Evidence map›Paper›PMID 37221619›Full record

ArticleBreast cancer research : BCR2023

Vascular response patterns to targeted therapies in murine breast cancer models with divergent degrees of malignancy.

Emily Hoffmann, Mirjam Gerwing, Tobias Krähling, Uwe Hansen, Katharina Kronenberg, Max Masthoff, Christiane Geyer, Carsten Höltke, Lydia Wachsmuth, Regina Schinner and 8 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Review
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  7. Review
  8. Super-Resolution Ultrasound Imaging for Monitoring the Therapeutic Efficacy of a Vascular Disrupting Agent in an Animal Model of Breast Cancer.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2024
    Article
  9. Review
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

18 authors at 3 institutions in 1 country.

Emily Hoffmann *Clinic of Radiology, University of Münster, Münster, Germany. emily.hoffmann@ukmuenster.de.ORCID 0000-0002-0958-6699
Mirjam Gerwing *Clinic of Radiology, University of Münster, Münster, Germany.
Tobias KrählingClinic of Radiology, University of Münster, Münster, Germany.
Uwe HansenInstitute for Musculoskeletal Medicine, University of Münster, Münster, Germany.
Katharina KronenbergInstitute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany.
Max MasthoffClinic of Radiology, University of Münster, Münster, Germany.
Christiane GeyerClinic of Radiology, University of Münster, Münster, Germany.
Carsten HöltkeClinic of Radiology, University of Münster, Münster, Germany.
Lydia WachsmuthClinic of Radiology, University of Münster, Münster, Germany.
Regina SchinnerDepartment of Radiology, University Hospital, LMU Munich, Munich, Germany.
Verena HoerrClinic of Radiology, University of Münster, Münster, Germany.
Walter HeindelClinic of Radiology, University of Münster, Münster, Germany.
Uwe KarstInstitute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany.
Michel EisenblätterClinic 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.
University of Münster · DEBielefeld University · DELMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResponse assessment of targeted cancer therapies is becoming increasingly challenging, as it is not adequately assessable with conventional morphological and volumetric analyses of tumor lesions. The tumor microenvironment is particularly constituted by tumor vasculature which is altered by various targeted therapies. The aim of this study was to noninvasively assess changes in tumor perfusion and vessel permeability after targeted therapy in murine models of breast cancer with divergent degrees of malignancy.

methodsLow malignant 67NR or highly malignant 4T1 tumor-bearing mice were treated with either the multi-kinase inhibitor sorafenib or immune checkpoint inhibitors (ICI, combination of anti-PD1 and anti-CTLA4). Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with i.v. injection of albumin-binding gadofosveset was conducted on a 9.4 T small animal MRI. Ex vivo validation of MRI results was achieved by transmission electron microscopy, immunohistochemistry and laser ablation-inductively coupled plasma-mass spectrometry.

resultsTherapy-induced changes in tumor vasculature differed between low and highly malignant tumors. Sorafenib treatment led to decreased tumor perfusion and endothelial permeability in low malignant 67NR tumors. In contrast, highly malignant 4T1 tumors demonstrated characteristics of a transient window of vascular normalization with an increase in tumor perfusion and permeability early after therapy initiation, followed by decreased perfusion and permeability parameters. In the low malignant 67NR model, ICI treatment also mediated vessel-stabilizing effects with decreased tumor perfusion and permeability, while ICI-treated 4T1 tumors exhibited increasing tumor perfusion with excessive vascular leakage.

conclusionDCE-MRI enables noninvasive assessment of early changes in tumor vasculature after targeted therapies, revealing different response patterns between tumors with divergent degrees of malignancy. DCE-derived tumor perfusion and permeability parameters may serve as vascular biomarkers that allow for repetitive examination of response to antiangiogenic treatment or immunotherapy.

Indexed as

NeoplasmsAlbuminsAnimalsCognitionImmunotherapyMiceSorafenibTumor MicroenvironmentAlbuminsSorafenibImmune checkpoint inhibitionMagnetic resonance imagingSorafenibTargeted therapyTumor microenvironmentTumor vasculature

Identifiers

PMID37221619
PMCPMC10207609
OpenAlexW4377940556

What OpenQuestion holds

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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.