Evidence map›Paper›PMID 34677383›Full record

ArticleMetabolites2021

Metabolic Tumor Microenvironment Characterization of Contrast Enhancing Brain Tumors Using Physiologic MRI.

Andreas Stadlbauer, Franz Marhold, Stefan Oberndorfer, Gertraud Heinz, Max Zimmermann, Michael Buchfelder, Elisabeth Heynold, Thomas M Kinfe

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

11 citing papers in PubMed, 12 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Andreas StadlbauerInstitute of Medical Radiology, University Clinic St. Pölten, Karl Landsteiner University of Health Sciences, 3100 St. Pölten, Austria.ORCID 0000-0001-8348-2620
Franz MarholdDepartment of Neurosurgery, University Clinic of St. Pölten, Karl Landsteiner University of Health Sciences, 3100 St. Pölten, Austria.ORCID 0000-0001-8338-8060
Stefan OberndorferDepartment of Neurology, University Clinic of St. Pölten, Karl Landsteiner University of Health Sciences, 3100 St. Pölten, Austria.
Gertraud HeinzInstitute of Medical Radiology, University Clinic St. Pölten, Karl Landsteiner University of Health Sciences, 3100 St. Pölten, Austria.ORCID 0000-0002-6037-7534
Max ZimmermannDepartment of Neurosurgery, Friedrich-Alexander University Erlangen-Nürnberg, 91054 Erlangen, Germany.ORCID 0000-0001-9330-9266
Michael BuchfelderDepartment of Neurosurgery, Friedrich-Alexander University Erlangen-Nürnberg, 91054 Erlangen, Germany.
Elisabeth HeynoldDepartment of Neurosurgery, Friedrich-Alexander University Erlangen-Nürnberg, 91054 Erlangen, Germany.
Thomas M KinfeDepartment of Neurosurgery, Friedrich-Alexander University Erlangen-Nürnberg, 91054 Erlangen, Germany.ORCID 0000-0002-4888-543X
Friedrich-Alexander-Universität Erlangen-Nürnberg · DEKarl Landsteiner University of Health Sciences · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment is a critical regulator of cancer development and progression as well as treatment response and resistance in brain neoplasms. The available techniques for investigation, however, are not well suited for noninvasive in vivo characterization in humans. A total of 120 patients (59 females; 61 males) with newly diagnosed contrast-enhancing brain tumors (64 glioblastoma, 20 brain metastases, 15 primary central nervous system (CNS) lymphomas (PCNSLs), and 21 meningiomas) were examined with a previously established physiological MRI protocol including quantitative blood-oxygen-level-dependent imaging and vascular architecture mapping. Six MRI biomarker maps for oxygen metabolism and neovascularization were fused for classification of five different tumor microenvironments: glycolysis, oxidative phosphorylation (OxPhos), hypoxia with/without neovascularization, and necrosis. Glioblastoma showed the highest metabolic heterogeneity followed by brain metastasis with a glycolysis-to-OxPhos ratio of approximately 2:1 in both tumor entities. In addition, glioblastoma revealed a significant higher percentage of hypoxia (24%) compared to all three other brain tumor entities: brain metastasis (7%;

Indexed as

brain tumorsenergy metabolismhypoxiametabolic imagingneovascularizationphysiological MRItumor microenvironment

Identifiers

PMID34677383
PMCPMC8537028
OpenAlexW3203670109

What OpenQuestion holds

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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.