Literature DB >> 23032894

Radiation carcinogenesis risk assessments for never-smokers.

Francis A Cucinotta1, Lori J Chappell, Myung-Hee Y Kim, Minli Wang.   

Abstract

Cigarette smoking, which is presently associated with more than 20% of adult deaths in the United States, is a large confounder to radiation risk estimates derived from epidemiology data. Astronauts and other exposed groups are classified as never-smokers (NS), defined as lifetime use of less than 100 cigarettes. In the past, radiation risk estimates have been made using average U.S. population rates for cancer and all causes of death, which may lead to overestimation of radiation risks for NS. In this report, age- and gender-specific radiation carcinogenesis risk calculations for NS and the average U.S. population are compared. Lung is the major tissue site for smoking and radiation-related cancer. However, other radiogenic cancers where tobacco has been shown to increase population cancer rates are esophagus, oral cavity, salivary gland, bladder, stomach, liver, colorectal, and leukemia. After adjusting U.S. cancer rates to remove smoking effects, radiation risks for lung and other cancers were estimated using the multiplicative risk model and a mixture model, with weighted contributions for additive and multiplicative risk transfer. Radiation mortality risks for NS were reduced compared to the average U.S. population by more than 20% and 50% in the mixture model and multiplicative transfer models, respectively. The authors discuss possible mechanisms of cancer risks from radiation and tobacco that suggest multiplicative effects could occur. These results suggest that improved understanding of possible synergisms between cancer initiators and promoters, such as radiation and tobacco, would greatly improve risk estimates and reduce uncertainties for differentially exposed groups, including NS.

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Year:  2012        PMID: 23032894     DOI: 10.1097/HP.0b013e318267b3ad

Source DB:  PubMed          Journal:  Health Phys        ISSN: 0017-9078            Impact factor:   1.316


  10 in total

1.  Heavy-Ion-Induced Lung Tumors: Dose- & LET-Dependence.

Authors:  Polly Y Chang; James Bakke; Chris J Rosen; Kathleen A Bjornstad; Jian-Hua Mao; Eleanor A Blakely
Journal:  Life (Basel)       Date:  2022-06-17

2.  Flying without a Net: Space Radiation Cancer Risk Predictions without a Gamma-ray Basis.

Authors:  Francis A Cucinotta
Journal:  Int J Mol Sci       Date:  2022-04-13       Impact factor: 6.208

3.  Summary: achievements, critical issues, and thoughts on the future.

Authors:  Kathryn D Held
Journal:  Health Phys       Date:  2012-11       Impact factor: 1.316

4.  Space radiation risks for astronauts on multiple International Space Station missions.

Authors:  Francis A Cucinotta
Journal:  PLoS One       Date:  2014-04-23       Impact factor: 3.240

5.  CDDO-Me protects normal lung and breast epithelial cells but not cancer cells from radiation.

Authors:  Mariam El-Ashmawy; Oliver Delgado; Agnelio Cardentey; Woodring E Wright; Jerry W Shay
Journal:  PLoS One       Date:  2014-12-23       Impact factor: 3.240

6.  Opposite roles for p38MAPK-driven responses and reactive oxygen species in the persistence and resolution of radiation-induced genomic instability.

Authors:  Erica Werner; Huichen Wang; Paul W Doetsch
Journal:  PLoS One       Date:  2014-10-01       Impact factor: 3.240

7.  Organotypic culture in three dimensions prevents radiation-induced transformation in human lung epithelial cells.

Authors:  Mariam El-Ashmawy; Melissa Coquelin; Krishna Luitel; Kimberly Batten; Jerry W Shay
Journal:  Sci Rep       Date:  2016-08-19       Impact factor: 4.379

8.  Genomic mapping in outbred mice reveals overlap in genetic susceptibility for HZE ion- and γ-ray-induced tumors.

Authors:  E F Edmondson; D M Gatti; F A Ray; E L Garcia; C M Fallgren; D A Kamstock; M M Weil
Journal:  Sci Adv       Date:  2020-04-15       Impact factor: 14.136

Review 9.  The 20th Gray lecture 2019: health and heavy ions.

Authors:  Eleanor A Blakely
Journal:  Br J Radiol       Date:  2020-10-06       Impact factor: 3.039

10.  Race and ethnic group dependent space radiation cancer risk predictions.

Authors:  Francis A Cucinotta; Premkumar B Saganti
Journal:  Sci Rep       Date:  2022-02-07       Impact factor: 4.379

  10 in total

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