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ABSTRACT: Background
Although considerable progress has been made in understanding molecular alterations driving gliomagenesis, the diverse metabolic programs contributing to the aggressive phenotype of glioblastoma remain unclear. The aim of this study was to define and provide molecular context to metabolic reprogramming driving gliomagenesis.Methods
Integrative cross-platform analyses coupling global metabolomic profiling with genomics in patient-derived glioma (low-grade astrocytoma [LGA; n = 28] and glioblastoma [n = 80]) were performed. Identified programs were then metabolomically, genomically, and functionally evaluated in preclinical models.Results
Clear metabolic programs were identified differentiating LGA from glioblastoma, with aberrant lipid, peptide, and amino
SUBMITTER: Prabhu AH
PROVIDER: S-EPMC6380409 | biostudies-literature | 2019 Feb
REPOSITORIES: biostudies-literature