Show simple item record

dc.contributor.authorSottoriva, A
dc.contributor.authorVermeulen, L
dc.contributor.authorTavaré, S
dc.date.accessioned2018-11-19T12:10:57Z
dc.date.issued2011-05-05
dc.identifier.citationPLoS computational biology, 2011, 7 (5), pp. e1001132 - ?
dc.identifier.issn1553-734X
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/2943
dc.identifier.eissn1553-7358
dc.identifier.doi10.1371/journal.pcbi.1001132
dc.description.abstractThe cancer stem cell (CSC) concept is a highly debated topic in cancer research. While experimental evidence in favor of the cancer stem cell theory is apparently abundant, the results are often criticized as being difficult to interpret. An important reason for this is that most experimental data that support this model rely on transplantation studies. In this study we use a novel cellular Potts model to elucidate the dynamics of established malignancies that are driven by a small subset of CSCs. Our results demonstrate that epigenetic mutations that occur during mitosis display highly altered dynamics in CSC-driven malignancies compared to a classical, non-hierarchical model of growth. In particular, the heterogeneity observed in CSC-driven tumors is considerably higher. We speculate that this feature could be used in combination with epigenetic (methylation) sequencing studies of human malignancies to prove or refute the CSC hypothesis in established tumors without the need for transplantation. Moreover our tumor growth simulations indicate that CSC-driven tumors display evolutionary features that can be considered beneficial during tumor progression. Besides an increased heterogeneity they also exhibit properties that allow the escape of clones from local fitness peaks. This leads to more aggressive phenotypes in the long run and makes the neoplasm more adaptable to stringent selective forces such as cancer treatment. Indeed when therapy is applied the clone landscape of the regrown tumor is more aggressive with respect to the primary tumor, whereas the classical model demonstrated similar patterns before and after therapy. Understanding these often counter-intuitive fundamental properties of (non-)hierarchically organized malignancies is a crucial step in validating the CSC concept as well as providing insight into the therapeutical consequences of this model.
dc.formatPrint-Electronic
dc.format.extente1001132 - ?
dc.languageeng
dc.language.isoeng
dc.publisherPUBLIC LIBRARY SCIENCE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectHumans
dc.subjectNeoplasms
dc.subjectMonte Carlo Method
dc.subjectStochastic Processes
dc.subjectEvolution, Molecular
dc.subjectDNA Methylation
dc.subjectEpigenesis, Genetic
dc.subjectMutation
dc.subjectModels, Genetic
dc.subjectComputer Simulation
dc.subjectNeoplastic Stem Cells
dc.subjectCell Physiological Phenomena
dc.subjectGenetic Fitness
dc.titleModeling evolutionary dynamics of epigenetic mutations in hierarchically organized tumors.
dc.typeJournal Article
dcterms.dateAccepted2011-04-04
rioxxterms.versionofrecord10.1371/journal.pcbi.1001132
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2011-05-05
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfPLoS computational biology
pubs.issue5
pubs.notes6 months
pubs.organisational-group/ICR
pubs.organisational-group/ICR
pubs.publication-statusPublished
pubs.volume7
pubs.embargo.terms6 months
dc.contributor.icrauthorSottoriva, Andrea


Files in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record

https://creativecommons.org/licenses/by/4.0
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by/4.0