Clinically driven design of multi-scale cancer models: The ContraCancrum project paradigm

Marias, K; Dionysiou, D; Sakkalis, V; Graf, N; Bohle, RM; Coveney, P; Wan, S; Folarin, A; Buchler, P; Reyes, M; Clapworthy, G; Liu, E; Sabczynski, J; Bily, T; Roniotis, A; Tsiknakis, M; Kolokotroni, E; Giatili, S; Veith, C; Messe, E; Stenzhorn, H; Kim, Y-J; Zasada, S; Haidar, AN; May, C; Bauer, S; Wang, T; Zhao, Y; Karasek, M; Grewer, R; Franz, A; Stamatakos, G

dc.contributor.author	Marias, K	en
dc.contributor.author	Dionysiou, D	en
dc.contributor.author	Sakkalis, V	en
dc.contributor.author	Graf, N	en
dc.contributor.author	Bohle, RM	en
dc.contributor.author	Coveney, P	en
dc.contributor.author	Wan, S	en
dc.contributor.author	Folarin, A	en
dc.contributor.author	Buchler, P	en
dc.contributor.author	Reyes, M	en
dc.contributor.author	Clapworthy, G	en
dc.contributor.author	Liu, E	en
dc.contributor.author	Sabczynski, J	en
dc.contributor.author	Bily, T	en
dc.contributor.author	Roniotis, A	en
dc.contributor.author	Tsiknakis, M	en
dc.contributor.author	Kolokotroni, E	en
dc.contributor.author	Giatili, S	en
dc.contributor.author	Veith, C	en
dc.contributor.author	Messe, E	en
dc.contributor.author	Stenzhorn, H	en
dc.contributor.author	Kim, Y-J	en
dc.contributor.author	Zasada, S	en
dc.contributor.author	Haidar, AN	en
dc.contributor.author	May, C	en
dc.contributor.author	Bauer, S	en
dc.contributor.author	Wang, T	en
dc.contributor.author	Zhao, Y	en
dc.contributor.author	Karasek, M	en
dc.contributor.author	Grewer, R	en
dc.contributor.author	Franz, A	en
dc.contributor.author	Stamatakos, G	en
dc.date.accessioned	2014-03-01T02:01:53Z
dc.date.available	2014-03-01T02:01:53Z
dc.date.issued	2011	en
dc.identifier.issn	20428898	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29260
dc.subject	Brain cancer	en
dc.subject	Cancer modelling	en
dc.subject	Lung cancer	en
dc.subject	Predictive oncology	en
dc.title	Clinically driven design of multi-scale cancer models: The ContraCancrum project paradigm	en
heal.type	journalArticle	en
heal.identifier.primary	10.1098/rsfs.2010.0037	en
heal.identifier.secondary	http://dx.doi.org/10.1098/rsfs.2010.0037	en
heal.publicationDate	2011	en
heal.abstract	The challenge of modelling cancer presents a major opportunity to improve our ability to reduce mortality from malignant neoplasms, improve treatments and meet the demands associated with the individualization of care needs. This is the central motivation behind the ContraCancrum project. By developing integrated multi-scale cancer models, ContraCancrum is expected to contribute to the advancement of in silico oncology through the optimization of cancer treatment in the patient-individualized context by simulating the response to various therapeutic regimens. The aim of the present paper is to describe a novel paradigm for designing clinically driven multi-scale cancer modelling by bringing together basic science and information technology modules. In addition, the integration of the multi-scale tumour modelling components has led to novel concepts of personalized clinical decision support in the context of predictive oncology, as is also discussed in the paper. Since clinical adaptation is an inelastic prerequisite, a long-term clinical adaptation procedure of the models has been initiated for two tumour types, namely non-small cell lung cancer and glioblastoma multiforme; its current status is briefly summarized. © 2011 The Royal Society.	en
heal.journalName	Interface Focus	en
dc.identifier.doi	10.1098/rsfs.2010.0037	en
dc.identifier.volume	1	en
dc.identifier.issue	3	en
dc.identifier.spage	450	en
dc.identifier.epage	461	en