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1000 Titel
  • DNA methylation-based analysis reveals accelerated epigenetic aging in giant cell-enriched adult-type glioblastoma
1000 Autor/in
  1. Cakmak, Pinar |
  2. Jurmeister, Philipp |
  3. Divé, Iris |
  4. Zeiner, Pia S. |
  5. Steinbach, Joachim P. |
  6. Fenton, Tim R. |
  7. Plate, Karl H. |
  8. Czabanka, Marcus |
  9. Harter, Patrick N. |
  10. Weber, Katharina J. |
1000 Verlag
  • BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-12-11
1000 Erschienen in
1000 Quellenangabe
  • 16(1):179
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s13148-024-01793-w |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11636044/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Giant cell (gc)-enriched glioblastoma (gcGB) represents a distinct histological variant of isocitrate dehydrogenase wild-type adult-type glioblastoma with notable enlarged mono- or multinuclear tumor cells. While some studies suggest a survival advantage for gcGB patients, the underlying causes remain elusive. GcGBs are associated with TP53 mutations, and gcs were shown to accumulate DNA double-strand breaks and show deficient mitosis, potentially triggering cellular senescence programs. Epigenetic clocks have emerged as valuable tools for assessing tumor-induced age acceleration (DNAMethAgeAcc), which has lately proved itself as prognostic biomarker in glioblastoma. Our study aimed to comprehensively analyze the methylome and key metabolic proteins of gcGBs, hypothesizing that they undergo cellular aging programs compared to non-gcGBs.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>A total of 310 epigenetically classified GBs, including 26 gcGBs, and nine adults with malignant gliomas allocating to pediatric high-grade glioma molecular subclasses (summarized as “pediatric GB”) were included. DNAMethAgeAcc was computed by subtraction of chronological patient ages from DNA methylome-derived age estimations and its increase was associated with better survival within gcGB and non-gcGB. GcGBs were significantly more often allocated to the subgroup with increased DNAMethAgeAcc and demonstrated the highest DNAMethAgeAcc. Hypothetical senescence/aging-induced changes of the tumor microenvironment were addressed by tumor deconvolution, which was able to identify a cluster enriched for tumors with increased DNAMethAgeAcc. Key metabolic protein expression did not differ between gcGB and non-gcGB and tumor with versus without increased DNAMethAgeAcc but for elevated levels of one single mitochondrial marker, anti-mitochondrial protein MT-C02, in gcGBs.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>With its sped-up epigenetic aging, gcGB presented as the epigenetic oldest GB variant in our cohort. Whereas the correlation between accelerated tumor-intrinsic epigenetic aging and cellular senescence in gcGB stays elusive, fostering epigenetic aging programs in GB might be of interest for future exploration of alternative treatment options in GB patients.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Giant cell glioblastoma
lokal DNA Methylation/genetics [MeSH]
lokal Female [MeSH]
lokal Aged [MeSH]
lokal Brain Neoplasms/genetics [MeSH]
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Pediatric-type high-grade glioma
lokal Middle Aged [MeSH]
lokal Glioblastoma/pathology [MeSH]
lokal Male [MeSH]
lokal DNA methylation age acceleration
lokal Research
lokal Epigenesis, Genetic/genetics [MeSH]
lokal Cellular Senescence/genetics [MeSH]
lokal Glioblastoma/genetics [MeSH]
lokal Epigenetic aging
lokal Isocitrate Dehydrogenase/genetics [MeSH]
lokal Brain Neoplasms/pathology [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/Q2FrbWFrLCBQaW5hcg==|https://frl.publisso.de/adhoc/uri/SnVybWVpc3RlciwgUGhpbGlwcA==|https://frl.publisso.de/adhoc/uri/RGl2w6ksIElyaXM=|https://frl.publisso.de/adhoc/uri/WmVpbmVyLCBQaWEgUy4=|https://frl.publisso.de/adhoc/uri/U3RlaW5iYWNoLCBKb2FjaGltIFAu|https://frl.publisso.de/adhoc/uri/RmVudG9uLCBUaW0gUi4=|https://frl.publisso.de/adhoc/uri/UGxhdGUsIEthcmwgSC4=|https://frl.publisso.de/adhoc/uri/Q3phYmFua2EsIE1hcmN1cw==|https://frl.publisso.de/adhoc/uri/SGFydGVyLCBQYXRyaWNrIE4u|https://frl.publisso.de/adhoc/uri/V2ViZXIsIEthdGhhcmluYSBKLg==
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1000 Label
1000 Förderer
  1. Dr. Senckenbergische Stiftung |
  2. Mildred Scheel Career Center Frankfurt |
  3. Johann Wolfgang Goethe-Universität, Frankfurt am Main |
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    1000 Förderer Mildred Scheel Career Center Frankfurt |
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    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Johann Wolfgang Goethe-Universität, Frankfurt am Main |
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1000 Erstellt am 2025-07-06T20:01:19.575+0200
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