Die DPG-Frühjahrstagung in Dresden musste abgesagt werden! Lesen Sie mehr ...
Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe
BP: Fachverband Biologische Physik
BP 37: Systems Biology, Evolution and Neural Networks I
BP 37.5: Vortrag
Donnerstag, 19. März 2020, 16:30–16:45, ZEU 250
Collective dynamics shape drug resistance evolution in dense cellular populations — •Jona Kayser1,2, Carl Schreck3, and Oskar Hallatschek3 — 1Max-Planck-Institute for the Science of Light, Erlangen — 2Zentrum für Physik und Medizin, Erlangen — 3University of California, Berkeley
The principle factor limiting curative cancer treatment is the evolution of drug resistance. Recent work has yielded substantial progress in our understanding of the molecular and biochemical mechanisms of resistance while studies of well-mixed microbial cultures have shed light on the ensuing evolutionary dynamics in disperse populations. Yet, how the mechanical interactions between cells in dense populations, including solid tutors, shape evolutionary trajectories is not well understood.
Here, using a genetically tailored model system of neoplastic growth, based on microbial colonies, I show that the physical cell-cell interaction inherent to dense cellular populations can induce collective phenomena that reshape evolutionary outcomes and may boost drug resistance evolution. In addition, I present new results advocating for an intricate interplay between such an emergent mechano-cooperation and multi-step adaptation. The uncovered mechanisms lay the foundation for a new conceptual framework of intratumoral evolutionary dynamic as an emergent phenomenon, which might crucially inform novel treatment strategies, such as adaptive therapy.