Download
40478_2024_Article_1739.pdf 1,26MB
WeightNameValue
1000 Titel
  • Clinical implications of DNA methylation-based integrated classification of histologically defined grade 2 meningiomas
1000 Autor/in
  1. Ehret, Felix |
  2. Perez, Eilís |
  3. Teichmann, Daniel |
  4. Meier, Sandra |
  5. Geiler, Carola |
  6. Zeus, Cosmas |
  7. Franke, Helene |
  8. Roohani, Siyer |
  9. Wasilewski, David |
  10. Onken, Julia |
  11. Vajkoczy, Peter |
  12. Schweizer, Leonille |
  13. Kaul, David |
  14. Capper, David |
1000 Verlag BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-05-08
1000 Erschienen in
1000 Quellenangabe
  • 12(1):74
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s40478-024-01739-6 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11179204/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:p>The combination of DNA methylation analysis with histopathological and genetic features allows for a more accurate risk stratification and classification of meningiomas. Nevertheless, the implications of this classification for patients with grade 2 meningiomas, a particularly heterogeneous tumor entity, are only partially understood. We correlate the outcomes of histopathologically confirmed grade 2 meningioma with an integrated molecular-morphologic risk stratification and determine its clinical implications. Grade 2 meningioma patients treated at our institution were re-classified using an integrated risk stratification involving DNA methylation array-based data, copy number assessment and TERT promoter mutation analyses. Grade 2 meningioma cases according to the WHO 2021 criteria treated between 2007 and 2021 (n = 100) were retrospectively analyzed. The median clinical and radiographic follow-up periods were 59.8 and 54.4 months. A total of 38 recurrences and 17 deaths were observed. The local control rates of the entire cohort after 2-, 4-, and 6-years were 84.3%, 68.5%, and 50.8%, with a median local control time of 77.2 months. The distribution of the integrated risk groups were as follows: 31 low, 54 intermediate, and 15 high risk cases. In the multivariable Cox regression analysis, integrated risk groups were significantly associated with the risk of local recurrence (hazard ratio (HR) intermediate: 9.91, HR high-risk: 7.29, <jats:italic>p</jats:italic> &lt; 0.01). Gross total resections decreased the risk of local tumor progression (HR gross total resection: 0.19, <jats:italic>p</jats:italic> &lt; 0.01). The comparison of 1p status and integrated risk groups (low vs. intermediate/high) revealed nearly identical local control rates within their respective subgroups. In summary, only around 50% of WHO 2021 grade 2 meningiomas have an intermediate risk profile. Integrated molecular risk stratification is crucial to guide the management of patients with grade 2 tumors and should be routinely applied to avoid over- and undertreatment, especially concerning the use of adjuvant radiotherapy.</jats:p>
1000 Sacherschließung
lokal Aged, 80 and over [MeSH]
lokal Neoplasm Grading [MeSH]
lokal Aged [MeSH]
lokal Meningeal Neoplasms/classification [MeSH]
lokal Meningioma/genetics [MeSH]
lokal Neoplasm Recurrence, Local/pathology [MeSH]
lokal Male [MeSH]
lokal Meningioma/pathology [MeSH]
lokal Neoplasm Recurrence, Local/genetics [MeSH]
lokal DNA methylation
lokal Meningioma/classification [MeSH]
lokal Meningioma
lokal Meningeal Neoplasms/pathology [MeSH]
lokal Female [MeSH]
lokal Telomerase/genetics [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Retrospective Studies [MeSH]
lokal Middle Aged [MeSH]
lokal Atypical meningioma
lokal DNA Methylation [MeSH]
lokal Meningeal Neoplasms/genetics [MeSH]
lokal Research
lokal Risk score
lokal Radiotherapy
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0001-6177-1755|https://frl.publisso.de/adhoc/uri/UGVyZXosIEVpbMOtcw==|https://frl.publisso.de/adhoc/uri/VGVpY2htYW5uLCBEYW5pZWw=|https://frl.publisso.de/adhoc/uri/TWVpZXIsIFNhbmRyYQ==|https://frl.publisso.de/adhoc/uri/R2VpbGVyLCBDYXJvbGE=|https://frl.publisso.de/adhoc/uri/WmV1cywgQ29zbWFz|https://frl.publisso.de/adhoc/uri/RnJhbmtlLCBIZWxlbmU=|https://orcid.org/0000-0002-8232-4994|https://frl.publisso.de/adhoc/uri/V2FzaWxld3NraSwgRGF2aWQ=|https://frl.publisso.de/adhoc/uri/T25rZW4sIEp1bGlh|https://frl.publisso.de/adhoc/uri/VmFqa29jenksIFBldGVy|https://frl.publisso.de/adhoc/uri/U2Nod2VpemVyLCBMZW9uaWxsZQ==|https://orcid.org/0000-0002-7906-5629|https://frl.publisso.de/adhoc/uri/Q2FwcGVyLCBEYXZpZA==
1000 Hinweis
  • DeepGreen-ID: 33aabba45ed04473a45477fc45736349 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Deutschen Konsortium für Translationale Krebsforschung |
  2. Charité – Universitätsmedizin Berlin |
1000 Fördernummer
  1. -
  2. -
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Deutschen Konsortium für Translationale Krebsforschung |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Charité – Universitätsmedizin Berlin |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6517935.rdf
1000 Erstellt am 2025-07-05T07:44:35.631+0200
1000 Erstellt von 322
1000 beschreibt frl:6517935
1000 Zuletzt bearbeitet 2025-08-19T10:24:06.421+0200
1000 Objekt bearb. Tue Aug 19 10:24:06 CEST 2025
1000 Vgl. frl:6517935
1000 Oai Id
  1. oai:frl.publisso.de:frl:6517935 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source