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A novel technique to quantify glioma tumor invasion using serial microscopy sections.

Abstract
Here we present a new technique to quantitatively characterize malignant glioma invasion in a syngeneic mouse model. The GL261 mouse malignant glioma cell line was injected intracerebrally into the C57B1/6 black mouse and allowed to propagate for 10 or 17 days, followed by euthanasia of the animal, harvesting of the brain, fixation, and serial sectioning. Histologic examination was performed and the primary tumor mass and discontinuous sites of tumor invasion were traced on digital images of serial microscopy sections, followed by analysis of the invasion characteristics using a custom-written MATLAB program. We found a significant increase in the number of discontinuous tumor invasion sites and in the distance of these sites from the tumor centroid in mice that were euthanized at 17 days post-tumor cell injection, as compared to mice euthanized at 10 days. Furthermore, a scatter plot analyses indicated that the invasion site data could be grouped based on the characteristics of area and distance from the tumor centroid to reveal significant differences between the two experimental groups of mice. This quantitative method will allow a future in vivo analysis of invasion characteristics in glioma cells expressing altered levels or function of invasion genes, and of new therapy targeting invading glioma cells.
AuthorsN Shastry Akella, Qiang Ding, Ingrid Menegazzo, Wenquan Wang, G Yancey Gillespie, J Robert Grammer, Candece L Gladson, L Burton Nabors
JournalJournal of neuroscience methods (J Neurosci Methods) Vol. 153 Issue 2 Pg. 183-9 (Jun 15 2006) ISSN: 0165-0270 [Print] Netherlands
PMID16406041 (Publication Type: Comparative Study, Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't)
Topics
  • Animals
  • Brain Neoplasms (pathology)
  • Cell Line, Tumor
  • Diagnostic Imaging (methods)
  • Disease Models, Animal
  • Glioma (pathology)
  • Mice
  • Mice, Inbred C57BL
  • Microscopy (methods)
  • Neoplasm Invasiveness (pathology)
  • Statistics, Nonparametric

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