Translational validation of personalized treatment strategy based on genetic characteristics of glioblastoma [surgical samples]

ABSTRACT: Glioblastoma (GBM) heterogeneity in the genomic and phenotypic properties has potentiated personalized approach against specific therapeutic targets of each GBM patient. The Cancer Genome Atlas (TCGA) Research Network has been established the comprehensive genomic abnormalities of GBM, which sub-classified GBMs into 4 different molecular subtypes. The molecular subtypes could be utilized to develop personalized treatment strategy for each subtype. We applied a classifying method, NTP (Nearest Template Prediction) method to determine molecular subtype of each GBM patient and corresponding orthotopic xenograft animal model. The models were derived from GBM cells dissociated from patient's surgical sample. Specific drug candidates for each subtype were selected using an integrated pharmacolog

ORGANISM(S): Homo sapiens

SUBMITTER: Young Taek Oh 

PROVIDER: E-GEOD-58399 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress