Evidence map›Paper›PMID 36633666›Full record

ArticleRadiation and environmental biophysics2023

Concepts of association between cancer and ionising radiation: accounting for specific biological mechanisms.

Markus Eidemüller, Janine Becker, Jan Christian Kaiser, Alexander Ulanowski, A Iulian Apostoaei, F Owen Hoffman

Abstract read
In one paragraph

Article in Radiation and environmental biophysics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
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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.

Markus EidemüllerInstitute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany. markus.eidemueller@helmholtz-muenchen.de.ORCID 0000-0003-0249-3710
Janine BeckerInstitute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.ORCID 0000-0001-9409-4869
Jan Christian KaiserInstitute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.ORCID 0000-0003-0359-2251
Alexander UlanowskiInstitute of Radiation Medicine, Helmholtz Zentrum München, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.ORCID 0000-0003-4863-4128
A Iulian ApostoaeiOak Ridge Center for Risk Analysis (ORRISK, Inc), 102 Donner Drive, Oak Ridge, TN, 37830, USA.ORCID 0000-0001-9750-6056
F Owen HoffmanOak Ridge Center for Risk Analysis (ORRISK, Inc), 102 Donner Drive, Oak Ridge, TN, 37830, USA.ORCID 0000-0002-1520-4124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The probability that an observed cancer was caused by radiation exposure is usually estimated using cancer rates and risk models from radioepidemiological cohorts and is called assigned share (AS). This definition implicitly assumes that an ongoing carcinogenic process is unaffected by the studied radiation exposure. However, there is strong evidence that radiation can also accelerate an existing clonal development towards cancer. In this work, we define different association measures that an observed cancer was newly induced, accelerated, or retarded. The measures were quantified exemplarily by Monte Carlo simulations that track the development of individual cells. Three biologically based two-stage clonal expansion (TSCE) models were applied. In the first model, radiation initiates cancer development, while in the other two, radiation has a promoting effect, i.e. radiation accelerates the clonal expansion of pre-cancerous cells. The parameters of the TSCE models were derived from breast cancer data from the atomic bomb survivors of Hiroshima and Nagasaki. For exposure at age 30, all three models resulted in similar estimates of AS at age 60. For the initiation model, estimates of association were nearly identical to AS. However, for the promotion models, the cancerous clonal development was frequently accelerated towards younger ages, resulting in associations substantially higher than AS. This work shows that the association between a given cancer and exposure in an affected person depends on the underlying biological mechanism and can be substantially larger than the AS derived from classic radioepidemiology.

Indexed as

Neoplasms, Radiation-InducedNuclear WarfareAdultCarcinogenesisHumansJapanMiddle AgedModels, BiologicalRadiation, IonizingAssigned shareCarcinogenesisProbability of associationRadiation cancer riskTwo-stage clonal expansion model

Identifiers

PMID36633666
PMCPMC9950217

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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.