Evidence map›Paper›PMID 34412654›Full record

ArticleRadiation oncology (London, England)2021

Development of a model for fibroblast-led collective migration from breast cancer cell spheroids to study radiation effects on invasiveness.

Jia Mei, Claudia Böhland, Anika Geiger, Iris Baur, Kristina Berner, Steffen Heuer, Xue Liu, Laura Mataite, M Camila Melo-Narváez, Erdem Özkaya and 5 more

Open access · goldAbstract read
In one paragraph

Article in Radiation oncology (London, England), 2021. 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
2.2field-weighted citation impact, top 12% 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, 10 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

15 authors at 4 institutions in 1 country.

Jia MeiDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.
Claudia BöhlandDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.
Anika GeigerDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.
Iris BaurDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.
Kristina BernerDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.
Steffen HeuerResearch Unit of Radiation Cytogenetics, Helmholtz Zentrum München, 85764, Neuherberg, Germany.
Xue LiuRG Adipocytes & Metabolism, Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Zentrum München, 85764, Neuherberg, Germany.ORCID http://orcid.org/0000-0001-6585-964X
Laura MataiteDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.ORCID http://orcid.org/0000-0001-6888-1738
M Camila Melo-NarváezDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-6067-3229
Erdem ÖzkayaDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.ORCID http://orcid.org/0000-0002-3453-783X
Anna RuppDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.
Christian SiebenwirthBundeswehr Institute of Radiobiology, 80937, Munich, Germany.ORCID http://orcid.org/0000-0002-5677-8001
Felix ThomaDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany.
Matthias F KlingDepartment of Physics, LMU Munich, 85748, Garching, Germany.ORCID http://orcid.org/0000-0002-1710-0775
Anna A FriedlDepartment of Radiation Oncology, LMU Klinikum, LMU Munich, 81377, Munich, Germany. anna.friedl@lrz.uni-muenchen.de.ORCID http://orcid.org/0000-0002-7425-6151
LMU Klinikum · DEHelmholtz Zentrum München · DEBundeswehr Medical Service Academy · DECentre for Advanced Laser Applications · DE

Funding

Deutsche Forschungsgemeinschaft Cluster of Excellence: Munich Asvanced Photonics AND LMUexcellentDeutsche Forschungsgemeinschaft Cluster of Excellence: Munich Center of Advanced PhotonicsHelmholtz-Gemeinschaft AMPro
6 · The paper itself

Abstract

backgroundInvasiveness is a major factor contributing to metastasis of tumour cells. Given the broad variety and plasticity of invasion mechanisms, assessing potential metastasis-promoting effects of irradiation for specific mechanisms is important for further understanding of potential adverse effects of radiotherapy. In fibroblast-led invasion mechanisms, fibroblasts produce tracks in the extracellular matrix in which cancer cells with epithelial traits can follow. So far, the influence of irradiation on this type of invasion mechanisms has not been assessed.

methodsBy matrix-embedding coculture spheroids consisting of breast cancer cells (MCF-7, BT474) and normal fibroblasts, we established a model for fibroblast-led invasion. To demonstrate applicability of this model, spheroid growth and invasion behaviour after irradiation with 5 Gy were investigated by microscopy and image analysis.

resultsWhen not embedded, irradiation caused a significant growth delay in the spheroids. When irradiating the spheroids with 5 Gy before embedding, we find comparable maximum migration distance in fibroblast monoculture and in coculture samples as seen in unirradiated samples. Depending on the fibroblast strain, the number of invading cells remained constant or was reduced.

conclusionIn this spheroid model and with the cell lines and fibroblast strains used, irradiation does not have a major invasion-promoting effect. 3D analysis of invasiveness allows to uncouple effects on invading cell number and maximum invasion distance when assessing radiation effects.

Indexed as

Breast NeoplasmsCell Line, TumorCell MovementCell ProliferationFemaleFibroblastsHumansNeoplasm InvasivenessSpheroids, Cellular

Identifiers

PMID34412654
PMCPMC8375131
OpenAlexW3195330364

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.