalized logistic regression, then aggregates the important findings with those determined by random forest. We detected 40 Cys34 and 9 Lys525 adducts. Among these findings, we found evidence that 6 Cys34 adducts were altered between DEE-exposed and unexposed participants (i.e., 841.75, 851.76, 856.10, 860.77, 870.43, and 913.45). These adducts were biologically related to antioxidant activity.
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Affiliation(s)
- Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
| | - Partow Imani
- School of Public Health, University of California, Berkeley, CA, USA
| | - Hasmik Grigoryan
- School of Public Health, University of California, Berkeley, CA, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Yufei Dai
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Huawei Duan
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Meng Ye
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - George Downward
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Kees Meliefste
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Shuguang Leng
- Cancer Control and Population Sciences, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA; Division of Epidemiology, Biostatistics, and Preventive Medicine, Department of Internal Medicine, University of New Mexico School of Medicine, University of New Mexico Comprehensive Cancer Center, Albuquerque, NM, USA
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Jun Xu
- School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Baosen Zhou
- China Medical University, Shenyang, Liaoning, China
| | - H Dean Hosgood
- Division of Epidemiology, Albert Einstein College of Medicine, New York, NY, USA
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Yuxin Zheng
- School of Public Health, Qingdao University, Qingdao, China
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | | | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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15
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Wong JYY, Cawthon R, Hu W, Ezennia S, Gadalla SM, Breeze C, Blechter B, Freedman ND, Huang WY, Hosgood HD, Seow WJ, Bassig BA, Rahman ML, Hayes RB, Rothman N, Lan Q. Alu Retroelement Copy Number and Lung Cancer Risk in the Prospective Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Chest 2022; 162:942-945. [PMID: 35609672 PMCID: PMC9562436 DOI: 10.1016/j.chest.2022.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 04/28/2022] [Accepted: 05/01/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD.
| | - Richard Cawthon
- Department of Human Genetics, The University of Utah School of Medicine, Salt Lake City, UT
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | | | - Shahinaz M Gadalla
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Batel Blechter
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - H Dean Hosgood
- Division of Epidemiology, Albert Einstein College of Medicine, Bronx, NY
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Mohammad L Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | | | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD
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16
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Bassig BA, Hu W, Morton LM, Ji BT, Xu J, Linet MS, Kwong YL, Rothman N, Wong KF, Lan Q. Incidence of myeloid malignancies by subtype in Hong Kong and comparisons with Asian and white men and women in the United States. Leuk Lymphoma 2022; 63:1917-1924. [DOI: 10.1080/10428194.2022.2045593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Bryan A. Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lindsay M. Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jun Xu
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong
| | - Martha S. Linet
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yok-Lam Kwong
- Department of Medicine, Professorial Block, Queen Mary Hospital, Pok Fu Lam, Hong Kong
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kit-Fai Wong
- Department of Pathology, Queen Elizabeth Hospital, Kowloon, Hong Kong
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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17
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Rahman ML, Bassig BA, Dai Y, Hu W, Wong JYY, Blechter B, Hosgood HD, Ren D, Duan H, Niu Y, Xu J, Fu W, Meliefste K, Zhou B, Yang J, Ye M, Jia X, Meng T, Bin P, Silverman DT, Vermeulen R, Rothman N, Zheng Y, Lan Q. Proteomic analysis of serum in workers exposed to diesel engine exhaust. Environ Mol Mutagen 2022; 63:18-28. [PMID: 34894159 DOI: 10.1002/em.22469] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 11/25/2021] [Accepted: 12/09/2021] [Indexed: 06/14/2023]
Abstract
Diesel engine exhaust (DEE) is classified as a Group 1 human carcinogen. Using a targeted proteomics approach, we aimed to identify proteins associated with DEE and characterize these markers to understand the mechanisms of DEE-induced carcinogenicity. In this cross-sectional molecular epidemiology study, we measured elemental carbon (EC) using a personal air monitor and quantified 1317 targeted proteins in the serum using the SOMAScan assay (SOMALogic) among 19 diesel exposed factory workers and 19 unexposed controls. We used linear regressions to identify proteins associated with DEE and examined their exposure-response relationship across levels of EC using linear trend tests. We further examined pathway enrichment of DEE-related proteins using MetaCore. Occupational exposure to DEE was associated with altered levels of 22 serum proteins (permutation p < .01). Of these, 13 proteins (CXCL11, HAPLN1, FLT4, CD40LG, PES1, IGHE.IGK..IGL, TNFSF9, PGD, NAGK, CCL25, CCL4L1, PDXK, and PLA2G1B) showed an exposure-response relationship with EC (p trend < .01), with serum levels of all but PLA2G1B declining with increasing air levels of EC. For instance, C-X-C Motif Chemokine Ligand 11 (CXCL11) showed the most significant association with DEE (β = -0.25; permutation p = .00004), where mean serum levels were 4121.1, 2356.7, and 2298.8 relative fluorescent units among the unexposed, lower exposed (median, range : 56.9, 40.2-62.1 μg/m3 EC), and higher exposed (median, range of EC: 72.9, 66.9-107.7 μg/m3 EC) groups, respectively (p trend = .0005). Pathway analysis suggested that these proteins are enriched in pathways related to inflammation and immune regulation. Our study suggests that DEE exposure is associated with altered serum proteins, which play a role in inflammation and immune regulation.
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Affiliation(s)
- Mohammad L Rahman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Bryan A Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Yufei Dai
- Key laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wei Hu
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Jason Y Y Wong
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Batel Blechter
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Danzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Huawei Duan
- Key laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- Key laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Xu
- School of Public Health, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Kees Meliefste
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Meng Ye
- Key laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- Key laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- Key laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- Key laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Yuxin Zheng
- School of Public Health, Qingdao University, Qingdao, China
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
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18
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Wong JYY, Jones RR, Breeze C, Blechter B, Rothman N, Hu W, Ji BT, Bassig BA, Silverman DT, Lan Q. Commute patterns, residential traffic-related air pollution, and lung cancer risk in the prospective UK Biobank cohort study. Environ Int 2021; 155:106698. [PMID: 34139591 PMCID: PMC8292218 DOI: 10.1016/j.envint.2021.106698] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/08/2021] [Accepted: 06/04/2021] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Commuting exposes millions of people to carcinogens from traffic-related air pollution (TRAP) but is seldomly considered in epidemiologic studies of lung cancer. In the prospective United Kingdom (UK) Biobank cohort study, we investigated associations between commute patterns, residential nitrogen dioxide concentrations (NO2; a surrogate for TRAP), and lung cancer risk. METHODS We analyzed 234,124 employed participants at baseline (2006-2010). There were 493 incident lung cancer cases diagnosed over an average 7-year follow-up. Subjects were cross-classified into exclusive categories of commute mode (automobile, public transportation, walking, cycling, active mixture, and other mixture) and frequency (regular: 1-4, often: ≥5 work-bound trips/week). Annual average residential NO2 concentrations in 2005-2007 were estimated with land use regression. Multivariable Cox regression was used to estimate associations between commute patterns, NO2 quartiles, and incident lung cancer. We conducted analyses stratified by NO2 (>, ≤median = 28.3 µg/m3) and potential confounders such as sex and smoking. RESULTS Compared to regular automobile use, commuting often by public transportation was associated with increased lung cancer risk (hazard ratio (HR) = 1.58, 95% confidence intervals (CI):1.08-2.33). Additionally, we found a positive exposure-response relationship with residential NO2 (HRQ2 = 1.21, 95 %CI: 0.90-1.62; HRQ3 = 1.48, 95 %CI: 1.10-1.99; HRQ4 = 1.58, 95 %CI: 1.13-2.23; p-trend = 3.1 × 10-3). The public transportation association was observed among those with higher NO2 (p-interaction = 0.02). Other commute categories were not associated with risk. CONCLUSIONS Commuters residing in high-NO2 areas who often use public transportation could have elevated lung cancer risk compared to regular automobile users. These results warrant investigations into which component(s) of public transportation contribute to the observed association with increased lung cancer risk.
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Affiliation(s)
- Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA.
| | - Rena R Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Batel Blechter
- Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD 21205, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, USA
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19
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Wong JY, Vermeulen R, Dai Y, Hu W, Martin WK, Warren SH, Liberatore HK, Ren D, Duan H, Niu Y, Xu J, Fu W, Meliefste K, Yang J, Ye M, Jia X, Meng T, Bassig BA, Hosgood HD, Choi J, Rahman ML, Walker DI, Zheng Y, Mumford J, Silverman DT, Rothman N, DeMarini DM, Lan Q. Elevated urinary mutagenicity among those exposed to bituminous coal combustion emissions or diesel engine exhaust. Environ Mol Mutagen 2021; 62:458-470. [PMID: 34331495 PMCID: PMC8511344 DOI: 10.1002/em.22455] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/22/2021] [Accepted: 07/26/2021] [Indexed: 06/13/2023]
Abstract
Urinary mutagenicity reflects systemic exposure to complex mixtures of genotoxic/carcinogenic agents and is linked to tumor development. Coal combustion emissions (CCE) and diesel engine exhaust (DEE) are associated with cancers of the lung and other sites, but their influence on urinary mutagenicity is unclear. We investigated associations between exposure to CCE or DEE and urinary mutagenicity. In two separate cross-sectional studies of nonsmokers, organic extracts of urine were evaluated for mutagenicity levels using strain YG1041 in the Salmonella (Ames) mutagenicity assay. First, we compared levels among 10 female bituminous (smoky) coal users from Laibin, Xuanwei, China, and 10 female anthracite (smokeless) coal users. We estimated exposure-response relationships using indoor air concentrations of two carcinogens in CCE relevant to lung cancer, 5-methylchrysene (5MC), and benzo[a]pyrene (B[a]P). Second, we compared levels among 20 highly exposed male diesel factory workers and 15 unexposed male controls; we evaluated exposure-response relationships using elemental carbon (EC) as a DEE-surrogate. Age-adjusted linear regression was used to estimate associations. Laibin smoky coal users had significantly higher average urinary mutagenicity levels compared to smokeless coal users (28.4 ± 14.0 SD vs. 0.9 ± 2.8 SD rev/ml-eq, p = 2 × 10-5 ) and a significant exposure-response relationship with 5MC (p = 7 × 10-4 ). DEE-exposed workers had significantly higher urinary mutagenicity levels compared to unexposed controls (13.0 ± 10.1 SD vs. 5.6 ± 4.4 SD rev/ml-eq, p = .02) and a significant exposure-response relationship with EC (p-trend = 2 × 10-3 ). Exposure to CCE and DEE is associated with urinary mutagenicity, suggesting systemic exposure to mutagens, potentially contributing to cancer risk and development at various sites.
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Affiliation(s)
- Jason Y.Y. Wong
- Occupational and Environmental Epidemiology Branch,
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville,
Maryland
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Division of
Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Yufei Dai
- Key Laboratory of Chemical Safety and Health, National
Institute of Occupational Health and Poison Control, Chinese Center for Disease
Control and Prevention, Beijing, China
| | - Wei Hu
- Occupational and Environmental Epidemiology Branch,
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville,
Maryland
| | - W. Kyle Martin
- Curriculum in Toxicology and Environmental Medicine,
University of North Carolina, Chapel Hill, North Carolina
| | - Sarah H. Warren
- Office of Research and Development, U.S. Environmental
Protection Agency, Research Triangle Park, North Carolina
| | - Hannah K. Liberatore
- Office of Research and Development, U.S. Environmental
Protection Agency, Research Triangle Park, North Carolina
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention,
Chaoyang, Liaoning, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National
Institute of Occupational Health and Poison Control, Chinese Center for Disease
Control and Prevention, Beijing, China
| | - Yong Niu
- Key Laboratory of Chemical Safety and Health, National
Institute of Occupational Health and Poison Control, Chinese Center for Disease
Control and Prevention, Beijing, China
| | - Jun Xu
- Hong Kong University, Hong Kong
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention,
Chaoyang, Liaoning, China
| | - Kees Meliefste
- Institute for Risk Assessment Sciences, Division of
Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention,
Chaoyang, Liaoning, China
| | - Meng Ye
- Key Laboratory of Chemical Safety and Health, National
Institute of Occupational Health and Poison Control, Chinese Center for Disease
Control and Prevention, Beijing, China
| | - Xiaowei Jia
- Key Laboratory of Chemical Safety and Health, National
Institute of Occupational Health and Poison Control, Chinese Center for Disease
Control and Prevention, Beijing, China
| | - Tao Meng
- Key Laboratory of Chemical Safety and Health, National
Institute of Occupational Health and Poison Control, Chinese Center for Disease
Control and Prevention, Beijing, China
| | - Bryan A. Bassig
- Occupational and Environmental Epidemiology Branch,
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville,
Maryland
| | - H. Dean Hosgood
- Division of Epidemiology, Albert Einstein College of
Medicine, New York, New York
| | - Jiyeon Choi
- Laboratory of Translational Genomics, Division of Cancer
Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Mohammad L. Rahman
- Occupational and Environmental Epidemiology Branch,
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville,
Maryland
| | - Douglas I. Walker
- Department of Environmental Medicine and Public Health,
Icahn School of Medicine at Mount Sinai, New York, New York
| | - Yuxin Zheng
- Key Laboratory of Chemical Safety and Health, National
Institute of Occupational Health and Poison Control, Chinese Center for Disease
Control and Prevention, Beijing, China
| | - Judy Mumford
- Office of Research and Development, U.S. Environmental
Protection Agency, Research Triangle Park, North Carolina
| | - Debra T. Silverman
- Occupational and Environmental Epidemiology Branch,
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville,
Maryland
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch,
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville,
Maryland
| | - David M. DeMarini
- Office of Research and Development, U.S. Environmental
Protection Agency, Research Triangle Park, North Carolina
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch,
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville,
Maryland
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20
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Wong JYY, Cawthon R, Dai Y, Vermeulen R, Bassig BA, Hu W, Duan H, Niu Y, Downward GS, Leng S, Ji BT, Fu W, Xu J, Meliefste K, Zhou B, Yang J, Ren D, Ye M, Jia X, Meng T, Bin P, Hosgood Iii HD, Silverman DT, Rothman N, Zheng Y, Lan Q. Elevated Alu retroelement copy number among workers exposed to diesel engine exhaust. Occup Environ Med 2021; 78:823-828. [PMID: 34039759 DOI: 10.1136/oemed-2021-107462] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 05/03/2021] [Accepted: 05/07/2021] [Indexed: 11/04/2022]
Abstract
BACKGROUND Millions of workers worldwide are exposed to diesel engine exhaust (DEE), a known genotoxic carcinogen. Alu retroelements are repetitive DNA sequences that can multiply and compromise genomic stability. There is some evidence linking altered Alu repeats to cancer and elevated mortality risks. However, whether Alu repeats are influenced by environmental pollutants is unexplored. In an occupational setting with high DEE exposure levels, we investigated associations with Alu repeat copy number. METHODS A cross-sectional study of 54 male DEE-exposed workers from an engine testing facility and a comparison group of 55 male unexposed controls was conducted in China. Personal air samples were assessed for elemental carbon, a DEE surrogate, using NIOSH Method 5040. Quantitative PCR (qPCR) was used to measure Alu repeat copy number relative to albumin (Alb) single-gene copy number in leucocyte DNA. The unitless Alu/Alb ratio reflects the average quantity of Alu repeats per cell. Linear regression models adjusted for age and smoking status were used to estimate relations between DEE-exposed workers versus unexposed controls, DEE tertiles (6.1-39.0, 39.1-54.5 and 54.6-107.7 µg/m3) and Alu/Alb ratio. RESULTS DEE-exposed workers had a higher average Alu/Alb ratio than the unexposed controls (p=0.03). Further, we found a positive exposure-response relationship (p=0.02). The Alu/Alb ratio was highest among workers exposed to the top tertile of DEE versus the unexposed controls (1.12±0.08 SD vs 1.06±0.07 SD, p=0.01). CONCLUSION Our findings suggest that DEE exposure may contribute to genomic instability. Further investigations of environmental pollutants, Alu copy number and carcinogenesis are warranted.
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Affiliation(s)
- Jason Y Y Wong
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Richard Cawthon
- Department of Human Genetics, University of Utah, Salt Lake City, Utah, USA
| | - Yufei Dai
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Bryan A Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Wei Hu
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Huawei Duan
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - George S Downward
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Shuguang Leng
- Department of Internal Medicine, School of Medicine, University of New Mexico, Albuquerque, New Mexico, USA
| | - Bu-Tian Ji
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Jun Xu
- Hong Kong University, Hong Kong, China
| | - Kees Meliefste
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Baosen Zhou
- China Medical University, Shenyang, Liaoning, China
| | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Meng Ye
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - H Dean Hosgood Iii
- Division of Epidemiology, Albert Einstein College of Medicine, Yeshiva University, New York, New York, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Yuxin Zheng
- National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
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21
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Blechter B, Wong JYY, Agnes Hsiung C, Hosgood HD, Yin Z, Shu XO, Zhang H, Shi J, Song L, Song M, Zheng W, Wang Z, Caporaso N, Burdette L, Yeager M, Berndt SI, Teresa Landi M, Chen CJ, Chang GC, Hsiao CF, Tsai YH, Chen KY, Huang MS, Su WC, Chen YM, Chien LH, Chen CH, Yang TY, Wang CL, Hung JY, Lin CC, Perng RP, Chen CY, Chen KC, Li YJ, Yu CJ, Chen YS, Chen YH, Tsai FY, Jie Seow W, Bassig BA, Hu W, Ji BT, Wu W, Guan P, He Q, Gao YT, Cai Q, Chow WH, Xiang YB, Lin D, Wu C, Wu YL, Shin MH, Hong YC, Matsuo K, Chen K, Pik Wong M, Lu D, Jin L, Wang JC, Seow A, Wu T, Shen H, Fraumeni JF, Yang PC, Chang IS, Zhou B, Chanock SJ, Rothman N, Chatterjee N, Lan Q. Sub-multiplicative interaction between polygenic risk score and household coal use in relation to lung adenocarcinoma among never-smoking women in Asia. Environ Int 2021; 147:105975. [PMID: 33385923 PMCID: PMC8378844 DOI: 10.1016/j.envint.2020.105975] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 07/07/2020] [Accepted: 07/10/2020] [Indexed: 06/01/2023]
Abstract
We previously identified 10 lung adenocarcinoma susceptibility loci in a genome-wide association study (GWAS) conducted in the Female Lung Cancer Consortium in Asia (FLCCA), the largest genomic study of lung cancer among never-smoking women to date. Furthermore, household coal use for cooking and heating has been linked to lung cancer in Asia, especially in Xuanwei, China. We investigated the potential interaction between genetic susceptibility and coal use in FLCCA. We analyzed GWAS-data from Taiwan, Shanghai, and Shenyang (1472 cases; 1497 controls), as well as a separate study conducted in Xuanwei (152 cases; 522 controls) for additional analyses. We summarized genetic susceptibility using a polygenic risk score (PRS), which was the weighted sum of the risk-alleles from the 10 previously identified loci. We estimated associations between a PRS, coal use (ever/never), and lung adenocarcinoma with multivariable logistic regression models, and evaluated potential gene-environment interactions using likelihood ratio tests. There was a strong association between continuous PRS and lung adenocarcinoma among never coal users (Odds Ratio (OR) = 1.69 (95% Confidence Interval (CI) = 1.53, 1.87), p=1 × 10-26). This effect was attenuated among ever coal users (OR = 1.24 (95% CI: 1.03, 1.50), p = 0.02, p-interaction = 6 × 10-3). We observed similar attenuation among coal users from Xuanwei. Our study provides evidence that genetic susceptibility to lung adenocarcinoma among never-smoking Asian women is weaker among coal users. These results suggest that lung cancer pathogenesis may differ, at least partially, depending on exposure to coal combustion products. Notably, these novel findings are among the few instances of sub-multiplicative gene-environment interactions in the cancer literature.
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Affiliation(s)
- Batel Blechter
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - H Dean Hosgood
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Han Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Minsun Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA; Department of Statistics, Sookmyung Women's University, Seoul, Republic of Korea
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Zhaoming Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA; Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Neil Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Laurie Burdette
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA; Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research, Frederick, MD, USA; Leidos Biomedical Research, Inc., Frederick, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Maria Teresa Landi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Chien-Jen Chen
- Genomic Research Center, Academia Sinica, Taipei, Taiwan
| | - Gee-Chen Chang
- Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan; Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chin-Fu Hsiao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Ying-Huang Tsai
- Division of Pulmonary and Critical Care Medicine, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Kuan-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Ming-Shyan Huang
- Department of Internal Medicine, E-Da Cancer Hospital, School of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Wu-Chou Su
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yuh-Min Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Li-Hsin Chien
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Chung-Hsing Chen
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Tsung-Ying Yang
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Chih-Liang Wang
- Department of Pulmonary and Critical Care, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Jen-Yu Hung
- Department of Internal Medicine, Kaohsiung Medical University Hospital, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chien-Chung Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Reury-Perng Perng
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chih-Yi Chen
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan; Division of Thoracic Surgery, Department of Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Kun-Chieh Chen
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yao-Jen Li
- Genomic Research Center, Academia Sinica, Taipei, Taiwan
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Yi-Song Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Ying-Hsiang Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Wu
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
| | - Qincheng He
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People's Republic of China
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Wong-Ho Chow
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People's Republic of China
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Chen Wu
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Keitaro Matsuo
- Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, People's Republic of China
| | - Maria Pik Wong
- Department of Pathology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong
| | - Daru Lu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China
| | - Li Jin
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China
| | - Jiu-Cun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, People's Republic of China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, People's Republic of China
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Tangchun Wu
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Hongbing Shen
- Department of Epidemiology and Biostatistics, Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China; Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, People's Republic of China
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Pan-Chyr Yang
- Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, People's Republic of China
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nilanjan Chatterjee
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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22
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Hosgood HD, Cai Q, Hua X, Long J, Shi J, Wan Y, Yang Y, Abnet C, Bassig BA, Hu W, Ji BT, Klugman M, Xiang Y, Gao YT, Wong JY, Zheng W, Rothman N, Shu XO, Lan Q. Variation in oral microbiome is associated with future risk of lung cancer among never-smokers. Thorax 2020; 76:256-263. [PMID: 33318237 DOI: 10.1136/thoraxjnl-2020-215542] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 09/09/2020] [Accepted: 10/06/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To prospectively investigate whether diversity in oral microbiota is associated with risk of lung cancer among never-smokers. DESIGN AND SETTING A nested case-control study within two prospective cohort studies, the Shanghai Women's Health Study (n=74 941) and the Shanghai Men's Health Study (n=61 480). PARTICIPANTS Lifetime never-smokers who had no cancer at baseline. Cases were subjects who were diagnosed with incident lung cancer (n=114) and were matched 1:1 with controls on sex, age (≤2 years), date (≤30 days) and time (morning/afternoon) of sample collection, antibiotic use during the week before sample collection (yes/no) and menopausal status (for women). MAIN OUTCOMES AND MEASURES Metagenomic shotgun sequencing was used to measure the community structure and abundance of the oral microbiome in pre-diagnostic oral rinse samples of each case and control. Multivariable logistic regression models were used to estimate the association of lung cancer risk with alpha diversity metrics and relative abundance of taxa. The Microbiome Regression-Based Kernel Association Test (MiRKAT) evaluated the association between risk and the microbiome beta diversity. RESULTS Subjects with lower microbiota alpha diversity had an increased risk of lung cancer compared with those with higher microbial alpha diversity (Shannon: ptrend=0.05; Simpson: ptrend=0.04; Observed Species: ptrend=0.64). No case-control differences were apparent for beta diversity (pMiRKAT=0.30). After accounting for multiple comparisons, a greater abundance of Spirochaetia (ORlow 1.00 (reference), ORmedium 0.61 (95% CI 0.32 to 1.18), ORhigh 0.42 (95% CI 0.21 to 0.85)) and Bacteroidetes (ORlow 1.00 (reference), ORmedium 0.66 (95% CI 0.35 to 1.25), ORhigh 0.31 (95% CI 0.15 to 0.64)) was associated with a decreased risk of lung cancer, while a greater abundance of the Bacilli class (ORlow 1.00 (reference), ORmedium 1.49 (95% CI 0.73 to 3.08), ORhigh 2.40 (95% CI 1.18 to 4.87)) and Lactobacillales order (ORlow 1.00 (reference), ORmedium 2.15 (95% CI 1.03 to 4.47), ORhigh 3.26 (95% CI 1.58 to 6.70)) was associated with an increased risk of lung cancer. CONCLUSIONS Our prospective study of never-smokers suggests that lower alpha diversity was associated with a greater risk of lung cancer and the abundance of certain specific taxa was associated with altered risk, providing further insight into the aetiology of lung cancer in the absence of active tobacco smoking.
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Affiliation(s)
- H Dean Hosgood
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Qiuyin Cai
- Vanderbilt University, Nashville, Tennessee, USA
| | - Xing Hua
- National Cancer Institute, Bethesda, Maryland, USA
| | - Jirong Long
- Vanderbilt University, Nashville, Tennessee, USA
| | - Jianxin Shi
- National Cancer Institute, Bethesda, Maryland, USA
| | - Yunhu Wan
- National Cancer Institute, Bethesda, Maryland, USA
| | - Yaohua Yang
- Vanderbilt University, Nashville, Tennessee, USA
| | | | | | - Wei Hu
- National Cancer Institute, Bethesda, Maryland, USA
| | - Bu-Tian Ji
- National Cancer Institute, Bethesda, Maryland, USA
| | | | | | | | | | - Wei Zheng
- Vanderbilt University, Nashville, Tennessee, USA
| | | | - Xiao-Ou Shu
- Vanderbilt University, Nashville, Tennessee, USA
| | - Qing Lan
- National Cancer Institute, Bethesda, Maryland, USA
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23
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Chen D, Grimsrud TK, Langseth H, Barr DB, Bassig BA, Blair A, Cantor KP, Gammon MD, Lan Q, Rothman N, Engel LS. Prediagnostic serum concentrations of organochlorine pesticides and non-Hodgkin lymphoma: A nested case-control study in the Norwegian Janus Serum Bank Cohort. Environ Res 2020; 187:109515. [PMID: 32445944 PMCID: PMC9278122 DOI: 10.1016/j.envres.2020.109515] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 04/03/2020] [Accepted: 04/09/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Much of the marked increase in incidence of non-Hodgkin lymphoma (NHL) over the past few decades remains unexplained. Organochlorines, including organochlorine pesticides (OCPs), have been implicated as possible contributors to the increase, but the evidence is inconsistent. OBJECTIVES To investigate the relation between pre-diagnostic levels of OCPs and risk of NHL in a case-control study nested within the population-based Janus Serum Bank Cohort in Norway. METHODS Prediagnostic concentrations of 11 OCPs or OCP metabolites were measured in baseline blood samples collected between 1972 and 1978 from 190 cases and 190 controls matched on sex, county, age at blood draw, and date of blood draw. We conducted conditional logistic regression to estimate adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) for each quartile of lipid-corrected OCP/metabolite relative to the lowest quartile. RESULTS We observed non-significantly elevated ORs across quartiles of β-hexachlorocyclohexane compared to the lowest quartile (OR range: 1.40-1.82) although with no apparent monotonic exposure-response relationship. We also found an inverse association between risk of NHL and o,p'-DDT (OR for Q4 vs. Q1 = 0.44, 95% CI: 0.19, 1.01; p-trend = 0.05). In analyses stratified by age at blood collection and duration of follow-up, several other analytes, primarily chlordane-related compounds, showed inverse associations among younger participants or those with longer follow-up time between blood draw and NHL diagnosis. CONCLUSIONS We found only limited evidence of positive association between selected OCPs and development of NHL.
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Affiliation(s)
- Dazhe Chen
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Tom K Grimsrud
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Hilde Langseth
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Dana B Barr
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Rockville, MD, USA
| | - Aaron Blair
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Rockville, MD, USA
| | - Kenneth P Cantor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Rockville, MD, USA
| | - Marilie D Gammon
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, NC, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Rockville, MD, USA
| | - Lawrence S Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina Chapel Hill, Chapel Hill, NC, USA.
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24
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Song M, Bassig BA, Bender N, Goedert JJ, Winkler CA, Brenner N, Waterboer T, Rabkin CS. Associations of Viral Seroreactivity with AIDS-Related Non-Hodgkin Lymphoma. AIDS Res Hum Retroviruses 2020; 36:381-388. [PMID: 31789046 DOI: 10.1089/aid.2019.0208] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Infection with human immunodeficiency virus (HIV) is associated with substantially increased incidence of non-Hodgkin lymphoma (NHL). This risk may be driven, in part, by reduced immune control over viral infections in the setting of acquired immunodeficiency syndrome (AIDS), although the lymphomagenic mechanisms are not yet established. We used bead-based multiplex assays to measure antibody seroreactivity to 32 viral antigens representing 22 different viral infections (human herpesviruses 1-8, hepatitis B and C virus, human T-lymphotropic virus type-1, and human polyomaviruses) in two prospective HIV cohorts. Incident (n = 28) and prevalent (n = 38) AIDS-related NHL cases were matched by age, sex, race, and CD4 count to 67 HIV-positive control individuals without AIDS-NHL. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations of AIDS-NHL with the number of different viruses to which an individual was seropositive and seroreactivity to individual antigens. Seropositivity to an increasing number of viruses was inversely associated with AIDS-NHL (OR per virus = 0.84, 95% CI = 0.72-0.98). Seroreactivity to herpes simplex virus 2 2mgG unique antigen (OR = 0.47; 95% CI = 0.23-0.97) and to WU polyomavirus viral capsid protein (OR = 0.26, 95% CI = 0.10-0.65) was significantly lower in AIDS-NHL cases compared to controls. In this evaluation of antibodies to multiple viruses, we observed an inverse association between seropositivity to a larger number of viruses and AIDS-NHL. While in need of further evaluation, our data raise the novel hypothesis that insufficient exposures or impaired humoral immune responses to viral infections may be associated with AIDS-related lymphomagenesis.
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Affiliation(s)
- Minkyo Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Bryan A. Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Noemi Bender
- Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - James J. Goedert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Cheryl A. Winkler
- Basic Research Laboratory, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA
- Leidos Biomedical Research, Inc., Frederick National Laboratory, Frederick, Maryland, USA
| | - Nicole Brenner
- Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Tim Waterboer
- Infections and Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Charles S. Rabkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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25
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Bassig BA, Shu XO, Sjödin A, Koh WP, Gao YT, Adams-Haduch J, Davis M, Wang R, Xiang YB, Engel LS, Purdue MP, Ji BT, Yang G, Jones RS, Langseth H, Hosgood HD, Grimsrud TK, Seow WJ, Wong JYY, Hu W, Chen D, Zheng W, Yuan JM, Lan Q, Rothman N. Prediagnostic blood levels of organochlorines and risk of non-Hodgkin lymphoma in three prospective cohorts in China and Singapore. Int J Cancer 2020; 146:839-849. [PMID: 31001807 PMCID: PMC8244652 DOI: 10.1002/ijc.32350] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Revised: 03/22/2019] [Accepted: 04/03/2019] [Indexed: 12/31/2022]
Abstract
Specific organochlorines (OCs) have been associated with non-Hodgkin lymphoma (NHL) with varying degrees of evidence. These associations have not been evaluated in Asia, where the high exposure and historical environmental contamination of certain OC pesticides (e.g., dichlorodiphenyltrichloroethane [DDT], hexachlorocyclohexane [HCH]) are different from Western populations. We evaluated NHL risk and prediagnostic blood levels of OC pesticides/metabolites and polychlorinated biphenyl congeners in a case-control study of 167 NHL cases and 167 controls nested within three prospective cohorts in Shanghai and Singapore. Conditional logistic regression was used to analyze lipid-adjusted OC levels and NHL risk. Median levels of p,p'-dichlorodiphenyldichloroethylene (p,p'-DDE), the primary DDT metabolite, and β-HCH were up to 12 and 65 times higher, respectively, in samples from the Asian cohorts compared to several cohorts in the United States and Norway. An increased risk of NHL was observed among those with higher β-HCH levels both overall (3rd vs. 1st tertile OR = 1.8, 95%CI = 1.0-3.2; ptrend = 0.049) and after excluding cases diagnosed within 2 years of blood collection (3rd vs. 1st tertile OR = 2.0, 95%CI = 1.1-3.9; ptrend = 0.03), and the association was highly consistent across the three cohorts. No significant associations were observed for other OCs, including p,p'-DDE. Our findings provide support for an association between β-HCH blood levels and NHL risk. This is a concern because substantial quantities of persistent, toxic residues of HCH are present in the environment worldwide. Although there is some evidence that DDT is associated with NHL, our findings for p,p'-DDE do not support an association.
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Affiliation(s)
- Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Andreas Sjödin
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Woon-Puay Koh
- Health Services & Systems Research, Duke-NUS Medical School, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
| | - Jennifer Adams-Haduch
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Mark Davis
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Lawrence S Engel
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Richard S Jones
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA
| | - Hilde Langseth
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY
| | - Tom K Grimsrud
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Dazhe Chen
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
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Bassig BA, Dean Hosgood H, Shu XO, Vermeulen R, Chen BE, Katki HA, Seow WJ, Hu W, Portengen L, Ji BT, Wong JYY, Ning B, Downward GS, Li J, Yang K, Yang G, Gao YT, Xiang YB, Nagaradona T, Zheng W, Silverman DT, Huang Y, Lan Q. Ischaemic heart disease and stroke mortality by specific coal type among non-smoking women with substantial indoor air pollution exposure in China. Int J Epidemiol 2020; 49:56-68. [PMID: 31377785 PMCID: PMC7124484 DOI: 10.1093/ije/dyz158] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/08/2019] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Lifetime use of bituminous ('smoky') coal is associated with nearly a 100-fold higher risk of lung cancer mortality compared with anthracite ('smokeless') coal use in rural Xuanwei, China, among women. Risk of mortality from ischaemic heart disease (IHD) and stroke for these coal types has not been evaluated. METHODS A cohort of 16 323 non-smoking women in Xuanwei, who were lifetime users of either smoky or smokeless coal, were followed up from 1976 to 2011. We estimated hazard ratios (HRs) and 95% confidence intervals (CI) to evaluate lifetime use of coal types and stoves in the home in relation to risk of IHD and stroke mortality. RESULTS Among lifetime users of smokeless coal, higher average exposure intensity (≥4 tons/year vs <2.5 tons/year, HR = 7.9, 95% CI = 3.5-17.8; Ptrend =<0.0001) and cumulative exposure (>64 ton-years vs ≤28 ton-years, HR = 6.5, 95% CI = 1.5-28.3; Ptrend =0.003) during follow-up and over their lifetime was associated with increased IHD mortality, and ventilated stove use dramatically reduced this risk (HR = 0.2, 95% CI 0.1-0.5). Higher cumulative exposure to smoky coal during follow-up showed positive associations with IHD mortality, but the evidence for other metrics was less consistent compared with associations with smokeless coal use. CONCLUSIONS Higher use of smokeless coal, which is burned throughout China and is generally regarded to be a cleaner fuel type, is associated with IHD mortality. Use of cleaner fuels or stove interventions may be effective in reducing the increasing burden of IHD in developing regions that currently rely on smokeless coal for cooking and heating.
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Affiliation(s)
- Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Bingshu E Chen
- Department of Public Health Sciences, Queen's University, Kingston, ON, Canada
| | - Hormuzd A Katki
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Bofu Ning
- Xuanwei Center for Disease Control and Prevention, Xuanwei, Qujing, Yunnan, China
| | - George S Downward
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Sanjiangdadao, Qujing, Yunnan, China
| | - Kaiyun Yang
- Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), Kunming, China
| | - Gong Yang
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Teja Nagaradona
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yunchao Huang
- Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), Kunming, China
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Wong JYY, Bassig BA, Loftfield E, Hu W, Freedman ND, Ji BT, Elliott P, Silverman DT, Chanock SJ, Rothman N, Lan Q. White Blood Cell Count and Risk of Incident Lung Cancer in the UK Biobank. JNCI Cancer Spectr 2019; 4:pkz102. [PMID: 33313477 DOI: 10.1093/jncics/pkz102] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2019] [Revised: 11/26/2019] [Accepted: 12/09/2019] [Indexed: 01/08/2023] Open
Abstract
Background The contribution of measurable immunological and inflammatory parameters to lung cancer development remains unclear, particularly among never smokers. We investigated the relationship between total and differential white blood cell (WBC) counts and incident lung cancer risk overall and among subgroups defined by smoking status and sex in the United Kingdom (UK). Methods We evaluated 424 407 adults aged 37-73 years from the UK Biobank. Questionnaires, physical measurements, and blood were administered and collected at baseline in 2006-2010. Complete blood cell counts were measured using standard methods. Lung cancer diagnoses and histological classifications were obtained from cancer registries. Multivariable Cox regression models were used to estimate the hazard ratio (HR) and 95% confidence intervals of incident lung cancer in relation to quartiles (Q) of total WBC and subtype-specific counts, with Q1 as the reference. Results There were 1493 incident cases diagnosed over an average 7-year follow-up. Overall, the highest quartile of total WBC count was statistically significantly associated with elevated lung cancer risk (HRQ4 = 1.67, 95% CI = 1.41 to 1.98). Among women, increased risks were found in current smokers (n cases / n = 244 / 19 464, HRQ4 = 2.15, 95% CI = 1.46 to 3.16), former smokers (n cases / n = 280 / 69 198, HRQ4 = 1.75, 95% CI = 1.24 to 2.47), and never smokers without environmental tobacco smoke exposure (ncases / n = 108 / 111 294, HRQ4 = 1.93, 95% CI = 1.11 to 3.35). Among men, stronger associations were identified in current smokers (ncase s / n = 329 / 22 934, HRQ4 = 2.95, 95% CI = 2.04 to 4.26) and former smokers (nc ases / n = 358/71 616, HRQ4 = 2.38, 95% CI = 1.74 to 3.27) but not in never smokers. Findings were similar for lung adenocarcinoma and squamous cell carcinoma and were driven primarily by elevated neutrophil fractions. Conclusions Elevated WBCs could potentially be one of many important markers for increased lung cancer risk, especially among never-smoking women and ever-smoking men.
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Affiliation(s)
- Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Erikka Loftfield
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Paul Elliott
- Faculty of Medicine, School of Public Health, Imperial College London, London, UK
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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Zheng T, Zhu C, Bassig BA, Liu S, Buka S, Zhang X, Truong A, Oh J, Fulton J, Dai M, Li N, Shi K, Qian Z, Boyle P. The long-term rapid increase in incidence of adenocarcinoma of the kidney in the USA, especially among younger ages. Int J Epidemiol 2019; 48:1886-1896. [PMID: 31317187 PMCID: PMC7967823 DOI: 10.1093/ije/dyz136] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/17/2019] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND We previously observed a rapid increase in the incidence of renal cell carcinoma (RCC) in men and women between 1935 and 1989 in the USA, using data from the Connecticut Tumor Registry. This increase appeared to be largely explained by a positive cohort effect, but no population-based study has been conducted to comprehensively examine age-period-cohort effects by histologic types for the past decade. METHODS We calculated age-adjusted and age-specific incidence rates of the two major kidney-cancer subtypes RCC and renal urothelial carcinoma, and conducted an age-period-cohort analysis of 114 138 incident cases of kidney cancer reported between 1992 and 2014 to the Surveillance, Epidemiology, and End Results programme. RESULTS The age-adjusted incidence rates of RCC have been increasing consistently in the USA among both men and women (from 12.18/100 000 in 1992-1994 to 18.35/100 000 in 2010-2014 among men; from 5.77/100 000 in 1992-1994 to 8.63/100 000 in 2010-2014 among women). Incidence rates generally increased in successive birth cohorts, with a continuing increase in rates among the younger age groups (ages 0-54 years) in both men and women and among both Whites and Blacks. These observations were confirmed by age-period-cohort modelling, which suggested an increasing birth-cohort trend for RCC beginning with 1955 birth cohorts, regardless of the assumed value for the period effect for both men and women and for Whites and Blacks. CONCLUSIONS Known risk factors for kidney cancer may not fully account for the observed increasing rates or the birth-cohort pattern for RCC, prompting the need for additional etiologic hypotheses (such as environmental exposures) to investigate these descriptive patterns.
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Affiliation(s)
| | - Cairong Zhu
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, NCI, Bethesda, MD, USA
| | - Simin Liu
- Brown School of Public Health, Providence, RI, USA
| | - Stephen Buka
- Brown School of Public Health, Providence, RI, USA
| | - Xichi Zhang
- George Washington University, Washington, DC, USA
| | | | - Junhi Oh
- Rhode Island Department of Health, Providence, RI, USA
| | - John Fulton
- Brown School of Public Health, Providence, RI, USA
| | - Min Dai
- China National Cancer Center, Beijing, 100021, China
| | - Ni Li
- China National Cancer Center, Beijing, 100021, China
| | - Kunchong Shi
- Brown School of Public Health, Providence, RI, USA
| | - Zhengmin Qian
- College for Public Health & Social Justice Saint Louis University, MO, USA
| | - Peter Boyle
- International Prevention Research Institute, Lyon, France
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29
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Dopart PJ, Locke SJ, Cocco P, Bassig BA, Josse PR, Stewart PA, Purdue MP, Lan Q, Rothman N, Friesen MC. Estimation of Source-Specific Occupational Benzene Exposure in a Population-Based Case-Control Study of Non-Hodgkin Lymphoma. Ann Work Expo Health 2019; 63:842-855. [PMID: 31504127 PMCID: PMC6788340 DOI: 10.1093/annweh/wxz063] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 05/21/2019] [Accepted: 07/22/2019] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVES Occupational exposures in population-based case-control studies are increasingly being assessed using decision rules that link participants' responses to occupational questionnaires to exposure estimates. We used a hierarchical process that incorporated decision rules and job-by-job expert review to assign occupational benzene exposure estimates in a US population-based case-control study of non-Hodgkin lymphoma. METHODS We conducted a literature review to identify scenarios in which occupational benzene exposure has occurred, which we grouped into 12 categories of benzene exposure sources. For each source category, we then developed decision rules for assessing probability (ordinal scale based on the likelihood of exposure > 0.02 ppm), frequency (proportion of work time exposed), and intensity of exposure (in ppm). The rules used the participants' occupational history responses and, for a subset of jobs, responses to job- and industry-specific modules. For probability and frequency, we used a hierarchical assignment procedure that prioritized subject-specific module information when available. Next, we derived job-group medians from the module responses to assign estimates to jobs with only occupational history responses. Last, we used job-by-job expert review to assign estimates when job-group medians were not available or when the decision rules identified possible heterogeneous or rare exposure scenarios. For intensity, we developed separate estimates for each benzene source category that were based on published measurement data whenever possible. Frequency and intensity annual source-specific estimates were assigned only for those jobs assigned ≥75% probability of exposure. Annual source-specific concentrations (intensity × frequency) were summed to obtain a total annual benzene concentration for each job. RESULTS Of the 8827 jobs reported by participants, 8% required expert review for one or more source categories. Overall, 287 (3.3%) jobs were assigned ≥75% probability of exposure from any benzene source category. The source categories most commonly assigned ≥75% probability of exposure were gasoline and degreasing. The median total annual benzene concentration among jobs assigned ≥75% probability was 0.11 ppm (interquartile range: 0.06-0.55). The highest source-specific median annual concentrations were observed for ink and printing (2.3 and 1.2 ppm, respectively). CONCLUSIONS The applied framework captures some subject-specific variability in work tasks, provides transparency to the exposure decision process, and facilitates future sensitivity analyses. The developed decision rules can be used as a starting point by other researchers to assess occupational benzene exposure in future population-based studies.
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Affiliation(s)
- Pamela J Dopart
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Sarah J Locke
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section, University of Cagliari, Monserrato, Italy
| | - Bryan A Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Pabitra R Josse
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology Genetics, National Cancer Institute, Bethesda, MD, USA
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30
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Seow WJ, Shu XO, Nicholson JK, Holmes E, Walker DI, Hu W, Cai Q, Gao YT, Xiang YB, Moore SC, Bassig BA, Wong JYY, Zhang J, Ji BT, Boulangé CL, Kaluarachchi M, Wijeyesekera A, Zheng W, Elliott P, Rothman N, Lan Q. Association of Untargeted Urinary Metabolomics and Lung Cancer Risk Among Never-Smoking Women in China. JAMA Netw Open 2019; 2:e1911970. [PMID: 31539079 PMCID: PMC6755532 DOI: 10.1001/jamanetworkopen.2019.11970] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE Chinese women have the highest rate of lung cancer among female never-smokers in the world, and the etiology is poorly understood. OBJECTIVE To assess the association between metabolomics and lung cancer risk among never-smoking women. DESIGN, SETTING, AND PARTICIPANTS This nested case-control study included 275 never-smoking female patients with lung cancer and 289 never-smoking cancer-free control participants from the prospective Shanghai Women's Health Study recruited from December 28, 1996, to May 23, 2000. Validated food frequency questionnaires were used for the collection of dietary information. Metabolomic analysis was conducted from November 13, 2015, to January 6, 2016. Data analysis was conducted from January 6, 2016, to November 29, 2018. EXPOSURES Untargeted ultra-high-performance liquid chromatography-tandem mass spectrometry and nuclear magnetic resonance metabolomic profiles were characterized using prediagnosis urine samples. A total of 39 416 metabolites were measured. MAIN OUTCOMES AND MEASURES Incident lung cancer. RESULTS Among the 564 women, those who developed lung cancer (275 participants; median [interquartile range] age, 61.0 [52-65] years) and those who did not develop lung cancer (289 participants; median [interquartile range] age, 62.0 [53-66] years) at follow-up (median [interquartile range] follow-up, 10.9 [9.0-11.7] years) were similar in terms of their secondhand smoke exposure, history of respiratory diseases, and body mass index. A peak metabolite, identified as 5-methyl-2-furoic acid, was significantly associated with lower lung cancer risk (odds ratio, 0.57 [95% CI, 0.46-0.72]; P < .001; false discovery rate = 0.039). Furthermore, this peak was weakly correlated with self-reported dietary soy intake (ρ = 0.21; P < .001). Increasing tertiles of this metabolite were associated with lower lung cancer risk (in comparison with first tertile, odds ratio for second tertile, 0.52 [95% CI, 0.34-0.80]; and odds ratio for third tertile, 0.46 [95% CI, 0.30-0.70]), and the association was consistent across different histological subtypes and follow-up times. Additionally, metabolic pathway analysis found several systemic biological alterations that were associated with lung cancer risk, including 1-carbon metabolism, nucleotide metabolism, oxidative stress, and inflammation. CONCLUSIONS AND RELEVANCE This prospective study of the untargeted urinary metabolome and lung cancer among never-smoking women in China provides support for the hypothesis that soy-based metabolites are associated with lower lung cancer risk in never-smoking women and suggests that biological processes linked to air pollution may be associated with higher lung cancer risk in this population.
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Affiliation(s)
- Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Jeremy K. Nicholson
- Biomolecular Medicine, Division of Computational and Systems Medicine, Medical Research Council–National Institute for Health Research National Phenome Centre, Imperial College London, United Kingdom
- Medical Research Council–PHE Centre for Environment and Health, Department of Surgery and Cancer, Imperial College London, United Kingdom
- Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
| | - Elaine Holmes
- Biomolecular Medicine, Division of Computational and Systems Medicine, Medical Research Council–National Institute for Health Research National Phenome Centre, Imperial College London, United Kingdom
- Medical Research Council–PHE Centre for Environment and Health, Department of Surgery and Cancer, Imperial College London, United Kingdom
- Health Futures Institute, Murdoch University, Murdoch, Western Australia, Australia
| | - Douglas I. Walker
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Yong-Bing Xiang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
- State Key Laboratory of Oncogene and Related Genes, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Steven C. Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Bryan A. Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Jason Y. Y. Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Jinming Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Claire L. Boulangé
- Biomolecular Medicine, Division of Computational and Systems Medicine, Medical Research Council–National Institute for Health Research National Phenome Centre, Imperial College London, United Kingdom
- Medical Research Council–PHE Centre for Environment and Health, Department of Surgery and Cancer, Imperial College London, United Kingdom
| | - Manuja Kaluarachchi
- Biomolecular Medicine, Division of Computational and Systems Medicine, Medical Research Council–National Institute for Health Research National Phenome Centre, Imperial College London, United Kingdom
- Medical Research Council–PHE Centre for Environment and Health, Department of Surgery and Cancer, Imperial College London, United Kingdom
| | - Anisha Wijeyesekera
- Biomolecular Medicine, Division of Computational and Systems Medicine, Medical Research Council–National Institute for Health Research National Phenome Centre, Imperial College London, United Kingdom
- Medical Research Council–PHE Centre for Environment and Health, Department of Surgery and Cancer, Imperial College London, United Kingdom
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Paul Elliott
- Biomolecular Medicine, Division of Computational and Systems Medicine, Medical Research Council–National Institute for Health Research National Phenome Centre, Imperial College London, United Kingdom
- Medical Research Council–PHE Centre for Environment and Health, Department of Surgery and Cancer, Imperial College London, United Kingdom
- MRC-PHE Centre for Environment and Health, School of Public Health, Department of Epidemiology and Biostatistics, Imperial College London, United Kingdom
- National Institute for Health Research, Imperial College Biomedical Research Centre, London, United Kingdom
- Health Data Research UK London at Imperial College London, United Kingdom
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland
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Vermeulen R, Downward GS, Zhang J, Hu W, Portengen L, Bassig BA, Hammond SK, Wong JYY, Li J, Reiss B, He J, Tian L, Yang K, Seow WJ, Xu J, Anderson K, Ji BT, Silverman D, Chanock S, Huang Y, Rothman N, Lan Q. Constituents of Household Air Pollution and Risk of Lung Cancer among Never-Smoking Women in Xuanwei and Fuyuan, China. Environ Health Perspect 2019; 127:97001. [PMID: 31487206 PMCID: PMC6792381 DOI: 10.1289/ehp4913] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
BACKGROUND Lung cancer rates among never-smoking women in Xuanwei and Fuyuan in China are among the highest in the world and have been attributed to the domestic use of smoky (bituminous) coal for heating and cooking. However, the key components of coal that drive lung cancer risk have not been identified. OBJECTIVES We aimed to investigate the relationship between lifelong exposure to the constituents of smoky coal (and other fuel types) and lung cancer. METHODS Using a population-based case-control study of lung cancer among 1,015 never-smoking female cases and 485 controls, we examined the association between exposure to 43 household air pollutants and lung cancer. Pollutant predictions were derived from a comprehensive exposure assessment study, which included methylated polycyclic aromatic hydrocarbons (PAHs), which have never been directly evaluated in an epidemiological study of any cancer. Hierarchical clustering and penalized regression were applied in order to address high colinearity in exposure variables. RESULTS The strongest association with lung cancer was for a cluster of 25 PAHs [odds ratio (OR): 2.21; 95% confidence interval (CI): 1.67, 2.87 per 1 standard deviation (SD) change], within which 5-methylchrysene (5-MC), a mutagenic and carcinogenic PAH, had the highest individual observed OR (5.42; 95% CI: 0.94, 27.5). A positive association with nitrogen dioxide ([Formula: see text]) was also observed (OR: 2.06; 95% CI: 1.19, 3.49). By contrast, neither benzo(a)pyrene (BaP) nor fine particulate matter with aerodynamic diameter [Formula: see text] ([Formula: see text]) were associated with lung cancer in the multipollutant models. CONCLUSIONS To our knowledge, this is the first study to comprehensively evaluate the association between lung cancer and household air pollution (HAP) constituents estimated over the entire life course. Given the global ubiquity of coal use domestically for indoor cooking and heating and commercially for electric power generation, our study suggests that more extensive monitoring of coal combustion products, including methylated PAHs, may be warranted to more accurately assess health risks and develop prevention strategies from this exposure. https://doi.org/10.1289/EHP4913.
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Affiliation(s)
- Roel Vermeulen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, Netherlands
| | - George S Downward
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, Netherlands
| | - Jinming Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, Netherlands
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - S Katharine Hammond
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, California, USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Qujing, Yunnan, China
| | - Boris Reiss
- Department of Community, Environment & Policy, Mel & Enid Zuckerman College of Public Health, University of Arizona, Arizona, USA
| | - Jun He
- Qujing Center for Diseases Control and Prevention, Qujing, Yunnan, China
| | - Linwei Tian
- Division of Epidemiology and Biostatistics, School of Public Health, University of Hong Kong, Hong Kong, China
| | - Kaiyun Yang
- Department of Thoracic Surgery, Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, Yunnan, China
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Jun Xu
- School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
| | - Kim Anderson
- Department of Environmental and Molecular Toxicology, College of Agricultural Sciences, Oregon State University, Corvallis, Oregon, USA
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Debra Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Yunchao Huang
- Department of Thoracic Surgery, Third Affiliated Hospital of Kunming Medical University (Yunnan Cancer Hospital, Yunnan Cancer Center), Kunming, Yunnan, China
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
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Wong JYY, Zhang H, Hsiung CA, Shiraishi K, Yu K, Matsuo K, Wong MP, Hong YC, Wang J, Seow WJ, Wang Z, Song M, Kim HN, Chang IS, Chatterjee N, Hu W, Wu C, Mitsudomi T, Zheng W, Kim JH, Seow A, Caporaso NE, Shin MH, Chung LP, An SJ, Wang P, Yang Y, Zheng H, Yatabe Y, Zhang XC, Kim YT, Cai Q, Yin Z, Kim YC, Bassig BA, Chang J, Ho JCM, Ji BT, Daigo Y, Ito H, Momozawa Y, Ashikawa K, Kamatani Y, Honda T, Hosgood HD, Sakamoto H, Kunitoh H, Tsuta K, Watanabe SI, Kubo M, Miyagi Y, Nakayama H, Matsumoto S, Tsuboi M, Goto K, Shi J, Song L, Hua X, Takahashi A, Goto A, Minamiya Y, Shimizu K, Tanaka K, Wei F, Matsuda F, Su J, Kim YH, Oh IJ, Song F, Su WC, Chen YM, Chang GC, Chen KY, Huang MS, Chien LH, Xiang YB, Park JY, Kweon SS, Chen CJ, Lee KM, Blechter B, Li H, Gao YT, Qian B, Lu D, Liu J, Jeon HS, Hsiao CF, Sung JS, Tsai YH, Jung YJ, Guo H, Hu Z, Wang WC, Chung CC, Burdett L, Yeager M, Hutchinson A, Berndt SI, Wu W, Pang H, Li Y, Choi JE, Park KH, Sung SW, Liu L, Kang CH, Zhu M, Chen CH, Yang TY, Xu J, Guan P, Tan W, Wang CL, Hsin M, Sit KY, Ho J, Chen Y, Choi YY, Hung JY, Kim JS, Yoon HI, Lin CC, Park IK, Xu P, Wang Y, He Q, Perng RP, Chen CY, Vermeulen R, Wu J, Lim WY, Chen KC, Li YJ, Li J, Chen H, Yu CJ, Jin L, Chen TY, Jiang SS, Liu J, Yamaji T, Hicks B, Wyatt K, Li SA, Dai J, Ma H, Jin G, Song B, Wang Z, Cheng S, Li X, Ren Y, Cui P, Iwasaki M, Shimazu T, Tsugane S, Zhu J, Chen Y, Yang K, Jiang G, Fei K, Wu G, Lin HC, Chen HL, Fang YH, Tsai FY, Hsieh WS, Yu J, Stevens VL, Laird-Offringa IA, Marconett CN, Rieswijk L, Chao A, Yang PC, Shu XO, Wu T, Wu YL, Lin D, Chen K, Zhou B, Huang YC, Kohno T, Shen H, Chanock SJ, Rothman N, Lan Q. Tuberculosis infection and lung adenocarcinoma: Mendelian randomization and pathway analysis of genome-wide association study data from never-smoking Asian women. Genomics 2019; 112:1223-1232. [PMID: 31306748 DOI: 10.1016/j.ygeno.2019.07.008] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 06/26/2019] [Accepted: 07/11/2019] [Indexed: 12/24/2022]
Abstract
We investigated whether genetic susceptibility to tuberculosis (TB) influences lung adenocarcinoma development among never-smokers using TB genome-wide association study (GWAS) results within the Female Lung Cancer Consortium in Asia. Pathway analysis with the adaptive rank truncated product method was used to assess the association between a TB-related gene-set and lung adenocarcinoma using GWAS data from 5512 lung adenocarcinoma cases and 6277 controls. The gene-set consisted of 31 genes containing known/suggestive associations with genetic variants from previous TB-GWAS. Subsequently, we followed-up with Mendelian Randomization to evaluate the association between TB and lung adenocarcinoma using three genome-wide significant variants from previous TB-GWAS in East Asians. The TB-related gene-set was associated with lung adenocarcinoma (p = 0.016). Additionally, the Mendelian Randomization showed an association between TB and lung adenocarcinoma (OR = 1.31, 95% CI: 1.03, 1.66, p = 0.027). Our findings support TB as a causal risk factor for lung cancer development among never-smoking Asian women.
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Affiliation(s)
- Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
| | - Han Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Chao A Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Kouya Shiraishi
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Maria Pik Wong
- Department of Pathology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jiucun Wang
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Zhaoming Wang
- Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, MD, USA; Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Minsun Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Department of Statistics, Sookmyung Women's University, Seoul, Republic of Korea
| | - Hee Nam Kim
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - I-Shou Chang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Chen Wu
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tetsuya Mitsudomi
- Division of Thoracic Surgery, Kinki University School of Medicine, Sayama, Japan
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Jin Hee Kim
- Department of Integrative Bioscience & Biotechnology, Sejong University, Seoul, Republic of Korea
| | - Adeline Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Lap Ping Chung
- Department of Pathology, Queen Mary Hospital, The University of Hong Kong, Hong Kong
| | - She-Juan An
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ping Wang
- Department of Radiotherapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
| | - Yang Yang
- Shanghai Pulmonary Hospital, Shanghai, China
| | - Hong Zheng
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yasushi Yatabe
- Department of Pathology and Molecular Diagnostics, Aichi Cancer Center Central Hospital, Nagoya, Japan
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Young Tae Kim
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Zhihua Yin
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Young-Chul Kim
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasun-eup, Republic of Korea; Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jiang Chang
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - James Chung Man Ho
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Pokfulam Road, Hong Kong
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Yataro Daigo
- Department of Medical Oncology and Cancer Center, Shiga University of Medical Science, Otsu, Japan; Center for Antibody and Vaccine Therapy, Research Hospital, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan; Department of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Kyota Ashikawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Takayuki Honda
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Hiromi Sakamoto
- Division of Genetics, National Cancer Center Research Institute, Tokyo, Japan
| | - Hideo Kunitoh
- Department of Medical Oncology, Japanese Red Cross Medical Center, Tokyo, Japan
| | - Koji Tsuta
- Department of Pathology and Laboratory Medicine, Kansai Medical University, Osaka, Japan
| | - Shun-Ichi Watanabe
- Division of Thoracic Surgery, National Cancer Center Hospital, Tokyo, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Yohei Miyagi
- Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Kanagawa, Japan
| | - Haruhiko Nakayama
- Department of Thoracic Surgery, Kanagawa Cancer Center, Kanagawa, Japan
| | - Shingo Matsumoto
- Division of Translational Research, Exploratory Oncology Research and Clinical Trial Center (EPOC), National Cancer Center, Chiba, Japan
| | - Masahiro Tsuboi
- Department of Thoracic Surgery, National Cancer Center Hospital East, Chiba, Japan
| | - Koichi Goto
- Department of Thoracic Oncology, National Cancer Center Hospital East, Japan
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Xing Hua
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Department of Genomic Medicine, Research Institute, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Akiteru Goto
- Department of Cellular and Organ Pathology, Graduate School of Medicine, Akita University, Akita City, Japan
| | - Yoshihiro Minamiya
- Department of Thoracic Surgery, Graduate School of Medicine, Akita University, Akita City, Japan
| | - Kimihiro Shimizu
- Department of Integrative Center of General Surgery, Gunma University Hospital, Gunma, Japan
| | - Kazumi Tanaka
- Department of Integrative Center of General Surgery, Gunma University Hospital, Gunma, Japan
| | - Fusheng Wei
- China National Environmental Monitoring Center, Beijing, China
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Jian Su
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Yeul Hong Kim
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - In-Jae Oh
- Lung and Esophageal Cancer Clinic, Chonnam National University Hwasun Hospital, Hwasun-eup, Republic of Korea; Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Fengju Song
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Wu-Chou Su
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Yu-Min Chen
- Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Gee-Chen Chang
- School of Medicine, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Kuan-Yu Chen
- Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Ming-Shyan Huang
- Department of Internal Medicine, E-Da Cancer Hospital, School of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Li-Hsin Chien
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jae Yong Park
- Lung Cancer Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea; Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun-eup, Republic of Korea
| | - Chien-Jen Chen
- Genomic Research Center, Academia Sinica, Taipei, Taiwan
| | - Kyoung-Mu Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Department of Environmental Health, Korea National Open University, Seoul, Republic of Korea
| | - Batel Blechter
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Haixin Li
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China
| | - Biyun Qian
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Daru Lu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Human Genetics, Genome Institute of Singapore, Singapore; School of Life Sciences, Anhui Medical University, Hefei, China
| | - Hyo-Sung Jeon
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Chin-Fu Hsiao
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Jae Sook Sung
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Ying-Huang Tsai
- Division of Pulmonary and Critical Care Medicine, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan
| | - Yoo Jin Jung
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Huan Guo
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Zhibin Hu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wen-Chang Wang
- The Ph.D. Program for Translational Medicine, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, MD, USA
| | - Laurie Burdett
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, MD, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wei Wu
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Herbert Pang
- School of BioMedical Sciences, The University of Hong Kong, Hong Kong
| | - Yuqing Li
- Cancer Prevention Institute of California, Fremont, CA, USA
| | - Jin Eun Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Kyong Hwa Park
- Department of Internal Medicine, Division of Oncology/Hematology, College of Medicine, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Sook Whan Sung
- Department of Thoracic and Cardiovascular Surgery, Seoul St Mary's Hospital, The Catholic University of Korea, Republic of Korea
| | - Li Liu
- Department of Oncology, Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - C H Kang
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Chung-Hsing Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Tsung-Ying Yang
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Jun Xu
- School of Public Health, Li Ka Shing (LKS) Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China; Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Wen Tan
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chih-Liang Wang
- Department of Pulmonary and Critical Care, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Michael Hsin
- Department of Cardiothoracic Surgery, Queen Mary Hospital, The University of Hong Kong, China
| | - Ko-Yung Sit
- Department of Cardiothoracic Surgery, Queen Mary Hospital, The University of Hong Kong, China
| | - James Ho
- Department of Medicine, The University of Hong Kong, China
| | - Ying Chen
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Yi Young Choi
- Cancer Research Center, Kyungpook National University Medical Center, Daegu, Republic of Korea
| | - Jen-Yu Hung
- Department of Internal Medicine, E-Da Cancer Hospital, School of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Jun Suk Kim
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Ho Il Yoon
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Chien-Chung Lin
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - In Kyu Park
- Department of Thoracic and Cardiovascular Surgery, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ping Xu
- Department of Oncology, Wuhan Iron and Steel Corporation Staff Worker Hospital, Wuhan, China
| | - Yuzhuo Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qincheng He
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | | | - Chih-Yi Chen
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan; Division of Thoracic Surgery, Department of Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Junjie Wu
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | | | - Kun-Chieh Chen
- Division of Chest Medicine, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yao-Jen Li
- Genomic Research Center, Academia Sinica, Taipei, Taiwan
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Sanjiangdadao, Qujing, China
| | - Hongyan Chen
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University College of Medicine, Taipei, Taiwan
| | - Li Jin
- Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China
| | - Tzu-Yu Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Shih-Sheng Jiang
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Jie Liu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Taiki Yamaji
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, MD, USA
| | - Kathleen Wyatt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, MD, USA
| | - Shengchao A Li
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA; Cancer Genomics Research Laboratory, Leidos Biomedical Research Inc, Gaithersburg, MD, USA
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Guangfu Jin
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Bao Song
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Zhehai Wang
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Sensen Cheng
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Xuelian Li
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China; Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Yangwu Ren
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China; Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, China
| | - Ping Cui
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Motoki Iwasaki
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taichi Shimazu
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Shoichiro Tsugane
- Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Junjie Zhu
- Shanghai Pulmonary Hospital, Shanghai, China
| | - Ying Chen
- Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Kaiyun Yang
- Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | | | - Ke Fei
- Shanghai Pulmonary Hospital, Shanghai, China
| | - Guoping Wu
- China National Environmental Monitoring Center, Beijing, China
| | - Hsien-Chin Lin
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Hui-Ling Chen
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Yao-Huei Fang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Fang-Yu Tsai
- National Institute of Cancer Research, National Health Research Institutes, Zhunan, Taiwan
| | - Wan-Shan Hsieh
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan
| | - Jinming Yu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong Academy of Medical Sciences, Jinan, China
| | - Victoria L Stevens
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, GA, USA
| | - Ite A Laird-Offringa
- Department of Surgery, Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Crystal N Marconett
- Department of Surgery, Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Linda Rieswijk
- Environmental Health Sciences Division, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Ann Chao
- Center for Global Health, National Cancer Institute, Bethesda, MD, USA
| | - Pan-Chyr Yang
- Department of Internal Medicine, National Taiwan University Hospital and College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Tangchun Wu
- Department of Occupational and Environmental Health and Ministry of Education Key Lab for Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Y L Wu
- Guangdong Lung Cancer Institute, Medical Research Center and Cancer Center of Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dongxin Lin
- Department of Etiology & Carcinogenesis and State Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Baosen Zhou
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Yun-Chao Huang
- Department of Thoracic Surgery, the Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Takashi Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo, Japan
| | - Hongbing Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China; Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center For Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Hu W, Bassig BA, Dai Y, Ren D, Duan H, Niu Y, Xu J, Fu W, Meliefste K, Zhou B, Yang J, Ye M, Jia X, Meng T, Bin P, Wong JYY, Hosgood DH, Rothman N, Vermeulen RC, Silverman DT, Zheng Y, Lan Q. Abstract 597: Occupational exposure to diesel engine exhaust and alternations in serum microRNAs. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Diesel engine exhaust (DEE) is a known lung carcinogen and may be associated with other tumors, however, the mechanisms of action by which DEE causes cancer is not well understood. MicroRNAs (miRNAs), which are small non-coding RNA molecules that play a role in post-transcriptional regulation of gene expression, are altered in multiple tumors and have been observed to be differentially expressed in a variety of biospecimen types in smokers as well as in relation to short-term air pollution exposure. To evaluate whether serum levels of miRNAs are altered in healthy workers occupationally exposed to DEE, we analyzed samples collected in a cross-sectional molecular epidemiology study of diesel engine truck testing facility workers and comparable unexposed controls in China. A panel of 44 miRNAs were measured in 46 workers exposed to relatively high air levels of DEE and 45 controls using the Fireplex circulating miRNA assay (Abcam, Inc.), which profiles miRNAs directly from biofluids. The exposure-response relationship between categorical EC levels and each miRNA was analyzed by linear regression adjusted for age, body mass index, smoking status, current alcohol use and recent infection. We identified two miRNAs that showed a monotonic inverse exposure-response association with DEE: miR-191-5p and miR-93-5p. Levels of miR-191-5p in arbitrary units (A.U.) of fluorescence were 400.7, 333.0, 322.6, and 260.0 in controls and across increasing tertiles of EC, respectively (p for trend = 0.001, FDR = 0.05). Levels of miR-93-5p were 747.1, 713.7, 720.5, and 625.4 A.U. in controls and increasing tertiles of EC, respectively (p for trend = 0.008, FDR = 0.18). Both miRNAs have been reported to influence several biological processes important in carcinogenesis. Our results suggest that occupational exposure to DEE may affect circulating miRNAs in healthy workers.
Citation Format: Wei Hu, Bryan A. Bassig, Yufei Dai, Dianzhi Ren, Huawei Duan, Yong Niu, Jun Xu, Wei Fu, Kees Meliefste, Baosen Zhou, Jufang Yang, Meng Ye, Xiaowei Jia, Tao Meng, Ping Bin, Jason YY Wong, Dean H. Hosgood, Nathaniel Rothman, Roel C. Vermeulen, Debra T. Silverman, Yuxin Zheng, Qing Lan. Occupational exposure to diesel engine exhaust and alternations in serum microRNAs [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 597.
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Affiliation(s)
- Wei Hu
- 1National Cancer Institute, Rockville, MD
| | | | - Yufei Dai
- 2Chinese Center for Disease Control and Prevention, Beijing, China
| | - Dianzhi Ren
- 3Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - Huawei Duan
- 2Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- 2Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Xu
- 4The University of Hong Kong, Hong Kong, Hong Kong
| | - Wei Fu
- 3Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | | | | | - Jufang Yang
- 3Chaoyang Center for Disease Control and Prevention, Chaoyang, China
| | - Meng Ye
- 2Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- 2Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- 2Chinese Center for Disease Control and Prevention, Beijing, China
| | - Ping Bin
- 2Chinese Center for Disease Control and Prevention, Beijing, China
| | | | | | | | | | | | | | - Qing Lan
- 1National Cancer Institute, Rockville, MD
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Bassig BA, Shu XO, Sjodin A, Koh WP, Gao YT, Adams-Haduch J, Davis M, Wang R, Xiang YB, Purdue M, Ji BT, Yang G, Jones R, Hosgood HD, Seow WJ, Hu W, Zheng W, Yuan JM, Lan Q, Rothman N. Abstract 5043: Pre-diagnostic blood levels of organochlorines and risk of non-Hodgkin lymphoma in three population-based cohorts in China and Singapore. Cancer Res 2019. [DOI: 10.1158/1538-7445.am2019-5043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Organochlorines (OCs) are environmentally persistent compounds that have been extensively used as pesticides and for other industrial applications. Residues of OCs have been detected at hazardous waste sites and in various environmental media worldwide and serum levels of OCs continue to be detectable in the general population. Specific OCs have been associated with non-Hodgkin lymphoma (NHL) risk with varying degrees of evidence. These associations have not been evaluated in Asia, where the exposure patterns of substantially high levels of certain OC pesticides and lower levels of polychlorinated biphenyls (PCBs) are different from Western populations. China accounted for nearly 20% of the worldwide production of dichlorodiphenyltrichloroethane (DDT) through 1983 when it was restricted, and historical usage of hexachlorocyclohexane (HCH) in China has been among the highest in the world.
Methods: We evaluated the risk of NHL in relation to pre-diagnostic blood levels of five OC pesticides/metabolites (hexachlorobenzene, β-HCH, oxychlordane, trans-nonachlor, and p,p’-DDE, the primary metabolite of DDT) and four PCB congeners (118, 138-158, 153, 180) in a case-control study of 167 NHL cases and 167 controls matched on age, sex, and blood collection date. The study was nested within three population-based cohorts of Chinese men and women in Shanghai and Singapore. Associations between lipid-adjusted OC concentrations and NHL risk were analyzed using conditional logistic regression.
Results: Median levels of p,p’-DDE and β-HCH were up to 12 and 65 times higher, respectively, in Shanghai (blood collected between 1986-2000) compared to reported levels in population-based cohorts in the United States (CLUE; Nurse’s Health Study) and Norway (Janus) with blood collected between 1972-1990. Median levels of p,p’-DDE and β-HCH were more comparable in Singapore (blood collected between 2000-2004) relative to the Western cohorts (1-2 fold concentration differences). Levels of β-HCH were associated with increased risk of overall NHL (3rd vs. 1st tertile OR=1.78, 95%CI=0.98-3.23; ptrend =0.049) in the pooled analysis of three cohorts. No significant associations were observed for other OCs and NHL risk, including for p,p’-DDE. Results for β-HCH and p,p’-DDE were consistent across cohorts.
Discussion: Associations between β-HCH and NHL risk have not been consistent in studies of Western populations. Our findings provide the first evidence suggesting associations between blood levels of β-HCH and NHL risk in a population in Asia that experienced far higher exposures. Although there is limited evidence that DDT (IARC Group 2A) is associated with NHL based on studies in Western populations, our findings among Asians, who had higher p,p’-DDE levels than reported in the general population in the West, do not support an association with environmental exposure.
Citation Format: Bryan A. Bassig, Xiao-Ou Shu, Andreas Sjodin, Woon-Puay Koh, Yu-Tang Gao, Jennifer Adams-Haduch, Mark Davis, Renwei Wang, Yong-Bing Xiang, Mark Purdue, Bu-Tian Ji, Gong Yang, Richard Jones, H. Dean Hosgood, Wei Jie Seow, Wei Hu, Wei Zheng, Jian-Min Yuan, Qing Lan, Nathaniel Rothman. Pre-diagnostic blood levels of organochlorines and risk of non-Hodgkin lymphoma in three population-based cohorts in China and Singapore [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 5043.
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Affiliation(s)
| | | | - Andreas Sjodin
- 3Centers for Disease Control and Prevention, Atlanta, GA
| | - Woon-Puay Koh
- 4Saw Swee Hock School of Public Health, Singapore, Singapore
| | | | | | - Mark Davis
- 3Centers for Disease Control and Prevention, Atlanta, GA
| | - Renwei Wang
- 6University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | | | | | | | - Gong Yang
- 2Vanderbilt University, Nashville, TN
| | - Richard Jones
- 3Centers for Disease Control and Prevention, Atlanta, GA
| | | | - Wei Jie Seow
- 4Saw Swee Hock School of Public Health, Singapore, Singapore
| | | | - Wei Zheng
- 2Vanderbilt University, Nashville, TN
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Phillips RV, Rieswijk L, Hubbard AE, Vermeulen R, Zhang J, Hu W, Li L, Bassig BA, Wong JYY, Reiss B, Huang Y, Wen C, Purdue M, Tang X, Zhang L, Smith MT, Rothman N, Lan Q. Human exposure to trichloroethylene is associated with increased variability of blood DNA methylation that is enriched in genes and pathways related to autoimmune disease and cancer. Epigenetics 2019; 14:1112-1124. [PMID: 31241004 DOI: 10.1080/15592294.2019.1633866] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Human exposure to trichloroethylene (TCE) is linked to kidney cancer, autoimmune diseases, and probably non-Hodgkin lymphoma. Additionally, TCE exposed mice and cell cultures show altered DNA methylation. To evaluate associations between TCE exposure and DNA methylation in humans, we conducted an epigenome-wide association study (EWAS) in TCE exposed workers using the HumanMethylation450 BeadChip. Across individual CpG probes, genomic regions, and globally (i.e., the 450K methylome), we investigated differences in mean DNA methylation and differences in variability of DNA methylation between 73 control (< 0.005 ppm TCE), 30 lower exposed (< 10 ppm TCE), and 37 higher exposed ( ≥ 10 ppm TCE) subjects' white blood cells. We found that TCE exposure increased methylation variation globally (Kruskal-Wallis p-value = 3.75e-3) and in 25 CpG sites at a genome-wide significance level (Bonferroni p-value < 0.05). We identified a 609 basepair region in the TRIM68 gene promoter that exhibited hypomethylation with increased exposure to TCE (FWER = 1.20e-2). Also, genes that matched to differentially variable CpGs were enriched in the 'focal adhesion' biological pathway (p-value = 2.80e-2). All in all, human exposure to TCE was associated with epigenetic alterations in genes involved in cell-matrix adhesions and interferon subtype expression, which are important in the development of autoimmune diseases; and in genes related to cancer development. These results suggest that DNA methylation may play a role in the pathogenesis of TCE exposure-related diseases and that TCE exposure may contribute to epigenetic drift.
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Affiliation(s)
- Rachael V Phillips
- School of Public Health, University of California at Berkeley , Berkeley , CA , USA
| | - Linda Rieswijk
- School of Public Health, University of California at Berkeley , Berkeley , CA , USA
| | - Alan E Hubbard
- School of Public Health, University of California at Berkeley , Berkeley , CA , USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, University of Utrecht , Utrecht , The Netherlands
| | - Jinming Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville , MD , USA
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville , MD , USA
| | - Laiyu Li
- Guangdong Poisoning Control Center , Guangzhou , China
| | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville , MD , USA
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville , MD , USA
| | - Boris Reiss
- Department of Community, Environment and Policy, Mel and Enid Zuckerman College of Public Health, University of Arizona , Tucson , AZ , USA
| | | | - Cuiju Wen
- Guangdong Poisoning Control Center , Guangzhou , China
| | - Mark Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville , MD , USA
| | - Xiaojiang Tang
- Guangdong Medical Laboratory Animal Center , Guangdong , China
| | - Luoping Zhang
- School of Public Health, University of California at Berkeley , Berkeley , CA , USA
| | - Martyn T Smith
- School of Public Health, University of California at Berkeley , Berkeley , CA , USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville , MD , USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville , MD , USA
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Lee KM, Bassig BA, Zhang L, Vermeulen RC, Hu W, Wong JYY, Qiu C, Wen C, Huang Y, Purdue MP, Ji BT, Li L, Tang X, Rothman N, Smith MT, Lan Q. Association between occupational exposure to trichloroethylene and serum levels of microRNAs: a cross-sectional molecular epidemiology study in China. Int Arch Occup Environ Health 2019; 92:1077-1085. [PMID: 31161417 DOI: 10.1007/s00420-019-01448-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2018] [Accepted: 05/28/2019] [Indexed: 01/27/2023]
Abstract
OBJECTIVES The objective of our study was to evaluate the association between occupational exposure to trichloroethylene (TCE), a suspected lymphomagen, and serum levels of miRNAs in a cross-sectional molecular epidemiology study of TCE-exposed workers and comparable unexposed controls in China. METHODS Serum levels of 40 miRNAs were compared in 74 workers exposed to TCE (median: 12 ppm) and 90 unexposed control workers. Linear regression models were used to test for differences in serum miRNA levels between exposed and unexposed workers and to evaluate exposure-response relationships across TCE exposure categories using a three-level ordinal variable [i.e., unexposed, < 12 ppm, the median value among workers exposed to TCE) and ≥ 12 ppm)]. Models were adjusted for sex, age, current smoking, current alcohol use, and recent infection. RESULTS Seven miRNAs showed significant differences between exposed and unexposed workers at FDR (false discovery rate) < 0.20. miR-150-5p and let-7b-5p also showed significant inverse exposure-response associations with TCE exposure (Ptrend= 0.002 and 0.03, respectively). The % differences in serum levels of miR-150-5p relative to unexposed controls were - 13% and - 20% among workers exposed to < 12 ppm and ≥ 12 ppm TCE, respectively. CONCLUSIONS miR-150-5p is involved in B cell receptor pathways and let-7b-5p plays a role in the innate immune response processes that are potentially important in the etiology of non-Hodgkin lymphoma (NHL). Further studies are needed to replicate these findings and to directly test the association between serum levels of these miRNAs and risk of NHL in prospective studies.
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Affiliation(s)
- Kyoung-Mu Lee
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA.
- Department of Environmental Health, Korea National Open University, Seoul, Korea.
| | - Bryan A Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Luoping Zhang
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Roel C Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Services, Utrecht University, Utrecht, The Netherlands
| | - Wei Hu
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Jason Y Y Wong
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Chuangyi Qiu
- Guangdong Poison Control Center, Guangzhou, China
| | - Cuiju Wen
- Guangdong Poison Control Center, Guangzhou, China
| | | | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Bu-Tian Ji
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Laiyu Li
- Guangdong Poison Control Center, Guangzhou, China
| | - Xiaojiang Tang
- Guangdong Medical Laboratory Animal Center, Foshan, Guangdong, China
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA
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37
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Lee KM, Zhang L, Vermeulen R, Hu W, Bassig BA, Wong JJ, Qiu C, Purdue M, Wen C, Walker DI, Jones DP, Li L, Huang Y, Rothman N, Smith MT, Lan Q. Alterations in immune and renal biomarkers among workers occupationally exposed to low levels of trichloroethylene below current regulatory standards. Occup Environ Med 2019; 76:376-381. [PMID: 30971425 DOI: 10.1136/oemed-2018-105583] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 02/22/2019] [Accepted: 03/02/2019] [Indexed: 02/06/2023]
Abstract
OBJECTIVES The occupational exposure limit for trichloroethylene (TCE) in different countries varies from 1 to 100 ppm as an 8-hour time-weighted average (TWA). Many countries currently use 10 ppm as the regulatory standard for occupational exposures, but the biological effects in humans at this level of exposure remain unclear. The objective of our study was to evaluate alterations in immune and renal biomarkers among workers occupationally exposed to low levels of TCE below current regulatory standards. METHODS We conducted a cross-sectional molecular epidemiology study of 80 healthy workers exposed to a wide range of TCE (ie, 0.4-229 ppm) and 96 comparable unexposed controls in China, and previously reported that TCE exposure was associated with multiple candidate biological markers related to immune function and kidney toxicity. Here, we conducted further analyses of all of the 31 biomarkers that we have measured to determine the magnitude and statistical significance of changes in the subgroup of workers (n=35) exposed to <10 ppm TCE compared with controls. RESULTS Six immune biomarkers (ie, CD4+ effector memory T cells, sCD27, sCD30, interleukin-10, IgG and IgM) were significantly decreased (% difference ranged from -16.0% to -72.1%) and one kidney toxicity marker (kidney injury molecule-1, KIM-1) was significantly increased (% difference: +52.5%) among workers exposed to <10 ppm compared with the control group. These associations remained noteworthy after taking into account multiple comparisons using the false discovery rate (ie, <0.20). CONCLUSION Our results suggest that occupational exposure to TCE below 10 ppm as an 8-hour TWA may alter levels of key markers of immune function and kidney toxicity.
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Affiliation(s)
- Kyoung-Mu Lee
- Department of Environmental Health, Korea National Open University, Seoul, The Republic of Korea.,Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland, USA
| | - Luoping Zhang
- School of Public Health, University of California Berkeley, Berkeley, California, USA
| | - Roel Vermeulen
- Department of IRAS, Utrecht University, Utrecht, The Netherlands
| | - Wei Hu
- National Cancer Institute, Rockville, Maryland, USA
| | | | - Jason Jj Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland, USA
| | - Chuangyi Qiu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland, USA.,Guangdong Poison Control Center, Guangzhou, China
| | | | - Cuiju Wen
- Guangdong Poison Control Center, Guangzhou, China
| | - Douglas I Walker
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Dean P Jones
- Division of Pulmonary, Allergy and Critical Medicine, Emory University, Atlanta, Georgia
| | - Laiyu Li
- Guangdong Medical Laboratory Animal Center, Foshan City, Guangdong, China
| | | | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Georgia, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, Maryland, USA
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Bassig BA, Engel LS, Langseth H, Grimsrud TK, Cantor KP, Vermeulen R, Purdue MP, Barr DB, Wong JYY, Blair A, Rothman N, Lan Q. Pre-diagnostic serum concentrations of organochlorines and risk of acute myeloid leukemia: A nested case-control study in the Norwegian Janus Serum Bank Cohort. Environ Int 2019; 125:229-235. [PMID: 30721827 DOI: 10.1016/j.envint.2019.01.066] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Revised: 01/22/2019] [Accepted: 01/24/2019] [Indexed: 06/09/2023]
Abstract
BACKGROUND Epidemiologic studies suggest an increased risk of leukemia among individuals occupationally exposed to some organochlorine (OC) compounds. Associations between serum OC pesticide and polychlorinated biphenyl (PCB) levels and risk of acute myeloid leukemia (AML), the most common subtype of acute leukemia in adult populations, have not been evaluated prospectively in the general population. OBJECTIVE We evaluated the risk of AML in relation to pre-diagnostic serum levels of OC pesticides and PCBs in a case-control study nested within the Janus Serum Bank Cohort. METHODS Janus is a large population-based cohort containing biologic samples collected beginning in the early 1970s from ~318,000 individuals in Norway. Serum levels of 11 OC pesticides or their metabolites and 34 PCB congeners were measured in 56 AML cases and 288 controls. Conditional logistic regression was conducted to evaluate associations between lipid-adjusted serum OC levels and risk of AML. RESULTS Higher serum levels of total chlordane/heptachlor metabolites were associated with AML risk (3rd vs. 1st tertile odds ratio (OR) = 2.26, 95% confidence interval (CI) = 0.91-5.63; ptrend = 0.11). Significant exposure-response associations were observed for levels of heptachlor epoxide (3rd vs. 1st tertile OR = 2.85, 95% CI = 1.05-7.73; ptrend = 0.02) and dieldrin (3rd vs. 1st tertile OR = 2.71, 95% CI = 1.07-6.83; ptrend = 0.03). No significant exposure-response associations with AML risk were observed for total DDT or individual isomers and derivatives. Higher serum levels of p,p'-DDT showed a non-significant increase in risk, but the exposure-response became attenuated when co-adjusting for heptachlor epoxide or dieldrin levels. Serum PCB levels were not significantly associated with AML risk. CONCLUSIONS Our data suggest that higher serum levels of dieldrin and metabolites derived from chlordane/heptachlor are associated with risk of AML in the general Norwegian population, based on samples collected on average ~17 years before diagnosis. Further research in populations with historically high or recent exposure to DDT is warranted to assess the association with AML risk with body burden of specific DDT isomers and derivatives.
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Affiliation(s)
- Bryan A Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Lawrence S Engel
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - Hilde Langseth
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Tom K Grimsrud
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway
| | - Kenneth P Cantor
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, the Netherlands
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Dana Boyd Barr
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jason Y Y Wong
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Aaron Blair
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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39
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Wong JYY, Downward GS, Hu W, Portengen L, Seow WJ, Silverman DT, Bassig BA, Zhang J, Xu J, Ji BT, Li J, He J, Yang K, Tian L, Shen M, Huang Y, Vermeulen R, Rothman N, Lan Q. Lung cancer risk by geologic coal deposits: A case-control study of female never-smokers from Xuanwei and Fuyuan, China. Int J Cancer 2019; 144:2918-2927. [PMID: 30511435 DOI: 10.1002/ijc.32034] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 11/06/2018] [Accepted: 11/22/2018] [Indexed: 01/01/2023]
Abstract
Coal types vary around the world because of geochemical differences in their source deposits; however, the influence of coal emissions from different deposits on human health remains unexplored. To address this issue, we conducted the first study of the relationship between coal use from various deposits and lung cancer risk in Xuanwei and Fuyuan, counties in China where lung cancer rates are among the highest in the world among female never-smokers due to use of bituminous ("smoky") coal for heating and cooking. We conducted a population-based case-control study of 1031 lung cancer cases and 493 controls among never-smoking women in Xuanwei and Fuyuan. Logistic regression models were used to estimate associations between coal use from various deposits across the lifecourse and lung cancer risk. There was substantial heterogeneity in risks by coal deposit (p = 7.8E-05). Compared to non-smoky coal users, risks by smoky coal deposit ranged from OR = 7.49 (95% CI: 3.43-16.38) to OR = 33.40 (95% CI: 13.07-85.34). Further, women born into homes that used smoky coal and subsequently changed to non-smoky coal had a higher risk (OR = 10.83 (95% CI: 4.61-25.46)) than women born into homes that used non-smoky coal and changed to smoky coal (OR = 4.74 (95% CI: 2.03-11.04, pdifference = 0.04)). Our study demonstrates that various sources of coal have considerably different impact on lung cancer in this population and suggests that early-life exposure to carcinogenic emissions may exert substantial influence on health risks later in life. These factors should be considered when evaluating the health risks posed by exposure to coal combustion emissions.
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Affiliation(s)
- Jason Y Y Wong
- 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, Division of Environmental Epidemiology, Utrecht University, Utrecht, 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
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Bryan A Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Jinming Zhang
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Jun Xu
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region of China
| | - Bu-Tian Ji
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Qujing, Yunnan, China
| | - Jun He
- Qujing Center for Diseases Control and Prevention, Qujing, Yunnan, China
| | - Kaiyun Yang
- Kunming Tumor Hospital, Kunming, Yunnan, China
| | - Linwei Tian
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Special Administrative Region of China
| | - Min Shen
- Caromont Inpatient Physicians, Gastonia, NC, USA
| | | | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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Wong JYY, Bassig BA, Hu W, Seow WJ, Shiels MS, Ji BT, Downward GS, Huang Y, Yang K, Li J, He J, Chen Y, Hildesheim A, Vermeulen R, Lan Q, Rothman N. Household coal combustion, indoor air pollutants, and circulating immunologic/inflammatory markers in rural China. J Toxicol Environ Health A 2019; 82:411-421. [PMID: 31084278 PMCID: PMC6594692 DOI: 10.1080/15287394.2019.1614500] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/15/2023]
Abstract
The study aim was to investigate whether household bituminous ("smoky") coal use and personal exposure to combustion emissions were associated with immunologic/inflammatory marker levels. A cross-sectional study of healthy never-smoking women from rural Xuanwei and Fuyuan, China was conducted, which included 80 smoky coal and 14 anthracite ("smokeless") coal users. Personal exposure to fine particulate matter (PM2.5) and benzo[a]pyrene (BaP) was assessed using portable devices, while 67 circulating plasma immunologic/inflammatory markers were measured using multiplex bead-based assays. Multivariable linear regression models were employed to estimate associations between smoky coal versus smokeless coal use, indoor air pollutants, and immunologic/inflammatory markers. Six markers were altered among smoky coal users compared to smokeless coal, including significantly decreased interferon-inducible T-cell alpha chemoattractant (CXCL11/I-TAC), and increased serum amyloid P component (SAP). CXCL11/I-TAC was previously found to be reduced in workers exposed to high levels of diesel engine exhaust, which exhibits similar constituents as coal combustion emissions. Further, there was evidence that elevated PM2.5 and BaP exposure was associated with significantly diminished levels of the serum amyloid A (SAA); however, the false discovery rates (FDRs) were >0.2 after accounting for multiple comparisons. Inflammatory processes may thus mediate the carcinogenic effects attributed to smoky coal emissions.
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Affiliation(s)
- Jason Y Y Wong
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
| | - Bryan A Bassig
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
| | - Wei Hu
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
| | - Wei Jie Seow
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
| | - Meredith S Shiels
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
| | - Bu-Tian Ji
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
| | - George S Downward
- b Division of Environmental Epidemiology , Utrecht University, Institute for Risk Assessment Sciences , Utrecht , The Netherlands
| | - Yunchao Huang
- c Department of Cardiothoracic Surgery , Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital) , Kunming , China
| | - Kaiyun Yang
- c Department of Cardiothoracic Surgery , Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital) , Kunming , China
| | - Jihua Li
- d Sanjiangdadao , Qujing Center for Diseases Control and Prevention , Qujing , Yunnan , China
| | - Jun He
- d Sanjiangdadao , Qujing Center for Diseases Control and Prevention , Qujing , Yunnan , China
| | - Ying Chen
- c Department of Cardiothoracic Surgery , Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital) , Kunming , China
| | - Allan Hildesheim
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
| | - Roel Vermeulen
- b Division of Environmental Epidemiology , Utrecht University, Institute for Risk Assessment Sciences , Utrecht , The Netherlands
| | - Qing Lan
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
| | - Nathaniel Rothman
- a Division of Cancer Epidemiology and Genetics , National Cancer Institute - National Institutes of Health , Rockville , MD , USA
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41
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McMaster ML, Berndt SI, Zhang J, Slager SL, Li SA, Vajdic CM, Smedby KE, Yan H, Birmann BM, Brown EE, Smith A, Kleinstern G, Fansler MM, Mayr C, Zhu B, Chung CC, Park JH, Burdette L, Hicks BD, Hutchinson A, Teras LR, Adami HO, Bracci PM, McKay J, Monnereau A, Link BK, Vermeulen RCH, Ansell SM, Maria A, Diver WR, Melbye M, Ojesina AI, Kraft P, Boffetta P, Clavel J, Giovannucci E, Besson CM, Canzian F, Travis RC, Vineis P, Weiderpass E, Montalvan R, Wang Z, Yeager M, Becker N, Benavente Y, Brennan P, Foretova L, Maynadie M, Nieters A, de Sanjose S, Staines A, Conde L, Riby J, Glimelius B, Hjalgrim H, Pradhan N, Feldman AL, Novak AJ, Lawrence C, Bassig BA, Lan Q, Zheng T, North KE, Tinker LF, Cozen W, Severson RK, Hofmann JN, Zhang Y, Jackson RD, Morton LM, Purdue MP, Chatterjee N, Offit K, Cerhan JR, Chanock SJ, Rothman N, Vijai J, Goldin LR, Skibola CF, Caporaso NE. Two high-risk susceptibility loci at 6p25.3 and 14q32.13 for Waldenström macroglobulinemia. Nat Commun 2018; 9:4182. [PMID: 30305637 PMCID: PMC6180091 DOI: 10.1038/s41467-018-06541-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Accepted: 09/04/2018] [Indexed: 01/07/2023] Open
Abstract
Waldenström macroglobulinemia (WM)/lymphoplasmacytic lymphoma (LPL) is a rare, chronic B-cell lymphoma with high heritability. We conduct a two-stage genome-wide association study of WM/LPL in 530 unrelated cases and 4362 controls of European ancestry and identify two high-risk loci associated with WM/LPL at 6p25.3 (rs116446171, near EXOC2 and IRF4; OR = 21.14, 95% CI: 14.40-31.03, P = 1.36 × 10-54) and 14q32.13 (rs117410836, near TCL1; OR = 4.90, 95% CI: 3.45-6.96, P = 8.75 × 10-19). Both risk alleles are observed at a low frequency among controls (~2-3%) and occur in excess in affected cases within families. In silico data suggest that rs116446171 may have functional importance, and in functional studies, we demonstrate increased reporter transcription and proliferation in cells transduced with the 6p25.3 risk allele. Although further studies are needed to fully elucidate underlying biological mechanisms, together these loci explain 4% of the familial risk and provide insights into genetic susceptibility to this malignancy.
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Affiliation(s)
- Mary L McMaster
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA.
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
| | - Jianqing Zhang
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, 35233, AL, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, 55905, MN, USA
| | - Shengchao Alfred Li
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Lab for Cancer Research, Frederick, 20877, MD, USA
| | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, 2052, NSW, Australia
| | - Karin E Smedby
- Department of Medicine, Solna Karolinska Institutet, Stockholm, 17176, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm, 17176, Sweden
| | - Huihuang Yan
- Department of Health Sciences Research, Mayo Clinic, Rochester, 55905, MN, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, 02115, MA, USA
| | - Elizabeth E Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, 35233, AL, USA
| | - Alex Smith
- Department of Health Sciences, University of York, York, YO10 5DD, UK
| | - Geffen Kleinstern
- Department of Health Sciences Research, Mayo Clinic, Rochester, 55905, MN, USA
| | - Mervin M Fansler
- Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Graduate College, New York, 10021, NY, USA
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, 10065, NY, USA
| | - Christine Mayr
- Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, 10065, NY, USA
| | - Bin Zhu
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Lab for Cancer Research, Frederick, 20877, MD, USA
| | - Charles C Chung
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Lab for Cancer Research, Frederick, 20877, MD, USA
| | - Ju-Hyun Park
- Department of Statistics, Dongguk University, Seoul, 100-715, Republic of Korea
| | - Laurie Burdette
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Lab for Cancer Research, Frederick, 20877, MD, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Lab for Cancer Research, Frederick, 20877, MD, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Lab for Cancer Research, Frederick, 20877, MD, USA
| | - Lauren R Teras
- Epidemiology Research Program, American Cancer Society, Atlanta, 30303, GA, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA
- Institute of Health and Society, Clinical Effectiveness Research Group, University of Oslo, Oslo, NO-0316, Norway
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, 94118, CA, USA
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, 69372, France
| | - Alain Monnereau
- Epidemiology of Childhood and Adolescent Cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, F-94807, France
- Université Paris Descartes, Paris, 75006, France
- Registry of Hematological Malignancies in Gironde, Institut Bergonié, University of Bordeaux, Inserm, Team EPICENE, UMR 1219, Bordeaux, 33000, France
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, 52242, IA, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508 TD, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, 3584 CX, The Netherlands
| | - Stephen M Ansell
- Department of Internal Medicine, Mayo Clinic, Rochester, 55905, MN, USA
| | - Ann Maria
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, 10065, NY, USA
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society, Atlanta, 30303, GA, USA
| | - Mads Melbye
- Division of Health Surveillance and Research, Department of Epidemiology Research, Statens Serum Institut, Copenhagen, 2300, Denmark
- Department of Medicine, Stanford University School of Medicine, Stanford, 94305, CA, USA
| | - Akinyemi I Ojesina
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, 35233, AL, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA
| | - Paolo Boffetta
- The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, 10029, NY, USA
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, F-94807, France
- Université Paris Descartes, Paris, 75006, France
| | - Edward Giovannucci
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, 02115, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, 02115, MA, USA
| | - Caroline M Besson
- Service d'hématologie et Oncologie, Centre Hospitalier de Versailles, Le Chesnay, Inserm U1018, Centre pour la Recherche en Epidémiologie et Santé des Populations (CESP), Villejuif, 78157, France
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, 69120, Germany
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, OX3 7LF, UK
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK
- Human Genetics Foundation, Turin, 10126, Italy
| | - Elisabete Weiderpass
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 17177, Sweden
- Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, 9019, Norway
- Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, 0379, Norway
- Genetic Epidemiology Group, Folkhälsan Research Center and University of Helsinki, Helsinki, 00250, Finland
| | | | - Zhaoming Wang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, 38105, TN, USA
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20877, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Inc., Frederick National Lab for Cancer Research, Frederick, 20877, MD, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, 69120, Baden-Württemberg, Germany
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, 08908, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, 28029, Spain
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, 69372, France
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute and MF MU, Brno, 65653, Czech Republic
| | - Marc Maynadie
- EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, 21070, France
| | - Alexandra Nieters
- Center for Chronic Immunodeficiency, University Medical Center Freiburg, Freiburg, 79108, Baden-Württemberg, Germany
| | - Silvia de Sanjose
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, 08908, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, 28029, Spain
| | - Anthony Staines
- School of Nursing and Human Sciences, Dublin City University, Dublin, 9, Ireland
| | - Lucia Conde
- Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London, WC1E 6DD, UK
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, 35233, AL, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, 94720, CA, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, 75105, Sweden
| | - Henrik Hjalgrim
- Division of Health Surveillance and Research, Department of Epidemiology Research, Statens Serum Institut, Copenhagen, 2300, Denmark
- Department of Hematology, Rigshospitalet, Copenhagen, 2100, Denmark
| | - Nisha Pradhan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, 10065, NY, USA
| | - Andrew L Feldman
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, 55905, MN, USA
| | - Anne J Novak
- Department of Internal Medicine, Mayo Clinic, Rochester, 55905, MN, USA
| | | | - Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, 02903, RI, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, 27599, NC, USA
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, 98117, WA, USA
| | - Wendy Cozen
- Department of Preventive Medicine, USC Keck School of Medicine, University of Southern California, Los Angeles, 90033, CA, USA
- Norris Comprehensive Cancer Center, USC Keck School of Medicine, University of Southern California, Los Angeles, 90033, CA, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, 48201, MI, USA
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, 06520, CT, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, 43210, OH, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
- Ontario Health Study, Toronto, M5S 1C6, ON, Canada
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, 21205, MD, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, 21205, MD, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, 10065, NY, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, 55905, MN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, 10065, NY, USA
| | - Lynn R Goldin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, 30322, GA, USA
| | - Neil E Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, 20892, MD, USA
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Bassig BA, Willhauck-Fleckenstein M, Shu XO, Koh WP, Gao YT, Purdue MP, Xiang YB, Adams-Haduch J, Wang R, Brenner N, Waterboer T, Michel A, Ji BT, Hosgood HD, Rabkin CS, Yang G, Wong JYY, Zhang J, Hu W, Seow WJ, Chow WH, Pawlita M, Zheng W, Yuan JM, Lan Q, Rothman N. Serologic markers of viral infection and risk of non-Hodgkin lymphoma: A pooled study of three prospective cohorts in China and Singapore. Int J Cancer 2018; 143:570-579. [PMID: 29574937 DOI: 10.1002/ijc.31385] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 02/05/2018] [Accepted: 02/07/2018] [Indexed: 12/28/2022]
Abstract
Incidence rates of non-Hodgkin lymphoma (NHL) and distributions of certain viruses differ between East Asian and Western populations. There are limited data on associations between serologic markers of multiple viral infections in pre-diagnostic blood and NHL risk in East Asians. We conducted a nested case-control study of 214 NHL cases and 214 matched controls from three population-based prospective cohorts in Shanghai and Singapore. Antibodies against antigens from herpesviruses, Hepatitis B (HBV) and C (HCV) virus and polyomaviruses were measured in plasma or serum using fluorescent bead-based multiplex assays. Conditional logistic regression was used to evaluate associations between antibody levels and NHL risk. An increased risk of NHL was observed for higher compared to lower EA-D (Odds Ratio (OR) = 2.04, 95% Confidence Interval (CI) = 1.10-3.81; ptrend = 0.005) and ZEBRA (OR = 2.17, 95% CI = 0.96-4.89; ptrend = 0.008) Epstein-Barr Virus (EBV) antibodies, as well as for antibody seropositivity against the IE1A human herpesvirus-6 (HHV-6) antigen (OR = 1.85, 95% CI = 1.04-3.29). An increased NHL risk was also observed for higher compared to lower antibodies against the HBV-HBc and HBe antigens. An increased risk of NHL in relation to EBV and HBV infection in East Asians is consistent with findings in several studies of Western populations, suggesting similar viral risk factors for NHL in these diverse populations with distinct patterns of NHL. The association between HHV-6 antibodies and NHL has not previously been reported in a prospective study in this population and will require replication.
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Affiliation(s)
- Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Martina Willhauck-Fleckenstein
- Division of Molecular Diagnostics of Oncogenic Infections, Infection, Inflammation and Cancer Program, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Woon-Puay Koh
- Health Services & Systems Research, Duke-NUS Medical School, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Yong-Bing Xiang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Jennifer Adams-Haduch
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Nicole Brenner
- Division of Molecular Diagnostics of Oncogenic Infections, Infection, Inflammation and Cancer Program, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tim Waterboer
- Division of Molecular Diagnostics of Oncogenic Infections, Infection, Inflammation and Cancer Program, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Angelika Michel
- Division of Molecular Diagnostics of Oncogenic Infections, Infection, Inflammation and Cancer Program, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY
| | - Charles S Rabkin
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Gong Yang
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Jason Y Y Wong
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Jinming Zhang
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Wong-Ho Chow
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Pawlita
- Division of Molecular Diagnostics of Oncogenic Infections, Infection, Inflammation and Cancer Program, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Rockville, MD
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Zhang J, Zhang L, Vermeulen R, Hu W, Bassig BA, Wong JY, Shen M, Ji BT, Reiss B, Purdue M, Smith MT, Lan Q, Rothman N. Abstract 5313: Occupational exposure to trichloroethylene and DNA methylation: a cross-sectional study. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-5313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Trichloroethylene (TCE) is a chlorinated solvent that is often used in occupational settings for vapor degreasing of metal parts. In 2012, TCE was classified as a known human carcinogen (Group 1) by the International Agency for Research on Cancer, largely based on evidence for kidney cancer. Animal studies have suggested that TCE may modulate DNA methylation. We performed a cross-sectional study to examine the associations of DNA methylation of individual CpG sites with TCE exposure. We enrolled 80 workers from factories where TCE was used, as well as 96 unexposed controls from food and clothes manufacturing factories in the same region, and 69 exposed workers and 77 controls were available for analyses in this study. Personal exposure measurements (2-3 per subject) were collected for a full work shift using a 3MTM badge in both exposed workers and a subgroup of the control workers. Blood samples were collected from each subject and CpG methylation was assayed on the Illumina Infinium HumanMethylation450 BeadChip. After quality controls procedures, 485,512 CpG probes were available for analyses. We used separate multivariable linear regression models to examine the associations of TCE exposure and the methylation level at each single CpG site. All models were adjusted for age, sex, current smoking status, current alcohol consumption, recent infection, and body mass index. The median TCE exposure level in exposed subjects was 12 ppm (10th percentile: 2 ppm; 90th percentile: 45 ppm). We found 29 CpG probes that achieved genome-wide significance (p < 1.04x10-7) when comparing TCE exposed workers with controls. TCE exposure was associated with hypomethylation at nearly all (28/29) of those CpG probes. Of these 29 CpG probes, 6 CpGs showed a significant (p < 1.04x10-7) exposure-response relationship across the categories of controls and lower- (<12ppm) and higher-exposed (≥12 ppm) workers, and were mapped to 6 different chromosomes. To our knowledge, this is the first report that TCE exposure is associated with alterations in DNA methylation in a molecular epidemiologic study. Our findings may provide insight into potential biological mechanisms linking exposure to TCE and adverse health outcomes.
Citation Format: Jinming Zhang, Luoping Zhang, Roel Vermeulen, Wei Hu, Bryan A. Bassig, Jason Y. Wong, Min Shen, Bu-Tian Ji, Boris Reiss, Mark Purdue, Martyn T. Smith, Qing Lan, Nathaniel Rothman. Occupational exposure to trichloroethylene and DNA methylation: a cross-sectional study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5313.
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Affiliation(s)
| | | | | | - Wei Hu
- 1National Cancer Insitute, Rockville, MD
| | | | | | - Min Shen
- 1National Cancer Insitute, Rockville, MD
| | - Bu-Tian Ji
- 1National Cancer Insitute, Rockville, MD
| | | | | | | | - Qing Lan
- 1National Cancer Insitute, Rockville, MD
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Seow WJ, Shu XO, Nicholson J, Holmes E, Hu W, Cai Q, Gao YT, Xiang YB, Moore S, Bassig BA, Wong JY, Zhang J, Ji BT, Boulange C, Kaluarachchi M, Adesina-Georgiadis KF, Wijeyesekera A, Zheng W, Elliot P, Rothman N, Lan Q. Abstract 4974: Prospective study of untargeted urinary metabolomics and risk of lung cancer among female never-smokers in Shanghai, China. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-4974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
The lung cancer rate among never-smokers is the highest among Asian women, however its etiology and any relevant non-smoking related biomarkers are still unclear. Pre-diagnostic lung cancer-related metabolic biomarkers may provide novel insights into lung cancer mechanisms, and may contribute to the discovery of etiologic factors for the high lung cancer prevalence among Asian women. We evaluated the role of the urinary metabolome in lung cancer development among female never-smokers in China by conducting a nested case-control study of 275 lung cancer cases and 289 healthy controls from the Shanghai Women's Health Study, a prospective cohort comprised of 73,363 Chinese female never-smokers. Metabolic profiling of urinary chemical features was conducted using ultrahigh-performance liquid chromatography - tandem mass spectrometry (UPLC-MS) (39,409 spectral features) and 600 MHz 1H nuclear magnetic resonance (NMR) spectroscopy (386 features). Unconditional logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for the association between each log-transformed metabolite level and lung cancer risk, adjusting for potential confounders such as age, body mass index, history of respiratory disease and passive smoking. Spearman correlation and linear regression were used to estimate associations between the most significant metabolites and pre-diagnosis dietary factors. Three detected UPLC-MS urinary metabolites were negatively associated with lung cancer risk with a false discovery rate of less than 10%: pos_2.61_127.0382m/z (OR = 0.57, 95% CI = 0.46-0.72, P = 1.98 x 10-6), neg_2.60_369.0408m/z (OR = 0.97, 95% CI = 0.96-0.98, P = 1.36 x 10-6), and pos_2.61_184.0325n (OR = 0.55, 95% CI = 0.43-0.71, P = 4.91 x 10-6). These were strongly correlated with each other (rho > 0.65, p < 0.0001). The significant metabolite (pos_2.61_127.0382m/z) was identified as 5-methyl-2-furoic acid and was moderately correlated with self-reported dietary intake of soy (rho = 0.21, p < 0.001). In conclusion, we identified a metabolite in urine (5-methyl-2-furoic acid) that provides support for the protective association of soy-based foods on lung cancer risk that was previously observed in this population of never-smoking women. Further studies are warranted to replicate these findings.
Citation Format: Wei Jie Seow, Xiao-Ou Shu, Jeremy Nicholson, Elaine Holmes, Wei Hu, Qiuyin Cai, Yu-Tang Gao, Yong-Bing Xiang, Steve Moore, Bryan A. Bassig, Jason Yy Wong, Jinming Zhang, Bu-Tian Ji, Claire Boulange, Manuja Kaluarachchi, Kyrillos F. Adesina-Georgiadis, Anisha Wijeyesekera, Wei Zheng, Paul Elliot, Nathaniel Rothman, Qing Lan. Prospective study of untargeted urinary metabolomics and risk of lung cancer among female never-smokers in Shanghai, China [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4974.
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Affiliation(s)
- Wei Jie Seow
- 1National University of Singapore, Singapore, Singapore
| | - Xiao-Ou Shu
- 2Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Wei Hu
- 4National Cancer Institute, Bethesda, MD
| | - Qiuyin Cai
- 2Vanderbilt University Medical Center, Nashville, TN
| | | | | | | | | | | | | | - Bu-Tian Ji
- 4National Cancer Institute, Bethesda, MD
| | | | | | | | | | - Wei Zheng
- 2Vanderbilt University Medical Center, Nashville, TN
| | | | | | - Qing Lan
- 4National Cancer Institute, Bethesda, MD
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Hu W, Cawthon RM, Downward G, Reiss B, Li J, He J, Xu J, Seow WJ, Bassig BA, Wong JY, Hosgood D, Portengen L, Rothman N, Vermeulen R, Lan Q. Abstract 3239: Molecular biomarkers and indoor household air pollution in a rural area of China. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-3239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
To explore the influence of fuel source used for home heating and cooking on biomarkers of potential genomic instability, we analyzed biological samples obtained from a cross-sectional study of 104 female never-smokers enrolled from 30 villages in Xuanwei and Fuyuan in Yunnan Province, a rural region with a high incidence of lung cancer in China. Study subjects who used primarily smoky (i.e., bituminous) coal (n=80), smokeless coal (i.e., anthracite) (n=14) and wood (n=10) were analyzed. Personal 24-h air PM2.5 and polycyclic aromatic hydrocarbon concentrations were measured over two consecutive days in each household. DNA was extracted from peripheral white blood cells. We assayed molecular biomarkers of potential genomic instability including the Alu copy number to albumin gene (ALB) ratio (Alu/ALB), 5.8S ribosomal DNA to ALB ratio (5.8S rDNA/ALB) and 18S ribosomal DNA to ALB ratio (18S rDNA/ALB), which were weakly to highly correlated with each other. Multiple linear regression was performed to analyze the association between fuel type and these biomarkers, adjusted for age, as well as the influence of benzo[a]pyrene (BaP) and PM2.5 concentration. There was a significant difference (p = 0.041) in levels of 18S rDNA/ALB among the three exposure groups [mean (standard deviation [sd]) = 1.30 (0.42), 1.58 (0.72), and 1.65 (0.62) among smoky, smokeless coal and wood users, respectively]. There were substantial differences in personal PM2.5 exposure among smoky coal, smokeless coal, and wood users [mean (sd) =184 (127), 227 (318), and 433 (284) µg/m3, respectively, p = 0.0004]. PM2.5 exposure was significantly and positively associated with 18S rDNA/ALB (p = 0.001). Further, after adjustment for PM2.5, the association between fuel type and 18S rDNA/ALB became non-significant (p = 0.24). Similar positive associations were observed between PM2.5 and 5.8S rDNA/ALB (p=0.009) and Alu/ALB (p=0.0003). There were no associations identified between BaP and these biomarkers after adjustment for PM2.5. Our findings suggest that exposure to PM2.5, which has been associated with increased risks of lung cancer and cardiovascular disease, may alter potential molecular markers of genomic instability. Additional studies are needed to confirm these findings and further understand the role of these biomarkers in predicting human health effects.
Citation Format: Wei Hu, Richard M. Cawthon, George Downward, Boris Reiss, Jihua Li, Jun He, Jun Xu, Wei Jie Seow, Bryan A. Bassig, Jason Y. Wong, Dean Hosgood, Lützen Portengen, Nathaniel Rothman, Roel Vermeulen, Qing Lan. Molecular biomarkers and indoor household air pollution in a rural area of China [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 3239.
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Affiliation(s)
- Wei Hu
- 1National Cancer Institute, Rockville, MD
| | | | | | | | - Jihua Li
- 4Qujing Center for Disease Control and Prevention, Qujing, China
| | - Jun He
- 4Qujing Center for Disease Control and Prevention, Qujing, China
| | - Jun Xu
- 5The University of Hong Kong, Hong Kong, Hong Kong
| | - Wei Jie Seow
- 6National University of Singapore and National University Health System, Singapore, Singapore
| | | | | | | | | | | | | | - Qing Lan
- 1National Cancer Institute, Rockville, MD
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Dai Y, Ren D, Bassig BA, Vermeulen R, Hu W, Niu Y, Duan H, Ye M, Meng T, Xu J, Bin P, Shen M, Yang J, Fu W, Meliefste K, Silverman D, Rothman N, Lan Q, Zheng Y. Occupational exposure to diesel engine exhaust and serum cytokine levels. Environ Mol Mutagen 2018; 59:144-150. [PMID: 29023999 PMCID: PMC6438621 DOI: 10.1002/em.22142] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 09/05/2017] [Accepted: 09/07/2017] [Indexed: 05/27/2023]
Abstract
The International Agency for Research on Cancer has classified diesel engine exhaust (DEE) as a human lung carcinogen. Given that inflammation is suspected to be an important underlying mechanism of lung carcinogenesis, we evaluated the relationship between DEE exposure and the inflammatory response using data from a cross-sectional molecular epidemiology study of 41 diesel engine testing workers and 46 unexposed controls. Repeated personal exposure measurements of PM2.5 and other DEE constituents were taken for the diesel engine testing workers before blood collection. Serum levels of six inflammatory biomarkers including interleukin (IL)-1, IL-6, IL-8, tumor necrosis factor (TNF)-α, macrophage inflammatory protein (MIP)-1β, and monocyte chemotactic protein (MCP)-1 were analyzed in all subjects. Compared to unexposed controls, concentrations of MIP-1β were significantly reduced by ∼37% in DEE exposed workers (P < 0.001) and showed a strong decreasing trend with increasing PM2.5 concentrations in all subjects (Ptrend < 0.001) as well as in exposed subjects only (Ptrend = 0.001). Levels of IL-8 and MIP-1β were significantly lower in workers in the highest exposure tertile of PM2.5 (>397 µg/m3 ) compared to unexposed controls. Further, significant inverse exposure-response relationships for IL-8 and MCP-1 were also found in relation to increasing PM2.5 levels among the DEE exposed workers. Given that IL-8, MIP-1β, and MCP-1 are chemokines that play important roles in recruitment of immunocompetent cells for immune defense and tumor cell clearance, the observed lower levels of these markers with increasing PM2.5 exposure may provide insight into the mechanism by which DEE promotes lung cancer. Environ. Mol. Mutagen. 59:144-150, 2018. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Yufei Dai
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Beijing, China
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute. Rockville, Maryland, U.S.A
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and prevention, Chaoyang, China
| | - Bryan A. Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute. Rockville, Maryland, U.S.A
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Wei Hu
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute. Rockville, Maryland, U.S.A
| | - Yong Niu
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Beijing, China
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Beijing, China
| | - Meng Ye
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Beijing, China
| | - Tao Meng
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Beijing, China
| | - Jun Xu
- Hong Kong University, Hong Kong, China
| | - Ping Bin
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Beijing, China
| | - Meili Shen
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Beijing, China
| | - Jufang Yang
- Chaoyang Center for Disease Control and prevention, Chaoyang, China
| | - Wei Fu
- Chaoyang Center for Disease Control and prevention, Chaoyang, China
| | - Kees Meliefste
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Debra Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute. Rockville, Maryland, U.S.A
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute. Rockville, Maryland, U.S.A
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute. Rockville, Maryland, U.S.A
| | - Yuxin Zheng
- Key Laboratory of Chemical Safety and Health, National Institute for Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention. Beijing, China
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47
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Bassig BA, Dai Y, Vermeulen R, Ren D, Hu W, Duan H, Niu Y, Xu J, Shiels MS, Kemp TJ, Pinto LA, Fu W, Meliefste K, Zhou B, Yang J, Ye M, Jia X, Meng T, Wong JYY, Bin P, Hosgood HD, Hildesheim A, Silverman DT, Rothman N, Zheng Y, Lan Q. Occupational exposure to diesel engine exhaust and alterations in immune/inflammatory markers: a cross-sectional molecular epidemiology study in China. Carcinogenesis 2017; 38:1104-1111. [PMID: 28968774 PMCID: PMC5862277 DOI: 10.1093/carcin/bgx081] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2017] [Accepted: 07/28/2017] [Indexed: 12/22/2022] Open
Abstract
The relationship between diesel engine exhaust (DEE), a known lung carcinogen, and immune/inflammatory markers that have been prospectively associated with lung cancer risk is not well understood. To provide insight into these associations, we conducted a cross-sectional molecular epidemiology study of 54 males highly occupationally exposed to DEE and 55 unexposed male controls from representative workplaces in China. We measured plasma levels of 64 immune/inflammatory markers in all subjects using Luminex bead-based assays, and compared our findings to those from a nested case-control study of these markers and lung cancer risk, which had been conducted among never-smoking women in Shanghai using the same multiplex panels. Levels of nine markers that were associated with lung cancer risk in the Shanghai study were altered in DEE-exposed workers in the same direction as the lung cancer associations. Among these, associations with the levels of CRP (β= -0.53; P = 0.01) and CCL15/MIP-1D (β = 0.20; P = 0.02) were observed in workers exposed to DEE and with increasing elemental carbon exposure levels (Ptrends <0.05) in multivariable linear regression models. Levels of a third marker positively associated with an increased lung cancer risk, CCL2/MCP-1, were higher among DEE-exposed workers compared with controls in never and former smokers, but not in current smokers (Pinteraction = 0.01). The immunological differences in these markers in DEE-exposed workers are consistent with associations observed for lung cancer risk in a prospective study of Chinese women and may provide some insight into the mechanistic processes by which DEE causes lung cancer.
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Affiliation(s)
- Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Yufei Dai
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Dianzhi Ren
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Huawei Duan
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yong Niu
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jun Xu
- Hong Kong University, Hong Kong, Hong Kong
| | - Meredith S Shiels
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Troy J Kemp
- HPV Immunology Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ligia A Pinto
- HPV Immunology Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Wei Fu
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Kees Meliefste
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Baosen Zhou
- China Medical University, Shenyang, Liaoning, China
| | - Jufang Yang
- Chaoyang Center for Disease Control and Prevention, Chaoyang, Liaoning, China
| | - Meng Ye
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaowei Jia
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tao Meng
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jason YY Wong
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Ping Bin
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - H Dean Hosgood
- Division of Epidemiology, Albert Einstein College of Medicine, New York, NY, USA
| | - Allan Hildesheim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Yuxin Zheng
- Key Laboratory of Chemical Safety and Health, National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
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Wong JYY, Hu W, Downward GS, Seow WJ, Bassig BA, Ji BT, Wei F, Wu G, Li J, He J, Liu CS, Cheng WL, Huang Y, Yang K, Chen Y, Rothman N, Vermeulen RC, Lan Q. Personal exposure to fine particulate matter and benzo[a]pyrene from indoor air pollution and leukocyte mitochondrial DNA copy number in rural China. Carcinogenesis 2017; 38:893-899. [PMID: 28911003 DOI: 10.1093/carcin/bgx068] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2017] [Accepted: 06/22/2017] [Indexed: 12/31/2022] Open
Abstract
Households in Xuanwei and Fuyuan, China, possess hazardous levels of fine particulate matter with an aerodynamic diameter <2.5 microns (PM2.5) and polycyclic aromatic hydrocarbons (PAHs) from coal combustion. Previous studies found that increased exposure to PM2.5 and benzo[a]pyrene (BaP; a PAH) were associated with decreased mitochondrial DNA copy number (mtDNAcn), a marker of oxidative stress. We further evaluated these associations in a cross-sectional study of 148 healthy non-smoking women from Xuanwei and Fuyuan. Personal exposure to PM2.5 and BaP was measured using portable devices. MtDNAcn was measured using qPCR amplification of leukocyte DNA that was collected after air measurements. Linear regression models were used to estimate the associations between personal exposure to PM2.5 and BaP, and mtDNAcn adjusted for age, body mass index (BMI) and fuel type. We found inverse associations between exposure to PM2.5 and BaP, and mtDNAcn. Each incremental log-μg/m3 increase in PM2.5 was associated with a significant decrease in mtDNAcn of -10.3 copies per cell [95% confidence interval (95% CI): -18.6, -2.0; P = 0.02]. Additionally, each log-ng/m3 increase in BaP was associated with a significant decrease in mtDNAcn of -5.4 copies per cell (95% CI: -9.9, -0.8, P = 0.02). Age, BMI, fuel type and coal mine type were not significantly associated with mtDNAcn. Exposure to PM2.5 and BaP may alter mitochondrial dynamics in non-smoking Chinese women. MtDNAcn may be a potential mediator of indoor air pollution on chronic disease development.
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Affiliation(s)
- Jason Y Y Wong
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Rockville, MD, 20850, USA
| | - Wei Hu
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Rockville, MD, 20850, USA
| | - George S Downward
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508 TD, the Netherlands
| | - Wei Jie Seow
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Rockville, MD, 20850, USA.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System.,Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 117549, Singapore
| | - Bryan A Bassig
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Rockville, MD, 20850, USA
| | - Bu-Tian Ji
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Rockville, MD, 20850, USA
| | - Fusheng Wei
- China National Environmental Monitoring Center, Beijing 100012, People's Republic of China
| | - Guoping Wu
- China National Environmental Monitoring Center, Beijing 100012, People's Republic of China
| | - Jihua Li
- Qujing Center for Diseases Control and Prevention, Sanjiangdadao, Qujing, Yunnan 655099, People's Republic of China
| | - Jun He
- Qujing Center for Diseases Control and Prevention, Sanjiangdadao, Qujing, Yunnan 655099, People's Republic of China
| | - Chin-San Liu
- Department of Neurology and Vascular and Genomic Center, Changhua Christian Hospital, Changhua, Taiwan, Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung 500, Taiwan
| | - Wen-Ling Cheng
- Laboratory of Mitochondrial Medicine, Chunghua Christian Hospital, Taipei 500, Taiwan
| | - Yunchao Huang
- Department of Cardiothoracic Surgery, Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), Kunming 650118, People's Republic of China
| | - Kaiyun Yang
- Department of Cardiothoracic Surgery, Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), Kunming 650118, People's Republic of China
| | - Ying Chen
- Department of Cardiothoracic Surgery, Third Affiliated Hospital of Kunming Medical University (Yunnan Tumor Hospital), Kunming 650118, People's Republic of China
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Rockville, MD, 20850, USA
| | - Roel C Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, 3508 TD, the Netherlands
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, U.S. Department of Health and Human Services, Rockville, MD, 20850, USA
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49
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Hu J, Xia W, Pan X, Zheng T, Zhang B, Zhou A, Buka SL, Bassig BA, Liu W, Wu C, Peng Y, Li J, Zhang C, Liu H, Jiang M, Wang Y, Zhang J, Huang Z, Zheng D, Shi K, Qian Z, Li Y, Xu S. Association of adverse birth outcomes with prenatal exposure to vanadium: a population-based cohort study. Lancet Planet Health 2017; 1:e230-e241. [PMID: 29851608 DOI: 10.1016/s2542-5196(17)30094-3] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 07/12/2017] [Accepted: 08/14/2017] [Indexed: 05/18/2023]
Abstract
BACKGROUND Vanadium, an important pollutant produced from anthropogenic activities, has been suggested to be embryotoxic and fetotoxic in animal studies. However, little is known about its effects on humans. We aimed to assess the association of prenatal exposure to vanadium with the risk of adverse birth outcomes in babies born to women in China. METHODS For this population-based cohort study, the Healthy Baby Cohort, women were recruited from three cities in Hubei Province, China. Women included in this analysis were recruited from Wuhan Women and Children Medical Care Center, Wuhan. We measured urinary concentrations of vanadium and other metals simultaneously using inductively coupled plasma mass spectrometry. We used multivariable logistic regressions, with adjustment for potential confounders, to estimate the associations of natural logarithm transformed creatinine-corrected urinary vanadium (Ln-vanadium) concentrations as continuous variables and categorised into quartiles (Q; Q1: ≤0·84 μg/g creatinine, Q2: 0·84-1·40 μg/g creatinine, Q3: 1·40-2·96 μg/g creatinine, Q4: >2·96 μg/g creatinine, with the lowest quartile set as reference) with preterm delivery, early-term delivery, low birthweight, and being small for gestational age. We applied restricted cubic spline models to evaluate the dose-response relationships. FINDINGS Data from 7297 women recruited between Sept 22, 2012, and Oct 22, 2014, were included in this study. Urinary Ln-vanadium concentrations showed non-linear dose-response relationships with risk of preterm delivery (S-shaped, p<0·0001) and low birthweight (J-shaped, p=0·0001); the adjusted odds ratios (ORs) for increasing quartiles of urinary vanadium were 1·76 (95% CI 1·05-2·95) for Q2, 3·17 (1·96-5·14) for Q3, and 8·86 (5·66-13·86) for Q4 for preterm delivery, and 2·29 (95% CI 1·08-4·84) for Q2, 3·22 (1·58-6·58) for Q3, and 3·56 (1·79-7·10) for Q4 for low birthweight. Ln-vanadium concentrations were linearly associated with the risk of early-term delivery (linear, p<0·0001) and being small for gestational age (linear, p=0·0027), with adjusted ORs of 1·15 (95% CI 1·10-1·21) for early-term delivery and 1·12 (1·04-1·21) for being small for gestational age per unit increase in Ln-vanadium concentrations. INTERPRETATION Our findings reveal a relationship between prenatal exposure to higher levels of vanadium and increased risk of adverse birth outcomes, suggesting that vanadium might be a potential toxic metal for human beings. Further studies are needed to replicate the observed associations and investigate the interaction effects of prenatal exposure to different metals on adverse birth outcomes. FUNDING National Key R&D Plan of China, National Natural Science Foundation of China, and Fundamental Research Funds for the Central Universities, Key Laboratory of Environment and Health.
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Affiliation(s)
- Jie Hu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xinyun Pan
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Bin Zhang
- Wuhan Women and Children Medical Care Center, Wuhan, Hubei, China
| | - Aifen Zhou
- Wuhan Women and Children Medical Care Center, Wuhan, Hubei, China
| | - Stephen L Buka
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Bryan A Bassig
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Wenyu Liu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chuansha Wu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yang Peng
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jun Li
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chuncao Zhang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hongxiu Liu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Minmin Jiang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Youjie Wang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jianduan Zhang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zheng Huang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Dan Zheng
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kunchong Shi
- Department of Epidemiology, Brown University School of Public Health, Providence, RI, USA
| | - Zhengmin Qian
- Department of Epidemiology, College for Public Health and Social Justice, Saint Louis University, St Louis, MO, USA
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Bassig BA, Michel A, Shu XO, Koh WP, Gao YT, Butler LM, Purdue M, Xiang YB, Adams-Haduch J, Wang R, Brenner N, Waterboer T, Willhauck-Fleckenstein M, Ji BT, Hosgood HD, Rabkin CS, Wong JY, Zhang J, Hu W, Yang G, Chow WH, Pawlita M, Zheng W, Yuan JM, Lan Q, Rothman N. Abstract 4245: Serologic markers of infection and risk of non-Hodgkin lymphoma in a pooled prospective study of three Chinese cohorts. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-4245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Infections with some viruses, including HIV and Epstein-Barr Virus (EBV) in immunocompromised individuals, are known risk factors for specific subtypes of non-Hodgkin lymphoma (NHL). Epidemiological studies have also provided evidence that hepatitis viruses, and EBV in immunocompetent individuals, may also be associated with NHL. There are limited population-based prospective studies with pre-diagnostic blood samples that have comprehensively evaluated viral biomarkers and NHL risk in East Asians, in whom the descriptive characteristics of NHL and the prevalence of certain viral infections differ compared to Western populations.
Methods: We conducted a nested case-control study of 214 NHL cases and 214 controls from three population-based prospective cohorts in Shanghai and Singapore. Cases and controls were individually matched by age, sex, date of blood draw, and cohort. Antibodies to 21 antigens associated with the evaluated viruses (herpesviruses, Hepatitis B (HBV) and C (HCV), and polyomaviruses) were measured in plasma/serum using fluorescent bead-based multiplex serology. Conditional logistic regression was used to evaluate associations between viral antibody levels measured as median fluorescence intensity and NHL.
Results: For herpesviruses, an increased risk of NHL was observed for higher compared to lower early antigen diffuse (EA-D) (OR = 2.2, 95% CI = 1.2-4.1) and BZLF1-encoded replication activator (ZEBRA) (OR = 2.2, 95% CI = 1.0-4.9) antibodies (rsp = +0.5) associated with EBV. An increased risk of NHL was also observed among those seropositive for the intermediate-early 1A antigen (OR = 1.9, 95% CI = 1.0-3.3; rsp with EBV antibodies = +0.2) associated with human herpesvirus-6 (HHV-6). For hepatitis viruses, a significant NHL risk was observed for higher compared to lower antibodies to the HBV-associated core (HBc) antigen (OR = 1.8, 95% CI = 1.1-3.1), and this risk was particularly apparent in those with the highest HBc and EBV EA-D antibody levels (OR = 4.2, 95% CI = 1.4-12.7) compared to the lowest. Seropositivity to HCV was low (1.4% cases; 0.9% controls). No associations with NHL risk were observed for individual polyomaviruses (BK, JC, TSV, MCV). Discussion: Our study of serologic markers of infection and NHL risk in three prospective population-based studies of Chinese individuals suggests a role of specific viral agents in lymphomagenesis. The findings for EBV are consistent with some data from Western cohorts and indicate that EBV reactivation may be associated with NHL risk in the Chinese general population. HHV-6 is a lymphotropic virus that has been observed in some retrospective studies to be associated with lymphoma, but to our knowledge has not previously been associated with NHL prospectively in the general population. HBV is endemic to regions of East Asia, including China, and our data suggest that high levels of antibodies to the HBc antigen may be a marker for NHL risk.
Citation Format: Bryan A. Bassig, Angelika Michel, Xiao-Ou Shu, Woon-Puay Koh, Yu-Tang Gao, Lesley M. Butler, Mark Purdue, Yong-Bing Xiang, Jennifer Adams-Haduch, Renwei Wang, Nicole Brenner, Tim Waterboer, Martina Willhauck-Fleckenstein, Bu-Tian Ji, H. Dean Hosgood, Charles S. Rabkin, Jason Y.Y. Wong, Jinming Zhang, Wei Hu, Gong Yang, Wong-Ho Chow, Michael Pawlita, Wei Zheng, Jian-Min Yuan, Qing Lan, Nathaniel Rothman. Serologic markers of infection and risk of non-Hodgkin lymphoma in a pooled prospective study of three Chinese cohorts [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4245. doi:10.1158/1538-7445.AM2017-4245
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Affiliation(s)
| | | | - Xiao-Ou Shu
- 3Vanderbilt University School of Medicine, Nashville, TN
| | | | | | | | | | - Yong-Bing Xiang
- 7Shanghai Cancer Institute, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | | | - Renwei Wang
- 6University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Nicole Brenner
- 2German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tim Waterboer
- 2German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | | | | | | | | | | | - Gong Yang
- 3Vanderbilt University School of Medicine, Nashville, TN
| | - Wong-Ho Chow
- 9The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Wei Zheng
- 3Vanderbilt University School of Medicine, Nashville, TN
| | - Jian-Min Yuan
- 6University of Pittsburgh Cancer Institute, Pittsburgh, PA
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