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Optimization of Cancer Risk Assessment Models for PM(2.5)-Bound PAHs: Application in Jingzhong, Shanxi, China
The accurate evaluation of the carcinogenic risk of PM(2.5)-bound polycyclic aromatic hydrocarbons (PAHs) is crucial because of the teratogenic, carcinogenic, and mutagenic effects of PAHs. The best model out of six models was selected across three highly used categories in recent years, including t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781926/ https://www.ncbi.nlm.nih.gov/pubmed/36548594 http://dx.doi.org/10.3390/toxics10120761 |
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author | Qi, Hongxue Liu, Ying Li, Lihong Zhao, Bingqing |
author_facet | Qi, Hongxue Liu, Ying Li, Lihong Zhao, Bingqing |
author_sort | Qi, Hongxue |
collection | PubMed |
description | The accurate evaluation of the carcinogenic risk of PM(2.5)-bound polycyclic aromatic hydrocarbons (PAHs) is crucial because of the teratogenic, carcinogenic, and mutagenic effects of PAHs. The best model out of six models was selected across three highly used categories in recent years, including the USEPA-recommended inhalation risk (Model I), inhalation carcinogen unit risk (Models IIA–IID), and three exposure pathways (inhalation, dermal, and oral) (Model III). Model I was found to be superior to the other models, and its predicted risk values were in accordance with the thresholds of PM(2.5) and benzo[a]pyrene in ambient-air-quality standards. Models IIA and III overestimated the risk of cancer compared to the actual cancer incidence in the local population. Model IID can replace Models IIB and IIC as these models exhibited no statistically significant differences between each other. Furthermore, the exposure parameters were optimized for Model I and significant differences were observed with respect to country and age. However, the gender difference was not statistically significant. In conclusion, Model I is recommended as the more suitable model, but in assessing cancer risk in the future, the exposure parameters must be appropriate for each country. |
format | Online Article Text |
id | pubmed-9781926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97819262022-12-24 Optimization of Cancer Risk Assessment Models for PM(2.5)-Bound PAHs: Application in Jingzhong, Shanxi, China Qi, Hongxue Liu, Ying Li, Lihong Zhao, Bingqing Toxics Article The accurate evaluation of the carcinogenic risk of PM(2.5)-bound polycyclic aromatic hydrocarbons (PAHs) is crucial because of the teratogenic, carcinogenic, and mutagenic effects of PAHs. The best model out of six models was selected across three highly used categories in recent years, including the USEPA-recommended inhalation risk (Model I), inhalation carcinogen unit risk (Models IIA–IID), and three exposure pathways (inhalation, dermal, and oral) (Model III). Model I was found to be superior to the other models, and its predicted risk values were in accordance with the thresholds of PM(2.5) and benzo[a]pyrene in ambient-air-quality standards. Models IIA and III overestimated the risk of cancer compared to the actual cancer incidence in the local population. Model IID can replace Models IIB and IIC as these models exhibited no statistically significant differences between each other. Furthermore, the exposure parameters were optimized for Model I and significant differences were observed with respect to country and age. However, the gender difference was not statistically significant. In conclusion, Model I is recommended as the more suitable model, but in assessing cancer risk in the future, the exposure parameters must be appropriate for each country. MDPI 2022-12-07 /pmc/articles/PMC9781926/ /pubmed/36548594 http://dx.doi.org/10.3390/toxics10120761 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Qi, Hongxue Liu, Ying Li, Lihong Zhao, Bingqing Optimization of Cancer Risk Assessment Models for PM(2.5)-Bound PAHs: Application in Jingzhong, Shanxi, China |
title | Optimization of Cancer Risk Assessment Models for PM(2.5)-Bound PAHs: Application in Jingzhong, Shanxi, China |
title_full | Optimization of Cancer Risk Assessment Models for PM(2.5)-Bound PAHs: Application in Jingzhong, Shanxi, China |
title_fullStr | Optimization of Cancer Risk Assessment Models for PM(2.5)-Bound PAHs: Application in Jingzhong, Shanxi, China |
title_full_unstemmed | Optimization of Cancer Risk Assessment Models for PM(2.5)-Bound PAHs: Application in Jingzhong, Shanxi, China |
title_short | Optimization of Cancer Risk Assessment Models for PM(2.5)-Bound PAHs: Application in Jingzhong, Shanxi, China |
title_sort | optimization of cancer risk assessment models for pm(2.5)-bound pahs: application in jingzhong, shanxi, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781926/ https://www.ncbi.nlm.nih.gov/pubmed/36548594 http://dx.doi.org/10.3390/toxics10120761 |
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