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Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida

BACKGROUND: We sought to identify high-risk areas of pancreatic cancer incidence, and determine if clusters of persons diagnosed with pancreatic cancer were more likely to be located near arsenic-contaminated drinking water wells. METHODS: A total of 5,707 arsenic samples were collected from Decembe...

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Autores principales: Liu-Mares, Wen, MacKinnon, Jill A, Sherman, Recinda, Fleming, Lora E, Rocha-Lima, Caio, Hu, Jennifer J, Lee, David J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600048/
https://www.ncbi.nlm.nih.gov/pubmed/23510413
http://dx.doi.org/10.1186/1471-2407-13-111
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author Liu-Mares, Wen
MacKinnon, Jill A
Sherman, Recinda
Fleming, Lora E
Rocha-Lima, Caio
Hu, Jennifer J
Lee, David J
author_facet Liu-Mares, Wen
MacKinnon, Jill A
Sherman, Recinda
Fleming, Lora E
Rocha-Lima, Caio
Hu, Jennifer J
Lee, David J
author_sort Liu-Mares, Wen
collection PubMed
description BACKGROUND: We sought to identify high-risk areas of pancreatic cancer incidence, and determine if clusters of persons diagnosed with pancreatic cancer were more likely to be located near arsenic-contaminated drinking water wells. METHODS: A total of 5,707 arsenic samples were collected from December 2000 to May 2008 by the Florida Department of Health, representing more than 5,000 individual privately owned wells. During that period, 0.010 ppm (10 ppb) or greater arsenic levels in private well water were considered as the threshold based on standard of United States Environmental Protection Agency (EPA). Spatial modeling was applied to pancreatic cancer cases diagnosed between 1998–2002 in Florida (n = 11,405). Multivariable logistic regression was used to determine if sociodemographic indicators, smoking history, and proximity to arsenic-contaminated well sites were associated with residence at the time of pancreatic cancer diagnosis occurring within versus outside a cluster. RESULTS: Spatial modeling identified 16 clusters in which 22.6% of all pancreatic cancer cases were located. Cases living within 1 mile of known arsenic-contaminated wells were significantly more likely to be diagnosed within a cluster of pancreatic cancers relative to cases living more than 3 miles from known sites (odds ratio = 2.1 [95% CI = 1.9, 2.4]). CONCLUSIONS: Exposure to arsenic-contaminated drinking water wells may be associated with an increased risk of pancreatic cancer. However, case–control studies are needed in order to confirm the findings of this ecological analysis. These cluster areas may be appropriate to evaluate pancreatic cancer risk factors, and to perform targeted screening and prevention studies.
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spelling pubmed-36000482013-03-18 Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida Liu-Mares, Wen MacKinnon, Jill A Sherman, Recinda Fleming, Lora E Rocha-Lima, Caio Hu, Jennifer J Lee, David J BMC Cancer Research Article BACKGROUND: We sought to identify high-risk areas of pancreatic cancer incidence, and determine if clusters of persons diagnosed with pancreatic cancer were more likely to be located near arsenic-contaminated drinking water wells. METHODS: A total of 5,707 arsenic samples were collected from December 2000 to May 2008 by the Florida Department of Health, representing more than 5,000 individual privately owned wells. During that period, 0.010 ppm (10 ppb) or greater arsenic levels in private well water were considered as the threshold based on standard of United States Environmental Protection Agency (EPA). Spatial modeling was applied to pancreatic cancer cases diagnosed between 1998–2002 in Florida (n = 11,405). Multivariable logistic regression was used to determine if sociodemographic indicators, smoking history, and proximity to arsenic-contaminated well sites were associated with residence at the time of pancreatic cancer diagnosis occurring within versus outside a cluster. RESULTS: Spatial modeling identified 16 clusters in which 22.6% of all pancreatic cancer cases were located. Cases living within 1 mile of known arsenic-contaminated wells were significantly more likely to be diagnosed within a cluster of pancreatic cancers relative to cases living more than 3 miles from known sites (odds ratio = 2.1 [95% CI = 1.9, 2.4]). CONCLUSIONS: Exposure to arsenic-contaminated drinking water wells may be associated with an increased risk of pancreatic cancer. However, case–control studies are needed in order to confirm the findings of this ecological analysis. These cluster areas may be appropriate to evaluate pancreatic cancer risk factors, and to perform targeted screening and prevention studies. BioMed Central 2013-03-12 /pmc/articles/PMC3600048/ /pubmed/23510413 http://dx.doi.org/10.1186/1471-2407-13-111 Text en Copyright ©2013 Liu-Mares et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Liu-Mares, Wen
MacKinnon, Jill A
Sherman, Recinda
Fleming, Lora E
Rocha-Lima, Caio
Hu, Jennifer J
Lee, David J
Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida
title Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida
title_full Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida
title_fullStr Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida
title_full_unstemmed Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida
title_short Pancreatic cancer clusters and arsenic-contaminated drinking water wells in Florida
title_sort pancreatic cancer clusters and arsenic-contaminated drinking water wells in florida
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3600048/
https://www.ncbi.nlm.nih.gov/pubmed/23510413
http://dx.doi.org/10.1186/1471-2407-13-111
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