- AutorIn
- Edith Willscher
- Lydia Hopp
- Markus Kreuz
- Maria Schmidt
- Siras Hakobyan
- Arsen Arakelyan
- Bettina Hentschel
- David T. W. Jones
- Stefan M. Pfister
- Markus Loeffler
- Henry Loeffler-Wirth
- Hans Binder
- Titel
- High-Resolution Cartography of the Transcriptome and Methylome Landscapes of Diffuse Gliomas
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-849825
- Quellenangabe
- Cancers
Erscheinungsjahr: 2021
Jahrgang: 13
Heft: 13
E-ISSN: 2072-6694
Artikelnummer: 3198 - Erstveröffentlichung
- 2021
- Abstract (EN)
- Molecular mechanisms of lower-grade (II–III) diffuse gliomas (LGG) are still poorly understood, mainly because of their heterogeneity. They split into astrocytoma- (IDH-A) and oligodendroglioma-like (IDH-O) tumors both carrying mutations(s) at the isocitrate dehydrogenase (IDH) gene and into IDH wild type (IDH-wt) gliomas of glioblastoma resemblance. We generated detailed maps of the transcriptomes and DNA methylomes, revealing that cell functions divided into three major archetypic hallmarks: (i) increased proliferation in IDH-wt and, to a lesser degree, IDH-O; (ii) increased inflammation in IDH-A and IDH-wt; and (iii) the loss of synaptic transmission in all subtypes. Immunogenic properties of IDH-A are diverse, partly resembling signatures observed in grade IV mesenchymal glioblastomas or in grade I pilocytic astrocytomas. We analyzed details of coregulation between gene expression and DNA methylation and of the immunogenic micro-environment presumably driving tumor development and treatment resistance. Our transcriptome and methylome maps support personalized, case-by-case views to decipher the heterogeneity of glioma states in terms of data portraits. Thereby, molecular cartography provides a graphical coordinate system that links gene-level information with glioma subtypes, their phenotypes, and clinical context.
- Andere Ausgabe
- Link zur Erstveröffentlichung
Link: https://doi.org/10.3390/cancers13133198 - Freie Schlagwörter (EN)
- grade II–IV gliomas; gene expression; DNA methylation; tumor heterogeneity; molecular subtypes; tumor evolution; self-organizing maps machine learning; integrative bioinformatics
- Klassifikation (DDC)
- 610
- Verlag
- MDPI, Basel
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-849825
- Veröffentlichungsdatum Qucosa
- 26.04.2023
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0