Herbicide use in farming and other jobs in relation to non-Hodgkin's lymphoma (NHL) risk.

Autor:	De Roos AJ; Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA aderoos@drexel.edu., Fritschi L; School of Population Health, Curtin University, Perth, Western Australia, Australia., Ward MH; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA., Monnereau A; Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, University of Bordeaux, Bordeaux, France.; Epidemiology of Childhood and Adolescent Cancers Group, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), INSERM, Paris, France., Hofmann J; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA., Bernstein L; Division of Biomarkers of Early Detection and Prevention, Beckman Research Institute of City of Hope, City of Hope Comprehensive Cancer Center, Duarte, California, USA., Bhatti P; Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada., Benavente Moreno Y; Cancer Epidemiology Research Program, Institut Català d'Oncologia (ICO)/Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.; Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain., Benke G; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia., Casabonne D; Cancer Epidemiology Research Program, Institut Català d'Oncologia (ICO)/Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.; Centro de Investigación Biomédica en Red: Epidemiología y Salud Pública (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain., Clavel J; Epidemiology of Childhood and Adolescent Cancers Group, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), INSERM, Paris, France., Cocco P; Centre for Occupational and Environmental Health, Division of Population Health, University of Manchester, Manchester, UK.; Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy., Huynh T; Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA., 't Mannetje A; Centre for Public Health Research, Massey University, Wellington, New Zealand., Miligi L; Environmental and Occupational Epidemiology Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy., Piro S; Environmental and Occupational Epidemiology Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy., Rothman N; Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA., Schinasi LH; Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA., Vajdic CM; The Kirby Institute, University of New South Wales, Kensington, New South Wales, Australia., Wang SS; Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope Comprehensive Cancer Center, Duarte, California, USA., Zhang Y; National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China., Slager SL; Department of Quantitative Health Sciences, Division of Computational Biology, Mayo Clinic, Rochester, Minnesota, USA.; Department of Medicine, Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA., Cerhan JR; Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
Jazyk:	angličtina
Zdroj:	Occupational and environmental medicine [Occup Environ Med] 2022 Dec; Vol. 79 (12), pp. 795-806. Date of Electronic Publication: 2022 Oct 07.
DOI:	10.1136/oemed-2022-108371
Abstrakt:	Objectives: Given mixed evidence for carcinogenicity of current-use herbicides, we studied the relationship between occupational herbicide use and risk of non-Hodgkin's lymphoma (NHL) in a large, pooled study. Methods: We pooled data from 10 case-control studies participating in the International Lymphoma Epidemiology Consortium, including 9229 cases and 9626 controls from North America, the European Union and Australia. Herbicide use was coded from self-report or by expert assessment in the individual studies, for herbicide groups (eg, phenoxy herbicides) and active ingredients (eg, 2,4-dichlorophenoxyacetic acid (2,4-D), glyphosate). The association between each herbicide and NHL risk was estimated using logistic regression to produce ORs and 95% CIs, with adjustment for sociodemographic factors, farming and other pesticides. Results: We found no substantial association of all NHL risk with ever-use of any herbicide (OR=1.10, 95% CI: 0.94 to 1.29), nor with herbicide groups or active ingredients. Elevations in risk were observed for NHL subtypes with longer duration of phenoxy herbicide use, such as for any phenoxy herbicide with multiple myeloma (>25.5 years, OR=1.78, 95% CI: 0.74 to 4.27), 2,4-D with diffuse large B-cell lymphoma (>25.5 years, OR=1.47, 95% CI: 0.67 to 3.21) and other (non-2,4-D) phenoxy herbicides with T-cell lymphoma (>6 years, lagged 10 years, OR=3.24, 95% CI: 1.03 to 10.2). An association between glyphosate and follicular lymphoma (lagged 10 years: OR=1.48, 95% CI: 0.98 to 2.25) was fairly consistent across analyses. Conclusions: Most of the herbicides examined were not associated with NHL risk. However, associations of phenoxy herbicides and glyphosate with particular NHL subtypes underscore the importance of estimating subtype-specific risks. Competing Interests: Competing interests: None declared. (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Databáze:	MEDLINE
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