Literature DB >> 25839758

Breast cancer risk and possible mechanisms of radiation-induced genomic instability in the Swedish hemangioma cohort after reanalyzed dosimetry.

Markus Eidemüller1, Erik Holmberg2, Peter Jacob3, Marie Lundell4, Per Karlsson2.   

Abstract

The cohort of 17,200 female Swedish hemangioma patients, who had been exposed to ionizing radiation because of skin hemangioma, was analyzed for breast cancer incidence with descriptive excess relative risk models and mechanistic models of carcinogenesis. The dosimetry system has recently been updated, leading to substantially reduced doses for the most highly exposed part of the Stockholm cohort. The follow-up includes persons until December 2009 with 877 breast cancer cases. All models agree on the risk estimates. The excess relative and excess absolute risk at the age of 50 years are 0.48 Gy(-1) (95% CI 0.28; 0.69) and 10.4 (10(4)PYR Gy)(-1) (95% CI 6.1; 14.4) (95% CI 6.1; 14.4), respectively. These risk estimates are about a factor of 2 higher than previous analyses of this cohort as a consequence of the re-evaluation of the dosimetry system. Explicit models incorporating effects of genomic instability were developed and applied to the hemangioma cohort. It was found that a radiation-induced transition towards genomic instability was highly significant. The models indicate that the main effect of radiation-induced genomic instability is to increase the rate of transition of non-initiated cells to initiated cells with a proliferative advantage. The magnitude of such an acceleration cannot be inferred from epidemiological data alone, but must be complemented by radiobiological measurements.
Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer risk; Models of carcinogenesis; Radiation-induced genomic instability

Mesh:

Year:  2015        PMID: 25839758     DOI: 10.1016/j.mrfmmm.2015.03.002

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  10 in total

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2.  Mechanistic study on lung cancer mortality after radon exposure in the Wismut cohort supports important role of clonal expansion in lung carcinogenesis.

Authors:  I Zaballa; M Eidemüller
Journal:  Radiat Environ Biophys       Date:  2016-06-22       Impact factor: 1.925

3.  Beyond two-stage models for lung carcinogenesis in the Mayak workers: implications for plutonium risk.

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Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

4.  Cancer associated missense mutations in BAP1 catalytic domain induce amyloidogenic aggregation: A new insight in enzymatic inactivation.

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5.  Integration of a radiation biomarker into modeling of thyroid carcinogenesis and post-Chernobyl risk assessment.

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Journal:  Carcinogenesis       Date:  2016-10-11       Impact factor: 4.944

6.  A mechanistic model for atherosclerosis and its application to the cohort of Mayak workers.

Authors:  Cristoforo Simonetto; Tamara V Azizova; Zarko Barjaktarovic; Johann Bauersachs; Peter Jacob; Jan Christian Kaiser; Reinhard Meckbach; Helmut Schöllnberger; Markus Eidemüller
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7.  Correlations between Risk Factors for Breast Cancer and Genetic Instability in Cancer Patients-A Clinical Perspective Study.

Authors:  Márcia Fernanda Correia Jardim Paz; Marcus Vinícius Oliveira Barros de Alencar; Antonio Luiz Gomes Junior; Keylla da Conceição Machado; Muhammad Torequl Islam; Eunus S Ali; Manik Chandra Shill; Md Iqbal Ahmed; Shaikh Jamal Uddin; Ana Maria Oliveira Ferreira da Mata; Ricardo Melo de Carvalho; Kátia da Conceição Machado; André Luiz Pinho Sobral; Felipe Cavalcanti Carneiro da Silva; João Marcelo de Castro E Souza; Daniel Dias Rufino Arcanjo; Paulo Michel Pinheiro Ferreira; Siddhartha Kumar Mishra; Juliana da Silva; Ana Amélia de Carvalho Melo-Cavalcante
Journal:  Front Genet       Date:  2018-02-16       Impact factor: 4.599

8.  Mathematical modelling the pathway of genomic instability in lung cancer.

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Journal:  Sci Rep       Date:  2019-10-01       Impact factor: 4.379

Review 9.  Adverse outcome pathways for ionizing radiation and breast cancer involve direct and indirect DNA damage, oxidative stress, inflammation, genomic instability, and interaction with hormonal regulation of the breast.

Authors:  Jessica S Helm; Ruthann A Rudel
Journal:  Arch Toxicol       Date:  2020-05-13       Impact factor: 5.153

10.  ProZES: the methodology and software tool for assessment of assigned share of radiation in probability of cancer occurrence.

Authors:  Alexander Ulanowski; Elena Shemiakina; Denise Güthlin; Janine Becker; Dale Preston; A Iulian Apostoaei; F Owen Hoffman; Peter Jacob; Jan Christian Kaiser; Markus Eidemüller
Journal:  Radiat Environ Biophys       Date:  2020-08-26       Impact factor: 1.925

  10 in total

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