Ontology highlight
ABSTRACT: Background
Drug resistance, characterized by high heterogeneity and complex mechanisms, poses a significant challenge in cancer treatment. Stratifying resistant tumors into biologically and clinically meaningful subgroups can improve prognostic evaluation and help guide treatment decisions. However, the DNA methylation-based subtypes of resistant tumors have not yet been comprehensively characterized.Results
DNA methylation profiles from resistant tumors were retrieved from public database including TCGA and GEO. For each tumor type resistant to a specific treatment drug, consensus clustering based on the most variable methylated probes was conducted to identify the DNA methylation subtypes of resistant tumors. For low-grade glioma (LGG) resistant to Temozolomide, consensus
SUBMITTER: Hou F
PROVIDER: S-EPMC12933914 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature