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Advances in Assessment of Environmental Exposure and Risk of Cancer

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Health".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 5067

Special Issue Editor


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Guest Editor
Department of Population Sciences, Beckman Research Institute, City of Hope Cancer Center, Duarte, CA 91010, USA
Interests: health geography; GeoAI; exposure assessment; body worn sensors; cancer related outcomes

Special Issue Information

Dear Colleagues,

Cancer is a complex disease caused by a confluence of factors. The environment, which can include built, natural, and socio-cultural elements, plays a major role in cancer. Environmental factors can act in protective capacities, for example by providing positive spaces for risk reducing behaviors. They can also increase cancer risk through direct biological routes such as exposures to pollutants or chemicals, as well as indirect routes like increased inflammatory response due to stressful socioeconomic conditions. Inclusion of environmental and neighborhood-level factors in cancer risk and outcome assessment is an essential aspect of understanding risk differentials among various populations and communities. Resulting research builds evidence for policy and planning initiatives to change environments long term and to support more equitable distribution of resources. 

In the past decade, significant advances have been made in the assessment of environmental exposures and their role in cancer outcomes. This special issue of the International Journal of Environmental Research and Public Health focuses on these methodological advancements and the resulting knowledge gained about the relationship between environmental exposures and cancer risk and outcomes. New research, reviews, case reports, commentaries, brief reports, and methodological papers are welcome to this issue. Example topics that could be addressed include:

  • Quantifying environmental exposure using human mobility data
  • Frameworks for integrating highly resolved spatiotemporal environmental and cancer-related health data
  • Advances in methods of mobility pattern mining from trajectory data that can be applied to cancer-related outcomes
  • New methods and technologies for measuring exposures
  • Applications of mixture methodologies for investigating effects of multiple environmental exposures on cancer-related outcomes
  • Natural experiments assessing differences in environmental exposures on cancer risk and outcomes
  • Open source/low-cost sensor data for environmental measurements
  • Real-time exposure monitoring

Dr. Marta Maja Jankowska
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • environmental exposure
  • mixture analysis
  • exposome
  • biomarkers
  • cancer risk assessment
  • social determinants of health
  • sensors

Published Papers (3 papers)

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Research

15 pages, 1421 KiB  
Article
Evaluation of a Novel Ambient Light Survey Question in the Cancer Prevention Study-3
by W. Ryan Diver, Mariana G. Figueiro, Mark S. Rea, James M. Hodge, W. Dana Flanders, Charlie Zhong, Alpa V. Patel and Susan M. Gapstur
Int. J. Environ. Res. Public Health 2023, 20(4), 3658; https://doi.org/10.3390/ijerph20043658 - 18 Feb 2023
Cited by 1 | Viewed by 1527
Abstract
Nighttime light exposure may increase cancer risk by disrupting the circadian system. However, there is no well-established survey method for measuring ambient light. In the Cancer Prevention Study-3, 732 men and women answered a light survey based on seven environments. The light environment [...] Read more.
Nighttime light exposure may increase cancer risk by disrupting the circadian system. However, there is no well-established survey method for measuring ambient light. In the Cancer Prevention Study-3, 732 men and women answered a light survey based on seven environments. The light environment in the past year was assessed twice, one year apart, and four one-week diaries were collected between the annual surveys. A total of 170 participants wore a meter to measure photopic illuminance and circadian stimulus (CS). Illuminance and CS values were estimated for lighting environments from measured values and evaluated with a cross validation approach. The kappas for self-reported light environment comparing the two annual surveys were 0.61 on workdays and 0.49 on non-workdays. Kappas comparing the annual survey to weekly diaries were 0.71 and 0.57 for work and non-workdays, respectively. Agreement was highest for reporting of darkness (95.3%), non-residential light (86.5%), and household light (75.6%) on workdays. Measured illuminance and CS identified three peaks of light (darkness, indoor lighting, and outdoor daytime light). Estimated illuminance and CS were correlated with the measured values overall (r = 0.77 and r = 0.67, respectively) but were less correlated within each light environment (r = 0.23–0.43). The survey has good validity to assess ambient light for studies of human health. Full article
(This article belongs to the Special Issue Advances in Assessment of Environmental Exposure and Risk of Cancer)
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16 pages, 862 KiB  
Article
Human Health Risk Assessment Is Associated with the Consumption of Metal-Contaminated Groundwater around the Marituba Landfill, Amazonia, Brazil
by Thaís Karolina Lisboa de Queiroz, Volney de Magalhães Câmara, Karytta Sousa Naka, Lorena de Cássia dos Santos Mendes, Brenda Rodrigues Chagas, Iracina Maura de Jesus, Armando Meyer and Marcelo de Oliveira Lima
Int. J. Environ. Res. Public Health 2022, 19(21), 13865; https://doi.org/10.3390/ijerph192113865 - 25 Oct 2022
Cited by 4 | Viewed by 1232
Abstract
Groundwater is present in its purest form beneath the earth’s surface. However, metal contamination is potentially a problem faced by many countries. For this reason, the present study aims to make an assessment of the risks associated with groundwater consumption around the Marituba [...] Read more.
Groundwater is present in its purest form beneath the earth’s surface. However, metal contamination is potentially a problem faced by many countries. For this reason, the present study aims to make an assessment of the risks associated with groundwater consumption around the Marituba landfill in an Amazon region. The present study was characterized as transversal with the use of primary data. The sampling occurred in a stratified random way, performed in two radii of action being the 1st radius of 2.5 km away from the landfill and the 2nd radius of 3.5 km away from the landfill to the neighborhoods. A total of 184 points were collected. In all communities the average daily dose (ADD) was higher than the reference oral dose (Rfd), for the metals As, Pb and Mn the risk quotient (HQ) was greater than 1 (one) in all neighborhoods, the concentration of Mn in the least exposed neighborhood was greater than 10 µg.L−1, even at a distance of 3.5 km from the landfill. The average concentrations for As and Pb did not exceed the recommended, however, they were more significant for the Beira Rio neighborhood, respectively 1.47 µg.L−1 and 1.9 µg.L−1. And the average concentration for Cu was more significant for the Uriboca neighborhood 18.20 µg.L−1, but within the recommended. The average of the general concentration of Heavy Metals Pollution Index (HPI) of the water consumed was 80.03, indicating that the water consumed by the population is contaminated by metals. Full article
(This article belongs to the Special Issue Advances in Assessment of Environmental Exposure and Risk of Cancer)
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10 pages, 698 KiB  
Article
The Role of Neighborhood Air Pollution Exposure on Somatic Non-Small Cell Lung Cancer Mutations in the Los Angeles Basin (2013–2018)
by Noémie Letellier, Sam E. Wing, Jiue-An Yang, Stacy W. Gray, Tarik Benmarhnia, Loretta Erhunmwunsee and Marta M. Jankowska
Int. J. Environ. Res. Public Health 2022, 19(17), 11027; https://doi.org/10.3390/ijerph191711027 - 03 Sep 2022
Cited by 3 | Viewed by 1641
Abstract
Limited previous work has identified a relationship between exposure to ambient air pollution and aggressive somatic lung tumor mutations. More work is needed to confirm this relationship, especially using spatially resolved air pollution. We aimed to quantify the association between different air pollution [...] Read more.
Limited previous work has identified a relationship between exposure to ambient air pollution and aggressive somatic lung tumor mutations. More work is needed to confirm this relationship, especially using spatially resolved air pollution. We aimed to quantify the association between different air pollution metrics and aggressive tumor biology. Among patients treated at City of Hope Comprehensive Cancer Center in Duarte, CA (2013–2018), three non-small cell lung cancer somatic tumor mutations, TP53, KRAS, and KRAS G12C/V, were documented. PM2.5 exposure was assessed using state-of-the art ensemble models five and ten years before lung cancer diagnosis. We also explored the role of NO2 using inverse-distance-weighting approaches. We fitted logistic regression models to estimate odds ratio (OR) and their 95% confidence intervals (CIs). Among 435 participants (median age: 67, female: 51%), an IQR increase in NO2 exposure (3.5 μg/m3) five years before cancer diagnosis was associated with an increased risk in TP53 mutation (OR, 95% CI: 1.30, 0.99–1.71). We found an association between highly-exposed participants to PM2.5 (>12 μg/m3) five and ten years before cancer diagnosis and TP53 mutation (OR, 95% CI: 1.61, 0.95–2.73; 1.57, 0.93–2.64, respectively). Future studies are needed to confirm this association and better understand how air pollution impacts somatic profiles and the molecular mechanisms through which they operate. Full article
(This article belongs to the Special Issue Advances in Assessment of Environmental Exposure and Risk of Cancer)
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