Characterizing and quantifying the effects of breast cancer therapy using mathematical modeling.

ABSTRACT: We designed a mathematical model to describe and quantify the mechanisms and dynamics of tumor growth, cell-kill and resistance as they affect durations of benefit after cancer treatment. Our aim was to explore how treatment efficacy may be related to primary tumor characteristics, with the potential to guide future trial design and appropriate selection of therapy. Assuming a log-normal distribution of both resistant disease and tumor doubling times generates disease-free survival (DFS) or invasive DFS curves with specific shapes. Using a multivariate mathematical model, both treatment and tumor characteristics are related to quantified resistant disease and tumor regrowth rates by allowing different mean values for the influence of different treatments or clinical subtypes on these two l

SUBMITTER: Gregory WM 

PROVIDER: S-EPMC4729810 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature