DNA-methylome-assisted classification of patients with poor prognostic subventricular zone associated IDH-wildtype glioblastoma.
Adaptor Proteins, Signal Transducing
/ genetics
Brain Neoplasms
/ diagnostic imaging
DNA Copy Number Variations
Epigenome
Eye Proteins
/ genetics
Glioblastoma
/ diagnostic imaging
Humans
Intracellular Signaling Peptides and Proteins
/ genetics
Lateral Ventricles
/ diagnostic imaging
Prognosis
Retrospective Studies
Journal
Acta neuropathologica
ISSN: 1432-0533
Titre abrégé: Acta Neuropathol
Pays: Germany
ID NLM: 0412041
Informations de publication
Date de publication:
07 2022
07 2022
Historique:
received:
03
01
2022
accepted:
21
05
2022
revised:
04
05
2022
pubmed:
7
6
2022
medline:
25
6
2022
entrez:
6
6
2022
Statut:
ppublish
Résumé
Glioblastoma (GBM) derived from the "stem cell" rich subventricular zone (SVZ) may constitute a therapy-refractory subgroup of tumors associated with poor prognosis. Risk stratification for these cases is necessary but is curtailed by error prone imaging-based evaluation. Therefore, we aimed to establish a robust DNA methylome-based classification of SVZ GBM and subsequently decipher underlying molecular characteristics. MRI assessment of SVZ association was performed in a retrospective training set of IDH-wildtype GBM patients (n = 54) uniformly treated with postoperative chemoradiotherapy. DNA isolated from FFPE samples was subject to methylome and copy number variation (CNV) analysis using Illumina Platform and cnAnalysis450k package. Deep next-generation sequencing (NGS) of a panel of 130 GBM-related genes was conducted (Agilent SureSelect/Illumina). Methylome, transcriptome, CNV, MRI, and mutational profiles of SVZ GBM were further evaluated in a confirmatory cohort of 132 patients (TCGA/TCIA). A 15 CpG SVZ methylation signature (SVZM) was discovered based on clustering and random forest analysis. One third of CpG in the SVZM were associated with MAB21L2/LRBA. There was a 14.8% (n = 8) discordance between SVZM vs. MRI classification. Re-analysis of these patients favored SVZM classification with a hazard ratio (HR) for OS of 2.48 [95% CI 1.35-4.58], p = 0.004 vs. 1.83 [1.0-3.35], p = 0.049 for MRI classification. In the validation cohort, consensus MRI based assignment was achieved in 62% of patients with an intraclass correlation (ICC) of 0.51 and non-significant HR for OS (2.03 [0.81-5.09], p = 0.133). In contrast, SVZM identified two prognostically distinct subgroups (HR 3.08 [1.24-7.66], p = 0.016). CNV alterations revealed loss of chromosome 10 in SVZM- and gains on chromosome 19 in SVZM- tumors. SVZM- tumors were also enriched for differentially mutated genes (p < 0.001). In summary, SVZM classification provides a novel means for stratifying GBM patients with poor prognosis and deciphering molecular mechanisms governing aggressive tumor phenotypes.
Identifiants
pubmed: 35660939
doi: 10.1007/s00401-022-02443-2
pii: 10.1007/s00401-022-02443-2
pmc: PMC9217840
doi:
Substances chimiques
Adaptor Proteins, Signal Transducing
0
Eye Proteins
0
Intracellular Signaling Peptides and Proteins
0
MAB21L2 protein, human
0
LRBA protein, human
EC 2.7.10.-
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
129-142Informations de copyright
© 2022. The Author(s).
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