Evidence map›Paper›PMID 39545524›Full record

ArticleCancer medicine2024

Gliosarcoma: A Multi-Institutional Analysis on Clinical Outcomes and Prognostic Factors.

Siyer Roohani, Maximilian Mirwald, Felix Ehret, Christoph Fink, Laila König, Jana Käthe Striefler, Noelle Samira Jacob, Ilinca Popp, Johannes Steffel, Jolina Handtke and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Siyer RoohaniDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-8232-4994
Maximilian MirwaldDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Felix EhretDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0001-6177-1755
Christoph FinkDepartment of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany.
Laila KönigDepartment of Radiation Oncology, University Hospital Heidelberg, Heidelberg, Germany.
Jana Käthe StrieflerDepartment of Internal Medicine II, Oncology/Hematology/BMT/Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-0612-3023
Noelle Samira JacobDepartment of Internal Medicine II, Oncology/Hematology/BMT/Pneumology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Ilinca PoppDepartment of Radiation Oncology, Medical Center University of Freiburg, Faculty of Medicine, Freiburg, Germany.
Johannes SteffelDepartment of Radiation Oncology, Medical Center University of Freiburg, Faculty of Medicine, Freiburg, Germany.
Jolina HandtkeDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Noa Marie ClaßenDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Titus RotermundDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Daniel ZipsDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Peter VajkoczyDepartment of Neurosurgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Ulrich SchüllerDepartment of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Mateusz Jacek SpałekDepartment of Soft Tissue/Bone Sarcoma and Melanoma, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
David KaulDepartment of Radiation Oncology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-7906-5629

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study describes oncological outcomes and investigates prognostic factors for patients with gliosarcomas (GSM).

methodsHistopathologically confirmed GSM patients who underwent treatment at five European institutions were retrospectively analyzed.

resultsWe analyzed 170 patients with a median clinical follow-up time of 9.2 months. The majority received surgery (94.1%), postoperative radiotherapy (pRT, 81.8%), and temozolomide (TMZ)-based postoperative chemotherapy (66.5%). The median overall survival (OS) and progression-free survival (PFS) were 12.3 and 6.6 months, respectively. In the multivariable Cox regression analysis (MVA), the following factors were significantly associated with OS: age per year (hazard ratio (HR): 1.03, p < 0.001), subtotal resection (STR) versus biopsy only (HR: 0.15, p = 0.018), gross total resection (GTR) versus biopsy only (HR: 0.13, p = 0.011), pRT versus no pRT (HR: 0.20, p < 0.001), postoperative TMZ-based chemotherapy versus no postoperative chemotherapy (HR: 0.44, p = 0.003), MGMT promoter non-methylated versus methylated (HR: 1.79, p = 0.05), and tumor diameter per cm (HR: 1.15, p = 0.046). For PFS, the following factors were significantly associated in the MVA: GTR versus biopsy only (HR: 0.19, p = 0.026), pRT versus no pRT (HR: 0.36, p = 0.006), postoperative TMZ-based chemotherapy vs. no postoperative chemotherapy (HR: 0.39, p < 0.001), MGMT promoter status unknown versus methylated (HR: 1.69, p = 0.034), and tumor diameter per cm (HR: 1.18, p = 0.016). Sex, primary or secondary GSM, and TP53 mutational status were not significantly associated with OS or PFS.

conclusionsTrimodal therapy comprising surgical resection, pRT and TMZ-based chemotherapy appears to have the most beneficial effect on survival in GSM patients. Smaller tumor size, younger age and methylated MGMT promoters are associated with improved survival. To our knowledge, this is the largest multi-institutional cohort study investigating outcomes and prognostic factors for GSM.

Indexed as

Brain NeoplasmsGliosarcomaAdolescentAdultAgedAged, 80 and overCombined Modality TherapyDNA Modification MethylasesDNA Repair EnzymesFemaleHumansMaleMiddle AgedPrognosisProgression-Free SurvivalRetrospective StudiesDNA Modification MethylasesDNA Repair EnzymesMGMT protein, humanTemozolomideTumor Suppressor ProteinsgliosarcomaMGMToutcomesprognostic factorsradiotherapysurgeryTP53

Identifiers

PMID39545524
PMCPMC11565255

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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.