Evidence map›Paper›PMID 30361791›Full record

ArticleMolecular imaging and biology2019

Predicting Glioblastoma Response to Bevacizumab Through MRI Biomarkers of the Tumor Microenvironment.

Andreas Stadlbauer, Karl Roessler, Max Zimmermann, Michael Buchfelder, Andrea Kleindienst, Arnd Doerfler, Gertraud Heinz, Stefan Oberndorfer

Abstract read
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In one paragraph

Article in Molecular imaging and biology, 2019. 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
1.2field-weighted citation impact, top 21% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Association between tissue hypoxia, perfusion restrictions, and microvascular architecture alterations with lesion-induced impairment of neurovascular coupling.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
    Article
  6. Article
  7. Differences of Angiogenesis Factors in Tumor and Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Review
  8. Article
  9. 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

8 authors at 2 institutions in 2 countries.

Andreas StadlbauerDepartment of Neurosurgery, University of Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany. andi@nmr.at.ORCID 0000-0001-8348-2620
Karl RoesslerDepartment of Neurosurgery, University of Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany.
Max ZimmermannDepartment of Neurosurgery, University of Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany.
Michael BuchfelderDepartment of Neurosurgery, University of Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany.
Andrea KleindienstDepartment of Neurosurgery, University of Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany.
Arnd DoerflerDepartment of Neuroradiology, University of Erlangen-Nürnberg, Schwabachanlage 6, 91054, Erlangen, Germany.
Gertraud HeinzInstitute of Medical Radiology, University Clinic of St. Pölten, Dunant-Platz 1, 3100, St. Pölten, Austria.
Stefan OberndorferDepartment of Neurology, University Clinic of St. Pölten, Dunant-Platz 1, 3100, St. Pölten, Austria.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversitätsklinikum St. Pölten · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGlioblastoma (GB) is one of the most vascularized of all solid tumors and, therefore, represents an attractive target for antiangiogenic therapies. Many lesions, however, quickly develop escape mechanisms associated with changes in the tumor microenvironment (TME) resulting in rapid treatment failure. To prevent patients from adverse effects of ineffective therapy, there is a strong need to better predict and monitor antiangiogenic treatment response. PROCEDURES: We utilized a novel physiological magnetic resonance imaging (MRI) method combining the visualization of oxygen metabolism and neovascularization for classification of five different TME compartments: necrosis, hypoxia with/without neovascularization, oxidative phosphorylation, and aerobic glycolysis. This approach, termed TME mapping, was used to monitor changes in tumor biology and pathophysiology within the TME in response to bevacizumab treatment in 18 patients with recurrent GB.

resultsWe detected dramatic changes in the TME by rearrangement of its compartments after the onset of bevacizumab treatment. All patients showed a decrease in active tumor volume and neovascularization as well as an increase in hypoxia and necrosis in the first follow-up after 3 months. We found that recurrent GB with a high percentage of neovascularization and active tumor before bevacizumab onset showed a poor or no treatment response.

conclusionsTME mapping might be useful to develop strategies for patient stratification and response prediction before bevacizumab onset.

Indexed as

Magnetic Resonance ImagingTumor MicroenvironmentBevacizumabBiomarkers, TumorBrain NeoplasmsDisease ProgressionFemaleGlioblastomaHumansMaleMiddle AgedSurvival AnalysisTreatment OutcomeBevacizumabBiomarkers, TumorAngiogenesisAntiangiogenic therapyBevacizumabGlioblastomaHypoxiaRecurrenceTreatment failureTreatment monitoringTumor microenvironment

Identifiers

PMID30361791
OpenAlexW2898498505

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.