Clinical Characteristics and Magnetic Resonance Imaging-Based Prediction of the KLF4


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
10 2021
Historique:
received: 08 06 2021
revised: 23 07 2021
accepted: 24 07 2021
pubmed: 4 8 2021
medline: 18 12 2021
entrez: 3 8 2021
Statut: ppublish

Résumé

Meningioma is the most common primary brain tumor in adults. In recent years, several non-neurofibromin 2 mutations, i.e., AKT1, SMO, TRAF7, and KLF4 mutations, specific for meningioma have been identified. This study aims to analyze the clinical impact and imaging characteristics of the KLF4 Clinical, neuropathologic, and imaging data of 170 patients who underwent meningioma resection between 2013 and 2018 were retrospectively collected and tumors were analyzed for the presence of the KLF4 Eighteen (10.6%) of the meningiomas carried the KLF4 The KLF4

Sections du résumé

BACKGROUND
Meningioma is the most common primary brain tumor in adults. In recent years, several non-neurofibromin 2 mutations, i.e., AKT1, SMO, TRAF7, and KLF4 mutations, specific for meningioma have been identified. This study aims to analyze the clinical impact and imaging characteristics of the KLF4
METHODS
Clinical, neuropathologic, and imaging data of 170 patients who underwent meningioma resection between 2013 and 2018 were retrospectively collected and tumors were analyzed for the presence of the KLF4
RESULTS
Eighteen (10.6%) of the meningiomas carried the KLF4
CONCLUSIONS
The KLF4

Identifiants

pubmed: 34343686
pii: S1878-8750(21)01128-1
doi: 10.1016/j.wneu.2021.07.119
pii:
doi:

Substances chimiques

KLF4 protein, human 0
Kruppel-Like Factor 4 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e665-e670

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Niklas von Spreckelsen (N)

Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany; Department of Neuropathology, Otto-von-Guericke University, Magdeburg, Germany. Electronic address: niklas.von-spreckelsen@uk-koeln.de.

Natalie Waldt (N)

Department of Neuropathology, Otto-von-Guericke University, Magdeburg, Germany.

Marco Timmer (M)

Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.

Lukas Goertz (L)

Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.

David Reinecke (D)

Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.

Kai Laukamp (K)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.

Lenhard Pennig (L)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.

Stefan Grau (S)

Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.

Martina Deckert (M)

Institute of Neuropathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.

Elmar Kirches (E)

Department of Neuropathology, Otto-von-Guericke University, Magdeburg, Germany.

Pantelis Stavrinou (P)

Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.

Christian Mawrin (C)

Department of Neuropathology, Otto-von-Guericke University, Magdeburg, Germany.

Roland Goldbrunner (R)

Department of Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital, University of Cologne, Cologne, Germany.

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Classifications MeSH