Validation Study: Response-Predictive Gene Expression Profiling of Glioma Progenitor Cells In Vitro.

ABSTRACT:

Background

In a previous publication we introduced a novel approach to identify genes that hold predictive information about treatment outcome. A linear regression model was fitted by using the least angle regression algorithm (LARS) with the expression profiles of a construction set of 18 glioma progenitor cells enhanced for brain tumor initiating cells (BTIC) before and after in vitro treatment with the tyrosine kinase inhibitor Sunitinib. Profiles from treated progenitor cells allowed predicting therapy-induced impairment of proliferation in vitro. Prediction performance was validated in leave one out cross validation.

Methods

In this study, we used an additional validation set of 18 serum-free short-term treated in vitro cell cultures to test the predictive properties of

SUBMITTER: Moeckel S 

PROVIDER: S-EPMC4792439 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature