A novel technique of serial biopsy in mouse brain tumour models

Sasha Rogers1,2,3, Hilary Hii1,2, Joel Huang1

  • 1Telethon Kids Institute, Perth, WA, Australia.

Plos One
|April 11, 2017
PubMed

Insights

Serial biopsy in a mouse glioblastoma model allows for in vivo validation of targeted therapies like dacomitinib. This minimally invasive technique enables precise assessment of drug response, accelerating preclinical research for brain tumors.

Area of Science:

  • Neuro-oncology
  • Surgical Innovation
  • Pharmacodynamics

Background:

  • Brain tumor biopsies are crucial for tailoring treatments.
  • Dacomitinib, a tyrosine kinase inhibitor (TKI), targets EGFR, ERBB2, and ERBB4, showing efficacy in cancers with aberrant activity of these targets.
  • Preclinical models are essential for evaluating novel therapeutic strategies.

Purpose of the Study:

  • To establish and validate a serial brain biopsy technique in a mouse glioblastoma model.
  • To assess the feasibility and minimal morbidity of serial biopsies in vivo.
  • To evaluate the utility of serial biopsies in determining response to dacomitinib treatment.

Main Methods:

  • An orthotopic glioblastoma model was established using U87MG cells expressing EGFRvIII, GFP, and luciferase in immunodeficient mice.
  • Tumor growth was monitored via bioluminescence imaging.
  • Free-hand serial biopsies were performed, and animal well-being was assessed using a neurological severity score (NSS).

Main Results:

  • Serial brain biopsies were successfully performed with minimal morbidity and rapid recovery in mice.
  • The biopsy samples retained histological integrity and were suitable for analysis.
  • The technique allowed for the evaluation of dacomitinib-mediated inhibition of EGFRvIII.

Conclusions:

  • Serial brain biopsy is a feasible and valuable technique for preclinical assessment of targeted therapies in glioblastoma models.
  • This methodology can accelerate the drug screening process by enabling in vivo validation of treatment response.
  • The approach holds promise for application in other brain tumor models, advancing neuro-oncology research.

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