Evidence map›Paper›PMID 38994029›Full record

ArticleTheranostics2024

Targeted opening of the blood-brain barrier using VCAM-1 functionalised microbubbles and "whole brain" ultrasound.

Vanessa A Johanssen, Jia-Ling Ruan, Oliver Vince, Alec Thomas, Sarah Peeters, Manuel Sarmiento Soto, Jessica Buck, Michael Gray, Eleanor Stride, Nicola R Sibson

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In one paragraph

Article in Theranostics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

10 authors.

Vanessa A JohanssenDepartment of Oncology, University of Oxford, Oxford, UK.
Jia-Ling RuanDepartment of Oncology, University of Oxford, Oxford, UK.
Oliver VinceInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK.
Alec ThomasInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK.
Sarah PeetersDepartment of Oncology, University of Oxford, Oxford, UK.
Manuel Sarmiento SotoDepartment of Oncology, University of Oxford, Oxford, UK.
Jessica BuckDepartment of Oncology, University of Oxford, Oxford, UK.
Michael GrayInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK.
Eleanor StrideInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, UK.
Nicola R SibsonDepartment of Oncology, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic tumours in the brain now represent one of the leading causes of death from cancer. Current treatments are largely ineffective owing to the combination of late diagnosis and poor delivery of therapies across the blood-brain barrier (BBB). Conjugating magnetic resonance imaging (MRI) contrast agents with a monoclonal antibody for VCAM-1 (anti-VCAM1) has been shown to enable detection of micrometastases, two to three orders of magnitude smaller in volume than those currently detectable clinically. The aim of this study was to exploit this targeting approach to enable localised and temporary BBB opening at the site of early-stage metastases using functionalised microbubbles and ultrasound.

Indexed as

Blood-Brain BarrierBrain NeoplasmsMagnetic Resonance ImagingMicrobubblesVascular Cell Adhesion Molecule-1AnimalsBrainBreast NeoplasmsCell Line, TumorContrast MediaDisease Models, AnimalFemaleGadolinium DTPAHumansMiceUltrasonographyContrast MediaGadolinium DTPAVascular Cell Adhesion Molecule-1blood-brain barriermetastasesmicrobubblestargeted drug deliverytherapeutic ultrasound

Identifiers

PMID38994029
PMCPMC11234285

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.