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Dataset Information

An in vivo model of glioblastoma radiation resistance identifies long noncoding RNAs and targetable kinases.


ABSTRACT: Key molecular regulators of acquired radiation resistance in recurrent glioblastoma (GBM) are largely unknown, with a dearth of accurate preclinical models. To address this, we generated 8 GBM patient-derived xenograft (PDX) models of acquired radiation therapy-selected (RTS) resistance compared with same-patient, treatment-naive (radiation-sensitive, unselected; RTU) PDXs. These likely unique models mimic the longitudinal evolution of patient recurrent tumors following serial radiation therapy. Indeed, while whole-exome sequencing showed retention of major genomic alterations in the RTS lines, we did detect a chromosome 12q14 amplification that was associated with clinical GBM recurrence in 2 RTS models. A potentially novel bioinformatics pipeline was applied to analyze phenotypic, transc

SUBMITTER: Stackhouse CT 

PROVIDER: S-EPMC9462495 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature