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Purdue MP, Dutta D, Machiela MJ, Gorman BR, Winter T, Okuhara D, Cleland S, Ferreiro-Iglesias A, Scheet P, Liu A, Wu C, Antwi SO, Larkin J, Zequi SC, Sun M, Hikino K, Hajiran A, Lawson KA, Cárcano F, Blanchet O, Shuch B, Nepple KG, Margue G, Sundi D, Diver WR, Folgueira MAAK, van Bokhoven A, Neffa F, Brown KM, Hofmann JN, Rhee J, Yeager M, Cole NR, Hicks BD, Manning MR, Hutchinson AA, Rothman N, Huang WY, Linehan WM, Lori A, Ferragu M, Zidane-Marinnes M, Serrano SV, Magnabosco WJ, Vilas A, Decia R, Carusso F, Graham LS, Anderson K, Bilen MA, Arciero C, Pellegrin I, Ricard S, Scelo G, Banks RE, Vasudev NS, Soomro N, Stewart GD, Adeyoju A, Bromage S, Hrouda D, Gibbons N, Patel P, Sullivan M, Protheroe A, Nugent FI, Fournier MJ, Zhang X, Martin LJ, Komisarenko M, Eisen T, Cunningham SA, Connolly DC, Uzzo RG, Zaridze D, Mukeria A, Holcatova I, Hornakova A, Foretova L, Janout V, Mates D, Jinga V, Rascu S, Mijuskovic M, Savic S, Milosavljevic S, Gaborieau V, Abedi-Ardekani B, McKay J, Johansson M, Phouthavongsy L, Hayman L, Li J, Lungu I, Bezerra SM, Souza AG, Sares CTG, Reis RB, Gallucci FP, Cordeiro MD, Pomerantz M, Lee GSM, Freedman ML, Jeong A, Greenberg SE, Sanchez A, Thompson RH, Sharma V, Thiel DD, Ball CT, Abreu D, Lam ET, Nahas WC, Master VA, Patel AV, Bernhard JC, Freedman ND, Bigot P, Reis RM, Colli LM, Finelli A, Manley BJ, Terao C, Choueiri TK, Carraro DM, Houlston R, Eckel-Passow JE, Abbosh PH, Ganna A, Brennan P, Gu J, Chanock SJ. Multi-ancestry genome-wide association study of kidney cancer identifies 63 susceptibility regions. Nat Genet 2024:10.1038/s41588-024-01725-7. [PMID: 38671320 DOI: 10.1038/s41588-024-01725-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 03/13/2024] [Indexed: 04/28/2024]
Abstract
Here, in a multi-ancestry genome-wide association study meta-analysis of kidney cancer (29,020 cases and 835,670 controls), we identified 63 susceptibility regions (50 novel) containing 108 independent risk loci. In analyses stratified by subtype, 52 regions (78 loci) were associated with clear cell renal cell carcinoma (RCC) and 6 regions (7 loci) with papillary RCC. Notably, we report a variant common in African ancestry individuals ( rs7629500 ) in the 3' untranslated region of VHL, nearly tripling clear cell RCC risk (odds ratio 2.72, 95% confidence interval 2.23-3.30). In cis-expression quantitative trait locus analyses, 48 variants from 34 regions point toward 83 candidate genes. Enrichment of hypoxia-inducible factor-binding sites underscores the importance of hypoxia-related mechanisms in kidney cancer. Our results advance understanding of the genetic architecture of kidney cancer, provide clues for functional investigation and enable generation of a validated polygenic risk score with an estimated area under the curve of 0.65 (0.74 including risk factors) among European ancestry individuals.
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Affiliation(s)
- Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Diptavo Dutta
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Mitchell J Machiela
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Timothy Winter
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | | | | | - Paul Scheet
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Aoxing Liu
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Chao Wu
- Biosample Repository, Fox Chase Cancer Center-Temple Health, Philadelphia, PA, USA
| | - Samuel O Antwi
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - James Larkin
- Department of Medical Oncology, Royal Marsden NHS Foundation Trust, London, UK
| | - Stênio C Zequi
- Department of Urology, A.C. Camargo Cancer Center, São Paulo, Brazil
- National Institute for Science and Technology in Oncogenomics and Therapeutic Innovation INCIT-INOTE, São Paulo, Brazil
- Latin American Renal Cancer Group, São Paulo, Brazil
- Department of Surgery, Division of Urology, São Paulo Federal University, São Paulo, Brazil
| | - Maxine Sun
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Keiko Hikino
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Ali Hajiran
- Department of Urology, Division of Urologic Oncology, West Virginia University Cancer Institute, Morgantown, WV, USA
| | - Keith A Lawson
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Flavio Cárcano
- Department of Medical Oncology, Barretos Cancer Hospital, Barretos, Brazil
| | | | - Brian Shuch
- Department of Urology, UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Kenneth G Nepple
- Department of Urology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA
| | - Gaëlle Margue
- Department of Urology, CHU Bordeaux, Bordeaux, France
| | - Debasish Sundi
- Department of Urology, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Maria A A K Folgueira
- Departments of Radiology and Oncology, Comprehensive Center for Precision Oncology-C2PO, Centro de Investigação Translacional em Oncologia, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas, Faculdade de Medicina Universidade de São Paulo, São Paulo, Brazil
| | - Adrie van Bokhoven
- Department of Pathology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Kevin M Brown
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jongeun Rhee
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Nathan R Cole
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Belynda D Hicks
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Michelle R Manning
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Amy A Hutchinson
- Cancer Genomics Research Laboratory, Frederick National Laboratory, Rockville, MD, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wen-Yi Huang
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - W Marston Linehan
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA
| | - Adriana Lori
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | | | - Sérgio V Serrano
- Department of Medical Oncology, Barretos Cancer Hospital, Barretos, Brazil
| | | | - Ana Vilas
- Department of Pathology, Hospital Pasteur, Montevideo, Uruguay
| | - Ricardo Decia
- Department of Urology, Hospital Pasteur, Montevideo, Uruguay
| | | | - Laura S Graham
- Department of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kyra Anderson
- Oncology Clinical Research Support Team, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Mehmet A Bilen
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Cletus Arciero
- Department of Surgery, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | | | - Solène Ricard
- Department of Urology, CHU Bordeaux, Bordeaux, France
| | - Ghislaine Scelo
- Observational and Pragmatic Research Institute Pte Ltd, Singapore, Singapore
| | - Rosamonde E Banks
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Naveen S Vasudev
- Department of Oncology, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Naeem Soomro
- Department of Urology, Newcastle Hospitals NHS Foundation Trust, Newcastle, UK
| | - Grant D Stewart
- Department of Urology, Western General Hospital, NHS Lothian, Edinburgh, UK
- Department of Surgery, University of Cambridge, Cambridge, UK
| | - Adebanji Adeyoju
- Department of Urology, Stockport NHS Foundation Trust, Stockport, UK
| | - Stephen Bromage
- Department of Urology, Stockport NHS Foundation Trust, Stockport, UK
| | - David Hrouda
- Department of Urology, Imperial College Healthcare NHS Trust, London, UK
| | - Norma Gibbons
- Department of Urology, Imperial College Healthcare NHS Trust, London, UK
| | - Poulam Patel
- Division of Oncology, University of Nottingham, Nottingham, UK
| | - Mark Sullivan
- Department of Urology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Andrew Protheroe
- Department of Oncology, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Francesca I Nugent
- Department of Urology, Holden Comprehensive Cancer Center, University of Iowa, Iowa City, IA, USA
| | | | - Xiaoyu Zhang
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Lisa J Martin
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Maria Komisarenko
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Timothy Eisen
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Sonia A Cunningham
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Denise C Connolly
- Cancer Signaling and Microenvironment, Biosample Repository Facility, Fox Chase Cancer Center-Temple Health, Philadelphia, PA, USA
| | - Robert G Uzzo
- Department of Urology, Fox Chase Cancer Center-Temple Health, Philadelphia, PA, USA
| | - David Zaridze
- Department of Clinical Epidemiology, N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Anush Mukeria
- Department of Clinical Epidemiology, N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia
| | - Ivana Holcatova
- Institute of Public Health and Preventive Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- Department of Oncology, Second Faculty of Medicine and University Hospital Motol, Charles University, Prague, Czech Republic
| | - Anna Hornakova
- Institute of Hygiene and Epidemiology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Vladimir Janout
- Faculty of Health Sciences, Palacky University, Olomouc, Czech Republic
| | - Dana Mates
- Department of Occupational Health and Toxicology, National Center for Environmental Risk Monitoring, National Institute of Public Health, Bucharest, Romania
| | - Viorel Jinga
- Urology Department, Academy of Romanian Scientists, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Stefan Rascu
- Urology Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Mirjana Mijuskovic
- Clinic of Nephrology, Faculty of Medicine, Military Medical Academy, Belgrade, Serbia
| | - Slavisa Savic
- Department of Urology, Clinical Hospital Center Dr Dragisa Misovic Dedinje, Belgrade, Serbia
| | - Sasa Milosavljevic
- International Organisation for Cancer Prevention and Research, Belgrade, Serbia
| | - Valérie Gaborieau
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | | | - James McKay
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Larry Phouthavongsy
- Ontario Tumour Bank, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Lindsay Hayman
- Diagnostic Development Program, Tissue Portal, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Jason Li
- Diagnostic Development Program, Tissue Portal, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Ilinca Lungu
- Ontario Tumour Bank, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Diagnostic Development Program, Tissue Portal, Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | | | - Aline G Souza
- Departments of Medical Imaging, Hematology and Oncology, Division of Medical Oncology, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Claudia T G Sares
- Departments of Surgery and Anatomy, Division of Urology, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Rodolfo B Reis
- Departments of Surgery and Anatomy, Division of Urology, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Fabio P Gallucci
- Surgery Department, Urology Division, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Mauricio D Cordeiro
- Surgery Department, Urology Division, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | | | - Gwo-Shu M Lee
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew L Freedman
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
- Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Anhyo Jeong
- Department of Urology, UCLA Jonsson Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Samantha E Greenberg
- Department of Population Sciences, Genetic Counseling Shared Resource, Huntsman Cancer Institute, Salt Lake City, UT, USA
| | - Alejandro Sanchez
- Department of Surgery, Division of Urology, Huntsman Cancer Institute and University of Utah, Salt Lake City, UT, USA
| | | | - Vidit Sharma
- Department of Urology, Mayo Clinic, Rochester, MN, USA
| | - David D Thiel
- Department of Urology, Mayo Clinic, Jacksonville, FL, USA
| | - Colleen T Ball
- Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA
| | - Diego Abreu
- Department of Urology, Hospital Pasteur, Montevideo, Uruguay
| | - Elaine T Lam
- Department of Medicine, Division of Medical Oncology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - William C Nahas
- Surgery Department, Urology Division, Instituto do Cancer do Estado de São Paulo, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Viraj A Master
- Department of Urology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Alpa V Patel
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Pierre Bigot
- Department of Urology, CHU Angers, Angers, France
| | - Rui M Reis
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
| | - Leandro M Colli
- Departament of Medical Image, Hematology and Oncology, Division of Medical Oncology, Ribeirao Preto Medical School, University of São Paulo, Ribeirao Preto, Brazil
| | - Antonio Finelli
- Department of Surgical Oncology, Division of Urology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Brandon J Manley
- Genitourinary Oncology Program, Moffitt Cancer Center, Tampa, FL, USA
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Toni K Choueiri
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Dirce M Carraro
- Clinical and Functional Genomics Group, CIPE (International Research Center), A.C. Camargo Cancer Center, São Paulo, Brazil
| | - Richard Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, Sutton, UK
| | | | - Philip H Abbosh
- Department of Nuclear Dynamics and Cancer, Fox Chase Cancer Center-Temple Health, Philadelphia, PA, USA
| | - Andrea Ganna
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Jian Gu
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Stephen J Chanock
- Laboratory of Genetic Susceptibility, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
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Chang VC, Ospina M, Xie S, Andreotti G, Parks CG, Liu D, Madrigal JM, Ward MH, Rothman N, Silverman DT, Sandler DP, Friesen MC, Beane Freeman LE, Calafat AM, Hofmann JN. Urinary biomonitoring of glyphosate exposure among male farmers and nonfarmers in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study. Environ Int 2024; 187:108644. [PMID: 38636272 DOI: 10.1016/j.envint.2024.108644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 04/04/2024] [Accepted: 04/08/2024] [Indexed: 04/20/2024]
Abstract
Glyphosate is the most widely applied herbicide worldwide. Glyphosate biomonitoring data are limited for agricultural settings. We measured urinary glyphosate concentrations and assessed exposure determinants in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study. We selected four groups of BEEA participants based on self-reported pesticide exposure: recently exposed farmers with occupational glyphosate use in the last 7 days (n = 98), farmers with high lifetime glyphosate use (>80th percentile) but no use in the last 7 days (n = 70), farming controls with minimal lifetime use (n = 100), and nonfarming controls with no occupational pesticide exposures and no recent home/garden glyphosate use (n = 100). Glyphosate was quantified in first morning void urine using ion chromatography isotope-dilution tandem mass spectrometry. We estimated associations between urinary glyphosate concentrations and potential determinants using multivariable linear regression. Glyphosate was detected (≥0.2 µg/L) in urine of most farmers with recent (91 %) and high lifetime (93 %) use, as well as farming (88 %) and nonfarming (81 %) controls; geometric mean concentrations were 0.89, 0.59, 0.46, and 0.39 µg/L (0.79, 0.51, 0.42, and 0.37 µg/g creatinine), respectively. Compared with both control groups, urinary glyphosate concentrations were significantly elevated among recently exposed farmers (P < 0.0001), particularly those who used glyphosate in the previous day [vs. nonfarming controls; geometric mean ratio (GMR) = 5.46; 95 % confidence interval (CI): 3.75, 7.93]. Concentrations among high lifetime exposed farmers were also elevated (P < 0.01 vs. nonfarming controls). Among recently exposed farmers, glyphosate concentrations were higher among those not wearing gloves when applying glyphosate (GMR = 1.91; 95 % CI: 1.17, 3.11), not wearing long-sleeved shirts when mixing/loading glyphosate (GMR = 2.00; 95 % CI: 1.04, 3.86), applying glyphosate exclusively using broadcast/boom sprayers (vs. hand sprayer only; GMR = 1.70; 95 % CI: 1.00, 2.92), and applying glyphosate to crops (vs. non-crop; GMR = 1.72; 95 % CI: 1.04, 2.84). Both farmers and nonfarmers are exposed to glyphosate, with recency of occupational glyphosate use being the strongest determinant of urinary glyphosate concentrations. Continued biomonitoring of glyphosate in various settings is warranted.
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Affiliation(s)
- Vicky C Chang
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Maria Ospina
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Shuai Xie
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Danping Liu
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jessica M Madrigal
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Antonia M Calafat
- Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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Skalaban TG, Thompson DA, Madrigal JM, Blount BC, Espinosa MM, Kolpin DW, Deziel NC, Jones RR, Beane Freeman L, Hofmann JN, Ward MH. Nitrate exposure from drinking water and dietary sources among Iowa farmers using private wells. Sci Total Environ 2024; 919:170922. [PMID: 38350573 DOI: 10.1016/j.scitotenv.2024.170922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/09/2024] [Accepted: 02/10/2024] [Indexed: 02/15/2024]
Abstract
Nitrate levels are increasing in water resources across the United States and nitrate ingestion from drinking water has been associated with adverse health risks in epidemiologic studies at levels below the maximum contaminant level (MCL). In contrast, dietary nitrate ingestion has generally been associated with beneficial health effects. Few studies have characterized the contribution of both drinking water and dietary sources to nitrate exposure. The Agricultural Health Study is a prospective cohort of farmers and their spouses in Iowa and North Carolina. In 2018-2019, we assessed nitrate exposure for 47 farmers who used private wells for their drinking water and lived in 8 eastern Iowa counties where groundwater is vulnerable to nitrate contamination. Drinking water and dietary intakes were estimated using the National Cancer Institute Automated Self-Administered 24-Hour Dietary Assessment tool. We measured nitrate in tap water and estimated dietary nitrate from a database of food concentrations. Urinary nitrate was measured in first morning void samples in 2018-19 and in archived samples from 2010 to 2017 (minimum time between samples: 2 years; median: 7 years). We used linear regression to evaluate urinary nitrate concentrations in relation to total nitrate, and drinking water and dietary intakes separately. Overall, dietary nitrate contributed the most to total intake (median: 97 %; interquartile range [IQR]: 57-99 %). Among 15 participants (32 %) whose drinking water nitrate concentrations were at/above the U.S. Environmental Protection Agency MCL (10 mg/L NO3-N), median intake from water was 44 % (IQR: 26-72 %). Total nitrate intake was the strongest predictor of urinary nitrate concentrations (R2 = 0.53). Drinking water explained a similar proportion of the variation in nitrate excretion (R2 = 0.52) as diet (R2 = 0.47). Our findings demonstrate the importance of both dietary and drinking water intakes as determinants of nitrate excretion.
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Affiliation(s)
- Timothy G Skalaban
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, MD, United States of America; Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | - Darrin A Thompson
- Center for Health Effects of Environmental Contamination, The University of Iowa, Iowa City, IA, United States of America
| | - Jessica M Madrigal
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, MD, United States of America
| | - Benjamin C Blount
- Tobacco and Volatiles Branch, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Maria Morel Espinosa
- Tobacco and Volatiles Branch, National Center for Environmental Health, U.S. Centers for Disease Control and Prevention, Atlanta, GA, United States of America
| | - Dana W Kolpin
- U.S. Geological Survey, Central Midwest Water Science Center, Iowa City, IA, United States of America
| | - Nicole C Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, United States of America
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, MD, United States of America
| | - Laura Beane Freeman
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, MD, United States of America
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, MD, United States of America
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, MD, United States of America.
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Chen D, Parks CG, Hofmann JN, Beane Freeman LE, Sandler DP. Pesticide use and inflammatory bowel disease in licensed pesticide applicators and spouses in the Agricultural Health Study. Environ Res 2024; 249:118464. [PMID: 38354883 DOI: 10.1016/j.envres.2024.118464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND Pesticide exposure has been linked to some autoimmune diseases and colorectal cancer, possibly via alteration of gut microbiota or other mechanisms. While pesticides have been linked to gut dysbiosis and inflammation in animal models, few epidemiologic studies have examined pesticides in relation to inflammatory bowel disease (IBD). OBJECTIVES We evaluated use of pesticides and incident IBD in 68,480 eligible pesticide applicators and spouses enrolled in the Agricultural Health Study. METHODS Self-reported IBD cases were identified from follow-up questionnaires between enrollment (1993-1997) and 2022. We evaluated IBD incidence in relation to self-reported ever use of 50 pesticides among applicators and spouses. We also explored associations with intensity-weighted lifetime days (IWLD) of pesticide use among male applicators. Covariate-adjusted hazard ratios (HR) and 95% confidence intervals (CI) were calculated using Cox regression. RESULTS We identified 454 IBD cases, including 227 among male applicators. In analyses with applicators and spouses combined, associations were positive (HR > 1.2) for ever vs. never use of five organochlorine insecticides, three organophosphate insecticides, one fungicide, and five herbicides. HRs were highest for dieldrin (HR = 1.59, 95%CI: 1.03, 2.44), toxaphene (HR = 1.61, 95%CI: 1.17, 2.21), parathion (HR = 1.42, 95%CI: 1.03, 1.95), and terbufos (HR = 1.53, 95%CI: 1.19, 1.96). We had limited power in many IWLD of pesticide use analyses and did not find clear evidence of exposure-response trends; however, we observed elevated HRs in all tertiles of IWLD use of terbufos compared to never use (T1 vs. never use HR = 1.52, 95%CI: 1.03, 2.24; T2 vs. never use HR = 1.53, 95%CI: 1.04, 2.26; T3 vs. never use HR = 1.51, 95%CI: 1.03, 2.23). CONCLUSIONS Exposure to specific pesticides was associated with elevated hazards of IBD. These findings may have public health importance given the widespread use of pesticides and the limited number of known modifiable environmental risk factors for IBD.
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Affiliation(s)
- Dazhe Chen
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA.
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Remigio RV, Andreotti G, Sandler DP, Erickson PA, Koutros S, Albert PS, Hurwitz LM, Parks CG, Lubin JH, Hofmann JN, Beane Freeman LE. An Updated Evaluation of Atrazine-Cancer Incidence Associations among Pesticide Applicators in the Agricultural Health Study Cohort. Environ Health Perspect 2024; 132:27010. [PMID: 38381478 PMCID: PMC10880817 DOI: 10.1289/ehp13684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Revised: 01/22/2024] [Accepted: 01/23/2024] [Indexed: 02/22/2024]
Abstract
BACKGROUND Atrazine is a common agricultural herbicide in the United States. Few epidemiologic studies have evaluated cancer risks. Previous analyses within the Agricultural Health Study (AHS) have found some evidence of associations with cancer at some sites. OBJECTIVE We updated exposure information, incident cases, and follow-up time to assess the associations between atrazine use and cancer at specific sites in the AHS. METHODS Information about lifetime pesticide use was reported at enrollment (1993-1997) and follow-up (1999-2005). Among 53,562 pesticide applicators in North Carolina and Iowa, we identified 8,915 incident cases through cancer registry linkages through 2014 (North Carolina)/2017 (Iowa). We used Poisson regression to evaluate the association between ever/never and intensity-weighted lifetime days of atrazine use and incident cancer risk controlling for several confounders. We also evaluated lagged exposures and age-stratified risk. RESULTS Approximately 71.2% of applicators reported ever using atrazine, which was associated with lung cancer [rate ratios ( RR ) = 1.24 ; 95% confidence interval (CI): 1.04, 1.46]. Aggressive prostate cancer risk was increased in the highest quartile (RR Q 4 = 1.20 ; 95% CI: 0.95, 1.52; p -trend = 0.19 ), particularly among those < 60 years old (RR Q 4 = 3.04 ; 95% CI: 1.61, 5.75; p -trend < 0.001 ; p -interaction = 0.04 ). Among applicators < 50 years of age, ever-atrazine use was associated with non-Hodgkin lymphoma (NHL) (RR = 2.43 ; 95% CI: 1.10, 5.38; p -interaction = 0.60 ). For soft tissue sarcoma, there was an elevated risk in the highest tertile of exposure (RR T 3 : 2.54; 95% CI: 0.97, 6.62; p -trend = 0.31 ). In analyses with exposure lagged by 25 years, there was an elevated risk of pharyngeal (RR T 3 = 3.04 ; 95% CI: 1.45, 6.36; p -trend = 0.07 ) and kidney (RR Q 4 = 1.62 ; 95% CI: 1.15, 2.29; p -trend < 0.005 ) cancers. DISCUSSION We observed suggestive associations with some malignancies in overall, age-specific, and lagged analyses. Associations with aggressive prostate cancer and NHL were apparent among those diagnosed at younger ages and with cancers of the pharynx and kidney, and soft tissue sarcomas were observed in lagged analyses. Further work is needed to confirm these observed associations and elucidate potential underlying mechanisms. https://doi.org/10.1289/EHP13684.
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Affiliation(s)
- Richard V. Remigio
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Patricia A. Erickson
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Paul S. Albert
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Lauren M. Hurwitz
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Jay H. Lubin
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Laura E. Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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6
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Chen D, Parks CG, Beane Freeman LE, Hofmann JN, Sinha R, Madrigal JM, Ward MH, Sandler DP. Ingested nitrate and nitrite and end-stage renal disease in licensed pesticide applicators and spouses in the Agricultural Health Study. J Expo Sci Environ Epidemiol 2024:10.1038/s41370-023-00625-y. [PMID: 38191926 DOI: 10.1038/s41370-023-00625-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 11/22/2023] [Accepted: 11/28/2023] [Indexed: 01/10/2024]
Abstract
BACKGROUND Nitrate and nitrite ingestion has been linked to kidney cancer, possibly via the endogenous formation of carcinogenic N-nitroso compounds. These exposures might also contribute to end-stage renal disease (ESRD). OBJECTIVES We investigated associations of drinking water nitrate and dietary nitrate and nitrite intakes (total and by food type) with incident ESRD in the Agricultural Health Study. We also explored modifying effects of vitamin C and heme iron intake, which may affect endogenous nitrosation. METHODS We performed complete case analyses among private pesticide applicators and their spouses. We obtained water nitrate estimates for participants whose primary drinking water source at enrollment (1993-1997) was public water supplies (PWS) or private wells (N = 59,632). Average nitrate concentrations were computed from historical data for PWS users and predicted from random forest models for private well users. Analysis of dietary nitrate and nitrite was restricted to the 30,177 participants who completed the NCI Dietary History Questionnaire during follow-up (1999-2003). Incident ESRD through 2018 was ascertained through linkage with the U.S. Renal Data System. We estimated adjusted hazard ratios (HRs) and 95%CI for associations of tertiles (T) of exposure with ESRD overall and explored effects in strata of vitamin C and heme iron intake. RESULTS We identified 469 incident ESRD cases (206 for dietary analysis). Water nitrate and total dietary nitrate/nitrite were not associated with ESRD, but increased ESRD was associated with nitrate and nitrite from processed meats. We found apparent associations between nitrite and ESRD only among participants with vitamin C SIGNIFICANCE ESRD incidence was associated with dietary nitrate/nitrite from processed meat among all study participants and with total dietary nitrite among participants with lower vitamin C or higher heme iron intake. IMPACT STATEMENT There are few well-established environmental risk factors for end-stage renal disease (ESRD), a worldwide public health challenge. Ingestion of nitrate and nitrite, which may lead to endogenous formation of carcinogenic N-nitroso compounds, has been linked to some cancers and chronic diseases. We investigated these exposures in relation to ESRD in an agricultural cohort. ESRD incidence was associated with dietary nitrate/nitrite from processed meat and with total dietary nitrite among subgroups with lower vitamin C or higher heme iron intake. This study provides preliminary evidence that points to dietary nitrite and possibly dietary nitrate intake as a potential contributor to ESRD.
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Affiliation(s)
- Dazhe Chen
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Rashmi Sinha
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Jessica M Madrigal
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Rockville, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, NC, USA.
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Zahm S, Bonde JP, Chiu WA, Hoppin J, Kanno J, Abdallah M, Blystone CR, Calkins MM, Dong GH, Dorman DC, Fry R, Guo H, Haug LS, Hofmann JN, Iwasaki M, Machala M, Mancini FR, Maria-Engler SS, Møller P, Ng JC, Pallardy M, Post GB, Salihovic S, Schlezinger J, Soshilov A, Steenland K, Steffensen IL, Tryndyak V, White A, Woskie S, Fletcher T, Ahmadi A, Ahmadi N, Benbrahim-Tallaa L, Bijoux W, Chittiboyina S, de Conti A, Facchin C, Madia F, Mattock H, Merdas M, Pasqual E, Suonio E, Viegas S, Zupunski L, Wedekind R, Schubauer-Berigan MK. Carcinogenicity of perfluorooctanoic acid and perfluorooctanesulfonic acid. Lancet Oncol 2024; 25:16-17. [PMID: 38043561 DOI: 10.1016/s1470-2045(23)00622-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Affiliation(s)
- Shelia Zahm
- International Agency for Research on Cancer, Lyon, France
| | | | | | - Jane Hoppin
- International Agency for Research on Cancer, Lyon, France
| | - Jun Kanno
- International Agency for Research on Cancer, Lyon, France
| | | | | | | | - Guang-Hui Dong
- International Agency for Research on Cancer, Lyon, France
| | - David C Dorman
- International Agency for Research on Cancer, Lyon, France
| | - Rebecca Fry
- International Agency for Research on Cancer, Lyon, France
| | - Huan Guo
- International Agency for Research on Cancer, Lyon, France
| | - Line S Haug
- International Agency for Research on Cancer, Lyon, France
| | | | - Motoki Iwasaki
- International Agency for Research on Cancer, Lyon, France
| | | | | | | | - Peter Møller
- International Agency for Research on Cancer, Lyon, France
| | - Jack C Ng
- International Agency for Research on Cancer, Lyon, France
| | - Marc Pallardy
- International Agency for Research on Cancer, Lyon, France
| | - Gloria B Post
- International Agency for Research on Cancer, Lyon, France
| | | | | | | | - Kyle Steenland
- International Agency for Research on Cancer, Lyon, France
| | | | | | | | - Susan Woskie
- International Agency for Research on Cancer, Lyon, France
| | - Tony Fletcher
- International Agency for Research on Cancer, Lyon, France
| | - Ayat Ahmadi
- International Agency for Research on Cancer, Lyon, France
| | - Nahid Ahmadi
- International Agency for Research on Cancer, Lyon, France
| | | | - Wendy Bijoux
- International Agency for Research on Cancer, Lyon, France
| | | | - Aline de Conti
- International Agency for Research on Cancer, Lyon, France
| | | | - Federica Madia
- International Agency for Research on Cancer, Lyon, France
| | - Heidi Mattock
- International Agency for Research on Cancer, Lyon, France
| | - Mira Merdas
- International Agency for Research on Cancer, Lyon, France
| | - Elisa Pasqual
- International Agency for Research on Cancer, Lyon, France
| | - Eero Suonio
- International Agency for Research on Cancer, Lyon, France
| | - Susana Viegas
- International Agency for Research on Cancer, Lyon, France
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8
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Chang VC, Zhou W, Berndt SI, Andreotti G, Yeager M, Parks CG, Sandler DP, Rothman N, Beane Freeman LE, Machiela MJ, Hofmann JN. Glyphosate Use and Mosaic Loss of Chromosome Y among Male Farmers in the Agricultural Health Study. Environ Health Perspect 2023; 131:127006. [PMID: 38055050 PMCID: PMC10699410 DOI: 10.1289/ehp12834] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 11/01/2023] [Accepted: 11/15/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND Glyphosate is the most commonly used herbicide worldwide and has been implicated in the development of certain hematologic cancers. Although mechanistic studies in human cells and animals support the genotoxic effects of glyphosate, evidence in human populations is scarce. OBJECTIVES We evaluated the association between lifetime occupational glyphosate use and mosaic loss of chromosome Y (mLOY) as a marker of genotoxicity among male farmers. METHODS We analyzed blood-derived DNA from 1,606 farmers ≥ 50 years of age in the Biomarkers of Exposure and Effect in Agriculture study, a subcohort of the Agricultural Health Study. mLOY was detected using genotyping array intensity data in the pseudoautosomal region of the sex chromosomes. Cumulative lifetime glyphosate use was assessed using self-reported pesticide exposure histories. Using multivariable logistic regression, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between glyphosate use and any detectable mLOY (overall mLOY) or mLOY affecting ≥ 10 % of cells (expanded mLOY). RESULTS Overall, mLOY was detected in 21.4% of farmers, and 9.8% of all farmers had expanded mLOY. Increasing total lifetime days of glyphosate use was associated with expanded mLOY [highest vs. lowest quartile; OR = 1.75 (95% CI: 1.00, 3.07), p trend = 0.03 ] but not with overall mLOY; the associations with expanded mLOY were most apparent among older (≥ 70 years of age) men [OR = 2.30 (95% CI: 1.13, 4.67), p trend = 0.01 ], never smokers [OR = 2.32 (95% CI: 1.04, 5.21), p trend = 0.04 ], and nonobese men [OR = 2.04 (95% CI: 0.99, 4.19), p trend = 0.03 ]. Similar patterns of associations were observed for intensity-weighted lifetime days of glyphosate use. DISCUSSION High lifetime glyphosate use could be associated with mLOY affecting a larger fraction of cells, suggesting glyphosate could confer genotoxic or selective effects relevant for clonal expansion. As the first study to investigate this association, our findings contribute novel evidence regarding the carcinogenic potential of glyphosate and require replication in future studies. https://doi.org/10.1289/EHP12834.
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Affiliation(s)
- Vicky C. Chang
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Weiyin Zhou
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Sonja I. Berndt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Meredith Yeager
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, DHHS, Durham, North Carolina, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, DHHS, Durham, North Carolina, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Laura E. Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Mitchell J. Machiela
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, NCI, NIH, DHHS, Bethesda, Maryland, USA
| | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
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9
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Hurwitz LM, Beane Freeman LE, Andreotti G, Hofmann JN, Parks CG, Sandler DP, Lubin JH, Liu J, Jones K, Berndt SI, Koutros S. Joint associations between established genetic susceptibility loci, pesticide exposures, and risk of prostate cancer. Environ Res 2023; 237:117063. [PMID: 37659638 PMCID: PMC10591852 DOI: 10.1016/j.envres.2023.117063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 07/20/2023] [Accepted: 08/31/2023] [Indexed: 09/04/2023]
Abstract
More than 200 genetic variants have been independently associated with prostate cancer risk. Studies among farmers have also observed increased prostate cancer risk associated with exposure to specific organophosphate (fonofos, terbufos, malathion, dimethoate) and organochlorine (aldrin, chlordane) insecticides. We examined the joint associations between these pesticides, established prostate cancer loci, and prostate cancer risk among 1,162 cases (588 aggressive) and 2,206 frequency-matched controls nested in the Agricultural Health Study cohort. History of lifetime pesticide use was combined with a polygenic risk score (PRS) generated using 256 established prostate cancer risk variants. Logistic regression models estimated the joint associations of the pesticides, the PRS, and the 256 individual genetic variants with risk of total and aggressive prostate cancer. Likelihood ratio tests assessed multiplicative interaction. We observed interaction between ever use of fonofos and the PRS in relation to total and aggressive prostate cancer risk. Compared to the reference group (never use, PRS < median), men with ever use of fonofos and PRS > median had elevated risks of total (OR 1.35 [1.06-1.73], p-interaction = 0.03) and aggressive (OR 1.49 [1.09-2.04], p-interaction = 0.19) prostate cancer. There was also suggestion of interaction between pesticides and individual genetic variants occurring in regions associated with DNA damage response (CDH3, EMSY genes) and with variants related to altered androgen receptor-driven transcriptional programs critical for prostate cancer. Our study provides evidence that men with greater genetic susceptibility to prostate cancer may be at higher risk if they are also exposed to pesticides and suggests potential mechanisms by which pesticides may increase prostate cancer risk.
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Affiliation(s)
- Lauren M Hurwitz
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA.
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Jay H Lubin
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Jia Liu
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA; Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA; Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Sonja I Berndt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD, USA
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Kim J, Leon ME, Schinasi LH, Baldi I, Lebailly P, Freeman LEB, Nordby KC, Ferro G, Monnereau A, Brouwer M, Kjaerheim K, Hofmann JN, Straif K, Kromhout H, Schüz J, Togawa K. Exposure to pesticides and risk of Hodgkin lymphoma in an international consortium of agricultural cohorts (AGRICOH). Cancer Causes Control 2023; 34:995-1003. [PMID: 37418114 PMCID: PMC10533587 DOI: 10.1007/s10552-023-01748-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Accepted: 06/26/2023] [Indexed: 07/08/2023]
Abstract
PURPOSE Some pesticides may increase the risk of certain lymphoid malignancies, but few studies have examined Hodgkin lymphoma (HL). In this exploratory study, we examined associations between agricultural use of 22 individual active ingredients and 13 chemical groups and HL incidence. METHODS We used data from three agricultural cohorts participating in the AGRICOH consortium: the French Agriculture and Cancer Cohort (2005-2009), Cancer in the Norwegian Agricultural Population (1993-2011), and the US Agricultural Health Study (1993-2011). Lifetime pesticide use was estimated from crop-exposure matrices or self-report. Cohort-specific covariate-adjusted overall and age-specific (< 40 or ≥ 40 years) hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox regression and combined using random effects meta-analysis. RESULTS Among 316 270 farmers (75% male) accumulating 3 574 815 person-years at risk, 91 incident cases of HL occurred. We did not observe statistically significant associations for any of the active ingredients or chemical groups studied. The highest risks of HL overall were observed for the pyrethroids deltamethrin (meta-HR = 1.86, 95% CI 0.76-4.52) and esfenvalerate (1.86, 0.78-4.43), and inverse associations of similar magnitude were observed for parathion and glyphosate. Risk of HL at ≥ 40 years of age was highest for ever-use of dicamba (2.04, 0.93-4.50) and lowest for glyphosate (0.46, 0.20-1.07). CONCLUSION We report the largest prospective investigation of these associations. Nonetheless, low statistical power, a mixture of histological subtypes and a lack of information on tumour EBV status complicate the interpretability of the results. Most HL cases occurred at older ages, thus we could not explore associations with adolescent or young adult HL. Furthermore, estimates may be attenuated due to non-differential exposure misclassification. Future work should aim to extend follow-up and refine both exposure and outcome classification.
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Affiliation(s)
- Joanne Kim
- Environment and Lifestyle Epidemiology Branch, International Agency for Research On Cancer, IARC/WHO), Lyon, France
| | - Maria E. Leon
- Environment and Lifestyle Epidemiology Branch, International Agency for Research On Cancer, IARC/WHO), Lyon, France
| | - Leah H. Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, PA USA
| | - Isabelle Baldi
- Service Santé Travail Environnement, CHU de Bordeaux, Bordeaux, France
| | - Pierre Lebailly
- ANTICIPE, INSERM U1086, Université de Caen Normandie, and Centre de Lutte Contre Le Cancer François Baclesse, Caen, France
| | - Laura E. Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, MD USA
| | | | - Gilles Ferro
- Environment and Lifestyle Epidemiology Branch, International Agency for Research On Cancer, IARC/WHO), Lyon, France
| | - Alain Monnereau
- Hematological Malignancies Registry of Gironde, Bergonie Institute, Comprehensive Cancer Centre, Bordeaux, France
- EPICENE, INSERM U1219, Université de Bordeaux, Bordeaux, France
| | - Maartje Brouwer
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | | | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, MD USA
| | - Kurt Straif
- Non-communicable Diseases and Environment Programme, IS Global, Barcelona, Spain
- Global Observatory On Pollution and Health, Boston College, Chestnut Hill, MA USA
| | - Hans Kromhout
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Joachim Schüz
- Environment and Lifestyle Epidemiology Branch, International Agency for Research On Cancer, IARC/WHO), Lyon, France
| | - Kayo Togawa
- Environment and Lifestyle Epidemiology Branch, International Agency for Research On Cancer, IARC/WHO), Lyon, France
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11
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Parks CG, Leyzarovich D, Love SA, Long S, Hofmann JN, Beane Freeman LE, Sandler DP. High pesticide exposures events, pesticide poisoning, and shingles: A medicare-linked study of pesticide applicators in the agricultural health study. Environ Int 2023; 181:108251. [PMID: 37862860 PMCID: PMC10836588 DOI: 10.1016/j.envint.2023.108251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/15/2023] [Accepted: 10/05/2023] [Indexed: 10/22/2023]
Abstract
OBJECTIVES Self-reported shingles was associated with history of high pesticide exposure events (HPEE) in licensed pesticide applicators aged >60 years in the Agricultural Health Study (AHS). In the current study, using AHS-linked Medicare claims data, we examined incident shingles in relation to pesticide-related illness and pesticide poisoning, as well as HPEE. METHODS We studied 22,753 licensed private pesticide applicators (97% white males, enrolled in the AHS 1993-97), aged ≥66 years with >12 consecutive months of Medicare fee-for-service hospital and outpatient coverage between 1999 and 2016. Incident shingles was identified based on having ≥1 shingles claim(s) after 12 months without claims. At AHS enrollment, participants were asked if they ever sought medical care or were hospitalized for pesticide-related illness, and a supplemental questionnaire (completed by 51%) asked about HPEE and poisoning. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using Cox proportional hazards regression, adjusted for age, sex, race, state, and education. RESULTS Over 192,053 person-years (PY), 2396 applicators were diagnosed with shingles (10.5%; age-standardized rate, 13.6 cases per 1,000PY), with higher rates among those reporting hospitalization for pesticide-related illness, pesticide poisoning, and HPEE (23.2, 22.5, and 16.6 per 1,000PY, respectively). In adjusted models, shingles was associated with hospitalization for pesticide-related illness (HR 1.69; 1.18, 2.39), poisoning (1.49; 1.08, 1.46), and HPEE (1.23; 95% CI = 1.03, 1.46), especially HPEE plus medical care/poisoning (1.78; 1.30, 2.43). CONCLUSION These novel findings suggest that acute, high-level, and clinically impactful pesticide exposures may increase risk of shingles in subsequent years to decades following exposure.
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Affiliation(s)
- Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA.
| | | | | | | | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
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12
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Macauda A, Briem K, Clay-Gilmour A, Cozen W, Försti A, Giaccherini M, Corradi C, Sainz J, Niazi Y, Ter Horst R, Li Y, Netea MG, Vogel U, Hemminki K, Slager SL, Varkonyi J, Andersen V, Iskierka-Jazdzewska E, Mártinez-Lopez J, Zaucha J, Camp NJ, Rajkumar SV, Druzd-Sitek A, Bhatti P, Chanock SJ, Kumar SK, Subocz E, Mazur G, Landi S, Machiela MJ, Jerez A, Norman AD, Hildebrandt MAT, Kadar K, Berndt SI, Ziv E, Buda G, Nagler A, Dumontet C, Raźny M, Watek M, Butrym A, Grzasko N, Dudzinski M, Rybicka-Ramos M, Matera EL, García-Sanz R, Goldschmidt H, Jamroziak K, Jurczyszyn A, Clavero E, Giles GG, Pelosini M, Zawirska D, Kruszewski M, Marques H, Haastrup E, Sánchez-Maldonado JM, Bertsch U, Rymko M, Raab MS, Brown EE, Hofmann JN, Vachon C, Campa D, Canzian F. Identification of novel genetic loci for risk of multiple myeloma by functional annotation. Leukemia 2023; 37:2326-2329. [PMID: 37723249 PMCID: PMC10624610 DOI: 10.1038/s41375-023-02022-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 08/08/2023] [Accepted: 09/04/2023] [Indexed: 09/20/2023]
Affiliation(s)
- Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Klara Briem
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Alyssa Clay-Gilmour
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA
| | - Wendy Cozen
- Division of Hematology/Oncology, Division of Hematology/Oncology, Department of Medicine, School of Medicine, Department of Pathology, School of Medicine, Susan and Henry Samueli College of Health Sciences, Chao Family Comprehensive Cancer Center, University of California at Irvine, Irvine, CA, USA
| | - Asta Försti
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | | | | | - Juan Sainz
- Genomic Oncology Area, GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government, PTS, Granada, Spain
- Instituto de Investigación Biosanitaria IBs.Granada, Granada, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, Granada, Spain
| | - Yasmeen Niazi
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Rob Ter Horst
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Yang Li
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
- Centre for Individualised Infection Medicine (CiiM) & TWINCORE, joint ventures between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), Hannover, Germany
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, The Netherlands
- Department for Immunology & Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, Bonn, Germany
| | - Ulla Vogel
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Kari Hemminki
- Biomedical Center, Faculty of Medicine, Charles University Pilsen, Pilsen, Czech Republic
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Susan L Slager
- Division of Biomedical Statistics & Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Judit Varkonyi
- Department of Hematology, Semmelweis University, Budapest, Hungary
| | - Vibeke Andersen
- Molecular Diagnostics and Clinical Research Unit, Institute of Regional Health Research, University Hospital of Southern Denmark, Odense, Denmark
- Institute of Regional Research, University of Southern Denmark, Odense, Denmark
- Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | | | - Joaquin Mártinez-Lopez
- Hospital Universitario 12 de Octubre, Instituto de Investigación del Hospital Universitario 12 de Octubre, 28041, Madrid, Spain
| | - Jan Zaucha
- Department of Haematology & Transplantology, Medical University of Gdańsk, Gdańsk, Poland
| | - Nicola J Camp
- Division of Hematology and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
| | - S Vincent Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Agnieszka Druzd-Sitek
- Department of Lymphoproliferative Diseases, Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shaji K Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Edyta Subocz
- Department of Hematology, Warmian-Masurian Cancer Center of The Ministry Of The Interior And Administration's Hospital, Olsztyn, Poland
| | | | - Stefano Landi
- Department of Biology, University of Pisa, Pisa, Italy
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Andrés Jerez
- Hematology and Medical Oncology Department, University Hospital Morales Meseguer, IMIB, Murcia, Spain
| | - Aaron D Norman
- Division of Biomedical Statistics & Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Michelle A T Hildebrandt
- Department of Lymphoma - Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Elad Ziv
- Department of Medicine, University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA
| | - Gabriele Buda
- Hematology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Arnon Nagler
- Hematology Division Chaim Sheba Medical Center, Tel Hashomer, Israel
| | | | - Malgorzata Raźny
- Department of Hematology, Rydygier Specialistic Hospital, Cracow, Poland
| | - Marzena Watek
- Department of Hematology, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
- Department of Hematology, Holycross Cancer Center, Kielce, Poland
| | - Aleksandra Butrym
- Wroclaw Medical University, Wroclaw, Poland
- Alfred Sokolowski Specialist Hospital in Walbrzych Oncology Support Centre for Clinical Trials, Wałbrzych, Poland
| | - Norbert Grzasko
- Department of Experimental Hematooncology, Medical University of Lublin, Lublin, Poland
| | - Marek Dudzinski
- Institute of Medical Sciences, College of Medical Sciences, University of Rzeszow, Rzeszow, Poland
| | - Malwina Rybicka-Ramos
- Department of Hematology, Specialist Hospital No.1 in Bytom, Academy of Silesia, Faculty of Medicine, Katowice, Poland
| | | | - Ramón García-Sanz
- University Hospital of Salamanca, Diagnostic Laboratory Unit in Hematology, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), Salamanca, Spain
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- National Centre for Tumour Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany
- National Centre for Tumour Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany. GMMG Study Group at University Hospital Heidelberg, Heidelberg, Germany
| | - Krzysztof Jamroziak
- Department of Hematology, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Artur Jurczyszyn
- Hematology Department, Jagiellonian University Medical College, Cracow, Poland
| | - Esther Clavero
- Hematology Department, Virgen de las Nieves University Hospital, Granada, Spain
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
| | - Matteo Pelosini
- U.O. Dipartimento di Ematologia, Azienda USL Toscana Nord Ovest, Livorno, Italy
| | - Daria Zawirska
- Department of Hematology, University Hospital, Crakow, Poland
| | - Marcin Kruszewski
- Department of Hematology, University Hospital No. 2 in Bydgoszcz, Bydgoszcz, Poland
| | - Herlander Marques
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal
- ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Eva Haastrup
- Department of Clinical Immunology, the Bloodbank, Rigshospitalet, Copenhagen University Hospital, København, Denmark
| | - José Manuel Sánchez-Maldonado
- Genomic Oncology Area, GENYO. Centre for Genomics and Oncological Research: Pfizer / University of Granada / Andalusian Regional Government, PTS, Granada, Spain
- Instituto de Investigación Biosanitaria IBs.Granada, Granada, Spain
| | - Uta Bertsch
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
- National Centre for Tumour Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany
| | - Marcin Rymko
- Department of Hematology, Provincial Polyclinical Hospital in Torun, Torun, Poland
| | - Marc-Steffen Raab
- Department of Internal Medicine V, Heidelberg University Hospital, Heidelberg, Germany
| | - Elizabeth E Brown
- Department of Pathology, School of Medicine at the University of Alabama, Birmingham, AL, USA
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Celine Vachon
- Division of Biomedical Statistics & Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
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13
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Frost E, Hofmann JN, Huang WY, Parks CG, Frazer-Abel AA, Deane KD, Berndt SI. Antinuclear Antibodies Are Associated with an Increased Risk of Diffuse Large B-Cell Lymphoma. Cancers (Basel) 2023; 15:5231. [PMID: 37958403 PMCID: PMC10647241 DOI: 10.3390/cancers15215231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 10/20/2023] [Accepted: 10/21/2023] [Indexed: 11/15/2023] Open
Abstract
Immune dysregulation is thought to increase the risk of non-Hodgkin lymphoma (NHL), but the evidence varies by subtype. We evaluated whether antinuclear antibodies (ANA), double-stranded DNA antibodies (anti-dsDNA), and extractable nuclear antigen antibodies (anti-ENA) were associated with the risk of common NHL subtypes in a nested case-control study. The autoantibodies were tested in serum collected years prior to NHL diagnosis in 832 cases and 809 controls from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Logistic regression was used to determine odds ratios (ORs) and 95% confidence intervals (95% CI) for the association with NHL risk. No association was observed between ANA positivity and NHL risk overall (OR: 1.18, 95% CI: 0.88-1.58); however, ANA positivity was associated with an increased risk of diffuse large B-cell lymphoma (DLBCL) (OR: 1.83, 95% CI: 1.15-2.91), with 19.7% of cases and 12.2% of controls testing positive. The presence of either anti-ENA or anti-dsDNA was associated with an increased risk of NHL (OR: 2.93, 95% CI: 1.18-7.28), particularly DLBCL (OR: 3.51, 95% CI: 1.02-12.0) and marginal zone lymphoma (OR: 8.86, 95% CI: 1.26-62.0). Our study demonstrates that autoantibodies are associated with an elevated risk of DLBCL, providing support for autoimmunity as a risk factor.
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Affiliation(s)
- Eleanor Frost
- Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jonathan N. Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
| | - Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health and Department of Health and Human Services, Research Triangle Park, Durham, NC 27709, USA
| | - Ashley A. Frazer-Abel
- Department of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO 80045, USA
| | - Kevin D. Deane
- Department of Medicine, University of Colorado Anschutz Medical Campus, Denver, CO 80045, USA
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD 20892, USA
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14
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, Rothman N. Correction: Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes. Leukemia 2023; 37:2142. [PMID: 37666943 DOI: 10.1038/s41375-023-01978-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/06/2023]
Affiliation(s)
- Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA.
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Alexandra Nieters
- Institute for Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm, Sweden
| | | | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Caroline Besson
- Centre Hospitalier de Versailles, Le Chesnay, France
- Université Paris-Saclay, UVSQ, Inserm, Équipe "Exposome et Hérédité", CESP, Villejuif, France
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Joshua Arias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Institute of Health and Society, Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kenneth C Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Stephen M Ansell
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Bryan Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Parveen Bhatti
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York, 11794, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, 41026, Italy
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Elizabeth E Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Lisa A Cannon-Albright
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Ellen T Chang
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Center for Health Sciences, Exponent, Inc., Menlo Park, CA, USA
| | - Brian C H Chiu
- Department of Public Health Sciences University of Chicago, Chicago, IL, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Jacqueline Clavel
- CRESS, UMR1153, INSERM, Villejuif, France
- Université de Paris-Cité, Villejuif, France
| | - Pierluigi Cocco
- Centre for Occupational and Environmental Health, Division of Population Science, Health Services Research & Primary Care, University of Manchester, Manchester, UK
| | - Graham Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Lucia Conde
- Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London, UK
| | - David V Conti
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Karen Curtin
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Delphine Casabonne
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher K Edlund
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Attilio Gabbas
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy
| | - Hervé Ghesquières
- Department of Hematology, Hospices Civils de Lyon, Lyon Sud Hospital, Pierre Benite, France
- CIRI, Centre International de Recherche en Infectiologie, Team Lymphoma Immuno-Biology, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Sally Glaser
- Cancer Prevention Institute of California, Fremont, CA, USA
- Stanford Cancer Institute, Stanford, CA, USA
| | - Martha Glenn
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | | | - Christopher A Haiman
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Corinne Haioun
- Lymphoid Malignancies Unit, Henri Mondor Hospital and University Paris Est, Créteil, France
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Aalin Izhar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Ruth F Jarrett
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, UK
| | - Laurence N Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Yinfei Kong
- Information Systems and Decision Sciences, California State University, Fullerton, Fullerton, CA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Annette Lake
- MRC-University of Glasgow Centre for Virus Research, Glasgow, UK
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | | | - Dalin Li
- F. Widjaja Family Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Liebow
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Corrado Magnani
- CPO-Piemonte and Unit of Medical Statistics and Epidemiology, Department Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Marc Maynadie
- INSERM U1231, EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mads Melbye
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Jebsen Center for Genetic epidemiology, NTNU, Trondheim, Norway
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Genetics, Stanford University Medical School, Stanford, CA, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), Florence, Italy
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Thierry J Molina
- Department of Pathology, APHP, Necker and Robert Debré, Université Paris Cité, Institut Imagine, INSERM U1163, Paris, France
| | - Alain Monnereau
- CRESS, UMR1153, INSERM, Villejuif, France
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux, Cedex, France
| | | | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anne J Novak
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kenan Onel
- Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Hempstead, New York, NY, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kristin A Rand
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Eve Roman
- Department of Health Sciences, University of York, York, UK
| | - Gilles Salles
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Douglas W Sborov
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
| | - Tait D Shanafelt
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | | | - Kevin W Song
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lei Song
- Center for Cancer Research, National Cancer Institute, Frederick, MA, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Anthony Staines
- School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland
| | - Deborah Stephens
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Heather J Sutherland
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Kaitlyn Tkachuk
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Hervé Tilly
- Centre Henri Becquerel, Université de Rouen, Rouen, France
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, UK
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, NSW, Australia
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Claire M Vajdic
- The Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Anke Van Den Berg
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David J Van Den Berg
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Human Genetics Foundation, Turin, Italy
| | - Sophia S Wang
- Division of Health Analytics, City of Hope Beckman Research Institute, Duarte, CA, USA
| | | | - George J Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nicole Wong Doo
- Concord Clinical School, University of Sydney, Concord, NSW, Australia
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MA, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wendy Cozen
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
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15
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Rhee J, Chang VC, Cheng I, Calafat AM, Botelho JC, Shearer JJ, Sampson JN, Setiawan VW, Wilkens LR, Silverman DT, Purdue MP, Hofmann JN. Serum concentrations of per- and polyfluoroalkyl substances and risk of renal cell carcinoma in the Multiethnic Cohort Study. Environ Int 2023; 180:108197. [PMID: 37741007 DOI: 10.1016/j.envint.2023.108197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 08/11/2023] [Accepted: 09/07/2023] [Indexed: 09/25/2023]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are environmentally persistent organic pollutants detectable in the serum of most U.S. adults. We previously reported a positive association between serum perfluorooctanoate (PFOA) concentrations and risk of renal cell carcinoma (RCC) within the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial, comprising predominantly White individuals enrolled in 1993-2001. To extend our investigations to a larger and more racially and ethnically diverse population, we conducted a nested case-control study of serum PFAS concentrations and RCC within the Multiethnic Cohort Study. We measured pre-diagnostic serum concentrations of nine PFAS among 428 RCC cases and 428 individually matched controls. We estimated odds ratios (ORs) and 95 % confidence intervals (CIs) for risk of RCC in relation to each PFAS using conditional logistic regression, adjusting for RCC risk factors and other PFAS. PFOA was not associated with RCC risk overall [doubling in serum concentration, ORcontinuous = 0.89 (95 %CI = 0.67, 1.18)]. However, we observed suggestive positive associations among White participants [2.12 (0.87, 5.18)] and among participants who had blood drawn before 2002 [1.49 (0.77, 2.87)]. Furthermore, higher perfluorononanoate (PFNA) concentration was associated with increased risk of RCC overall [fourth vs. first quartile, OR = 1.84 (0.97, 3.50), Ptrend = 0.04; ORcontinuous = 1.29 (0.97, 1.71)], with the strongest association observed among African American participants [ORcontinuous = 3.69 (1.33, 10.25)], followed by Native Hawaiian [2.24 (0.70, 7.19)] and White [1.98 (0.92, 4.25)] participants. Most other PFAS were not associated with RCC. While PFOA was not associated with RCC risk overall in this racially and ethnically diverse population, the positive associations observed among White participants and those with sera collected before 2002 are consistent with previous PLCO findings. Our study also provided new evidence of a positive association between PFNA and RCC risk that was strongest in African American participants. These findings highlight the need for additional epidemiologic research investigating PFAS exposures and RCC in large racially and ethnically diverse populations.
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Affiliation(s)
- Jongeun Rhee
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Vicky C Chang
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Antonia M Calafat
- Organic Analytical Toxicology Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Julianne Cook Botelho
- Organic Analytical Toxicology Branch, Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Veronica Wendy Setiawan
- Department of Population and Public Health Sciences and Norris Comprehensive Cancer Center, University of Southern California, CA, USA
| | - Lynne R Wilkens
- Population Sciences in the Pacific Program (Cancer Epidemiology), University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
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16
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Josse PR, Locke SJ, Bowles HR, Wolff-Hughes DL, Sauve JF, Andreotti G, Moon J, Hofmann JN, Beane Freeman LE, Friesen MC. Using a smartphone application to capture daily work activities: a longitudinal pilot study in a farming population. Ann Work Expo Health 2023; 67:895-906. [PMID: 37382523 PMCID: PMC10410491 DOI: 10.1093/annweh/wxad034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/30/2023] [Indexed: 06/30/2023] Open
Abstract
OBJECTIVES Smartphones are increasingly used to collect real-time information on time-varying exposures. We developed and deployed an application (app) to evaluate the feasibility of using smartphones to collect real-time information on intermittent agricultural activities and to characterize agricultural task variability in a longitudinal study of farmers. METHODS We recruited 19 male farmers, aged 50-60 years, to report their farming activities on 24 randomly selected days over 6 months using the Life in a Day app. Eligibility criteria include personal use of an iOS or Android smartphone and >4 h of farming activities at least two days per week. We developed a study-specific database of 350 farming tasks that were provided in the app; 152 were linked to questions that were asked when the activity ended. We report eligibility, study compliance, number of activities, duration of activities by day and task, and responses to the follow-up questions. RESULTS Of the 143 farmers we reached out to for this study, 16 were not reached by phone or refused to answer eligibility questions, 69 were ineligible (limited smartphone use and/or farming time), 58 met study criteria, and 19 agreed to participate. Refusals were mostly related to uneasiness with the app and/or time commitment (32 of 39). Participation declined gradually over time, with 11 farmers reporting activities through the 24-week study period. We obtained data on 279 days (median 554 min/day; median 18 days per farmer) and 1,321 activities (median 61 min/activity; median 3 activities per day per farmer). The activities were predominantly related to animals (36%), transportation (12%), and equipment (10%). Planting crops and yard work had the longest median durations; short-duration tasks included fueling trucks, collecting/storing eggs, and tree work. Time period-specific variability was observed; for example, crop-related activities were reported for an average of 204 min/day during planting but only 28 min/day during pre-planting and 110 min/day during the growing period. We obtained additional information for 485 (37%) activities; the most frequently asked questions were related to "feed animals" (231 activities) and "operate fuel-powered vehicle (transportation)" (120 activities). CONCLUSIONS Our study demonstrated feasibility and good compliance in collecting longitudinal activity data over 6 months using smartphones in a relatively homogeneous population of farmers. We captured most of the farming day and observed substantial heterogeneity in activities, highlighting the need for individual activity data when characterizing exposure in farmers. We also identified several areas for improvement. In addition, future evaluations should include more diverse populations.
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Affiliation(s)
- Pabitra R Josse
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Sarah J Locke
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Heather R Bowles
- Biometry Research Group, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, Unites States
| | - Dana L Wolff-Hughes
- Epidemiology and Genomics Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, United States
| | | | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Jon Moon
- MEI Research, Edina, MN, United States
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
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17
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Russ DE, Josse P, Remen T, Hofmann JN, Purdue MP, Siemiatycki J, Silverman DT, Zhang Y, Lavoué J, Friesen MC. Evaluation of the updated SOCcer v2 algorithm for coding free-text job descriptions in three epidemiologic studies. Ann Work Expo Health 2023; 67:772-783. [PMID: 37071789 PMCID: PMC10324641 DOI: 10.1093/annweh/wxad020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 03/21/2023] [Indexed: 04/20/2023] Open
Abstract
OBJECTIVES Computer-assisted coding of job descriptions to standardized occupational classification codes facilitates evaluating occupational risk factors in epidemiologic studies by reducing the number of jobs needing expert coding. We evaluated the performance of the 2nd version of SOCcer, a computerized algorithm designed to code free-text job descriptions to US SOC-2010 system based on free-text job titles and work tasks, to evaluate its accuracy. METHODS SOCcer v2 was updated by expanding the training data to include jobs from several epidemiologic studies and revising the algorithm to account for nonlinearity and incorporate interactions. We evaluated the agreement between codes assigned by experts and the highest scoring code (a measure of confidence in the algorithm-predicted assignment) from SOCcer v1 and v2 in 14,714 jobs from three epidemiology studies. We also linked exposure estimates for 258 agents in the job-exposure matrix CANJEM to the expert and SOCcer v2-assigned codes and compared those estimates using kappa and intraclass correlation coefficients. Analyses were stratified by SOCcer score, score distance between the top two scoring codes from SOCcer, and features from CANJEM. RESULTS SOCcer's v2 agreement at the 6-digit level was 50%, compared to 44% in v1, and was similar for the three studies (38%-45%). Overall agreement for v2 at the 2-, 3-, and 5-digit was 73%, 63%, and 56%, respectively. For v2, median ICCs for the probability and intensity metrics were 0.67 (IQR 0.59-0.74) and 0.56 (IQR 0.50-0.60), respectively. The agreement between the expert and SOCcer assigned codes linearly increased with SOCcer score. The agreement also improved when the top two scoring codes had larger differences in score. CONCLUSIONS Overall agreement with SOCcer v2 applied to job descriptions from North American epidemiologic studies was similar to the agreement usually observed between two experts. SOCcer's score predicted agreement with experts and can be used to prioritize jobs for expert review.
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Affiliation(s)
- Daniel E Russ
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
- Data Science and Engineering Research Group, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Pabitra Josse
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Thomas Remen
- CHUM Research Center, Université de Montréal, Montréal, QC, Canada
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Jack Siemiatycki
- CHUM Research Center, Université de Montréal, Montréal, QC, Canada
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, United States
| | - Jerome Lavoué
- CHUM Research Center, Université de Montréal, Montréal, QC, Canada
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States
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18
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Wu Z, Petrick JL, Florio AA, Guillemette C, Beane Freeman LE, Buring JE, Bradwin G, Caron P, Chen Y, Eliassen AH, Engel LS, Freedman ND, Gaziano JM, Giovannuci EL, Hofmann JN, Huang WY, Kirsh VA, Kitahara CM, Koshiol J, Lee IM, Liao LM, Newton CC, Palmer JR, Purdue MP, Rohan TE, Rosenberg L, Sesso HD, Sinha R, Stampfer MJ, Um CY, Van Den Eeden SK, Visvanathan K, Wactawski-Wende J, Zeleniuch-Jacquotte A, Zhang X, Graubard BI, Campbell PT, McGlynn KA. Endogenous sex steroid hormones and risk of liver cancer among US men: Results from the Liver Cancer Pooling Project. JHEP Rep 2023; 5:100742. [PMID: 37425211 PMCID: PMC10326694 DOI: 10.1016/j.jhepr.2023.100742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 02/28/2023] [Accepted: 03/03/2023] [Indexed: 07/11/2023] Open
Abstract
Background & Aims Incidence rates of liver cancer in most populations are two to three times higher among men than women. The higher rates among men have led to the suggestion that androgens are related to increased risk whereas oestrogens are related to decreased risk. This hypothesis was investigated in the present study via a nested case-control analysis of pre-diagnostic sex steroid hormone levels among men in five US cohorts. Methods Concentrations of sex steroid hormones and sex hormone-binding globulin were quantitated using gas chromatography-mass spectrometry and a competitive electrochemiluminescence immunoassay, respectively. Multivariable conditional logistic regression was used to calculate odds ratios (ORs) and 95% CIs for associations between hormones and liver cancer among 275 men who subsequently developed liver cancer and 768 comparison men. Results Higher concentrations of total testosterone (OR per one-unit increase in log2 = 1.77, 95% CI = 1.38-2.29), dihydrotestosterone (OR = 1.76, 95% CI = 1.21-2.57), oestrone (OR = 1.74, 95% CI = 1.08-2.79), total oestradiol (OR = 1.58, 95% CI=1.22-20.05), and sex hormone-binding globulin (OR = 1.63, 95% CI = 1.27-2.11) were associated with increased risk. Higher concentrations of dehydroepiandrosterone (DHEA), however, were associated with a 53% decreased risk (OR = 0.47, 95% CI = 0.33-0.68). Conclusions Higher concentrations of both androgens (testosterone, dihydrotestosterone) and their aromatised oestrogenic metabolites (oestrone, oestradiol) were observed among men who subsequently developed liver cancer compared with men who did not. As DHEA is an adrenal precursor of both androgens and oestrogens, these results may suggest that a lower capacity to convert DHEA to androgens, and their subsequent conversion to oestrogens, confers a lower risk of liver cancer, whereas a greater capacity to convert DHEA confers a greater risk. Impact and implications This study does not fully support the current hormone hypothesis as both androgen and oestrogen levels were associated with increased risk of liver cancer among men. The study also found that higher DHEA levels were associated with lower risk, thus suggesting the hypothesis that greater capacity to convert DHEA could be associated with increased liver cancer risk among men.
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Affiliation(s)
- Zeni Wu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Andrea A. Florio
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Chantal Guillemette
- Pharmacogenomics Laboratory, Centre Hospitalier Universitaire de Québec-(CHU de Québec) Research Center–Université Laval, Québec, QC, Canada
- Faculty of Pharmacy and Cancer Research Center, Laval University, Québec, QC, Canada
| | - Laura E. Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Julie E. Buring
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Gary Bradwin
- Clinical and Epidemiologic Research Laboratory, Department of Laboratory Medicine, Boston Children’s Hospital, Boston, MA, USA
| | - Patrick Caron
- Pharmacogenomics Laboratory, Centre Hospitalier Universitaire de Québec-(CHU de Québec) Research Center–Université Laval, Québec, QC, Canada
| | - Yu Chen
- Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - A. Heather Eliassen
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Lawrence S. Engel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Neal D. Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - J. Michael Gaziano
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Edward L. Giovannuci
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jonathan N. Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Victoria A. Kirsh
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Epidemiology Division, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Cari M. Kitahara
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jill Koshiol
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - I-Min Lee
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Linda M. Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Julie R. Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Mark P. Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Thomas E. Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, USA
| | - Lynn Rosenberg
- Slone Epidemiology Center, Boston University, Boston, MA, USA
| | - Howard D. Sesso
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Meir J. Stampfer
- Department of Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Caroline Y. Um
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | | | - Kala Visvanathan
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA
| | | | - Xuehong Zhang
- Department of Nutrition, T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Barry I. Graubard
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | | | - Katherine A. McGlynn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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Friesen MC, Xie S, Sauvé JF, Viet SM, Josse PR, Locke SJ, Hung F, Andreotti G, Thorne PS, Hofmann JN, Beane Freeman LE. An algorithm for quantitatively estimating occupational endotoxin exposure in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study: I. Development of task-specific exposure levels from published data. Am J Ind Med 2023; 66:561-572. [PMID: 37087684 DOI: 10.1002/ajim.23486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/14/2023] [Accepted: 04/12/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND/OBJECTIVE Farmers conduct numerous tasks with potential for endotoxin exposure. As a first step to characterize endotoxin exposure for farmers in the Biomarkers of Exposure and Effect in Agriculture (BEEA) Study, we used published data to estimate task-specific endotoxin concentrations. METHODS We extracted published data on task-specific, personal, inhalable endotoxin concentrations for agricultural tasks queried in the study questionnaire. The data, usually abstracted as summary measures, were evaluated using meta-regression models that weighted each geometric mean (GM, natural-log transformed) by the inverse of its within-study variance to obtain task-specific predicted GMs. RESULTS We extracted 90 endotoxin summary statistics from 26 studies for 9 animal-related tasks, 30 summary statistics from 6 studies for 3 crop-related tasks, and 10 summary statistics from 5 studies for 4 stored grain-related tasks. Work in poultry and swine confinement facilities, grinding feed, veterinarian services, and cleaning grain bins had predicted GMs > 1000 EU/m3 . In contrast, harvesting or hauling grain and other crop-related tasks had predicted GMs below 100 EU/m3 . SIGNIFICANCE These task-specific endotoxin GMs demonstrated exposure variability across common agricultural tasks. These estimates will be used in conjunction with questionnaire responses on task duration to quantitatively estimate endotoxin exposure for study participants, described in a companion paper.
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Affiliation(s)
- Melissa C Friesen
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute), Bethesda, Maryland, USA
| | - Shuai Xie
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute), Bethesda, Maryland, USA
| | - Jean-François Sauvé
- Institut National de Recherche et de Sécurité, Vandoeuvre-lès-Nancy, France (work was done while at Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | | | - Pabitra R Josse
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute), Bethesda, Maryland, USA
| | - Sarah J Locke
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute), Bethesda, Maryland, USA
| | - Felicia Hung
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut, USA
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute), Bethesda, Maryland, USA
| | - Peter S Thorne
- Department of Occupational and Environmental Health, University of Iowa, Iowa City, Iowa, USA
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute), Bethesda, Maryland, USA
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute), Bethesda, Maryland, USA
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Rhee J, Barry KH, Huang WY, Sampson JN, Hofmann JN, Silverman DT, Calafat AM, Botelho JC, Kato K, Purdue MP, Berndt SI. A prospective nested case-control study of serum concentrations of per- and polyfluoroalkyl substances and aggressive prostate cancer risk. Environ Res 2023; 228:115718. [PMID: 36958379 DOI: 10.1016/j.envres.2023.115718] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/24/2023] [Accepted: 03/17/2023] [Indexed: 05/16/2023]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are environmentally persistent organic pollutants detectable in the serum of most U.S. adults. Some studies of highly-exposed individuals have suggested an association between PFAS and prostate cancer, but evidence from population-based studies is limited. We investigated the association between pre-diagnostic serum PFAS concentrations and aggressive prostate cancer risk in a large prospective study. We measured pre-diagnostic serum concentrations of eight PFAS, including perfluorooctanoate (PFOA), for 750 aggressive prostate cancer cases and 750 individually matched controls within the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. We assessed the reproducibility of PFAS concentrations in serial samples collected up to six years apart among 60 controls using intraclass correlation coefficients (ICCs). Conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association with prostate cancer, adjusting for other PFAS and potential confounders. Concentrations of most PFAS were consistent (ICC>0.7) across the serial samples over time. We observed an inverse association between PFOA and aggressive prostate cancer (ORcontinuous = 0.79, 95% CI = 0.63, 0.99), but the association was limited to cases diagnosed ≤3 years after blood collection and became statistically non-significant for cases diagnosed with later follow-up (>3 years, ORcontinuous = 0.90, 95% CI = 0.79, 1.03). Other PFAS were not associated with aggressive prostate cancer risk. Although we cannot rule out an increased risk at higher levels, our findings from a population with PFAS serum concentrations comparable to the general population do not support an association with increased risk of aggressive prostate cancer.
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Affiliation(s)
- Jongeun Rhee
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, MD, USA
| | - Kathryn H Barry
- Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | | | | | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, MD, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, MD, USA
| | - Antonia M Calafat
- Organic Analytical Toxicology Branch, Division of Laboratory Sciences, National Center for Environmental Health of the U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Julianne Cook Botelho
- Organic Analytical Toxicology Branch, Division of Laboratory Sciences, National Center for Environmental Health of the U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Kayoko Kato
- Organic Analytical Toxicology Branch, Division of Laboratory Sciences, National Center for Environmental Health of the U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, MD, USA.
| | - Sonja I Berndt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute (NCI), Rockville, MD, USA.
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Friesen MC, Beane Freeman LE, Locke SJ, Josse PR, Xie S, Viet SM, Sauvé JF, Andreotti G, Thorne PS, Hofmann JN. An algorithm for quantitatively estimating occupational endotoxin exposure in the biomarkers of exposure and effect in agriculture study: II. Application to the study population. Am J Ind Med 2023; 66:573-586. [PMID: 37087683 PMCID: PMC10265745 DOI: 10.1002/ajim.23485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/14/2023] [Accepted: 04/12/2023] [Indexed: 04/24/2023]
Abstract
BACKGROUND We developed an algorithm to quantitatively estimate endotoxin exposure for farmers in the Biomarkers of Exposure and Effect in Agriculture (BEEA) Study. METHODS The algorithm combined task intensity estimates derived from published data with questionnaire responses on activity duration to estimate task-specific cumulative endotoxin exposures for 13 tasks during four time windows, ranging from "past 12 months" to "yesterday/today." We applied the algorithm to 1681 participants in Iowa and North Carolina. We examined correlations in endotoxin metrics within- and between-task. We also compared these metrics to prior day full-shift inhalable endotoxin concentrations from 32 farmers. RESULTS The highest median task-specific cumulative exposures were observed for swine confinement, poultry confinement, and grind feed. Inter-quartile ranges showed substantial between-subject variability for most tasks. Time window-specific metrics of the same task were moderately-highly correlated. Between-task correlation was variable, with moderately-high correlations observed for similar tasks (e.g., between animal-related tasks). Prior day endotoxin concentration increased with the total metric and with task metrics for swine confinement, clean other animal facilities, and clean grain bins. SIGNIFICANCE This study provides insight into the variability and sources of endotoxin exposure among farmers in the BEEA study and summarizes exposure estimates for future investigations in this population.
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Affiliation(s)
- Melissa C. Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Laura E. Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Sarah J. Locke
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Pabitra R. Josse
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Shuai Xie
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Jean-François Sauvé
- Institut National de Recherche et de Sécurité, Vandoeuvre-lès-Nancy, France (work was done while at Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Peter S. Thorne
- Department of Occupational and Environmental Health, University of Iowa, Iowa City, IA, USA
| | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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22
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Clavero E, Sanchez-Maldonado JM, Macauda A, Ter Horst R, Sampaio-Marques B, Jurczyszyn A, Clay-Gilmour A, Stein A, Hildebrandt MAT, Weinhold N, Buda G, García-Sanz R, Tomczak W, Vogel U, Jerez A, Zawirska D, Wątek M, Hofmann JN, Landi S, Spinelli JJ, Butrym A, Kumar A, Martínez-López J, Galimberti S, Sarasquete ME, Subocz E, Iskierka-Jażdżewska E, Giles GG, Rybicka-Ramos M, Kruszewski M, Abildgaard N, Verdejo FG, Sánchez Rovira P, da Silva Filho MI, Kadar K, Razny M, Cozen W, Pelosini M, Jurado M, Bhatti P, Dudzinski M, Druzd-Sitek A, Orciuolo E, Li Y, Norman AD, Zaucha JM, Reis RM, Markiewicz M, Rodríguez Sevilla JJ, Andersen V, Jamroziak K, Hemminki K, Berndt SI, Rajkumar V, Mazur G, Kumar SK, Ludovico P, Nagler A, Chanock SJ, Dumontet C, Machiela MJ, Varkonyi J, Camp NJ, Ziv E, Vangsted AJ, Brown EE, Campa D, Vachon CM, Netea MG, Canzian F, Försti A, Sainz J. Polymorphisms within Autophagy-Related Genes as Susceptibility Biomarkers for Multiple Myeloma: A Meta-Analysis of Three Large Cohorts and Functional Characterization. Int J Mol Sci 2023; 24:ijms24108500. [PMID: 37239846 DOI: 10.3390/ijms24108500] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 04/10/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
Multiple myeloma (MM) arises following malignant proliferation of plasma cells in the bone marrow, that secrete high amounts of specific monoclonal immunoglobulins or light chains, resulting in the massive production of unfolded or misfolded proteins. Autophagy can have a dual role in tumorigenesis, by eliminating these abnormal proteins to avoid cancer development, but also ensuring MM cell survival and promoting resistance to treatments. To date no studies have determined the impact of genetic variation in autophagy-related genes on MM risk. We performed meta-analysis of germline genetic data on 234 autophagy-related genes from three independent study populations including 13,387 subjects of European ancestry (6863 MM patients and 6524 controls) and examined correlations of statistically significant single nucleotide polymorphisms (SNPs; p < 1 × 10-9) with immune responses in whole blood, peripheral blood mononuclear cells (PBMCs), and monocyte-derived macrophages (MDM) from a large population of healthy donors from the Human Functional Genomic Project (HFGP). We identified SNPs in six loci, CD46, IKBKE, PARK2, ULK4, ATG5, and CDKN2A associated with MM risk (p = 4.47 × 10-4-5.79 × 10-14). Mechanistically, we found that the ULK4rs6599175 SNP correlated with circulating concentrations of vitamin D3 (p = 4.0 × 10-4), whereas the IKBKErs17433804 SNP correlated with the number of transitional CD24+CD38+ B cells (p = 4.8 × 10-4) and circulating serum concentrations of Monocyte Chemoattractant Protein (MCP)-2 (p = 3.6 × 10-4). We also found that the CD46rs1142469 SNP correlated with numbers of CD19+ B cells, CD19+CD3- B cells, CD5+IgD- cells, IgM- cells, IgD-IgM- cells, and CD4-CD8- PBMCs (p = 4.9 × 10-4-8.6 × 10-4) and circulating concentrations of interleukin (IL)-20 (p = 0.00082). Finally, we observed that the CDKN2Ars2811710 SNP correlated with levels of CD4+EMCD45RO+CD27- cells (p = 9.3 × 10-4). These results suggest that genetic variants within these six loci influence MM risk through the modulation of specific subsets of immune cells, as well as vitamin D3-, MCP-2-, and IL20-dependent pathways.
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Affiliation(s)
- Esther Clavero
- Hematology Department, Virgen de las Nieves University Hospital, 18012 Granada, Spain
| | - José Manuel Sanchez-Maldonado
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
- Instituto de Investigación Biosanataria IBs, Granada, 18014 Granada, Spain
| | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Rob Ter Horst
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, 1090 Vienna, Austria
| | - Belém Sampaio-Marques
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal
| | - Artur Jurczyszyn
- Plasma Cell Dyscrasias Center, Department of Hematology, Jagiellonian University Medical College, 31-066 Kraków, Poland
| | - Alyssa Clay-Gilmour
- Department of Biostatistics and Epidemiology, Arnold School of Public Health, University of South Carolina, Greenville, SC 29208, USA
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55902, USA
| | - Angelika Stein
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Michelle A T Hildebrandt
- Department of Lymphoma-Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Niels Weinhold
- Myeloma Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
- Department of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany
| | - Gabriele Buda
- Haematology Unit, Department of Clinical and Experimental Medicine, University of Pisa/AOUP, 56126 Pisa, Italy
| | - Ramón García-Sanz
- Diagnostic Laboratory Unit in Hematology, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Waldemar Tomczak
- Department of Hematooncology and Bone Marrow Transplantation, Medical University of Lublin, 20-059 Lublin, Poland
| | - Ulla Vogel
- National Research Centre for the Working Environment, DK-2100 Copenhagen, Denmark
| | - Andrés Jerez
- Department of Hematology, Experimental Hematology Unit, Vall d'Hebron Institute of Oncology (VHIO), University Hospital Vall d'Hebron, 08035 Barcelona, Spain
| | - Daria Zawirska
- Department of Hematology, University Hospital, 30-688 Kraków, Poland
| | - Marzena Wątek
- Holycross Medical Oncology Center, 25-735 Kielce, Poland
- Institute of Hematology and Transfusion Medicine, 00-791 Warsaw, Poland
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Stefano Landi
- Department of Biology, University of Pisa, 56126 Pisa, Italy
| | - John J Spinelli
- Division of Population Oncology, BC Cancer, Vancouver, BC V5Z 4E6, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Aleksandra Butrym
- Department of Cancer Prevention and Therapy, Wroclaw Medical University, 50-367 Wroclaw, Poland
- Alfred Sokolowski Specialist Hospital in Walbrzych Oncology Support Centre for Clinical Trials, 58-309 Walbrzych, Poland
| | - Abhishek Kumar
- Institute of Bioinformatics, International Technology Park, Bangalore 560066, India
- Manipal Academy of Higher Education (MAHE), Manipal 576104, India
| | | | - Sara Galimberti
- Haematology Unit, Department of Clinical and Experimental Medicine, University of Pisa/AOUP, 56126 Pisa, Italy
| | - María Eugenia Sarasquete
- Diagnostic Laboratory Unit in Hematology, University Hospital of Salamanca, IBSAL, CIBERONC, Centro de Investigación del Cáncer-IBMCC (USAL-CSIC), 37007 Salamanca, Spain
| | - Edyta Subocz
- Department of Hematology, Military Institute of Medicine, 04-141 Warsaw, Poland
| | | | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia
| | - Malwina Rybicka-Ramos
- Department of Hematology, Specialist Hospital No. 1 in Bytom, Academy of Silesia, Faculty of Medicine, 40-055 Katowice, Poland
| | - Marcin Kruszewski
- Department of Hematology, University Hospital No. 2, 85-168 Bydgoszcz, Poland
| | - Niels Abildgaard
- Department of Hematology, Odense University Hospital, DK-5000 Odense, Denmark
| | | | - Pedro Sánchez Rovira
- Department of Medical Oncology, Complejo Hospitalario de Jaén, 23007 Jaén, Spain
| | - Miguel Inacio da Silva Filho
- Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 580, D-69120 Heidelberg, Germany
| | | | - Małgorzata Razny
- Department of Hematology, Rydygier Hospital, 31-826 Cracow, Poland
| | - Wendy Cozen
- Division of Hematology/Oncology, Department of Medicine, School of Medicine, Department of Pathology, School of Medicine, Susan and Henry Samueli College of Health Sciences, Chao Family Comprehensive Cancer Center, University of California at Irvine, Irvine, CA 92697, USA
| | - Matteo Pelosini
- U.O. Dipartimento di Ematologia, Azienda USL Toscana Nord Ovest, 57124 Livorno, Italy
| | - Manuel Jurado
- Hematology Department, Virgen de las Nieves University Hospital, 18012 Granada, Spain
- Instituto de Investigación Biosanataria IBs, Granada, 18014 Granada, Spain
- Department of Medicine, University of Granada, 18012 Granada, Spain
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer, Vancouver, BC V5Z 4E6, Canada
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Marek Dudzinski
- Department of Hematology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszow, 35-310 Rzeszow, Poland
| | - Agnieszka Druzd-Sitek
- Department of Lymphoproliferative Diseases, Maria Skłodowska Curie National Research Institute of Oncology, 02-781 Warsaw, Poland
| | - Enrico Orciuolo
- Haematology Unit, Department of Clinical and Experimental Medicine, University of Pisa/AOUP, 56126 Pisa, Italy
| | - Yang Li
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Centre for Individualised Infection Medicine (CiiM) & TWINCORE, Joint Ventures between the Helmholtz-Centre for Infection Research (HZI) and the Hannover Medical School (MHH), 30625 Hannover, Germany
| | - Aaron D Norman
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55902, USA
- Genetic Epidemiology and Risk Assessment Program, Mayo Clinic Comprehensive Cancer Center, Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55902, USA
| | - Jan Maciej Zaucha
- Department of Hematology and Transplantology, Medical University of Gdansk, 80-210 Gdansk, Poland
| | - Rui Manuel Reis
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, 4710-057 Braga, Portugal and ICVS/3B's-PT Government Associate Laboratory, 4710-057 Braga/Guimarães, Portugal
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos 14784-400, Brazil
| | - Miroslaw Markiewicz
- Department of Hematology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszow, 35-310 Rzeszow, Poland
| | | | - Vibeke Andersen
- Molecular Diagnostics and Clinical Research Unit, Institute of Regional Health Research, University Hospital of Southern Denmark, DK-6200 Aabenraa, Denmark
| | - Krzysztof Jamroziak
- Department of Hematology, Transplantology and Internal Medicine, Medical University of Warsaw, 02-097 Warsaw, Poland
| | - Kari Hemminki
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, 30605 Pilsen, Czech Republic
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Vicent Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Grzegorz Mazur
- Department of Internal Diseases, Occupational Medicine, Hypertension and Clinical Oncology, Wroclaw Medical University, 50-368 Wroclaw, Poland
| | - Shaji K Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN 55902, USA
| | - Paula Ludovico
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, 4710-057 Braga, Portugal
| | - Arnon Nagler
- Hematology Division, Chaim Sheba Medical Center, Tel Hashomer 52621, Israel
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Charles Dumontet
- UMR INSERM 1052/CNRS 5286, University of Lyon, Hospices Civils de Lyon, 69008 Lyon, France
| | - Mitchell J Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | - Nicola J Camp
- Division of Hematology, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA
| | - Elad Ziv
- Department of Medicine, University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94143, USA
| | - Annette Juul Vangsted
- Department of Hematology, Rigshospitalet, Copenhagen University, DK-2100 Copenhagen, Denmark
| | - Elizabeth E Brown
- Department of Pathology, Heersink School of Medicine, The University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Daniele Campa
- Department of Biology, University of Pisa, 56126 Pisa, Italy
| | - Celine M Vachon
- Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55902, USA
| | - Mihai G Netea
- Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
- Department for Immunology & Metabolism, Life and Medical Sciences Institute (LIMES), University of Bonn, 53115 Bonn, Germany
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Asta Försti
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
- Hopp Children's Cancer Center (KiTZ), 69120 Heidelberg, Germany
| | - Juan Sainz
- Genomic Oncology Area, GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS, 18016 Granada, Spain
- Instituto de Investigación Biosanataria IBs, Granada, 18014 Granada, Spain
- Department of Biochemistry and Molecular Biology I, University of Granada, 18071 Granada, Spain
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23
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Xie S, Hofmann JN, Sampson JN, Josse PR, Andreotti G, Madrigal JM, Ward MH, Beane Freeman LE, Friesen MC. Elevated 2,4-dichlorophenoxyacetic acid (2,4-D) herbicide concentrations in the household dust of farmers with recent occupational use. J Occup Environ Hyg 2023; 20:207-218. [PMID: 37017362 DOI: 10.1080/15459624.2023.2198588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
Pesticide dust concentrations in homes have been previously associated with occupational and home/garden use of pesticides, hygiene practices, and other factors. This study evaluated the relationship between self-reported use of 2,4-dichlorophenoxyacetic acid (2,4-D) and house dust concentrations and these factors in the Biomarkers of Exposure and Effect in Agriculture (BEEA) Study, a molecular epidemiologic study of farmers in Iowa and North Carolina. The vacuum dust from the homes of 35 BEEA participants was analyzed for the presence of 2,4-D. Participants provided detailed information on occupational and home/garden pesticide use during the past 12 months and reported household characteristics via questionnaires. Linear regression models were used to examine the association between 2,4-D concentrations and four exposure metrics for occupational use in the last 12 months (yes/no, days since last use, days of use, intensity-weighted days of use), home/garden use (yes/no), as well as several household characteristics. 2,4-D was detected in all homes and was used occupationally by 54% of the participants. In a multi-variable model, compared to homes with no occupational or home/garden 2,4-D use reported in the past 12 months, concentrations were 1.6 (95% confidence interval (CI): 0.5, 4.9) times higher in homes with low occupational 2,4-D use (intensity-weighted days < median) and 3.1 (95% CI: 1.0, 9.8) times higher in homes of participants with high use (≥median intensity-weighted days) (p-trend = 0.06). Similar patterns were observed with other occupational metrics. Additionally, 2,4-D dust concentrations were non-significantly elevated (relative difference (RD) = 1.8, 95% CI: 0.5, 6.2) in homes with home/garden use and were significantly lower in homes that did not have carpets (RD = 0.20, 95% CI: 0.04, 0.98). These analyses suggest that elevated 2,4-D dust concentrations were associated with several metrics of recent occupational use and may be influenced by home/garden use and household characteristics.
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Affiliation(s)
- Shuai Xie
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Joshua N Sampson
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Pabitra R Josse
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Jessica M Madrigal
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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24
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Bradley PM, Kolpin DW, Thompson DA, Romanok KM, Smalling KL, Breitmeyer SE, Cardon MC, Cwiertny DM, Evans N, Field RW, Focazio MJ, Beane Freeman LE, Givens CE, Gray JL, Hager GL, Hladik ML, Hofmann JN, Jones RR, Kanagy LK, Lane RF, McCleskey RB, Medgyesi D, Medlock-Kakaley EK, Meppelink SM, Meyer MT, Stavreva DA, Ward MH. Juxtaposition of intensive agriculture, vulnerable aquifers, and mixed chemical/microbial exposures in private-well tapwater in northeast Iowa. Sci Total Environ 2023; 868:161672. [PMID: 36657670 PMCID: PMC9976626 DOI: 10.1016/j.scitotenv.2023.161672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 01/13/2023] [Accepted: 01/13/2023] [Indexed: 06/17/2023]
Abstract
In the United States and globally, contaminant exposure in unregulated private-well point-of-use tapwater (TW) is a recognized public-health data gap and an obstacle to both risk-management and homeowner decision making. To help address the lack of data on broad contaminant exposures in private-well TW from hydrologically-vulnerable (alluvial, karst) aquifers in agriculturally-intensive landscapes, samples were collected in 2018-2019 from 47 northeast Iowa farms and analyzed for 35 inorganics, 437 unique organics, 5 in vitro bioassays, and 11 microbial assays. Twenty-six inorganics and 51 organics, dominated by pesticides and related transformation products (35 herbicide-, 5 insecticide-, and 2 fungicide-related), were observed in TW. Heterotrophic bacteria detections were near ubiquitous (94 % of the samples), with detection of total coliform bacteria in 28 % of the samples and growth on at least one putative-pathogen selective media across all TW samples. Health-based hazard index screening levels were exceeded frequently in private-well TW and attributed primarily to inorganics (nitrate, uranium). Results support incorporation of residential treatment systems to protect against contaminant exposure and the need for increased monitoring of rural private-well homes. Continued assessment of unmonitored and unregulated private-supply TW is needed to model contaminant exposures and human-health risks.
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Affiliation(s)
| | | | | | | | | | | | - Mary C Cardon
- U.S. Environmental Protection Agency, Durham, NC, USA
| | | | - Nicola Evans
- U.S. Environmental Protection Agency, Durham, NC, USA
| | | | | | | | | | | | | | | | | | - Rena R Jones
- National Cancer Institute/NIH, Rockville, MD, USA
| | | | | | | | | | | | | | | | | | - Mary H Ward
- National Cancer Institute/NIH, Rockville, MD, USA
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25
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Erickson PA, Chang VC, Dagnall CL, Teshome K, Machiela MJ, Barry KH, Gadalla SM, Freeman LEB, Andreotti G, Hofmann JN. Abstract 4220: Occupational pesticide use and relative leukocyte telomere length in the biomarkers of exposure and effect in agriculture study. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-4220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
Background: Previous epidemiologic studies have reported increased risks of certain cancers in relation to specific pesticide exposures, although the mechanisms underlying many of these associations remain poorly understood. Within the Biomarkers of Exposure and Effect in Agriculture (BEEA) study, a molecular epidemiologic investigation of pesticide applicators in Iowa and North Carolina, we examined whether occupational use of pesticides is associated with alterations in leukocyte telomere length. Telomeres are essential in maintaining chromosomal stability and altered telomere length has been linked to various malignancies.
Methods: Relative telomere length (RTL) was measured using quantitative PCR in leukocytes from 1,539 male pesticide applicators ≥50 years of age. Using self-reported information on pesticide use, we characterized lifetime use of specific pesticides in terms of ever use and intensity-weighted lifetime days (IWLDs), a metric integrating total lifetime days of use and other factors influencing exposure. Multivariable linear regression models were used to estimate differences in geometric mean RTL (and corresponding 95% confidence intervals) by ever vs. never use of 48 pesticides and in exposure-response analyses for IWLDs of use of 46 pesticides, adjusting for age, state of residence, race/ethnicity, body mass index, and cigarette smoking status and pack-years.
Results: Among ever users of the insecticides lindane and aldicarb, mean RTL was significantly longer compared to never users (p=0.01 and 0.03, respectively); in exposure-response analyses, we also observed a suggestive but non-statistically significant trend between increasing IWLDs of lindane use and longer RTL (p-trend=0.07). Higher IWLDs of use of the insecticide diazinon was also associated with longer RTL (p-trend=0.03) while increasing IWLDs of the insecticide heptachlor and the herbicide 2,4,5-TP were associated with shorter RTL (p-trends=0.04 and 0.03, respectively).
Conclusions: This is, to our knowledge, the largest investigation of occupational pesticide use and RTL to date. Our findings provide novel evidence suggesting that use of certain pesticides could be associated with altered leukocyte telomere length. Notably, diazinon and lindane have previously been associated with increased risks of lung and lymphoid malignancies, respectively, and longer leukocyte telomere length has been implicated in the development of these cancers.
Citation Format: Patricia A. Erickson, Vicky C. Chang, Casey L. Dagnall, Kedest Teshome, Mitchell J. Machiela, Kathryn H. Barry, Shahinaz M. Gadalla, Laura E. Beane Freeman, Gabriella Andreotti, Jonathan N. Hofmann. Occupational pesticide use and relative leukocyte telomere length in the biomarkers of exposure and effect in agriculture study. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4220.
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Affiliation(s)
| | - Vicky C. Chang
- 1National Cancer Inst. Div. of Cancer Epidemiology & Genetics, Rockville, MD
| | - Casey L. Dagnall
- 2Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, MD
| | - Kedest Teshome
- 2Cancer Genomics Research Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Rockville, MD
| | | | | | - Shahinaz M. Gadalla
- 1National Cancer Inst. Div. of Cancer Epidemiology & Genetics, Rockville, MD
| | | | - Gabriella Andreotti
- 1National Cancer Inst. Div. of Cancer Epidemiology & Genetics, Rockville, MD
| | - Jonathan N. Hofmann
- 1National Cancer Inst. Div. of Cancer Epidemiology & Genetics, Rockville, MD
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26
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Thompson DA, Kolpin DW, Hladik ML, Lehmler HJ, Meppelink SM, Poch MC, Vargo JD, Soupene VA, Irfan NM, Robinson M, Kannan K, Beane Freeman LE, Hofmann JN, Cwiertny DM, Field RW. Prevalence of neonicotinoid insecticides in paired private-well tap water and human urine samples in a region of intense agriculture overlying vulnerable aquifers in eastern Iowa. Chemosphere 2023; 319:137904. [PMID: 36709846 PMCID: PMC9957962 DOI: 10.1016/j.chemosphere.2023.137904] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/19/2022] [Accepted: 01/16/2023] [Indexed: 06/18/2023]
Abstract
A pilot study among farming households in eastern Iowa was conducted to assess human exposure to neonicotinoids (NEOs). The study was in a region with intense crop and livestock production and where groundwater is vulnerable to surface-applied contaminants. In addition to paired outdoor (hydrant) water and indoor (tap) water samples from private wells, urine samples were collected from 47 adult male pesticide applicators along with the completions of dietary and occupational surveys. Estimated Daily Intake (EDI) were then calculated to examine exposures for different aged family members. NEOs were detected in 53% of outdoor and 55% of indoor samples, with two or more NEOs in 13% of samples. Clothianidin was the most frequently detected NEO in water samples. Human exposure was ubiquitous in urine samples. A median of 10 different NEOs and/or metabolites were detected in urine, with clothianidin, nitenpyram, thiamethoxam, 6-chloronicotinic acid, and thiacloprid amide detected in every urine samples analyzed. Dinotefuran, imidaclothiz, acetamiprid-N-desmethyl, and N-desmethyl thiamethoxam were found in ≥70% of urine samples. Observed water intake for study participants and EDIs were below the chronic reference doses (CRfD) and acceptable daily intake (ADI) standards for all NEOs indicating minimal risk from ingestion of tap water. The study results indicate that while the consumption of private well tap water provides a human exposure pathway, the companion urine results provide evidence that diet and/or other exposure pathways (e.g., occupational, house dust) may contribute to exposure more than water contamination. Further biomonitoring research is needed to better understand the scale of human exposure from different sources.
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Affiliation(s)
- Darrin A Thompson
- University of Iowa, College of Public Health, Iowa, IA, USA; University of Iowa, Center for Health Effects of Environmental Contamination, Iowa, IA, USA.
| | - Dana W Kolpin
- U.S. Geological Survey, Central Midwest Water Science Center, Iowa, IA, USA
| | - Michelle L Hladik
- U.S. Geological Survey, California Water Science Center, Sacramento, CA, USA
| | | | | | - Matthew C Poch
- University of Iowa, College of Public Health, Iowa, IA, USA
| | - John D Vargo
- State Hygienic Laboratory at the University of Iowa, Iowa, IA, USA
| | | | - Nafis Md Irfan
- Interdisciplinary Graduate Program in Human Toxicology, University of Iowa, Iowa, IA, USA; University of Iowa, Department of Internal Medicine, Iowa, IA, USA; University of Dhaka, Institute of Nutrition and Food Science, Dhaka, Bangladesh
| | - Morgan Robinson
- Department of Pediatrics, New York University School of Medicine, New York, NY, USA
| | - Kurunthachalam Kannan
- Department of Pediatrics, New York University School of Medicine, New York, NY, USA; Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - David M Cwiertny
- University of Iowa, College of Public Health, Iowa, IA, USA; Department of Civil and Environmental Engineering, University of Iowa, Iowa, IA, USA; Public Policy Center, University of Iowa, Iowa City, IA, USA
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27
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Luo Q, Hofmann JN, Pfeiffer RM, Kitahara CM, Song M, Shiels MS. Impact of Overweight and Obesity on U.S. Renal Cell Carcinoma Incidence Trends (1995-2018). Int J Cancer 2023; 153:64-72. [PMID: 36929885 DOI: 10.1002/ijc.34516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 03/18/2023]
Abstract
In the U.S., renal cell carcinoma (RCC) incidence and the prevalence of obesity, an established risk factor for RCC, have been increasing for several decades. RCC is more common among older individuals. We sought to quantify the contribution of excess adiposity to the rising incidence of RCC among individuals 60 years or older. NIH-AARP Diet and Health Study data (n=453,859 participants, enrolled in 1995-1996, age at enrollment 50-71 years) were used to estimate multivariable-adjusted hazard ratios (HRs) for RCC across body mass index categories and HRs associated with smoking. Population attributable fractions (PAFs) were calculated using estimated HRs and annual overweight/obesity prevalence from the National Health Interview Survey (1985-2008). PAF estimates were combined with RCC incidence from Surveillance, Epidemiology, and End Results-13 to calculate annual percent changes in RCC incidence attributable (and unrelated) to overweight/obesity. We found that between 1995 and 2018, among individuals aged 60 years and older, PAF for overweight/obesity increased from 18% to 29% for all RCCs. In comparison, the PAF for smoking declined from 12% to 9%. RCC incidence increased 1.8% per year (95% confidence interval (CI) 1.5-2.1%) overall, while RCC incidence attributable to overweight/obesity increased 3.8% per year (95%CI 3.5-4.2%) and RCC incidence unrelated to overweight/obesity increased 1.2% per year (95%CI 0.9-1.4). In conclusion, overweight/obesity appears to have contributed importantly to the rising incidence of RCC in the U.S. since the mid-1990s. Public health interventions focused on reducing overweight and obesity could help substantially in curbing this trend. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Qianlai Luo
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Ruth M Pfeiffer
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Cari M Kitahara
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Minkyo Song
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Meredith S Shiels
- Infections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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28
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Chang VC, Rhee J, Berndt SI, Moore SC, Freedman ND, Jones RR, Silverman DT, Gierach GL, Hofmann JN, Purdue MP. Serum perfluorooctane sulfonate and perfluorooctanoate and risk of postmenopausal breast cancer according to hormone receptor status: An analysis in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Int J Cancer 2023. [PMID: 36843273 PMCID: PMC10405832 DOI: 10.1002/ijc.34487] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 01/27/2023] [Accepted: 02/16/2023] [Indexed: 02/28/2023]
Abstract
Per- and polyfluoroalkyl substances (PFAS) are highly persistent endocrine-disrupting chemicals that may contribute to breast cancer development; however, epidemiologic evidence is limited. We investigated associations between prediagnostic serum levels of perfluorooctane sulfonate (PFOS) and perfluorooctanoate (PFOA) and postmenopausal breast cancer risk, overall and by hormone receptor status, in a nested case-control study of 621 cases and 621 matched controls in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. PFOS and PFOA levels were determined based on serum metabolomic profiling performed using ultraperformance liquid chromatography-tandem mass spectrometry. We used multivariable conditional logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between each PFAS and breast cancer risk, overall, by estrogen receptor (ER) or progesterone receptor (PR) status, and by joint ER/PR status. We found little evidence of association between PFOS or PFOA and breast cancer risk overall. However, in subtype-specific analyses, we observed statistically significant increased risks of ER+, PR+, and ER+/PR+ tumors for the third vs lowest quartile of serum PFOS (ORs [95% CIs] = 1.59 [1.01-2.50], 2.34 [1.29-4.23], and 2.19 [1.21-3.98], respectively) and elevated but nonstatistically significant ORs for the fourth quartile. Conversely, for PFOA, modest positive associations with ER-, PR-, ER+/PR-, and ER-/PR- tumors were generally seen in the upper quartiles. Our findings contribute evidence supporting positive associations between serum PFOS and hormone receptor-positive tumors, and possibly between PFOA and receptor-negative tumors. Future prospective studies incorporating tumor hormone receptor status are needed to better understand the role of PFAS in breast cancer etiology.
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Affiliation(s)
- Vicky C Chang
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jongeun Rhee
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Sonja I Berndt
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Steven C Moore
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Rena R Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Gretchen L Gierach
- Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Mark P Purdue
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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29
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Dicanio M, Giaccherini M, Clay‐Gilmour A, Macauda A, Sainz J, Machiela MJ, Rybicka‐Ramos M, Norman AD, Tyczyńska A, Chanock SJ, Barington T, Kumar SK, Bhatti P, Cozen W, Brown EE, Suska A, Haastrup EK, Orlowski RZ, Dudziński M, Garcia‐Sanz R, Kruszewski M, Martinez‐Lopez J, Beider K, Iskierka‐Jazdzewska E, Pelosini M, Berndt SI, Raźny M, Jamroziak K, Rajkumar SV, Jurczyszyn A, Vangsted AJ, Collado PG, Vogel U, Hofmann JN, Petrini M, Butrym A, Slager SL, Ziv E, Subocz E, Giles GG, Andersen NF, Mazur G, Watek M, Lesueur F, Hildebrandt MAT, Zawirska D, Ebbesen LH, Marques H, Gemignani F, Dumontet C, Várkonyi J, Buda G, Nagler A, Druzd‐Sitek A, Wu X, Kadar K, Camp NJ, Grzasko N, Waller RG, Vachon C, Canzian F, Campa D. A pleiotropic variant in DNAJB4 is associated with multiple myeloma risk. Int J Cancer 2023; 152:239-248. [PMID: 36082445 PMCID: PMC9828677 DOI: 10.1002/ijc.34278] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 06/01/2022] [Accepted: 06/07/2022] [Indexed: 01/12/2023]
Abstract
Pleiotropy, which consists of a single gene or allelic variant affecting multiple unrelated traits, is common across cancers, with evidence for genome-wide significant loci shared across cancer and noncancer traits. This feature is particularly relevant in multiple myeloma (MM) because several susceptibility loci that have been identified to date are pleiotropic. Therefore, the aim of this study was to identify novel pleiotropic variants involved in MM risk using 28 684 independent single nucleotide polymorphisms (SNPs) from GWAS Catalog that reached a significant association (P < 5 × 10-8 ) with their respective trait. The selected SNPs were analyzed in 2434 MM cases and 3446 controls from the International Lymphoma Epidemiology Consortium (InterLymph). The 10 SNPs showing the strongest associations with MM risk in InterLymph were selected for replication in an independent set of 1955 MM cases and 1549 controls from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and 418 MM cases and 147 282 controls from the FinnGen project. The combined analysis of the three studies identified an association between DNAJB4-rs34517439-A and an increased risk of developing MM (OR = 1.22, 95%CI 1.13-1.32, P = 4.81 × 10-7 ). rs34517439-A is associated with a modified expression of the FUBP1 gene, which encodes a multifunctional DNA and RNA-binding protein that it was observed to influence the regulation of various genes involved in cell cycle regulation, among which various oncogenes and oncosuppressors. In conclusion, with a pleiotropic scan approach we identified DNAJB4-rs34517439 as a potentially novel MM risk locus.
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Affiliation(s)
| | | | - Alyssa Clay‐Gilmour
- Department of Epidemiology and Biostatistics, Arnold School of Public HealthUniversity of South CarolinaGreenvilleSouth CarolinaUSA
| | - Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Juan Sainz
- Genomic Oncology Area, GENYO. Center for Genomics and Oncological Research: PfizerUniversity of Granada/Andalusian Regional GovernmentGranadaSpain,Department of HematologyVirgen de las Nieves University HospitalGranadaSpain,Department of MedicineUniversity of GranadaGranadaSpain
| | - Mitchell J. Machiela
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Aaron D. Norman
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA,Division of Biomedical Statistics and Informatics, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Agata Tyczyńska
- Department of Hematology and TransplantologyMedical University of GdańskGdańskPoland
| | - Stephen J. Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Shaji K. Kumar
- Division of Hematology, Department of Internal MedicineMayo ClinicRochesterOntarioUSA
| | - Parveen Bhatti
- Cancer Control ResearchBC CancerVancouverCanada,Program in Epidemiology, Public Health Sciences DivisionFred Hutchinson Cancer Research CenterSeattleWashingtonUSA
| | - Wendy Cozen
- Division of Hematology/Oncology, Department of Medicine, School of Medicine, Susan and Henry Samueli College of Health SciencesChao Family Comprehensive Cancer Center, University of CaliforniaIrvineCaliforniaUSA,Department of Pathology, School of Medicine, Susan and Henry Samueli College of Health SciencesChao Family Comprehensive Cancer Center, University of CaliforniaIrvineCaliforniaUSA
| | - Elizabeth E. Brown
- Department of Pathology, School of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Anna Suska
- Plasma Cell Dyscrasia Center Department of Hematology Jagiellonian University Faculty of MedicineKrakówPoland
| | | | - Robert Z. Orlowski
- Department of Lymphoma ‐ Myeloma, Division of Cancer MedicineUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Marek Dudziński
- Department of Hematology, Institute of Medical Sciences, College of Medical SciencesUniversity of RzeszowRzeszowPoland
| | - Ramon Garcia‐Sanz
- Medina A. Department of Hematology, University Hospital of Salamanca (HUS/IBSAL)CIBERONC and Cancer Research Institute of Salamanca‐IBMCC (USAL‐CSIC)SalamancaSpain
| | - Marcin Kruszewski
- Department of HematologyUniversity Hospital No. 2 in BydgoszczBydgoszczPoland
| | | | - Katia Beider
- Hematology Division Chaim Sheba Medical CenterTel HashomerIsrael
| | | | - Matteo Pelosini
- U.O. Dipartimento di EmatologiaAzienda USL Toscana Nord OvestLivornoItaly,Present address:
Ospedale Santa ChiaraPisaItaly
| | - Sonja I. Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | | | - Krzysztof Jamroziak
- Department of HematologyInstitute of Hematology and Transfusion MedicineWarsawPoland
| | - S. Vincent Rajkumar
- Division of Hematology, Department of Internal MedicineMayo ClinicRochesterOntarioUSA
| | - Artur Jurczyszyn
- Plasma Cell Dyscrasia Center Department of Hematology Jagiellonian University Faculty of MedicineKrakówPoland
| | | | | | - Ulla Vogel
- National Research Center for the Working EnvironmentCopenhagenDenmark
| | - Jonathan N. Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer InstituteNational Institues of HealthBethesdaMarylandUSA
| | - Mario Petrini
- Hematology Unit, Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Aleksandra Butrym
- Department of Cancer Prevention and TherapyWroclaw Medical UniversityWroclawPoland
| | - Susan L. Slager
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Elad Ziv
- Department of MedicineUniversity of California San Francisco Helen Diller Family Comprehensive Cancer CenterSan FranciscoCaliforniaUSA
| | - Edyta Subocz
- Department of HematologyMilitary Institute of MedicineWarsawPoland
| | - Graham G. Giles
- Cancer Epidemiology DivisionCancer Council VictoriaMelbourneVictoriaAustralia,Center for Epidemiology and Biostatistics, School of Population and Global HealthThe University of MelbourneMelbourneVictoriaAustralia,Precision Medicine, School of Clinical Sciences at Monash HealthMonash UniversityClaytonVictoriaAustralia
| | | | - Grzegorz Mazur
- Department of Internal Diseases, Occupational Medicine, Hypertension and Clinical OncologyWroclaw Medical UniversityWroclawPoland
| | - Marzena Watek
- Department of HematologyInstitute of Hematology and Transfusion MedicineWarsawPoland,Department of HematologyHolycross Cancer CenterKielcePoland
| | - Fabienne Lesueur
- Inserm, U900, Institut Curie, PSL Research University, Mines ParisTechParisFrance
| | - Michelle A. T. Hildebrandt
- Department of Lymphoma ‐ Myeloma, Division of Cancer MedicineUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Daria Zawirska
- Department of HematologyUniversity Hospital in CracowCracowPoland
| | | | - Herlander Marques
- Life and Health Sciences Research Institute (ICVS), School of Health SciencesUniversity of Minho, Braga, Portugal and ICVS/3B's – PT Government Associate LaboratoryBraga/GuimarãesPortugal
| | | | | | - Judit Várkonyi
- Department of Hematology and Internal MedicineSemmelweis UniversityBudapestHungary
| | - Gabriele Buda
- Hematology Unit, Department of Clinical and Experimental MedicineUniversity of PisaPisaItaly
| | - Arnon Nagler
- Hematology Division Chaim Sheba Medical CenterTel HashomerIsrael
| | - Agnieszka Druzd‐Sitek
- Department of Lymphoproliferative DiseasesMaria Skłodowska‐Curie National Research Institute of OncologyWarsawPoland
| | - Xifeng Wu
- Department of Epidemiology, Division of Cancer Prevention and Population SciencesUniversity of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Katalin Kadar
- Department of Hematology and Internal MedicineSemmelweis UniversityBudapestHungary
| | - Nicola J. Camp
- Division of Hematology and Huntsman Cancer InstituteUniversity of UtahSalt Lake CityUtahUSA
| | - Norbert Grzasko
- Department of Experimental HematooncologyMedical University of LublinLublinPoland
| | - Rosalie G. Waller
- Division of Biomedical Statistics and Informatics, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Celine Vachon
- Division of Epidemiology, Department of Health Sciences ResearchMayo ClinicRochesterOntarioUSA
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ)HeidelbergGermany
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30
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Chang VC, Andreotti G, Ospina M, Parks CG, Liu D, Shearer JJ, Rothman N, Silverman DT, Sandler DP, Calafat AM, Beane Freeman LE, Hofmann JN. Glyphosate Exposure and Urinary Oxidative Stress Biomarkers in the Agricultural Health Study. J Natl Cancer Inst 2023; 115:394-404. [PMID: 36629488 PMCID: PMC10086635 DOI: 10.1093/jnci/djac242] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/03/2022] [Accepted: 12/23/2022] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND Glyphosate is the most widely applied herbicide worldwide, and its use has been associated with increased risks of certain hematopoietic cancers in epidemiologic studies. Animal and in vitro experiments suggest that glyphosate may induce oxidative stress, a key characteristic of carcinogens; however, evidence in human populations remains scarce. We investigated associations between glyphosate exposure and urinary oxidative stress biomarkers in the Biomarkers of Exposure and Effect in Agriculture study, a molecular epidemiologic subcohort in the Agricultural Health Study. METHODS This analysis included 268 male farmers selected based on self-reported recent and lifetime occupational glyphosate use and 100 age- and geography-matched male non-farmers. Concentrations of glyphosate and oxidative stress biomarkers (8-hydroxy-2'-deoxyguanosine [8-OHdG], 8-iso-prostaglandin-F2α [8-isoprostane], and malondialdehyde [MDA]) were quantified in first-morning-void urine. We performed multivariable linear regression to evaluate associations of urinary glyphosate and self-reported glyphosate use with each oxidative stress biomarker. RESULTS Urinary glyphosate concentrations were positively associated with levels of 8-OHdG (highest vs. lowest glyphosate quartile; geometric mean ratio [GMR]=1.15, 95% confidence interval [CI]=1.03-1.28, Ptrend=.02) and MDA (GMR = 1.20, 95% CI = 1.03-1.40, Ptrend=.06) overall. Among farmers reporting recent glyphosate use (last 7 days), use in the previous day was also associated with significantly increased 8-OHdG and MDA levels. Compared with non-farmers, we observed elevated 8-isoprostane levels among farmers with recent, high past 12-month, or high lifetime glyphosate use. CONCLUSIONS Our findings contribute to the weight of evidence supporting an association between glyphosate exposure and oxidative stress in humans and may inform evaluations of the carcinogenic potential of this herbicide.
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Affiliation(s)
- Vicky C Chang
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Maria Ospina
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Danping Liu
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Joseph J Shearer
- Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nathaniel Rothman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Debra T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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31
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Berndt SI, Vijai J, Benavente Y, Camp NJ, Nieters A, Wang Z, Smedby KE, Kleinstern G, Hjalgrim H, Besson C, Skibola CF, Morton LM, Brooks-Wilson AR, Teras LR, Breeze C, Arias J, Adami HO, Albanes D, Anderson KC, Ansell SM, Bassig B, Becker N, Bhatti P, Birmann BM, Boffetta P, Bracci PM, Brennan P, Brown EE, Burdett L, Cannon-Albright LA, Chang ET, Chiu BCH, Chung CC, Clavel J, Cocco P, Colditz G, Conde L, Conti DV, Cox DG, Curtin K, Casabonne D, De Vivo I, Diepstra A, Diver WR, Dogan A, Edlund CK, Foretova L, Fraumeni JF, Gabbas A, Ghesquières H, Giles GG, Glaser S, Glenn M, Glimelius B, Gu J, Habermann TM, Haiman CA, Haioun C, Hofmann JN, Holford TR, Holly EA, Hutchinson A, Izhar A, Jackson RD, Jarrett RF, Kaaks R, Kane E, Kolonel LN, Kong Y, Kraft P, Kricker A, Lake A, Lan Q, Lawrence C, Li D, Liebow M, Link BK, Magnani C, Maynadie M, McKay J, Melbye M, Miligi L, Milne RL, Molina TJ, Monnereau A, Montalvan R, North KE, Novak AJ, Onel K, Purdue MP, Rand KA, Riboli E, Riby J, Roman E, Salles G, Sborov DW, Severson RK, Shanafelt TD, Smith MT, Smith A, Song KW, Song L, Southey MC, Spinelli JJ, Staines A, Stephens D, Sutherland HJ, Tkachuk K, Thompson CA, Tilly H, Tinker LF, Travis RC, Turner J, Vachon CM, Vajdic CM, Van Den Berg A, Van Den Berg DJ, Vermeulen RCH, Vineis P, Wang SS, Weiderpass E, Weiner GJ, Weinstein S, Doo NW, Ye Y, Yeager M, Yu K, Zeleniuch-Jacquotte A, Zhang Y, Zheng T, Ziv E, Sampson J, Chatterjee N, Offit K, Cozen W, Wu X, Cerhan JR, Chanock SJ, Slager SL, Rothman N. Distinct germline genetic susceptibility profiles identified for common non-Hodgkin lymphoma subtypes. Leukemia 2022; 36:2835-2844. [PMID: 36273105 PMCID: PMC10337695 DOI: 10.1038/s41375-022-01711-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/22/2022] [Accepted: 09/15/2022] [Indexed: 11/08/2022]
Abstract
Lymphoma risk is elevated for relatives with common non-Hodgkin lymphoma (NHL) subtypes, suggesting shared genetic susceptibility across subtypes. To evaluate the extent of mutual heritability among NHL subtypes and discover novel loci shared among subtypes, we analyzed data from eight genome-wide association studies within the InterLymph Consortium, including 10,629 cases and 9505 controls. We utilized Association analysis based on SubSETs (ASSET) to discover loci for subsets of NHL subtypes and evaluated shared heritability across the genome using Genome-wide Complex Trait Analysis (GCTA) and polygenic risk scores. We discovered 17 genome-wide significant loci (P < 5 × 10-8) for subsets of NHL subtypes, including a novel locus at 10q23.33 (HHEX) (P = 3.27 × 10-9). Most subset associations were driven primarily by only one subtype. Genome-wide genetic correlations between pairs of subtypes varied broadly from 0.20 to 0.86, suggesting substantial heterogeneity in the extent of shared heritability among subtypes. Polygenic risk score analyses of established loci for different lymphoid malignancies identified strong associations with some NHL subtypes (P < 5 × 10-8), but weak or null associations with others. Although our analyses suggest partially shared heritability and biological pathways, they reveal substantial heterogeneity among NHL subtypes with each having its own distinct germline genetic architecture.
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Affiliation(s)
- Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA.
| | - Joseph Vijai
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yolanda Benavente
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Nicola J Camp
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Alexandra Nieters
- Institute for Immunodeficiency, University Medical Center Freiburg, Freiburg, Germany
| | - Zhaoming Wang
- Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, USA
- Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Karin E Smedby
- Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- Hematology Center, Karolinska University Hospital, Stockholm, Sweden
| | | | - Henrik Hjalgrim
- Department of Epidemiology Research, Division of Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Haematology, Rigshospitalet, Copenhagen, Denmark
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Caroline Besson
- Centre Hospitalier de Versailles, Le Chesnay, France
- Université Paris-Saclay, UVSQ, Inserm, Équipe "Exposome et Hérédité", CESP, Villejuif, France
| | - Christine F Skibola
- Department of Hematology and Medical Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Lindsay M Morton
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Angela R Brooks-Wilson
- Genome Sciences Centre, BC Cancer Agency, Vancouver, BC, Canada
- Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, BC, Canada
| | - Lauren R Teras
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Charles Breeze
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Joshua Arias
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Hans-Olov Adami
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Institute of Health and Society, Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kenneth C Anderson
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | - Stephen M Ansell
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Bryan Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nikolaus Becker
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Parveen Bhatti
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Brenda M Birmann
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Paolo Boffetta
- Stony Brook Cancer Center, Stony Brook University, Stony Brook, New York, 11794, NY, USA
- Department of Medical and Surgical Sciences, University of Bologna, Bologna, 41026, Italy
| | - Paige M Bracci
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Paul Brennan
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Elizabeth E Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurie Burdett
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Lisa A Cannon-Albright
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
- George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT, USA
| | - Ellen T Chang
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
- Center for Health Sciences, Exponent, Inc., Menlo Park, CA, USA
| | - Brian C H Chiu
- Department of Public Health Sciences University of Chicago, Chicago, IL, USA
| | - Charles C Chung
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Jacqueline Clavel
- CRESS, UMR1153, INSERM, Villejuif, France
- Université de Paris-Cité, Villejuif, France
| | - Pierluigi Cocco
- Centre for Occupational and Environmental Health, Division of Population Science, Health Services Research & Primary Care, University of Manchester, Manchester, United Kingdom
| | - Graham Colditz
- Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| | - Lucia Conde
- Bill Lyons Informatics Centre, UCL Cancer Institute, University College London, London, United Kingdom
| | - David V Conti
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David G Cox
- INSERM U1052, Cancer Research Center of Lyon, Centre Léon Bérard, Lyon, France
| | - Karen Curtin
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Delphine Casabonne
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - W Ryan Diver
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Ahmet Dogan
- Departments of Laboratory Medicine and Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Christopher K Edlund
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lenka Foretova
- Department of Cancer Epidemiology and Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Attilio Gabbas
- Department of Public Health, Clinical and Molecular Medicine, University of Cagliari, Monserrato, Cagliari, Italy
| | - Hervé Ghesquières
- Department of Hematology, Hospices Civils de Lyon, Lyon Sud Hospital, Pierre Benite, France
- CIRI, Centre International de Recherche en Infectiologie, Team Lymphoma Immuno-Biology, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Sally Glaser
- Cancer Prevention Institute of California, Fremont, CA, USA
- Stanford Cancer Institute, Stanford, CA, USA
| | - Martha Glenn
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Bengt Glimelius
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jian Gu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | | | - Christopher A Haiman
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Corinne Haioun
- Lymphoid Malignancies Unit, Henri Mondor Hospital and University Paris Est, Créteil, France
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA
| | - Elizabeth A Holly
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA
| | - Amy Hutchinson
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Aalin Izhar
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes and Metabolism, The Ohio State University, Columbus, OH, USA
| | - Ruth F Jarrett
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Rudolph Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Baden-Württemberg, Germany
| | - Eleanor Kane
- Department of Health Sciences, University of York, York, United Kingdom
| | - Laurence N Kolonel
- Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, HI, USA
| | - Yinfei Kong
- Information Systems and Decision Sciences, California State University, Fullerton, Fullerton, CA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Anne Kricker
- Sydney School of Public Health, The University of Sydney, Sydney, NSW, Australia
| | - Annette Lake
- MRC-University of Glasgow Centre for Virus Research, Glasgow, United Kingdom
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | | | - Dalin Li
- F. Widjaja Family Foundation Inflammatory Bowel and Immunobiology Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Mark Liebow
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Brian K Link
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Corrado Magnani
- CPO-Piemonte and Unit of Medical Statistics and Epidemiology, Department Translational Medicine, University of Piemonte Orientale, Novara, Italy
| | - Marc Maynadie
- INSERM U1231, EA 4184, Registre des Hémopathies Malignes de Côte d'Or, University of Burgundy and Dijon University Hospital, Dijon, France
| | - James McKay
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Mads Melbye
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Jebsen Center for Genetic epidemiology, NTNU, Trondheim, Norway
- Danish Cancer Society Research Center, Copenhagen, Denmark
- Department of Genetics, Stanford University Medical School, Stanford, CA, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Unit, Cancer Prevention and Research Institute (ISPO), Florence, Italy
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
| | - Thierry J Molina
- Department of Pathology, APHP, Necker and Robert Debré, Université Paris Cité, Institut Imagine, INSERM U1163, Paris, France
| | - Alain Monnereau
- CRESS, UMR1153, INSERM, Villejuif, France
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux, Cedex, France
| | | | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Anne J Novak
- Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA
| | - Kenan Onel
- Donald and Barbara Zucker School of Medicine, Hofstra/Northwell, Hempstead, New York, NY, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Kristin A Rand
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elio Riboli
- School of Public Health, Imperial College London, London, United Kingdom
| | - Jacques Riby
- Department of Epidemiology, School of Public Health and Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Eve Roman
- Department of Health Sciences, University of York, York, United Kingdom
| | - Gilles Salles
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Douglas W Sborov
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Richard K Severson
- Department of Family Medicine and Public Health Sciences, Wayne State University, Detroit, MI, USA
| | - Tait D Shanafelt
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Martyn T Smith
- Division of Environmental Health Sciences, University of California Berkeley School of Public Health, Berkeley, CA, USA
| | - Alexandra Smith
- Department of Health Sciences, University of York, York, United Kingdom
| | - Kevin W Song
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lei Song
- Center for Cancer Research, National Cancer Institute, Frederick, MA, USA
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VC, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VC, Australia
- Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, VC, 3010, Australia
| | - John J Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, BC, Canada
- School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
| | - Anthony Staines
- School of Nursing, Psychotherapy and Community Health, Dublin City University, Dublin, Ireland
| | - Deborah Stephens
- Department of Internal Medicine and Huntsman Cancer Institute, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Heather J Sutherland
- Leukemia/Bone Marrow Transplantation Program, BC Cancer Agency, Vancouver, BC, Canada
- Department of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Kaitlyn Tkachuk
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Hervé Tilly
- Centre Henri Becquerel, Université de Rouen, Rouen, France
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ruth C Travis
- Cancer Epidemiology Unit, University of Oxford, Oxford, United Kingdom
| | - Jenny Turner
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
- Department of Histopathology, Douglass Hanly Moir Pathology, Sydney, NSW, Australia
| | - Celine M Vachon
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Claire M Vajdic
- The Kirby Institute, University of New South Wales, Sydney, NSW, Australia
| | - Anke Van Den Berg
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - David J Van Den Berg
- Department of Population and Public Health Sciences, USC Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Roel C H Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
- Human Genetics Foundation, Turin, Italy
| | - Sophia S Wang
- Division of Health Analytics, City of Hope Beckman Research Institute, Duarte, CA, USA
| | | | - George J Weiner
- Department of Internal Medicine, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nicole Wong Doo
- Concord Clinical School, University of Sydney, Concord, NSW, Australia
| | - Yuanqing Ye
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - Meredith Yeager
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Gaithersburg, MA, USA
| | - Kai Yu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Anne Zeleniuch-Jacquotte
- Department of Population Health, New York University School of Medicine, New York, NY, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
- Perlmutter Cancer Center, NYU Langone Medical Center, New York, NY, USA
| | - Yawei Zhang
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, CT, USA
| | - Tongzhang Zheng
- Department of Epidemiology, Brown University, Providence, RI, USA
| | - Elad Ziv
- Division of General Internal Medicine, Department of Medicine, Institute of Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Joshua Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Nilanjan Chatterjee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
- Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MA, USA
- Department of Oncology, School of Medicine, Johns Hopkins University, Baltimore, MA, USA
| | - Kenneth Offit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Wendy Cozen
- Chao Family Comprehensive Cancer Center, University of California, Irvine, Irvine, CA, USA
| | - Xifeng Wu
- Department of Epidemiology, MD Anderson Cancer Center, Houston, TX, USA
| | - James R Cerhan
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
| | - Susan L Slager
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Md, USA
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Friesen MC, Hung F, Xie S, Viet SM, Deziel NC, Locke SJ, Josse PR, Sauvé JF, Andreotti G, Thorne PS, Beane-Freeman LE, Hofmann JN. A Task-Specific Algorithm to Estimate Occupational (1→3)-β-D-glucan Exposure for Farmers in the Biomarkers of Exposure and Effect in Agriculture Study. Ann Work Expo Health 2022; 66:974-984. [PMID: 35731645 PMCID: PMC9551320 DOI: 10.1093/annweh/wxac041] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 05/05/2022] [Accepted: 05/27/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES Farmers may be exposed to glucans (a cell component of molds) through a variety of tasks. The magnitude of exposure depends on each farmer's activities and their duration. We developed a task-specific algorithm to estimate glucan exposure that combines measurements of (1→3)-β-D-glucan with questionnaire responses from farmers in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study. METHODS To develop the algorithm, we first derived task-based geometric means (GMs) of glucan exposure for farming tasks using inhalable personal air sampling data from a prior air monitoring study in a subset of 32 BEEA farmers. Next, these task-specific GMs were multiplied by subject-reported activity frequencies for three time windows (the past 30 days, past 7 days, and past 1 day) to obtain subject-, task-, and time window-specific glucan scores. These were summed together to obtain a total glucan score for each subject and time window. We examined the within- and between-task correlation in glucan scores for different time frames. Additionally, we assessed the algorithm for the 'past 1 day' time window using full-shift concentrations from the 32 farmers who participated in air monitoring the day prior to an interview using multilevel statistical models to compare the measured glucan concentration with algorithm glucan scores. RESULTS We focused on the five highest exposed tasks: poultry confinement (300 ng/m3), swine confinement (300 ng/m3), clean grain bins (200 ng/m3), grind feed (100 ng/m3), and stored seed or grain (50 ng/m3); the remaining tasks were <50 ng/m3 and had similar concentrations to each other. Overall, 67% of the participants reported at least one of these tasks. The most prevalent task was stored seed or grain (64%). The highest median glucan scores were observed for poultry confinement and swine confinement; these tasks were reported by 2% and 8% of the participants, respectively. The correlation between scores for the same task but different time windows was high for swine confinement and poultry confinement, but low for clean grain bins. Task-specific scores had low correlation with other tasks. Prior day glucan concentration was associated with the total glucan 'past 1 day' score and with swine confinement and clean grain bin task scores. CONCLUSIONS This study provides insight into the variability and key sources of glucan exposure in a US farming population. It also provides a framework for better glucan exposure assessment in epidemiologic studies and is a crucial starting point for evaluating health risks associated with glucans in future epidemiologic evaluations of this population.
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Affiliation(s)
- Melissa C Friesen
- Author to whom correspondence should be addressed. Tel: +1-240-2476-7278; e-mail:
| | - Felicia Hung
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Shuai Xie
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Nicole C Deziel
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Sarah J Locke
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Pabitra R Josse
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jean-François Sauvé
- Pollutants Metrology Department, Institut National de Recherche et de Sécurité, Vandoeuvre-lès-Nancy, France
- Work Performed: Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Peter S Thorne
- Department of Occupational and Environmental Health, University of Iowa, Iowa City, IA, USA
| | - Laura E Beane-Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Steenland K, Hofmann JN, Silverman DT, Bartell SM. Risk assessment for PFOA and kidney cancer based on a pooled analysis of two studies. Environ Int 2022; 167:107425. [PMID: 35905598 PMCID: PMC9378494 DOI: 10.1016/j.envint.2022.107425] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 07/03/2022] [Accepted: 07/19/2022] [Indexed: 05/26/2023]
Abstract
INTRODUCTION Perfluorooctanoic acid (PFOA) has been associated with kidney cancer in human studies. METHODS We conducted a pooled analysis of two large studies of PFOA and renal cell carcinoma (RCC, the most common type of kidney cancer); one from the National Cancer Institute (NCI) (324 cases and controls), and a second from the C8 Science Panel (103 cases and 511 controls). Serum PFOA levels were estimated a median of 8 years before diagnosis. Analyses were conducted via conditional logistic regression. Lifetime risk of kidney cancer per unit serum PFOA concentration and per unit dose were calculated. RESULTS The 25th, 50th and 75th percentiles of serum PFOA levels were 4.8, 7.3, and 23.9 ng/ml for the pooled analysis. The preferred model for the pooled datawas a two-piece linear spline model (knot at 12.5 ng/ml serum PFOA); the log odds of RCC increased 0.1349 per 1 ng/ml increase in serum PFOA up to the knot (eg, an OR of 2.02 (1.45-2.80) from the median to the knot), and was flat thereafter. The estimated lifetime excess risk (cancer slope factor) with an exposure of 1 ng/ml was 0.0018, similar to the excess risk of 0.0026 recently reported by CalEPA based on different methods. Assuming a serum half-life of 2.3 years and a distribution volume of 170 ml/kg for PFOA, our results are equivalent to 0.0128 per ng/kg/d of PFOA intake. To limit excess lifetime kidney cancer risk to 1/1,000,000, our data suggest a limit of 0.0015 ng/L (0.0015 ppt) for PFOA in drinking water, similar to CalEPA's proposed Public Health Goal and the new US EPA Drinking Water Health Advisory. CONCLUSIONS Our results correspond reasonably well with cancer slope factors developed by other investigators using published summary data, and suggest drinking water limits similar to new recommendations by the US EPA.
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Affiliation(s)
- K Steenland
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Ga, USA.
| | - J N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - D T Silverman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - S M Bartell
- Department of Environmental and Occupational Health, University of California, Irvine, CA, USA; Department of Epidemiology and Biostatistics, University of California, Irvine, CA, USA
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Macauda A, Clay-Gilmour A, Hielscher T, Hildebrandt MAT, Kruszewski M, Orlowski RZ, Kumar SK, Ziv E, Orciuolo E, Brown EE, Försti A, Waller RG, Machiela MJ, Chanock SJ, Camp NJ, Rymko M, Raźny M, Cozen W, Várkonyi J, Piredda C, Pelosini M, Belachew AA, Subocz E, Hemminki K, Rybicka-Ramos M, Giles GG, Milne RL, Hofmann JN, Zaucha JM, Vangsted AJ, Goldschmidt H, Rajkumar SV, Tomczak W, Sainz J, Butrym A, Watek M, Iskierka-Jazdzewska E, Buda G, Robinson DP, Jurczyszyn A, Dudziński M, Martinez-Lopez J, Sinnwell JP, Slager SL, Jamroziak K, Reis RMV, Weinhold N, Bhatti P, Carvajal-Carmona LG, Zawirska D, Norman AD, Mazur G, Berndt SI, Campa D, Vachon CM, Canzian F. Does a Multiple Myeloma Polygenic Risk Score Predict Overall Survival of Myeloma Patients? Cancer Epidemiol Biomarkers Prev 2022; 31:1863-1866. [PMID: 35700034 DOI: 10.1158/1055-9965.epi-22-0043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/18/2022] [Accepted: 06/08/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) of multiple myeloma (MM) in populations of European ancestry (EA) identified and confirmed 24 susceptibility loci. For other cancers (e.g. colorectum and melanoma), risk loci have also been associated with patient survival. METHODS We explored the possible association of all the known risk variants and their polygenic risk score (PRS) with MM overall survival (OS) in multiple populations of EA (IMMEnSE consortium, InterLymph consortium, CoMMpass and the German GWAS) for a total of 3748 MM cases. Cox proportional hazards regression was used to assess the association between each risk SNP with OS under the allelic and codominant models of inheritance. All analyses were adjusted for age, sex, country of origin (for IMMEnSE) or principal components (for the others) and disease stage (ISS). SNP associations were meta-analyzed. RESULTS SNP associations were meta-analyzed. From the meta-analysis, two MM risk SNPs were associated with OS (p<0.05), specifically POT1-AS1-rs2170352 (HR=1.37, 95% C.I.=1.09-1.73, p=0.007) and TNFRSF13B-rs4273077 (HR=1.19, 95% C.I.=1.01-1.41, p=0.04). The association between the combined 24 SNP MM-PRS and OS, however, was not significant. CONCLUSIONS Overall, our results did not support an association between the majority of MM risk SNPs and OS. IMPACT This is the first study to investigate the association between MM PRS and OS in MM.
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Affiliation(s)
- Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Biology, University of Pisa, Pisa, Italy
| | - Alyssa Clay-Gilmour
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Greenville, South Carolina
| | - Thomas Hielscher
- Division of Biostatistics, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Michelle A T Hildebrandt
- Department of Lymphoma - Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marcin Kruszewski
- Department of Hematology University Hospital Bydgoszcz, Bydgoszcz, Poland
| | - Robert Z Orlowski
- Department of Lymphoma - Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Shaji K Kumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | - Elad Ziv
- Department of Medicine, University of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, California
| | - Enrico Orciuolo
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Elizabeth E Brown
- Department of Pathology, School of Medicine, University of Alabama, Birmingham, Alabama
| | - Asta Försti
- Hopp Children's Cancer Center (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Rosalie G Waller
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | | | - Stephen J Chanock
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Nicola J Camp
- Division of Hematology and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah
| | - Marcin Rymko
- Department of Haematology and Bone Marrow Transplantation, SSM im. M. Kopernika, Torun, Poland
| | | | - Wendy Cozen
- Division of Hematology/Oncology, Department of Medicine, School of Medicine, Department of Pathology, School of Medicine, Susan and Henry Samueli College of Health Sciences, Chao Family Comprehensive Cancer Center, University of California at Irvine, California
| | - Judit Várkonyi
- Department of Hematology and Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Chiara Piredda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Matteo Pelosini
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Alem A Belachew
- Department of Lymphoma - Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Edyta Subocz
- Department of Hematology, Military Institute of Medicine, Warsaw, Poland
| | - Kari Hemminki
- Biomedical Center, Faculty of Medicine, Charles University in Pilsen, Pilsen, Czech Republic
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Jan Maciej Zaucha
- Department of Hematology and Transplantology, Medical Univeristy of Gdańsk, Gdańsk, Poland
| | - Annette Juul Vangsted
- Department of Haematology, Rigshospitalet, Copenhagen University, Copenhagen, Denmark
| | - Hartmut Goldschmidt
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
| | - S Vincent Rajkumar
- Division of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, Minnesota
| | - Waldemar Tomczak
- Department of Hematooncology and Bone Marrow Transplantation, Medical University of Lublin, Poland
| | - Juan Sainz
- Genomic Oncology Area, GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada/Andalusian Regional Government, Granada, Spain
- Hematology department, Virgen de las Nieves University Hospital, Granada, Spain
| | - Aleksandra Butrym
- Department of Internal and Occupational Diseases, Medical University Wroclaw, Wroclaw, Poland
| | - Marzena Watek
- Hematology Clinic, Holycross Cancer Center, Kielce, Poland
| | | | - Gabriele Buda
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Dennis P Robinson
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Artur Jurczyszyn
- Plasma Cell Dyscrasias Center, Department of Hematology, Faculty of Medicine, Jagiellonian University, Kraków, Poland
| | - Marek Dudziński
- Department of Hematology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszów, Rzeszów, Poland
| | | | - Jason P Sinnwell
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Susan L Slager
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Krzysztof Jamroziak
- Department of Hematology, Transplantation and Internal Disease, Medical University of Warsaw, Warsaw, Poland
| | - Rui Manuel Vieira Reis
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal and ICVS/3B's - PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Molecular Oncology Research Center, Barretos Cancer Hospital, Barretos, Brazil
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, Heidelberg, Germany
- CCU Molecular Hematology/Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Parveen Bhatti
- Division of Population Oncology Cancer Control Research, BC Cancer, Vancouver, Bristish Columbia, Canada
- Program in Epidemiology, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - Luis G Carvajal-Carmona
- Department of Biochemistry and Molecular Medicine, School of Medicine, University of California Davis, Sacramento, California
- Latinos United for Cancer Health Advancement Initiative, University of California Davis Comprehensive Cancer Center, Sacramento, California
- Community Engagement Program, Clinical and Translational Science Center, University of California Davis, Sacramento, California
| | - Daria Zawirska
- Department of Hematology, University Hospital of Cracow, Cracow, Poland
| | - Aaron D Norman
- Division of Computational Biology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Grzegorz Mazur
- Department of Internal and Occupational Diseases, Medical University Wroclaw, Wroclaw, Poland
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy
| | - Celine M Vachon
- Division of Epidemiology, Department of Quantitative Sciences, Mayo Clinic, Rochester, Minnesota
| | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Shrestha S, Parks CG, Umbach DM, Hofmann JN, Beane Freeman LE, Blair A, Sandler DP. Use of permethrin and other pyrethroids and mortality in the Agricultural Health Study. Occup Environ Med 2022; 79:664-672. [PMID: 35688626 PMCID: PMC10368161 DOI: 10.1136/oemed-2021-108156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/26/2022] [Indexed: 11/03/2022]
Abstract
OBJECTIVES Pyrethroid insecticides have been linked with multiple health outcomes. One study reported an association with increased all-cause and cardiovascular mortality. Given the widespread use of pyrethroids, these findings warrant confirmation. We explored associations of permethrin/pyrethroid use with overall and cause-specific mortality among 50 665 licensed pesticide applicators in the Agricultural Health Study. METHODS At enrolment (1993-1997), participants self-reported information on permethrin/pyrethroid use. Information on causes of death came from linkage with death registries through 2016. We used Cox proportional hazards models to estimate HRs and 95% CIs with adjustment for potential confounders. RESULTS Over an average 21 years of follow-up, 19.6% (9,955) of the cohort died. We found no clear evidence that ever-use of permethrin/pyrethroid was associated with elevated overall mortality or with mortality from most causes examined. There was suggestive evidence, based on a small number of deaths among those exposed, for elevated pyrethroid-associated mortality from some neurological, respiratory and genitourinary diseases in the overall sample and from lung cancer among never-smokers. CONCLUSION Although based on mortality, which is also affected by survival, rather than incidence, these findings are biologically plausible, and future investigations in other populations may be warranted.
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Affiliation(s)
- Srishti Shrestha
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - David M Umbach
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, Maryland, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, Maryland, USA
| | - Aaron Blair
- Formerly of Occupational and Environmental Epidemiology Branch, National Cancer Institute, Rockville, Maryland, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA
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Manley CK, Spaur M, Madrigal JM, Fisher JA, Jones RR, Parks CG, Hofmann JN, Sandler DP, Beane Freeman L, Ward MH. Drinking water sources and water quality in a prospective agricultural cohort. Environ Epidemiol 2022; 6:e210. [PMID: 35702502 PMCID: PMC9187174 DOI: 10.1097/ee9.0000000000000210] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 04/04/2022] [Indexed: 11/26/2022] Open
Abstract
We describe drinking water sources and water quality for a large agricultural cohort. We used questionnaire data from the Agricultural Health Study (N = 89,655), a cohort of licensed pesticide applicators and their spouses in Iowa (IA) and North Carolina (NC), to ascertain drinking water source at enrollment (1993-1997). For users of public water supplies (PWS), we linked participants' geocoded addresses to contaminant monitoring data [five haloacetic acids (HAA5), total trihalomethanes (TTHM), and nitrate-nitrogen (NO3-N)]. We estimated private well nitrate levels using random forest models accounting for well depth, soil characteristics, nitrogen inputs, and other predictors. We assigned drinking water source for 84% (N = 74,919) of participants. Among these, 69% of IA and 75% of NC participants used private wells; 27% in IA and 21% in NC used PWS. Median PWS nitrate concentrations (NO3-N) were higher in IA [0.9 mg/L, interquartile range (IQR): 0.4-3.1 mg/L] than NC (0.1 mg/L, IQR: 0.1-0.2 mg/L), while median HAA5 and TTHM concentrations were higher in NC (HAA5: 11.9 µg/L, IQR: 5.5-33.4 µg/L; TTHM: 37.7 µg/L, IQR: 10.7-54.7 µg/L) than IA (HAA5: 5.0 µg/L, IQR: 3.7-10.7 µg/L; TTHM: 13.0 µg/L, IQR: 4.2-32.4 µg/L). Private well nitrate concentrations in IA (1.5 mg/L, IQR: 0.8-4.9 mg/L) and NC (1.9 mg/L, IQR: 1.4-2.5 mg/L) were higher than PWS. More private wells in IA (12%) exceeded 10 mg/L NO3-N (regulatory limit for PWS) than NC (<1%). Due to the proximity of their drinking water sources to farms, agricultural communities may be exposed to elevated nitrate levels.
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Affiliation(s)
- Cherrel K. Manley
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Maya Spaur
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York City, New York
| | - Jessica M. Madrigal
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Jared A. Fisher
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Rena R. Jones
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina
| | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina
| | - Laura Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Mary H. Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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Parks CG, Costenbader KH, Long S, Hofmann JN, Beane FLE, Sandler DP. Pesticide use and risk of systemic autoimmune diseases in the Agricultural Health Study. Environ Res 2022; 209:112862. [PMID: 35123967 PMCID: PMC9205340 DOI: 10.1016/j.envres.2022.112862] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 12/23/2021] [Accepted: 01/27/2022] [Indexed: 06/03/2023]
Abstract
BACKGROUND Systemic lupus erythematosus (SLE) risk has been associated with pesticide use, but evidence on specific pesticides or other agricultural exposures is lacking. We investigated history of pesticide use and risk of SLE and a related disease, Sjögren's syndrome (SS), in the Agricultural Health Study. METHODS The study sample (N = 54,419, 52% male, enrolled in 1993-1997) included licensed pesticide applicators from North Carolina and Iowa and spouses who completed any of the follow-up questionnaires (1999-2003, 2005-2010, 2013-2015). Self-reported cases were confirmed by medical records or medication use (total: 107 incident SLE or SS, 79% female). We examined ever use of 31 pesticides and farm tasks and exposures reported at enrollment in association with SLE/SS, using Cox regression to estimate hazard ratios (HR) and 95% confidence intervals (CI), with age as the timescale and adjusting for gender, state, and correlated pesticides. RESULTS In older participants (>62 years), SLE/SS was associated with ever use of the herbicide metribuzin (HR 5.33; 95%CI 2.19, 12.96) and applying pesticides 20+ days per year (2.97; 1.20, 7.33). Inverse associations were seen for petroleum oil/distillates (0.39; 0.18, 0.87) and the insecticide carbaryl (0.56; 0.36, 0.87). SLE/SS was inversely associated with having a childhood farm residence (0.59; 0.39, 0.91), but was not associated with other farm tasks/exposures (except welding, HR 2.65; 95%CI 0.96, 7.35). CONCLUSIONS These findings suggest that some agricultural pesticides may be associated with higher or lower risk of SLE/SS. However, the overall risk associated with farming appears complex, involving other factors and childhood exposures.
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Affiliation(s)
- C G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA.
| | - K H Costenbader
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - S Long
- Westat, Rockville, MD, USA
| | - J N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Freeman L E Beane
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - D P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
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Yuan Y, Shrestha S, Luo Z, Li C, Plassman BL, Parks CG, Hofmann JN, Beane Freeman LE, Sandler DP, Chen H. High Pesticide Exposure Events and Dream‐Enacting Behaviors Among US Farmers. Mov Disord 2022; 37:962-971. [PMID: 35152487 PMCID: PMC9524747 DOI: 10.1002/mds.28960] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 01/19/2022] [Accepted: 01/24/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Dream-enacting behavior is a characteristic feature of rapid eye movement sleep behavior disorder, the most specific prodromal marker of synucleinopathies. Pesticide exposure may be associated with dream-enacting behaviors, but epidemiological evidence is limited. OBJECTIVES To examine high pesticide exposure events in relation to dream-enacting behaviors among farmers in the Agricultural Health Study. METHODS We conducted multivariable logistic regression analyses to examine high pesticide exposure events reported from 1993 to 1997 in relation to dream-enacting behaviors assessed from 2013 to 2015 among 11,248 farmers (age 47 ± 11 years). RESULTS A history of dream-enacting behaviors was reported by 939 (8.3%) farmers. Compared with farmers who did not report any high pesticide exposure event, those who reported were more likely to endorse dream-enacting behaviors 2 decades later (odds ratio = 1.75; 95% confidence interval [CI], 1.49-2.05). The association appeared stronger when there was a long delay in washing with soap and water after the event (2.63 [95% CI, 1.62-4.27] for waiting >6 hours vs. 1.71 [95% CI, 1.36-2.15] for washing within 30 minutes) and when the exposure involved the respiratory or digestive tract (2.04 [95% CI, 1.62-2.57] vs. 1.58 [95% CI, 1.29-1.93] for dermal contact only). In the analyses of specific pesticides involved, we found positive associations with two organochlorine insecticides (dichlorodiphenyltrichloroethane and lindane), four organophosphate insecticides (phorate, ethoprop, terbufos, and parathion), two herbicides (alachlor and paraquat), and fungicides as a group. CONCLUSIONS This study provides the first epidemiological evidence that high pesticide exposures may be associated with a higher risk of dream-enacting behaviors. © 2022 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Yaqun Yuan
- Department of Epidemiology and Biostatistics, College of Human Medicine Michigan State University East Lansing Michigan USA
| | - Srishti Shrestha
- The Memory Impairment and Neurodegenerative Dementia Center University of Mississippi Medical Center Jackson Mississippi USA
| | - Zhehui Luo
- Department of Epidemiology and Biostatistics, College of Human Medicine Michigan State University East Lansing Michigan USA
| | - Chenxi Li
- Department of Epidemiology and Biostatistics, College of Human Medicine Michigan State University East Lansing Michigan USA
| | - Brenda L. Plassman
- Department of Psychiatry and Behavioral Sciences Duke University Medical Center Durham North Carolina USA
| | - Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences Research Triangle Park North Carolina USA
| | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville Maryland USA
| | - Laura E. Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics National Cancer Institute Rockville Maryland USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences Research Triangle Park North Carolina USA
| | - Honglei Chen
- Department of Epidemiology and Biostatistics, College of Human Medicine Michigan State University East Lansing Michigan USA
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Hung F, Hofmann JN, Josse PR, Locke SJ, Stapleton EM, Andreotti G, Deziel NC, Beane Freeman LE, Friesen MC. Observed vs. self-reported agricultural activities: Evaluating 24-hr recall in a pilot study. J Occup Environ Hyg 2022; 19:87-90. [PMID: 34895098 PMCID: PMC9756316 DOI: 10.1080/15459624.2021.2015074] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Few studies have evaluated the validity of self-report of work activities because of challenges in obtaining objective measures. In this study, farmers' recall of the previous day's agricultural activities was compared to activities observed by field staff during air monitoring. Recall was assessed in 32 farmers from the Biomarkers of Exposure and Effect in Agriculture Study, a subset of a prospective cohort study. The farmers participated in 56 visits that comprised air monitoring the day before an interview. The answers for 14 agricultural activities were compared to activities observed by field staff during air monitoring (median duration 380 min, range 129-486). For each task, evaluated as yes/no, overall agreement, sensitivity, specificity, and kappa were calculated. Median prevalence of the 14 activities was 8% from observation and 13% from participants (range: 2-54%). Agreement was generally good to perfect, with a median overall agreement of 95% (range: 89-100%), median sensitivity of 84% (50-100%), median specificity of 95% (88-100%), and median kappa of 0.65 (0.31-1.0). Reasons for disagreement included activities occurring when the field staff was not present (i.e., milking cows), unclear timing notes that made it difficult to determine whether the activity occurred the day of and/or day before the interview, definition issues (i.e., participant included hauling in the definition of harvesting), and difficulty in observing details of an activity (i.e., whether hay was moldy). This study provides support for accurate participant recall the day after activities.
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Affiliation(s)
- Felicia Hung
- Environmental Health Sciences, School of Public Health, Yale University, New Haven, Connecticut
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Pabitra R Josse
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Sarah J Locke
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Emma M Stapleton
- Department of Occupational and Environmental Health, University of Iowa, Iowa City, Iowa
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Nicole C Deziel
- Environmental Health Sciences, School of Public Health, Yale University, New Haven, Connecticut
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
| | - Melissa C Friesen
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland
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Togawa K, Leon ME, Lebailly P, Beane Freeman LE, Nordby KC, Baldi I, MacFarlane E, Shin A, Park S, Greenlee RT, Sigsgaard T, Basinas I, Hofmann JN, Kjaerheim K, Douwes J, Denholm R, Ferro G, Sim MR, Kromhout H, Schüz J. Cancer incidence in agricultural workers: Findings from an international consortium of agricultural cohort studies (AGRICOH). Environ Int 2021; 157:106825. [PMID: 34461377 PMCID: PMC8484858 DOI: 10.1016/j.envint.2021.106825] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/29/2021] [Accepted: 08/11/2021] [Indexed: 05/28/2023]
Abstract
BACKGROUND Agricultural work can expose workers to potentially hazardous agents including known and suspected carcinogens. This study aimed to evaluate cancer incidence in male and female agricultural workers in an international consortium, AGRICOH, relative to their respective general populations. METHODS The analysis included eight cohorts that were linked to their respective cancer registries: France (AGRICAN: n = 128,101), the US (AHS: n = 51,165, MESA: n = 2,177), Norway (CNAP: n = 43,834), Australia (2 cohorts combined, Australian Pesticide Exposed Workers: n = 12,215 and Victorian Grain Farmers: n = 919), Republic of Korea (KMCC: n = 8,432), and Denmark (SUS: n = 1,899). For various cancer sites and all cancers combined, standardized incidence ratios (SIR) and 95% confidence intervals (CIs) were calculated for each cohort using national or regional rates as reference rates and were combined by random-effects meta-analysis. RESULTS During nearly 2,800,000 person-years, a total of 23,188 cancers were observed. Elevated risks were observed for melanoma of the skin (number of cohorts = 3, meta-SIR = 1.18, CI: 1.01-1.38) and multiple myeloma (n = 4, meta-SIR = 1.27, CI: 1.04-1.54) in women and prostate cancer (n = 6, meta-SIR = 1.06, CI: 1.01-1.12), compared to the general population. In contrast, a deficit was observed for the incidence of several cancers, including cancers of the bladder, breast (female), colorectum, esophagus, larynx, lung, and pancreas and all cancers combined (n = 7, meta-SIR for all cancers combined = 0.83, 95% CI: 0.77-0.90). The direction of risk was largely consistent across cohorts although we observed large between-cohort variations in SIR for cancers of the liver and lung in men and women, and stomach, colorectum, and skin in men. CONCLUSION The results suggest that agricultural workers have a lower risk of various cancers and an elevated risk of prostate cancer, multiple myeloma (female), and melanoma of skin (female) compared to the general population. Those differences and the between-cohort variations may be due to underlying differences in risk factors and warrant further investigation of agricultural exposures.
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Affiliation(s)
- Kayo Togawa
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
| | - Maria E Leon
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Pierre Lebailly
- ANTICIPE, U1086 INSERM, Université de Caen Normandie, and Centre de Lutte Contre le Cancer François Baclesse, Caen, France
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, MD, USA
| | | | - Isabelle Baldi
- EPICENE, U1219 INSERM, Université de Bordeaux, and Service Santé Travail Environnement, CHU de Bordeaux, Bordeaux, France
| | - Ewan MacFarlane
- Monash Centre for Occupational and Environmental Health, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sue Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Robert T Greenlee
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Torben Sigsgaard
- Department of Public Health, Research Section for Environment, Occupation and Health, Danish Ramazzini Centre, Aarhus University, Aarhus, Denmark
| | - Ioannis Basinas
- Centre for Occupational and Environmental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, United Kingdom
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute (NCI), Bethesda, MD, USA
| | | | - Jeroen Douwes
- Centre for Public Health Research, Massey University, Wellington, New Zealand
| | - Rachel Denholm
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Gilles Ferro
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
| | - Malcolm R Sim
- Monash Centre for Occupational and Environmental Health, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Hans Kromhout
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, the Netherlands
| | - Joachim Schüz
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France
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De Roos AJ, Schinasi LH, Miligi L, Cerhan JR, Bhatti P, ‘t Mannetje A, Baris D, Benavente Y, Benke G, Clavel J, Casabonne D, Fritschi L, Hofmann JN, Huynh T, Monnereau A, Piro S, Slager SL, Vajdic CM, Wang SS, Zhang Y, Bernstein L, Cocco P. Occupational insecticide exposure and risk of non-Hodgkin lymphoma: A pooled case-control study from the InterLymph Consortium. Int J Cancer 2021; 149:1768-1786. [PMID: 34270795 PMCID: PMC10560384 DOI: 10.1002/ijc.33740] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 06/07/2021] [Accepted: 06/18/2021] [Indexed: 11/07/2022]
Abstract
Evidence for the human health effects of pesticides is needed to inform risk assessment. We studied the relationship between occupational insecticide use and risk of non-Hodgkin lymphoma (NHL) by pooling data from nine case-control studies participating in the InterLymph Consortium, including 7909 cases and 8644 controls from North America, the European Union and Australia. Insecticide use was coded using self-report or expert assessment, for insecticide groups (eg, organophosphates, pyrethroids) and active ingredients (eg, malathion, permethrin). Associations with insecticides were estimated using logistic regression to produce odds ratios (ORs) and 95% confidence intervals (CI) for all NHL and NHL subtypes, with adjustment for study site, demographic factors and use of other pesticides. Occupational insecticide use, overall, was not associated with risk of NHL. Use of organophosphate insecticides was associated with increased risk of all NHL and the subtype follicular lymphoma, and an association was found with diazinon, in particular (ever use: OR = 2.05, 95%CI: 1.24-3.37). The carbamate insecticide, carbaryl, was associated with risk of all NHL, and the strongest associations were found with T-cell NHL for ever-use (OR = 2.44, 95%CI: 1.13-5.28) and longer duration (>8 years vs never: OR = 2.90, 95%CI: 1.02-8.25). There was no association of NHL with other broad groups of insecticides, including organochlorines and pyrethroids, and some inverse associations were estimated in relation to historical DDT use. Our findings contribute to the totality of evidence available to help inform risk decisions by public health and regulatory agencies of importance given continued, widespread use of organophosphate and carbamate insecticides.
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Affiliation(s)
- Anneclaire J. De Roos
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Leah H. Schinasi
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Lucia Miligi
- Environmental and Occupational Epidemiology Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - James R. Cerhan
- Division of Epidemiology, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada
- Occupational and Environmental Health, School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Andrea ‘t Mannetje
- Center for Public Health Research, Massey University-Wellington Campus, Wellington, New Zealand
| | - Dalsu Baris
- Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota, USA
| | - Yolanda Benavente
- 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
| | - Geza Benke
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jacqueline Clavel
- Epidemiology of Childhood and Adolescent Cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, France
- Université Paris Descartes, Paris, France
| | - Delphine Casabonne
- 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
| | | | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Betthesda, Maryland, USA
| | - Tran Huynh
- Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, Philadelphia, Pennsylvania, USA
| | - Alain Monnereau
- Epidemiology of Childhood and Adolescent Cancers Group, Inserm, Center of Research in Epidemiology and Statistics Sorbonne Paris Cité (CRESS), Paris, France
- Registre des Hémopathies Malignes de la Gironde, Institut Bergonié, University of Bordeaux, Inserm, Bordeaux, France
| | - Sara Piro
- Environmental and Occupational Epidemiology Branch, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Susan L. Slager
- Division of Computational Biology and Hematology, Department of Quantitative Health Sciences and Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Claire M. Vajdic
- Centre for Big Data Research in Health, University of New South Wales, New South Wales, Australia
| | - Sophia S. Wang
- Division of Health Analytics, Department of Computational and Quantitative Medicine, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Yawei Zhang
- National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Leslie Bernstein
- Division of Biomarkers of Early Detection and Prevention, Beckman Research Institute of City of Hope, City of Hope Comprehensive Cancer Center, Duarte, California, USA
| | - Pierluigi Cocco
- Division of Population Health, Centre for Occupational and Environmental Health, University of Manchester, Manchester, UK
- Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Hoang TT, Qi C, Paul KC, Lee M, White JD, Richards M, Auerbach SS, Long S, Shrestha S, Wang T, Beane Freeman LE, Hofmann JN, Parks C, Xu CJ, Ritz B, Koppelman GH, London SJ. Epigenome-Wide DNA Methylation and Pesticide Use in the Agricultural Lung Health Study. Environ Health Perspect 2021; 129:97008. [PMID: 34516295 PMCID: PMC8437246 DOI: 10.1289/ehp8928] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
BACKGROUND Pesticide exposure is associated with many long-term health outcomes; the potential underlying mechanisms are not well established for most associations. Epigenetic modifications, such as DNA methylation, may contribute. Individual pesticides may be associated with specific DNA methylation patterns but no epigenome-wide association study (EWAS) has evaluated methylation in relation to individual pesticides. OBJECTIVES We conducted an EWAS of DNA methylation in relation to several pesticide active ingredients. METHODS The Agricultural Lung Health Study is a case-control study of asthma, nested within the Agricultural Health Study. We analyzed blood DNA methylation measured using Illumina's EPIC array in 1,170 male farmers of European ancestry. For pesticides still on the market at blood collection (2009-2013), we evaluated nine active ingredients for which at least 30 participants reported past and current (within the last 12 months) use, as well as seven banned organochlorines with at least 30 participants reporting past use. We used robust linear regression to compare methylation at individual C-phosphate-G sites (CpGs) among users of a specific pesticide to never users. RESULTS Using family-wise error rate (p<9×10-8) or false-discovery rate (FDR<0.05), we identified 162 differentially methylated CpGs across 8 of 9 currently marketed active ingredients (acetochlor, atrazine, dicamba, glyphosate, malathion, metolachlor, mesotrione, and picloram) and one banned organochlorine (heptachlor). Differentially methylated CpGs were unique to each active ingredient, and a dose-response relationship with lifetime days of use was observed for most. Significant CpGs were enriched for transcription motifs and 28% of CpGs were associated with whole blood cis-gene expression, supporting functional effects of findings. We corroborated a previously reported association between dichlorodiphenyltrichloroethane (banned in the United States in 1972) and epigenetic age acceleration. DISCUSSION We identified differential methylation for several active ingredients in male farmers of European ancestry. These may serve as biomarkers of chronic exposure and could inform mechanisms of long-term health outcomes from pesticide exposure. https://doi.org/10.1289/EHP8928.
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Affiliation(s)
- Thanh T. Hoang
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Cancan Qi
- Department of Pediatric Pulmonology and Pediatric Allergy, University Medical Center Groningen, Beatrix Children’s Hospital, University of Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and Chronic Obstructive Pulmonary Disease, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Kimberly C. Paul
- Department of Epidemiology, University of California, Los Angeles Fielding School of Public Health, Los Angeles, California, USA
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Julie D. White
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | | | - Scott S. Auerbach
- Biomolecular Screening Branch, National Toxicology Program, NIEHS, NIH, DHHS, Morrisville, North Carolina, USA
| | | | - Srishti Shrestha
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | - Tianyuan Wang
- Integrative Bioinformatics Support Group, NIH, DHHS, Research Triangle Park, North Carolina, USA
| | - Laura E. Beane Freeman
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA
| | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, National Cancer Institute, NIH, DHHS, Bethesda, Maryland, USA
| | - Christine Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
| | | | - Cheng-Jian Xu
- Research Group of Bioinformatics and Computational Genomics, CiiM, Centre for individualized infection medicine, a joint venture between Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
- Department of Gastroenterology, Hepatology and Endocrinology, TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, Netherlands
| | - Beate Ritz
- Department of Epidemiology, University of California, Los Angeles Fielding School of Public Health, Los Angeles, California, USA
- Department of Neurology, David Geffen School of Medicine, Los Angeles, California, USA
| | - Gerard H. Koppelman
- Department of Pediatric Pulmonology and Pediatric Allergy, University Medical Center Groningen, Beatrix Children’s Hospital, University of Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and Chronic Obstructive Pulmonary Disease, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Stephanie J. London
- Epidemiology Branch, National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina, USA
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Shearer JJ, Sandler DP, Andreotti G, Murata K, Shrestha S, Parks CG, Liu D, Alavanja MC, Landgren O, Beane Freeman LE, Hofmann JN. Pesticide use and kidney function among farmers in the Biomarkers of Exposure and Effect in Agriculture study. Environ Res 2021; 199:111276. [PMID: 33989625 PMCID: PMC8489787 DOI: 10.1016/j.envres.2021.111276] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 04/26/2021] [Accepted: 04/29/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Pesticides have been reported to be associated with malignant and non-malignant kidney disease. Few studies have examined the relationship between individual pesticides and kidney dysfunction. OBJECTIVE We evaluated the associations of pesticide use with measured kidney function among male pesticide applicators in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study, a subcohort in the Agricultural Health Study. METHODS Serum creatinine was measured in 1545 BEEA participants and estimated glomerular filtration rate (eGFR) was calculated with the chronic kidney disease epidemiology collaboration (CKD-EPI) equation. Using reported information on lifetime use of 41 pesticides, multivariable linear and logistic regression was used to examine associations with eGFR modeled continuously and with CKD (eGFR <60 mL/min/1.73 m2), respectively. Models were adjusted for possible confounding factors related to kidney function and correlated pesticides. RESULTS Lower eGFR was observed among pesticide applicators who ever used the herbicides pendimethalin (-3.7%, 95% confidence interval (CI): 5.8%, -1.5%), atrazine (-3.7%, 95% CI: 6.9%, -0.4%), and dicamba (-2.8%, 95% CI: 5.3%, -0.2%) compared with never users of each pesticide. Ever use of pendimethalin (odds ratio (OR)=1.6, 95% CI: 1.1, 2.2) and atrazine (OR=1.8, 95% CI: 1.0, 3.0) was also associated with elevated odds of CKD, with an exposure-response association between intensity-weighted lifetime days of pendimethalin use and CKD among active farmers (N=1302; ptrend=0.04). Atrazine use within the last year was associated with lower eGFR and elevated odds of CKD when compared with never users, and we observed exposure-response associations with intensity-weighted lifetime days among recent users. Use of several other pesticides was associated with higher eGFR. DISCUSSION These results suggest that two widely used herbicides, pendimethalin and atrazine, may be associated with altered kidney function among pesticide applicators. Our findings for these herbicides are consistent with observed associations with end-stage renal disease in the Agricultural Health Study.
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Affiliation(s)
- Joseph J Shearer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Kazunori Murata
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York City, NY, USA
| | - Srishti Shrestha
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle, NC, USA
| | - Danping Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Michael C Alavanja
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Ola Landgren
- Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York City, NY, USA; Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL, USA
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
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44
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Parks CG, Hofmann JN, Beane Freeman LE, Sandler DP. Agricultural Pesticides and Shingles Risk in a Prospective Cohort of Licensed Pesticide Applicators. Environ Health Perspect 2021; 129:77005. [PMID: 34319145 PMCID: PMC8317610 DOI: 10.1289/ehp7797] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 06/11/2021] [Accepted: 06/17/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Some pesticides are immunotoxic and have been associated with an increased risk of immune-mediated diseases. The risk of shingles, the clinical reactivation of varicella-zoster virus, increases with aging and immunosuppression; little is known about its associations with pesticides. OBJECTIVE We examined the use of agricultural pesticides in relation to incident shingles in a prospective cohort of licensed pesticide applicators. METHODS The study sample included 12,820 (97% male) farmers (enrolled in 1993-1997 in North Carolina and Iowa), who were followed for a median of 12 y (interquartile range: 11-13). Shingles was self-reported at enrollment and at follow-up. We evaluated ever-use of 48 agricultural pesticides reported at study enrollment in relation to shingles risk and considered exposure-response for intensity-weighted lifetime days (IWLDs) of use. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazard models, adjusting for state, and allowing estimates to vary by median attained age (60 y). RESULTS Incident shingles was reported by 590 participants. Associations were positive (HRs>1.2) for ever- vs. never-use of eight insecticides, three fumigants, two fungicides, and five herbicides, and exposure-response trends were seen across increasing quartiles (Q3 and Q4>Q1) or tertiles (T3 and T2>T1) of IWLDs for four insecticides [permethrin (crops), coumaphos, malathion, and lindane], two fumigants (carbon tetrachloride/carbon disulfide and methyl bromide), and three herbicides [alachlor, trifluralin (<60 years of age) and 2,4-dichlorophenoxyacetic acid]. Shingles was not associated with total years or days per year mixed or applied any pesticides, but in older participants, shingles was associated with a history of a high pesticide exposure event [HR=1.89 (95% CI: 1.45, 2.45)]. CONCLUSIONS Several specific pesticides were associated with increased risk of shingles in farmers, especially at higher levels of cumulative use. These novel findings, if replicated in other populations, could have broader implications for the potential effects of pesticides on vaccine efficacy and susceptibility to other infections. https://doi.org/10.1289/EHP7797.
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Affiliation(s)
- Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Jonathan N. Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Laura E. Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
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Shearer JJ, Callahan CL, Calafat AM, Huang WY, Jones RR, Sabbisetti VS, Freedman ND, Sampson JN, Silverman DT, Purdue MP, Hofmann JN. Serum Concentrations of Per- and Polyfluoroalkyl Substances and Risk of Renal Cell Carcinoma. J Natl Cancer Inst 2021; 113:580-587. [PMID: 32944748 DOI: 10.1289/isee.2020.virtual.o-sy-1758] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 08/05/2020] [Accepted: 09/02/2020] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) are highly persistent chemicals that have been detected in the serum of over 98% of the US population. Studies among highly exposed individuals suggest an association with perfluorooctanoic acid (PFOA) exposure and kidney cancer. It remains unclear whether PFOA or other PFAS are renal carcinogens or if they influence risk of renal cell carcinoma (RCC) at concentrations observed in the general population. METHODS We measured prediagnostic serum concentrations of PFOA and 7 additional PFAS in 324 RCC cases and 324 individually matched controls within the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Multivariable conditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CIs) relating serum PFAS concentrations and RCC risk. Individual PFAS were modeled continuously (log2-transformed) and categorically, with adjustment for kidney function and additional potential confounders. All statistical tests were 2-sided. RESULTS We observed a positive association with RCC risk for PFOA (doubling in serum concentration, ORcontinuous = 1.71, 95% CI = 1.23 to 2.37, P = .002) and a greater than twofold increased risk among those in the highest quartile vs the lowest (OR = 2.63, 95% CI = 1.33 to 5.20, Ptrend = .007). The association with PFOA was similar after adjustment for other PFAS (ORcontinuous = 1.68, 95% CI = 1.07 to 2.63, P = .02) and remained apparent in analyses restricted to individuals without evidence of diminished kidney function and in cases diagnosed 8 or more years after phlebotomy. CONCLUSIONS Our findings add substantially to the weight of evidence that PFOA is a renal carcinogen and may have important public health implications for the many individuals exposed to this ubiquitous and highly persistent chemical.
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Affiliation(s)
- Joseph J Shearer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Catherine L Callahan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rena R Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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46
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Shearer JJ, Callahan CL, Calafat AM, Huang WY, Jones RR, Sabbisetti VS, Freedman ND, Sampson JN, Silverman DT, Purdue MP, Hofmann JN. Serum Concentrations of Per- and Polyfluoroalkyl Substances and Risk of Renal Cell Carcinoma. J Natl Cancer Inst 2021; 113:580-587. [PMID: 32944748 PMCID: PMC8096365 DOI: 10.1093/jnci/djaa143] [Citation(s) in RCA: 63] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 08/05/2020] [Accepted: 09/02/2020] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Per- and polyfluoroalkyl substances (PFAS) are highly persistent chemicals that have been detected in the serum of over 98% of the US population. Studies among highly exposed individuals suggest an association with perfluorooctanoic acid (PFOA) exposure and kidney cancer. It remains unclear whether PFOA or other PFAS are renal carcinogens or if they influence risk of renal cell carcinoma (RCC) at concentrations observed in the general population. METHODS We measured prediagnostic serum concentrations of PFOA and 7 additional PFAS in 324 RCC cases and 324 individually matched controls within the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Multivariable conditional logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CIs) relating serum PFAS concentrations and RCC risk. Individual PFAS were modeled continuously (log2-transformed) and categorically, with adjustment for kidney function and additional potential confounders. All statistical tests were 2-sided. RESULTS We observed a positive association with RCC risk for PFOA (doubling in serum concentration, ORcontinuous = 1.71, 95% CI = 1.23 to 2.37, P = .002) and a greater than twofold increased risk among those in the highest quartile vs the lowest (OR = 2.63, 95% CI = 1.33 to 5.20, Ptrend = .007). The association with PFOA was similar after adjustment for other PFAS (ORcontinuous = 1.68, 95% CI = 1.07 to 2.63, P = .02) and remained apparent in analyses restricted to individuals without evidence of diminished kidney function and in cases diagnosed 8 or more years after phlebotomy. CONCLUSIONS Our findings add substantially to the weight of evidence that PFOA is a renal carcinogen and may have important public health implications for the many individuals exposed to this ubiquitous and highly persistent chemical.
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Affiliation(s)
- Joseph J Shearer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Catherine L Callahan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Antonia M Calafat
- National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Rena R Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | | | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Joshua N Sampson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Mark P Purdue
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
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Lerro CC, Hofmann JN, Andreotti G, Koutros S, Parks CG, Blair A, Albert PS, Lubin JH, Sandler DP, Beane Freeman LE. Dicamba use and cancer incidence in the agricultural health study: an updated analysis. Int J Epidemiol 2021; 49:1326-1337. [PMID: 32357211 DOI: 10.1093/ije/dyaa066] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2020] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The herbicide dicamba has been commonly used agriculturally and residentially. Recent approval of genetically engineered dicamba-resistant crops is expected to lead to increased dicamba use, and there has been growing interest in potential human health effects. A prior analysis in the Agricultural Health Study (AHS) suggested associations between dicamba and colon and lung cancer. We re-evaluated dicamba use in the AHS, including an additional 12 years and 2702 exposed cancers. METHODS The AHS is a prospective cohort of pesticide applicators in Iowa and North Carolina. At enrollment (1993-1997) and follow-up (1999-2005), participants reported dicamba use. Exposure was characterized by cumulative intensity-weighted lifetime days, including exposure lags of up to 20 years. We estimated relative risks (RR) and 95% confidence intervals (CI) using multivariable Poisson regression for incident cancers diagnosed from enrollment through 2014/2015. RESULTS Among 49 922 applicators, 26 412 (52.9%) used dicamba. Compared with applicators reporting no dicamba use, those in the highest quartile of exposure had elevated risk of liver and intrahepatic bile duct cancer (nexposed = 28, RRQ4 = 1.80, CI: 1.26-2.56, Ptrend < 0.001) and chronic lymphocytic leukaemia (CLL, nexposed = 93, RRQ4 = 1.20, CI: 0.96-1.50, Ptrend = 0.01) and decreased risk of myeloid leukaemia (nexposed = 55, RRQ4 = 0.73, CI: 0.51-1.03, Ptrend = 0.01). The associations for liver cancer and myeloid leukaemia remained after lagging exposure of up to 20 years. CONCLUSIONS With additional follow-up and exposure information, associations with lung and colon cancer were no longer apparent. In this first evaluation of liver and intrahepatic bile duct cancer, there was an association with increasing use of dicamba that persisted across lags of up to 20 years.
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Affiliation(s)
- Catherine C Lerro
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Aaron Blair
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Paul S Albert
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jay H Lubin
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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48
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Macauda A, Piredda C, Clay-Gilmour AI, Sainz J, Buda G, Markiewicz M, Barington T, Ziv E, Hildebrandt MAT, Belachew AA, Varkonyi J, Prejzner W, Druzd-Sitek A, Spinelli J, Andersen NF, Hofmann JN, Dudziński M, Martinez-Lopez J, Iskierka-Jazdzewska E, Milne RL, Mazur G, Giles GG, Ebbesen LH, Rymko M, Jamroziak K, Subocz E, Reis RM, Garcia-Sanz R, Suska A, Haastrup EK, Zawirska D, Grzasko N, Vangsted AJ, Dumontet C, Kruszewski M, Dutka M, Camp NJ, Waller RG, Tomczak W, Pelosini M, Raźny M, Marques H, Abildgaard N, Wątek M, Jurczyszyn A, Brown EE, Berndt S, Butrym A, Vachon CM, Norman AD, Slager SL, Gemignani F, Canzian F, Campa D. Expression quantitative trait loci of genes predicting outcome are associated with survival of multiple myeloma patients. Int J Cancer 2021; 149:327-336. [PMID: 33675538 DOI: 10.1002/ijc.33547] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 11/30/2020] [Accepted: 12/14/2020] [Indexed: 12/24/2022]
Abstract
Gene expression profiling can be used for predicting survival in multiple myeloma (MM) and identifying patients who will benefit from particular types of therapy. Some germline single nucleotide polymorphisms (SNPs) act as expression quantitative trait loci (eQTLs) showing strong associations with gene expression levels. We performed an association study to test whether eQTLs of genes reported to be associated with prognosis of MM patients are directly associated with measures of adverse outcome. Using the genotype-tissue expression portal, we identified a total of 16 candidate genes with at least one eQTL SNP associated with their expression with P < 10-7 either in EBV-transformed B-lymphocytes or whole blood. We genotyped the resulting 22 SNPs in 1327 MM cases from the International Multiple Myeloma rESEarch (IMMEnSE) consortium and examined their association with overall survival (OS) and progression-free survival (PFS), adjusting for age, sex, country of origin and disease stage. Three polymorphisms in two genes (TBRG4-rs1992292, TBRG4-rs2287535 and ENTPD1-rs2153913) showed associations with OS at P < .05, with the former two also associated with PFS. The associations of two polymorphisms in TBRG4 with OS were replicated in 1277 MM cases from the International Lymphoma Epidemiology (InterLymph) Consortium. A meta-analysis of the data from IMMEnSE and InterLymph (2579 cases) showed that TBRG4-rs1992292 is associated with OS (hazard ratio = 1.14, 95% confidence interval 1.04-1.26, P = .007). In conclusion, we found biologically a plausible association between a SNP in TBRG4 and OS of MM patients.
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Affiliation(s)
- Angelica Macauda
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Biology, University of Pisa, Pisa, Italy
| | | | - Alyssa I Clay-Gilmour
- Department of Epidemiology & Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Juan Sainz
- Genomic Oncology Area, GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada/Andalusian Regional Government, Granada, Spain.,Hematology department, Virgen de las Nieves University Hospital, Granada, Spain
| | - Gabriele Buda
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Miroslaw Markiewicz
- Department of Hematology and Bone Marrow Transplantation, SPSKM Hospital, Katowice, Poland
| | - Torben Barington
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - Elad Ziv
- Department of Medicine, Division of General Internal Medicine, Institute for Human Genetics, Helen Diller Family Comprehensive Cancer Center, University of California San Francisco, San Francisco, California, USA
| | - Michelle A T Hildebrandt
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Alem A Belachew
- Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Judit Varkonyi
- Third Department of Internal Medicine, Semmelweis University, Budapest, Hungary
| | - Witold Prejzner
- Department of Hematology and Transplantation, Medical University of Gdansk, Gdansk, Poland
| | - Agnieszka Druzd-Sitek
- Department of Lymphoid Malignacies, Maria Skłodowska-Curie National Research Institute of Oncology, Warsaw, Poland
| | - John Spinelli
- Cancer Control Research, BC Cancer Agency, Vancouver, British Columbia, Canada.,School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Jonathan N Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Marek Dudziński
- Department of Hematology, Institute of Medical Sciences, College of Medical Sciences, University of Rzeszow, Rzeszow, Poland
| | | | | | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Grzegorz Mazur
- Department of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Wroclaw, Poland
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | | | - Marcin Rymko
- Department of Hematology, N. Copernicus Town Hospital, Torun, Poland
| | - Krzysztof Jamroziak
- Department of Hematology, Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Edyta Subocz
- Department of Haematology, Military Institute of Medicine, Warsaw, Poland
| | - Rui Manuel Reis
- Life and Health Sciences Research Institute (ICVS), School of Health Sciences, University of Minho, Braga, Portugal.,Molecular Oncology Research Center, Barretos, São Paulo, Brazil
| | - Ramon Garcia-Sanz
- Department of Hematology, University Hospital of Salamanca, IBSAL, Salamanca, Spain
| | - Anna Suska
- Department of Hematology, Jagiellonian University Medical College, Cracow, Poland
| | - Eva Kannik Haastrup
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Daria Zawirska
- Department of Hematology, University Hospital of Cracow, Cracow, Poland
| | - Norbert Grzasko
- Department of Experimental Hematooncolog, Medical University of Lublin, Lublin, Poland.,Department of Hematology, St. John's Cancer Center, Lublin, Poland
| | - Annette Juul Vangsted
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Charles Dumontet
- Cancer Research Center of Lyon/Hospices Civils de Lyon, Lyon, France
| | - Marcin Kruszewski
- Department of Hematology, University Hospital Bydgoszcz, Bydgoszcz, Poland
| | - Magdalena Dutka
- Department of Hematology and Transplantation, Medical University of Gdansk, Gdansk, Poland
| | | | | | | | - Matteo Pelosini
- Clinical and Experimental Medicine, Section of Hematology, University of Pisa, Pisa, Italy
| | - Małgorzata Raźny
- Department of Hematology, Rydygier Specialistic Hospital, Cracow, Poland
| | | | - Niels Abildgaard
- Department of Hematology, Odense University Hospital, Odense, Denmark
| | - Marzena Wątek
- Hematology Clinic, Holycross Cancer Center, Kielce, Poland
| | - Artur Jurczyszyn
- Department of Hematology, Jagiellonian University Medical College, Cracow, Poland
| | - Elizabeth E Brown
- Department of Pathology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Aleksandra Butrym
- Department of Internal and Occupational Diseases, Hypertension and Clinical Oncology, Wroclaw Medical University, Wroclaw, Poland
| | - Celine M Vachon
- Genetic Epidemiology and Risk Assessment Program, Mayo Clinic Comprehensive Cancer Center, and Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Aaron D Norman
- Genetic Epidemiology and Risk Assessment Program, Mayo Clinic Comprehensive Cancer Center, and Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Susan L Slager
- Genetic Epidemiology and Risk Assessment Program, Mayo Clinic Comprehensive Cancer Center, and Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Federico Canzian
- Genomic Epidemiology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniele Campa
- Department of Biology, University of Pisa, Pisa, Italy
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Hofmann JN, Beane Freeman LE, Murata K, Andreotti G, Shearer JJ, Thoren K, Ramanathan L, Parks CG, Koutros S, Lerro CC, Liu D, Rothman N, Lynch CF, Graubard BI, Sandler DP, Alavanja MC, Landgren O. Lifetime Pesticide Use and Monoclonal Gammopathy of Undetermined Significance in a Prospective Cohort of Male Farmers. Environ Health Perspect 2021; 129:17003. [PMID: 33404262 PMCID: PMC7787072 DOI: 10.1289/ehp6960] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Revised: 11/06/2020] [Accepted: 12/04/2020] [Indexed: 05/15/2023]
Abstract
BACKGROUND Farmers have a higher incidence of multiple myeloma, and there is suggestive evidence of an elevated prevalence of its precursor, monoclonal gammopathy of undetermined significance (MGUS), relative to the general population. Pesticide exposures are suspected to play a role; however, the biologic plausibility for associations with multiple myeloma remains unclear. OBJECTIVES Our objectives were to examine the prevalence of MGUS and evaluate associations with a wide range of pesticides in a large sample of farmers. METHODS We obtained sera and assessed MGUS among 1,638 male farmers ≥ 50 years of age in the Agricultural Health Study (AHS), a prospective cohort in Iowa and North Carolina. Odds ratios (ORs) and 95% confidence intervals (CIs) were computed to estimate associations with MGUS for recent use (within the 12 months before phlebotomy) and cumulative intensity-weighted lifetime days of use of specific pesticides. RESULTS The age-standardized MGUS prevalence was significantly elevated among AHS farmers (7.7%) compared with demographically similar men in the National Health and Nutrition Examination Survey (2.8%) or Olmsted County, Minnesota (3.8%; p < 0.001 ). Recent use of permethrin was associated with MGUS [recent use vs. no recent use, OR = 1.82 (95% CI: 1.06, 3.13)], especially among those who had also used it in the past [recent and past use vs. never use, OR = 2.49 (95% CI: 1.32, 4.69)]. High intensity-weighted lifetime use of the organochlorine insecticides aldrin and dieldrin was associated with MGUS relative to those who never used either of these pesticides [OR = 2.42 (95% CI: 1.29, 4.54); p trend = 0.006 ]. We also observed a positive association with high lifetime use of petroleum oil/distillates as an herbicide, as well as an inverse association with fonofos use. DISCUSSION This is the largest investigation of MGUS in farmers and the first to identify an association with MGUS for permethrin, a pyrethroid insecticide previously associated with multiple myeloma. Given the continued widespread use of permethrin in various residential and commercial settings, our findings may have important implications for exposed individuals in the general population. https://doi.org/10.1289/EHP6960.
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Affiliation(s)
- Jonathan N. Hofmann
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Laura E. Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Kazunori Murata
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Gabriella Andreotti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Joseph J. Shearer
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Katie Thoren
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Lakshmi Ramanathan
- Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Christine G. Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, DHHS, Research Triangle Park, North Carolina, USA
| | - Stella Koutros
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Catherine C. Lerro
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Danping Liu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Charles F. Lynch
- Department of Epidemiology, University of Iowa, Iowa City, Iowa, USA
| | - Barry I. Graubard
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Dale P. Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, NIH, DHHS, Research Triangle Park, North Carolina, USA
| | - Michael C. Alavanja
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Bethesda, Maryland, USA
| | - Ola Landgren
- Myeloma Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami, Miami, Florida, USA
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Lerro CC, Beane Freeman LE, DellaValle CT, Andreotti G, Hofmann JN, Koutros S, Parks CG, Shrestha S, Alavanja MCR, Blair A, Lubin JH, Sandler DP, Ward MH. Pesticide exposure and incident thyroid cancer among male pesticide applicators in agricultural health study. Environ Int 2021; 146:106187. [PMID: 33126065 PMCID: PMC10127519 DOI: 10.1016/j.envint.2020.106187] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 09/18/2020] [Accepted: 10/02/2020] [Indexed: 05/25/2023]
Abstract
BACKGROUND Many pesticides are known to have thyroid-disrupting properties. However, few studies have evaluated the association between specific pesticide ingredients and risk of thyroid cancer. We investigated self-reported pesticide use and incident thyroid cancer in the Agricultural Health Study (AHS), a large cohort of occupationally-exposed male pesticide applicators. METHODS The AHS is a prospective cohort of licensed pesticide applicators in Iowa and North Carolina. At enrollment (1993-1997) and follow-up (1999-2005), participants reported use of 50 pesticides. We characterized exposure as ever use (44 pesticides with ≥5 exposed cases) and by cumulative intensity-weighted lifetime days (22 pesticides with ≥10 exposed cases), a metric that accounts for factors that influence exposure. We estimated hazard ratios (HR) and 95% confidence intervals (CI) using Cox regression for incident thyroid (n = 85 cases) cancer among male participants using follow-up through 2014/2015. RESULTS Use of the fungicide metalaxyl (HR = 2.03, CI:1.16-3.52) and the organochlorine insecticide lindane (HR = 1.74, CI:1.06-2.84) was associated with increased risk of thyroid cancer. The herbicide chlorimuron-ethyl was inversely associated with risk when we restricted to papillary thyroid cancer, the most common subtype (HR = 0.52, CI:0.28-0.96). High use of the insecticide carbaryl (>median intensity-weighted days) was inversely associated with thyroid cancer (HR = 0.20, CI:0.08-0.53, ptrend = 0.001). CONCLUSIONS In this large cohort study, we observed increased risk of thyroid cancer associated with use of metalaxyl and lindane, and an inverse association with carbaryl. More work is needed to understand the potential role of these chemicals in thyroid carcinogenesis.
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Affiliation(s)
- Catherine C Lerro
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
| | - Laura E Beane Freeman
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Curt T DellaValle
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Gabriella Andreotti
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jonathan N Hofmann
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Stella Koutros
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Christine G Parks
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Srishti Shrestha
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Michael C R Alavanja
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Aaron Blair
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Jay H Lubin
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
| | - Dale P Sandler
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Mary H Ward
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
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