Large-scale assessment of the gliomasphere model system.

ABSTRACT:

Background

Gliomasphere cultures are widely utilized for the study of glioblastoma (GBM). However, this model system is not well characterized, and the utility of current classification methods is not clear.

Methods

We used 71 gliomasphere cultures from 68 individuals. Using gene expression-based classification, we performed unsupervised clustering and associated gene expression with gliomasphere phenotypes and patient survival.

Results

Some aspects of the gene expression-based classification method were robust because the gliomasphere cultures retained their classification over many passages, and IDH1 mutant gliomaspheres were all proneural. While gene expression of a subset of gliomasphere cultures was more like the parent tumor than any other tumor, gliomaspheres d

SUBMITTER: Laks DR 

PROVIDER: S-EPMC5035518 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature