Genomic and phenotypic characterization of a broad panel of patient-derived xenografts reflects the diversity of glioblastoma
Open accessPublished version of a preprint
Abstract
Purpose: 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. Experimental Design: PDXs were established from glioblastoma, IDH-wildtype (n = 93), glioblastoma, IDH-mutant (n = 2), diffuse midline glioma, H3 K27M-mutant (n = 1), and both primary (n = 60) and recurrent (n = 34) tumors. Tumor growth rates, histopathology, and treatment response were characterized. Integrated molecular profiling was performed by whole-exome sequencing (WES, n = 83), RNA-sequencing (n = 68), and genome-wide methylation profiling (n = 76). WES data from 24 patient tumors was compared with derivative models. Results: 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 TERT, EGFR, PTEN, TP53, BRAF, and IDH1, most at frequencies comparable with human glioblastoma. However, PDGFRA amplification was absent. RNA-sequencing and genome-wide methylation profiling demonstrated broad representation of glioblastoma molecular subtypes. MGMT promoter methylation correlated with increased survival in response to temozolomide. WES of 24 matched patient tumors showed preservation of most genetic driver alterations, including EGFR amplification. However, in four patient–PDX pairs, driver alterations were gained or lost on engraftment, consistent with clonal selection. Conclusions: 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.
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References 50 · Cited by 227
- Authors
- Vaubel, R. A., Tian, S., Remonde, D., Schroeder, M. A., Mladek, A. C., Kitange, G. J., Caron, A., Kollmeyer, T. M., Grove, R., Peng, S., Carlson, B. L., Ma, D. J., Sarkar, G., Evers, L., Decker, P. A., Yan, H., Dhruv, H. D., Berens, M. E., Wang, Q., Marin, B. M., Klee, E. W., Califano, A., LaChance, D. H., Eckel-Passow, J. E., Verhaak, R. G., Sulman, E. P., Burns, T. C., Meyer, F. B., O'Neill, B. P., Tran, N. L., Giannini, C., Jenkins, R. B., Parney, I. F., & Sarkaria, J. N.
- Affiliations
- Mayo Clinic (US)
- East Carolina University (US)
- Translational Genomics Research Institute (US)
- Nanjing Medical University (CN)
- Columbia University (US)
- 1Mayo Clinic, Rochester, Minnesota.
- The Jackson Laboratory for Genomic Medicine (US)
- NYU Langone Health (US)
- Mayo Clinic in Arizona (US)
- Corresponding author
- Sarkaria, Jann N.
- ORCID
- Vaubel, Rachael A.
- Tian, Shulan
- Remonde, Dioval
- Schroeder, Mark A.
- Mladek, Ann C.
- Kitange, Gaspar J.
- Kollmeyer, Thomas M.
- Carlson, Brett L.
- Ma, Daniel J.
- Sarkar, Gobinda
- Decker, Paul A.
- Yan, Huihuang
- Dhruv, Harshil D.
- Berens, Michael E.
- Wang, Qianghu
- Marin, Bianca M.
- Klee, Eric W.
- Califano, Andrea
- LaChance, Daniel H.
- Verhaak, Roel G.
- Sulman, Erik P.
- Burns, Terry C.
- Tran, Nhan L.
- Giannini, Caterina
- Jenkins, Robert B.
- Parney, Ian F.
- Sarkaria, Jann N.
- Venue
- Clinical Cancer Research
- Published
- 2020-03-01
- Volume
- 26
- Issue
- 5
- Pages
- 1094-1104
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- PMC
- PMC7056576
- OpenAlex
- W2995968707
- Cited by
- 227
- References
- 50
- Citations by year
- 2026: 34 · 2025: 46 · 2024: 39 · 2023: 45 · 2022: 20 · 2021: 30 · 2020: 13
- FWCI
- 9.20
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Clinical Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- HHS | National Institutes of Health (R35 CA197745, U01 CA217858, P50 CA108961, RO1 CA184320, U01 CA227954, R24 NS092940)
- Accelerate Brain Cancer Cure
- Mayo Clinic
- Alpha Omega Alpha Carolyn L. Kuckein Student Research Fellowship
- Topics
- Health Sciences › Medicine › Genetics › Glioma Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Health Sciences › Medicine › Hematology › Acute Myeloid Leukemia Research
- Keywords
- glioblastoma, patient-derived xenografts, preclinical cancer models, IDH-mutant glioblastoma, recurrent glioblastoma, diffuse midline glioma, H3K27M mutation, tumor molecular subtypes, MGMT promoter methylation, temozolomide response, clonal selection, EGFR amplification, telomerase reverse transcriptase, PTEN, TP53, BRAF, PDGFRA, DNA methylation, tumor heterogeneity, tumor growth and invasion
- MeSH terms
- Exome Sequencing, Temozolomide, Adult, Aged, Aged, 80 and over, Animals, Brain Neoplasms, Female, Genotype, Glioblastoma, Humans, Isocitrate Dehydrogenase, Male, Middle Aged, Mutation, Neoplasm Staging, Phenotype, Promoter Regions, Genetic, Biomarkers, Tumor, DNA Modification Methylases, Survival Rate, Antineoplastic Agents, Alkylating, DNA Methylation, Xenograft Model Antitumor Assays, Tumor Suppressor Proteins, DNA Repair Enzymes, Mice, Young Adult, ErbB Receptors
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