Adaptive therapy is a dynamic cancer treatment protocol that updates (or 'adapts') treatment
decisions in anticipation of evolving tumor dynamics. This broad term encompasses many …

Evolutionary game theory mathematically conceptualizes and analyzes biological
interactions where one's fitness not only depends on one's own traits, but also on the traits of …

Characterizing the mode—the way, manner or pattern—of evolution in tumours is important
for clinical forecasting and optimizing cancer treatment. Sequencing studies have inferred …

We present a game-theoretic model of a polymorphic cancer cell population where the
treatment-induced resistance is a quantitative evolving trait. When stabilization of the tumor …

Abstract The Lotka–Volterra model is widely used to model interactions between two
species. Here, we generate synthetic data mimicking competitive, mutualistic and …

Physiological processes rely on the control of cell proliferation, and the dysregulation of
these processes underlies various pathological conditions, including cancer. Mathematical …

Ethnopharmacological relevance Fufang E'jiao Jiang (FEJ) is a prominent traditional
Chinese medicine prescription, which consists of Asini Corii Colla (Donkey-hide gelatin …

Tumors consist of different genotypically distinct subpopulations—or subclones—of cells.
These subclones can influence neighboring clones in a process called “clonal interaction.” …

Mathematical modeling plays an important role in our understanding and targeting therapy
resistance mechanisms in cancer. The polymorphic Gompertzian model, analyzed …

Evolutionary game theory has been highly valuable in studying frequency-dependent
selection and growth between competing cancer phenotypes. We study the connection …