Brain Tumor Models to Predict Clinical Outcome: Like the Phoenix
Small animal models have given great insight into tumor biology, but have been less successful at predicting clinical outcome. It is expected that newer models will be more predictive because they are better tumor mimics. Unfortunately, other impediments to clinical prediction remain, as reviewed in this chapter. Given these limits, plus advances in other approaches, how can small animal models best be exploited for developing new tumor therapies? Suggestions include focus on targets that are shared by many different tumors, and use of small animal models to reveal broad principles or answer specific questions, rather than aiming for rodent cures.
- Patch-Clamp and Single-Cell Reverse TranscriptionPolymerase Chain Reaction/Microarray Analysis
- Large-Scale Protein Phosphorylation Analysis by Mass Spectrometry-Based Phosphoproteomics
- Neurobiotin Electroporation for Combined Structural and Functional Analysis of Neurons in Developing Mouse Brain Slices
- Voltage-Sensitive Dye Imaging of Cortical Dynamics
- Intracranial Pressure Assessment
- 3-Nitropropionic Acid Model of Metabolic Stress: Assessment by Magnetic Resonance Imaging
- A 6-Hydroxydopamine In Vivo Model of Parkinsons Disease
- Molecular Modeling of Neuropeptides
- Induction of Nitric Oxide Synthase-2 Expression and Measurement of Nitric Oxide Production in Enriched Primary Cortical Astrocyt
- Neural Induction with a Dopaminergic Phenotype from Human Pluripotent Stem Cells Through a Feeder-Free Floating Aggregation Cult