Localized Metabolomic Gradients in Patient-Derived Xenograft Models of Glioblastoma.

ABSTRACT: Glioblastoma (GBM) is increasingly recognized as a disease involving dysfunctional cellular metabolism. GBMs are known to be complex heterogeneous systems containing multiple distinct cell populations and are supported by an aberrant network of blood vessels. A better understanding of GBM metabolism, its variation with respect to the tumor microenvironment, and resulting regional changes in chemical composition is required. This may shed light on the observed heterogeneous drug distribution, which cannot be fully described by limited or uneven disruption of the blood-brain barrier. In this work, we used mass spectrometry imaging (MSI) to map metabolites and lipids in patient-derived xenograft models of GBM. A data analysis workflow revealed that distinctive spectral signatures were detecte

SUBMITTER: Randall EC 

PROVIDER: S-EPMC7073296 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature