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A Race Between Tumor Immunoescape and Genome Maintenance Selects for Optimum Levels of (Epi)genetic Instability

dash.depositing.authorMichor, Franziska L.
dash.licenseLAA
dc.contributor.authorIwami, Shingo
dc.contributor.authorHaeno, Hiroshi
dc.contributor.authorMichor, Franziska
dc.date.accessioned2012-04-19T18:55:23Z
dc.date.available2012-04-19T18:55:23Z
dc.date.issued2012
dc.description.abstractThe human immune system functions to provide continuous body-wide surveillance to detect and eliminate foreign agents such as bacteria and viruses as well as the body's own cells that undergo malignant transformation. To counteract this surveillance, tumor cells evolve mechanisms to evade elimination by the immune system; this tumor immunoescape leads to continuous tumor expansion, albeit potentially with a different composition of the tumor cell population (“immunoediting”). Tumor immunoescape and immunoediting are products of an evolutionary process and are hence driven by mutation and selection. Higher mutation rates allow cells to more rapidly acquire new phenotypes that help evade the immune system, but also harbor the risk of an inability to maintain essential genome structure and functions, thereby leading to an error catastrophe. In this paper, we designed a novel mathematical framework, based upon the quasispecies model, to study the effects of tumor immunoediting and the evolution of (epi)genetic instability on the abundance of tumor and immune system cells. We found that there exists an optimum number of tumor variants and an optimum magnitude of mutation rates that maximize tumor progression despite an active immune response. Our findings provide insights into the dynamics of tumorigenesis during immune system attacks and help guide the choice of treatment strategies that best inhibit diverse tumor cell populations.en_US
dc.description.versionVersion of Recorden_US
dc.identifier.citationIwami, Shingo, Hiroshi Haeno, and Franziska Michor. 2012. A race between tumor immunoescape and genome maintenance selects for optimum levels of (epi)genetic instability. PLoS Computational Biology 8(2): e1002370.en_US
dc.identifier.doi10.1371/journal.pcbi.1002370*
dc.identifier.issn1553-734Xen_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:8603139
dc.language.isoen_USen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC3280962/pdf/en_US
dc.relation.isversionofdoi://10.1371/journal.pcbi.1002370en_US
dc.relation.journalPLoS Computational Biologyen_US
dc.subjectmathematicsen_US
dc.subjectapplied mathematicsen_US
dc.subjectoncologyen_US
dc.subjectmedicineen_US
dc.titleA Race Between Tumor Immunoescape and Genome Maintenance Selects for Optimum Levels of (Epi)genetic Instabilityen_US
dc.typeJournal Articleen_US
dspace.entity.typePublication
oaire.licenseConditionLAA
relation.isAuthorOfPublicationdc20a16e-abab-4293-a8fa-1b0c753c0864
relation.isAuthorOfPublicationae8e26c3-ce3a-45c6-be61-612da09ea3df
relation.isAuthorOfPublication.latestForDiscoverydc20a16e-abab-4293-a8fa-1b0c753c0864

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