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      Exposure to low-level ambient air pollution and the relationship with lung and bladder cancer in older men, in Perth, Western Australia

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          Abstract

          Background

          Air pollution is a cause of lung cancer and is associated with bladder cancer. However, the relationship between air pollution and these cancers in regions of low pollution is unclear. We investigated associations between fine particulate matter (PM 2.5), nitrogen dioxide, and black carbon (BC), and both these cancers in a low-pollution city.

          Methods

          A cohort of 11,679 men ≥65 years old in Perth (Western Australia) were followed from 1996–1999 until 2018. Pollutant concentrations, as a time-varying variable, were estimated at participants’ residential addresses using land use regression models. Incident lung and bladder cancer were identified through the Western Australian Cancer Registry. Risks were estimated using Cox proportional-hazard models (age as the timescale), adjusting for smoking, socioeconomic status, and co-pollutants.

          Results

          Lung cancer was associated with PM 2.5 and BC in the adjusted single-pollutant models. A weak positive association was observed between ambient air pollution and squamous cell lung carcinoma but not lung adenocarcinoma. Positive associations were observed with bladder cancer, although these were not statistically significant. Associations were attenuated in two-pollutant models.

          Conclusion

          Low-level ambient air pollution is associated with lung, and possibly bladder, cancer among older men, suggesting there is no known safe level for air pollution as a carcinogen.

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          Most cited references40

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Air pollution and lung cancer incidence in 17 European cohorts: prospective analyses from the European Study of Cohorts for Air Pollution Effects (ESCAPE).

            Ambient air pollution is suspected to cause lung cancer. We aimed to assess the association between long-term exposure to ambient air pollution and lung cancer incidence in European populations. This prospective analysis of data obtained by the European Study of Cohorts for Air Pollution Effects used data from 17 cohort studies based in nine European countries. Baseline addresses were geocoded and we assessed air pollution by land-use regression models for particulate matter (PM) with diameter of less than 10 μm (PM10), less than 2·5 μm (PM2·5), and between 2·5 and 10 μm (PMcoarse), soot (PM2·5absorbance), nitrogen oxides, and two traffic indicators. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effects models for meta-analyses. The 312 944 cohort members contributed 4 013 131 person-years at risk. During follow-up (mean 12·8 years), 2095 incident lung cancer cases were diagnosed. The meta-analyses showed a statistically significant association between risk for lung cancer and PM10 (hazard ratio [HR] 1·22 [95% CI 1·03-1·45] per 10 μg/m(3)). For PM2·5 the HR was 1·18 (0·96-1·46) per 5 μg/m(3). The same increments of PM10 and PM2·5 were associated with HRs for adenocarcinomas of the lung of 1·51 (1·10-2·08) and 1·55 (1·05-2·29), respectively. An increase in road traffic of 4000 vehicle-km per day within 100 m of the residence was associated with an HR for lung cancer of 1·09 (0·99-1·21). The results showed no association between lung cancer and nitrogen oxides concentration (HR 1·01 [0·95-1·07] per 20 μg/m(3)) or traffic intensity on the nearest street (HR 1·00 [0·97-1·04] per 5000 vehicles per day). Particulate matter air pollution contributes to lung cancer incidence in Europe. European Community's Seventh Framework Programme. Copyright © 2013 Elsevier Ltd. All rights reserved.
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              Long-term exposure to PM and all-cause and cause-specific mortality: A systematic review and meta-analysis

              As new scientific evidence on health effects of air pollution is generated, air quality guidelines need to be periodically updated. The objective of this review is to support the derivation of updated guidelines by the World Health Organization (WHO) by performing a systematic review of evidence of associations between long-term exposure to particulate matter with diameter under 2.5 µm (PM2.5) and particulate matter with diameter under 10 µm (PM10), in relation to all-cause and cause-specific mortality. As there is especially uncertainty about the relationship at the low and high end of the exposure range, the review needed to provide an indication of the shape of the concentration-response function (CRF). We systematically searched MEDLINE and EMBASE from database inception to 9 October 2018. Articles were checked for eligibility by two reviewers. We included cohort and case-control studies on outdoor air pollution in human populations using individual level data. In addition to natural-cause mortality, we evaluated mortality from circulatory diseases (ischemic heart disease (IHD) and cerebrovascular disease (stroke) also specifically), respiratory diseases (Chronic Obstructive Pulmonary Disease (COPD) and acute lower respiratory infection (ALRI) also specifically) and lung cancer. A random-effect meta-analysis was performed when at least three studies were available for a specific exposure-outcome pair. Risk of bias was assessed for all included articles using a specifically developed tool coordinated by WHO. Additional analyses were performed to assess consistency across geographic region, explain heterogeneity and explore the shape of the CRF. An adapted GRADE (Grading of Recommendations Assessment, Development and Evaluation) assessment of the body of evidence was made using a specifically developed tool coordinated by WHO. A large number (N = 107) of predominantly cohort studies (N = 104) were included after screening more than 3000 abstracts. Studies were conducted globally with the majority of studies from North America (N = 62) and Europe (N = 25). More studies used PM2.5 (N = 71) as the exposure metric than PM10 (N = 42). PM2.5 was significantly associated with all causes of death evaluated. The combined Risk Ratio (RR) for PM2.5 and natural-cause mortality was 1.08 (95%CI 1.06, 1.09) per 10 µg/m3. Meta analyses of studies conducted at the low mean PM2.5 levels (<25, 20, 15, 12, 10 µg/m3) yielded RRs that were similar or higher compared to the overall RR, consistent with the finding of generally linear or supra-linear CRFs in individual studies. Pooled RRs were almost identical for studies conducted in North America, Europe and Western Pacific region. PM10 was significantly associated with natural-cause and most but not all causes of death. Application of the risk of bias tool showed that few studies were at a high risk of bias in any domain. Application of the adapted GRADE tool resulted in an assessment of "high certainty of evidence" for PM2.5 with all assessed endpoints except for respiratory mortality (moderate). The evidence was rated as less certain for PM10 and cause-specific mortality ("moderate" for circulatory, IHD, COPD and "low" for stroke mortality. Compared to the previous global WHO evaluation, the evidence base has increased substantially. However, studies conducted in low- and middle- income countries (LMICs) are still limited. There is clear evidence that both PM2.5 and PM10 were associated with increased mortality from all causes, cardiovascular disease, respiratory disease and lung cancer. Associations remained below the current WHO guideline exposure level of 10 µg/m3 for PM2.5. Systematic review registration number (PROSPERO ID): CRD42018082577.
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                Author and article information

                Contributors
                peter.franklin@uwa.edu.au
                jane.heyworth@uwa.edu.au
                Journal
                Br J Cancer
                Br J Cancer
                British Journal of Cancer
                Nature Publishing Group UK (London )
                0007-0920
                1532-1827
                8 September 2023
                8 September 2023
                26 October 2023
                : 129
                : 9
                : 1500-1509
                Affiliations
                [1 ]School of Population and Global Health, The University of Western Australia, ( https://ror.org/047272k79) Crawley, WA Australia
                [2 ]Western Australian Centre for Health and Ageing, The University of Western Australia, ( https://ror.org/047272k79) Crawley, WA Australia
                [3 ]GRID grid.418220.d, ISNI 0000 0004 1756 6019, Barcelona Institute for Global Health – Campus MAR, , Barcelona Biomedical Research Park, ; Barcelona, Spain
                [4 ]Medical School, The University of Western Australia, ( https://ror.org/047272k79) Crawley, WA Australia
                [5 ]Department of Endocrinology and Diabetes, Fiona Stanley Hospital, ( https://ror.org/027p0bm56) Perth, WA Australia
                [6 ]Perron Institute for Neurological and Translational Science, ( https://ror.org/04yn72m09) Perth, WA Australia
                [7 ]Queensland Research Centre for Peripheral Vascular Disease, James Cook University and Townsville University Hospital, ( https://ror.org/04gsp2c11) Townsville, QLD Australia
                [8 ]Curtin School of Population Health, Curtin University, ( https://ror.org/02n415q13) Perth, WA Australia
                [9 ]Deakin Health Economics, Institute for Health Transformation, Deakin University, ( https://ror.org/02czsnj07) Burwood, VIC Australia
                Author information
                http://orcid.org/0000-0001-6845-3637
                http://orcid.org/0000-0002-9983-1212
                Article
                2411
                10.1038/s41416-023-02411-x
                10628106
                37684355
                54df996f-4846-415e-8daa-b66c6f3a50e0
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 October 2022
                : 6 August 2023
                : 18 August 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000925, Department of Health | National Health and Medical Research Council (NHMRC);
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award ID: 1128083
                Award ID: 1003589
                Award Recipient :
                Funded by: Leon Flicker is funded by the Medical Research Future Fund Next Generational Clinical Researchers Practitioner Fellowship (1155669). Jonathan Golledge is funded by a NHMRC Practitioner Fellowship (1117061) and Queensland Government Senior Clinical Research Fellowship.
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Oncology & Radiotherapy
                epidemiology,cancer epidemiology,lung cancer,bladder cancer
                Oncology & Radiotherapy
                epidemiology, cancer epidemiology, lung cancer, bladder cancer

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