Evolutionarily informed therapies in recurrent ovarian cancer

Project summary

Ovarian cancer is an ecologically and evolutionarily dynamic system. Critical barriers to improving outcomes for these patients lies in our evolutionarily static treatment approaches and our lack of preclinical models that can recapitulate the complex biology of this disease. This project will model tumor adaption and evolution of resistance to promising targeted therapy combinations at the cellular and protein level in a unique, preclinical platform including microtumor explants and patient-derived xenografts. Finding will help generate a mathematical model to help predict an optimal sequence of therapeutic attacks to maximize chances for tumor extinction.

This grant was made possible in part by generous donations i****n loving memory of Jennifer Lee; and The Wasily Family Foundation.