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Novel method for visualizing and modeling the spatial distribution of neural stem cells within intracranial glioma.

Abstract
Neural stem cells (NSCs) hold great promise for glioma therapy due to their inherent tumor-tropic properties, enabling them to deliver therapeutic agents directly to invasive tumor sites. In the present study, we visualized and quantitatively analyzed the spatial distribution of tumor-tropic NSCs in a mouse model of orthotopic glioma in order to predict the therapeutic efficacy of a representative NSC-based glioma therapy. U251.eGFP human glioma was established in the brain of athymic mice, followed by stereotactic injection of CM-DiI-labeled human NSCs posterior-lateral to the tumor site. Confocal microscopy, three-dimensional modeling and mathematical algorithms were used to visualize and characterize the spatial distribution of NSCs throughout the tumor. The pattern of NSC distribution showed a gradient with higher densities toward the centroid of the tumor mass. We estimate that NSC-mediated therapy would eradicate 70-90% of the primary tumor mass and the majority of invasive tumor foci. Our method may serve as a model for optimizing the efficacy of NSC-based glioma therapy.
AuthorsDavid Lin, Joseph Najbauer, Paul M Salvaterra, Adam N Mamelak, Michael E Barish, Elizabeth Garcia, Marianne Z Metz, Stephen E Kendall, Marisa Bowers, Babak Kateb, Seung U Kim, Margaret Johnson, Karen S Aboody
JournalNeuroImage (Neuroimage) Vol. 37 Suppl 1 Pg. S18-26 ( 2007) ISSN: 1053-8119 [Print] United States
PMID17560798 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Green Fluorescent Proteins
Topics
  • Algorithms
  • Brain Neoplasms (genetics, pathology, therapy)
  • Cell Line, Tumor
  • Gene Transfer Techniques
  • Glioma (genetics, pathology, therapy)
  • Green Fluorescent Proteins
  • Humans
  • Image Processing, Computer-Assisted
  • Microscopy, Confocal
  • Models, Neurological
  • Neurons (pathology)
  • Stem Cell Transplantation
  • Stem Cells (physiology)

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