Evidence map›Paper›PMID 38452246›Full record

Trial reportNeuro-oncology2024

3D volume growth rate evaluation in the EORTC-BTG-1320 clinical trial for recurrent WHO grade 2 and 3 meningiomas.

Emeline Tabouret, Julia Furtner, Thomas Graillon, Antonio Silvani, Emilie Le Rhun, Riccardo Soffietti, Giuseppe Lombardi, Juan Manuel Sepúlveda-Sánchez, Petter Brandal, Martin Bendszus and 6 more

Abstract readClinical Trial, Phase IIRandomized Controlled Trial
In one paragraph

Trial report in Neuro-oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. 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

16 authors.

Emeline TabouretAix-Marseille Univ, APHM, CNRS, INP, Inst Neurophysiopathol, CHU Timone, Service de Neurooncologie, Marseille, France.ORCID 0000-0002-4031-2178
Julia FurtnerFaculty of Medicine and Dentistry, Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Danube Private University, Krems, Austria.
Thomas GraillonAix-Marseille Univ, APHM, CHU Timone, Service de Neuro-chirurgie, Marseille, France.
Antonio SilvaniDepartment of Neuro-Oncology, IRCCS Fondazione Istituto Neurologico Carlo Besta, Milan, Italy.
Emilie Le RhunDepartment of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland.ORCID 0000-0002-9408-3278
Riccardo SoffiettiDivision of Neuro-Oncology, University of Torino, Turin, Italy.ORCID 0000-0002-9204-7038
Giuseppe LombardiDepartment of Oncology, Oncology 1, Veneto Institute of Oncology IOV-IRCCS, Padua, Italy.ORCID 0000-0003-1316-2132
Juan Manuel Sepúlveda-SánchezHospital Universitario e Instituto de Investigación 12 de Octubre, Unidad Multidisciplinar de Neuro-Oncología, Madrid, Spain.
Petter BrandalDepartment of Oncology and Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway.ORCID 0000-0003-0259-495X
Martin BendszusDepartment of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0002-9094-6769
Vassilis GolfinopoulosEORTC Headquarters, Brussels, Belgium.
Thierry GorliaEORTC Headquarters, Brussels, Belgium.
Michael WellerDepartment of Neurology, University Hospital and University of Zurich, Zurich, Switzerland.ORCID 0000-0002-1748-174X
Felix SahmDepartment of Neuropathology, University Hospital Heidelberg, Heidelberg University, Heidelberg, Germany.ORCID 0000-0001-5441-1962
Wolfgang WickGerman Consortium for Translational Cancer Research (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-6171-634X
Matthias PreusserDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-3541-2315

Funding

Else Kröner Fresenius Foundation 2017_EKES.24German Cancer Aid 70112956PharmaMar
6 · The paper itself

Abstract

backgroundWe previously reported that tumor 3D volume growth rate (3DVGR) classification could help in the assessment of drug activity in patients with meningioma using 3 main classes and a total of 5 subclasses: class 1: decrease; 2: stabilization or severe slowdown; 3: progression. The EORTC-BTG-1320 clinical trial was a randomized phase II trial evaluating the efficacy of trabectedin for recurrent WHO 2 or 3 meningioma. Our objective was to evaluate the discriminative value of 3DVGR classification in the EORTC-BTG-1320.

methodsAll patients with at least 1 available MRI before trial inclusion were included. 3D volume was evaluated on consecutive MRI until progression. 2D imaging response was centrally assessed by MRI modified Macdonald criteria. Clinical benefit was defined as neurological or functional status improvement or steroid decrease or discontinuation.

resultsSixteen patients with a median age of 58.5 years were included. Best 3DVGR classes were: 1, 2A, 3A, and 3B in 2 (16.7%), 4 (33.3%), 2 (16.7%), and 4 (33.3%) patients, respectively. All patients with progression-free survival longer than 6 months had best 3DVGR class 1 or 2. 3DVGR classes 1 and 2 (combined) had a median overall survival of 34.7 months versus 7.2 months for class 3 (P = .061). All class 1 patients (2/2), 75% of class 2 patients (3/4), and only 10% of class 3 patients (1/10) had clinical benefit.

conclusionsTumor 3DVGR classification may be helpful to identify early signals of treatment activity in meningioma clinical trials.

Indexed as

Meningeal NeoplasmsMeningiomaNeoplasm Recurrence, LocalAdultAgedAntineoplastic Agents, AlkylatingFemaleFollow-Up StudiesHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedNeoplasm GradingPrognosisSurvival RateAntineoplastic Agents, Alkylatingmeningiomaresponse criteriavolumetric assessment

Identifiers

PMID38452246
PMCPMC11226865

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.