ArticleActa neuropathologica communications2022
DNA methylation-based age acceleration observed in IDH wild-type glioblastoma is associated with better outcome-including in elderly patients.
Article in Acta neuropathologica communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- DNA methylation profiling in central nervous system tumors: Where do we draw the line of clinical utility?World journal of experimental medicine · 2026Article
- Towards a personalized perspective on gliomas: an epigenetic-immuno-inflammatory aging framework.Frontiers in immunology · 2026Review
- DNA methylation analysis reveals an epigenetic signature distinctive of high-grade oligodendroglioma.Acta neuropathologica · 2025Article
- DNA methylation-based analysis reveals accelerated epigenetic aging in giant cell-enriched adult-type glioblastoma.Clinical epigenetics · 2024Article
- Mean global DNA methylation serves as independent prognostic marker in IDH-wildtype glioblastoma.Neuro-oncology · 2024Article
- Epigenetic clocks and gliomas: unveiling the molecular interactions between aging and tumor development.Frontiers in molecular biosciences · 2024Review
- Review
- Optimal managements of elderly patients with glioblastoma.Japanese journal of clinical oncology · 2022Review
- Methylation associated with long- or short-term survival in glioblastoma patients from the Nordic phase 3 trial.Frontiers in genetics · 2022Article
- DNA methylation-based deconvolution study of glioblastoma heterogeneity and identification of cell compositions associated with patient survival.Neuro-oncology advancesArticle
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Authors and funding
12 authors at 12 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Elderly patients represent a growing proportion of individuals with glioblastoma, who however, are often excluded from clinical trials owing to poor expected prognosis. We aimed at identifying age-related molecular differences that would justify and guide distinct treatment decisions in elderly glioblastoma patients. The combined DNA methylome (450 k) of four IDH wild-type glioblastoma datasets, comprising two clinical trial cohorts, was interrogated for differences based on the patients' age, DNA methylation (DNAm) age acceleration (DNAm age "Horvath-clock" minus patient age), DNA methylation-based tumor classification (Heidelberg), entropy, and functional methylation of DNA damage response (DDR) genes. Age dependent methylation included 19 CpGs (p-value ≤ 0.1, Bonferroni corrected), comprising a CpG located in the ELOVL2 gene that is part of a 13-gene forensic age predictor. Most of the age related CpGs (n = 16) were also associated with age acceleration that itself was associated with a large number of CpGs (n = 50,551). Over 70% age acceleration-associated CpGs (n = 36,348) overlapped with those associated with the DNA methylation based tumor classification (n = 170,759). Gene set enrichment analysis identified associated pathways, providing insights into the biology of DNAm age acceleration and respective commonalities with glioblastoma classification. Functional methylation of several DDR genes, defined as correlation of methylation with gene expression (r ≤ -0.3), was associated with age acceleration (n = 8), tumor classification (n = 12), or both (n = 4), the latter including MGMT. DNAm age acceleration was significantly associated with better outcome in both clinical trial cohorts, whereof one comprised only elderly patients. Multivariate analysis included treatment (RT, RT/TMZ→TMZ; TMZ, RT), MGMT promoter methylation status, and interaction with treatment. In conclusion, DNA methylation features of age acceleration are an integrative part of the methylation-based tumor classification (RTK I, RTK II, MES), while patient age seems hardly reflected in the glioblastoma DNA methylome. We found no molecular evidence justifying other treatments in elderly patients, not owing to frailty or co-morbidities.
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