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Fisher JA, Medgyesi DN, Deziel NC, Nuckols JR, Ward MH, Jones RR. Residential proximity to dioxin-emitting facilities and risk of non-Hodgkin lymphoma in the NIH-AARP Diet and Health Study. ENVIRONMENT INTERNATIONAL 2024; 188:108767. [PMID: 38795658 PMCID: PMC11218044 DOI: 10.1016/j.envint.2024.108767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/19/2024] [Accepted: 05/20/2024] [Indexed: 05/28/2024]
Abstract
BACKGROUND Polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs) are persistent organic pollutants emitted from industrial sources. Residential proximity to these emissions has been associated with risk of non-Hodgkin lymphoma (NHL) in a limited number of studies. METHODS We evaluated associations between residential proximity to PCDD/F-emitting facilities and NHL in the NIH-AARP Diet and Health Study (N = 451,410), a prospective cohort enrolled in 1995-1996 in 6 states and 2 U.S. cities. We linked enrollment addresses with a U.S. Environmental Protection Agency database of 4,478 historical PCDD/F sources with estimated toxic equivalency quotient (TEQ) emissions. We evaluated associations between NHL and exposures during a historical period prior to enrollment (1980-1995) using an average emissions index, weighted by toxicity, distance, and wind direction (AEI-W [g TEQ/km2]) within 3-, 5- and 10 km of residences. We also evaluated proximity-only metrics indicating the presence/absence of one or more facilities within each distance, and metrics calculated separately for each facility type. We used Cox regression to estimate associations (hazard ratio, HR; 95 % confidence interval, 95 %CI) with NHL and major subtypes, adjusting for demographic, lifestyle, and dietary factors. RESULTS A total of 6,467 incident cases of NHL were diagnosed through 2011. Participants with an AEI-W ≥ 95th percentile had elevated risk of NHL compared to those unexposed at 3 km (HR = 1.16; 95 %CI = 0.89-1.52; p-trend = 0.24), 5 km (HR = 1.20;95 %CI = 0.99-1.46;p-trend = 0.05) and 10 km (HR = 1.15; 95 %CI = 0.99-1.34; p-trend = 0.04). We found a positive association at 5 km with follicular lymphoma (HR≥95vs.0 = 1.62; 95 %CI = 0.98-2.67; p-trend = 0.05) and a suggestive association for diffuse large B-cell lymphoma (HR≥95vs.0 = 1.40; 95 %CI = 0.91-2.14; p-trend = 0.11). NHL risk was also associated with high emissions from coal-fired power plants within 10 km (HR≥95vs.0 = 1.42; 95 %CI = 1.09-1.84; p-trend = 0.05). CONCLUSIONS Residential proximity to relatively high dioxin emissions from industrial sources may increase the risk of NHL and specific subtypes.
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Affiliation(s)
- Jared A Fisher
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Danielle N Medgyesi
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Nicole C Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - John R Nuckols
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; JRN Environmental Health Sciences, Ltd, North Bethesda, MD, USA
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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2
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Gaspard E, Frenoy P, Praud D, Coudon T, Grassot L, Assi AA, Fervers B, Gelot A, Mancini FR, Severi G, Besson C, Faure E. Association between cumulative airborne dioxin exposure and non-Hodgkin's lymphoma risk in a nested case-control study within the French E3N cohort. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 906:167330. [PMID: 37778544 DOI: 10.1016/j.scitotenv.2023.167330] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 09/20/2023] [Accepted: 09/22/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND Dioxins are a family of chemical molecules that are chlorinated, lipophilic, and bio-accumulative. They are thought to enhance the risk of non-lymphoma Hodgkin's due to their known carcinogenic properties (NHL). This is the first epidemiological research to investigate the relationship between repeated emissions of airborne dioxin exposure and the risk of NHL. OBJECTIVE A case-control study nested within the French E3N cohort of 98,995 women covered by the health insurance provider of the national education system evaluated the association between cumulative airborne dioxin exposure and NHL risk. MATERIALS AND METHODS NHL incident cases (368) and controls (368) were compared. Over the duration of the study, participants' residential histories and the locations of industrial sites were gathered (1990-2008). Using a Geographic Information System (GIS)-based exposure index, the cumulative exposure to airborne dioxins for each participant was calculated at the individual address level. The odds ratios (OR) and 95 % confidence intervals (CI) were calculated using multivariable conditional logistic regression models (CI). RESULTS The log-transformed continuous cumulative dioxin exposure index was substantially correlated with the risk of NHL (OR1.2 (95 % CI 1.0,1.4) for an increase in log-TEQ/m2 of 4.4, or one standard deviation). The combined chronic lymphocytic leukemia (CLL) and small lymphocytic lymphoma (SLL) subtype was significantly associated with NHL histological subtypes (OR 1.6 (95 % CI 1.1,2.3)). CONCLUSION The findings of this study demonstrate a significant positive correlation between cumulative airborne dioxin exposure and the risk of NHL in women, and more specifically, a significant positive association for the CLL & SLL subtype. These results help to support the attempts to reduce the exposure to dioxins in the air.
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Affiliation(s)
- Elizabeth Gaspard
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France
| | - Pauline Frenoy
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France
| | - Delphine Praud
- Département Cancer Environnement, Centre Léon Bérard, 28 rue Laënnec, 69373 Lyon Cedex 08, France; INSERM, U1296 Unit, "Radiation: Defense, Health and Environment", Centre Léon Bérard, 28 rue Laënnec, 69073 Lyon cedex 8, France; Inserm U1052, Centre de Recherche en Cancérologie de Lyon, 28 rue Laënnec, 69373 Lyon Cedex 08, France
| | - Thomas Coudon
- Département Cancer Environnement, Centre Léon Bérard, 28 rue Laënnec, 69373 Lyon Cedex 08, France; INSERM, U1296 Unit, "Radiation: Defense, Health and Environment", Centre Léon Bérard, 28 rue Laënnec, 69073 Lyon cedex 8, France; Inserm U1052, Centre de Recherche en Cancérologie de Lyon, 28 rue Laënnec, 69373 Lyon Cedex 08, France
| | - Lény Grassot
- Département Cancer Environnement, Centre Léon Bérard, 28 rue Laënnec, 69373 Lyon Cedex 08, France; INSERM, U1296 Unit, "Radiation: Defense, Health and Environment", Centre Léon Bérard, 28 rue Laënnec, 69073 Lyon cedex 8, France; Inserm U1052, Centre de Recherche en Cancérologie de Lyon, 28 rue Laënnec, 69373 Lyon Cedex 08, France
| | - Aline Abou Assi
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France; Centre de Recherche en Épidémiologie et StatistiqueS (CRESS Inserm U1153), INRAE, Université Paris Cité, Paris, France
| | - Béatrice Fervers
- Département Cancer Environnement, Centre Léon Bérard, 28 rue Laënnec, 69373 Lyon Cedex 08, France; INSERM, U1296 Unit, "Radiation: Defense, Health and Environment", Centre Léon Bérard, 28 rue Laënnec, 69073 Lyon cedex 8, France; Inserm U1052, Centre de Recherche en Cancérologie de Lyon, 28 rue Laënnec, 69373 Lyon Cedex 08, France
| | - Amandine Gelot
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France
| | | | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France; Department of Statistics, Computer Science, Applications "G. Parenti", University of Florence, 50134 Florence, Italy
| | - Caroline Besson
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France; Centre Hospitalier de Versailles, 78150 Le Chesnay, France
| | - Elodie Faure
- Université Paris-Saclay, UVSQ, Inserm, Gustave Roussy, CESP, 94805 Villejuif, France.
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Lequy E, Meyer C, Vienneau D, Berr C, Goldberg M, Zins M, Leblond S, de Hoogh K, Jacquemin B. Modeling exposure to airborne metals using moss biomonitoring in cemeteries in two urban areas around Paris and Lyon in France. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 303:119097. [PMID: 35257806 DOI: 10.1016/j.envpol.2022.119097] [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: 12/15/2021] [Revised: 02/14/2022] [Accepted: 03/01/2022] [Indexed: 06/14/2023]
Abstract
Exposure of the general population to airborne metals remains poorly estimated despite the potential health risks. Passive moss biomonitoring can proxy air quality at fine resolution over large areas, mainly in rural areas. We adapted the technique to urban areas to develop fine concentration maps for several metals for Constances cohort's participants. We sampled Grimmia pulvinata in 77 and 51 cemeteries within ∼50 km of Paris and Lyon city centers, respectively. We developed land-use regression models for 14 metals including cadmium, lead, and antimony; potential predictors included the amount of urban, agricultural, forest, and water around cemeteries, population density, altitude, and distance to major roads. We used both kriging with external drift and land use regression followed by residual kriging when necessary to derive concentration maps (500 × 500 m) for each metal and region. Both approaches led to similar results. The most frequent predictors were the amount of urban, agricultural, or forest areas. Depending on the metal, the models explained part of the spatial variability, from 6% for vanadium in Lyon to 84% for antimony in Paris, but mostly between 20% and 60%, with better results for metals emitted by human activities. Moss biomonitoring in cemeteries proves efficient for obtaining airborne metal exposures in urban areas for the most common metals.
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Affiliation(s)
- Emeline Lequy
- Unité "Cohortes en Population" UMS 011 Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France.
| | - Caroline Meyer
- UMS 2006 Patrimoine Naturel, OFB-CNRS-MNHN, Muséum national d'Histoire naturelle, Paris, France
| | - Danielle Vienneau
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Claudine Berr
- University of Montpellier, Inserm, INM (Institute of Neurosciences of Montpellier) U1198, Montpellier, France; Memory Research and Resources Center, Department of Neurology, Montpellier, France
| | - Marcel Goldberg
- Unité "Cohortes en Population" UMS 011 Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Marie Zins
- Unité "Cohortes en Population" UMS 011 Inserm/Université de Paris/Université Paris Saclay/UVSQ, Villejuif, France
| | - Sébastien Leblond
- UMS 2006 Patrimoine Naturel, OFB-CNRS-MNHN, Muséum national d'Histoire naturelle, Paris, France
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland
| | - Bénédicte Jacquemin
- Univ Rennes, Inserm, EHESP, Irset (Institut de recherche en santé, environnement et travail) - UMR_S 1085, Rennes, France
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4
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Exposure to airborne cadmium and breast cancer stage, grade and histology at diagnosis: findings from the E3N cohort study. Sci Rep 2021; 11:23088. [PMID: 34845239 PMCID: PMC8630221 DOI: 10.1038/s41598-021-01243-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/14/2021] [Indexed: 11/08/2022] Open
Abstract
Molecular studies suggest that cadmium due to its estrogenic properties, might play a role in breast cancer (BC) progression. However epidemiological evidence is limited. This study explored the association between long-term exposure to airborne cadmium and risk of BC by stage, grade of differentiation, and histological types at diagnosis. A nested case-control study of 4401 cases and 4401 matched controls was conducted within the French E3N cohort. A Geographic Information System (GIS)-based metric demonstrated to reliably characterize long-term environmental exposures was employed to evaluate airborne exposure to cadmium. Multivariable adjusted odds ratios (OR) and 95% confidence intervals (CI) were estimated using conditional logistic regression models. There was no relationship between cadmium exposure and stage of BC. Also, no association between cadmium exposure and grade of differentiation of BC was observed. However, further analyses by histological type suggested a positive association between cadmium and risk of invasive tubular carcinoma (ITC) BC [ORQ5 vs Q1 = 3.4 (95% CI 1.1-10.7)]. The restricted cubic spline assessment suggested a dose-response relationship between cadmium and ITC BC subtype. Our results do not support the hypothesis that airborne cadmium exposure may play a role in advanced BC risk, but suggest that cadmium may be associated with an increased risk of ITC.
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Gasca-Sanchez FM, Santuario-Facio SK, Ortiz-López R, Rojas-Martinez A, Mejía-Velázquez GM, Garza-Perez EM, Hernández-Hernández JA, López-Sánchez RDC, Cardona-Huerta S, Santos-Guzman J. Spatial interaction between breast cancer and environmental pollution in the Monterrey Metropolitan Area. Heliyon 2021; 7:e07915. [PMID: 34584999 PMCID: PMC8450205 DOI: 10.1016/j.heliyon.2021.e07915] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 07/03/2021] [Accepted: 08/31/2021] [Indexed: 11/26/2022] Open
Abstract
This research examines the spatial structure of a sample of breast cancer (BC) cases and their spatial interaction with contaminated areas in the Monterrey Metropolitan Area (MMA). By applying spatial statistical techniques that treat the space as a continuum, degrees of spatial concentration were determined for the different study groups, highlighting their concentration pattern. The results indicate that 65 percent of the BC sample had exposure to more than 56 points of PM10. Likewise, spatial clusters of BC cases of up to 39 cases were identified within a radius of 3.5 km, interacting spatially with environmental contamination sources, particularly with refineries, food processing plants, cement, and metals. This study can serve as a platform for other clinical research by identifying geographic clusters that can help focus health policy efforts.
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Affiliation(s)
- Francisco Manuel Gasca-Sanchez
- Universidad de Monterrey, Escuela de Negocios, Departamento de Economia, Morones Prieto Av. 4500 Pte., San Pedro Garza García, Nuevo Leon, 66238, Mexico
- Tecnologico de Monterrey, Escuela de Medicina, Morones Prieto Av, 3000, Los Doctores, Monterrey, Nuevo Leon, 64710, Mexico
| | - Sandra Karina Santuario-Facio
- Tecnologico de Monterrey, Escuela de Medicina, Morones Prieto Av, 3000, Los Doctores, Monterrey, Nuevo Leon, 64710, Mexico
| | - Rocío Ortiz-López
- Tecnologico de Monterrey, Escuela de Medicina, Morones Prieto Av, 3000, Los Doctores, Monterrey, Nuevo Leon, 64710, Mexico
| | - Augusto Rojas-Martinez
- Tecnologico de Monterrey, Escuela de Medicina, Morones Prieto Av, 3000, Los Doctores, Monterrey, Nuevo Leon, 64710, Mexico
| | - Gerardo Manuel Mejía-Velázquez
- Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Eugenio Garza Sada Av, 2501, Tecnologico, Monterrey, Nuevo Leon, 64849, Mexico
| | - Erick Meinardo Garza-Perez
- Tecnologico de Monterrey, Escuela de Medicina, Morones Prieto Av, 3000, Los Doctores, Monterrey, Nuevo Leon, 64710, Mexico
| | | | - Rosa del Carmen López-Sánchez
- Tecnologico de Monterrey, Escuela de Medicina, Morones Prieto Av, 3000, Los Doctores, Monterrey, Nuevo Leon, 64710, Mexico
| | - Servando Cardona-Huerta
- Tecnologico de Monterrey, Hospital Zambrano Helion TecSalud, Av. Batallon de San Patricio 112, Real San Agustín, San Pedro Garza García, N.L., 66278, Mexico
| | - Jesús Santos-Guzman
- Tecnologico de Monterrey, Escuela de Medicina, Morones Prieto Av, 3000, Los Doctores, Monterrey, Nuevo Leon, 64710, Mexico
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6
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Zhai Y, Amadou A, Mercier C, Praud D, Faure E, Iwaz J, Severi G, Mancini FR, Coudon T, Fervers B, Roy P. The impact of left truncation of exposure in environmental case-control studies: evidence from breast cancer risk associated with airborne dioxin. Eur J Epidemiol 2021; 37:79-93. [PMID: 34254231 DOI: 10.1007/s10654-021-00776-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Accepted: 06/15/2021] [Indexed: 12/24/2022]
Abstract
In epidemiology, left-truncated data may bias exposure effect estimates. We analyzed the bias induced by left truncation in estimating breast cancer risk associated with exposure to airborne dioxins. Simulations were run with exposure estimates from a Geographic Information System (GIS)-based metric and considered two hypotheses for historical exposure, three scenarios for intra-individual correlation of annual exposures, and three exposure-effect models. For each correlation/model combination, 500 nested matched case-control studies were simulated and data fitted using a conditional logistic regression model. Bias magnitude was assessed by estimated odds-ratios (ORs) versus theoretical relative risks (TRRs) comparisons. With strong intra-individual correlation and continuous exposure, left truncation overestimated the Beta parameter associated with cumulative dioxin exposure. Versus a theoretical Beta of 4.17, the estimated mean Beta (5%; 95%) was 73.2 (67.7; 78.8) with left-truncated exposure and 4.37 (4.05; 4.66) with lifetime exposure. With exposure categorized in quintiles, the TRR was 2.0, the estimated ORQ5 vs. Q1 2.19 (2.04; 2.33) with truncated exposure versus 2.17 (2.02; 2.32) with lifetime exposure. However, the difference in exposure between Q5 and Q1 was 18× smaller with truncated data, indicating an important overestimation of the dose effect. No intra-individual correlation resulted in effect dilution and statistical power loss. Left truncation induced substantial bias in estimating breast cancer risk associated with exposure with continuous and categorical models. With strong intra-individual exposure correlation, both models detected associations, but categorical models provided better estimates of effect trends. This calls for careful consideration of left truncation-induced bias in interpreting environmental epidemiological data.
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Affiliation(s)
- Yue Zhai
- Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.,Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.,Laboratoire de Biométrie Et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France.,Université Claude Bernard Lyon 1, Lyon, France
| | - Amina Amadou
- Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.,Inserm U1296 Radiations: Défense, Santé, Environnement, 28 Rue Laënnec, 69373, Lyon Cedex 08, France
| | - Catherine Mercier
- Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.,Laboratoire de Biométrie Et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France.,Université Claude Bernard Lyon 1, Lyon, France
| | - Delphine Praud
- Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.,Inserm U1296 Radiations: Défense, Santé, Environnement, 28 Rue Laënnec, 69373, Lyon Cedex 08, France
| | - Elodie Faure
- Centre de Recherche en Epidémiologie Et Santé Des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France
| | - Jean Iwaz
- Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.,Laboratoire de Biométrie Et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France.,Université Claude Bernard Lyon 1, Lyon, France
| | - Gianluca Severi
- Centre de Recherche en Epidémiologie Et Santé Des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France.,Department of Statistics, Computer Science and Applications (DISIA), University of Florence, Florence, Italy
| | - Francesca Romana Mancini
- Centre de Recherche en Epidémiologie Et Santé Des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France
| | - Thomas Coudon
- Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France.,Inserm U1296 Radiations: Défense, Santé, Environnement, 28 Rue Laënnec, 69373, Lyon Cedex 08, France
| | - Béatrice Fervers
- Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France. .,Inserm U1296 Radiations: Défense, Santé, Environnement, 28 Rue Laënnec, 69373, Lyon Cedex 08, France.
| | - Pascal Roy
- Service de Biostatistique-Bioinformatique, Pôle Santé Publique, Hospices Civils de Lyon, Lyon, France.,Laboratoire de Biométrie Et Biologie Évolutive, CNRS UMR 5558, Villeurbanne, France.,Université Claude Bernard Lyon 1, Lyon, France
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7
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Amadou A, Coudon T, Praud D, Salizzoni P, Leffondre K, Lévêque E, Boutron-Ruault MC, Danjou AMN, Morelli X, Le Cornet C, Perrier L, Couvidat F, Bessagnet B, Caudeville J, Faure E, Mancini FR, Gulliver J, Severi G, Fervers B. Chronic Low-Dose Exposure to Xenoestrogen Ambient Air Pollutants and Breast Cancer Risk: XENAIR Protocol for a Case-Control Study Nested Within the French E3N Cohort. JMIR Res Protoc 2020; 9:e15167. [PMID: 32930673 PMCID: PMC7525465 DOI: 10.2196/15167] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 01/14/2020] [Accepted: 01/22/2020] [Indexed: 12/24/2022] Open
Abstract
Background Breast cancer is the most frequent cancer in women in industrialized countries. Lifestyle and environmental factors, particularly endocrine-disrupting pollutants, have been suggested to play a role in breast cancer risk. Current epidemiological studies, although not fully consistent, suggest a positive association of breast cancer risk with exposure to several International Agency for Research on Cancer Group 1 air-pollutant carcinogens, such as particulate matter, polychlorinated biphenyls (PCB), dioxins, Benzo[a]pyrene (BaP), and cadmium. However, epidemiological studies remain scarce and inconsistent. It has been proposed that the menopausal status could modify the relationship between pollutants and breast cancer and that the association varies with hormone receptor status. Objective The XENAIR project will investigate the association of breast cancer risk (overall and by hormone receptor status) with chronic exposure to selected air pollutants, including particulate matter, nitrogen dioxide (NO2), ozone (O3), BaP, dioxins, PCB-153, and cadmium. Methods Our research is based on a case-control study nested within the French national E3N cohort of 5222 invasive breast cancer cases identified during follow-up from 1990 to 2011, and 5222 matched controls. A questionnaire was sent to all participants to collect their lifetime residential addresses and information on indoor pollution. We will assess these exposures using complementary models of land-use regression, atmospheric dispersion, and regional chemistry-transport (CHIMERE) models, via a Geographic Information System. Associations with breast cancer risk will be modeled using conditional logistic regression models. We will also study the impact of exposure on DNA methylation and interactions with genetic polymorphisms. Appropriate statistical methods, including Bayesian modeling, principal component analysis, and cluster analysis, will be used to assess the impact of multipollutant exposure. The fraction of breast cancer cases attributable to air pollution will be estimated. Results The XENAIR project will contribute to current knowledge on the health effects of air pollution and identify and understand environmental modifiable risk factors related to breast cancer risk. Conclusions The results will provide relevant evidence to governments and policy-makers to improve effective public health prevention strategies on air pollution. The XENAIR dataset can be used in future efforts to study the effects of exposure to air pollution associated with other chronic conditions. International Registered Report Identifier (IRRID) DERR1-10.2196/15167
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Affiliation(s)
- Amina Amadou
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France.,Inserm UA 08 Radiations: Défense, Santé, Environnement, Lyon, France
| | - Thomas Coudon
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France.,Ecole Centrale de Lyon, INSA, Université Claude Bernard Lyon 1, Ecully, France
| | - Delphine Praud
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France.,Inserm UA 08 Radiations: Défense, Santé, Environnement, Lyon, France
| | - Pietro Salizzoni
- Ecole Centrale de Lyon, INSA, Université Claude Bernard Lyon 1, Ecully, France
| | - Karen Leffondre
- ISPED, Inserm U1219, Bordeaux Population Health Center, Université de Bordeaux, Bordeaux, France
| | - Emilie Lévêque
- ISPED, Inserm U1219, Bordeaux Population Health Center, Université de Bordeaux, Bordeaux, France
| | - Marie-Christine Boutron-Ruault
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Faculté de Médecine, Université Paris-Saclay, Villejuif, France
| | - Aurélie M N Danjou
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France
| | - Xavier Morelli
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France
| | - Charlotte Le Cornet
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France.,Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lionel Perrier
- Univ Lyon, Centre Léon Bérard, GATE L-SE UMR 5824, Lyon, France
| | - Florian Couvidat
- National Institute for industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France
| | - Bertrand Bessagnet
- National Institute for industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France
| | - Julien Caudeville
- National Institute for industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France
| | - Elodie Faure
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France
| | - Francesca Romana Mancini
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Faculté de Médecine, Université Paris-Saclay, Villejuif, France
| | - John Gulliver
- Centre for Environmental Health and Sustainability, School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom
| | - Gianluca Severi
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Faculté de Médecine, Université Paris-Saclay, Villejuif, France
| | - Béatrice Fervers
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France.,Inserm UA 08 Radiations: Défense, Santé, Environnement, Lyon, France
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Tang L, Xue XD, Bo X, Jia M, Guo J, Tian J, Huang MT, Cui WG, Wang T, Li SB, Jing H, Zhen RQ, Sun L, Cheng GQ. [Contribution of Emissions from the Iron and Steel Industry to Air Quality in China]. HUAN JING KE XUE= HUANJING KEXUE 2020; 41:2981-2994. [PMID: 32608870 DOI: 10.1016/j.atmosenv.2020.117668] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
Based on the data from a continuous emission monitoring systems network in 2015, this study analyzed the compliance rates of exhaust gas in the processes of China's iron and steel industry, and established a high-resolution steel plant emission inventory for China (HSEC, 2015), based on the bottom-up method. The contribution of emissions from the iron and steel industry to regional air quality was quantitatively simulated using a CAMx model. The results showed that in 2015, the total emissions of SO2, NOx, PM10, PM2.5, PCDD/Fs, VOCs, CO, BC, OC, EC, and F were 374800 t, 720500 t, 334800 t, 150300 t, 1.91 kg, 842900 t, 34788500 t, 6400 t, 8300 t, 800 t, and 7700 t, respectively. From a regional perspective, the iron and steel industry in Shanghai and Tianjin has the highest emission intensity per unit area and contributes a high proportion to regional air pollution. From a process perspective, in 2015, the exhaust concentration of flue gas in the main process gradually decreased, with a high compliance rate, and the emission factor significantly decreased to lower than that in the existing research results. From a species perspective, in 2015, NOx emission from the steel industry contributed the most to regional air quality, and there is therefore a great emission reduction potential for NOx.
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Affiliation(s)
- Ling Tang
- School of Economics and Management, Beihang University, Beijing 100191, China
- School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China
| | - Xiao-da Xue
- School of Economics and Management, Beihang University, Beijing 100191, China
- Appraisal Centre for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China
| | - Xin Bo
- Appraisal Centre for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China
| | - Min Jia
- School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China
- Appraisal Centre for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China
| | - Jing Guo
- School of Economics and Management, Beihang University, Beijing 100191, China
- Appraisal Centre for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China
| | - Jun Tian
- Academy of Environmental Planning & Design, Co., Ltd., Nanjing University, Nanjing 210093, China
| | - Man-Tang Huang
- Academy of Environmental Planning & Design, Co., Ltd., Nanjing University, Nanjing 210093, China
| | - Wei-Geng Cui
- School of Earth Sciences and Resources, Chang'an University, Xi'an 710054, China
| | - Tong Wang
- Shaanxi Environmental Investigation and Assessment Center, Xi'an 710000, China
| | - Shi-Bei Li
- Appraisal Centre for Environment and Engineering, Ministry of Ecology and Environment, Beijing 100012, China
| | - Hong Jing
- China National Environmental Monitoring Centre, Beijing 100012, China
| | - Rui-Qing Zhen
- MCC Capital Engineering & Research Incorporation Limited, Beijing 100176, China
| | - Lu Sun
- Center for Social and Environmental Systems Research, National Institute for Environmental Studies, Ibaraki 305-8506, Japan
| | - Guo-Qing Cheng
- Hebei Zhengrun Environmental Technology Co., Ltd., Shijiazhuang 050091, China
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Parvizimehr A, Baghani AN, Hoseini M, Sorooshian A, Cuevas-Robles A, Fararouei M, Dehghani M, Delikhoon M, Barkhordari A, Shahsavani S, Badeenezhad A. On the nature of heavy metals in PM10 for an urban desert city in the Middle East: Shiraz, Iran. Microchem J 2020. [DOI: 10.1016/j.microc.2020.104596] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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10
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Amadou A, Praud D, Coudon T, Danjou AMN, Faure E, Leffondré K, Le Romancer M, Severi G, Salizzoni P, Mancini FR, Fervers B. Chronic long-term exposure to cadmium air pollution and breast cancer risk in the French E3N cohort. Int J Cancer 2020; 146:341-351. [PMID: 30851122 DOI: 10.1002/ijc.32257] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Accepted: 02/18/2019] [Indexed: 12/26/2022]
Abstract
Cadmium, due to its estrogen-like activity, has been suspected to increase the risk of breast cancer; however, epidemiological studies have reported inconsistent findings. We conducted a case-control study (4,059 cases and 4,059 matched controls) nested within the E3N French cohort study to estimate the risk of breast cancer associated with long-term exposure to airborne cadmium pollution, and its effect according to molecular subtype of breast cancer (estrogen receptor negative/positive [ER-/ER+] and progesterone receptor negative/positive [PR-/PR+]). Atmospheric exposure to cadmium was assessed using a Geographic Information System-based metric, which included subject's residence-to-cadmium source distance, wind direction, exposure duration and stack height. Adjusted odds ratios (OR) and 95% confidence intervals (CI) were estimated using conditional logistic regression. Overall, there was no significant association between cumulative dose of airborne cadmium exposure and the risk of overall, premenopausal and postmenopausal breast cancer. However, by ER and PR status, inverse associations were observed for ER- (ORQ5 vs. Q1 = 0.63; 95% CI: 0.41-0.95, ptrend = 0.043) and for ER-/PR- breast tumors (ORQ4 vs. Q1 = 0.62; 95% CI: 0.40-0.95, ORQ5 vs. Q1 = 0.68; 95% CI: 0.42-1.07, ptrend = 0.088). Our study provides no evidence of an association between exposure to cadmium and risk of breast cancer overall but suggests that cadmium might be related to a decreased risk of ER- and ER-/PR- breast tumors. These observations and other possible effects linked to hormone receptor status warrant further investigations.
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Affiliation(s)
- Amina Amadou
- Department of Cancer and Environment, Centre Léon Bérard, Lyon, France
- Inserm UA 08 Radiations: Défense, Santé, Environnement, 69008 Lyon, France
| | - Delphine Praud
- Department of Cancer and Environment, Centre Léon Bérard, Lyon, France
- Inserm U1052, CNRS UMR5286, Université Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France
| | - Thomas Coudon
- Department of Cancer and Environment, Centre Léon Bérard, Lyon, France
- Ecole Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, Ecully, France
| | - Aurélie M N Danjou
- Section of Environment and Radiation, International Agency for Research on Cancer (IARC), Lyon, France
| | - Elodie Faure
- Department of Cancer and Environment, Centre Léon Bérard, Lyon, France
| | - Karen Leffondré
- Université de Bordeaux, ISPED, Centre Inserm U1219 Bordeaux Population Health, Bordeaux, France
| | - Muriel Le Romancer
- Inserm U1052, CNRS UMR5286, Université Claude Bernard Lyon 1, Cancer Research Center of Lyon, Lyon, France
| | - Gianluca Severi
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France
| | - Pietro Salizzoni
- Ecole Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, Ecully, France
| | - Francesca Romana Mancini
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France
| | - Béatrice Fervers
- Department of Cancer and Environment, Centre Léon Bérard, Lyon, France
- Inserm UA 08 Radiations: Défense, Santé, Environnement, 69008 Lyon, France
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Loftus C, Afsharinejad Z, Sampson P, Vedal S, Torres E, Arias G, Tchong-French M, Karr C. Estimated time-varying exposures to air emissions from animal feeding operations and childhood asthma. Int J Hyg Environ Health 2019; 223:187-198. [PMID: 31543304 DOI: 10.1016/j.ijheh.2019.09.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 09/08/2019] [Accepted: 09/08/2019] [Indexed: 11/24/2022]
Abstract
BACKGROUND/AIM Industrial-scale animal feeding operations (AFOs) have adverse impacts on regional air quality. Air emissions include endotoxins and other pro-inflammatory components, and exposure may cause airway inflammation and respiratory effects in susceptible individuals residing nearby. We aimed to develop and validate metrics for estimating time-varying exposure to AFO air pollution in surrounding communities and, secondly, to determine whether exposure is associated with health effects in children with asthma. METHODS We conducted a longitudinal panel study of N = 58 children with asthma in an agricultural region of Washington State with a high density of dairy AFOs. Children were followed for up to 26 months with repeated measures of respiratory health (N = 2023 interviews; N = 3853 lung function measurements); urine was collected in a subcohort (N = 16) at six-day intervals over three months and analyzed for leukotriene E4 (LTE4), a biomarker of systemic inflammation (N = 138 measurements). We developed an approach to estimate daily exposure to AFO airborne emissions based on distance to AFOs, AFO size, and daily wind speed and direction, and validated the estimates against direct measurements of ammonia, a chemical marker of AFO emissions, measured biweekly at 18 sites across the region for 14 months. Short-term relationships between AFO pollutant exposure and outcomes were assessed using regression models accounting for within-participant correlation and several potential confounders. RESULTS Estimates of daily AFO air pollution correlated moderately well with outdoor ammonia measurements (N = 842; r = 0.62). Forced expiratory volume in 1 s (FEV1) as percent of predicted was 2.0% (95% CI: 0.5, 3.5) lower with each interquartile increase in previous day exposure, but no associations with asthma symptoms were observed. There was suggestive evidence that LTE4 concentrations were higher following days of elevated exposure to AFO emissions (p = 0.06). CONCLUSIONS A simple metric of time-varying exposure to AFO emissions was correlated with daily outdoor ammonia levels. Children with asthma may be adversely affected by exposure to AFO emissions.
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Affiliation(s)
- Christine Loftus
- Department of Environmental and Occupational Health Sciences, School of Public Health, Box 357234, University of Washington, Seattle, WA, 98195, United States.
| | - Zahra Afsharinejad
- Department of Environmental and Occupational Health Sciences, School of Public Health, Box 357234, University of Washington, Seattle, WA, 98195, United States
| | - Paul Sampson
- Department of Statistics, College of Arts and Sciences, Box 354322, University of Washington, Seattle, WA, 98195, United States
| | - Sverre Vedal
- Department of Environmental and Occupational Health Sciences, School of Public Health, Box 357234, University of Washington, Seattle, WA, 98195, United States
| | - Elizabeth Torres
- Northwest Communities Education Center, Radio KDNA, 121 Sunnyside Ave, Granger, WA, 98932, United States
| | - Griselda Arias
- Yakima Valley Farm Workers Clinic, Yakima, WA, United States
| | - Maria Tchong-French
- Department of Environmental and Occupational Health Sciences, School of Public Health, Box 357234, University of Washington, Seattle, WA, 98195, United States
| | - Catherine Karr
- Department of Environmental and Occupational Health Sciences, School of Public Health, Box 357234, University of Washington, Seattle, WA, 98195, United States; Department of Pediatrics, School of Medicine, Box 356320, University of Washington, Seattle, WA, 98195, United States
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