Phase I study of a novel glioblastoma radiation therapy schedule exploiting cell-state plasticity.

ABSTRACT:

Background

Glioblastomas comprise heterogeneous cell populations with dynamic, bidirectional plasticity between treatment-resistant stem-like and treatment-sensitive differentiated states, with treatment influencing this process. However, current treatment protocols do not account for this plasticity. Previously, we generated a mathematical model based on preclinical experiments to describe this process and optimize a radiation therapy fractionation schedule that substantially increased survival relative to standard fractionation in a murine glioblastoma model.

Methods

We developed statistical models to predict the survival benefit of interventions to glioblastoma patients based on the corresponding survival benefit in the mouse model used in our preclinical study. We applie

SUBMITTER: Dean JA 

PROVIDER: S-EPMC10237407 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature