Evidence map›Paper›PMID 33068421›Full record

ArticleNeuro-oncology2021

Associations of meningioma molecular subgroup and tumor recurrence.

Mark W Youngblood, Danielle F Miyagishima, Lan Jin, Trisha Gupte, Chang Li, Daniel Duran, Julio D Montejo, Amy Zhao, Amar Sheth, Evgeniya Tyrtova and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Neuro-oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
95citing papers in PubMed, 4 pooled it
13.7field-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

95 citing papers in PubMed, 4 syntheses or guidelines pooled it, 170 citations in OpenAlex.

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35 more citing papers are in PubMed but not listed here.

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

25 authors at 10 institutions in 4 countries.

Mark W YoungbloodYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.ORCID 0000-0002-1044-8015
Danielle F MiyagishimaYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Lan JinYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Trisha GupteYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Chang LiYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Daniel DuranYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Julio D MontejoYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Amy ZhaoYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Amar ShethYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Evgeniya TyrtovaYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Koray ÖzdumanDepartment of Neurosurgery, Acibadem Mehmet Ali Aydınlar University, School of Medicine, Istanbul, Turkey.
Francesco IacoangeliDepartment of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.
Matthieu PeyreDepartment of Neurosurgery, Pitie-Salpetriere Hospital and Sorbonne University, Paris, France.
Julien BoettoDepartment of Neurosurgery, Pitie-Salpetriere Hospital and Sorbonne University, Paris, France.
Matthew PeaseDepartment of Neurosurgery, Pitie-Salpetriere Hospital and Sorbonne University, Paris, France.
Timuçin AvşarDepartment of Medical Biology, Bahçeşehir University (BAU) Faculty of Medicine, Istanbul, Turkey.
Anita HuttnerYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Kaya BilguvarYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Türker KilicDepartment of Neurosurgery, BAU, School of Medicine, Istanbul, Turkey.
M Necmettin PamirDepartment of Neurosurgery, Acibadem Mehmet Ali Aydınlar University, School of Medicine, Istanbul, Turkey.
Nduka AmankulorDepartment of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Michel KalamaridesDepartment of Neurosurgery, Pitie-Salpetriere Hospital and Sorbonne University, Paris, France.
E Zeynep Erson-OmayYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Murat GünelYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Jennifer MoliternoYale Program in Brain Tumor Research, Yale School of Medicine, New Haven, Connecticut, USA.
Yale Cancer Center · USSorbonne Université · FRKent Hastanesi · TRBahçeşehir University · TRCentral South University · CNDartmouth–Hitchcock Medical Center · USNorthwestern University · USUniversity of Pittsburgh Medical Center · USUniversity of Washington · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007205 · NIGMS · YALE UNIVERSITY · PI KAZMIERCZAK, BARBARA I · 1985 to 2019
$42.9M
Medical Scientist Training ProgramT32GM136651 · NIGMS · YALE UNIVERSITY · PI BARBARA I KAZMIERCZAK · 2020 to 2026
$16.5M
PBAF Signaling in Meningioma TumorigenesisF30CA213666 · NCI · YALE UNIVERSITY · PI YOUNGBLOOD, MARK · 2018 to 2019
$40k
NCATS NIH HHS UL1 TR001863NCI NIH HHS F30 CA213666NIGMS NIH HHS T32 GM007205NIGMS NIH HHS T32 GM136651
6 · The paper itself

Abstract

backgroundWe and others have identified mutually exclusive molecular subgroups of meningiomas; however, the implications of this classification for clinical prognostication remain unclear. Integrated genomic and epigenomic analyses implicate unique oncogenic processes associated with each subgroup, suggesting the potential for divergent clinical courses. The aim of this study was to understand the associated clinical outcomes of each subgroup, as this could optimize treatment for patients.

methodsWe analyzed outcome data for 469 meningiomas of known molecular subgroup, including extent of resection, postoperative radiation, surveillance imaging, and time to recurrence, when applicable. Statistical relationships between outcome variables and subgroup were assessed. Features previously associated with recurrence were further investigated after stratification by subgroup. We used Kaplan-Meier analyses to compare progression-free survival, and identified factors significantly associated with recurrence using Cox proportional hazards modeling.

resultsMeningioma molecular subgroups exhibited divergent clinical courses at 2 years of follow-up, with several aggressive subgroups (NF2, PI3K, HH, tumor necrosis factor receptor-associated factor 7 [TRAF7]) recurring at an average rate of 22 times higher than others (KLF4, POLR2A, SMARCB1). PI3K-activated tumors recurred earlier than other subgroups but had intermediate long-term outcome. Among low-grade tumors, HH and TRAF7 meningiomas exhibited elevated recurrence compared with other subgroups. Recurrence of NF2 tumors was associated with male sex, high grade, and elevated Ki-67. Multivariate analysis identified molecular subgroup as an independent predictor of recurrence, along with grade and previous recurrence.

conclusionWe describe distinct clinical outcomes and recurrence rates associated with meningioma molecular subgroups. Our findings emphasize the importance of genomic characterization to guide postoperative management decisions for meningiomas.

Indexed as

Meningeal NeoplasmsMeningiomaEpigenomicsGenomicsHumansKruppel-Like Factor 4MaleNeoplasm Recurrence, LocalRetrospective StudiesKruppel-Like Factor 4meningioma genomicsmolecular subgroupsprecision medicinetumor prognosis

Identifiers

PMID33068421
PMCPMC8099468
OpenAlexW3093325233

What OpenQuestion holds

Textmetadata
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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.