Evidence map›Paper›PMID 37641066›Full record

ArticleJournal of translational medicine2023

Multiparametric chemical exchange saturation transfer MRI detects metabolic changes in breast cancer following immunotherapy.

Emily Hoffmann, Daniel Schache, Carsten Höltke, Jens Soltwisch, Stephan Niland, Tobias Krähling, Klaus Bergander, Martin Grewer, Christiane Geyer, Linda Groeneweg and 10 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2023. 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
1.0field-weighted citation impact, top 29% 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, 11 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

20 authors at 1 institution in 1 country.

Emily HoffmannClinic of Radiology, University of Münster, Münster, Germany. emily.hoffmann@ukmuenster.de.ORCID http://orcid.org/0000-0002-0958-6699
Daniel SchacheClinic of Radiology, University of Münster, Münster, Germany.
Carsten HöltkeClinic of Radiology, University of Münster, Münster, Germany.
Jens SoltwischInstitute of Hygiene, University of Münster, Münster, Germany.
Stephan NilandInstitute of Physiological Chemistry and Pathobiochemistry, University of Münster, Münster, Germany.
Tobias KrählingClinic of Radiology, University of Münster, Münster, Germany.
Klaus BerganderInstitute of Organic Chemistry, University of Münster, Münster, Germany.
Martin GrewerClinic of Radiology, University of Münster, Münster, Germany.
Christiane GeyerClinic of Radiology, University of Münster, Münster, Germany.
Linda GroenewegInstitute of Immunology, University of Münster, Münster, Germany.
Johannes A EbleInstitute of Physiological Chemistry and Pathobiochemistry, University of Münster, Münster, Germany.
Thomas VoglInstitute of Immunology, University of Münster, Münster, Germany.
Johannes RothInstitute of Immunology, University of Münster, Münster, Germany.
Walter HeindelClinic of Radiology, University of Münster, Münster, Germany.
Bastian MausClinic of Radiology, University of Münster, Münster, Germany.
Anne HelfenClinic of Radiology, University of Münster, Münster, Germany.
Cornelius FaberClinic of Radiology, University of Münster, Münster, Germany.
Moritz WildgruberClinic of Radiology, University of Münster, Münster, Germany.
Mirjam Gerwing *Clinic of Radiology, University of Münster, Münster, Germany.
Verena HoerrClinic of Radiology, University of Münster, Münster, Germany.
University of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith metabolic alterations of the tumor microenvironment (TME) contributing to cancer progression, metastatic spread and response to targeted therapies, non-invasive and repetitive imaging of tumor metabolism is of major importance. The purpose of this study was to investigate whether multiparametric chemical exchange saturation transfer magnetic resonance imaging (CEST-MRI) allows to detect differences in the metabolic profiles of the TME in murine breast cancer models with divergent degrees of malignancy and to assess their response to immunotherapy.

methodsTumor characteristics of highly malignant 4T1 and low malignant 67NR murine breast cancer models were investigated, and their changes during tumor progression and immune checkpoint inhibitor (ICI) treatment were evaluated. For simultaneous analysis of different metabolites, multiparametric CEST-MRI with calculation of asymmetric magnetization transfer ratio (MTR

resultsDuring tumor progression, the two tumor models showed divergent trends for all examined CEST contrasts: While glucose- and APT-weighted CEST contrast decreased and creatine-weighted CEST contrast increased over time in the 4T1 model, 67NR tumors exhibited increased glucose- and APT-weighted CEST contrast during disease progression, accompanied by decreased creatine-weighted CEST contrast. Already three days after treatment initiation, CEST contrasts captured response to ICI therapy in both tumor models.

conclusionMultiparametric CEST-MRI enables non-invasive assessment of metabolic signatures of the TME, allowing both for estimation of the degree of tumor malignancy and for assessment of early response to immune checkpoint inhibition.

Indexed as

CreatineNeoplasmsAmidesAnimalsGlucoseImmune Checkpoint InhibitorsImmunotherapyMagnetic Resonance ImagingMiceAmidesCreatineGlucoseImmune Checkpoint InhibitorsCESTImmune checkpoint inhibitionMetabolismMRITumor malignancy

Identifiers

PMID37641066
PMCPMC10463706
OpenAlexW4386221593

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.