Modeling cancer evolution: integrating theory with experiment
Modeling cancer evolution: integrating theory with experiment
- Datum: 15.06.2020
- Uhrzeit: 16:30 - 17:30
- Vortragende(r): Dr. Christopher McFarland, Stanford University, CA, USA
- please see https://profiles.stanford.edu/christopher-mcfarland
- Ort: virtual platform
- Gastgeber: Paul Rainey
Tumor
progression is a stochastic, evolutionary processes. Understanding
cancer's evolutionary dynamics is critical to deciphering cancer
genomes, and to developing robust therapeutic strategies. In this talk, I
will interrogate three outstanding questions in the field: why do
non-adaptive passenger mutations accumulate in conserved regions of the
human genome, what are
the fitness effects of drivers and can their rare occurrence explain
why most tumors fail to progress to cancer, and to what extend does
epistasis constrain tumor progression? The answers to all of these
questions are addressed by integrating theoretical modeling, statistical
genomics, and *in vivo *experimentation. I will also discuss future
efforts to more quantitatively model and measure the spatio-temporal
dynamics of competing clones within a mouse tumor. If you are interested in participating, please contact Britta Baron for link and password, baron@evolbio.mpg.de.