Evidence map›Paper›PMID 40084168›Full record

ArticleNeuro-oncology advances

Functional connectivity between tumor region and resting-state networks as imaging biomarker for overall survival in recurrent gliomas diagnosed by

Michel Friedrich, Jan-Michael Werner, Joachim P Steinbach, Michael Sabel, Ulrich Herrlinger, Marc Piroth, Gabriele Stoffels, Christian P Filss, Philipp Lohmann, Nadim J Shah and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Biological tumor volume predicts survival in recurrent High-Grade glioma: A multiparametric [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. 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

17 authors.

Michel FriedrichInstitute of Neuroscience and Medicine (INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0003-2409-4614
Jan-Michael WernerDepartment of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-7147-4594
Joachim P SteinbachDepartment of Neuro-Oncology, University Hospital Frankfurt - Goethe-University, Frankfurt, Germany.
Michael SabelDepartment of Neurosurgery, Heinrich Heine University Medical Faculty and University Hospital Düsseldorf, Düsseldorf, Germany.
Ulrich HerrlingerDepartment of Neurooncology, Center for Neurology, University Hospital Bonn, Bonn, Germany.
Marc PirothDepartment of Radiation Oncology, Helios University Hospital Wuppertal, Faculty of Health, Witten/Herdecke University, Wuppertal, Germany.
Gabriele StoffelsInstitute of Neuroscience and Medicine (INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0001-7114-1941
Christian P FilssDepartment of Nuclear Medicine, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany.ORCID https://orcid.org/0000-0002-9927-6335
Philipp LohmannDepartment of Nuclear Medicine, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany.ORCID https://orcid.org/0000-0002-5360-046X
Nadim J ShahDepartment of Neurology, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany.
Maximilian I RugeCenter of Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Cologne, Germany.
Felix M MottaghyDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0002-7212-6521
Roland GoldbrunnerCenter for Neurosurgery, Department of General Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
Karl-Josef LangenInstitute of Neuroscience and Medicine (INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.
Gereon R FinkInstitute of Neuroscience and Medicine (INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany.
Martin KocherDepartment for Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0002-5674-9227
Norbert GalldiksCenter of Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Cologne, Germany.ORCID https://orcid.org/0000-0002-2485-1796

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Amino acid PET using the tracer Methods: The study included 82 patients (26-81 years; median Eastern Cooperative Oncology Group performance score, 0) with recurrent gliomas following therapy (WHO-CNS 2021 grade 4 glioblastoma, Results: WHO tumor grade and IDH mutation status were strong predictors of OS after recurrence ( Conclusions: Recurrent gliomas exhibit significant FC to resting-state networks of the brain. Besides tumor type and grade, high FC between the tumor and distinct networks could serve as independent prognostic factors for improved OS in these patients.

Indexed as

amino acid PETBOLD signalcancer neurosciencefunctional MRIprognostic biomarker

Identifiers

PMID40084168
PMCPMC11904474

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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.