Literature DB >> 17166875

A model for the induction of chromosome aberrations through direct and bystander mechanisms.

H Schöllnberger1, R E J Mitchel, D J Crawford-Brown, W Hofmann.   

Abstract

A state vector model (SVM) for chromosome aberrations and neoplastic transformation has been adapted to describe detrimental bystander effects. The model describes initiation (formation of translocations) and promotion (clonal expansion and loss of contact inhibition of initiated cells). Additional terms either in the initiation model or in the rate of clonal expansion of initiated cells, describe detrimental bystander effects for chromosome aberrations as reported in the scientific literature. In the present study, the SVM with bystander effects is tested on a suitable dataset. In addition to the simulation of non-linear effects, a classical dataset for neoplastic transformation in C3H 10T1/2 cells after alpha particle irradiation is used to show that the model without bystander features can also describe LNT-like dose responses. A published model for bystander induced neoplastic transformation was adapted for chromosome aberration induction and used to compare the results obtained with the different models.

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Year:  2006        PMID: 17166875      PMCID: PMC3088355          DOI: 10.1093/rpd/ncl433

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  30 in total

1.  The shape of the dose-response curve for radiation-induced neoplastic transformation in vitro: evidence for an adaptive response against neoplastic transformation at low doses of low-LET radiation.

Authors:  J L Redpath; D Liang; T H Taylor; C Christie; E Elmore
Journal:  Radiat Res       Date:  2001-12       Impact factor: 2.841

2.  Alpha-particle-induced increases in the radioresistance of normal human bystander cells.

Authors:  Rashi Iyer; Bruce E Lehnert
Journal:  Radiat Res       Date:  2002-01       Impact factor: 2.841

Review 3.  Non-targeted and delayed effects of exposure to ionizing radiation: II. Radiation-induced genomic instability and bystander effects in vivo, clastogenic factors and transgenerational effects.

Authors:  William F Morgan
Journal:  Radiat Res       Date:  2003-05       Impact factor: 2.841

4.  Adaptive response and dose-response plateaus for initiation in a state-vector model of carcinogenesis.

Authors:  H Schöllnberger; M Kotecki; D Crawford-Brown; W Hofmann; P Eckl
Journal:  Int J Radiat Biol       Date:  1999-03       Impact factor: 2.694

Review 5.  A theoretical approach to the role and critical issues associated with bystander effect in risk estimation.

Authors:  Hooshang Nikjoo; Igor K Khvostunov
Journal:  Hum Exp Toxicol       Date:  2004-02       Impact factor: 2.903

6.  A generalized state-vector model for radiation-induced cellular transformation.

Authors:  D J Crawford-Brown; W Hofmann
Journal:  Int J Radiat Biol       Date:  1990-02       Impact factor: 2.694

7.  Induction of an adaptive response against spontaneous neoplastic transformation in vitro by low-dose gamma radiation.

Authors:  J L Redpath; R J Antoniono
Journal:  Radiat Res       Date:  1998-05       Impact factor: 2.841

8.  Low-dose ionizing radiation decreases the frequency of neoplastic transformation to a level below the spontaneous rate in C3H 10T1/2 cells.

Authors:  E I Azzam; S M de Toledo; G P Raaphorst; R E Mitchel
Journal:  Radiat Res       Date:  1996-10       Impact factor: 2.841

9.  Neutron-induced cell cycle-dependent oncogenic transformation of C3H 10T1/2 cells.

Authors:  R C Miller; C R Geard; S G Martin; S A Marino; E J Hall
Journal:  Radiat Res       Date:  1995-06       Impact factor: 2.841

10.  The biological effectiveness of radon-progeny alpha particles. II. Oncogenic transformation as a function of linear energy transfer.

Authors:  R C Miller; S A Marino; D J Brenner; S G Martin; M Richards; G Randers-Pehrson; E J Hall
Journal:  Radiat Res       Date:  1995-04       Impact factor: 2.841

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  4 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.  Human lung cancer risks from radon - part I - influence from bystander effects - a microdose analysis.

Authors:  Bobby E Leonard; Richard E Thompson; Georgia C Beecher
Journal:  Dose Response       Date:  2010-08-20       Impact factor: 2.658

3.  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

Review 4.  REVIEW OF QUANTITATIVE MECHANISTIC MODELS OF RADIATION-INDUCED NON-TARGETED EFFECTS (NTE).

Authors:  Igor Shuryak; David J Brenner
Journal:  Radiat Prot Dosimetry       Date:  2020-12-30       Impact factor: 0.972

  4 in total

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