| Literature DB >> 25097749 |
Amy Wu1, David Liao2, Thea D Tlsty2, James C Sturm1, Robert H Austin3.
Abstract
Preventing relapse is the major challenge to effective therapy in cancer. Within the tumour, stromal (ST) cells play an important role in cancer progression and the emergence of drug resistance. During cancer treatment, the fitness of cancer cells can be enhanced by ST cells because their molecular signalling interaction delays the drug-induced apoptosis of cancer cells. On the other hand, competition among cancer and ST cells for space or resources should not be ignored. We explore the population dynamics of multiple myeloma (MM) versus bone marrow ST cells by using an experimental microecology that we call the death galaxy, with a stable drug gradient and connected microhabitats. Evolutionary game theory is a quantitative way to capture the frequency-dependent nature of interactive populations. Therefore, we use evolutionary game theory to model the populations in the death galaxy with the gradients of pay-offs and successfully predict the future densities of MM and ST cells. We discuss the possible clinical use of such analysis for predicting cancer progression.Entities:
Keywords: cancer; chemotherapy resistance; game theory; population dynamics; spatial heterogeneity; stroma
Year: 2014 PMID: 25097749 PMCID: PMC4071511 DOI: 10.1098/rsfs.2014.0028
Source DB: PubMed Journal: Interface Focus ISSN: 2042-8898 Impact factor: 3.906