ArticleFrontiers in oncology2022
Methylation-based reclassification and risk stratification of skull-base chordomas.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Review
- Immune infiltration is associated with distinct transcriptional states and metabolic profiles in chordomas.iScience · 2026Article
- From Histology to Multi-Omics: Review of Chordoma Classification and Its Clinical Implications.Cells · 2026Review
- Exploring perspectives on skull base chordoma management: a modified Delphi approach to consensus.Journal of neuro-oncology · 2025Article
- Radiogenomic method combining DNA methylation profiles and magnetic resonance imaging radiomics predicts patient prognosis in skull base chordoma.Clinical epigenetics · 2025Article
- Artificial intelligence and chordoma: A scoping review of the current landscape and future directions.Brain & spine · 2025Review
- Multimodal profiling of chordoma immunity reveals distinct immune contextures.Journal for immunotherapy of cancer · 2024Article
- Role of immunotherapy in treatment refractory chordomas: review of current evidence.Frontiers in surgery · 2024Review
- DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment.Acta neuropathologica communications · 2023Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Skull-base chordomas are rare malignant bone cancers originating from the remnant of the notochord. Survival is variable, and clinical or molecular factors cannot reliably predict their outcomes. This study therefore identified epigenetic subtypes that defined new chordoma epigenetic profiles and their corresponding characteristics. Methods: Methylation profiles of 46 chordoma-resected neoplasms between 2008 and 2014, along with clinical information, were collected. K-means consensus clustering and principal component analysis were used to identify and validate the clusters. Single-sample gene set enrichment analysis, methylCIBERSORT algorithm, and copy number analysis were used to identify the characteristics of the clusters. Results: Unsupervised clustering analysis confirmed two clusters with a progression-free survival difference. Gene set enrichment analysis indicated that the early and late estrogen response pathways and the hypoxia pathway were activated whereas the inflammatory and interferon gamma responses were suppressed. Forty-six potential therapeutic targets corresponding to differentially methylated sites were identified from chordoma patients. Subgroups with a worse outcome were characterized by low immune cell infiltration, higher tumor purity, and higher stemness indices. Moreover, copy number amplifications mostly occurred in cluster 1 tumors and the high-risk group. Additionally, the presence of a CCNE1 deletion was exclusively found in the group of chordoma patients with better outcome, whereas RB1 and CDKN2A/2B deletions were mainly found in the group of chordoma patients with worse outcome. Conclusions: Chordoma prognostic epigenetic subtypes were identified, and their corresponding characteristics were found to be variable.
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