Functional evaluation of therapeutic response for a mouse model of medulloblastoma

Aislynn K Samano1, Sachiko Ohshima-Hosoyama, Thomas G Whitney

  • 1Greehey Children's Cancer Research Institute, University of Texas Health Science Center, 8403 Floyd Curl Drive, MC7784, San Antonio, TX 78229-3900, USA.

Transgenic Research
|January 29, 2010
PubMed

Insights

Stride length analysis effectively detects medulloblastoma progression in mice. This sensitive, cost-effective assay aids in evaluating new brain tumor therapies.

Area of Science:

  • Neuro-oncology
  • Developmental biology
  • Translational research

Background:

  • Medulloblastoma is an aggressive childhood brain tumor.
  • A Patched1 conditional knockout mouse model mimics human medulloblastoma.
  • Neuromotor deficits are key symptoms in this model.

Purpose of the Study:

  • Identify the most sensitive and cost-effective assay for neuromotor deficits in a medulloblastoma mouse model.
  • Evaluate therapeutic response using behavioral and imaging biomarkers.
  • Assess the utility of stride length analysis for preclinical drug screening.

Main Methods:

  • Utilized a Patched1 conditional knockout mouse model of medulloblastoma.
  • Performed quantitative behavioral assays: rotarod, forced air challenge, screen inversion, horizontal wire test, and stride length analysis.
  • Employed magnetic resonance imaging (MRI) for tumor monitoring and cerebellar volume assessment.
  • Administered Bortezomib treatment and assessed therapeutic effects.

Main Results:

  • Stride length analysis detected significant differences between tumor-prone and wild-type mice by postnatal day 37 (P=0.003).
  • Significant differences in stride length were observed between Bortezomib-treated and control mice by postnatal day 42 (P=0.020).
  • MRI-measured cerebellar volumes confirmed therapeutic effects (P=0.03).

Conclusions:

  • Stride length analysis is a sensitive and cost-effective method for assessing neuromotor deficits in preclinical brain tumor models.
  • This assay can aid in the early detection of disease progression and therapeutic response.
  • Findings support the use of stride length analysis in evaluating novel therapeutic compounds for brain tumors.

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