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Sarwar SA, O'Malley GR, Botvinov J, Khan Y, Kumar RP, Ali M, Cassimatis ND, Hundal JS, Patel NV. Impact of environmental pollutants on pediatric brain tumor incidence in New Jersey. Clin Neurol Neurosurg 2024; 242:108318. [PMID: 38759503 DOI: 10.1016/j.clineuro.2024.108318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/01/2024] [Accepted: 05/04/2024] [Indexed: 05/19/2024]
Abstract
OBJECTIVE The relationship between environmental contaminants and brain tumor incidence in adults has been thoroughly explored but research into how these contaminants affect pediatric brain tumor (PBT) incidence has not been explored. Children, typically having more limited geographical movement and thus more consistent environmental contaminant exposure, might offer more reliable insights into which environmental contaminants affect the incidence of brain tumors. The present study is the first to focus on exploring whether a possible association exists between the incidence of PBTs and exposure to environmental pollutants in New Jersey (NJ). METHODS Linear regressions were run between PBT incidence and the concentration of air quality pollutants such as Ozone (O3), Particulate Matter 2.5 (PM2.5), Particulate Matter 10 (PM10), and Carbon Monoxide (CO). Similarly, linear regressions were run between PBT incidence and Elevated Blood Lead Levels (BLL). RESULTS The study observed a significant positive relationship between O3 and PBT incidence (β = 0.34, p = 0.028). However, the relationship between PBT incidence, and environmental pollutants such as CO (β = 0.0047, p = 0.098), PM2.5 (β = -0.2624, p = 0.74), and PM10 (β = -0.7353, p = 0.073) were found to be nonsignificant. For elevated BLL, nonsignificant relationships with PBT incidence were observed at 10-14 µg/dL (β = -39.38, p = 0.30), 15-19 µg/dL (β = -67.00, p = 0.21), and 20-44 µg/dL (β = -201.98, p = 0.12). CONCLUSIONS The results indicate a possible impact of O3 on the incidence of PBTs in NJ. In contrast to the significant links found in prior studies of adult brain tumors, the associations between PBT occurrence and particulate matter were not significant. These findings highlight the importance of further investigating how environmental factors, especially O3, relate to PBTs.
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Affiliation(s)
- Syed A Sarwar
- Department of Neurosurgery, Hackensack Meridian Health - Jersey Shore University Medical Center, USA.
| | | | - Julia Botvinov
- Department of Neurosurgery, Hackensack Meridian School of Medicine, USA
| | - Yasmin Khan
- Department of Cell Biology & Neuroscience, Rutgers University-New Brunswick, New Brunswick, NJ, USA
| | - Rohit Prem Kumar
- Department of Neurosurgery, Hackensack Meridian School of Medicine, USA
| | - Mir Ali
- Department of Neurosurgery, Hackensack Meridian School of Medicine, USA
| | | | - Jasdeep S Hundal
- Department of Neurology, Hackensack Meridian Health - Jersey Shore University Medical Center, Neptune, NJ, USA
| | - Nitesh V Patel
- Department of Neurosurgery, Hackensack Meridian Health - Jersey Shore University Medical Center, USA; Department of Neurosurgery, Hackensack Meridian School of Medicine, USA
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Ripley S, Maher BA, Hatzopoulou M, Weichenthal S. Within-city spatial variations in PM 2.5 magnetite nanoparticles and brain cancer incidence in Toronto and Montreal, Canada. Sci Rep 2024; 14:12136. [PMID: 38802386 PMCID: PMC11130222 DOI: 10.1038/s41598-024-58119-2] [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: 10/01/2023] [Accepted: 03/25/2024] [Indexed: 05/29/2024] Open
Abstract
Magnetite nanoparticles are small, strongly magnetic iron oxide particles which are produced during high-temperature combustion and friction processes and form part of the outdoor air pollution mixture. These particles can translocate to the brain and have been found in human brain tissue. In this study, we estimated associations between within-city spatial variations in concentrations of magnetite nanoparticles in outdoor fine particulate matter (PM2.5) and brain cancer incidence. We performed a cohort study of 1.29 million participants in four cycles of the Canadian Census Health and Environment Cohort in Montreal and Toronto, Canada who were followed for malignant brain tumour (glioma) incidence. As a proxy for magnetite nanoparticle content, we measured the susceptibility of anhysteretic remanent magnetization (χARM) in PM2.5 samples (N = 124 in Montreal, N = 110 in Toronto), and values were assigned to residential locations. Stratified Cox proportional hazards models were used to estimate hazard ratios (per IQR change in volume-normalized χARM). ARM was not associated with brain tumour incidence (HR = 0.998, 95% CI 0.988, 1.009) after adjusting for relevant potential confounders. Although we found no evidence of an important relationship between within-city spatial variations in airborne magnetite nanoparticles and brain tumour incidence, further research is needed to evaluate this understudied exposure, and other measures of exposure to magnetite nanoparticles should be considered.
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Affiliation(s)
- Susannah Ripley
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, H3A 1G1, Canada.
| | - Barbara A Maher
- Centre for Environmental Magnetism & Palaeomagnetism, Lancaster University, Lancaster, LA1 4YQ, UK
| | - Marianne Hatzopoulou
- Department of Civil & Mineral Engineering, University of Toronto, Toronto, M5S 1A4, Canada
| | - Scott Weichenthal
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, H3A 1G1, Canada
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White AR. The firestorm within: A narrative review of extreme heat and wildfire smoke effects on brain health. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 922:171239. [PMID: 38417511 DOI: 10.1016/j.scitotenv.2024.171239] [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: 11/20/2023] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/01/2024]
Abstract
Climate change is generating increased heatwaves and wildfires across much of the world. With these escalating environmental changes comes greater impacts on human health leading to increased numbers of people suffering from heat- and wildfire smoke-associated respiratory and cardiovascular impairment. One area of health impact of climate change that has received far less attention is the effects of extreme heat and wildfire smoke exposure on human brain health. As elevated temperatures, and wildfire-associated smoke, are increasingly experienced simultaneously over summer periods, understanding this combined impact is critical to management of human health especially in the elderly, and people with dementia, and other neurological disorders. Both extreme heat and wildfire smoke air pollution (especially particulate matter, PM) induce neuroinflammatory and cerebrovascular effects, oxidative stress, and cognitive impairment, however the combined effect of these impacts are not well understood. In this narrative review, a comprehensive examination of extreme heat and wildfire smoke impact on human brain health is presented, with a focus on how these factors contribute to cognitive impairment, and dementia, one of the leading health issues today. Also discussed is the potential impact of combined heat and wildfire smoke on brain health, and where future efforts should be applied to help advance knowledge in this rapidly growing and critical field of health research.
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Affiliation(s)
- Anthony R White
- Mental Health and Neuroscience Program, QIMR Berghofer Medical Research Institute, Herston, Queensland 4006, Australia; A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70211 Kuopio, Finland; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia; School of Biomedical Sciences, Faculty of Health, Queensland University of Technology, QLD, Australia.
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Qi Z, Yu H, Chen L, Qu Y, Zhang M, Qi G, Chen S. Analysis and prediction of central nervous system tumor burden in China during 1990-2030. PLoS One 2024; 19:e0300390. [PMID: 38630737 PMCID: PMC11023588 DOI: 10.1371/journal.pone.0300390] [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: 09/23/2023] [Accepted: 02/27/2024] [Indexed: 04/19/2024] Open
Abstract
Central nervous system (CNS) tumors, due to their unique locations, pose a serious threat to human health and present challenges to modern medicine. These tumors exhibit notable epidemiological characteristics across various ethnicities, regions, and age groups. This study investigated the trend of disease burden of CNS tumors in China from 1990-2019 and predicted the incidence and death rate from 2020-2030. Employing data from the 2019 Global Burden of Disease (GBD) database, we utilized key indicators to scrutinize the disease burden associated with CNS tumors in China. The analysis employed the Joinpoint model to track the trend in disease burden, calculating both the annual percentage change (APC) and average annual percentage change (AAPC). Additionally, the Matlab software facilitated the creation of a gray model to forecast the incidence and death rate of CNS tumors in China spanning from 2020 to 2030." In 2019, the age-standardized incidence rate, prevalence rate, death rate, and disability-adjusted life years (DALYs) associated with CNS tumors in China were among the high level in the world. The standardized prevalence rate and DALYs of CNS tumors in China residents showed a stable fluctuation trend with age; however, age-standardized death and incidence rate demonstrated a generally upward trend with age. In China, the age-standardized prevalence and incidence rate of males were lower than those for female residents, while the age-standardized death rate and DALYs among males surpassed those of females. From 1990-2019, the age-standardized prevalence and incidence rate of CNS tumors in China exhibited an increasing trend. The age-standardized death rate and DALYs showed a contrasting trend. According to the gray model's prediction, incidence rate of CNS tumors would continue rising while the death rate is expected to decline in China from 2020-2023. The burden of CNS tumors in China has shown an upward trajectory, posing significant challenges to their treatment. It is necessary to pay attention to tertiary prevention, start from the perspective of high-risk groups and high-risk factors to reduce the burden of disease, and achieve "early detection, early diagnosis, and early treatment".
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Affiliation(s)
- Zedi Qi
- Department of Neurosurgery, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan City, Shanxi Province, China
| | - Hongyan Yu
- Department of Pneumology, The First Affiliated Hospital of Hebei North University, Zhangjiakou City, Hebei Province, China
| | - Liangchong Chen
- Department of Neurosurgery, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine Affiliated to Zhejiang Chinese Medical University, Wenzhou City, Zhejiang Province, China
| | - Yichen Qu
- Department of Neurosurgery, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan City, Shanxi Province, China
| | - Mignda Zhang
- Department of Neurosurgery, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan City, Shanxi Province, China
| | - Guozhang Qi
- Department of Neurosurgery, Trigeminal Neuralgia Hospital of Anyang, Anyang City, Henan Province, China
| | - Shengli Chen
- Department of Neurosurgery, The Fifth Clinical Medical College of Shanxi Medical University, Taiyuan City, Shanxi Province, China
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Lu TY, Wu CD, Huang YT, Chen YC, Chen CJ, Yang HI, Pan WC. Exposure to PM 2.5 Metal Constituents and Liver Cancer Risk in REVEAL-HBV. J Epidemiol 2024; 34:87-93. [PMID: 36908115 PMCID: PMC10751193 DOI: 10.2188/jea.je20220262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 02/05/2023] [Indexed: 03/13/2023] Open
Abstract
BACKGROUND Ambient particulate matter is classified as a human Class 1 carcinogen, and recent studies found a positive relationship between fine particulate matter (PM2.5) and liver cancer. Nevertheless, little is known about which specific metal constituent contributes to the development of liver cancer. OBJECTIVE To evaluate the association of long-term exposure to metal constituents in PM2.5 with the risk of liver cancer using a Taiwanese cohort study. METHODS A total of 13,511 Taiwanese participants were recruited from the REVEAL-HBV in 1991-1992. Participants' long-term exposure to eight metal constituents (Ba, Cu, Mn, Sb, Zn, Pb, Ni, and Cd) in PM2.5 was based on ambient measurement in 2002-2006 followed by a land-use regression model for spatial interpolation. We ascertained newly developed liver cancer (ie, hepatocellular carcinoma [HCC]) through data linkage with the Taiwan Cancer Registry and national health death certification in 1991-2014. A Cox proportional hazards model was utilized to assess the association between exposure to PM2.5 metal component and HCC. RESULTS We identified 322 newly developed HCC with a median follow-up of 23.1 years. Long-term exposure to PM2.5 Cu was positively associated with a risk of liver cancer. The adjusted hazard ratio (HR) was 1.13 (95% confidence interval [CI], 1.02-1.25; P = 0.023) with one unit increment on Cu normalized by PM2.5 mass concentration in the logarithmic scale. The PM2.5 Cu-HCC association remained statistically significant with adjustment for co-exposures to other metal constituents in PM2.5. CONCLUSION Our findings suggest PM2.5 containing Cu may attribute to the association of PM2.5 exposure with liver cancer.
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Affiliation(s)
- Tzu-Yi Lu
- Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chih-Da Wu
- Department of Geomatics, National Cheng Kung University, Chiayi, Taiwan
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Yen-Tsung Huang
- Institue of Statistical Science, Academia Sinica, Taipei, Taiwan
| | - Yu-Cheng Chen
- National Institution of Environmental Health Sciences, National Health Research Institute, Mioli, Taiwan
| | - Chien-Jen Chen
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Graduate Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taipei, Taiwan
| | - Hwai-I Yang
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Wen-Chi Pan
- Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan
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Smith CJ, Perfetti TA, Chokshi C, Venugopal C, Ashford JW, Singh SK. Alkylating agents are possible inducers of glioblastoma and other brain tumors. Hum Exp Toxicol 2024; 43:9603271241256598. [PMID: 38758727 DOI: 10.1177/09603271241256598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2024]
Abstract
Epidemiological evidence of an association between exposure to chemical carcinogens and an increased risk for development of glioblastoma (GBM) is limited to weak statistical associations in cohorts of firefighters, farmers, residents exposed to air pollution, and soldiers exposed to toxic chemicals (e.g., military burn pits, oil-well fire smoke). A history of ionizing radiation therapy to the head or neck is associated with an increased risk of GBM. Ionizing radiation induces point mutations, frameshift mutations, double-strand breaks, and chromosomal insertions or deletions. Mutational profiles associated with chemical exposures overlap with the broad mutational patterns seen with ionizing radiation. Data on 16 agents (15 chemicals and radio frequency radiation) that induced tumors in the rodent brain were extracted from 602 Technical Reports on 2-years cancer bioassays found in the National Toxicology Program database. Ten of the 15 chemical agents that induce brain tumors are alkylating agents. Three of the 15 chemical agents have idiosyncratic structures and might be alkylating agents. Only two of the 15 chemical agents are definitively not alkylating agents. The rat model is thought to be of possible relevance to humans suggesting that exposure to alkylating chemicals should be considered in epidemiology studies on GBM and other brain tumors.
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Affiliation(s)
- Carr J Smith
- Society for Brain Mapping and Therapeutics, Pacific Palisades, CA, USA
| | | | - Chirayu Chokshi
- Department of Surgery, McMaster University, Hamilton, ON, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
| | - Chitra Venugopal
- Department of Surgery, McMaster University, Hamilton, ON, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Center for Discovery in Cancer Research (CDCR), McMaster University, Hamilton, ON, Canada
| | - J Wesson Ashford
- Stanford University and VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Sheila K Singh
- Department of Surgery, McMaster University, Hamilton, ON, Canada
- Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada
- Center for Discovery in Cancer Research (CDCR), McMaster University, Hamilton, ON, Canada
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Hassanipour S, Nikbakht HA, Amrane A, Arab-Zozani M, Shojaie L, Rostami S, Badeenezhad A. The Relationship between Air Pollution and Brain Cancer: A Systematic Review and Meta-Analysis. Ann Glob Health 2023; 89:45. [PMID: 37362828 PMCID: PMC10289053 DOI: 10.5334/aogh.3889] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 04/30/2023] [Indexed: 06/28/2023] Open
Abstract
Background There is very little epidemiological evidence on the effects of ambient air pollution on brain tumor risk. The purpose of this study was to determine the relationship between exposure to air pollution and the incidence of brain tumors. Methods A comprehensive literature search in five international databases, including PubMed/Medline, ProQuest, Scopus, Embase, and ISI/WOS on April 15, 2019, was conducted. The methodology of the present study was based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement. The Newcastle-Ottawa Quality Assessment Form was used to evaluate the quality of the selected papers. Results Five studies that measured adult brain tumors as well as their long-term exposure to at least one of the pollutants criteria for air pollution, PM2.5 absorbance, and proximity to traffic (Trafnear) were reviewed. The results showed that the pooled relative risk (RR) for incidence of brain tumor and long term exposure to Trafnear, PM2.5, PM2.5 absorbance, O3 and NOx were RR = 1.07, (95% CI 0.99-1.16), P = 0.079, for Trafnear; RR = 0.90, (95% CI 0.80-1.00), P = 0.064 for PM2.5; RR = 1.63, (95% CI 1.04-2.55), P = 0.031 for PM2.5 absorbance; RR = 1.3, (95% CI 1.03-1.6), P = 0.023 for O3; and RR = 1.16, (95% CI 0.93-1.45), P = 0.173 for NOx. Exposure to other air pollutants had no statistically significant association with brain tumor incidence. Conclusion The results showed that exposure to air pollutants, such as O3 and PM2.5 absorbance, had the highest correlation with brain tumor incidence. They also showed an absence of correlation between exposure to certain pollutants (SO2, CO, NO2, PM10, PM2.5) and brain tumor incidence.
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Affiliation(s)
- Soheil Hassanipour
- Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Hossein-Ali Nikbakht
- Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran
| | - Abdeltif Amrane
- Univ Rennes, Ecole Nationale Supérieure de Chimie de Rennes, CNRS, ISCR-UMR 6226, F-35000 Rennes, France
| | - Morteza Arab-Zozani
- Social Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Layla Shojaie
- Division of GI/Liver, Department of Medicine, Keck school of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Saeid Rostami
- Department of Environmental Health Engineering, Shiraz University of Medical Science, Shiraz, Iran
| | - Ahmad Badeenezhad
- Department of Environmental Health Engineering, School of Medical Sciences, Behbahan Faculty of Medical Sciences, Behbahan, Iran
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Liu H, Zhang X, Sun Z, Chen Y. Ambient Fine Particulate Matter and Cancer: Current Evidence and Future Perspectives. Chem Res Toxicol 2023; 36:141-156. [PMID: 36688945 DOI: 10.1021/acs.chemrestox.2c00216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
The high incidence of cancer has placed an enormous health and economic burden on countries around the world. In addition to evidence of epidemiological studies, conclusive evidence from animal experiments and mechanistic studies have also shown that morbidity and mortality of some cancers can be attributed to ambient fine particulate matter (PM2.5) exposure, especially in lung cancer. However, the underlying carcinogenetic mechanisms of PM2.5 remain unclear. Furthermore, in terms of risks of other types of cancer, both epidemiological and mechanistic evidence are more limited and scattered, and the results are also inconsistent. In order to sort out the carcinogenic effect of PM2.5, this paper reviews the association of cancers with PM2.5 based on epidemiological and biological evidence including genetic, epigenetic, and molecular mechanisms. The limitations of existing researches and the prospects for the future are also well clarified in this paper to provide insights for future studies.
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Affiliation(s)
- Hanrui Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, and Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Xiaoke Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, and Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, and Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, PR China
| | - Yueyue Chen
- Department of Toxicology and Sanitary Chemistry, School of Public Health, and Beijing Key Laboratory of Environment Toxicology, Capital Medical University, Beijing 100069, PR China
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Kazemi Shariat Panahi H, Dehhaghi M, Lam SS, Peng W, Aghbashlo M, Tabatabaei M, Guillemin GJ. Oncolytic viruses as a promising therapeutic strategy against the detrimental health impacts of air pollution: The case of glioblastoma multiforme. Semin Cancer Biol 2022; 86:1122-1142. [PMID: 34004331 DOI: 10.1016/j.semcancer.2021.05.013] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 05/09/2021] [Accepted: 05/10/2021] [Indexed: 01/27/2023]
Abstract
Human livelihood highly depends on applying different sources of energy whose utilization is associated with air pollution. On the other hand, air pollution may be associated with glioblastoma multiforme (GBM) development. Unlike other environmental causes of cancer (e.g., irradiation), air pollution cannot efficiently be controlled by geographical borders, regulations, and policies. The unavoidable exposure to air pollution can modify cancer incidence and mortality. GBM treatment with chemotherapy or even its surgical removal has proven insufficient (100% recurrence rate; patient's survival mean of 15 months; 90% fatality within five years) due to glioma infiltrative and migratory capacities. Given the barrage of attention and research investments currently plowed into next-generation cancer therapy, oncolytic viruses are perhaps the most vigorously pursued. Provision of an insight into the current state of the research and future direction is essential for stimulating new ideas with the potentials of filling research gaps. This review manuscript aims to overview types of brain cancer, their burden, and different causative agents. It also describes why air pollution is becoming a concerning factor. The different opinions on the association of air pollution with brain cancer are reviewed. It tries to address the significant controversy in this field by hypothesizing the air-pollution-brain-cancer association via inflammation and atopic conditions. The last section of this review deals with the oncolytic viruses, which have been used in, or are still under clinical trials for GBM treatment. Engineered adenoviruses (i.e., DNX-2401, DNX-2440, CRAd8-S-pk7 loaded Neural stem cells), herpes simplex virus type 1 (i.e., HSV-1 C134, HSV-1 rQNestin34.5v.2, HSV-1 G207, HSV-1 M032), measles virus (i.e., MV-CEA), parvovirus (i.e., ParvOryx), poliovirus (i.e., Poliovirus PVSRIPO), reovirus (i.e., pelareorep), moloney murine leukemia virus (i.e., Toca 511 vector), and vaccinia virus (i.e., vaccinia virus TG6002) as possible life-changing alleviations for GBM have been discussed. To the best of our knowledge, this review is the first review that comprehensively discusses both (i) the negative/positive association of air pollution with GBM; and (ii) the application of oncolytic viruses for GBM, including the most recent advances and clinical trials. It is also the first review that addresses the controversies over air pollution and brain cancer association. We believe that the article will significantly appeal to a broad readership of virologists, oncologists, neurologists, environmentalists, and those who work in the field of (bio)energy. Policymakers may also use it to establish better health policies and regulations about air pollution and (bio)fuels exploration, production, and consumption.
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Affiliation(s)
- Hamed Kazemi Shariat Panahi
- Henan Province Forest Resources Sustainable Development and High-value Utilization Engineering Research Center, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China; Neuroinflammation Group, Department of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, NSW, Australia
| | - Mona Dehhaghi
- Henan Province Forest Resources Sustainable Development and High-value Utilization Engineering Research Center, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China; Neuroinflammation Group, Department of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, NSW, Australia; PANDIS.Org, Australia
| | - Su Shiung Lam
- Henan Province Forest Resources Sustainable Development and High-value Utilization Engineering Research Center, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China; Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
| | - Wanxi Peng
- Henan Province Forest Resources Sustainable Development and High-value Utilization Engineering Research Center, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China.
| | - Mortaza Aghbashlo
- Henan Province Forest Resources Sustainable Development and High-value Utilization Engineering Research Center, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China; Department of Mechanical Engineering of Agricultural Machinery, Faculty of Agricultural Engineering and Technology, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.
| | - Meisam Tabatabaei
- Henan Province Forest Resources Sustainable Development and High-value Utilization Engineering Research Center, School of Forestry, Henan Agricultural University, Zhengzhou, 450002, China; Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia; Biofuel Research Team (BRTeam), Terengganu, Malaysia; Microbial Biotechnology Department, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.
| | - Gilles J Guillemin
- Neuroinflammation Group, Department of Biomedical Sciences, Faculty of Medicine, Health and Human Sciences, Macquarie University, NSW, Australia; PANDIS.Org, Australia.
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Li W, Lin G, Xiao Z, Zhang Y, Li B, Zhou Y, Ma Y, Chai E. A review of respirable fine particulate matter (PM2.5)-induced brain damage. Front Mol Neurosci 2022; 15:967174. [PMID: 36157076 PMCID: PMC9491465 DOI: 10.3389/fnmol.2022.967174] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 08/09/2022] [Indexed: 11/29/2022] Open
Abstract
Respirable fine particulate matter (PM2.5) has been one of the most widely publicized indicators of pollution in recent years. Epidemiological studies have established a strong association between PM2.5, lung disease, and cardiovascular disease. Recent studies have shown that PM2.5 is also strongly associated with brain damage, mainly cerebrovascular damage (stroke) and neurological damage to the brain (changes in cognitive function, dementia, psychiatric disorders, etc.). PM2.5 can pass through the lung–gas–blood barrier and the “gut–microbial–brain” axis to cause systemic oxidative stress and inflammation, or directly enter brain tissue via the olfactory nerve, eventually damaging the cerebral blood vessels and brain nerves. It is worth mentioning that there is a time window for PM2.5-induced brain damage to repair itself. However, the exact pathophysiological mechanisms of brain injury and brain repair are not yet fully understood. This article collects and discusses the mechanisms of PM2.5-induced brain injury and self-repair after injury, which may provide new ideas for the prevention and treatment of cerebrovascular and cerebral neurological diseases.
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Affiliation(s)
- Wei Li
- The First Clinical Medical College of Gansu University of Chinese Medical, Lan Zhou, China
- Cerebrovascular Disease Center of Gansu Provincial People's Hospital, Lan Zhou, China
- Key Laboratory of Cerebrovascular Diseases in Gansu Province, Lan Zhou, China
| | - Guohui Lin
- Day Treatment Center II of Gansu Provincial Maternity and Child-Care Hospital, Lan Zhou, China
| | - Zaixing Xiao
- Cerebrovascular Disease Center of Gansu Provincial People's Hospital, Lan Zhou, China
- Key Laboratory of Cerebrovascular Diseases in Gansu Province, Lan Zhou, China
| | - Yichuan Zhang
- Cerebrovascular Disease Center of Gansu Provincial People's Hospital, Lan Zhou, China
- Key Laboratory of Cerebrovascular Diseases in Gansu Province, Lan Zhou, China
| | - Bin Li
- Cerebrovascular Disease Center of Gansu Provincial People's Hospital, Lan Zhou, China
- Key Laboratory of Cerebrovascular Diseases in Gansu Province, Lan Zhou, China
| | - Yu Zhou
- Key Laboratory of Cerebrovascular Diseases in Gansu Province, Lan Zhou, China
- The First School of Clinical Medicine of Lanzhou University, Lan Zhou, China
| | - Yong Ma
- Cerebrovascular Disease Center of Gansu Provincial People's Hospital, Lan Zhou, China
- Key Laboratory of Cerebrovascular Diseases in Gansu Province, Lan Zhou, China
| | - Erqing Chai
- Cerebrovascular Disease Center of Gansu Provincial People's Hospital, Lan Zhou, China
- Key Laboratory of Cerebrovascular Diseases in Gansu Province, Lan Zhou, China
- *Correspondence: Erqing Chai
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11
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Roberts A, Hu M, Hajizadeh M. Income and Education Inequalities in Brain and Central Nervous System Cancer Incidence in Canada: Trends over Two Decades. J Cancer Prev 2021; 26:110-117. [PMID: 34258249 PMCID: PMC8249205 DOI: 10.15430/jcp.2021.26.2.110] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 05/21/2021] [Accepted: 06/09/2021] [Indexed: 11/06/2022] Open
Abstract
The socioeconomic gradient of brain and central nervous system (CNS) cancer incidence in Canada is poorly understood. This study aimed to measure socioeconomic inequalities in brain and CNS cancer incidence in Canada from 1992 to 2010. Using a unique census division level dataset (n = 280) pooled from the Canadian Cancer Registry (CCR), the Canadian Census of Population and the National Household Survey, we measured brain and CNS cancer incidence in Canada. The age-adjusted concentration index (C) was used to measure income- and education-related inequalities in brain and CNS cancers in Canada, and for men and women, separately. Time trend analyses were conducted to examine the changes in socioeconomic inequalities in brain and CNS cancers in Canada over time. The results indicated that the crude brain and CNS cancer incidence increased from 7.29 to 8.17 per 100,000 (annual percentage change: 0.70) over the study period. The age-adjusted C results suggested that the brain and CNS cancer incidence was not generally significantly different for census division of different income and educational levels. There was insufficient evidence to support changes in income and education-related inequalities over time. Since the incidence of brain and CNS cancers in Canada showed no significant association with socioeconomic status, future cancer control programs should focus on other risk factors for this cancer subset.
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Affiliation(s)
- Alysha Roberts
- Faculty of Medicine, Dalhousie University, Halifax, NS, Canada
| | - Min Hu
- School of Health Administration, Faculty of Health, Dalhousie University, Halifax, NS, Canada
| | - Mohammad Hajizadeh
- School of Health Administration, Faculty of Health, Dalhousie University, Halifax, NS, Canada
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12
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Wu AH, Fruin S, Larson TV, Tseng CC, Wu J, Yang J, Jain J, Shariff-Marco S, Inamdar PP, Setiawan VW, Porcel J, Stram DO, Le Marchand L, Ritz B, Cheng I. Association between Airport-Related Ultrafine Particles and Risk of Malignant Brain Cancer: A Multiethnic Cohort Study. Cancer Res 2021; 81:4360-4369. [PMID: 34167950 DOI: 10.1158/0008-5472.can-21-1138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 05/24/2021] [Accepted: 06/22/2021] [Indexed: 11/16/2022]
Abstract
Ultrafine particles (UFP; diameter less than or equal to 100 nm) may reach the brain via systemic circulation or the olfactory tract and have been implicated in the risk of brain tumors. The effects of airport-related UFP on the risk of brain tumors are not known. Here we determined the association between airport-related UFP and risk of incident malignant brain cancer (n = 155) and meningioma (n = 420) diagnosed during 16.4 years of follow-up among 75,936 men and women residing in Los Angeles County from the Multiethnic Cohort study. UFP exposure from aircrafts was estimated for participants who lived within a 53 km × 43 km grid area around the Los Angeles International Airport (LAX) from date of cohort entry (1993-1996) through December 31, 2013. Cox proportional hazards models were used to estimate the effects of time-varying, airport-related UFP exposure on risk of malignant brain cancer and meningioma, adjusting for sex, race/ethnicity, education, and neighborhood socioeconomic status. Malignant brain cancer risk in all subjects combined increased 12% [95% confidence interval (CI), 0.98-1.27] per interquartile range (IQR) of airport-related UFP exposure (∼6,700 particles/cm3) for subjects with any address in the grid area surrounding the LAX airport. In race/ethnicity-stratified analyses, African Americans, the subgroup who had the highest exposure, showed a HR of 1.32 (95% CI, 1.07-1.64) for malignant brain cancer per IQR in UFP exposure. UFP exposure was not related to risk of meningioma overall or by race/ethnicity. These results support the hypothesis that airport-related UFP exposure may be a risk factor for malignant brain cancers. SIGNIFICANCE: Malignant brain cancer risk increases with airport-related UFP exposure, particularly among African Americans, suggesting UFP exposure may be a modifiable risk factor for malignant brain cancer.
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Affiliation(s)
- Anna H Wu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California.
| | - Scott Fruin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Timothy V Larson
- Department of Civil & Environmental Engineering, University of Washington, Seattle, Washington
| | - Chiu-Chen Tseng
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jun Wu
- Department of Environmental and Occupational Health, Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of Irvine, Irvine, California
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | | | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Pushkar P Inamdar
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
| | - Veronica W Setiawan
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Jacqueline Porcel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Daniel O Stram
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Loic Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii
| | - Beate Ritz
- Department of Epidemiology, School of Public Health, University of California, Los Angeles, Los Angeles, California
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California
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13
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Within-city Spatial Variations in Ambient Ultrafine Particle Concentrations and Incident Brain Tumors in Adults. Epidemiology 2021; 31:177-183. [PMID: 31714401 PMCID: PMC7004474 DOI: 10.1097/ede.0000000000001137] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND Ambient ultrafine particles (UFPs, <0.1 µm) can reach the human brain, but to our knowledge, epidemiologic studies have yet to evaluate the relation between UFPs and incident brain tumors. METHODS We conducted a cohort study of within-city spatial variations in ambient UFPs across Montreal and Toronto, Canada, among 1.9 million adults included in multiple cycles of the Canadian Census Health and Environment Cohorts (1991, 1996, 2001, and 2006). UFP exposures (3-year moving averages) were assigned to residential locations using land-use regression models with exposures updated to account for residential mobility within and between cities. We followed cohort members for malignant brain tumors (ICD-10 codes C71.0-C71.9) between 2001 and 2016; Cox proportional hazards models (stratified by age, sex, immigration status, and census cycle) were used to estimate hazard ratios (HRs) adjusting for fine particle mass concentrations (PM2.5), nitrogen dioxide (NO2), and various sociodemographic factors. RESULTS In total, we identified 1,400 incident brain tumors during the follow-up period. Each 10,000/cm increase in UFPs was positively associated with brain tumor incidence (HR = 1.112, 95% CI = 1.042, 1.188) after adjusting for PM2.5, NO2, and sociodemographic factors. Applying an indirect adjustment for cigarette smoking and body mass index strengthened this relation (HR = 1.133, 95% CI = 1.032, 1.245). PM2.5 and NO2 were not associated with an increased incidence of brain tumors. CONCLUSIONS Ambient UFPs may represent a previously unrecognized risk factor for incident brain tumors in adults. Future studies should aim to replicate these results given the high prevalence of UFP exposures in urban areas.
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Namin S, Zhou Y, Neuner J, Beyer K. The role of residential history in cancer research: A scoping review. Soc Sci Med 2021; 270:113657. [PMID: 33388619 DOI: 10.1016/j.socscimed.2020.113657] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 08/18/2020] [Accepted: 12/22/2020] [Indexed: 11/29/2022]
Abstract
The role of residential history in cancer prevention, diagnosis, treatment, and survivorship is garnering increasing attention in cancer research. To our knowledge, there is no comprehensive synthesis of the current state of knowledge in the field. We reviewed the extant literature on this topic and conducted a scoping analysis to examine two main research questions: (a) To what degree, and how, have researchers accounted for residential history/mobility in cancer research? and (b) What are the gaps in the literature based on a knowledge synthesis using scoping review and concept mapping? To answer these questions, this scoping analysis focuses on how researchers compile, analyze and discuss residential history/mobility in studies on cancer. The study is focused on peer-reviewed articles from 6 different datasets (PubMed, Cinahl, Scopus, Web of Science and JSTOR, ERIC) from 1990 to August 2020. The review captured 1951 results in total, which was scoped to 281 relevant peer-reviewed journal articles. First, we examined these articles based on cancer continuum, cancer type and the main theme. Second, we identified 21 main themes and an additional 16 sub-themes in the pool of the selected articles. We utilized concept mapping to provide a conceptual framework and to highlight the underlying socioecological assumptions and paradigms. Results show that cancer research incorporating residential histories is primarily focused on incidence and estimating cumulative exposure, with little consideration across the cancer continuum. Additionally, our review suggests that although the social environment plays an important role across the cancer continuum, a small number of articles were focused on such factors and this area remains relatively unexplored. Additionally, the expansion of interdisciplinary research on residential mobility before and after cancer diagnosis will enhance understanding of the role of environmental and socioeconomic characteristics and exposures on cancer continuum.
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Affiliation(s)
- S Namin
- Institute for Health & Equity, Medical College of Wisconsin, Milwaukee, WI, USA.
| | - Y Zhou
- Institute for Health & Equity, Medical College of Wisconsin, Milwaukee, WI, USA
| | - J Neuner
- General Internal Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - K Beyer
- Institute for Health & Equity, Medical College of Wisconsin, Milwaukee, WI, USA
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15
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Yoon SJ, Noh J, Son HY, Moon JH, Kim EH, Park SW, Kim SH, Chang JH, Huh YM, Kang SG. Ambient carbon monoxide exposure and elevated risk of mortality in the glioblastoma patients: A double-cohort retrospective observational study. Cancer Med 2020; 9:9018-9026. [PMID: 33161654 PMCID: PMC7724304 DOI: 10.1002/cam4.3572] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 10/11/2020] [Indexed: 02/01/2023] Open
Abstract
An increasing number of studies indicate air pollutants infiltrate into the brain. We aimed to find the association of cumulative air pollution exposure in the main body of primary brain tumor: glioblastoma (GBM). In this double-cohort, retrospective analysis study with a protocol, we compared the health effect of air pollution on the GBM patients from the SEER (Surveillance, Epidemiology, and End Results Program) in 27 U.S. counties from 10 states and GBM patients of Severance cohort of Korea. From 2000 to 2015, 10621 GBM patients of the SEER were individually evaluated for the cumulative average exposure for each pollutant, and 9444 (88.9%) mortality events were reported. From 2011 to 2018, 398 GBM patients of the Severance with the same protocol showed 259 (65.1%) mortality events. The multi-pollutant models show that the association level of risk with CO is increased in the SEER (HR 1.252; 95% CI 1.141-1.373) with an increasing linear trend of relative death rate in the spline curve. The Severance GBM data showed such a statistically significant result of the health impact of CO on GBM patients. The overall survival gain of the less exposure group against CO was 2 and 3 months in the two cohorts. Perioperative exposure to CO may increase the risk of shorter survival of GBM patients of the SEER and the Severance cohort.
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Affiliation(s)
- Seon-Jin Yoon
- Department of Biochemistry and Molecular Biology, Yonsei University College of Medicine, Seoul, Korea.,Brain Korea 21 Plus Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - Juhwan Noh
- Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Hye Young Son
- Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Ju Hyung Moon
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Eui-Hyun Kim
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Sahng Wook Park
- Department of Biochemistry and Molecular Biology, Yonsei University College of Medicine, Seoul, Korea.,Brain Korea 21 Plus Project for Medical Science, Yonsei University College of Medicine, Seoul, Korea
| | - Se Hoon Kim
- Department of Pathology, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Hee Chang
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Yong-Min Huh
- Department of Biochemistry and Molecular Biology, Yonsei University College of Medicine, Seoul, Korea.,Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul, Korea.,Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,YUHS-KRIBB Medical Convergence Research Institute, Seoul, Korea
| | - Seok-Gu Kang
- Department of Neurosurgery, Brain Tumor Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.,Department of Medical Science, Yonsei University Graduate School, Seoul, Korea
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16
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Pourvakhshoori N, Khankeh HR, Stueck M, Farrokhi M. The association between air pollution and cancers: controversial evidence of a systematic review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:38491-38500. [PMID: 32767014 DOI: 10.1007/s11356-020-10377-z] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 08/03/2020] [Indexed: 06/11/2023]
Abstract
There are inconsistent reports on the association between air pollution and cancers. This systematic review was, therefore, conducted to ascertain the relationship between air pollution and some cancers. This is a systematic review study, which all articles published in this area were extracted from January 1, 1950 to December 31, 2018 from Web of Science, PubMed, Scopus, Cochrane Library, MEDLINE, EMBASE, Science Direct, Google scholar. Searching was performed independently by two search-method experts. The required data were extracted from the articles by an author-made questionnaire. Forty-eight articles were investigated. Evidence linking air pollution to some cancers is limited. Leukemia had the highest association with exposure to various air pollutants and bladder cancer had the lowest association. It is noteworthy that the specific type of pollutants in all studies was not specified. Based on the findings, the results are contradictory, and the role of air pollution in some cancers cannot be supported. Accordingly, studies are recommended to be performed at the individual level or multifactorial studies to specifically investigate the relationship between air pollution and these types of cancers. In this way, the role of air pollution in the incidence of these cancers can be determined more accurately.
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Affiliation(s)
- Negar Pourvakhshoori
- Health in Emergency and Disaster Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
- Department of Nursing, School of Nursing and Midwifery, Guilan University of Medical Sciences, Rasht, Iran
| | - Hamid Reza Khankeh
- Department of Clinical Science and Education, Karolinska Institute, Stockholm, Sweden
| | - Marcus Stueck
- DFPA Academy of Work and Health, Leipzig, Germany
- International Research Academy BIONET, Leipzig, Germany
| | - Mehrdad Farrokhi
- Health in Emergency and Disaster Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
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17
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Harbo Poulsen A, Arthur Hvidtfeldt U, Sørensen M, Puett R, Ketzel M, Brandt J, Christensen JH, Geels C, Raaschou-Nielsen O. Components of particulate matter air-pollution and brain tumors. ENVIRONMENT INTERNATIONAL 2020; 144:106046. [PMID: 32858469 DOI: 10.1016/j.envint.2020.106046] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 08/05/2020] [Accepted: 08/06/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Air pollution is an established carcinogen. Evidence for an association with brain tumors is, however, inconclusive. We investigated if individual particulate matter constituents were associated with brain tumor risk. METHODS From comprehensive national registers, we identified all (n = 12 928) brain tumor cases, diagnosed in Denmark in the period 1989-2014, and selected 22 961 controls, matched on age, sex and year of birth. We established address histories and estimated 10-year mean residential outdoor concentrations of particulate matter < 2.5 µm, primarily emitted black carbon (BC) and organic carbon (OC), and combined carbon (OC/BC), as well as secondary inorganic and organic PM air pollutants from a detailed dispersion model. We used conditional logistic regression to calculate odds ratios (OR) per inter quartile range (IQR) exposure. We adjusted for income, marital and employment status as well as area-level socio-demographic characteristics. RESULTS Total tumors of the brain were associated with OC/BC (OR: 1.053, 95%CI: 1.005-1.103, per IQR). The data suggested strongest associations for malignant tumors with ORs per IQR for OC/BC, BC and OC of 1.063 (95% CI: 1.007-1.123), 1.036 (95% CI: 1.006-1.067) and 1.030 (95%CI: 0.979-1.085), respectively. The results did not indicate adverse effects of other PM components. CONCLUSIONS This large, population based study showed associations between primary emitted carbonaceous particles and risk for malignant brain tumors. As the first of its kind, this study needs replication.
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Affiliation(s)
| | | | - Mette Sørensen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Robin Puett
- Danish Cancer Society Research Center, Copenhagen, Denmark; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, MD, USA
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE) Department of Civil and Environmental Engineering University of Surrey, Guildford, United Kingdom
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
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18
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Poulsen AH, Hvidtfeldt UA, Sørensen M, Puett R, Ketzel M, Brandt J, Geels C, Christensen JH, Raaschou-Nielsen O. Intracranial tumors of the central nervous system and air pollution - a nationwide case-control study from Denmark. Environ Health 2020; 19:81. [PMID: 32641060 PMCID: PMC7346389 DOI: 10.1186/s12940-020-00631-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 06/24/2020] [Indexed: 05/11/2023]
Abstract
BACKGROUND Inconclusive evidence has suggested a possible link between air pollution and central nervous system (CNS) tumors. We investigated a range of air pollutants in relation to types of CNS tumors. METHODS We identified all (n = 21,057) intracranial tumors in brain, meninges and cranial nerves diagnosed in Denmark between 1989 and 2014 and matched controls on age, sex and year of birth. We established personal 10-year mean residential outdoor exposure to particulate matter < 2.5 μm (PM2.5), nitrous oxides (NOX), primary emitted black carbon (BC) and ozone. We used conditional logistic regression to calculate odds ratios (OR) linearly (per interquartile range (IQR)) and categorically. We accounted for personal income, employment, marital status, use of medication as well as socio-demographic conditions at area level. RESULTS Malignant tumors of the intracranial CNS was associated with BC (OR: 1.034, 95%CI: 1.005-1.065 per IQR. For NOx the OR per IQR was 1.026 (95%CI: 0.998-1.056). For malignant non-glioma tumors of the brain we found associations with PM2.5 (OR: 1.267, 95%CI: 1.053-1.524 per IQR), BC (OR: 1.049, 95%CI: 0.996-1.106) and NOx (OR: 1.051, 95% CI: 0.996-1.110). CONCLUSION Our results suggest that air pollution is associated with malignant intracranial CNS tumors and malignant non-glioma of the brain. However, additional studies are needed.
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Affiliation(s)
- Aslak Harbo Poulsen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Ulla Arthur Hvidtfeldt
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
| | - Mette Sørensen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
- Department of Natural Science and Environment, Roskilde University, Roskilde, Denmark
| | - Robin Puett
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
- Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, MD USA
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
- Global Centre for Clean Air Research (GCARE) Department of Civil and Environmental Engineering, University of Surrey, Guildford, UK
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | - Camilla Geels
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
| | | | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, DK-2100 Copenhagen Ø, Denmark
- Department of Environmental Science, Aarhus University, Roskilde, Denmark
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19
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Wu AH, Wu J, Tseng C, Yang J, Shariff-Marco S, Fruin S, Larson T, Setiawan VW, Masri S, Porcel J, Jain J, Chen TC, Stram DO, Marchand LL, Ritz B, Cheng I. Association Between Outdoor Air Pollution and Risk of Malignant and Benign Brain Tumors: The Multiethnic Cohort Study. JNCI Cancer Spectr 2020; 4:pkz107. [PMID: 32211584 PMCID: PMC7083235 DOI: 10.1093/jncics/pkz107] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 12/10/2019] [Accepted: 12/15/2019] [Indexed: 01/01/2023] Open
Abstract
Background There are increasing concerns about the potential impact of air pollution on chronic brain inflammation and microglia cell activation, but evidence of its carcinogenic effects is limited. Methods We used kriging interpolation and land use regression models to estimate long-term air pollutant exposures of oxides of nitrogen (NOx, NO2), kriging interpolation for ozone (O3), carbon monoxide, and particulate matter (PM2.5, PM10), and nearest monitoring station measurements for benzene for 103 308 men and women from the Multiethnic Cohort, residing largely in Los Angeles County from recruitment (1993–1996) through 2013. We used Cox proportional hazards models to examine the associations between time-varying pollutants and risk of malignant brain cancer (94 men, 116 women) and meningioma (130 men, 425 women) with adjustment for sex, race and ethnicity, neighborhood socioeconomic status, smoking, occupation, and other covariates. Stratified analyses were conducted by sex and race and ethnicity. Results Brain cancer risk in men increased in association with exposure to benzene (hazard ratio [HR] = 3.52, 95% confidence interval [CI] = 1.55 to 7.55) and PM10 (HR = 1.80, 95% CI = 1.00 to 3.23). Stronger associations with PM10 (HR = 3.02, 95% CI = 1.26 to 7.23), O3 (HR = 2.93, 95% CI = 1.09 to 7.88), and benzene (HR = 4.06, 95% CI = 1.17 to 18.2) were observed among Latino men. Air pollution was unrelated to risk of meningioma except that O3 exposure was associated with risk in men (HR = 1.77, 95% CI = 1.02 to 3.06). Brain cancer risk in women was unrelated to air pollution exposures. Conclusions Confirmation of these sex differences in air pollution–brain cancer associations and the stronger findings in Latino men in additional diverse populations is warranted.
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Affiliation(s)
- Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave, Rm 4443, Los Angeles, CA 90089, USA
| | - Jun Wu
- Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Anteater Instruction & Research Bldg (AIRB) # 2034, 653 East Peltason Drive, Irvine, CA 92697-3957, USA
| | - Chiuchen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave, Rm 4443, Los Angeles, CA 90089, USA
| | - Juan Yang
- Department of Epidemiology and Biostatistics, University of California, 550 16th Street, Box 0560, San Francisco, CA 94158, USA
| | - Salma Shariff-Marco
- Department of Epidemiology and Biostatistics, University of California, 550 16th Street, Box 0560, San Francisco, CA 94158, USA
| | - Scott Fruin
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave, Rm 4443, Los Angeles, CA 90089, USA
| | - Timothy Larson
- Department of Civil & Environmental Engineering, University of Washington, 269 Wilcox Hall Box352700, School of Public Health, Seattle, WA 98195, USA
| | - Veronica W Setiawan
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave, Rm 4443, Los Angeles, CA 90089, USA
| | - Shahir Masri
- Program in Public Health, Susan and Henry Samueli College of Health Sciences, University of California, Anteater Instruction & Research Bldg (AIRB) # 2034, 653 East Peltason Drive, Irvine, CA 92697-3957, USA
| | - Jacqueline Porcel
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave, Rm 4443, Los Angeles, CA 90089, USA
| | - Jennifer Jain
- Frontdoor Inc, 150 Peabody Place, Memphis, TN 38103, USA
| | - Thomas C Chen
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, GNH 3300, Mail code, Los Angeles, CA 90089-9314, USA
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1441 Eastlake Ave, Rm 4443, Los Angeles, CA 90089, USA
| | - Loïc Le Marchand
- Epidemiology Program, University of Hawaii Cancer Center, 701 Ilalo Street. Honolulu, HI 96813, USA
| | - Beate Ritz
- Department of Epidemiology, School of Public Health, University of California, 650 Charles Young Dr. South, Los Angeles, CA 90095-1772, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, 550 16th Street, Box 0560, San Francisco, CA 94158, USA
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20
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Lin CHA, Berger MS. Advancing neuro-oncology of glial tumors from big data and multidisciplinary studies. J Neurooncol 2019; 146:1-7. [PMID: 31853838 DOI: 10.1007/s11060-019-03369-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 12/11/2019] [Indexed: 01/07/2023]
Abstract
INTRODUCTION Multidisciplinary studies for glial tumors has produced an enormous amount of information including imaging, histology, and a large cohort of molecular data (i.e. genomics, epigenomics, metabolomics, proteomics, etc.). The big data resources are made possible through open access that offers great potential for new biomarker or therapeutic intervention via deep-learning and/or machine learning for integrated multi-omics analysis. An equally important effort to define the hallmarks of glial tumors will also advance precision neuro-oncology and inform patient-specific therapeutics. This review summarizes past studies regarding tumor classification, hallmarks of cancer, and hypothetical mechanisms. Leveraging on advanced big data approaches and ongoing cross-disciplinary endeavors, this review also discusses how to integrate multiple layers of big data toward the goal of precision medicine. RESULTS In addition to basic research of cancer biology, the results from integrated multi-omics analysis will highlight biological processes and potential candidates as biomarkers or therapeutic targets. Ultimately, these collective resources built upon an armamentarium of accessible data can re-form clinical and molecular data to stratify patient-tailored therapy. CONCLUSION We envision that a comprehensive understanding of the link between molecular signatures, tumor locations, and patients' history will identify a molecular taxonomy of glial tumors to advance the improvements in early diagnosis, prevention, and treatment.
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Affiliation(s)
- Chin-Hsing Annie Lin
- Department of Biology, University of Texas at San Antonio, BSB 2.03.24, One UTSA Circle, San Antonio, TX, USA
- Neuroscience Institute, University of Texas at San Antonio, San Antonio, TX, USA
| | - Mitchel S Berger
- Department of Neurological Surgery, University of California at San Francisco, San Francisco, CA, USA.
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21
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Vienne-Jumeau A, Tafani C, Ricard D. Environmental risk factors of primary brain tumors: A review. Rev Neurol (Paris) 2019; 175:664-678. [DOI: 10.1016/j.neurol.2019.08.004] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 08/05/2019] [Accepted: 08/27/2019] [Indexed: 02/06/2023]
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22
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Nabizadeh R, Yousefian F, Moghadam VK, Hadei M. Characteristics of cohort studies of long-term exposure to PM 2.5: a systematic review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:30755-30771. [PMID: 31494855 DOI: 10.1007/s11356-019-06382-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 08/29/2019] [Indexed: 06/10/2023]
Abstract
This study systematically reviewed all the cohort studies investigating the relationship between long-term exposure to PM2.5 and any health outcome until February 2018. We searched ISI Web of Knowledge, Pubmed, and Scopus databases for peer-reviewed journal research articles published in English. We only extracted the results of the single-pollutant main analysis of each study, excluding the effect modifications and sensitivity analyses. Out of the initial 9523 articles, 203 articles were ultimately included for analysis. Based on the different characteristics of studies such as study design, outcome, exposure assessment method, and statistical model, we calculated the number and relative frequency of analyses with statistically significant and insignificant results. Most of the studies were prospective (84.8%), assessed both genders (66.5%), and focused on a specific age range (86.8%). Most of the articles (78.1%) had used modeling techniques for exposure assessment of cohorts' participants. Among the total of 317 health outcomes, the most investigated outcomes include mortality due to cardiovascular disease (6.19%), all causes (5.48%), lung cancer (4.00%), ischemic heart disease (3.50%), and non-accidental causes (3.50%). The percentage of analyses with statistically significant results were higher among studies that used prospective design, mortality as the outcome, fixed stations as exposure assessment method, hazard ratio as risk measure, and no covariate adjustment. We can somehow conclude that the choice of right characteristics for cohort studies can make a difference in their results.
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Affiliation(s)
- Ramin Nabizadeh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Yousefian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Kazemi Moghadam
- Department of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Mostafa Hadei
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
- Students' Scientific Research Center (SSRC), Tehran University of Medical Sciences, Tehran, Iran.
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23
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Abstract
Supplemental Digital Content is available in the text. Background: Concentrations of outdoor nitrogen dioxide (NO2) have been associated with increased mortality. Hazard ratios (HRs) from cohort studies are used to assess population health impact and burden. We undertook meta-analyses to derive concentration–response functions suitable for such evaluations and assessed their sensitivity to study selection based upon cohort characteristics. Methods: We searched online databases and existing reviews for cohort studies published to October 2016 that reported HRs for NO2 and mortality. We calculated meta-analytic summary estimates using fixed/random-effects models. Results: We identified 48 articles analyzing 28 cohorts. Meta-analysis of HRs found positive associations between NO2 and all cause (1.02 [95% confidence interval (CI): 1.01, 1.03]; prediction interval [PI]: [0.99, 1.06] per 10 µg/m3 increment in NO2), cardiovascular (1.03 [95% CI: 1.02, 1.05]; PI: [0.98, 1.08]), respiratory (1.03 [95% CI: 1.01, 1.05]; PI: [0.97, 1.10]), and lung cancer mortality (1.05 [95% CI: 1.02, 1.08]; PI: [0.94, 1.17]) with evidence of substantial heterogeneity between studies. In subgroup analysis, summary HRs varied by age at cohort entry, spatial resolution of pollution estimates, and adjustment for smoking and body mass index at the individual level; for some subgroups, the HR was close to unity, with lower confidence limits below 1. Conclusions: Given the many uncertainties inherent in the assessment of this evidence base and the sensitivity of health impact calculations to small changes in the magnitude of the HRs, calculation of the impact on health of policies to reduce long-term exposure to NO2 should use prediction intervals and report ranges of impact rather than focusing upon point estimates.
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24
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Andersen ZJ, Pedersen M, Weinmayr G, Stafoggia M, Galassi C, Jørgensen JT, Sommar JN, Forsberg B, Olsson D, Oftedal B, Aasvang GM, Schwarze P, Pyko A, Pershagen G, Korek M, Faire UD, Östenson CG, Fratiglioni L, Eriksen KT, Poulsen AH, Tjønneland A, Bräuner EV, Peeters PH, Bueno-de-Mesquita B, Jaensch A, Nagel G, Lang A, Wang M, Tsai MY, Grioni S, Marcon A, Krogh V, Ricceri F, Sacerdote C, Migliore E, Vermeulen R, Sokhi R, Keuken M, de Hoogh K, Beelen R, Vineis P, Cesaroni G, Brunekreef B, Hoek G, Raaschou-Nielsen O. Long-term exposure to ambient air pollution and incidence of brain tumor: the European Study of Cohorts for Air Pollution Effects (ESCAPE). Neuro Oncol 2019; 20:420-432. [PMID: 29016987 PMCID: PMC5817954 DOI: 10.1093/neuonc/nox163] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Background Epidemiological evidence on the association between ambient air pollution and brain tumor risk is sparse and inconsistent. Methods In 12 cohorts from 6 European countries, individual estimates of annual mean air pollution levels at the baseline residence were estimated by standardized land-use regression models developed within the ESCAPE and TRANSPHORM projects: particulate matter (PM) ≤2.5, ≤10, and 2.5–10 μm in diameter (PM2.5, PM10, and PMcoarse), PM2.5 absorbance, nitrogen oxides (NO2 and NOx) and elemental composition of PM. We estimated cohort-specific associations of air pollutant concentrations and traffic intensity with total, malignant, and nonmalignant brain tumor, in separate Cox regression models, adjusting for risk factors, and pooled cohort-specific estimates using random-effects meta-analyses. Results Of 282194 subjects from 12 cohorts, 466 developed malignant brain tumors during 12 years of follow-up. Six of the cohorts also had data on nonmalignant brain tumor, where among 106786 subjects, 366 developed brain tumor: 176 nonmalignant and 190 malignant. We found a positive, statistically nonsignificant association between malignant brain tumor and PM2.5 absorbance (hazard ratio and 95% CI: 1.67; 0.89–3.14 per 10–5/m3), and weak positive or null associations with the other pollutants. Hazard ratio for PM2.5 absorbance (1.01; 0.38–2.71 per 10–5/m3) and all other pollutants were lower for nonmalignant than for malignant brain tumors. Conclusion We found suggestive evidence of an association between long-term exposure to PM2.5 absorbance indicating traffic-related air pollution and malignant brain tumors, and no association with overall or nonmalignant brain tumors.
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Affiliation(s)
- Zorana J Andersen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Marie Pedersen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Massimo Stafoggia
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RM1, Rome, Italy.,Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Claudia Galassi
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Jeanette T Jørgensen
- Center for Epidemiology and Screening, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Johan N Sommar
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Bertil Forsberg
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - David Olsson
- Occupational and Environmental Medicine, Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | | | - Per Schwarze
- Norwegian Institute of Public Health, Oslo, Norway
| | - Andrei Pyko
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Michal Korek
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.,Netherlands Organization for Applied Scientific Research, Utrecht, Netherlands
| | - Ulf De Faire
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Claes-Göran Östenson
- Department of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden
| | - Laura Fratiglioni
- Aging Research Center, Department of Neurobiology Care Science and Society, Karolinska Institute, Stockholm, Sweden
| | - Kirsten T Eriksen
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden
| | - Aslak H Poulsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Anne Tjønneland
- The Danish Cancer Society Research Center, Copenhagen, Denmark
| | - Elvira Vaclavik Bräuner
- Department of Occupational and Environmental Medicine, Bispebjerg-Frederiksberg Hospital, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.,Biomarkers and Clinical Resreach in Eating Disorders, Ballerup Center for Mental Health Services, Capitol Region of Denmark, Rigshospitalt- Ballerup, Denmark
| | - Petra H Peeters
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK
| | - Bas Bueno-de-Mesquita
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment, Bilthoven, Netherlands.,Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Andrea Jaensch
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany
| | - Gabriele Nagel
- Institute of Epidemiology and Medical Biometry, Ulm University, Ulm, Germany.,Vorarlberg Cancer Registry, Bregenz, Austria
| | - Alois Lang
- Vorarlberg Cancer Registry, Bregenz, Austria
| | - Meng Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ming-Yi Tsai
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.,Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland
| | - Sara Grioni
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Alessandro Marcon
- Unit of Epidemiology & Medical Statistics, Department of Diagnostics and Public Health, University of Verona, Verona, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Fulvio Ricceri
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy.,Unit of Epidemiology, Regional Health Service ASL TO3, Grugliasco, Italy
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Enrica Migliore
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Roel Vermeulen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ranjeet Sokhi
- Centre for Atmospheric and Instrumentation Research, University of Hertfordshire, College Lane, Hatfield, UK
| | - Menno Keuken
- Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.,Netherlands Organization for Applied Scientific Research, Utrecht, Netherlands
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Basel, Switzerland, University of Basel, Basel, Switzerland.,University of Basel, Basel, Switzerland
| | - Rob Beelen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands.,National Institute for Public Health and the Environment, Bilthoven, Netherlands
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College, London, UK.,Molecular end Epidemiology Unit, HuGeF, Human Genetics Foundation, Torino, Italy
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Regional Health Service, Local Health Unit ASL RM1, Rome, Italy
| | - Bert Brunekreef
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Netherlands.,Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands
| | - Ole Raaschou-Nielsen
- The Danish Cancer Society Research Center, Copenhagen, Denmark.,Department of Environmental Science, Aarhus University, Roskilde, Denmark
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25
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Kim HB, Shim JY, Park B, Lee YJ. Long-Term Exposure to Air Pollutants and Cancer Mortality: A Meta-Analysis of Cohort Studies. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:E2608. [PMID: 30469439 PMCID: PMC6266691 DOI: 10.3390/ijerph15112608] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 11/13/2018] [Accepted: 11/15/2018] [Indexed: 01/11/2023]
Abstract
The aim of this study was to examine the relationship between main air pollutants and all cancer mortality by performing a meta-analysis. We searched PubMed, EMBASE (a biomedical and pharmacological bibliographic database of published literature produced by Elsevier), and the reference lists of other reviews until April 2018. A random-effects model was employed to analyze the meta-estimates of each pollutant. A total of 30 cohort studies were included in the final analysis. Overall risk estimates of cancer mortality for 10 µg/m³ per increase of particulate matter (PM)2.5, PM10, and NO₂ were 1.17 (95% confidence interval (CI): 1.11⁻1.24), 1.09 (95% CI: 1.04⁻1.14), and 1.06 (95% CI: 1.02⁻1.10), respectively. With respect to the type of cancer, significant hazardous influences of PM2.5 were noticed for lung cancer mortality and non-lung cancer mortality including liver cancer, colorectal cancer, bladder cancer, and kidney cancer, respectively, while PM10 had harmful effects on mortality from lung cancer, pancreas cancer, and larynx cancer. Our meta-analysis of cohort studies indicates that exposure to the main air pollutants is associated with increased mortality from all cancers.
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Affiliation(s)
- Hong-Bae Kim
- Department of Family Medicine, MyongJi Hospital, Hanyang University Medical Center, 14-55 Hwasu-ro, Deokyang-gu, Goyang, Gyeonggi-do 10475, Korea.
- Department of Medicine, Graduate School of Yonsei University, 50-1 Yonsei-ro, Seodaemoon-gu, Seoul 03722, Korea.
| | - Jae-Yong Shim
- Department of Medicine, Graduate School of Yonsei University, 50-1 Yonsei-ro, Seodaemoon-gu, Seoul 03722, Korea.
- Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemoon-gu, Seoul 03722, Korea.
| | - Byoungjin Park
- Department of Medicine, Graduate School of Yonsei University, 50-1 Yonsei-ro, Seodaemoon-gu, Seoul 03722, Korea.
- Department of Family Medicine, Yongin Severance Hospital, 225 Gumhak-ro, Cheoin-gu, Yongin, Gyeonggi-do 17046, Korea.
| | - Yong-Jae Lee
- Department of Medicine, Graduate School of Yonsei University, 50-1 Yonsei-ro, Seodaemoon-gu, Seoul 03722, Korea.
- Department of Family Medicine, Gangnam Severance Hospital, 211 UnJu-ro, Seoul 06273, Korea.
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26
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Turner MC, Krewski D, Diver WR, Pope CA, Burnett RT, Jerrett M, Marshall JD, Gapstur SM. Ambient Air Pollution and Cancer Mortality in the Cancer Prevention Study II. ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:087013. [PMID: 28886601 PMCID: PMC5783657 DOI: 10.1289/ehp1249] [Citation(s) in RCA: 137] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 03/31/2017] [Accepted: 03/31/2017] [Indexed: 05/18/2023]
Abstract
BACKGROUND The International Agency for Research on Cancer classified both outdoor air pollution and airborne particulate matter as carcinogenic to humans (Group 1) for lung cancer. There may be associations with cancer at other sites; however, the epidemiological evidence is limited. OBJECTIVE The aim of this study was to clarify whether ambient air pollution is associated with specific types of cancer other than lung cancer by examining associations of ambient air pollution with nonlung cancer death in the Cancer Prevention Study II (CPS-II). METHODS Analysis included 623,048 CPS-II participants who were followed for 22 y (1982-2004). Modeled estimates of particulate matter with aerodynamic diameter <2.5µm (PM2.5) (1999-2004), nitrogen dioxide (NO2) (2006), and ozone (O3) (2002-2004) concentrations were linked to the participant residence at enrollment. Cox proportional hazards models were used to estimate associations per each fifth percentile-mean increment with cancer mortality at 29 anatomic sites, adjusted for individual and ecological covariates. RESULTS We observed 43,320 nonlung cancer deaths. PM2.5 was significantly positively associated with death from cancers of the kidney {adjusted hazard ratio (HR) per 4.4 μg/m3=1.14 [95% confidence interval (CI): 1.03, 1.27]} and bladder [HR=1.13 (95% CI: 1.03, 1.23)]. NO2 was positively associated with colorectal cancer mortality [HR per 6.5 ppb=1.06 (95% CI: 1.02, 1.10). The results were similar in two-pollutant models including PM2.5 and NO2 and in three-pollutant models with O3. We observed no statistically significant positive associations with death from other types of cancer based on results from adjusted models. CONCLUSIONS The results from this large prospective study suggest that ambient air pollution was not associated with death from most nonlung cancers, but associations with kidney, bladder, and colorectal cancer death warrant further investigation. https://doi.org/10.1289/EHP1249.
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Affiliation(s)
- Michelle C Turner
- McLaughlin Centre for Population Health Risk Assessment, University of Ottawa , Ottawa, Canada
- Barcelona Institute for Global Health (ISGlobal) , Barcelona, Spain
- Universitat Pompeu Fabra (UPF) , Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP) , Madrid, Spain
| | - Daniel Krewski
- McLaughlin Centre for Population Health Risk Assessment, University of Ottawa , Ottawa, Canada
- School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa , Ottawa, Canada
| | - W Ryan Diver
- Epidemiology Research Program, American Cancer Society , Atlanta, Georgia, USA
| | - C Arden Pope
- Department of Economics, Brigham Young University , Provo, Utah, USA
| | | | - Michael Jerrett
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California Los Angeles , Los Angeles, California, USA
| | - Julian D Marshall
- Department of Civil and Environmental Engineering, University of Washington , Seattle, Washington, USA
| | - Susan M Gapstur
- Epidemiology Research Program, American Cancer Society , Atlanta, Georgia, USA
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27
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Silva-Fernandes IJDL, Oliveira ESD, Santos JC, Ribeiro ML, Ferrasi AC, Pardini MIDMC, Burbano RMR, Rabenhorst SHB. The intricate interplay between MSI and polymorphisms of DNA repair enzymes in gastric cancer H.pylori associated. Mutagenesis 2017; 32:471-478. [DOI: 10.1093/mutage/gex013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Accepted: 04/24/2017] [Indexed: 12/15/2022] Open
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28
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Jørgensen JT, Johansen MS, Ravnskjær L, Andersen KK, Bräuner EV, Loft S, Ketzel M, Becker T, Brandt J, Hertel O, Andersen ZJ. Long-term exposure to ambient air pollution and incidence of brain tumours: The Danish Nurse Cohort. Neurotoxicology 2016; 55:122-130. [DOI: 10.1016/j.neuro.2016.06.003] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2016] [Revised: 06/01/2016] [Accepted: 06/01/2016] [Indexed: 01/18/2023]
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29
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Poulsen AH, Sørensen M, Andersen ZJ, Ketzel M, Raaschou-Nielsen O. Air pollution from traffic and risk for brain tumors: a nationwide study in Denmark. Cancer Causes Control 2016; 27:473-80. [DOI: 10.1007/s10552-016-0721-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 01/14/2016] [Indexed: 11/28/2022]
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30
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Hoek G, Raaschou-Nielsen O. Impact of fine particles in ambient air on lung cancer. CHINESE JOURNAL OF CANCER 2014; 33:197-203. [PMID: 24636231 PMCID: PMC3975185 DOI: 10.5732/cjc.014.10039] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Recently, the International Agency for Research on Cancer (IARC) has classified outdoor air pollution and the particulate matter component of outdoor air pollution as class I carcinogen. Air pollution is consistently associated with lung cancer in epidemiologic and experimental studies. The IARC assessment is specifically designed as hazard identification, and it does not quantify the magnitude of the cancer risk. This article addresses the magnitude of the lung cancer risk in the population due to ambient air pollution exposure.
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Affiliation(s)
- Gerard Hoek
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
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31
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Genc S, Zadeoglulari Z, Fuss SH, Genc K. The adverse effects of air pollution on the nervous system. J Toxicol 2012; 2012:782462. [PMID: 22523490 PMCID: PMC3317189 DOI: 10.1155/2012/782462] [Citation(s) in RCA: 344] [Impact Index Per Article: 28.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2011] [Accepted: 11/15/2011] [Indexed: 12/20/2022] Open
Abstract
Exposure to ambient air pollution is a serious and common public health concern associated with growing morbidity and mortality worldwide. In the last decades, the adverse effects of air pollution on the pulmonary and cardiovascular systems have been well established in a series of major epidemiological and observational studies. In the recent past, air pollution has also been associated with diseases of the central nervous system (CNS), including stroke, Alzheimer's disease, Parkinson's disease, and neurodevelopmental disorders. It has been demonstrated that various components of air pollution, such as nanosized particles, can easily translocate to the CNS where they can activate innate immune responses. Furthermore, systemic inflammation arising from the pulmonary or cardiovascular system can affect CNS health. Despite intense studies on the health effects of ambient air pollution, the underlying molecular mechanisms of susceptibility and disease remain largely elusive. However, emerging evidence suggests that air pollution-induced neuroinflammation, oxidative stress, microglial activation, cerebrovascular dysfunction, and alterations in the blood-brain barrier contribute to CNS pathology. A better understanding of the mediators and mechanisms will enable the development of new strategies to protect individuals at risk and to reduce detrimental effects of air pollution on the nervous system and mental health.
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Affiliation(s)
- Sermin Genc
- Department of Neuroscience, Health Science Institute, Dokuz Eylul University, Inciralti, 35340 Izmir, Turkey
| | - Zeynep Zadeoglulari
- Department of Neuroscience, Health Science Institute, Dokuz Eylul University, Inciralti, 35340 Izmir, Turkey
| | - Stefan H. Fuss
- Department of Molecular Biology and Genetics, Bogazici University, 34342 Istanbul, Turkey
| | - Kursad Genc
- Department of Neuroscience, Health Science Institute, Dokuz Eylul University, Inciralti, 35340 Izmir, Turkey
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32
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Raaschou-Nielsen O, Andersen ZJ, Hvidberg M, Jensen SS, Ketzel M, Sørensen M, Hansen J, Loft S, Overvad K, Tjønneland A. Air pollution from traffic and cancer incidence: a Danish cohort study. Environ Health 2011; 10:67. [PMID: 21771295 PMCID: PMC3157417 DOI: 10.1186/1476-069x-10-67] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2011] [Accepted: 07/19/2011] [Indexed: 04/14/2023]
Abstract
BACKGROUND Vehicle engine exhaust includes ultrafine particles with a large surface area and containing absorbed polycyclic aromatic hydrocarbons, transition metals and other substances. Ultrafine particles and soluble chemicals can be transported from the airways to other organs, such as the liver, kidneys, and brain. Our aim was to investigate whether air pollution from traffic is associated with risk for other cancers than lung cancer. METHODS We followed up 54,304 participants in the Danish Diet Cancer and Health cohort for 20 selected cancers in the Danish Cancer Registry, from enrolment in 1993-1997 until 2006, and traced their residential addresses from 1971 onwards in the Central Population Registry. We used modeled concentration of nitrogen oxides (NO(x)) and amount of traffic at the residence as indicators of traffic-related air pollution and used Cox models to estimate incidence rate ratios (IRRs) after adjustment for potential confounders. RESULTS NO(x) at the residence was significantly associated with risks for cervical cancer (IRR, 2.45; 95% confidence interval [CI], 1.01;5.93, per 100 μg/m(3) NO(x)) and brain cancer (IRR, 2.28; 95% CI, 1.25;4.19, per 100 μg/m(3) NO(x)). CONCLUSIONS This hypothesis-generating study indicates that traffic-related air pollution might increase the risks for cervical and brain cancer, which should be tested in future studies.
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Affiliation(s)
- Ole Raaschou-Nielsen
- Institute of Cancer Epidemiology, Danish Cancer Society, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Zorana J Andersen
- Institute of Cancer Epidemiology, Danish Cancer Society, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Martin Hvidberg
- Department for Atmospheric Environment, National Environmental Research Institute, Aarhus University, Denmark
| | - Steen S Jensen
- Department for Atmospheric Environment, National Environmental Research Institute, Aarhus University, Denmark
| | - Matthias Ketzel
- Department for Atmospheric Environment, National Environmental Research Institute, Aarhus University, Denmark
| | - Mette Sørensen
- Institute of Cancer Epidemiology, Danish Cancer Society, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Johnni Hansen
- Institute of Cancer Epidemiology, Danish Cancer Society, Strandboulevarden 49, 2100 Copenhagen, Denmark
| | - Steffen Loft
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Denmark
| | - Kim Overvad
- Department of Epidemiology, Institute of Public Health, Aarhus University, Denmark
| | - Anne Tjønneland
- Institute of Cancer Epidemiology, Danish Cancer Society, Strandboulevarden 49, 2100 Copenhagen, Denmark
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