A cellular time machine to identify temporary cell states that enable therapy resistance in glioblastoma

Project summary

Recent findings indicate that resistance to therapy in cancer, can arise from non-genetic, temporary fluctuations in the identity of cells. These are difficult to identify as they exist only briefly and disappear after therapy. To address the constraints hindering the identification of temporary states in cancer, we employ an innovative system that facilitates the tracing of cell states back in time, providing a means to uncover and understand the dynamic aspects relevant for therapy escape.

The ultimate goal is to target these temporary resistant states with modifiers, mitigating treatment escape, and thereby enhancing therapy response, ultimately improving patient survival.