Data from Genomic and Phenotypic Characterization of a Broad Panel of Patient-Derived Xenografts Reflects the Diversity of Glioblastoma

Abstract

<div>AbstractPurpose:<p>Glioblastoma is the most frequent and lethal primary brain tumor. Development of novel therapies relies on the availability of relevant preclinical models. We have established a panel of 96 glioblastoma patient-derived xenografts (PDX) and undertaken its genomic and phenotypic characterization.</p>Experimental Design:<p>PDXs were established from glioblastoma, IDH-wildtype (<i>n</i> = 93), glioblastoma, IDH-mutant (<i>n</i> = 2), diffuse midline glioma, H3 K27M-mutant (<i>n</i> = 1), and both primary (<i>n</i> = 60) and recurrent (<i>n</i> = 34) tumors. Tumor growth rates, histopathology, and treatment response were characterized. Integrated molecular profiling was performed by whole-exome sequencing (WES, <i>n</i> = 83), RNA-sequencing (<i>n</i> = 68), and genome-wide methylation profiling (<i>n</i> = 76). WES data from 24 patient tumors was compared with derivative models.</p>Results:<p>PDXs recapitulate many key phenotypic and molecular features of patient tumors. Orthotopic PDXs show characteristic tumor morphology and invasion patterns, but largely lack microvascular proliferation and necrosis. PDXs capture common and rare molecular drivers, including alterations of <i>TERT, EGFR, PTEN, TP53, BRAF</i>, and <i>IDH1</i>, most at frequencies comparable with human glioblastoma. However, <i>PDGFRA</i> amplification was absent. RNA-sequencing and genome-wide methylation profiling demonstrated broad representation of glioblastoma molecular subtypes. <i>MGMT</i> promoter methylation correlated with increased survival in response to temozolomide. WES of 24 matched patient tumors showed preservation of most genetic driver alterations, including <i>EGFR</i> amplification. However, in four patient–PDX pairs, driver alterations were gained or lost on engraftment, consistent with clonal selection.</p>Conclusions:<p>Our PDX panel captures the molecular heterogeneity of glioblastoma and recapitulates many salient genetic and phenotypic features. All models and genomic data are openly available to investigators.</p></div>