Literature DB >> 19330150

An examination of radiation hormesis mechanisms using a multistage carcinogenesis model.

H Schöllnberger1, R D Stewart, R E J Mitchel, W Hofmann.   

Abstract

A multistage cancer model that describes the putative rate-limiting steps in carcinogenesis is developed and used to investigate the potential impact on cumulative lung cancer incidence of the hormesis mechanisms suggested by Feinendegen and Pollycove. In the model, radiation and endogenous processes damage the DNA of target cells in the lung. Some fraction of the misrepaired or unrepaired DNA damage induces genomic instability and, ultimately, leads to the accumulation of malignant cells. The model explicitly accounts for cell birth and death processes, the clonal expansion of initiated cells, malignant conversion, and a lag period for tumor formation. Radioprotective mechanisms are incorporated into the model by postulating dose and dose-rate-dependent radical scavenging. The accuracy of DNA damage repair also depends on dose and dose rate. As currently formulated, the model is most applicable to low-linear-energy-transfer (LET) radiation delivered at low dose rates. Sensitivity studies are conducted to identify critical model inputs and to help define the shapes of the cumulative lung cancer incidence curves that may arise when dose and dose-rate-dependent cellular defense mechanisms are incorporated into a multistage cancer model. For lung cancer, both linear no-threshold (LNT-), and non-LNT-shaped responses can be obtained. If experiments demonstrate that the effects of DNA damage repair and radical scavenging are enhanced at least three-fold under low-dose conditions, our studies would support the existence of U-shaped responses. The overall fidelity of the DNA damage repair process may have a large impact on the cumulative incidence of lung cancer. The reported studies also highlight the need to know whether or not (or to what extent) multiply damaged DNA sites are formed by endogenous processes. Model inputs that give rise to U-shaped responses are consistent with an effective cumulative lung cancer incidence threshold that may be as high as 300 mGy (4 mGy per year for 75 years) for low-LET radiation.

Entities:  

Keywords:  LNT; U-shaped; endogenous damage; hormesis; radioprotective mechanisms; threshold

Year:  2004        PMID: 19330150      PMCID: PMC2657508          DOI: 10.1080/15401420490900263

Source DB:  PubMed          Journal:  Nonlinearity Biol Toxicol Med        ISSN: 1540-1421


  148 in total

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Journal:  Int J Radiat Biol       Date:  2000-11       Impact factor: 2.694

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Journal:  Radiat Res       Date:  2000-09       Impact factor: 2.841

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Authors:  Jocelyn Kaiser
Journal:  Science       Date:  2003-10-17       Impact factor: 47.728

4.  Hormesis. A healthful dab of radiation?

Authors:  Jocelyn Kaiser
Journal:  Science       Date:  2003-10-17       Impact factor: 47.728

5.  Bystander-induced apoptosis and premature differentiation in primary urothelial explants after charged particle microbeam irradiation.

Authors:  O V Belyakov; M Folkard; C Mothersill; K M Prise; B D Michael
Journal:  Radiat Prot Dosimetry       Date:  2002       Impact factor: 0.972

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Journal:  Science       Date:  1998-05-15       Impact factor: 47.728

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Journal:  Biochem Pharmacol       Date:  1998-04-01       Impact factor: 5.858

8.  Variation of single-strand break yield with scavenger concentration for plasmid DNA irradiated in aqueous solution.

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Journal:  Radiat Res       Date:  1993-02       Impact factor: 2.841

9.  DNA substrate dependence of p53-mediated regulation of double-strand break repair.

Authors:  Nuray Akyüz; Gisa S Boehden; Silke Süsse; Andreas Rimek; Ute Preuss; Karl-Heinz Scheidtmann; Lisa Wiesmüller
Journal:  Mol Cell Biol       Date:  2002-09       Impact factor: 4.272

10.  Morphometric characteristics of cells in the alveolar region of mammalian lungs.

Authors:  J D Crapo; S L Young; E K Fram; K E Pinkerton; B E Barry; R O Crapo
Journal:  Am Rev Respir Dis       Date:  1983-08
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  9 in total

1.  Protective bystander effects simulated with the state-vector model.

Authors:  Helmut Schöllnberger; Peter M Eckl
Journal:  Dose Response       Date:  2007-06-26       Impact factor: 2.658

2.  Dose-responses from multi-model inference for the non-cancer disease mortality of atomic bomb survivors.

Authors:  H Schöllnberger; J C Kaiser; P Jacob; L Walsh
Journal:  Radiat Environ Biophys       Date:  2012-03-22       Impact factor: 1.925

3.  Radiation hormesis: historical perspective and implications for low-dose cancer risk assessment.

Authors:  Alexander M Vaiserman
Journal:  Dose Response       Date:  2010-01-18       Impact factor: 2.658

4.  Detrimental and protective bystander effects: a model approach.

Authors:  H Schöllnberger; R E J Mitchel; J L Redpath; D J Crawford-Brown; W Hofmann
Journal:  Radiat Res       Date:  2007-11       Impact factor: 2.841

5.  Low-LET-induced radioprotective mechanisms within a stochastic two-stage cancer model.

Authors:  H Schöllnberger; R D Stewart; R E J Mitchel
Journal:  Dose Response       Date:  2006-05-22       Impact factor: 2.658

6.  A model for low dose effects of low-LET radiation delivered at high dose rates.

Authors:  H Schöllnberger; R D Stewart; R E J Mitchel
Journal:  Int J Low Radiat       Date:  2006

7.  Analysis of epidemiological cohort data on smoking effects and lung cancer with a multi-stage cancer model.

Authors:  H Schöllnberger; M Manuguerra; H Bijwaard; H Boshuizen; H P Altenburg; S M Rispens; M J P Brugmans; P Vineis
Journal:  Carcinogenesis       Date:  2006-01-12       Impact factor: 4.944

8.  Gene expression profiling of biological pathway alterations by radiation exposure.

Authors:  Kuei-Fang Lee; Julia Tzu-Ya Weng; Paul Wei-Che Hsu; Yu-Hsiang Chi; Ching-Kai Chen; Ingrid Y Liu; Yi-Cheng Chen; Lawrence Shih-Hsin Wu
Journal:  Biomed Res Int       Date:  2014-09-08       Impact factor: 3.411

9.  Turning natural adaptations to oncogenic factors into an ally in the war against cancer.

Authors:  Marion Vittecoq; Mathieu Giraudeau; Tuul Sepp; David J Marcogliese; Marcel Klaassen; François Renaud; Beata Ujvari; Frédéric Thomas
Journal:  Evol Appl       Date:  2018-03-14       Impact factor: 5.183

  9 in total

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