Mathematical modelling of breast cancer cells in response to endocrine therapy and Cdk4/6 inhibition.

ABSTRACT: Oestrogen receptor (ER)-positive breast cancer is responsive to a number of targeted therapies used clinically. Unfortunately, the continuous application of any targeted therapy often results in resistance to the therapy. Our ultimate goal is to use mathematical modelling to optimize alternating therapies that not only decrease proliferation but also stave off resistance. Toward this end, we measured levels of key proteins and proliferation over a 7-day time course in ER+ MCF-7 breast cancer cells. Treatments included endocrine therapy, either oestrogen deprivation, which mimics the effects of an aromatase inhibitor, or fulvestrant, an ER degrader. These data were used to calibrate a mathematical model based on key interactions between ER signalling and the cell cycle. We show that the cal

SUBMITTER: He W 

PROVIDER: S-EPMC7482571 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature