001     178941
005     20240229143600.0
024 7 _ |a 10.1111/bpa.12970
|2 doi
024 7 _ |a pmid:35213082
|2 pmid
024 7 _ |a 1015-6305
|2 ISSN
024 7 _ |a 1750-3639
|2 ISSN
024 7 _ |a altmetric:123678164
|2 altmetric
037 _ _ |a DKFZ-2022-00357
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Berghoff, Anna S
|b 0
245 _ _ |a Prognostic impact of genetic alterations and methylation classes in meningioma.
260 _ _ |a Oxford
|c 2022
|b Wiley-Blackwell
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1685705300_5389
|2 PUB:(DE-HGF)
|x Review Article
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #LA:B300#
520 _ _ |a 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.
536 _ _ |a 312 - Funktionelle und strukturelle Genomforschung (POF4-312)
|0 G:(DE-HGF)POF4-312
|c POF4-312
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
650 _ 7 |a meningioma
|2 Other
650 _ 7 |a methylation classes
|2 Other
650 _ 7 |a mutation
|2 Other
650 _ 7 |a prognosis
|2 Other
700 1 _ |a Hielscher, Thomas
|0 P:(DE-He78)743a4a82daab55306a2c88b9f6bf8c2f
|b 1
700 1 _ |a Ricken, Gerda
|b 2
700 1 _ |a Furtner, Julia
|b 3
700 1 _ |a Schrimpf, Daniel
|0 P:(DE-He78)e54a1e0999c1d8c95869ef9188b794cc
|b 4
700 1 _ |a Widhalm, Georg
|b 5
700 1 _ |a Rajky, Ursula
|b 6
700 1 _ |a Marosi, Christine
|b 7
700 1 _ |a Hainfellner, Johannes A
|b 8
700 1 _ |a von Deimling, Andreas
|0 P:(DE-He78)a8a10626a848d31e70cfd96a133cc144
|b 9
700 1 _ |a Sahm, Felix
|0 P:(DE-He78)a1f4b408b9155beb2a8f7cba4d04fe88
|b 10
|e Last author
700 1 _ |a Preusser, Matthias
|0 0000-0003-3541-2315
|b 11
773 _ _ |a 10.1111/bpa.12970
|g Vol. 32, no. 2
|0 PERI:(DE-600)2029927-8
|n 2
|p e12970
|t Brain pathology
|v 32
|y 2022
|x 1015-6305
909 C O |p VDB
|o oai:inrepo02.dkfz.de:178941
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 1
|6 P:(DE-He78)743a4a82daab55306a2c88b9f6bf8c2f
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)e54a1e0999c1d8c95869ef9188b794cc
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 9
|6 P:(DE-He78)a8a10626a848d31e70cfd96a133cc144
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 10
|6 P:(DE-He78)a1f4b408b9155beb2a8f7cba4d04fe88
913 1 _ |a DE-HGF
|b Gesundheit
|l Krebsforschung
|1 G:(DE-HGF)POF4-310
|0 G:(DE-HGF)POF4-312
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Funktionelle und strukturelle Genomforschung
|x 0
914 1 _ |y 2022
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2021-02-02
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2021-02-02
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2021-02-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-17
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2022-09-26T13:10:13Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2022-09-26T13:10:13Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2022-09-26T13:10:13Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-17
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-17
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2022-11-17
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2022-11-17
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b BRAIN PATHOL : 2021
|d 2022-11-17
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-17
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2022-11-17
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2022-11-17
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b BRAIN PATHOL : 2021
|d 2022-11-17
920 2 _ |0 I:(DE-He78)B300-20160331
|k B300
|l KKE Neuropathologie
|x 0
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l C060 Biostatistik
|x 0
920 1 _ |0 I:(DE-He78)B300-20160331
|k B300
|l KKE Neuropathologie
|x 1
920 1 _ |0 I:(DE-He78)HD01-20160331
|k HD01
|l DKTK HD zentral
|x 2
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a I:(DE-He78)B300-20160331
980 _ _ |a I:(DE-He78)HD01-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21