Evidence map›Paper›PMID 32030648›Full record

ReviewAdvances in experimental medicine and biology2020

Multimodal Molecular Imaging of the Tumour Microenvironment.

Claudia Foray, Cristina Barca, Philipp Backhaus, Sonja Schelhaas, Alexandra Winkeler, Thomas Viel, Michael Schäfers, Oliver Grauer, Andreas H Jacobs, Bastian Zinnhardt

Erratum issuedAbstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Interrogating Glioma-Associated Microglia and Macrophage Dynamics Under CSF-1R Therapy with Multitracer In Vivo PET/MRI.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  9. Article
  10. Biomimetic nanoparticles for tumor immunotherapy.Frontiers in bioengineering and biotechnology · 2022
    Review
  11. Imaging of the glioma microenvironment by TSPO PET.European journal of nuclear medicine and molecular imaging · 2021
    Review
  12. An Investigation of the Antigastric Cancer Effect in Tumor Microenvironment ofEvidence-based complementary and alternative medicine : eCAM · 2021
    Article
  13. Article
  14. Cancers · 2020
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Claudia ForayEuropean Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.
Cristina BarcaEuropean Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.
Philipp BackhausEuropean Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.
Sonja SchelhaasEuropean Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.
Alexandra WinkelerUMR 1023, IMIV, Service Hospitalier Frédéric Joliot, CEA, Inserm, Université Paris Sud, CNRS, Université Paris-Saclay, Orsay, France.
Thomas VielParis Centre de Recherche Cardiovasculaire, INSERM-U970, Université Paris Descartes, Paris, France.
Michael SchäfersEuropean Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.
Oliver GrauerDepartment of Neurology, University Hospital Münster, Münster, Germany.
Andreas H JacobsEuropean Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany.
Bastian ZinnhardtEuropean Institute for Molecular Imaging (EIMI), University of Münster, Münster, Germany. zinnhardt@uni-muenster.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumour microenvironment (TME) surrounding tumour cells is a highly dynamic and heterogeneous composition of immune cells, fibroblasts, precursor cells, endothelial cells, signalling molecules and extracellular matrix (ECM) components. Due to the heterogeneity and the constant crosstalk between the TME and the tumour cells, the components of the TME are important prognostic parameters in cancer and determine the response to novel immunotherapies. To improve the characterization of the TME, novel non-invasive imaging paradigms targeting the complexity of the TME are urgently needed.The characterization of the TME by molecular imaging will (1) support early diagnosis and disease follow-up, (2) guide (stereotactic) biopsy sampling, (3) highlight the dynamic changes during disease pathogenesis in a non-invasive manner, (4) help monitor existing therapies, (5) support the development of novel TME-targeting therapies and (6) aid stratification of patients, according to the cellular composition of their tumours in correlation to their therapy response.This chapter will summarize the most recent developments and applications of molecular imaging paradigms beyond FDG for the characterization of the dynamic molecular and cellular changes in the TME.

Indexed as

Molecular ImagingTumor MicroenvironmentHumansImmunotherapyNeoplasmsCancerCancer-Associated FibroblastsGAMMGliomaImmunotherapyMolecular imagingMRIMyeloid derived suppressor cellsPETTAMTMETSPOTumour infiltrating lymphocytesTumour microenvironmentVasculature

Identifiers

PMID32030648

What OpenQuestion holds

Textmetadata
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.