Evidence map›Paper›PMID 42200117›Full record

ArticleFrontiers in public health2026

A cell-based model approach to radiation-induced breast cancer development.

Jins de Jong, Jesse Vogel, Andreas Spörl, Nikolas Pomplun, Christine E Hellweg

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jins de JongNetherlands Organisation for Applied Scientific Research (TNO), Amsterdam, Netherlands.
Jesse VogelNetherlands Organisation for Applied Scientific Research (TNO), Amsterdam, Netherlands.
Andreas SpörlGerman Aerospace Center (DLR), Space Operations and Astronaut Training, Oberpfaffenhofen, Germany.
Nikolas PomplunGerman Aerospace Center (DLR), Space Operations and Astronaut Training, Oberpfaffenhofen, Germany.
Christine E HellwegGerman Aerospace Center (DLR), Institute of Aerospace Medicine, Cologne, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidemiological studies, e.g., on atomic bomb survivors, have shown that exposure to ionizing radiation increases the risk of developing breast cancer. Typically, these studies correlate intrinsic and extrinsic contributing factors with the observed cases of breast cancer in a defined population. In this study, we attempt to model these relationships at the cellular level. For this, a nine-stage model of the epithelial cells in the milk ducts is developed, considering transition probabilities between the stages. As a proof of principle, the transition probabilities between the stages of our model are fit for scenarios with and without exposure to ionizing radiation. Although this model simplifies the complex interactions of external and internal factors and diverse cell types, we believe that these methods can be used to understand carcinogenesis from a different perspective.

Indexed as

Breast NeoplasmsEpithelial CellsModels, BiologicalNeoplasms, Radiation-InducedFemaleHumansRadiation, Ionizingbreast cancercarcinogenesiscell modelnumerical approximationradiation exposuresimulation method

Identifiers

PMID42200117
PMCPMC13199358

What OpenQuestion holds

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LicenceCC BY
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.