Evidence map›Paper›PMID 35804911›Full record

ReviewCancers2022

In Vivo Quantitative Imaging of Glioma Heterogeneity Employing Positron Emission Tomography.

Cristina Barca, Claudia Foray, Bastian Zinnhardt, Alexandra Winkeler, Ulrich Herrlinger, Oliver M Grauer, Andreas H Jacobs

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 5 institutions in 3 countries.

Cristina BarcaEuropean Institute for Molecular Imaging (EIMI), University of Münster, D-48149 Münster, Germany.ORCID 0000-0001-8034-2948
Claudia ForayEuropean Institute for Molecular Imaging (EIMI), University of Münster, D-48149 Münster, Germany.
Bastian ZinnhardtEuropean Institute for Molecular Imaging (EIMI), University of Münster, D-48149 Münster, Germany.ORCID 0000-0002-8274-9108
Alexandra WinkelerUniversité Paris-Saclay, CEA, CNRS, Inserm, BioMaps, Service Hospitalier Frédéric Joliot, F-91401 Orsay, France.ORCID 0000-0003-3397-2570
Ulrich HerrlingerDivision of Clinical Neuro-Oncology, Department of Neurology, University Hospital Bonn, D-53105 Bonn, Germany.
Oliver M GrauerDepartment of Neurology with Institute of Translational Neurology, University Hospital Münster, D-48149 Münster, Germany.
Andreas H JacobsEuropean Institute for Molecular Imaging (EIMI), University of Münster, D-48149 Münster, Germany.
University of Münster · DECentre National de la Recherche Scientifique · FRRoche (Switzerland) · CHUniversity Hospital Bonn · DEUniversity Hospital Münster · DE

Funding

Horizon 2020 Programme 675417
6 · The paper itself

Abstract

Glioblastoma is the most common primary brain tumor, highly aggressive by being proliferative, neovascularized and invasive, heavily infiltrated by immunosuppressive glioma-associated myeloid cells (GAMs), including glioma-associated microglia/macrophages (GAMM) and myeloid-derived suppressor cells (MDSCs). Quantifying GAMs by molecular imaging could support patient selection for GAMs-targeting immunotherapy, drug target engagement and further assessment of clinical response. Magnetic resonance imaging (MRI) and amino acid positron emission tomography (PET) are clinically established imaging methods informing on tumor size, localization and secondary phenomena but remain quite limited in defining tumor heterogeneity, a key feature of glioma resistance mechanisms. The combination of different imaging modalities improved the in vivo characterization of the tumor mass by defining functionally distinct tissues probably linked to tumor regression, progression and infiltration. In-depth image validation on tracer specificity, biological function and quantification is critical for clinical decision making. The current review provides a comprehensive overview of the relevant experimental and clinical data concerning the spatiotemporal relationship between tumor cells and GAMs using PET imaging, with a special interest in the combination of amino acid and translocator protein (TSPO) PET imaging to define heterogeneity and as therapy readouts.

Indexed as

[18F]DPA-714[18F]FETglioblastomaheterogeneitymagnetic resonance imagingpositron emission tomographytranslocator proteintumor microenvironment

Identifiers

PMID35804911
PMCPMC9264799
OpenAlexW4283657966

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.