Evidence map›Paper›PMID 26059545›Full record

ArticleBMC cancer2015

A 3D-microtissue-based phenotypic screening of radiation resistant tumor cells with synchronized chemotherapeutic treatment.

Nataša Anastasov, Ines Höfig, Vanja Radulović, Simon Ströbel, Michael Salomon, Jan Lichtenberg, Ina Rothenaigner, Kamyar Hadian, Jens M Kelm, Christian Thirion and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

27 citing papers in PubMed, 54 citations in OpenAlex.

  1. Multiphysics-Driven Assembly of Biomimetic Vesicles.Advanced materials (Deerfield Beach, Fla.) · 2026
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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

11 authors at 3 institutions in 2 countries.

Nataša AnastasovInstitute of Radiation Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany. natasa.anastasov@helmholtz-muenchen.de.
Ines HöfigInstitute of Radiation Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany. ines.hoefig@helmholtz-muenchen.de.
Vanja RadulovićInstitute of Radiation Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany. vanja.radulovic@helmholtz-muenchen.de.
Simon StröbelInsphero AG, Schlieren, Switzerland. simon.stroebel@insphero.com.
Michael SalomonSirion Biotech GmbH, Martinsried, Germany. Salomon@sirion-biotech.de.
Jan LichtenbergInsphero AG, Schlieren, Switzerland. jan.lichtenberg@insphero.com.
Ina RothenaignerAssay Development and Screening Platform, Institute of molecular Toxicology and Pharmacology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany. ina.rothenaigner@helmholtz-muenchen.de.
Kamyar HadianAssay Development and Screening Platform, Institute of molecular Toxicology and Pharmacology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany. kamyar.hadian@helmholtz-muenchen.de.
Jens M KelmInsphero AG, Schlieren, Switzerland. jens.kelm@insphero.com.
Christian ThirionSirion Biotech GmbH, Martinsried, Germany. thirion@sirion-biotech.de.
Michael J AtkinsonInstitute of Radiation Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany. atkinson@helmholtz-muenchen.de.
Helmholtz Zentrum München · DEInspire · CHTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadiation resistance presents a challenge to the effective treatment of cancer. If therapeutic compounds were capable of resensitizing resistant tumours then a concurrent chemo-radiation treatment could be used to overcome radiation resistance.

methodsWe have developed a phenotypic assay to investigate the response of radiation resistant breast cancer cells grown in 3D-microtissue spheroids to combinations of radiation and established chemotherapeutic drugs. The effects were quantified by real time high content imaging of GFP detection area over 14 days. Ten established chemotherapeutic drugs were tested for their ability to enhance the effects of radiation.

resultsOf ten analysed chemotherapeutics, vinblastine was the most effective compound, with docetaxel and doxorubicine being less effective in combination with radiation. To investigate the response in a model closer to the in vivo situation we investigated the response of heterotypic 3D microtissues containing both fibroblasts and breast cancer cells. Drug treatment of these heterotypic 3D cultures confirmed treatment with radiation plus vinblastine to be additive in causing breast cancer growth inhibition. We have validated the screen by comparing radiation sensitizing effects of known chemotherapeutic agents. In both monotypic and heterotypic models the concurrent treatment of vinblastine and radiation proved more effective inhibitors of mammary cancer cell growth. The effective concentration range of both vinblastine and radiation are within the range used in treatment, suggesting the 3D model will offer a highly relevant screen for novel compounds.

conclusionsFor the first time comfortable 3D cell-based phenotypic assay is available, that allows high throughput screening of compounds with radiation therapy modulating capacity, opening the field to drug discovery.

Indexed as

Breast NeoplasmsCell Culture TechniquesCell Line, TumorDocetaxelDoxorubicinFemaleFibroblastsHumansRadiation ToleranceTaxoidsVinblastineDocetaxelDoxorubicinTaxoidsVinblastine

Identifiers

PMID26059545
PMCPMC4460881
OpenAlexW2155813536

What OpenQuestion holds

Textmetadata
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.