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Samanic C, Teer J, Thompson Z, Creed J, Fridley B, Nabors LB, Williams SL, Egan K. EPID-12. MITOCHONDRIAL DNA SEQUENCE VARIATION AND MENINGIOMA. Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab196.345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Meningiomas are the most common primary central nervous system tumors. Risk factors include female sex, African American race, a higher body mass index, and exposure to ionizing radiation. Genome-wide association studies have identified two risk loci for meningioma in the nuclear genome (rs12770228 and rs2686876). Whereas mitochondrial DNA (mtDNA) sequence variants and haplogroups have been linked with certain cancers, research on meningioma is lacking. We examined the association of 42 common (minor allele frequency ≥ 5%) germline mtDNA variants, haplogroups, and genes with meningioma risk in 1,080 controls and 478 cases from a case-control study conducted at medical centers in the southeastern US. Participant DNA samples were genotyped using the UK Biobank array that included a set of common and rare mtDNA variants. Risk associations were examined separately for meningioma overall, WHO grade 1 (n=409) and WHO grade 2/3 (n=69) meningiomas. Overall, meningioma risk was significantly higher among women (OR=2.86; 95% CI:2.21-3.71) compared to men, higher among African Americans (OR=2.37, 95% CI:1.41-3.99) compared to Caucasians, and higher among those who were overweight (OR=1.48; 95% CI:1.11-1.98) or obese (OR= 1.73; 95% CI:1.26-2.38) compared to those of normal weight. The variant m.16362T >C (rs62581341) in the mitochondrial control region was positively associated with grade 2/3 meningiomas (OR=2.33; 95% CI: 1.14-4.79), but not with grade 1 tumors (OR=0.99; 95% CI:0.64-1.53). Haplogroup L, a marker for African ancestry, was identified among 3.6% of controls and 8.6% of cases and was associated with meningioma risk overall (OR=2.56; 95% CI:1.52-4.30). When stratifying by self-reported race, the association between haplogroup L and meningioma was only apparent among the small number of self-reported Caucasians with this haplogroup (OR=6.68; 95% CI=1.66-26.91) when compared to non-L haplogroups, combined. No other common mtDNA variant (minor allele >5%), haplogroup, or gene was associated with meningioma risk. These findings merit further study.
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Affiliation(s)
| | | | | | | | | | - L Burt Nabors
- University of Alabama, Birmingham, Birmingham, AL, USA
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Samanic C, Teer J, Thompson Z, Creed J, Nabors L, Williams S, Egan K. EPID-10. MITOCHONDRIAL DNA SEQUENCE VARIATION AND RISK OF GLIOMA. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Malignant gliomas are the most common primary adult brain tumors, with poor prognosis and ill-defined etiology. Mitochondrial DNA (mtDNA) sequence variants and haplogroups have been linked with certain cancers, but research on glioma is lacking. We examined the association of germline mtDNA variants and haplogroups with glioma risk in 1,654 glioma cases and 1,065 controls from a US case-control study, and 427 glioma cases and 1,541 controls from the UK Biobank, all genotyped using the UKBiobank array with 276 tiled mtDNA variants. The analysis was restricted to participants of European ancestry, and risk of glioblastoma (GBM) and lower grade glioma (LGG) was examined separately. Distribution of mitochondrial haplogroups (H/HV,I,J,K,R,T,U,V,W,X) were similar in both study populations, with 46.4% and 48.1% of controls in the US and UK studies respectively, identified as H/HV, the most common haplogroup. In the US study there was an inverse association between haplogroup W and glioma (OR=0.43, 95%CI: 0.23–0.79) when compared with the H/HV haplogroup, which was not seen in the UK study (OR=1.10, 95%CI: 0.49–2.49). In the US study, a significant inverse association was observed with the previously reported mtDNA variant m.14798T > C (PMID: 31323957), resulting in the amino acid substitution F18L, for LGG (OR=0.73; 95%CI: 0.53–0.99) though not for GBM (OR=0.86; 95%CI: 0.66–1.11). In the UK study, the F18L substitution was associated with an increased risk of GBM (OR=1.48; 95%CI: 1.07–2.04), and no association was observed for LGG (OR=0.95; 95%CI: 0.53–1.68). Among cases in the US study with isocitrate dehydrogenase 1 (IDH1) status available (747 gliomas), a nonsignificant inverse association of the F18L substitution was observed in glioma cases with wild type (OR=0.72; 95%CI: 0.52–1.01) but not mutant (OR=1.08; 95%CI: 0.70–1.69) IDH1. No other common mtDNA variant (minor allele > 5%) was associated with glioma risk in either study. These associations merit further study.
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Affiliation(s)
| | - Jamie Teer
- H. Lee Moffitt Cancer Center, Tampa, FL, USA
| | | | | | - Louis Nabors
- University of Alabama at Birmingham, Birmingham, AL, USA
| | - Sion Williams
- University of Miami Miller School of Medicine, Miami, FL, USA
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Gaub KL, Hallyburton S, Samanic C, Paddack D, Clark CR, Pence S, Brown JA, Hawkins E. Patient Characteristics and Product Use Behaviors Among Persons with E-cigarette, or Vaping, Product Use-Associated Lung Injury - Indiana, June ̶ October 2019. MMWR Morb Mortal Wkly Rep 2019; 68:1139-1141. [PMID: 31830007 PMCID: PMC6919291 DOI: 10.15585/mmwr.mm6849a3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
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Baris D, Waddell R, Beane Freeman LE, Schwenn M, Colt JS, Ayotte JD, Ward MH, Nuckols J, Schned A, Jackson B, Clerkin C, Rothman N, Moore LE, Taylor A, Robinson G, Hosain GM, Armenti KR, McCoy R, Samanic C, Hoover RN, Fraumeni JF, Johnson A, Karagas MR, Silverman DT. Elevated Bladder Cancer in Northern New England: The Role of Drinking Water and Arsenic. J Natl Cancer Inst 2016; 108:djw099. [PMID: 27140955 PMCID: PMC5939854 DOI: 10.1093/jnci/djw099] [Citation(s) in RCA: 81] [Impact Index Per Article: 10.1] [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: 05/05/2015] [Revised: 12/01/2015] [Accepted: 02/24/2016] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Bladder cancer mortality rates have been elevated in northern New England for at least five decades. Incidence rates in Maine, New Hampshire, and Vermont are about 20% higher than the United States overall. We explored reasons for this excess, focusing on arsenic in drinking water from private wells, which are particularly prevalent in the region. METHODS In a population-based case-control study in these three states, 1213 bladder cancer case patients and 1418 control subjects provided information on suspected risk factors. Log transformed arsenic concentrations were estimated by linear regression based on measurements in water samples from current and past homes. All statistical tests were two-sided. RESULTS Bladder cancer risk increased with increasing water intake (Ptrend = .003). This trend was statistically significant among participants with a history of private well use (Ptrend = .01). Among private well users, this trend was apparent if well water was derived exclusively from shallow dug wells (which are vulnerable to contamination from manmade sources, Ptrend = .002) but not if well water was supplied only by deeper drilled wells (Ptrend = .48). If dug wells were used pre-1960, when arsenical pesticides were widely used in the region, heavier water consumers (>2.2 L/day) had double the risk of light users (<1.1 L/day, Ptrend = .01). Among all participants, cumulative arsenic exposure from all water sources, lagged 40 years, yielded a positive risk gradient (Ptrend = .004); among the highest-exposed participants (97.5th percentile), risk was twice that of the lowest-exposure quartile (odds ratio = 2.24, 95% confidence interval = 1.29 to 3.89). CONCLUSIONS Our findings support an association between low-to-moderate levels of arsenic in drinking water and bladder cancer risk in New England. In addition, historical consumption of water from private wells, particularly dug wells in an era when arsenical pesticides were widely used, was associated with increased bladder cancer risk and may have contributed to the New England excess.
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Affiliation(s)
- Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ).
| | - Richard Waddell
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Molly Schwenn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joanne S Colt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joseph D Ayotte
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Mary H Ward
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - John Nuckols
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Alan Schned
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Brian Jackson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Castine Clerkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Lee E Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Anne Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Gilpin Robinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Gm Monawar Hosain
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Karla R Armenti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Richard McCoy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Claudine Samanic
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Alison Johnson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Margaret R Karagas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ).
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5
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Baris D, Waddell R, Beane Freeman LE, Schwenn M, Colt JS, Ayotte JD, Ward MH, Nuckols J, Schned A, Jackson B, Clerkin C, Rothman N, Moore LE, Taylor A, Robinson G, Hosain GM, Armenti KR, McCoy R, Samanic C, Hoover RN, Fraumeni JF, Johnson A, Karagas MR, Silverman DT. Elevated Bladder Cancer in Northern New England: The Role of Drinking Water and Arsenic. J Natl Cancer Inst 2016. [PMID: 27140955 DOI: 10.1093/jnci/djw09] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND Bladder cancer mortality rates have been elevated in northern New England for at least five decades. Incidence rates in Maine, New Hampshire, and Vermont are about 20% higher than the United States overall. We explored reasons for this excess, focusing on arsenic in drinking water from private wells, which are particularly prevalent in the region. METHODS In a population-based case-control study in these three states, 1213 bladder cancer case patients and 1418 control subjects provided information on suspected risk factors. Log transformed arsenic concentrations were estimated by linear regression based on measurements in water samples from current and past homes. All statistical tests were two-sided. RESULTS Bladder cancer risk increased with increasing water intake (Ptrend = .003). This trend was statistically significant among participants with a history of private well use (Ptrend = .01). Among private well users, this trend was apparent if well water was derived exclusively from shallow dug wells (which are vulnerable to contamination from manmade sources, Ptrend = .002) but not if well water was supplied only by deeper drilled wells (Ptrend = .48). If dug wells were used pre-1960, when arsenical pesticides were widely used in the region, heavier water consumers (>2.2 L/day) had double the risk of light users (<1.1 L/day, Ptrend = .01). Among all participants, cumulative arsenic exposure from all water sources, lagged 40 years, yielded a positive risk gradient (Ptrend = .004); among the highest-exposed participants (97.5th percentile), risk was twice that of the lowest-exposure quartile (odds ratio = 2.24, 95% confidence interval = 1.29 to 3.89). CONCLUSIONS Our findings support an association between low-to-moderate levels of arsenic in drinking water and bladder cancer risk in New England. In addition, historical consumption of water from private wells, particularly dug wells in an era when arsenical pesticides were widely used, was associated with increased bladder cancer risk and may have contributed to the New England excess.
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Affiliation(s)
- Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ).
| | - Richard Waddell
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Laura E Beane Freeman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Molly Schwenn
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joanne S Colt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joseph D Ayotte
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Mary H Ward
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - John Nuckols
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Alan Schned
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Brian Jackson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Castine Clerkin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Lee E Moore
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Anne Taylor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Gilpin Robinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Gm Monawar Hosain
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Karla R Armenti
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Richard McCoy
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Claudine Samanic
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Robert N Hoover
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Joseph F Fraumeni
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Alison Johnson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Margaret R Karagas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ)
| | - Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, DHHS, Bethesda, MD (DB [formerly], LEBF, JSC, MHW, NR, LEM, CS [formerly], RNH, JFF, DTS); Geisel School of Medicine at Dartmouth, Hanover, NH (RW, AS, MRK); Maine Cancer Registry, Augusta, ME (MS, CC [formerly]); US Geological Survey, Pembroke, NH (JA), Reston, VA (GR); Colorado State University, Fort Collins, CO (JN); Dartmouth College, Hanover, NH (BJ); Information Management Services, Calverton, MD (AT); New Hampshire State Cancer Registry, Concord, NH (GMH); New Hampshire State Occupational Surveillance Program, Concord, NH (KRA); Vermont Department of Health, Burlington, VT (RM, AJ).
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Neta G, Stewart PA, Rajaraman P, Hein MJ, Waters MA, Purdue MP, Samanic C, Coble JB, Linet MS, Inskip PD. Occupational exposure to chlorinated solvents and risks of glioma and meningioma in adults. Occup Environ Med 2012; 69:793-801. [PMID: 22864249 PMCID: PMC3850418 DOI: 10.1136/oemed-2012-100742] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [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] [Indexed: 11/03/2022]
Abstract
OBJECTIVES Chlorinated solvents are classified as probable or possible carcinogens. It is unknown whether exposure to these agents increases the risk of malignant or benign brain tumours. Our objective was to evaluate associations of brain tumour risk with occupational exposure to six chlorinated solvents (i.e., dichloromethane, chloroform, carbon tetrachloride, 1,1,1-trichloroethane, trichloroethylene and perchloroethylene). METHODS 489 glioma cases, 197 meningioma cases and 799 controls were enrolled in a hospital-based case-control study conducted at three U.S.A. hospitals in Arizona, Massachusetts and Pennsylvania. Information about occupational history was obtained through a detailed inperson interview that included job-specific modules of questions such that the interview was tailored to each individual's particular work history. An industrial hygienist assessed potential solvent exposure based on this information and an exhaustive review of the relevant industrial hygiene literature. Unconditional logistic regression models were used to calculate OR and 95% CI for each solvent for ever/never, duration, cumulative, average weekly and highest exposure. RESULTS Overall, we found no consistent evidence of an increased risk of glioma or meningioma related to occupational exposure to the six chlorinated solvents evaluated. There was some suggestion of an association between carbon tetrachloride and glioma in analyses restricted to exposed subjects, with average weekly exposure above the median associated with increased risk compared with below the median exposure (OR = 7.1, 95% CI 1.1 to 45.2). CONCLUSIONS We found no consistent evidence for increased brain tumour risk related to chlorinated solvents.
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Affiliation(s)
- Gila Neta
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, EPS, Room 7092, 6120 Executive Boulevard, Bethesda, MD 20852-7244, USA.
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7
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Alguacil J, Kogevinas M, Silverman DT, Malats N, Real FX, García-Closas M, Tardón A, Rivas M, Torà M, García-Closas R, Serra C, Carrato A, Pfeiffer RM, Fortuny J, Samanic C, Rothman N. Urinary pH, cigarette smoking and bladder cancer risk. Carcinogenesis 2011; 32:843-7. [PMID: 21402590 DOI: 10.1093/carcin/bgr048] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [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] [Indexed: 11/14/2022] Open
Abstract
Glucuronide conjugates of 4-aminobiphenyl and its N-hydroxy metabolite can be rapidly hydrolyzed in acidic urine to undergo further metabolic activation and form DNA adducts in the urothelium. We conducted a large multicenter case-control study in Spain to explore the etiology of bladder cancer and evaluated the association between urine pH and bladder cancer risk, alone and in combination with cigarette smoking. In total, 712 incident urothelial cell carcinoma cases and 611 hospital controls directly measured their urine pH with dipsticks twice a day (first void in the morning and early in the evening) during four consecutive days 2 weeks after hospital discharge. We found that a consistently acidic urine pH ≤6.0 was associated with an increased risk of bladder cancer [odds ratio (OR) = 1.5, 95% confidence interval (CI): 1.2-1.9] compared with all other subjects. Furthermore, risk estimates for smoking intensity and risk of bladder cancer among current smokers tended to be higher for those with a consistently acidic urine (OR = 8.8, 11.5 and 23.8) compared with those without (OR = 4.3, 7.7 and 5.8, respectively, for 1-19, 20-29 and 30+ cigarettes per day; P(interaction) for 30+ cigarettes per day = 0.024). These results suggest that urine pH, which is determined primarily by diet and body surface area, may be an important modifier of smoking and risk of bladder cancer.
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Affiliation(s)
- Juan Alguacil
- Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Bethesda, MD 20892, USA.
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8
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Cantor KP, Villanueva CM, Silverman DT, Figueroa JD, Real FX, Garcia-Closas M, Malats N, Chanock S, Yeager M, Tardon A, Garcia-Closas R, Serra C, Carrato A, Castaño-Vinyals G, Samanic C, Rothman N, Kogevinas M. Polymorphisms in GSTT1, GSTZ1, and CYP2E1, disinfection by-products, and risk of bladder cancer in Spain. Environ Health Perspect 2010; 118:1545-50. [PMID: 20675267 PMCID: PMC2974691 DOI: 10.1289/ehp.1002206] [Citation(s) in RCA: 153] [Impact Index Per Article: 10.9] [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: 03/24/2010] [Revised: 06/21/2010] [Accepted: 07/30/2010] [Indexed: 05/19/2023]
Abstract
BACKGROUND Bladder cancer has been linked with long-term exposure to disinfection by-products (DBPs) in drinking water. OBJECTIVES In this study we investigated the combined influence of DBP exposure and polymorphisms in glutathione S-transferase (GSTT1, GSTZ1) and cytochrome P450 (CYP2E1) genes in the metabolic pathways of selected by-products on bladder cancer in a hospital-based case-control study in Spain. METHODS Average exposures to trihalomethanes (THMs; a surrogate for DBPs) from 15 years of age were estimated for each subject based on residential history and information on municipal water sources among 680 cases and 714 controls. We estimated effects of THMs and GSTT1, GSTZ1, and CYP2E1 polymorphisms on bladder cancer using adjusted logistic regression models with and without interaction terms. RESULTS THM exposure was positively associated with bladder cancer: adjusted odds ratios (ORs) and 95% confidence intervals (CIs) were 1.2 (0.8-1.8), 1.8 (1.1-2.9), and 1.8 (0.9-3.5) for THM quartiles 2, 3, and 4, respectively, relative to quartile 1. Associations between THMs and bladder cancer were stronger among subjects who were GSTT1 +/+ or +/- versus GSTT1 null (P(interaction) = 0.021), GSTZ1 rs1046428 CT/TT versus CC (P(interaction) = 0.018), or CYP2E1 rs2031920 CC versus CT/TT (P(interaction) = 0.035). Among the 195 cases and 192 controls with high-risk forms of GSTT1 and GSTZ1, the ORs for quartiles 2, 3, and 4 of THMs were 1.5 (0.7-3.5), 3.4 (1.4-8.2), and 5.9 (1.8-19.0), respectively. CONCLUSIONS Polymorphisms in key metabolizing enzymes modified DBP-associated bladder cancer risk. The consistency of these findings with experimental observations of GSTT1, GSTZ1, and CYP2E1 activity strengthens the hypothesis that DBPs cause bladder cancer and suggests possible mechanisms as well as the classes of compounds likely to be implicated.
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Affiliation(s)
- Kenneth P Cantor
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland 20892-7240, USA.
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9
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Colt JS, Karagas MR, Schwenn M, Baris D, Johnson A, Stewart P, Verrill C, Moore LE, Lubin J, Ward MH, Samanic C, Rothman N, Cantor KP, Beane Freeman LE, Schned A, Cherala S, Silverman DT. Occupation and bladder cancer in a population-based case-control study in Northern New England. Occup Environ Med 2010; 68:239-49. [PMID: 20864470 DOI: 10.1136/oem.2009.052571] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
OBJECTIVES We used data from a large, population-based case-control study in Maine, New Hampshire, and Vermont to examine relationships between occupation, industry and bladder cancer risk. METHODS Lifetime occupational histories were obtained by personal interview from 1158 patients newly diagnosed with urothelial carcinoma of the bladder in 2001-2004, and from 1402 population controls. Unconditional logistic regression was used to calculate ORs and 95% CIs, adjusted for demographic factors, smoking and employment in other high-risk occupations. RESULTS Male precision metalworkers and metalworking/plasticworking machine operators had significantly elevated risks and significant trends in risk with duration of employment (precision metalworkers: OR 2.2, 95% CI 1.4 to 3.4, p(trend) = 0.0065; metalworking/plasticworking machine operators: OR 1.6, 95% CI 1.01 to 2.6, p(trend) = 0.047). Other occupations/industries for which risk increased significantly with duration of employment included: for men, textile machine operators, mechanics/repairers, automobile mechanics, plumbers, computer systems analysts, information clerks, and landscape industry workers; for women, service occupations, health services, cleaning and building services, management-related occupations, electronic components manufacturing and transportation equipment manufacturing. Men reporting use of metalworking fluids (MWF) had a significantly elevated bladder cancer risk (OR 1.7, 95% CI 1.1 to 2.5). CONCLUSIONS Our findings support the hypothesis that some component(s) of MWF may be carcinogenic to the bladder. Our results also corroborate many other previously reported associations between bladder cancer risk and various occupations. More detailed analyses using information from the study's job-specific questionnaires may help to identify MWF components that may be carcinogenic, and other bladder carcinogens associated with a variety of occupations.
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Affiliation(s)
- Joanne S Colt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland 20892-7240, USA.
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10
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Baris D, Karagas MR, Verrill C, Johnson A, Andrew AS, Marsit CJ, Schwenn M, Colt JS, Cherala S, Samanic C, Waddell R, Cantor KP, Schned A, Rothman N, Lubin J, Fraumeni JF, Hoover RN, Kelsey KT, Silverman DT. A case-control study of smoking and bladder cancer risk: emergent patterns over time. J Natl Cancer Inst 2009; 101:1553-61. [PMID: 19917915 DOI: 10.1093/jnci/djp361] [Citation(s) in RCA: 137] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Cigarette smoking is a well-established risk factor for bladder cancer. The effects of smoking duration, intensity (cigarettes per day), and total exposure (pack-years); smoking cessation; exposure to environmental tobacco smoke; and changes in the composition of tobacco and cigarette design over time on risk of bladder cancer are unclear. METHODS We examined bladder cancer risk in relation to smoking practices based on interview data from a large, population-based case-control study conducted in Maine, New Hampshire, and Vermont from 2001 to 2004 (N = 1170 urothelial carcinoma case patients and 1413 control subjects). We calculated odds ratios (ORs) and 95% confidence intervals (CIs) using unconditional logistic regression. To examine changes in smoking-induced bladder cancer risk over time, we compared odds ratios from New Hampshire residents in this study (305 case patients and 335 control subjects) with those from two case-control studies conducted in New Hampshire in 1994-1998 and in 1998-2001 (843 case patients and 1183 control subjects). RESULTS Regular and current cigarette smokers had higher risks of bladder cancer than never-smokers (for regular smokers, OR = 3.0, 95% CI = 2.4 to 3.6; for current smokers, OR = 5.2, 95% CI = 4.0 to 6.6). In New Hampshire, there was a statistically significant increasing trend in smoking-related bladder cancer risk over three consecutive periods (1994-1998, 1998-2001, and 2002-2004) among former smokers (OR = 1.4, 95% CI = 1.0 to 2.0; OR = 2.0, 95% CI = 1.4 to 2.9; and OR = 2.6, 95% CI = 1.7 to 4.0, respectively) and current smokers (OR = 2.9, 95% CI = 2.0 to 4.2; OR = 4.2, 95% CI = 2.8 to 6.3; OR = 5.5, 95% CI = 3.5 to 8.9, respectively) (P for homogeneity of trends over time periods = .04). We also observed that within categories of intensity, odds ratios increased approximately linearly with increasing pack-years smoked, but the slope of the increasing trend declined with increasing intensity. CONCLUSIONS Smoking-related risks of bladder cancer appear to have increased in New Hampshire since the mid-1990s. Based on our modeling of pack-years and intensity, smoking fewer cigarettes over a long time appears more harmful than smoking more cigarettes over a shorter time, for equal total pack-years of cigarettes smoked.
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Affiliation(s)
- Dalsu Baris
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20852, USA.
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11
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Silverman DT, Alguacil J, Rothman N, Real FX, Garcia-Closas M, Cantor KP, Malats N, Tardon A, Serra C, Garcia-Closas R, Carrato A, Lloreta J, Samanic C, Dosemeci M, Kogevinas M. Does increased urination frequency protect against bladder cancer? Int J Cancer 2008; 123:1644-8. [PMID: 18623081 DOI: 10.1002/ijc.23572] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Experimental studies suggest that increased urination frequency may reduce bladder cancer risk if carcinogens are present in the urine. Only 2 small studies of the effect of increased urination frequency on bladder cancer risk in humans have been conducted with conflicting results. Our purpose was to evaluate the effect of urination frequency on risk of bladder cancer in a large, multicenter case-control study. We analyzed data based on interviews conducted with 884 patients with newly diagnosed, bladder cancer and 996 controls from 1998 to 2001 in Spain. We observed a consistent, inverse trend in risk with increasing nighttime voiding frequency in both men (p = 0.0003) and women (p = 0.07); voiding at least 2 times per night was associated with a significant, 40-50% risk reduction. The protective effect of nocturia was apparent among study participants with low, moderate and high water consumption. The risk associated with cigarette smoking was reduced by nocturia. Compared with nonsmokers who did not urinate at night, current smokers who did not urinate at night had an OR of 7.0 (95% CI = 4.7-10.2), whereas those who voided at least twice per night had an OR of 3.3 (95% CI = 1.9-5.8) (p value for trend = 0.0005). Our findings suggest a strong protective effect of nocturia on bladder cancer risk, providing evidence in humans that bladder cancer risk is related to the contact time of the urothelium with carcinogens in urine. Increased urination frequency, coupled with possible dilution of the urine from increased water intake, may diminish the effect of urinary carcinogens on bladder cancer risk.
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Affiliation(s)
- Debra T Silverman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Bethesda, MD 20892, USA.
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Abstract
We investigated the relationship between agricultural pesticides and colorectal cancer incidence in the Agricultural Health Study. A total of 56,813 pesticide applicators with no prior history of colorectal cancer were included in this analysis. Detailed pesticide exposure and other information were obtained from self-administered questionnaires completed at the time of enrollment (1993-1997). Cancer incidence was determined through population-based cancer registries from enrollment through December 31, 2002. A total of 305 incident colorectal cancers (212 colon, 93 rectum) were diagnosed during the study period, 1993-2002. Although most of the 50 pesticides studied were not associated with colorectal cancer risk, chlorpyrifos use showed significant exposure response trend (p for trend = 0.008) for rectal cancer, rising to a 2.7-fold (95% confidence interval: 1.2-6.4) increased risk in the highest exposure category. Aldicarb was associated with a significantly increased risk of colon cancer (p for trend = 0.001), based on a small number of exposed cases, with the highest exposure category resulting in a 4.1-fold increased risk (95% confidence interval: 1.3-12.8). In contrast, dichlorophenoxyacetic acid showed a significant inverse association with colon cancer but the association was not monotonic. Our findings should be interpreted cautiously since the literature suggesting that pesticides are related to colorectal cancer is limited. Nonetheless the possibility of an association between exposure to certain pesticides and incidence of colorectal cancer among pesticide applicators deserves further evaluation.
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Affiliation(s)
- Won Jin Lee
- Department of Preventive Medicine, College of Medicine, Korea University, Seoul, Korea
| | - Dale P. Sandler
- Epidemiology Branch, National Institute for Environmental Health Sciences, Research Triangle Park, North Carolina, USA
| | - Aaron Blair
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Claudine Samanic
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Amanda J. Cross
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Michael C. R. Alavanja
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, Maryland, USA
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Samanic C, Chow WH, Gridley G, Jarvholm B, Fraumeni JF. Relation of body mass index to cancer risk in 362,552 Swedish men. Cancer Causes Control 2006; 17:901-9. [PMID: 16841257 DOI: 10.1007/s10552-006-0023-9] [Citation(s) in RCA: 291] [Impact Index Per Article: 16.2] [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: 08/11/2005] [Accepted: 03/13/2006] [Indexed: 01/03/2023]
Abstract
BACKGROUND Obesity has been linked with increased risk for cancers of the colon, kidney, breast, endometrium and gallbladder. For other cancer sites, the relationship with obesity is less well quantified, and the effect of weight change on cancer risk is unclear. METHODS We examined the health records of 362,552 Swedish men who underwent at least one physical examination from 1971 to 1992, and were followed until death or the end of 1999. Incident cancer cases were identified by linkage to the Swedish cancer registry. Poisson regression models were used to estimate relative risks of cancer for both body-mass index (BMI) at baseline exam and, in a subgroup of 107,815 men, change in BMI after six years of follow-up, adjusting for age and smoking status. RESULTS Compared to men of normal weight, obese men had a significantly increased risk of all cancers combined (RR = 1.1; 95% CI = 1.0-1.2). The risks were most pronounced for esophageal adenocarcinoma (RR = 2.7; 95% CI = 1.3-5.6), renal cell carcinoma (RR = 1.8; 95% CI = 1.4-2.4), malignant melanoma (RR = 1.4; 95% CI = 1.1-1.7), and cancers of the colon (RR = 1.7; 95% CI = 1.5-2.0), rectum (RR = 1.4; 95% CI = 1.1-1.7), and liver (RR = 3.6; 95% CI = 2.6-5.0). Risk of esophageal squamous cell carcinoma was elevated for underweight men whose BMI was less than 18.5 (RR = 3.1; 95% CI = 1.1-8.3). An excess risk for cancers of the pancreas and connective tissue was observed only among nonsmokers. Compared to men whose weight remained stable, men with more than a 15% increase in BMI after six years of follow-up had an elevated risk of pancreas and renal cell cancers. CONCLUSIONS Obesity and weight gain increase the risk for several forms of cancer in men, and underscore the need for further study into carcinogenic mechanisms and preventive interventions.
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Affiliation(s)
- Claudine Samanic
- Department of Health and Human Services, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, 6120 Executive Blvd., Room 8115, Bethesda, MD 20892, USA.
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Samanic C, Rusiecki J, Dosemeci M, Hou L, Hoppin JA, Sandler DP, Lubin J, Blair A, Alavanja MC. Cancer incidence among pesticide applicators exposed to dicamba in the agricultural health study. Environ Health Perspect 2006; 114:1521-6. [PMID: 17035136 PMCID: PMC1626435 DOI: 10.1289/ehp.9204] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2006] [Accepted: 07/13/2006] [Indexed: 05/12/2023]
Abstract
BACKGROUND Dicamba is an herbicide commonly applied to crops in the United States and abroad. We evaluated cancer incidence among pesticide applicators exposed to dicamba in the Agricultural Health Study, a prospective cohort of licensed pesticide applicators in North Carolina and Iowa. METHODS Detailed pesticide exposure information was obtained through a self-administered questionnaire completed from 1993 to 1997. Cancer incidence was followed through 31 December 2002 by linkage to state cancer registries. We used Poisson regression to estimate rate ratios and 95% confidence intervals for cancer subtypes by tertiles of dicamba exposure. Two dicamba exposure metrics were used: lifetime exposure days and intensity-weighted lifetime exposure days (lifetime days x intensity score). RESULTS A total of 41,969 applicators were included in the analysis, and 22,036 (52.5%) reported ever using dicamba. Exposure was not associated with overall cancer incidence nor were there strong associations with any specific type of cancer. When the reference group comprised low-exposed applicators, we observed a positive trend in risk between lifetime exposure days and lung cancer (p = 0.02), but none of the individual point estimates was significantly elevated. We also observed significant trends of increasing risk for colon cancer for both lifetime exposure days and intensity-weighted lifetime days, although these results are largely due to elevated risk at the highest exposure level. There was no apparent risk for non-Hodgkin lymphoma. CONCLUSIONS Although associations between exposure and lung and colon cancer were observed, we did not find clear evidence for an association between dicamba exposure and cancer risk.
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Affiliation(s)
- Claudine Samanic
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Jennifer Rusiecki
- Uniformed Services University of the Health Sciences, Department of Preventive Medicine and Biometrics, Bethesda, Maryland, USA
| | - Mustafa Dosemeci
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Lifang Hou
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Jane A. Hoppin
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, 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
| | - Jay Lubin
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Aaron Blair
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
| | - Michael C.R. Alavanja
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland, USA
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Samanic C, Kogevinas M, Dosemeci M, Malats N, Real FX, Garcia-Closas M, Serra C, Carrato A, García-Closas R, Sala M, Lloreta J, Tardón A, Rothman N, Silverman DT. Smoking and bladder cancer in Spain: effects of tobacco type, timing, environmental tobacco smoke, and gender. Cancer Epidemiol Biomarkers Prev 2006; 15:1348-54. [PMID: 16835335 DOI: 10.1158/1055-9965.epi-06-0021] [Citation(s) in RCA: 120] [Impact Index Per Article: 6.7] [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] [Indexed: 01/11/2023] Open
Abstract
We examined the effects of dose, type of tobacco, cessation, inhalation, and environmental tobacco smoke exposure on bladder cancer risk among 1,219 patients with newly diagnosed bladder cancer and 1,271 controls recruited from 18 hospitals in Spain. We used unconditional logistic regression to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for the association between bladder cancer risk and various characteristics of cigarette smoking. Current smokers (men: OR, 7.4; 95% CI, 5.3-10.4; women: OR, 5.1; 95% CI, 1.6-16.4) and former smokers (men: OR, 3.8; 95% CI, 2.8-5.3; women: OR, 1.8; 95% CI, 0.5-7.2) had significantly increased risks of bladder cancer compared with nonsmokers. We observed a significant positive trend in risk with increasing duration and amount smoked. After adjustment for duration, risk was only 40% higher in smokers of black tobacco than that in smokers of blond tobacco (OR, 1.4; 95% CI, 0.98-2.0). Compared with risk in current smokers, a significant inverse trend in risk with increasing time since quitting smoking blond tobacco was observed (> or =20 years cessation: OR, 0.2; 95% CI, 0.1-0.9). No trend in risk with cessation of smoking black tobacco was apparent. Compared with men who inhaled into the mouth, risk increased for men who inhaled into the throat (OR, 1.7; 95% CI, 1.1-2.6) and chest (OR, 1.5; 95% CI, 1.1-2.1). Cumulative occupational exposure to environmental tobacco smoke seemed to confer increased risk among female nonsmokers but not among male nonsmokers. After eliminating the effect of cigarette smoking on bladder cancer risk in our study population, the male-to-female incidence ratio decreased from 8.2 to 1.7, suggesting that nearly the entire male excess of bladder cancer observed in Spain is explained by cigarette smoking rather than occupational/environmental exposures to other bladder carcinogens.
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Affiliation(s)
- Claudine Samanic
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Bethesda, MD 20892, USA.
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Samanic C, Kogevinas M, Dosemeci M, Malats N, Real F, Garcia-Closas M, Serra C, Carrato A, Garcia-Closas R, Sala M, Lloreta J, Tardon A, Rothman N, Silverman D. Smoking and Bladder Cancer in Spain: Effects of tobacco Type, Timing, Ets and Gender. Am J Epidemiol 2006. [DOI: 10.1093/aje/163.suppl_11.s110-a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Rusiecki JA, Hou L, Lee WJ, Blair A, Dosemeci M, Lubin JH, Bonner M, Samanic C, Hoppin JA, Sandler DP, Alavanja MCR. Cancer incidence among pesticide applicators exposed to metolachlor in the Agricultural Health Study. Int J Cancer 2006; 118:3118-23. [PMID: 16425265 DOI: 10.1002/ijc.21758] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.8] [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] [Indexed: 12/22/2022]
Abstract
Metolachlor is one of the most widely used herbicides in the United States. We evaluated the incidence of cancer among pesticide applicators exposed to metolachlor in the Agricultural Health Study, a prospective cohort study of licensed pesticide applicators in Iowa and North Carolina. A total of 50,193 pesticide applicators were included. Detailed information on pesticide exposure and lifestyle factors was obtained from self-administered enrollment questionnaires completed between 1993 and 1997; average length of follow-up was 7.33 years. Two metolachlor exposure metrics were used : (i) lifetime days personally mixed or applied metolachlor and (ii) intensity-weighted lifetime days (lifetime days x an intensity level). Poisson regression analysis was used to estimate relative risks (RR) and 95% confidence intervals (95%CI) for cancer subtypes by tertiles of metolachlor exposure. No clear risk for any cancer subtype was found for exposure to metolachlor. A significantly decreased RR was found for prostate cancer in the highest category of lifetime days exposure (RR = 0.59; 95%CI, 0.39-0.89) and in the second highest category of intensity-weighted lifetime days exposure (RR = 0.66; 95%CI, 0.45-0.97); however, the test for trend was not significant for either exposure metric. A nonsignificantly increased risk was found for lung cancer with lifetime days exposure in the highest category (RR = 2.37; 95%CI, 0.97-5.82, p-trend = 0.03) but not with intensity-weighted lifetime days. Given the widespread use of metolachlor and the frequent detection of metolachlor in both surface and ground water, future analyses of the AHS will allow further examination of long-term health effects, including lung cancer and the less common cancers.
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Affiliation(s)
- Jennifer A Rusiecki
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD 20892, USA
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Hou L, Lee WJ, Rusiecki J, Hoppin JA, Blair A, Bonner MR, Lubin JH, Samanic C, Sandler DP, Dosemeci M, Alavanja MCR. Pendimethalin exposure and cancer incidence among pesticide applicators. Epidemiology 2006; 17:302-7. [PMID: 16452832 PMCID: PMC1513643 DOI: 10.1097/01.ede.0000201398.82658.50] [Citation(s) in RCA: 47] [Impact Index Per Article: 2.6] [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] [Indexed: 11/26/2022]
Abstract
BACKGROUND Pendimethalin, a widely used herbicide, has been classified as a group C possible human carcinogen by the U.S. Environmental Protection Agency. We evaluated the incidence of cancer in relation to reported pendimethelin use among pesticide applicators in the Agricultural Health Study, a prospective cohort of licensed pesticide applicators in Iowa and North Carolina. METHODS Information on pesticide use came from two questionnaires (enrollment and take-home). The present analysis includes 9089 pendimethalin-exposed and 15,285 nonpendimethalin-exposed pesticide applicators with complete information on pendimethalin use and covariates from a take-home questionnaire. We conducted Poisson regression analyses to evaluate the association of pendimethalin exposure with cancer incidence (mean follow-up = 7.5 years) using two exposure metrics: tertiles of lifetime days of exposure and tertiles of intensity-weighted lifetime days of exposure. RESULTS Overall cancer incidence did not increase with increasing lifetime pendimethalin use, and there was no clear evidence of an association between pendimethalin use and risks for specific cancers. The risk for rectal cancer rose with increasing lifetime pendimethalin exposure when using nonexposed as the reference (rate ratio = 4.3; 95% confidence interval = 1.5-12.7 for the highest exposed subjects; P for trend = 0.007), but the association was attenuated when using the low exposed as the referent group (P for trend = 0.08). Similar patterns for rectal cancer were observed when using intensity-weighted exposure-days. The number of rectal cancer cases among the pendimethalin-exposed was small (n = 19). There was some evidence for an elevated risk for lung cancer, but the excess occurred only in the highest exposure category for lifetime pendimethalin exposure. The trends for lung cancer risk were inconsistent for different exposure metrics. CONCLUSIONS We did not find a clear association of lifetime pendimethalin exposure either with overall cancer incidence or with specific cancer sites.
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Affiliation(s)
- Lifang Hou
- From the 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; the
| | - Won Jin Lee
- From the 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; the
- Department of Preventive Medicine, College of Medicine, Korea University, Seoul, South Korea
| | - Jennifer Rusiecki
- From the 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; the
| | - Jane A. Hoppin
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC; the
| | - Aaron Blair
- From the 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; the
| | - Matthew R. Bonner
- From the 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; the
| | - Jay H. Lubin
- Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD; and the
| | - Claudine Samanic
- From the 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; the
| | - 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; the
| | - Mustafa Dosemeci
- From the 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; the
| | - Michael C. R. Alavanja
- From the 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; the
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García-Closas M, Malats N, Silverman D, Dosemeci M, Kogevinas M, Hein DW, Tardón A, Serra C, Carrato A, García-Closas R, Lloreta J, Castaño-Vinyals G, Yeager M, Welch R, Chanock S, Chatterjee N, Wacholder S, Samanic C, Torà M, Fernández F, Real FX, Rothman N. NAT2 slow acetylation, GSTM1 null genotype, and risk of bladder cancer: results from the Spanish Bladder Cancer Study and meta-analyses. Lancet 2005; 366:649-59. [PMID: 16112301 PMCID: PMC1459966 DOI: 10.1016/s0140-6736(05)67137-1] [Citation(s) in RCA: 439] [Impact Index Per Article: 23.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Many reported associations between common genetic polymorphisms and complex diseases have not been confirmed in subsequent studies. An exception could be the association between NAT2 slow acetylation, GSTM1 null genotype, and bladder-cancer risk. However, current evidence is based on meta-analyses of relatively small studies (range 23-374 cases) with some evidence of publication bias and study heterogeneity. Associations between polymorphisms in other NAT and GST genes and bladder-cancer risk have been inconsistent. METHODS We investigated polymorphisms in NAT2, GSTM1, NAT1, GSTT1, GSTM3, and GSTP1 in 1150 patients with transitional-cell carcinoma of the urinary bladder and 1149 controls in Spain; all the participants were white. We also carried out meta-analyses of NAT2, GSTM1, and bladder cancer that included more than twice as many cases as in previous reports. FINDINGS In our study, the odds ratios for bladder cancer for individuals with deletion of one or two copies of the GSTM1 gene were 1.2 (95% CI 0.8-1.7) and 1.9 (1.4-2.7) respectively (p for trend <0.0001). Compared with NAT2 rapid or intermediate acetylators, NAT2 slow acetylators had an increased overall risk of bladder cancer (1.4 [1.2-1.7]) that was stronger for cigarette smokers than for never smokers (p for interaction 0.008). No significant associations were found with the other polymorphisms. Meta-analyses showed that the overall association for NAT2 was robust (p<0.0001), and case-only meta-analyses provided support for an interaction between NAT2 and smoking (p for interaction 0.009). The overall association for GSTM1 was also robust (p<0.0001) and was not modified by smoking status (p=0.86). INTERPRETATION The GSTM1 null genotype increases the overall risk of bladder cancer, and the NAT2 slow-acetylator genotype increases risk particularly among cigarette smokers. These findings provide compelling evidence for the role of common polymorphisms in the aetiology of cancer. RELEVANCE TO PRACTICE Although the relative risks are modest, these polymorphisms could account for up to 31% of bladder cancers because of their high prevalence.
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Affiliation(s)
- Montserrat García-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Department of Health and Human Services, Bethesda, MD 20852-7234, USA.
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Samanic C, Hoppin JA, Lubin JH, Blair A, Alavanja MCR. Factor analysis of pesticide use patterns among pesticide applicators in the Agricultural Health Study. J Expo Anal Environ Epidemiol 2005; 15:225-33. [PMID: 15280893 DOI: 10.1038/sj.jea.7500396] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Exposure to certain pesticides has been linked with both acute and chronic adverse health outcomes such as neurotoxicity and risk for certain cancers. Univariate analyses of pesticide exposures may not capture the complexity of these exposures since use of various pesticides often occurs simultaneously, and because specific uses have changed over time. Using data from the Agricultural Health Study, a cohort study of 89,658 licensed pesticide applicators and their spouses in Iowa and North Carolina, we employed factor analysis to order to characterize underlying patterns of self-reported exposures to 50 different pesticides. Factor analysis is a statistical method used to explain the relationships between several correlated variables by reducing them to a smaller number of conceptually meaningful, composite variables, known as factors. Three factors emerged for farmer applicators (N=45,074): (1) Iowa agriculture and herbicide use, (2) North Carolina agriculture and use of insecticides, fumigants and fungicides, and (3) older age and use of chlorinated pesticides. The patterns observed for spouses of farmers (N=17,488) were similar to those observed for the farmers themselves, whereas five factors emerged for commercial pesticide applicators (N=4,384): (1) herbicide use, (2) older age and use of chlorinated pesticides, (3) use of fungicides and residential pest treatments, (4) use of animal insecticides, and (5) use of fumigants. Pesticide exposures did not correlate with lifestyle characteristics such as race, smoking status or education. This heterogeneity in exposure patterns may be used to guide etiologic studies of health effects of farmers and other groups exposed to pesticides.
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Affiliation(s)
- Claudine Samanic
- National Cancer Institute, Division of Cancer Epidemiology & Genetics, Bethesda, Maryland, USA.
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Blair A, Sandler DP, Tarone R, Lubin J, Thomas K, Hoppin JA, Samanic C, Coble J, Kamel F, Knott C, Dosemeci M, Zahm SH, Lynch CF, Rothman N, Alavanja MCR. Mortality among Participants in the Agricultural Health Study. Ann Epidemiol 2005; 15:279-85. [PMID: 15780775 DOI: 10.1016/j.annepidem.2004.08.008] [Citation(s) in RCA: 79] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2004] [Accepted: 08/18/2004] [Indexed: 11/17/2022]
Abstract
PURPOSE This analysis of the Agricultural Health Study cohort assesses the mortality experience of licensed pesticide applicators and their spouses. METHODS This report is based on 52,393 private applicators (who are mostly farmers) and 32,345 spouses of farmers in Iowa and North Carolina. At enrollment, each pesticide applicator completed a 21-page enrollment questionnaire. Mortality assessment from enrollment (1994-1997) through 2000 provided an average follow-up of about 5.3 years, 447,154 person-years, and 2055 deaths. RESULTS Compared with the general population in the two states, the cohort experienced a very low mortality rate. Standardized mortality ratios (SMRs) for total mortality, cardiovascular disease, diabetes, COPD, total cancer, and cancers of the esophagus, stomach, and lung were 0.6 or lower for both farmers and spouses. These deficits varied little by farm size, type of crops or livestock on the farm, years of handling pesticides, holding a non-farm job, or length of follow up. SMRs among ever smokers were not as low as among never smokers, but were still less than 1.0 for all smoking-related causes of death. No statistically significant excesses occurred, but slightly elevated SMRs, or those near 1.0, were noted for diseases that have been associated with farming in previous studies. CONCLUSIONS Several factors may contribute to the low mortality observed in this population, including the healthy worker effect typically seen in cohorts of working populations (which may decline in future years), a short follow-up interval, and a healthier lifestyle manifested through lower cigarette use and an occupation that has traditionally required high levels of physical activity.
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Affiliation(s)
- Aaron Blair
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.
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Engel LS, Hill DA, Hoppin JA, Lubin JH, Lynch CF, Pierce J, Samanic C, Sandler DP, Blair A, Alavanja MC. Pesticide use and breast cancer risk among farmers' wives in the agricultural health study. Am J Epidemiol 2005; 161:121-35. [PMID: 15632262 DOI: 10.1093/aje/kwi022] [Citation(s) in RCA: 123] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The authors examined the association between pesticide use and breast cancer incidence among farmers' wives in a large prospective cohort study in Iowa and North Carolina. Participants were 30,454 women with no history of breast cancer prior to cohort enrollment in 1993-1997. Information on pesticide use and other information was obtained by self-administered questionnaire at enrollment from the women and their husbands. Through 2000, 309 incident breast cancer cases were identified via population-based cancer registries. Rate ratios were calculated for individual pesticides using Poisson regression, controlling for confounding factors. Breast cancer standardized incidence ratios were 0.87 (95% confidence interval: 0.74, 1.02) for women who reported ever applying pesticides and 1.05 (95% confidence interval: 0.89, 1.24) for women who reported never applying pesticides. There was some evidence of increased risk associated with use of 2,4,5-trichloro-phenoxypropionic acid (2,4,5-TP) and possibly use of dieldrin, captan, and 2,4,5-trichlorophenoxyacetic acid (2,4,5-TP), but small numbers of cases among those who had personally used the pesticides precluded firm conclusions. The authors found no clear association of breast cancer risk with farm size or washing of clothes worn during pesticide application, but risk was modestly elevated among women whose homes were closest to areas of pesticide application. Further follow-up of this cohort should help clarify the relation between pesticide exposure and breast cancer risk.
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Affiliation(s)
- Lawrence S Engel
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
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Kirrane EF, Hoppin JA, Umbach DM, Samanic C, Sandler DP. Patterns of pesticide use and their determinants among wives of farmer pesticide applicators in the Agricultural Health Study. J Occup Environ Med 2004; 46:856-65. [PMID: 15300138 DOI: 10.1097/01.jom.0000135521.15169.3e] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Pesticide exposure among farmers' wives is poorly characterized. Using questionnaire data from a cohort study of licensed pesticide applicators and their spouses, we investigated patterns of pesticide use among farmers' wives (n = 31,173). Wives reported a wide range of pesticide use: 36% never used pesticides during their lifetimes, whereas the heaviest pesticide users (10%) reported lifetime use of 3 or more agricultural pesticides plus commonly used residential pesticides. We identified 5 ordinal pesticide-use categories and studied factors associated with each category through polytomous logistic regression. Engaging in field work and household hygiene practices that could increase exposure were associated with pesticide use, and associations appeared to strengthen with increasing pesticide use category. Farm women reporting the heaviest pesticide use could exacerbate their exposure by engaging in practices that could increase pesticide contact.
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Alavanja MCR, Dosemeci M, Samanic C, Lubin J, Lynch CF, Knott C, Barker J, Hoppin JA, Sandler DP, Coble J, Thomas K, Blair A. Pesticides and lung cancer risk in the agricultural health study cohort. Am J Epidemiol 2004; 160:876-85. [PMID: 15496540 DOI: 10.1093/aje/kwh290] [Citation(s) in RCA: 167] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The authors examined the relation between 50 widely used agricultural pesticides and lung cancer incidence in the Agricultural Health Study, a prospective cohort study of 57,284 pesticide applicators and 32,333 spouses of farmer applicators with no prior history of lung cancer. Self-administered questionnaires were completed at enrollment (1993-1997). Cancer incidence was determined through population-based cancer registries from enrollment through December 31, 2001. A lung cancer standardized incidence ratio of 0.44 (95% confidence interval: 0.39, 0.49) was observed overall, due in large part to a low cigarette smoking prevalence. Two widely used herbicides, metolachlor and pendimethalin (for low-exposed groups to four higher exposure categories: odds ratio (OR) = 1.0, 1.6, 1.2, 5.0; p(trend) = 0.0002; and OR = 1.0, 1.6, 2.1, 4.4; p(trend) = 0.003, respectively), and two widely used insecticides, chlorpyrifos and diazinon (OR = 1.0, 1.1, 1.7, 1.9; p(trend) = 0.03; and OR = 1.0, 1.6, 2.7, 3.7; p(trend) = 0.04, respectively), showed some evidence of exposure response for lung cancer. These excesses could not be explained by previously identified lung cancer risk factors. The usage levels in this cohort are considerably higher than those typically experienced by the general population. An excess risk among spouses directly exposed to pesticides could not be evaluated at this time.
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Affiliation(s)
- Michael C R Alavanja
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20892, USA.
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Hou L, Lee WJ, Rusiecki J, Hoppin JA, Blair A, Bonner M, Lubin JH, Samanic C, Sandler DP, Dosemeci M, Alavanja MC. Pendimethalin exposure and cancer risk among pesticide applicators: a report from the U.S.-based agricultural health study. Ann Epidemiol 2004. [DOI: 10.1016/j.annepidem.2004.07.046] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Abstract
BACKGROUND Obesity has been linked to excess risk for many cancers, but the evidence remains tenuous for some types. Although the prevalence of obesity varies by race, few studies of obesity-related cancer risk have included non-white subjects. METHODS In a large cohort of male US veterans (3,668,486 whites; 832,214 blacks) hospitalized with a diagnosis of obesity between 1969 and 1996, we examined risk for all major cancer sites and subsites. Person-years accrued from the date of first obesity diagnosis until the occurrence of a first cancer, death, or the end of the observation period (September 30, 1996). We calculated age- and calendar-year adjusted relative risks (RR) and 95% confidence intervals (CI) for cancer among white and black veterans, comparing obese men to men hospitalized for other reasons, with obesity status as time-dependent. For selected cancers, we performed additional analyses stratified by specific medical conditions related to both obesity and risk of those cancers. To determine whether obesity-related cancer risks differed significantly between white and black men, we evaluated heterogeneity of risk for each cancer site. RESULTS Among white veterans, risk was significantly elevated for several cancers, including cancers of the lower esophagus, gastric cardia, small intestine, colon, rectum, gallbladder and ampulla of vater, male breast, prostate, bladder, thyroid, and connective tissue, and for malignant melanoma, multiple myeloma, chronic lymphocytic leukemia (CLL), and acute myeloid leukemia (AML). Excess risks initially observed for cancers of the liver and pancreas persisted among men without a history of diabetes or alcoholism. Among black veterans, risks were significantly elevated for cancers of the colon, extrahepatic bile ducts, prostate, thyroid, and for malignant melanoma, multiple myeloma, CLL and AML. CONCLUSIONS Obese men are at increased risk for several major cancers as well as a number of uncommon malignancies, a pattern generally similar for white and black men. Due to the increasing prevalence of obesity and overweight worldwide, it is important to clarify the impact of excess body weight on cancer and to elucidate the mechanisms involved.
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Affiliation(s)
- Claudine Samanic
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, 6120 Executive Boulevard, Room 8115, Bethesda, MD 20892, USA.
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Alavanja MCR, Samanic C, Dosemeci M, Lubin J, Tarone R, Lynch CF, Knott C, Thomas K, Hoppin JA, Barker J, Coble J, Sandler DP, Blair A. Use of agricultural pesticides and prostate cancer risk in the Agricultural Health Study cohort. Am J Epidemiol 2003; 157:800-14. [PMID: 12727674 DOI: 10.1093/aje/kwg040] [Citation(s) in RCA: 233] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The authors examined the relation between 45 common agricultural pesticides and prostate cancer incidence in a prospective cohort study of 55,332 male pesticide applicators from Iowa and North Carolina with no prior history of prostate cancer. Data were collected by means of self-administered questionnaires completed at enrollment (1993-1997). Cancer incidence was determined through population-based cancer registries from enrollment through December 31, 1999. A prostate cancer standardized incidence ratio was computed for the cohort. Odds ratios were computed for individual pesticides and for pesticide use patterns identified by means of factor analysis. A prostate cancer standardized incidence ratio of 1.14 (95% confidence interval: 1.05, 1.24) was observed for the Agricultural Health Study cohort. Use of chlorinated pesticides among applicators over 50 years of age and methyl bromide use were significantly associated with prostate cancer risk. Several other pesticides showed a significantly increased risk of prostate cancer among study subjects with a family history of prostate cancer but not among those with no family history. Important family history-pesticide interactions were observed.
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Affiliation(s)
- Michael C R Alavanja
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20892, USA.
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Blair A, Tarone R, Sandler D, Lynch CF, Rowland A, Wintersteen W, Steen WC, Samanic C, Dosemeci M, Alavanja MCR. Reliability of reporting on life-style and agricultural factors by a sample of participants in the Agricultural Health Study from Iowa. Epidemiology 2002; 13:94-9. [PMID: 11805592 DOI: 10.1097/00001648-200201000-00015] [Citation(s) in RCA: 163] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
Repeat interviews from 4,088 Iowa pesticide applicators participating in the Agricultural Health Study provided the opportunity to evaluate the reliability of self-reported information on pesticide use and various demographic and life-style factors. Self-completed questionnaires were administered 1 year apart when participants returned to county agricultural extension offices for pesticide certification or training. Percentage agreement for ever-/never-use of specific pesticides and application practices was quite high, generally ranging from 70% to more than 90%, and did not vary by age, educational level, or farm size. Agreement was lower (typically 50-60%) for duration, frequency, or decade of first use of specific pesticides. Level of agreement regarding pesticide use in this population is similar to that generally found for factors typically used in epidemiologic studies such as tobacco use and higher than typically reported for diet, physical activity, and medical conditions.
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Affiliation(s)
- Aaron Blair
- Division of Cancer Epidemiology and Gentics, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
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