Clinically relevant glioblastoma patient-derived xenograft models to guide drug development and identify molecular
Joshua Alcaniz1, Lars Winkler1, Mathias Dahlmann1
1Experimental Pharmacology and Oncology GmbH, Berlin, Germany.
Abstract:
Glioblastoma (GBM) heterogeneity, aggressiveness and infiltrative growth drastically limit success of current standard of care drugs and efficacy of various new therapeutic approaches. There is a need for new therapies and models reflecting the complex biology of these tumors to analyze the molecular mechanisms of tumor formation and resistance, as well as to identify new therapeutic targets. We established and screened a panel of 26 patient-derived subcutaneous (s.c.) xenograft (PDX) GBM models on immunodeficient mice, of which 15 were also established as orthotopic models. Sensitivity toward a drug panel, selected for their different modes of action, was determined. Best treatment responses were observed for standard of care temozolomide, irinotecan and bevacizumab. Matching orthotopic models frequently show reduced sensitivity, as the blood-brain barrier limits crossing of the drugs to the GBM. Molecular characterization of 23 PDX identified all of them as IDH-wt (R132) with frequent mutations in EGFR, TP53, FAT1, and within the PI3K/Akt/mTOR pathway. Their expression profiles resemble proposed molecular GBM subtypes mesenchymal, proneural and classical, with pronounced clustering for gene sets related to angiogenesis and MAPK signaling. Subsequent gene set enrichment analysis identified hallmark gene sets of hypoxia and mTORC1 signaling as enriched in temozolomide resistant PDX. In models sensitive for mTOR inhibitor everolimus, hypoxia-related gene sets reactive oxygen species pathway and angiogenesis were enriched. Our results highlight how our platform of s.c. GBM PDX can reflect the complex, heterogeneous biology of GBM. Combined with transcriptome analyses, it is a valuable tool in identification of molecular signatures correlating with monitored responses. Available matching orthotopic PDX models can be used to assess the impact of the tumor microenvironment and blood-brain barrier on efficacy. Our GBM PDX panel therefore represents a valuable platform for screening regarding molecular markers and pharmacologically active drugs, as well as optimizing delivery of active drugs to the tumor.
Insights
Glioblastoma (GBM) patient-derived xenografts (PDX) models reveal drug resistance mechanisms. This GBM PDX platform aids in identifying molecular markers and optimizing therapies for aggressive brain tumors.
Area of Science:
- Neuro-oncology
- Cancer Biology
- Pharmacology
Background:
- Glioblastoma (GBM) is characterized by heterogeneity and aggressive growth, limiting treatment efficacy.
- New therapeutic strategies and models are needed to understand GBM biology and identify novel targets.
- Patient-derived xenografts (PDX) offer a valuable preclinical model for studying complex tumors.
Purpose of the Study:
- To establish and characterize a panel of patient-derived xenograft (PDX) models of glioblastoma (GBM).
- To evaluate the drug sensitivity of these models and identify molecular correlates of response and resistance.
- To assess the utility of subcutaneous (s.c.) and orthotopic PDX models for preclinical drug screening.
Main Methods:
- Established 26 subcutaneous (s.c.) and 15 orthotopic GBM PDX models in immunodeficient mice.
- Screened PDX models for sensitivity to a panel of drugs with diverse mechanisms of action.
- Performed molecular characterization, including mutational analysis and transcriptome profiling, of PDX models.
Main Results:
- Subcutaneous GBM PDX models showed sensitivity to temozolomide, irinotecan, and bevacizumab.
- Orthotopic models often exhibited reduced drug sensitivity due to the blood-brain barrier.
- Molecular profiling revealed frequent mutations in EGFR, TP53, FAT1, and the PI3K/Akt/mTOR pathway; expression profiles matched known GBM subtypes.
- Hypoxia and mTORC1 signaling gene sets were enriched in temozolomide-resistant PDX models.
Conclusions:
- The GBM PDX platform, particularly s.c. models, effectively reflects GBM's complex biology and heterogeneity.
- Transcriptome analysis combined with PDX models is crucial for identifying molecular signatures associated with drug responses.
- Orthotopic PDX models are valuable for assessing the impact of the tumor microenvironment and blood-brain barrier on drug efficacy.
- The established GBM PDX panel serves as a robust platform for screening molecular markers, drugs, and optimizing drug delivery.
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