Development, validation, and utility of a clinically applicable methylation classifier for recurrence risk prediction in meningiomas

Abstract excerpt

<title>Abstract</title> <p> Meningiomas are common intracranial tumors with complex behavior that can be difficult to predict. Historically, morphology has been used to predict tumor aggressiveness and risk of recurrence, but this strategy has limitations as a prognostic tool. DNA methylation, transcriptomics, and copy number data are valuable for identifying groups of tumors with distinct biological signatures,...

Topics

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• Data Analysis
• DNA Methylation
• Drug Discovery
• Meningioma
• Meningioma and schwannoma management
• Proteogenomics
• Reproducibility of Results
• RNA-Seq

Identifiers and source

Literature Corpus work

c337e139-d64c-5977-b723-0a09f5ea337d

DOI

10.21203/rs.3.rs-7070532/v1