Your browser doesn't support javascript.
loading
Characterization and comparison of human glioblastoma models.
Schulz, Julia A; Rodgers, Louis T; Kryscio, Richard J; Hartz, Anika M S; Bauer, Björn.
Afiliación
  • Schulz JA; Department of Pharmaceutical Sciences, College of Pharmacy University of Kentucky, Lexington, KY, USA.
  • Rodgers LT; Department of Pharmaceutical Sciences, College of Pharmacy University of Kentucky, Lexington, KY, USA.
  • Kryscio RJ; Sanders-Brown Center on Aging, University of Kentucky, Lexington, USA.
  • Hartz AMS; Statistics, College of Arts and Sciences, University of Kentucky, Lexington, KY, USA.
  • Bauer B; Sanders-Brown Center on Aging, University of Kentucky, Lexington, USA.
BMC Cancer ; 22(1): 844, 2022 Aug 03.
Article en En | MEDLINE | ID: mdl-35922758
ABSTRACT
Glioblastoma (GBM) is one of the deadliest cancers. Treatment options are limited, and median patient survival is only several months. Translation of new therapies is hindered by a lack of GBM models that fully recapitulate disease heterogeneity. Here, we characterize two human GBM models (U87-luc2, U251-RedFLuc). In vitro, both cell lines express similar levels of luciferase and show comparable sensitivity to temozolomide and lapatinib exposure. In vivo, however, the two GBM models recapitulate different aspects of the disease. U87-luc2 cells quickly grow into large, well-demarcated tumors; U251-RedFLuc cells form small, highly invasive tumors. Using a new method to assess GBM invasiveness based on detecting tumor-specific anti-luciferase staining in brain slices, we found that U251-RedFLuc cells are more invasive than U87-luc2 cells. Lastly, we determined expression levels of ABC transporters in both models. Our findings indicate that U87-luc2 and U251-RedFLuc GBM models recapitulate different aspects of GBM heterogeneity that need to be considered in preclinical research.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: BMC Cancer Asunto de la revista: NEOPLASIAS Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos