3D spatial organization and network-guided comparison of mutation profiles in Glioblastoma reveals similarities across patients.

ABSTRACT: Glioblastoma multiforme (GBM) is the most aggressive type of brain tumor. Molecular heterogeneity is a hallmark of GBM tumors that is a barrier in developing treatment strategies. In this study, we used the nonsynonymous mutations of GBM tumors deposited in The Cancer Genome Atlas (TCGA) and applied a systems level approach based on biophysical characteristics of mutations and their organization in patient-specific subnetworks to reduce inter-patient heterogeneity and to gain potential clinically relevant insights. Approximately 10% of the mutations are located in "patches" which are defined as the set of residues spatially in close proximity that are mutated across multiple patients. Grouping mutations as 3D patches reduces the heterogeneity across patients. There are multiple patches tha

SUBMITTER: Dincer C 

PROVIDER: S-EPMC6782092 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature