Evidence map›Paper›PMID 35213082›Full record

ReviewBrain pathology (Zurich, Switzerland)2022

Prognostic impact of genetic alterations and methylation classes in meningioma.

Anna S Berghoff, Thomas Hielscher, Gerda Ricken, Julia Furtner, Daniel Schrimpf, Georg Widhalm, Ursula Rajky, Christine Marosi, Johannes A Hainfellner, Andreas von Deimling and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Brain pathology (Zurich, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
10.6field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 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

12 authors at 2 institutions in 2 countries.

Anna S BerghoffDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-9379-6797
Thomas HielscherDivision of Biostatistics, German Cancer Research Center (DKFZ, Heidelberg, Germany.
Gerda RickenInstitute of Neurology, Medical University of Vienna, Vienna, Austria.
Julia FurtnerDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria.
Daniel SchrimpfClinical Cooperation Unit Neuropathology, German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany.
Georg WidhalmDepartment of Neurosurgery, Medical University of Vienna, Vienna, Austria.
Ursula RajkyDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Christine MarosiDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Johannes A HainfellnerInstitute of Neurology, Medical University of Vienna, Vienna, Austria.
Andreas von DeimlingClinical Cooperation Unit Neuropathology, German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany.
Felix SahmClinical Cooperation Unit Neuropathology, German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany.
Matthias PreusserDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.ORCID 0000-0003-3541-2315
Medical University of Vienna · ATGerman Cancer Research Center · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meningiomas are classified based on histological features, but genetic and epigenetic features are emerging as relevant biomarkers for outcome prediction and may supplement histomorphological evaluation. We investigated meningioma-relevant mutations and their correlation with DNA methylation clusters and patient survival times. Formalin-fixed and paraffin-embedded samples of 126 meningioma patients (WHO grade I 52/126; 41.3%; WHO grade II: 48/126; 38.1%; WHO grade III: 26/126; 20.6%) were investigated. We analyzed NF2, TRAF7, KLF4, ARID, SMO, AKT, TERT promotor, PIK3CA, and SUFU mutations using panel sequencing and correlated them to DNA methylation classes (MC) determined using 850k EPIC arrays. The TRAKL mutation genotype was characterized by the presence of any of the following mutations: TRAF7, AKT1, and KLF4. Survival data including progression-free survival (PFS) and overall survival (OS) was retrieved from chart review. Mutations were evident in 90/126 (71.4%) specimens with mutations in NF2 (39/126; 31.0%), TRAF7 (39/126; 31.0%) and KLF4 (25/126; 19.8%) being the most frequent ones. Two or more mutations were observed in 35/126 (27.8%) specimens. While TRAKL was predominantly found in benign MC, NF2 was associated with malign MC (p < 0.05). TRAF7, KLF4, and TRAKL mutation genotype were associated with improved PFS and OS (p < 0.05). TERT promotor methylation, intermediate, and malign MC were associated with impaired PFS and OS (p < 0.05). Methylation cluster showed better prognostic discrimination for PFS and OS (c-index 0.77/0.75) than each of the individual mutations (c-index 0.63/0.68). In multivariate analysis correcting for age, gender, MC, and WHO grade, none of the individual mutations except TERT remained an independent significant prognostic factor for PFS. Molecular profiling including mutational analysis and DNA methylation classification may facilitate more precise prognostic assessment and identification of potential targets for personalized therapy in meningioma patients.

Indexed as

Meningeal NeoplasmsMeningiomaDNA MethylationHumansMutationPrognosismeningiomamethylation classesmutationprognosis

Identifiers

PMID35213082
PMCPMC8877750
OpenAlexW4214549410

What OpenQuestion holds

Textmetadata
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.