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Zhu L, Jia X, Xie H, Zhang J, Zhu Q. Trichloroethylene exposure, multi-organ injury, and potential mechanisms: A narrative review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174029. [PMID: 38944297 DOI: 10.1016/j.scitotenv.2024.174029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 06/13/2024] [Accepted: 06/13/2024] [Indexed: 07/01/2024]
Abstract
Trichloroethylene (TCE) is a common environmental pollutant and industrial chemical that has been associated with adverse health effects, especially on organ systems. The purpose of this review is to summarize the current findings on organ system damage caused by TCE exposure and the underlying mechanisms involved. Numerous studies have shown that TCE exposure may cause damage to multiple organ systems, mainly the skin, liver, kidney, and circulatory system. The mechanisms leading to TCE-induced organ system damage are complex and diverse. TCE is metabolized in vivo to reactive intermediates, through which TCE can induce oxidative stress, interfere with cell signaling pathways, and promote inflammatory responses. In addition, studies have shown that TCE interferes with DNA repair mechanisms, leading to genotoxicity and potentially carcinogenic effects. This review highlights the importance of understanding the deleterious effects of TCE exposure on organ systems and provides insights into the underlying mechanisms involved. Further research is needed to elucidate the full range of organ system damage caused by TCE and to develop effective prevention and treatment strategies.
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Affiliation(s)
- Lifu Zhu
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, PR China
| | - Xueqian Jia
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, PR China
| | - Haibo Xie
- Institute of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, PR China; Key Laboratory of Dermatology, Ministry of Education, The First Affiliated Hospital of Anhui Medical University, Hefei, PR China
| | - Jiaxiang Zhang
- Department of Occupational Health and Environmental Health, School of Public Health, Anhui Medical University, Hefei, PR China; The Center for Scientific Research, AnhuiMedical University, Hefei, Anhui, China.
| | - Qixing Zhu
- Institute of Dermatology, The First Affiliated Hospital of Anhui Medical University, Hefei, PR China; Key Laboratory of Dermatology, Ministry of Education, The First Affiliated Hospital of Anhui Medical University, Hefei, PR China.
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Bove FJ, Greek A, Gatiba R, Boehm RC, Mohnsen MM. Evaluation of mortality among Marines, Navy personnel, and civilian workers exposed to contaminated drinking water at USMC base Camp Lejeune: a cohort study. Environ Health 2024; 23:61. [PMID: 38961410 PMCID: PMC11221020 DOI: 10.1186/s12940-024-01099-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 06/19/2024] [Indexed: 07/05/2024]
Abstract
BACKGROUND Drinking water at U.S. Marine Corps Base (MCB) Camp Lejeune, North Carolina was contaminated with trichloroethylene and other industrial solvents from 1953 to 1985. METHODS A cohort mortality study was conducted of Marines/Navy personnel who, between 1975 and 1985, began service and were stationed at Camp Lejeune (N = 159,128) or MCB Camp Pendleton, California (N = 168,406), and civilian workers employed at Camp Lejeune (N = 7,332) or Camp Pendleton (N = 6,677) between October 1972 and December 1985. Camp Pendleton's drinking water was not contaminated with industrial solvents. Mortality follow-up was between 1979 and 2018. Proportional hazards regression was used to calculate adjusted hazard ratios (aHRs) comparing mortality rates between Camp Lejeune and Camp Pendleton cohorts. The ratio of upper and lower 95% confidence interval (CI) limits, or CIR, was used to evaluate the precision of aHRs. The study focused on underlying causes of death with aHRs ≥ 1.20 and CIRs ≤ 3. RESULTS Deaths among Camp Lejeune and Camp Pendleton Marines/Navy personnel totaled 19,250 and 21,134, respectively. Deaths among Camp Lejeune and Camp Pendleton civilian workers totaled 3,055 and 3,280, respectively. Compared to Camp Pendleton Marines/Navy personnel, Camp Lejeune had aHRs ≥ 1.20 with CIRs ≤ 3 for cancers of the kidney (aHR = 1.21, 95% CI: 0.95, 1.54), esophagus (aHR = 1.24, 95% CI: 1.00, 1.54) and female breast (aHR = 1.20, 95% CI: 0.73, 1.98). Causes of death with aHRs ≥ 1.20 and CIR > 3, included Parkinson disease, myelodysplastic syndrome and cancers of the testes, cervix and ovary. Compared to Camp Pendleton civilian workers, Camp Lejeune had aHRs ≥ 1.20 with CIRs ≤ 3 for chronic kidney disease (aHR = 1.88, 95% CI: 1.13, 3.11) and Parkinson disease (aHR = 1.21, 95% CI: 0.72, 2.04). Female breast cancer had an aHR of 1.19 (95% CI: 0.76, 1.88), and aHRs ≥ 1.20 with CIRs > 3 were observed for kidney and pharyngeal cancers, melanoma, Hodgkin lymphoma, and chronic myeloid leukemia. Quantitative bias analyses indicated that confounding due to smoking and alcohol consumption would not appreciably impact the findings. CONCLUSION Marines/Navy personnel and civilian workers likely exposed to contaminated drinking water at Camp Lejeune had increased hazard ratios for several causes of death compared to Camp Pendleton.
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Affiliation(s)
- Frank J Bove
- Office of Community Health and Hazard Assessment, Health Studies Section, Agency for Toxic Substances and Disease Registry (ATSDR)/CDC, 6558 Parkside Way, Chamblee, GA, 30084, USA.
| | - April Greek
- Health Research and Analytics Division, Battelle Memorial Institute, Charlottesville, VA, USA
| | - Ruth Gatiba
- Health Research and Analytics Division, Battelle Memorial Institute, Charlottesville, VA, USA
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Francisco LFV, da Silva RN, Oliveira MA, Dos Santos Neto MF, Gonçalves IZ, Marques MMC, Silveira HCS. Occupational Exposures and Risks of Non-Hodgkin Lymphoma: A Meta-Analysis. Cancers (Basel) 2023; 15:cancers15092600. [PMID: 37174074 PMCID: PMC10177442 DOI: 10.3390/cancers15092600] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/10/2023] [Accepted: 04/14/2023] [Indexed: 05/15/2023] Open
Abstract
Non-Hodgkin lymphoma (NHL) is a heterogeneous group with different types of diseases. It remains unclear as to what has led to an increase in incidences of NHL, however, chemical substance exposure is known to be one of the risk factors for the disease. Therefore, we performed a systematic review and meta-analysis including case-control, cohort, and cross-sectional observational epidemiological studies to verify the association between occupational exposure to carcinogens and NHL risk. Articles between the years 2000 and 2020 were collected. Two different reviewers performed a blind selection of the studies using the Rayyan QCRI web app. Post-completion, the selected articles were extracted and analyzed via the RedCap platform. Our review resulted in 2719 articles, of which 51 were included in the meta-analysis, resulting in an overall OR of 1.27 (95% CI 1.04-1.55). Furthermore, it was observed that the main occupation associated with the increased risk of NHL was that in which workers are exposed to pesticides. We therefore conclude that the evidence synthesis of the epidemiological literature supports an increased risk for NHL, regardless of subtype, considering occupational exposure to certain chemical compounds, mainly pesticides, benzene, and trichlorethylene, and certain classes of work, primarily in the field of agriculture.
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Affiliation(s)
| | - Rogério Nunes da Silva
- Postgraduate Program in Environment and Health, University of Cuiabá, Cuiabá 78008-000, MT, Brazil
| | - Marco Antônio Oliveira
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-390, SP, Brazil
| | | | | | - Márcia M C Marques
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-390, SP, Brazil
| | - Henrique C S Silveira
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-390, SP, Brazil
- Postgraduate Program in Environment and Health, University of Cuiabá, Cuiabá 78008-000, MT, Brazil
- Campus São Paulo, University of Anhanguera, São Paulo 04119-901, SP, Brazil
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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. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2022; 63:423-428. [PMID: 36346153 DOI: 10.1002/em.22518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 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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Georgakopoulou R, Fiste O, Sergentanis TN, Andrikopoulou A, Zagouri F, Gavriatopoulou M, Psaltopoulou T, Kastritis E, Terpos E, Dimopoulos MA. Occupational Exposure and Multiple Myeloma Risk: An Updated Review of Meta-Analyses. J Clin Med 2021; 10:4179. [PMID: 34575290 PMCID: PMC8469366 DOI: 10.3390/jcm10184179] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/09/2021] [Accepted: 09/13/2021] [Indexed: 12/09/2022] Open
Abstract
The precise etiology of multiple myeloma remains elusive, but both genetic and environmental factors have been suggested to contribute to disease risk. Several occupational categories and toxic agents have been implicated as potentially causative, yet findings from the literature are inconsistent. The aim of this review was to summarize and critically comment on the accumulated epidemiological evidence, across published meta-analyses, about the association between occupational exposure and risk of multiple myeloma. Overall, results from eleven meta-epidemiological studies underscore a significantly increased risk for firefighters, hairdressers, and employees exposed to engine exhaust, whereas farming and methylene chloride exposure have been non-significantly correlated with the disease. Further epidemiological studies are of utmost importance whilst emphasis should be placed on occupational hazard surveillance, as such studies will obtain a more accurate picture of disease occurrence in working populations, and will enable both the implementation of preventive actions and the evaluation of their effectiveness.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Evangelos Terpos
- Department of Clinical Therapeutics, School of Medicine, National and Kapodistrian University of Athens, 11528 Athens, Greece; (R.G.); (O.F.); (T.N.S.); (A.A.); (F.Z.); (M.G.); (T.P.); (E.K.); (M.A.D.)
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Odutola MK, Benke G, Fritschi L, Giles GG, van Leeuwen MT, Vajdic CM. A systematic review and meta-analysis of occupational exposures and risk of follicular lymphoma. ENVIRONMENTAL RESEARCH 2021; 197:110887. [PMID: 33607095 DOI: 10.1016/j.envres.2021.110887] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Revised: 02/03/2021] [Accepted: 02/10/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND The etiology of follicular lymphoma (FL), a common non-Hodgkin lymphoma subtype, is largely unknown. OBJECTIVE We performed a systematic review and meta-analysis of observational studies examining the relationship between occupational exposures and FL risk. METHODS We searched Ovid MEDLINE, Ovid EMBASE, and Web of Science for eligible observational studies examining job titles or occupational exposures prior to January 1, 2020. We performed a narrative synthesis and used random-effects models to generate meta-estimates of relative risk (RR) with 95% confidence intervals (95%CI) for exposures reported by three or more studies. RESULTS Fifty-eight studies were eligible. Ten cohort and 37 case-control studies quantified FL risk in relation to any exposure to one or more occupational groups or agents. Eight cohort and 19 case-control studies examined dose-response relationships. We found evidence of a positive association with increasing plasma concentration of dichlorodiphenyldichloroethylene (DDE; meta-RR = 1.51, 95%CI = 0.99, 2.31; I2 = 0.0%) and polychlorinated biphenyls (PCBs; meta-RR = 1.47, 95%CI = 0.97, 2.24; I2 = 8.6%). We observed a positive association with exposure to any solvent (meta-RR = 1.16, 95%CI = 1.00, 1.34; I2 = 0.0%) and chlorinated solvents (meta-RR = 1.35, 95%CI = 1.09, 1.68; I2 = 0.0%). Single studies reported a significant positive dose-response association for exposure to any pesticide, hexachlorobenzene, any organophosphate, diazinon, metolachlor, carbaryl, lindane, trichloroethylene, oils/greases, and extremely low-frequency magnetic fields. Job title-only analyses suggested increased risk for medical doctors and spray painters, and decreased risk for bakers and teachers. Overall, studies demonstrated low risk of bias, but most studies examined small numbers of exposed cases. CONCLUSIONS Current evidence indicates a positive association between FL and occupational exposure to DDE, PCBs, any solvent and chlorinated solvents. Our findings may help guide policies and practices on the safe use of solvents and inform models of lymphomagenesis. Future studies with larger sample sizes and comprehensive quantitative exposure measures may elucidate other avoidable carcinogenic exposures.
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Affiliation(s)
- Michael K Odutola
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Geza Benke
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Lin Fritschi
- School of Public Health, Curtin University, Perth, Western Australia, Australia
| | - Graham G Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia; Cancer Epidemiology and Intelligence Division, Cancer Council Victoria, Melbourne, Australia; Precision Medicine, School of Clinical Sciences at Monash Health Monash University, Melbourne, Australia
| | - Marina T van Leeuwen
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Claire M Vajdic
- Centre for Big Data Research in Health, University of New South Wales, Sydney, New South Wales, Australia.
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Linet MS, Gilbert ES, Vermeulen R, Dores GM, Yin SN, Portengen L, Hayes RB, Ji BT, Lan Q, Li GL, Rothman N. Benzene exposure-response and risk of lymphoid neoplasms in Chinese workers: A multicenter case-cohort study. Am J Ind Med 2020; 63:741-754. [PMID: 32474961 PMCID: PMC10986157 DOI: 10.1002/ajim.23142] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Revised: 05/15/2020] [Accepted: 05/18/2020] [Indexed: 12/16/2022]
Abstract
BACKGROUND While international agreement supports a causal relationship of benzene exposure with acute myeloid leukemia, there is debate about benzene and lymphoid neoplasm risks. METHODS In a case-cohort study with follow-up of 110 631 Chinese workers during 1972-1999, we evaluated benzene exposure-response for non-Hodgkin lymphoma (NHL), lymphoid leukemias (LL), acute lymphocytic leukemia (ALL), and total lymphoid neoplasms (LN). We estimated benzene exposures using state-of-the-art hierarchical modeling of occupational factors calibrated with historical routine measurements and evaluated cumulative exposure-response using Cox regression. RESULTS NHL and other specified LN were increased in exposed vs unexposed workers. However, there was no evidence of exposure-response for NHL or other specified LN. Based on a linear exposure-response, relative risks at 100 parts per million-years (RR at 100 ppm-years) for cumulative benzene exposure using a 2-year lag (exposure at least 2 years before the time at risk) were 1.05 for NHL (95 percent confidence interval (CI) = 0.97, 1.27; 32 cases), 1.11 for LL (95% CI < 0, 1.66; 12 cases), 1.21 for ALL (95% CI < 0, 3.53; 10 cases), and 1.02 for total LN (95% CI < 0, 1.16; 49 cases). No statistically significant exposure-response trends were apparent for these LN for 2 to <10-year or ≥10-year lags. NHL risks were not significantly modified by sex, age, or year at first exposure, attained age, or time since exposure. CONCLUSION Given the study strengths and limitations, we found little evidence of exposure-response for benzene and NHL, LL, ALL, or total LN, although NHL and other specified LN were increased in exposed vs unexposed individuals.
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Affiliation(s)
- Martha S. Linet
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Ethel S. Gilbert
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Roel Vermeulen
- Division of Environmental Epidemiology, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Graça M. Dores
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
- Analytic Epidemiology Branch, Division of Epidemiology, Office of Biostatistics and Epidemiology, Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Song-Nian Yin
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, 29 Nan Wei Road, Beijing, Peoples Republic of China
| | - Lutzen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | - Richard B. Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York, USA
| | - Bu-Tian Ji
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Qing Lan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
| | - Gui-Lan Li
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, 29 Nan Wei Road, Beijing, Peoples Republic of China
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Rockville, MD, USA
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Current status of development of methylation biomarkers for in vitro diagnostic IVD applications. Clin Epigenetics 2020; 12:100. [PMID: 32631437 PMCID: PMC7336678 DOI: 10.1186/s13148-020-00886-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 06/17/2020] [Indexed: 02/06/2023] Open
Abstract
A significant volume of research clearly shows that disease-related methylation changes can be used as biomarkers at all stages of clinical disease management, including risk assessment and predisposition screening through early diagnostics to personalization of patient care and monitoring of the relapse and chronic disease. Thus disease-related methylation changes are an attractive source of the biomarkers that can have significant impact on precision medicine. However, the translation of the research findings in methylation biomarkers field to clinical practice is at the very least not satisfactory. That is mainly because the evidence generated in research studies indicating the utility of the disease-related methylation change to predict clinical outcome is in majority of the cases not sufficient to postulate the diagnostic use of the biomarker. The research studies need to be followed by well-designed and systematic investigations of clinical utility of the biomarker that produce data of sufficient quality to meet regulatory approval for the test to be used to make clinically valid decision. In this review, we describe methylation-based IVD tests currently approved for IVD use or at the advanced stages of the development for the diagnostic use. For each of those tests, we analyze the technologies that the test utilizes for methylation detection as well as describe the types of the clinical studies that were performed to show clinical validity of the test and warrant regulatory approval. The examples reviewed here should help with planning of clinical investigations and delivery of the clinical evidence required for the regulatory approval of potential methylation biomarker based IVD tests.
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Baum JS, Norton AE. In Your Face: Consideration of higher risks for chemical exposure to persons with disabilities in laboratories. ACS CHEMICAL HEALTH & SAFETY 2019. [DOI: 10.1016/j.jchas.2019.05.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Trichloroethylene-induced downregulation of miR-199b-5p contributes to SET-mediated apoptosis in hepatocytes. Cell Biol Toxicol 2019; 35:565-572. [DOI: 10.1007/s10565-019-09479-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 05/16/2019] [Indexed: 10/26/2022]
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Assessing flammable storage cabinets as sources of VOC exposure in laboratories using real-time direct reading wireless detectors. ACS CHEMICAL HEALTH & SAFETY 2018; 25:2-9. [PMID: 34136018 DOI: 10.1016/j.jchas.2018.01.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Herein we present the results of measurements using wireless direct-reading photoionization detector-based gas sensors to quantify concentrations of vapors of volatile organic compounds (VOCs) in and around flammable storage cabinets containing common organic solvents, including acetone, dichloromethane, trichloroethylene, and benzene. Such cabinets are commonly employed in laboratories to contain flammable liquids. A sensor array was deployed in a series of flammable storage cabinets in working laboratories. Measurements in cabinets containing bottles of typical solvents demonstrate that vapor concentrations gradually increase upon closing the cabinet door. The results suggest that these storage units can be a source of vapors of VOCs in laboratories and the unnecessary exposure of laboratory workers to chemical vapors. Ventilation of cabinets tended to lower maximum concentrations of VOCs. However, the efficacy of this engineering control was found to depend on the quality of the cabinet door seal, as well as having debris-free flame arrestors. Opening cabinet doors resulted in release of vapors to the laboratory atmosphere, which represents an unnecessary exposure risk for workers. A countermeasure aimed at improving the seal of previously opened solvent bottles reduced measured concentrations of VOCs in cabinets below the detector's limit of detection.
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Callahan CL, Stewart PA, Friesen MC, Locke S, De Roos AJ, Cerhan JR, Severson RK, Rothman N, Purdue MP. Case-control investigation of occupational exposure to chlorinated solvents and non-Hodgkin's lymphoma. Occup Environ Med 2018; 75:415-420. [PMID: 29588333 PMCID: PMC10364142 DOI: 10.1136/oemed-2017-104890] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2017] [Revised: 02/08/2018] [Accepted: 03/13/2018] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Although many studies have investigated the association between trichloroethylene (TCE) exposure and non-Hodgkin's lymphoma (NHL), less is known about other chlorinated solvents. We extended our previous analysis of occupational TCE exposure in a multicentre population-based case-control study of NHL to investigate associations with five additional chlorinated solvents: 1,1,1,-trichloroethane, carbon tetrachloride, chloroform, methylene chloride and perchloroethylene. METHODS Cases (n=1189) and controls (n=982) provided detailed information on their occupational histories and workplace exposure to chlorinated solvents for selected occupations using job-specific interview modules. An industrial hygienist used this information and a review of the literature to assess occupational exposure to chlorinated solvents. We computed ORs and 95% CIs for different exposure metrics, with the unexposed group as the referent. We also computed ORs by NHL subtype. RESULTS High cumulative hours exposed to carbon tetrachloride was associated with NHL (>520 hours: OR 1.9; 95% CI 1.0 to 3.6; Ptrend=0.04). This association remained after restricting to jobs with high-intensity exposure (OR 2.0; 95% CI 1.1 to 3.8; P=0.03) and ≥90% exposure probability (OR 2.1; 95% CI 1.0 to 4.3; P=0.03), adjusting for TCE (OR 2.1; 95% CI 1.0- to 4.1; P=0.04) and incorporating a 15-year lag (OR 1.9; 95% CI 1.0 to 3.6; P=0.06). The other evaluated chlorinated solvents were not associated with NHL. CONCLUSIONS This is the first study using high-quality quantitative exposure assessment methods to identify a statistically significant elevated association between occupational exposure to carbon tetrachloride and NHL. Our findings, although limited by a small number of exposed cases, offer evidence that carbon tetrachloride may be a lymphomagen.
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Affiliation(s)
- Catherine L Callahan
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | | | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Sarah Locke
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Anneclaire J De Roos
- Department of Environmental and Occupational Health, Drexel University School of Public Health, Philadelphia, Pennsylvania, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, Michigan, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland, USA
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De La Rosa VY, Asfaha J, Fasullo M, Loguinov A, Li P, Moore LE, Rothman N, Nakamura J, Swenberg JA, Scelo G, Zhang L, Smith MT, Vulpe CD. Editor's Highlight: High-Throughput Functional Genomics Identifies Modulators of TCE Metabolite Genotoxicity and Candidate Susceptibility Genes. Toxicol Sci 2017; 160:111-120. [PMID: 28973557 PMCID: PMC5837773 DOI: 10.1093/toxsci/kfx159] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Trichloroethylene (TCE), an industrial chemical and environmental contaminant, is a human carcinogen. Reactive metabolites are implicated in renal carcinogenesis associated with TCE exposure, yet the toxicity mechanisms of these metabolites and their contribution to cancer and other adverse effects remain unclear. We employed an integrated functional genomics approach that combined functional profiling studies in yeast and avian DT40 cell models to provide new insights into the specific mechanisms contributing to toxicity associated with TCE metabolites. Genome-wide profiling studies in yeast identified the error-prone translesion synthesis (TLS) pathway as an import mechanism in response to TCE metabolites. The role of TLS DNA repair was further confirmed by functional profiling in DT40 avian cell lines, but also revealed that TLS and homologous recombination DNA repair likely play competing roles in cellular susceptibility to TCE metabolites in higher eukaryotes. These DNA repair pathways are highly conserved between yeast, DT40, and humans. We propose that in humans, mutagenic TLS is favored over homologous recombination repair in response to TCE metabolites. The results of these studies contribute to the body of evidence supporting a mutagenic mode of action for TCE-induced renal carcinogenesis mediated by reactive metabolites in humans. Our approach illustrates the potential for high-throughput in vitro functional profiling in yeast to elucidate toxicity pathways (molecular initiating events, key events) and candidate susceptibility genes for focused study.
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Affiliation(s)
- Vanessa Y. De La Rosa
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, California 94720
| | - Jonathan Asfaha
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, California 94720
| | - Michael Fasullo
- Colleges of Nanoscale Science and Engineering, State University of New York Polytechnic Institute, Albany, New York 12205
| | - Alex Loguinov
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, California 94720
| | - Peng Li
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Lee E. Moore
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Jun Nakamura
- Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | | | - Ghislaine Scelo
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Luoping Zhang
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California 94720
| | - Martyn T. Smith
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California 94720
| | - Chris D. Vulpe
- Department of Nutritional Sciences and Toxicology, University of California, Berkeley, California 94720
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14
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Ren X, Huang X, Yang X, Liu Y, Liu W, Huang H, Wu D, Zou F, Liu J. SET mediates TCE-induced liver cell apoptosis through dephosphorylation and upregulation of nucleolin. Oncotarget 2017; 8:40958-40966. [PMID: 28402964 PMCID: PMC5522280 DOI: 10.18632/oncotarget.16785] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Accepted: 02/12/2017] [Indexed: 01/21/2023] Open
Abstract
Trichloroethylene (TCE) is an occupational and environmental chemical that can cause severe hepatotoxicity. While our previous studies showed that the phosphatase inhibitor SET is a key mediator of TCE-induced liver cell apoptosis, the molecular mechanisms remain elusive. Using quantitative phosphoproteomic analysis, we report here that nucleolin is a SET-regulated phosphoprotein in human liver HL-7702 cells. Functional analysis suggested that SET promoted dephosphorylation of nucleolin, decreased its binding to its transcriptional activator, c-myc, and upregulated nucleolin expression in TCE-treated cells. Importantly, TCE-induced hepatocyte apoptosis was significantly attenuated when nucleolin was downregulated with specific siRNAs. These findings indicate that TCE may induce hepatocyte apoptosis via SET-mediated dephosphorylation and overexpression of nucleolin.
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Affiliation(s)
- Xiaohu Ren
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Xinfeng Huang
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Xifei Yang
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Yungang Liu
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Wei Liu
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Haiyan Huang
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Desheng Wu
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
| | - Fei Zou
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Jianjun Liu
- Key Laboratory of Modern Toxicology of Shenzhen, Shenzhen Center for Disease Control and Prevention, Shenzhen, 518055, China
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15
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Talibov M, Auvinen A, Weiderpass E, Hansen J, Martinsen JI, Kjaerheim K, Tryggvadottir L, Pukkala E. Occupational solvent exposure and adult chronic lymphocytic leukemia: No risk in a population-based case-control study in four Nordic countries. Int J Cancer 2017; 141:1140-1147. [PMID: 28571111 DOI: 10.1002/ijc.30814] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 05/15/2017] [Accepted: 05/23/2017] [Indexed: 11/11/2022]
Abstract
The aim of this study was to assess the effect of occupational solvent exposure on the risk of adult chronic lymphocytic leukemia (CLL). The current case-control study was nested in the Nordic Occupational Cancer Study (NOCCA) cohort. 20,615 CLL cases diagnosed in 1961-2005 in Finland, Iceland, Norway, and Sweden, and 103,075 population-based controls matched by year of birth, sex, and country were included. Occupational histories for cases and controls were obtained from census records in 1960, 1970, 1980/1981, and 1990. Exposure to selected solvents was estimated by using the NOCCA job-exposure matrix (NOCCA-JEM). Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated by using conditional logistic regression models. Overall, nonsignificant CLL risk elevations were observed for methylene chloride, perchloroethylene, and 1,1,1-trichloroethane. Compared to unexposed, significantly increased risks were observed for cumulative perchloroethylene exposure ≤13.3 ppm-years (OR = 1.85, 95% CI 1.16-2.96) and average life-time perchloroethylene exposure ≤2.5 ppm (1.61, 95% CI 1.01-2.56) among women, and cumulative methylene chloride exposure ≤12.5 ppm-years (OR = 1.19, 95% CI 1.01-1.41) and 12.5-74.8 ppm-years (OR = 1.23, 95% CI 1.01-1.51) among men in an analysis with 5 years lag-time, though without dose-response pattern. Decreased CLL risk was observed for aliphatic and alicyclic hydrocarbon solvents and toluene. This study did not support associations for solvent exposure and CLL. Observed weak associations for methylene chloride, perchloroethylene, 1,1,1-trichloroethane exposures, aliphatic and alicyclic hydrocarbons and toluene were not consistent across sexes, and showed no gradient with amount of exposure.
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Affiliation(s)
- Madar Talibov
- Faculty of Social Sciences, University of Tampere, Tampere, Finland
| | - Anssi Auvinen
- Faculty of Social Sciences, University of Tampere, Tampere, Finland
| | - Elisabete Weiderpass
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Research, Cancer Registry of Norway, Institute of Population-Based Cancer Research, Oslo, Norway.,Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway.,Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland
| | - Johnni Hansen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | | | | | - Laufey Tryggvadottir
- Icelandic Cancer Registry, Reykjavik, Iceland.,Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Eero Pukkala
- Faculty of Social Sciences, University of Tampere, Tampere, Finland.,Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
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16
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Metayer C, Scelo G, Kang AY, Gunier RB, Reinier K, Lea S, Chang JS, Selvin S, Kirsch J, Crouse V, Does M, Quinlan P, Hammond SK. A task-based assessment of parental occupational exposure to organic solvents and other compounds and the risk of childhood leukemia in California. ENVIRONMENTAL RESEARCH 2016; 151:174-183. [PMID: 27494537 PMCID: PMC5071154 DOI: 10.1016/j.envres.2016.06.047] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 06/22/2016] [Accepted: 06/30/2016] [Indexed: 05/22/2023]
Abstract
PURPOSE Data on parental occupational exposures and risk of childhood leukemia lack specificity. Using 19 task-based job modules, we examined the relationship between occupational exposure to organic solvents and other compounds and the risk of leukemia in children. METHODS Latino (48%) and non-Latino (52%) children with acute lymphoblastic leukemia (ALL; n=670), acute myeloid leukemia (AML; n=104), and controls (n=1021) were enrolled in a study in California (2000-2008). Logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs), adjusted for socio-demographic factors. RESULTS Among children with non-Latino fathers, none of the exposures evaluated were associated with risks of ALL and AML. In contrast, exposure to any organic solvents in Latino fathers was associated with an increased risk of childhood ALL (OR=1.48; 95% CI: 1.01-2.16); in multivariable analyses, the OR for chlorinated hydrocarbons was 2.28 (95% CI: 0.97-5.37) while the ORs were close to one for aromatic hydrocarbons, glycol ethers, and other hydrocarbon mixtures. We also observed an increased risk of ALL with exposure to combustion exhaust/polycyclic aromatic hydrocarbons (PAHs) (ORs=1.70; 95% CI: 1.16-2.57, and 1.46; 95% CI: 0.94-2.26 with and without adjustment for chlorinated hydrocarbons, respectively). Moderately elevated risks of ALL were seen with exposure to metals, paints, and wood dust, although not statistically significant. An increased risk was reported for asbestos based on small numbers of exposed Latino fathers. No associations were reported between maternal exposures to any exposures and childhood ALL and AML. CONCLUSIONS Our data support associations between paternal occupational exposures to chlorinated hydrocarbons, combustion exhaust, metals, and possibly asbestos and the risk of ALL in the children of Latino fathers only.
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Affiliation(s)
- Catherine Metayer
- University of California, Berkeley, School of Public Health, Division of Epidemiology, Berkeley, CA, USA.
| | | | - Alice Y Kang
- University of California, Berkeley, School of Public Health, Division of Epidemiology, Berkeley, CA, USA
| | - Robert B Gunier
- University of California, Berkeley, School of Public Health, Division of Environmental Health Sciences, Berkeley, CA, USA
| | - Kyndaron Reinier
- Cedars-Sinai Medical Center, Heart Institute, Los Angeles, CA, USA
| | - Suzanne Lea
- East Carolina University, Brody School of Medicine, Department of Public Health, Greenville, NC, USA
| | - Jeffrey S Chang
- National Institute of Cancer Research, National Health Research Institutes, Tainan, Taiwan
| | - Steve Selvin
- University of California, Berkeley, School of Public Health, Division of Epidemiology, Berkeley, CA, USA
| | - Janice Kirsch
- Medical oncologist and hematologist, Berkeley, CA, USA
| | | | - Monique Does
- Division of Research, the Permanente Medical Group, Oakland, CA, USA
| | - Patricia Quinlan
- University of California, San Francisco, Department of Medicine, San Francisco, CA, USA
| | - S Katharine Hammond
- University of California, Berkeley, School of Public Health, Division of Environmental Health Sciences, Berkeley, CA, USA
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17
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Diumenjo MC, Abriata G, Forman D, Sierra MS. The burden of non-Hodgkin lymphoma in Central and South America. Cancer Epidemiol 2016; 44 Suppl 1:S168-S177. [PMID: 27678319 DOI: 10.1016/j.canep.2016.05.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2015] [Revised: 05/07/2016] [Accepted: 05/23/2016] [Indexed: 02/04/2023]
Abstract
RATIONALE AND OBJECTIVE The burden of non-Hodgkin lymphoma (NHL) has increased in some Central and South American countries. We describe the current patterns and trends in NHL incidence and mortality in Central and South America. METHODS We obtained regional- and national-level incidence data from 48 population-based cancer registries in 13 countries, and national-level cancer mortality data from the WHO mortality database for 18 countries. We estimated world population age-standardized incidence rates (ASRs) and mortality rates (ASMRs) per 100,000 person-years for 2003-2007, and presented distributions by histological subtype. RESULTS NHL incidence and mortality rates varied between countries by 2-8- and 6-fold, respectively. ASRs per 100,000 ranged from 1.4 to 10.9 among males and 1.3-9.2 among females. Corresponding ASMRs were between 0.5 and 4.8 among males and between 0.5 and 3.0 among females. The highest incidence was observed in Uruguay (males), Ecuador, Peru and Colombia (males). The highest mortality was seen in Uruguay and Costa Rica. Trends in NHL incidence and mortality in Argentina, Brazil, Chile and Costa Rica did not show marked changes. B-cell neoplasms and NHL not otherwise specified (NOS) accounted for 44% and 34% of all NHL cases. Diffuse large B-cell lymphoma, NOS, was the most frequent histological subtype. CONCLUSION The geographic variations in NHL rates may partially reflect differences in registration practices, disease classification, diagnostic practice, and death certification quality. There is a need for high-quality data and improvements in the accuracy of NHL histological diagnosis. Given the expected increase in NHL, careful monitoring of rates remains a priority to guide cancer control programs.
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Affiliation(s)
| | | | - David Forman
- International Agency for Research on Cancer, Section of Cancer Surveillance, France
| | - Monica S Sierra
- International Agency for Research on Cancer, Section of Cancer Surveillance, France.
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18
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Rieutort D, Moyne O, Cocco P, de Gaudemaris R, Bicout DJ. Ranking occupational contexts associated with risk of non-Hodgkin lymphoma. Am J Ind Med 2016; 59:561-74. [PMID: 27214653 DOI: 10.1002/ajim.22604] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2016] [Indexed: 01/27/2023]
Abstract
BACKGROUND Risk factors associated with non-Hodgkin lymphoma (NHL) remain unknown, but certain occupational contexts (OCs) have been implicated. The objective of this study was to inventory, from the accumulated knowledge, associations between OCs and NHL risk. METHODS Literature was used to identify the NHL-associated OCs. For each context, items were ranked both by scientific interest and the association strength. RESULTS Three ranked lists of OCs related to NHL were constructed. We found that NHL was associated with 31 occupational activities, 91 occupational exposures, and 35 occupational activity-exposure combinations. Among them, 5 activities, 2 exposures, and 3 combinations, involving agricultural or industrial sector and solvents or pesticides, were highlighted with the highest publications number and the strongest association with NHL risk. CONCLUSION These results could be useful in both providing a ranked inventory of OCs associated with NHL risk and highlighting "hot" occupational activities and exposures. Am. J. Ind. Med. 59:561-574, 2016. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Delphine Rieutort
- UJF-Grenoble 1/CNRS/TIMC-IMAG UMR 5525 (EPSP Team-Environment and Health Prediction of Populations); Grenoble France
| | - Oriane Moyne
- UJF-Grenoble 1/CNRS/TIMC-IMAG UMR 5525 (EPSP Team-Environment and Health Prediction of Populations); Grenoble France
| | - Pierluigi Cocco
- Department of Public Health, Clinical and Molecular Medicine, Occupational Health Section; University of Cagliari; Cagliari Italy
| | - Régis de Gaudemaris
- UJF-Grenoble 1/CNRS/TIMC-IMAG UMR 5525 (EPSP Team-Environment and Health Prediction of Populations); Grenoble France
- Occupational and Environmental Diseases Centre; Grenoble Teaching Hospital (CHU Grenoble); Grenoble France
| | - Dominique J. Bicout
- UJF-Grenoble 1/CNRS/TIMC-IMAG UMR 5525 (EPSP Team-Environment and Health Prediction of Populations); Grenoble France
- Biomathematics and Epidemiology EPSP-TIMC, VetAgro Sup; Veterinary Campus of Lyon; Marcy l'Etoile France
- Laue-Langevin Institute; Theory Group; Grenoble Cedex 9 France
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19
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Bassig BA, Zhang L, Vermeulen R, Tang X, Li G, Hu W, Guo W, Purdue MP, Yin S, Rappaport SM, Shen M, Ji Z, Qiu C, Ge Y, Hosgood HD, Reiss B, Wu B, Xie Y, Li L, Yue F, Freeman LEB, Blair A, Hayes RB, Huang H, Smith MT, Rothman N, Lan Q. Comparison of hematological alterations and markers of B-cell activation in workers exposed to benzene, formaldehyde and trichloroethylene. Carcinogenesis 2016; 37:692-700. [PMID: 27207665 DOI: 10.1093/carcin/bgw053] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2015] [Accepted: 04/27/2016] [Indexed: 01/19/2023] Open
Abstract
Benzene, formaldehyde (FA) and trichloroethylene (TCE) are ubiquitous chemicals in workplaces and the general environment. Benzene is an established myeloid leukemogen and probable lymphomagen. FA is classified as a myeloid leukemogen but has not been associated with non-Hodgkin lymphoma (NHL), whereas TCE has been associated with NHL but not myeloid leukemia. Epidemiologic associations between FA and myeloid leukemia, and between benzene, TCE and NHL are, however, still debated. Previously, we showed that these chemicals are associated with hematotoxicity in cross-sectional studies of factory workers in China, which included extensive personal monitoring and biological sample collection. Here, we compare and contrast patterns of hematotoxicity, monosomy 7 in myeloid progenitor cells (MPCs), and B-cell activation biomarkers across these studies to further evaluate possible mechanisms of action and consistency of effects with observed hematologic cancer risks. Workers exposed to benzene or FA, but not TCE, showed declines in cell types derived from MPCs, including granulocytes and platelets. Alterations in lymphoid cell types, including B cells and CD4+ T cells, and B-cell activation markers were apparent in workers exposed to benzene or TCE. Given that alterations in myeloid and lymphoid cell types are associated with hematological malignancies, our data provide biologic insight into the epidemiological evidence linking benzene and FA exposure with myeloid leukemia risk, and TCE and benzene exposure with NHL risk.
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Affiliation(s)
| | - Luoping Zhang
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands
| | | | - Guilan Li
- Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | | | - Weihong Guo
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | | | - Songnian Yin
- Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Stephen M Rappaport
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | | | - Zhiying Ji
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
| | - Chuangyi Qiu
- Guangdong Poison Control Center, Guangzhou, China
| | - Yichen Ge
- Guangdong Poison Control Center, Guangzhou, China
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Boris Reiss
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA and
| | - Banghua Wu
- Guangdong Poison Control Center, Guangzhou, China
| | - Yuxuan Xie
- Guangdong Poison Control Center, Guangzhou, China
| | - Laiyu Li
- Guangdong Poison Control Center, Guangzhou, China
| | - Fei Yue
- Guangdong Poison Control Center, Guangzhou, China
| | | | | | - Richard B Hayes
- Division of Epidemiology, Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Hanlin Huang
- Guangdong Poison Control Center, Guangzhou, China
| | - Martyn T Smith
- Division of Environmental Health Sciences, School of Public Health, University of California at Berkeley, Berkeley, CA, USA
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20
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Lymphome B chez un agent de maintenance. ARCH MAL PROF ENVIRO 2015. [DOI: 10.1016/j.admp.2015.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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21
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Sergentanis TN, Zagouri F, Tsilimidos G, Tsagianni A, Tseliou M, Dimopoulos MA, Psaltopoulou T. Risk Factors for Multiple Myeloma: A Systematic Review of Meta-Analyses. CLINICAL LYMPHOMA MYELOMA & LEUKEMIA 2015; 15:563-77.e1-3. [PMID: 26294217 DOI: 10.1016/j.clml.2015.06.003] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2015] [Accepted: 06/12/2015] [Indexed: 11/30/2022]
Abstract
The epidemiology of multiple myeloma (MM) is an increasingly investigated field, with many controversies. This systematic review aims to synthesize meta-analyses examining risk factors for MM so as to provide a comprehensive, parsimonious summary of the current evidence. Eligible meta-analyses were sought in PubMed adopting a predefined algorithm, without any restriction of publication language; end-of-search date was October 10, 2014. The selection of eligible studies and data extraction were performed by working in pairs, independently and blindly to each other; in case of disagreement, consensus with the whole team was reached. Among the 22 ultimately included meta-analyses, 9 examined occupational factors, 4 assessed aspects of lifestyle (smoking, alcohol, body mass index), 5 evaluated the presence of other diseases, and 4 addressed genetic factors as potential risk factors of MM. A vast compendium of significant associations arose, including farming, occupation as a firefighter, occupation as a hairdresser, exposures to chemicals or pesticides, overweight and obesity, patterns of alcohol intake, pernicious anemia, ankylosing spondylitis, gene promoter methylation, and polymorphisms. In conclusion, MM is a multifactorial disease, encompassing a wide variety of risk factors that span numerous life aspects. Further accumulation of evidence through meta-analyses is anticipated in this rapidly growing field.
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Affiliation(s)
- Theodoros N Sergentanis
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Flora Zagouri
- Department of Clinical Therapeutics, "Alexandra" Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Gerasimos Tsilimidos
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Anastasia Tsagianni
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Melina Tseliou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
| | - Meletios A Dimopoulos
- Department of Clinical Therapeutics, "Alexandra" Hospital, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
| | - Theodora Psaltopoulou
- Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece
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22
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Wang SS, Flowers CR, Kadin ME, Chang ET, Hughes AM, Ansell SM, Feldman AL, Lightfoot T, Boffetta P, Melbye M, Lan Q, Sampson JN, Morton LM, Zhang Y, Weisenburger DD. Medical history, lifestyle, family history, and occupational risk factors for peripheral T-cell lymphomas: the InterLymph Non-Hodgkin Lymphoma Subtypes Project. J Natl Cancer Inst Monogr 2015; 2014:66-75. [PMID: 25174027 DOI: 10.1093/jncimonographs/lgu012] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Accounting for 10%-15% of all non-Hodgkin lymphomas in Western populations, peripheral T-cell lymphomas (PTCL) are the most common T-cell lymphoma but little is known about their etiology. Our aim was to identify etiologic risk factors for PTCL overall, and for specific PTCL subtypes, by analyzing data from 15 epidemiologic studies participating in the InterLymph Consortium. METHODS A pooled analysis of individual-level data for 584 histologically confirmed PTCL cases and 15912 controls from 15 case-control studies conducted in Europe, North America, and Australia was undertaken. Data collected from questionnaires were harmonized to permit evaluation of a broad range of potential risk factors. Odds ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression. RESULTS Risk factors associated with increased overall PTCL risk with a P value less than .05 included: a family history of hematologic malignancies (OR = 1.92, 95% CI = 1.30 to 2.84); celiac disease (OR = 17.8, 95% CI = 8.61 to 36.79); eczema (OR = 1.41, 95% CI = 1.07 to 1.85); psoriasis (OR = 1.97, 95% CI = 1.17 to 3.32); smoking 40 or more years (OR = 1.92, 95% CI = 1.41 to 2.62); and employment as a textile worker (ever) (OR = 1.58, 95% CI = 1.05 to 2.38) and electrical fitter (ever) (OR = 2.89, 95% CI = 1.41 to 5.95). Exposures associated with reduced overall PTCL risk included a personal history of allergies (OR = 0.69, 95% CI = 0.54 to 0.87), alcohol consumption (ever) (OR = 0.64, 95% CI = 0.49 to 0.82), and having ever lived or worked on a farm (OR = 0.72, 95% CI = 0.55% to 0.95%). We also observed the well-established risk elevation for enteropathy-type PTCL among those with celiac disease in our data. Conclusions Our pooled analyses identified a number of new potential risk factors for PTCL and require further validation in independent series.
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Affiliation(s)
- Sophia S Wang
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW).
| | - Christopher R Flowers
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Marshall E Kadin
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Ellen T Chang
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Ann Maree Hughes
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Stephen M Ansell
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Andrew L Feldman
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Tracy Lightfoot
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Paolo Boffetta
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Mads Melbye
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Qing Lan
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Joshua N Sampson
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Lindsay M Morton
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Yawei Zhang
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Dennis D Weisenburger
- Department of Cancer Etiology, Beckman Research Institute of the City of Hope, Duarte, CA (SSW); Winship Cancer Institute, Emory University, Atlanta, GA (CRF); Department of Dermatology, Boston University, Boston, MA, Roger Williams Medical Center, Providence, RI (MEK); Health Sciences Practice, Exponent, Inc., Menlo Park, CA, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia (AMH); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SMA); Department of Laboratory Medicine and Pathology, Mayo Clinic Cancer Center, Rochester, MN (ALF); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); Tisch Cancer Institute, Mount Sinai School of Medicine, New York, NY (PB); Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (MM); Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD (QL, JNS, LMM); Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT (YZ); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
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23
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Mbulaiteye SM, Morton LM, Sampson JN, Chang ET, Costas L, de Sanjosé S, Lightfoot T, Kelly J, Friedberg JW, Cozen W, Marcos-Gragera R, Slager SL, Birmann BM, Weisenburger DD. Medical history, lifestyle, family history, and occupational risk factors for sporadic Burkitt lymphoma/leukemia: the Interlymph Non-Hodgkin Lymphoma Subtypes Project. J Natl Cancer Inst Monogr 2015; 2014:106-14. [PMID: 25174031 DOI: 10.1093/jncimonographs/lgu003] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The etiologic role of medical history, lifestyle, family history, and occupational risk factors in sporadic Burkitt lymphoma (BL) is unknown, but epidemiologic and clinical evidence suggests that risk factors may vary by age. METHODS We investigated risk factors for sporadic BL in 295 cases compared with 21818 controls in a pooled analysis of 18 case-control studies in the International Lymphoma Epidemiology Consortium (InterLymph). Cases were defined to include typical BL or Burkitt-like lymphoma. Odds ratios (ORs) and 95% confidence intervals (CIs) for associations were calculated separately for younger (<50 years) and older (≥ 50 years) BL using multivariate logistic regression. RESULTS Cases included 133 younger BL and 159 older BL (age was missing for three cases) and they were evenly split between typical BL (n = 147) and Burkitt-like lymphoma (n = 148). BL in younger participants was inversely associated with a history of allergy (OR = 0.58; 95% CI = 0.32 to 1.05), and positively associated with a history of eczema among individuals without other atopic conditions (OR = 2.54; 95% CI = 1.20 to 5.40), taller height (OR = 2.17; 95% CI = 1.08 to 4.36), and employment as a cleaner (OR = 3.49; 95% CI = 1.13 to 10.7). BL in older participants was associated with a history of hepatitis C virus seropositivity (OR = 4.19; 95% CI = 1.05 to 16.6) based on three exposed cases. Regardless of age, BL was inversely associated with alcohol consumption and positively associated with height. CONCLUSIONS Our data suggest that BL in younger and older adults may be etiologically distinct.
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Affiliation(s)
- Sam M Mbulaiteye
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW).
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Ellen T Chang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Laura Costas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Silvia de Sanjosé
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Tracy Lightfoot
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Jennifer Kelly
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Jonathan W Friedberg
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Wendy Cozen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Rafael Marcos-Gragera
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Susan L Slager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Brenda M Birmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
| | - Dennis D Weisenburger
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health Bethesda, MD (SMM, LMM, JNS); Center for Epidemiology and Computational Biology, Health Sciences Practice, Exponent, Inc, Menlo Park, CA, Division of Epidemiology, Department of Health Research and Policy, Stanford University School of Medicine, Stanford, CA (ETC); Unit of Infections and Cancer (UNIC), Cancer Epidemiology Research Programme, Institut Catala d'Oncologia, IDIBELL, Barcelona, Spain, CIBER Epidemiologia y Salud Publica, Barcelona, Spain (LC, SdS); Epidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK (TL); School of Medicine and Dentistry, University of Rochester, Rochester, NY (JK, JWF); Department of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA (WC); Descriptive Epidemiology, Genetics and Cancer Prevention Group, Girona Biomedical Research Institute, Catalan Institute of Oncology-Girona, Girona, Spain (RM-G); Department of Health Sciences Research, Mayo Clinic, Rochester, MN (SLS); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (BMB); Department of Pathology, City of Hope National Medical Center, Duarte, CA (DDW)
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Chaigne B, Lasfargues G, Marie I, Hüttenberger B, Lavigne C, Marchand-Adam S, Maillot F, Diot E. Primary Sjögren's syndrome and occupational risk factors: A case-control study. J Autoimmun 2015; 60:80-5. [PMID: 25963068 DOI: 10.1016/j.jaut.2015.04.004] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2015] [Revised: 04/10/2015] [Accepted: 04/15/2015] [Indexed: 01/27/2023]
Abstract
OBJECTIVES A case-control study was carried out to investigate the relation between primary Sjögren's syndrome (pSS) and occupational exposure. METHODS One hundred seventy five cases of pSS followed up into the internal medicine departments of three French university hospitals from 2010 to 2013 were included. For each case, two age and gender matched controls were selected during the same period in the same departments. Occupational exposure was assessed retrospectively by industrial hygienists and occupational practitioners. Exposure to occupational factors such as organic solvents or silica was investigated using semiquantitative estimates of exposure. An exposure score was calculated for each subject based on probability, intensity, daily frequency, and duration of exposure for each period of employment. The final cumulative exposure score was obtained, taking into account all periods of employment. RESULTS Significant associations with pSS were observed for dichloromethane (OR 9.28, 95%CI 2.60-33.03), perchlorethylene (OR 2.64, 95%CI 1.20-5.77) chlorinated solvents (OR 2.95, 95%CI 1.77-4.93), benzene (OR 3.30, 95%CI 1.07-10.26), toluene (OR 4.18 95%CI 1.41-12.43), white spirit (OR 3.60, 95%CI 1.39-9.33), aromatic solvents (OR 3.03, 95%CI 1.41-6.50) and any types of solvents (OR 2.76, 95%CI 1.70-4.47). Risk of pSS was significantly associated with a high cumulative exposure score of occupational exposure to toluene (OR 4.69, 95%CI 1.42-15.45), white spirit (OR 3.30, 95%CI 1.07-10.26), aromatic solvents (OR 2.50, 95%CI 1.06-5.91) and any types of solvents (OR 2.25, 95%CI 1.20-4.22). CONCLUSION This work suggests the influence of occupational risk factors in the occurrence of pSS.
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Affiliation(s)
- Benjamin Chaigne
- CHRU de Tours, Service de Médecine Interne, Université François-Rabelais de Tours, France.
| | - Gérard Lasfargues
- Institut de Santé au travail de Paris-Est, Université Paris-Est Créteil, France
| | - Isabelle Marie
- CHRU de Rouen, Service de Médecine Interne, Rouen, France
| | - Brigitte Hüttenberger
- CHRU de Tours, Service de Stomatologie et de Chirurgie Maxillo-Faciale, Tours, France
| | | | - Sylvain Marchand-Adam
- CHRU de Tours, Service de Pneumologie, Université François-Rabelais de Tours, France
| | - François Maillot
- CHRU de Tours, Service de Médecine Interne, Université François-Rabelais de Tours, France
| | - Elisabeth Diot
- CHRU de Tours, Service de Médecine Interne, Université François-Rabelais de Tours, France
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Chang ET, Boffetta P, Adami HO, Mandel JS. A critical review of the epidemiology of Agent Orange or 2,3,7,8-tetrachlorodibenzo-p-dioxin and lymphoid malignancies. Ann Epidemiol 2015; 25:275-292.e30. [DOI: 10.1016/j.annepidem.2015.01.002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2014] [Revised: 01/06/2015] [Accepted: 01/09/2015] [Indexed: 12/20/2022]
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Ilic M, Ilic I. Malignant lymphatic and hematopoietic neoplasms mortality in Serbia, 1991-2010: a joinpoint regression analysis. PLoS One 2014; 9:e109379. [PMID: 25333862 PMCID: PMC4204851 DOI: 10.1371/journal.pone.0109379] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2014] [Accepted: 09/02/2014] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Limited data on mortality from malignant lymphatic and hematopoietic neoplasms have been published for Serbia. METHODS The study covered population of Serbia during the 1991-2010 period. Mortality trends were assessed using the joinpoint regression analysis. RESULTS Trend for overall death rates from malignant lymphoid and haematopoietic neoplasms significantly decreased: by -2.16% per year from 1991 through 1998, and then significantly increased by +2.20% per year for the 1998-2010 period. The growth during the entire period was on average +0.8% per year (95% CI 0.3 to 1.3). Mortality was higher among males than among females in all age groups. According to the comparability test, mortality trends from malignant lymphoid and haematopoietic neoplasms in men and women were parallel (final selected model failed to reject parallelism, P = 0.232). Among younger Serbian population (0-44 years old) in both sexes: trends significantly declined in males for the entire period, while in females 15-44 years of age mortality rates significantly declined only from 2003 onwards. Mortality trend significantly increased in elderly in both genders (by +1.7% in males and +1.5% in females in the 60-69 age group, and +3.8% in males and +3.6% in females in the 70+ age group). According to the comparability test, mortality trend for Hodgkin's lymphoma differed significantly from mortality trends for all other types of malignant lymphoid and haematopoietic neoplasms (P<0.05). CONCLUSION Unfavourable mortality trend in Serbia requires targeted intervention for risk factors control, early diagnosis and modern therapy.
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Affiliation(s)
- Milena Ilic
- Department of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
| | - Irena Ilic
- Department of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia
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