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.

Frontiers in Oncology
|April 28, 2023
PubMed

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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