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Johnson MTJ, Arif I, Marchetti F, Munshi-South J, Ness RW, Szulkin M, Verrelli BC, Yauk CL, Anstett DN, Booth W, Caizergues AE, Carlen EJ, Dant A, González J, Lagos CG, Oman M, Phifer-Rixey M, Rennison DJ, Rosenberg MS, Winchell KM. Effects of urban-induced mutations on ecology, evolution and health. Nat Ecol Evol 2024; 8:1074-1086. [PMID: 38641700 DOI: 10.1038/s41559-024-02401-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 03/13/2024] [Indexed: 04/21/2024]
Abstract
Increasing evidence suggests that urbanization is associated with higher mutation rates, which can affect the health and evolution of organisms that inhabit cities. Elevated pollution levels in urban areas can induce DNA damage, leading to de novo mutations. Studies on mutations induced by urban pollution are most prevalent in humans and microorganisms, whereas studies of non-human eukaryotes are rare, even though increased mutation rates have the potential to affect organisms and their populations in contemporary time. Our Perspective explores how higher mutation rates in urban environments could impact the fitness, ecology and evolution of populations. Most mutations will be neutral or deleterious, and higher mutation rates associated with elevated pollution in urban populations can increase the risk of cancer in humans and potentially other species. We highlight the potential for urban-driven increased deleterious mutational loads in some organisms, which could lead to a decline in population growth of a wide diversity of organisms. Although beneficial mutations are expected to be rare, we argue that higher mutation rates in urban areas could influence adaptive evolution, especially in organisms with short generation times. Finally, we explore avenues for future research to better understand the effects of urban-induced mutations on the fitness, ecology and evolution of city-dwelling organisms.
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Affiliation(s)
- Marc T J Johnson
- Centre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada.
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada.
| | - Irtaqa Arif
- Centre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
| | - Francesco Marchetti
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Jason Munshi-South
- Department of Biology and Louis Calder Center, Fordham University, Armonk, NY, USA
| | - Rob W Ness
- Centre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
| | - Marta Szulkin
- Institute of Evolutionary Biology, Faculty of Biology, Biological and Chemical Research Centre, University of Warsaw, Warsaw, Poland
| | - Brian C Verrelli
- Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA, USA
| | - Carole L Yauk
- Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
| | - Daniel N Anstett
- Department of Plant Biology, Department of Entomology, Plant Resilience Institute, Michigan State University, East Lansing, MI, USA
| | - Warren Booth
- Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA
| | - Aude E Caizergues
- Centre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
| | - Elizabeth J Carlen
- Living Earth Collaborative, Washington University in St. Louis, St. Louis, MO, USA
| | - Anthony Dant
- Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA
| | - Josefa González
- Institute of Evolutionary Biology, CSIC, UPF, Barcelona, Spain
| | - César González Lagos
- Departamento de Ciencias, Facultad de Artes Liberales, Universidad Adolfo Ibáñez, Santiago, Chile
- Center of Applied Ecology and Sustainability (CAPES), Santiago, Chile
| | - Madeleine Oman
- Centre for Urban Environments, University of Toronto Mississauga, Mississauga, Ontario, Canada
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
| | | | - Diana J Rennison
- School of Biological Sciences, University of California, San Diego, La Jolla, CA, USA
| | - Michael S Rosenberg
- Center for Biological Data Science, Virginia Commonwealth University, Richmond, VA, USA
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Faramarzi S, Kiani B, Hoseinkhani M, Firouraghi N. A gender-specific geodatabase of five cancer types with the highest frequency of occurrence in Iran. BMC Res Notes 2024; 17:83. [PMID: 38504380 PMCID: PMC10949707 DOI: 10.1186/s13104-024-06737-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 03/07/2024] [Indexed: 03/21/2024] Open
Abstract
OBJECTIVES Cancer is a global health challenge with complex characteristics. Despite progress in research and treatment, a universally effective prevention strategy is lacking. Access to reliable information, especially on occurrence rates, is vital for cancer management. This study aims to create a database containing individual and spatially integrated data on commonly diagnosed cancers in Iran from 2014 to 2017, serving as a valuable resource for spatial-epidemiological approaches. DATA DESCRIPTION This database encompasses several files related to cancer data. The first file is an Excel spreadsheet, containing information on newly diagnosed cancer cases from 2014 to 2017. It provides demographic details and specific characteristics of 482,229 cancer patients. We categorized this data according to the International Agency for Research on Cancer (IARC) reporting rules to identify cancers with the highest incidence. To create a geodatabase, individual data was integrated at the county level and combined with population data. Files 2 and 3 contain gender-specific spatial data for the top cancer types and non-melanoma skin cancer. Each file includes county identifications, the number of cancer cases for each cancer type per year, and gender-specific population information. Lastly, there is a user's guide file to help navigate through the data files.
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Affiliation(s)
- Sharareh Faramarzi
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Behzad Kiani
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Queensland, Australia
| | - Mohammedreza Hoseinkhani
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Neda Firouraghi
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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3
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Gomez SL, Chirikova E, McGuire V, Collin LJ, Dempsey L, Inamdar PP, Lawson-Michod K, Peters ES, Kushi LH, Kavecansky J, Shariff-Marco S, Peres LC, Terry P, Bandera EV, Schildkraut JM, Doherty JA, Lawson A. Role of neighborhood context in ovarian cancer survival disparities: current research and future directions. Am J Obstet Gynecol 2023; 229:366-376.e8. [PMID: 37116824 PMCID: PMC10538437 DOI: 10.1016/j.ajog.2023.04.026] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 04/01/2023] [Accepted: 04/20/2023] [Indexed: 04/30/2023]
Abstract
Ovarian cancer is the fifth leading cause of cancer-associated mortality among US women with survival disparities seen across race, ethnicity, and socioeconomic status, even after accounting for histology, stage, treatment, and other clinical factors. Neighborhood context can play an important role in ovarian cancer survival, and, to the extent to which minority racial and ethnic groups and populations of lower socioeconomic status are more likely to be segregated into neighborhoods with lower quality social, built, and physical environment, these contextual factors may be a critical component of ovarian cancer survival disparities. Understanding factors associated with ovarian cancer outcome disparities will allow clinicians to identify patients at risk for worse outcomes and point to measures, such as social support programs or transportation aid, that can help to ameliorate such disparities. However, research on the impact of neighborhood contextual factors in ovarian cancer survival and in disparities in ovarian cancer survival is limited. This commentary focuses on the following neighborhood contextual domains: structural and institutional context, social context, physical context represented by environmental exposures, built environment, rurality, and healthcare access. The research conducted to date is presented and clinical implications and recommendations for future interventions and studies to address disparities in ovarian cancer outcomes are proposed.
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Affiliation(s)
- Scarlett L Gomez
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA.
| | - Ekaterina Chirikova
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Valerie McGuire
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Lindsay J Collin
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Lauren Dempsey
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Pushkar P Inamdar
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Katherine Lawson-Michod
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Edward S Peters
- Department of Epidemiology, University of Nebraska Medical Center College of Public Health, Omaha, NE
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA
| | - Juraj Kavecansky
- Department of Hematology and Oncology, Kaiser Permanente Northern California, Antioch, CA
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA
| | - Lauren C Peres
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Paul Terry
- Department of Medicine, University of Tennessee, Knoxville, TN
| | - Elisa V Bandera
- Cancer Epidemiology and Health Outcomes, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, New Brunswick, NJ
| | - Joellen M Schildkraut
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Jennifer A Doherty
- Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT
| | - Andrew Lawson
- Department of Public Health Sciences, College of Medicine, Medical University of South Carolina, Charleston, SC; Usher Institute, School of Medicine, University of Edinburgh, Edinburgh, United Kingdom
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Jorquera H, Villalobos AM. A new methodology for source apportionment of gaseous industrial emissions. JOURNAL OF HAZARDOUS MATERIALS 2023; 443:130335. [PMID: 36370478 DOI: 10.1016/j.jhazmat.2022.130335] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Revised: 10/22/2022] [Accepted: 11/04/2022] [Indexed: 06/16/2023]
Abstract
Air quality modeling (AQM) is often used to investigate gaseous pollution around industrial zones. However, this methodology requires accurate emission inventories, unbiased AQM algorithms and realistic boundary conditions. We introduce a new methodology for source apportionment of industrial gaseous emissions, which is based on a fuzzy clustering of ambient concentrations, along with a standard AQM approach. First, by applying fuzzy clustering, ambient concentration is expressed as a sum of non-negative contributions - each corresponding to a specific spatiotemporal pattern (STP); we denote this method as FUSTA (FUzzy SpatioTemporal Apportionment). Second, AQM of the major industrial emissions in the study zone generates another set of STP. By comparing both STP sets, all major source contributions resolved by FUSTA are identified, so a source apportionment is achieved. The uncertainty in FUSTA results may be estimated by comparing results for different numbers of clusters. We have applied FUSTA in an industrial zone in central Chile, obtaining the contributions from major sources of ambient SO2: a thermal power plant complex and a copper smelter, and other contributions from local and regional sources (outside the AQM domain). The methodology also identifies SO2 episodes associated to emissions from the copper smelter.
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Affiliation(s)
- Héctor Jorquera
- Departamento de Ingeniería Química y Bioprocesos, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Santiago 7820436, Chile; Centro de Desarrollo Urbano Sustentable, Santiago, Chile.
| | - Ana María Villalobos
- Departamento de Ingeniería Química y Bioprocesos, Pontificia Universidad Católica de Chile, Avda. Vicuña Mackenna 4860, Santiago 7820436, Chile
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Owusu C, Flanagan B, Lavery AM, Mertzlufft CE, McKenzie BA, Kolling J, Lewis B, Dunn I, Hallisey E, Lehnert EA, Fletcher K, Davis RT, Conn M, Owen LR, Smith MM, Dent A. Developing a granular scale environmental burden index (EBI) for diverse land cover types across the contiguous United States. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 838:155908. [PMID: 35588849 DOI: 10.1016/j.scitotenv.2022.155908] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/15/2022] [Accepted: 05/09/2022] [Indexed: 06/15/2023]
Abstract
Critical to identifying the risk of environmentally driven disease is an understanding of the cumulative impact of environmental conditions on human health. Here we describe the methodology used to develop an environmental burden index (EBI). The EBI is calculated at U.S. census tract level, a finer scale than many similar national-level tools. EBI scores are also stratified by tract land cover type as per the National Land Cover Database (NLCD), controlling for urbanicity. The EBI was developed over the course of four stages: 1) literature review to identify potential indicators, 2) data source acquisition and indicator variable construction, 3) index creation, and 4) stratification by land cover type. For each potential indicator, data sources were assessed for completeness, update frequency, and availability. These indicators were: (1) particulate matter (PM2.5), (2) ozone, (3) Superfund National Priority List (NPL) locations, (4) Toxics Release Inventory (TRI) facilities, (5) Treatment, Storage, and Disposal (TSD) facilities, (6) recreational parks, (7) railways, (8) highways, (9) airports, and (10) impaired water sources. Indicators were statistically normalized and checked for collinearity. For each indicator, we computed and summed percentile ranking scores to create an overall ranking for each tract. Tracts having the same plurality of land cover type form a 'peer' group. We re-ranked the tracts into percentiles within each peer group for each indicator. The percentile scores were combined for each tract to obtain a stratified EBI. A higher score reveals a tract with increased environmental burden relative to other tracts of the same peer group. We compared our results to those of related indices, finding good convergent validity between the overall EBI and CalEnviroScreen 4.0. The EBI has many potential applications for research and use as a tool to develop public health interventions at a granular scale.
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Affiliation(s)
- Claudio Owusu
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Barry Flanagan
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Amy M Lavery
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA; Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Emergency Management, USA.
| | - Caitlin E Mertzlufft
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Benjamin A McKenzie
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Jessica Kolling
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA
| | - Brian Lewis
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Ian Dunn
- The Ohio Colleges of Medicine Government Resource Center, Columbus, OH, USA.
| | - Elaine Hallisey
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Erica Adams Lehnert
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Kelly Fletcher
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Ryan T Davis
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Michel Conn
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Lance R Owen
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Melissa M Smith
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
| | - Andrew Dent
- Centers for Disease Control and Prevention, Agency for Toxic Substances and Disease Registry, National Center for Environmental Health, Office of Innovation and Analytics, Geospatial Research, Analysis, and Services Program, USA.
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Zhou L, Xiang J, He Y. Research progress on the association between environmental pollutants and the resistance mechanism of PARP inhibitors in ovarian cancer. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:49491-49506. [PMID: 34370190 DOI: 10.1007/s11356-021-15852-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 08/03/2021] [Indexed: 06/13/2023]
Abstract
The occurrence and progression of ovarian cancer are closely related to genetics and environmental pollutants. Poly(ADP-ribose) polymerase (PARP) inhibitors have been a major breakthrough in the history of ovarian cancer treatment. PARP is an enzyme responsible for post-translational modification of proteins and repair of single-stranded DNA damage. PARP inhibitors can selectively inhibit PARP function, resulting in a synthetic lethal effect on tumor cells defective in homologous recombination repair. However, with large-scale application, drug resistance also inevitably appears. For PARP inhibitors, the diversity and complexity of drug resistance mechanisms have always been difficult problems in clinical treatment. Herein, we mainly summarized the research progress of DNA damage repair and drug resistance mechanisms related to PARP inhibitors and the impact of environmental pollutants on DNA damage repair to aid the development prospects and highlight urgent problems to be solved.
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Affiliation(s)
- Lina Zhou
- Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, People's Republic of China
| | - Jiangdong Xiang
- Department of Obstetrics and Gynecology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200080, People's Republic of China
| | - Yinyan He
- Department of Gynecologic Oncology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, 200092, People's Republic of China.
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Williams SB, Shan Y, Jazzar U, Kerr PS, Okereke I, Klimberg VS, Tyler DS, Putluri N, Lopez DS, Prochaska JD, Elferink C, Baillargeon JG, Kuo YF, Mehta HB. Proximity to Oil Refineries and Risk of Cancer: A Population-Based Analysis. JNCI Cancer Spectr 2020; 4:pkaa088. [PMID: 33269338 PMCID: PMC7691047 DOI: 10.1093/jncics/pkaa088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 08/11/2020] [Accepted: 09/22/2020] [Indexed: 11/15/2022] Open
Abstract
Background The association between proximity to oil refineries and cancer rate is largely unknown. We sought to compare the rate of cancer (bladder, breast, colon, lung, lymphoma, and prostate) according to proximity to an oil refinery in Texas. Methods A total of 6 302 265 persons aged 20 years or older resided within 30 miles of an oil refinery from 2010 to 2014. We used multilevel zero-inflated Poisson regression models to examine the association between proximity to an oil refinery and cancer rate. Results We observed that proximity to an oil refinery was associated with a statistically significantly increased risk of incident cancer diagnosis across all cancer types. For example, persons residing within 0-10 (risk ratio [RR] = 1.13, 95% confidence interval [CI] = 1.07 to 1.19) and 11-20 (RR = 1.05, 95% CI = 1.00 to 1.11) miles were statistically significantly more likely to be diagnosed with lymphoma than individuals who lived within 21-30 miles of an oil refinery. We also observed differences in stage of cancer at diagnosis according to proximity to an oil refinery. Moreover, persons residing within 0-10 miles were more likely to be diagnosed with distant metastasis and/or systemic disease than people residing 21-30 miles from an oil refinery. The greatest risk of distant disease was observed in patients diagnosed with bladder cancer living within 0-10 vs 21-30 miles (RR = 1.30, 95% CI = 1.02 to 1.65), respectively. Conclusions Proximity to an oil refinery was associated with an increased risk of multiple cancer types. We also observed statistically significantly increased risk of regional and distant/metastatic disease according to proximity to an oil refinery.
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Affiliation(s)
- Stephen B Williams
- Department of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA
| | - Yong Shan
- Department of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA
| | - Usama Jazzar
- Department of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA
| | - Preston S Kerr
- Department of Surgery, Division of Urology, The University of Texas Medical Branch, Galveston, TX, USA
| | - Ikenna Okereke
- Department of Surgery, Division of Thoracic Surgery, The University of Texas Medical Branch, Galveston, TX, USA
| | - V Suzanne Klimberg
- Department of Surgery, Division of Surgical Oncology, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Douglas S Tyler
- Department of Surgery, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Nagireddy Putluri
- Department of Molecular and Cellular Biology, Dan L. Duncan Cancer Center, Advanced Technology Core, Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, TX, USA
| | - David S Lopez
- Department of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - John D Prochaska
- Department of Preventive Medicine and Population Health, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Cornelis Elferink
- Department of Pharmacology and Toxicology, Center for Environmental Toxicology, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Jacques G Baillargeon
- Department of Medicine, Division of Epidemiology, Sealy Center on Aging, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Yong-Fang Kuo
- Department of Medicine, Division of Epidemiology, Sealy Center on Aging, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
| | - Hemalkumar B Mehta
- Department of Surgery, The University of Texas Medical Branch at Galveston, Galveston, TX, USA.,Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
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8
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Domingo JL, Marquès M, Nadal M, Schuhmacher M. Health risks for the population living near petrochemical industrial complexes. 1. Cancer risks: A review of the scientific literature. ENVIRONMENTAL RESEARCH 2020; 186:109495. [PMID: 32283337 DOI: 10.1016/j.envres.2020.109495] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 04/05/2020] [Accepted: 04/05/2020] [Indexed: 06/11/2023]
Abstract
Petrochemical complexes and oil refineries are well known sources of a wide range of environmental pollutants. Consequently, the potential harmful health effects of living near these facilities is a topic of concern among the population living in the neighborhood. Anyhow, the number of studies carried out on this issue is rather limited and, in some cases, results are even slightly contradictory. The present Review was aimed at assessing whether living in the vicinity of petrochemical industries and oil refineries is associated with a higher incidence of cancer and cancer mortality. In this sense, up to 23 investigations were found in PubMed and Scopus databases. According to the type of cancer, leukemia and other hematological malignancies were reported as the main types of cancer for populations living in the neighborhood of petrochemical industries. This was concluded based on studies performed in Taiwan, Spain, United Kingdom, Italy and Nigeria. In contrast, no association was found in 4 different investigations conducted in Sweden, Finland and USA with the same purpose. Other scientific studies reported a high incidence of lung and bladder cancer in Taiwan, Italy and USA, as well as an excess mortality of bone, brain, liver, pleural, larynx and pancreas cancers in individuals living near petrochemical complexes from Taiwan, Spain, Italy, United Kingdom and USA. Thus, human exposure to certain carcinogenic pollutants emitted from petrochemical industries might increase the incidence of some cancers and cancer mortality. Anyway, since the limited number of investigations conducted until now, further studies are required in order to corroborate -in a more generalized way-this conclusion.
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Affiliation(s)
- José L Domingo
- Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Universitat Rovira I Virgili, Sant Llorens 21, 43201, Reus, Catalonia, Spain.
| | - Montse Marquès
- Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Universitat Rovira I Virgili, Sant Llorens 21, 43201, Reus, Catalonia, Spain
| | - Martí Nadal
- Laboratory of Toxicology and Environmental Health, School of Medicine, IISPV, Universitat Rovira I Virgili, Sant Llorens 21, 43201, Reus, Catalonia, Spain
| | - Marta Schuhmacher
- Departament d'Enginyeria Química, Universitat Rovira I Virgili, Avd. Països Catalans 26, 43007, Tarragona, Catalonia, Spain
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