A5056880989- Evolution and Genetic Dynamics
- Evolutionary Game Theory and Cooperation
- Mathematical Biology Tumor Growth
- Evolutionary Algorithms and Applications
- Cancer Genomics and Diagnostics
- Bioinformatics and Genomic Networks
- Metaheuristic Optimization Algorithms Research
- Experimental Behavioral Economics Studies
- Game Theory and Applications
- Evolutionary Psychology and Human Behavior
- Mathematical and Theoretical Epidemiology and Ecology Models
- Microtubule and mitosis dynamics
- Opinion Dynamics and Social Influence
- Cancer, Hypoxia, and Metabolism
- Machine Learning and Algorithms
- Optimization and Search Problems
- semigroups and automata theory
- Constraint Satisfaction and Optimization
- Prostate Cancer Treatment and Research
- graph theory and CDMA systems
- Gene Regulatory Network Analysis
- Plant and animal studies
- Cognitive Science and Mapping
- Virus-based gene therapy research
- Language Development and Disorders
Utrecht University
2023-2025
University of Pennsylvania
2020-2022
University of Oxford
2013-2021
Cleveland Clinic
2017-2020
Moffitt Cancer Center
2013-2017
McGill University
2010-2015
In this study, we experimentally measure the frequency-dependent interactions between a gefitinib-resistant non–small cell lung cancer population and its sensitive ancestor via evolutionary game assay. We show that cost of resistance is insufficient to accurately predict competitive exclusion growth rate measurements are required. Using data, then gefitinib treatment results in ancestor, while absence likely, but not guaranteed, resistant strain. Then, using simulations, demonstrate...
Experiments show that evolutionary fitness landscapes can have a rich combinatorial structure due to epistasis. For some landscapes, this produce computational constraint prevents evolution from finding local optima-thus overturning the traditional assumption peaks always be reached quickly if no other forces challenge natural selection. Here, I introduce distinction between easy of theory where found in moderate number steps, and hard optima requires an infeasible amount time. Hard examples...
Tumours are diverse ecosystems with persistent heterogeneity in various cancer hallmarks like self-sufficiency of growth factor production for angiogenesis and reprogramming energy metabolism aerobic glycolysis. This has consequences diagnosis, treatment disease progression.We introduce the double goods game to study dynamics these traits using evolutionary theory. We model glycolytic acid as a public good all tumour cells oxygen from vascularisation via vascular endothelial club benefiting...
Mathematical modeling plays an important role in our understanding and targeting therapy resistance mechanisms cancer. The polymorphic Gompertzian model, analyzed theoretically numerically by Viossat Noble to demonstrate the benefits of adaptive metastatic cancer, describes a heterogeneous cancer population consisting therapy-sensitive therapy-resistant cells. In this study, we that model successfully captures trends both vitro vivo data on non-small cell lung (NSCLC) dynamics under...
Recent agent-based computer simulations suggest that ethnocentrism, often thought to rely on complex social cognition and learning, may have arisen through biological evolution. From a random start, ethnocentric strategies dominate other possible (selfish, traitorous, humanitarian) based cooperation or non-cooperation with in-group out-group agents. Here we show ethnocentrism eventually overcomes its closest competitor, humanitarianism, by exploiting humanitarian across group boundaries as...
Cancer dynamics are an evolutionary game between cellular phenotypes. A typical assumption in this modelling paradigm is that the probability of a given phenotypic strategy interacting with another depends exclusively on abundance those strategies without regard for local neighbourhood structure. We address limitation by using Ohtsuki–Nowak transform to introduce spatial structure go versus grow game. show can promote invasive (go) strategy. By considering change size at static boundary—such...
Evolutionary game theory (EGT) was born from economic through a series of analogies. Given this heuristic genealogy, number central objects the (like strategies, players, and games) have not been carefully defined or interpreted. A specific interpretation these terms becomes important as EGT sees more applications to understanding experiments in microscopic systems typical oncology microbiology. In essay, I provide two interpretations games theory: one that leads reductive other effective...
Abstract Evolutionary game theory mathematically conceptualizes and analyzes biological interactions where one’s fitness not only depends on own traits, but also the traits of others. Typically, individuals are overtly rational do select, rather inherit their traits. Cancer can be framed as such an evolutionary game, it is composed cells heterogeneous types undergoing frequency-dependent selection. In this article, we first summarize existing works has been employed in modeling cancer...
Natural selection enriches genotypes that are well-adapted to their environment. Over successive generations, these changes the frequencies of types accumulate information about selective conditions. Thus, we can think as an algorithm by which populations acquire Kimura (1961) pointed out every bit population gains this way comes with a minimum cost in terms unrealized fitness (substitution load). Due gradual nature and ongoing mismatch environment, is still gaining environment has lower...
Abstract Advances in genetic engineering have made it possible to reprogram individual immune cells express receptors that recognise markers on tumour cell surfaces. The process of re-engineering T lymphocytes Chimeric Antigen Receptors (CARs), and then re-infusing the CAR-modified into patients treat various cancers is referred as CAR therapy. This therapy being explored clinical trials - most prominently for B Cell Acute Lymphoblastic Leukaemia (B-ALL), a common malignancy, which has led...
Prostate cancer to bone metastases are almost always lethal. This results from the ability of metastatic prostate cells co-opt remodeling, leading what is known as vicious cycle. Understanding how tumor can disrupt homeostasis through their interactions with stroma and tumors respond treatment key development new treatments for remains an incurable disease. Here we describe evolutionary game theoretical model both homeostatic remodeling its co-option by metastases. extends past aspects...
ABSTRACT Therapeutic strategies for tumor control have traditionally assumed that maximizing reduction in volume correlates with clinical efficacy. Unfortunately, this rapid decrease burden is almost invariably followed by the emergence of therapeutic resistance. Evolutionary based treatment attempt to delay resistance via judicious treatments maintain a significant treatable subpopulation. While these shown promise recent trials, they often rely on biological conjecture and intuition derive...
Abstract Mathematical modeling plays an important role in our understanding and targeting therapy resistance mechanisms cancer. The polymorphic Gompertzian model, analyzed theoretically by Viossat Noble, describes a heterogeneous cancer population consisting of sensitive resistant cells. This promising model has not previously been validated with real-world data. In this study, we provide validation. We demonstrate that the successfully captures trends both vitro vivo data on non-small cell...
Heterogeneity in strategies for survival and proliferation among the cells which constitute a tumour is driving force behind evolution of resistance to cancer therapy. The rules mapping tumour’s strategy distribution fitness individual can be represented as an evolutionary game. We develop game assay measure effective games co-cultures non-small cell lung are sensitive resistant anaplastic lymphoma kinase inhibitor Alectinib. not only quantitatively different between environments, but...
Abstract Background Tumours are diverse ecosystems with persistent heterogeneity in various cancer hallmarks like self-sufficiency of growth factor production for angiogenesis and reprogramming energy-metabolism aerobic glycolysis. This has consequences diagnosis, treatment, disease progression. Methods We introduce the double goods game to study dynamics these traits using evolutionary theory. model glycolytic acid as a public good all tumour cells oxygen from vascularization via VEGF club...
Abstract Valiant [1] proposed to treat Darwinian evolution as a special kind of computational learning from statistical queries. The queries represent genotype’s fitness over distribution challenges. And this challenges along with the best response them specify given abiotic environment or static landscape. Valiant’s model distinguished families environments that are “adaptable-to” those not. But omits vital ecological interactions between different evolving agents – it neglects rich biotic...
Abstract We show that as game theory was transferred from mathematical oncology to experimental cancer biology, a new mode of inquiry created. Modeling replaced by measuring. The measured assay can serve bridge allows knowledge flow backward target (cancer research) source (game theory). Our finding suggests the conformist and creative (Houkes Zwart 2019) types transfer need be augmented. conclude introducing expansive transformative get four-tier typology transfer.