ArticleInterface focus2014
Game theory in the death galaxy: interaction of cancer and stromal cells in tumour microenvironment.
Article in Interface focus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- A novel combination therapy for ER+ breast cancer suppresses drug resistance via an evolutionary double-bind.Molecular systems biology · 2026Article
- The effect of the fitness gradient on fixation probability.Nature communications · 2026Article
- The role of evolutionary game theory in spatial and non-spatial models of the survival of cooperation in cancer: a review.Journal of the Royal Society, Interface · 2022Review
- The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.Dynamic games and applications · 2022Review
- Dynamic Phenotypic Switching and Group Behavior Help Non-Small Cell Lung Cancer Cells Evade Chemotherapy.Biomolecules · 2021Article
- Cancer immunoediting: A game theoretical approach.In silico biology · 2021Article
- Optimizing adaptive cancer therapy: dynamic programming and evolutionary game theory.Proceedings. Biological sciences · 2020Article
- Cancer dormancy and criticality from a game theory perspective.Cancer convergence · 2018Article
- Convergence Science Arrives: How Does It Relate to Psychiatry?Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2017Article
- Oxygen-Driven Tumour Growth Model: A Pathology-Relevant Mathematical Approach.PLoS computational biology · 2015Article
- Evolutionary game theory for physical and biological scientists. I. Training and validating population dynamics equations.Interface focus · 2014Review
- Article
- How Should Cancer Models Be Constructed?Cancer control : journal of the Moffitt Cancer CenterReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.