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dc.contributor.author Neufeld Z
dc.contributor.author von Witt W
dc.contributor.author Lakatos D
dc.contributor.author Wang J
dc.contributor.author Hegedűs, Balázs
dc.contributor.author Czirok A
dc.date.accessioned 2018-06-08T08:16:10Z
dc.date.available 2018-06-08T08:16:10Z
dc.date.issued 2017
dc.identifier.citation pagination=e1005818, pages:14; journalVolume=13; journalIssueNumber=11; journalTitle=PLOS COMPUTATIONAL BIOLOGY;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/4622
dc.identifier.uri doi:10.1371/journal.pcbi.1005818
dc.description.abstract Resection of the bulk of a tumour often cannot eliminate all cancer cells, due to their infiltration into the surrounding healthy tissue. This may lead to recurrence of the tumour at a later time. We use a reaction-diffusion equation based model of tumour growth to investigate how the invasion front is delayed by resection, and how this depends on the density and behaviour of the remaining cancer cells. We show that the delay time is highly sensitive to qualitative details of the proliferation dynamics of the cancer cell population. The typically assumed logistic type proliferation leads to unrealistic results, predicting immediate recurrence. We find that in glioblastoma cell cultures the cell proliferation rate is an increasing function of the density at small cell densities. Our analysis suggests that cooperative behaviour of cancer cells, analogous to the Allee effect in ecology, can play a critical role in determining the time until tumour recurrence.
dc.relation.ispartof urn:issn:1553-734X
dc.title The role of Allee effect in modelling post resection recurrence of glioblastoma
dc.type Journal Article
dc.date.updated 2018-01-08T12:13:23Z
dc.language.rfc3066 en
dc.identifier.mtmt 3312394
dc.identifier.pubmed 29149169
dc.contributor.department SE/AOK/I/IISZPI/MTA-SE Molekuláris Onkológia Kutatócsoport
dc.contributor.institution Semmelweis Egyetem


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