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dc.contributor.authorAlmeida, Luís
dc.contributor.authorChisholm, Rebecca H.
dc.contributor.authorClairambault, Jean
dc.contributor.authorLorenzi, Tommaso
dc.contributor.authorLorz, Alexander
dc.contributor.authorPouchol, Camille
dc.contributor.authorTrélat, Emmanuel
dc.date.accessioned2021-04-12T07:01:55Z
dc.date.available2021-04-12T07:01:55Z
dc.date.issued2018-08-17
dc.identifier.citationAlmeida, L., Chisholm, R. H., Clairambault, J., Lorenzi, T., Lorz, A., Pouchol, C., & Trélat, E. (2018). Why Is Evolution Important in Cancer and What Mathematics Should Be Used to Treat Cancer? Focus on Drug Resistance. Trends in Biomathematics: Modeling, Optimization and Computational Problems, 107–120. doi:10.1007/978-3-319-91092-5_8
dc.identifier.isbn9783319910918
dc.identifier.isbn9783319910925
dc.identifier.doi10.1007/978-3-319-91092-5_8
dc.identifier.urihttp://hdl.handle.net/10754/668678
dc.description.abstractThe clinical question of drug resistance in cancer, our initial motivation to study continuous models of adaptive cell population dynamics, leads naturally and more generally to consider the cancer disease itself from an evolutionary biology viewpoint, a consideration without which even the best targeted therapies will likely most often eventually fail. Among the challenging questions to mathematicians who tackle the task of understanding this disease and optimising its treatment are the representation of phenotypic heterogeneity of cancer cell populations and of their plasticity in response to anticancer drug insults. Such representation can be obtained using phenotype-structured models of healthy and cancer cell populations, and optimal control methods to optimise drug effects, with the perspective to implement them in the therapeutics of cancer, aiming at both avoiding the emergence of drug resistance in tumours and taking into account a constraint of limiting unwanted adverse effects to healthy tissues.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/10.1007/978-3-319-91092-5_8
dc.rightsArchived with thanks to Springer International Publishing
dc.titleWhy Is Evolution Important in Cancer and What Mathematics Should Be Used to Treat Cancer? Focus on Drug Resistance
dc.typeBook Chapter
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.eprint.versionPost-print
dc.contributor.institutionCNRS, Paris, France
dc.contributor.institutionTeam Mamba, INRIA, Paris, France
dc.contributor.institutionSorbonne Universités, Laboratoire Jacques-Louis Lions, UPMC, Paris, France
dc.contributor.institutionMelbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia
dc.contributor.institutionDepartment of Mathematics and Statistics, University of St Andrews, Fife, Scotland
dc.contributor.institutionTeam Cage, INRIA, Paris, France
dc.identifier.pages107-120
kaust.personLorz, Alexander
refterms.dateFOA2021-04-12T07:05:04Z


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