Dresden 2020 – scientific programme
The DPG Spring Meeting in Dresden had to be cancelled! Read more ...
Parts | Days | Selection | Search | Updates | Downloads | Help
BP: Fachverband Biologische Physik
BP 8: Poster I
BP 8.19: Poster
Monday, March 16, 2020, 17:30–19:30, P2/1OG
Challenging the cancer stem cell hypothesis: Markov model-based evaluation of Glioblastoma cell plasticity — Thomas Buder1, Andreas Deutsch2, and •Anja Voss-Böhme1 — 1University of Applied Sciences Dresden — 2TU Dresden
For glioblastoma (GBM) and other cancers, intra-tumoral phenotypic heterogeneity has been proposed to rely on cancer stem cells (CSC) postulated to reside at the apex of a hierarchical organization and to sustain tumor progression and heterogeneity by generating differentiated progeny. Analyzing flow cytometry data of glioblastoma multiforme cell lines under normaxia and hypoxia with the help of stochastic Markov process models, we show that GBM phenotypic heterogeneity arises from non-hierarchical, reversible state transitions, instructed by the microenvironment and predictable by mathematical modeling. We introduce a method for automated parameter estimation and prognosis from time-course cell proportion data which supports the analysis of the hierachical pattern underlying the transition structure. This method is implemented in a freely available R package, Cell Trans.
(1) A. Dirkse, A. Golebiewska et al. Nature Comm. (2019).
(2) T. Buder et al. Front. Onc.(2019).
(3) T.Buder et al. Bioinformatics and Biology Insights (2017).