Literature DB >> 30712093

Synergy theory for murine Harderian gland tumours after irradiation by mixtures of high-energy ionized atomic nuclei.

Edward Greg Huang1, Yimin Lin1, Mark Ebert1, Dae Woong Ham2, Claire Yunzhi Zhang1, Rainer K Sachs3.   

Abstract

Experimental studies reporting murine Harderian gland (HG) tumourigenesis have been a NASA concern for many years. Studies used particle accelerators to produce beams that, on beam entry, consist of a single isotope also present in the galactic cosmic ray (GCR) spectrum. In this paper synergy theory is described, potentially applicable to corresponding mixed-field experiments, in progress, planned, or hypothetical. The "obvious" simple effect additivity (SEA) approach of comparing an observed mixture dose-effect relationship (DER) to the sum of the components' DERs is known from other fields of biology to be unreliable when the components' DERs are highly curvilinear. Such curvilinearity may be present at low fluxes such as those used in the one-ion HG experiments due to non-targeted ('bystander') effects, in which case a replacement for SEA synergy theory is needed. This paper comprises in silico modeling of published experimental data using a recently introduced, arguably optimal, replacement for SEA: incremental effect additivity (IEA). Customized open-source software is used. IEA is based on computer numerical integration of non-linear ordinary differential equations. To illustrate IEA synergy theory, possible rapidly-sequential-beam mixture experiments are discussed, including tight 95% confidence intervals calculated by Monte-Carlo sampling from variance-covariance matrices. The importance of having matched one-ion and mixed-beam experiments is emphasized. Arguments are presented against NASA over-emphasizing accelerator experiments with mixed beams whose dosing protocols are standardized rather than being adjustable to take biological variability into account. It is currently unknown whether mixed GCR beams sometimes have statistically significant synergy for the carcinogenesis endpoint. Synergy would increase risks for prolonged astronaut voyages in interplanetary space.

Entities:  

Keywords:  Concave dose–effect relationships; Correlations among adjustable parameters; Narrow 95% confidence limits; Relative biological effectiveness; Synergy or antagonism

Mesh:

Substances:

Year:  2019        PMID: 30712093     DOI: 10.1007/s00411-018-00774-x

Source DB:  PubMed          Journal:  Radiat Environ Biophys        ISSN: 0301-634X            Impact factor:   1.925


  32 in total

1.  The bystander effect in radiation oncogenesis: II. A quantitative model.

Authors:  D J Brenner; J B Little; R K Sachs
Journal:  Radiat Res       Date:  2001-03       Impact factor: 2.841

Review 2.  RBE of radiations in space and the implications for space travel.

Authors:  A A Edwards
Journal:  Phys Med       Date:  2001       Impact factor: 2.685

Review 3.  Energy deposition stochastics and track structure: what about the target?

Authors:  Dudley T Goodhead
Journal:  Radiat Prot Dosimetry       Date:  2007-02-02       Impact factor: 0.972

4.  A general formulation of the concept of independent action for the combined effects of agents.

Authors:  G K Lam
Journal:  Bull Math Biol       Date:  1994-09       Impact factor: 1.758

5.  The synergistic effects of different radiations.

Authors:  M Zaider; H H Rossi
Journal:  Radiat Res       Date:  1980-09       Impact factor: 2.841

6.  Fluence-related risk coefficients using the Harderian gland data as an example.

Authors:  S B Curtis; L W Townsend; J W Wilson; P Powers-Risius; E L Alpen; R J Fry
Journal:  Adv Space Res       Date:  1992       Impact factor: 2.152

7.  Harderian Gland Tumorigenesis: Low-Dose and LET Response.

Authors:  Polly Y Chang; Francis A Cucinotta; Kathleen A Bjornstad; James Bakke; Chris J Rosen; Nicholas Du; David G Fairchild; Eliedonna Cacao; Eleanor A Blakely
Journal:  Radiat Res       Date:  2016-04-19       Impact factor: 2.841

8.  Induction of chromosomal aberrations at fluences of less than one HZE particle per cell nucleus.

Authors:  Megumi Hada; Lori J Chappell; Minli Wang; Kerry A George; Francis A Cucinotta
Journal:  Radiat Res       Date:  2014-09-17       Impact factor: 2.841

9.  Issues for Simulation of Galactic Cosmic Ray Exposures for Radiobiological Research at Ground-Based Accelerators.

Authors:  Myung-Hee Y Kim; Adam Rusek; Francis A Cucinotta
Journal:  Front Oncol       Date:  2015-06-04       Impact factor: 6.244

10.  Relative Biological Effectiveness of HZE Particles for Chromosomal Exchanges and Other Surrogate Cancer Risk Endpoints.

Authors:  Eliedonna Cacao; Megumi Hada; Premkumar B Saganti; Kerry A George; Francis A Cucinotta
Journal:  PLoS One       Date:  2016-04-25       Impact factor: 3.240

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  5 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.  Quantitative modeling of multigenerational effects of chronic ionizing radiation using targeted and nontargeted effects.

Authors:  Igor Shuryak; David J Brenner
Journal:  Sci Rep       Date:  2021-02-26       Impact factor: 4.379

Review 3.  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.  Quantitative modeling of carcinogenesis induced by single beams or mixtures of space radiations using targeted and non-targeted effects.

Authors:  Igor Shuryak; Rainer K Sachs; David J Brenner
Journal:  Sci Rep       Date:  2021-12-06       Impact factor: 4.379

5.  Impact of Radiation Quality on Microdosimetry and Chromosome Aberrations for High-Energy (>250 MeV/n) Ions.

Authors:  Floriane Poignant; Ianik Plante; Luis Crespo; Tony Slaba
Journal:  Life (Basel)       Date:  2022-03-01
  5 in total

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