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Race and ethnic group dependent space radiation cancer risk predictions
Future space missions by national space agencies and private industry, including space tourism, will include a diverse makeup of crewmembers with extensive variability in age, sex, and race or ethnic groups. The relative risk (RR) model is used to transfer epidemiology data between populations to es...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821552/ https://www.ncbi.nlm.nih.gov/pubmed/35132138 http://dx.doi.org/10.1038/s41598-022-06105-x |
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author | Cucinotta, Francis A. Saganti, Premkumar B. |
author_facet | Cucinotta, Francis A. Saganti, Premkumar B. |
author_sort | Cucinotta, Francis A. |
collection | PubMed |
description | Future space missions by national space agencies and private industry, including space tourism, will include a diverse makeup of crewmembers with extensive variability in age, sex, and race or ethnic groups. The relative risk (RR) model is used to transfer epidemiology data between populations to estimate radiation risks. In the RR model cancer risk is assumed to be proportional to background cancer rates and limited by other causes of death, which are dependent on genetic, environmental and dietary factors that are population dependent. Here we apply the NSCR-2020 model to make the first predictions of age dependent space radiation cancer risks for several U.S. populations, which includes Asian-Pacific Islanders (API), Black, Hispanic (white and black), and White (non-Hispanic) populations. Results suggest that male API and Hispanic populations have the overall lowest cancer risks, while White females have the highest risk. Blacks have similar total cancer rates than Whites, however their reduced life expectancy leads to modestly lower lifetime radiation risks compared to Whites. There are diverse tissue specific cancer risk ranking across sex and race, which include sex specific organ risks, female’s having larger lung, stomach, and urinary-bladder radiation risks, and male’s having larger colon and brain risks. |
format | Online Article Text |
id | pubmed-8821552 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-88215522022-02-09 Race and ethnic group dependent space radiation cancer risk predictions Cucinotta, Francis A. Saganti, Premkumar B. Sci Rep Article Future space missions by national space agencies and private industry, including space tourism, will include a diverse makeup of crewmembers with extensive variability in age, sex, and race or ethnic groups. The relative risk (RR) model is used to transfer epidemiology data between populations to estimate radiation risks. In the RR model cancer risk is assumed to be proportional to background cancer rates and limited by other causes of death, which are dependent on genetic, environmental and dietary factors that are population dependent. Here we apply the NSCR-2020 model to make the first predictions of age dependent space radiation cancer risks for several U.S. populations, which includes Asian-Pacific Islanders (API), Black, Hispanic (white and black), and White (non-Hispanic) populations. Results suggest that male API and Hispanic populations have the overall lowest cancer risks, while White females have the highest risk. Blacks have similar total cancer rates than Whites, however their reduced life expectancy leads to modestly lower lifetime radiation risks compared to Whites. There are diverse tissue specific cancer risk ranking across sex and race, which include sex specific organ risks, female’s having larger lung, stomach, and urinary-bladder radiation risks, and male’s having larger colon and brain risks. Nature Publishing Group UK 2022-02-07 /pmc/articles/PMC8821552/ /pubmed/35132138 http://dx.doi.org/10.1038/s41598-022-06105-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Cucinotta, Francis A. Saganti, Premkumar B. Race and ethnic group dependent space radiation cancer risk predictions |
title | Race and ethnic group dependent space radiation cancer risk predictions |
title_full | Race and ethnic group dependent space radiation cancer risk predictions |
title_fullStr | Race and ethnic group dependent space radiation cancer risk predictions |
title_full_unstemmed | Race and ethnic group dependent space radiation cancer risk predictions |
title_short | Race and ethnic group dependent space radiation cancer risk predictions |
title_sort | race and ethnic group dependent space radiation cancer risk predictions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821552/ https://www.ncbi.nlm.nih.gov/pubmed/35132138 http://dx.doi.org/10.1038/s41598-022-06105-x |
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