Tumor resection in glioblastoma mouse models: Surgical techniques and translational potential

Julie Van Nieuwenhuyze1, Aaron Ziani Zeryouh1, Stéphanie De Vleeschauwer2

  • 1Laboratory of Tumor Immunology and Immunotherapy, Department of Oncology, Leuven Cancer Institute, KU Leuven, Belgium.

Insights

Surgical resection in mouse models of glioblastoma (GBM) is crucial but underrepresented. This review evaluates mouse GBM resection techniques, finding that while feasible, standardization is needed to improve preclinical study relevance.

Area of Science:

  • Oncology
  • Neurosurgery
  • Preclinical Research

Background:

  • Surgical resection is vital for human glioblastoma (GBM) treatment.
  • Preclinical GBM studies using mouse models often lack robust surgical resection methods.
  • This gap limits the translational relevance of animal research.

Purpose of the Study:

  • To review and evaluate current surgical resection techniques in mouse GBM models.
  • To assess the feasibility, reproducibility, and translational relevance of these methods.
  • To highlight the importance of implementing standardized resection in preclinical GBM research.

Main Methods:

  • A narrative review of 27 eligible studies on mouse GBM resection.
  • Categorization of techniques: non-guided biopsy punch, non-guided freehand, fluorescence-guided freehand, and MRI-guided approaches.
  • Evaluation of each method's precision, adaptability, cost, and potential biases.

Main Results:

  • Non-guided techniques are common but lack precision.
  • Fluorescence-guided resection enhances visualization but has limitations.
  • MRI-guided approaches are rare and not truly intraoperative.
  • Despite challenges, GBM surgical resection in mice is feasible with available techniques.

Conclusions:

  • Standardizing surgical resection in preclinical GBM studies is essential.
  • Improved mouse models mimicking human GBM resection will enhance predictive value.
  • Further development and adoption of precise resection techniques are recommended.

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