Evidence map›Paper›PMID 31828043›Full record

ArticleFrontiers in oncology2019

Evaluating Magnetic Resonance Spectroscopy as a Tool for Monitoring Therapeutic Response of Whole Brain Radiotherapy in a Mouse Model for Breast-to-Brain Metastasis.

Woon Hyung Chae, Katja Niesel, Michael Schulz, Florian Klemm, Johanna A Joyce, Marcus Prümmer, Boris Brill, Judith Bergs, Franz Rödel, Ulrich Pilatus and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2021
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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 6 institutions in 2 countries.

Woon Hyung ChaeGeorg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Frankfurt, Germany.
Katja NieselGeorg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Frankfurt, Germany.
Michael SchulzGeorg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Frankfurt, Germany.
Florian KlemmDepartment of Oncology and Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Johanna A JoyceDepartment of Oncology and Ludwig Institute for Cancer Research, University of Lausanne, Lausanne, Switzerland.
Marcus PrümmerChimaera GmbH, Erlangen, Germany.
Boris BrillGeorg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Frankfurt, Germany.
Judith BergsDepartment of Radiotherapy and Oncology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany.
Franz RödelDepartment of Radiotherapy and Oncology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany.
Ulrich PilatusInstitute of Neuroradiology, University Hospital Frankfurt, Goethe University, Frankfurt am Main, Germany.
Lisa SevenichGeorg-Speyer-Haus, Institute for Tumor Biology and Experimental Therapy, Frankfurt, Germany.
Georg Speyer Haus · DEFrankfurt Cancer Institute · DEGoethe University Frankfurt · DELudwig Cancer Research · CHUniversity Hospital Frankfurt · DEUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastases are the most common intracranial tumor in adults and are associated with poor patient prognosis and median survival of only a few months. Treatment options for brain metastasis patients remain limited and largely depend on surgical resection, radio- and/or chemotherapy. The development and pre-clinical testing of novel therapeutic strategies require reliable experimental models and diagnostic tools that closely mimic technologies that are used in the clinic and reflect histopathological and biochemical changes that distinguish tumor progression from therapeutic response. In this study, we sought to test the applicability of magnetic resonance (MR) spectroscopy in combination with MR imaging to closely monitor therapeutic efficacy in a breast-to-brain metastasis model. Given the importance of radiotherapy as the standard of care for the majority of brain metastases patients, we chose to monitor the post-irradiation response by magnetic resonance spectroscopy (MRS) in combination with MR imaging (MRI) using a 7 Tesla small animal scanner. Radiation was applied as whole brain radiotherapy (WBRT) using the image-guided Small Animal Radiation Research Platform (SARRP). Here we describe alterations in different metabolites, including creatine and N-acetylaspartate, that are characteristic for brain metastases progression and lactate, which indicates hypoxia, while choline levels remained stable. Radiotherapy resulted in normalization of metabolite levels indicating tumor stasis or regression in response to treatment. Our data indicate that the use of MR spectroscopy in addition to MRI represents a valuable tool to closely monitor not only volumetrical but also metabolic changes during tumor progression and to evaluate therapeutic efficacy of intervention strategies. Adapting the analytical technology in brain metastasis models to those used in clinical settings will increase the translational significance of experimental evaluation and thus contribute to the advancement of pre-clinical assessment of novel therapeutic strategies to improve treatment options for brain metastases patients.

Indexed as

brain metastasesmagnetic resonance imagingmetabolitespre-clinical modelsradio-responseradiotherapyspectroscopy

Identifiers

PMID31828043
PMCPMC6890861
OpenAlexW2990428083

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.