Evidence map›Paper›PMID 30712093›Full record

ArticleRadiation and environmental biophysics2019

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

Edward Greg Huang, Yimin Lin, Mark Ebert, Dae Woong Ham, Claire Yunzhi Zhang, Rainer K Sachs

Open access · hybridAbstract read
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In one paragraph

Article in Radiation and environmental biophysics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Edward Greg HuangDepartment of Mathematics, University of California at Berkeley, Berkeley, CA, 94720, USA.
Yimin LinDepartment of Mathematics, University of California at Berkeley, Berkeley, CA, 94720, USA.
Mark EbertDepartment of Mathematics, University of California at Berkeley, Berkeley, CA, 94720, USA.
Dae Woong HamDepartment of Statistics, University of California at Berkeley, Berkeley, CA, 94720, USA.
Claire Yunzhi ZhangDepartment of Mathematics, University of California at Berkeley, Berkeley, CA, 94720, USA.
Rainer K SachsDepartment of Mathematics, University of California at Berkeley, Berkeley, CA, 94720, USA. sachs@math.berkeley.edu.ORCID 0000-0002-9300-374X
University of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AnimalsComputer SimulationDose-Response Relationship, RadiationFemaleHarderian GlandIsotopesMiceModels, TheoreticalNeoplasms, Glandular and EpithelialParticle AcceleratorsIsotopesConcave dose–effect relationshipsCorrelations among adjustable parametersNarrow 95% confidence limitsRelative biological effectivenessSynergy or antagonism

Identifiers

PMID30712093
OpenAlexW2914201084

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.