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Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies?
Exposure to radon progeny results in heterogeneous dose distributions in many different spatial scales. The aim of this review is to provide an overview on the state of the art in epidemiology, clinical observations, cell biology, dosimetry, and modelling related to radon exposure and its associatio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630403/ https://www.ncbi.nlm.nih.gov/pubmed/36208308 http://dx.doi.org/10.1007/s00411-022-00998-y |
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author | Madas, Balázs G. Boei, Jan Fenske, Nora Hofmann, Werner Mezquita, Laura |
author_facet | Madas, Balázs G. Boei, Jan Fenske, Nora Hofmann, Werner Mezquita, Laura |
author_sort | Madas, Balázs G. |
collection | PubMed |
description | Exposure to radon progeny results in heterogeneous dose distributions in many different spatial scales. The aim of this review is to provide an overview on the state of the art in epidemiology, clinical observations, cell biology, dosimetry, and modelling related to radon exposure and its association with lung cancer, along with priorities for future research. Particular attention is paid on the effects of spatial variation in dose delivery within the organs, a factor not considered in radiation protection. It is concluded that a multidisciplinary approach is required to improve risk assessment and mechanistic understanding of carcinogenesis related to radon exposure. To achieve these goals, important steps would be to clarify whether radon can cause other diseases than lung cancer, and to investigate radon-related health risks in children or persons at young ages. Also, a better understanding of the combined effects of radon and smoking is needed, which can be achieved by integrating epidemiological, clinical, pathological, and molecular oncology data to obtain a radon-associated signature. While in vitro models derived from primary human bronchial epithelial cells can help to identify new and corroborate existing biomarkers, they also allow to study the effects of heterogeneous dose distributions including the effects of locally high doses. These novel approaches can provide valuable input and validation data for mathematical models for risk assessment. These models can be applied to quantitatively translate the knowledge obtained from radon exposure to other exposures resulting in heterogeneous dose distributions within an organ to support radiation protection in general. |
format | Online Article Text |
id | pubmed-9630403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-96304032022-11-04 Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? Madas, Balázs G. Boei, Jan Fenske, Nora Hofmann, Werner Mezquita, Laura Radiat Environ Biophys Review Exposure to radon progeny results in heterogeneous dose distributions in many different spatial scales. The aim of this review is to provide an overview on the state of the art in epidemiology, clinical observations, cell biology, dosimetry, and modelling related to radon exposure and its association with lung cancer, along with priorities for future research. Particular attention is paid on the effects of spatial variation in dose delivery within the organs, a factor not considered in radiation protection. It is concluded that a multidisciplinary approach is required to improve risk assessment and mechanistic understanding of carcinogenesis related to radon exposure. To achieve these goals, important steps would be to clarify whether radon can cause other diseases than lung cancer, and to investigate radon-related health risks in children or persons at young ages. Also, a better understanding of the combined effects of radon and smoking is needed, which can be achieved by integrating epidemiological, clinical, pathological, and molecular oncology data to obtain a radon-associated signature. While in vitro models derived from primary human bronchial epithelial cells can help to identify new and corroborate existing biomarkers, they also allow to study the effects of heterogeneous dose distributions including the effects of locally high doses. These novel approaches can provide valuable input and validation data for mathematical models for risk assessment. These models can be applied to quantitatively translate the knowledge obtained from radon exposure to other exposures resulting in heterogeneous dose distributions within an organ to support radiation protection in general. Springer Berlin Heidelberg 2022-10-08 2022 /pmc/articles/PMC9630403/ /pubmed/36208308 http://dx.doi.org/10.1007/s00411-022-00998-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Madas, Balázs G. Boei, Jan Fenske, Nora Hofmann, Werner Mezquita, Laura Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? |
title | Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? |
title_full | Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? |
title_fullStr | Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? |
title_full_unstemmed | Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? |
title_short | Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? |
title_sort | effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630403/ https://www.ncbi.nlm.nih.gov/pubmed/36208308 http://dx.doi.org/10.1007/s00411-022-00998-y |
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