Effects of spatial variation in dose delivery: what can we learn from radon-related lung cancer studies?
Radiat Environ Biophys
; 61(4): 561-577, 2022 11.
Article
in En
| MEDLINE
| ID: mdl-36208308
ABSTRACT
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.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Radiation Protection
/
Radon
/
Lung Neoplasms
/
Neoplasms, Radiation-Induced
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Child
/
Humans
Language:
En
Journal:
Radiat Environ Biophys
Year:
2022
Type:
Article
Affiliation country:
Hungary