Hybrid Modelling in Oncology: Sucesses, Challenges and Hopes
作者： Gibin Powathil , Angélique Stéphanou , Pascal Ballet
DOI:
关键词:
摘要: In this review we make the statement that hybrid models in oncology are required as a mean for enhanced data integration. context of systems oncology, experimental and clinical need to be at heart developments from conception validation ensure relevant use context. The main applications pursued improve diagnosis optimize therapies.We first present Successes achieved thanks modelling approaches advance knowledge, treatments or drug discovery. Then Challenges than addressed allow better integration model parts into models. And Finally, Hopes with focus towards making personalised medicine reality. Mathematics Subject Classification. 35Q92, 68U20, 68T05, 92-08, 92B05.
arxiv.org参考文章(62)
Maciej H. Swat, Gilberto L. Thomas, Julio M. Belmonte, Abbas Shirinifard, Dimitrij Hmeljak, James A. Glazier, Multi-Scale Modeling of Tissues Using CompuCell3D Methods in Cell Biology. ,vol. 110, pp. 325- 366 ,(2012) , 10.1016/B978-0-12-388403-9.00013-8
Thierry Colin, François Cornelis, Julien Jouganous, Marie Martin, Olivier Saut, Patient specific image driven evaluation of the aggressiveness of metastases to the lung. medical image computing and computer-assisted intervention. ,vol. 17, pp. 553- 560 ,(2014) , 10.1007/978-3-319-10404-1_69
Gibin G. Powathil, Alastair J. Munro, Mark A.J. Chaplain, Maciej Swat, Bystander effects and their implications for clinical radiation therapy: Insights from multiscale in silico experiments Journal of Theoretical Biology. ,vol. 401, pp. 1- 14 ,(2016) , 10.1016/J.JTBI.2016.04.010
Sotiris Prokopiou, Eduardo G. Moros, Jan Poleszczuk, Jimmy Caudell, Javier F. Torres-Roca, Kujtim Latifi, Jae K. Lee, Robert Myerson, Louis B. Harrison, Heiko Enderling, A proliferation saturation index to predict radiation response and personalize radiotherapy fractionation Radiation Oncology. ,vol. 10, pp. 159- 159 ,(2015) , 10.1186/S13014-015-0465-X
Michael Block, Physiologically based pharmacokinetic and pharmacodynamic modeling in cancer drug development: status, potential and gaps Expert Opinion on Drug Metabolism & Toxicology. ,vol. 11, pp. 743- 756 ,(2015) , 10.1517/17425255.2015.1037276
Ingeborg Klaassen, Reinier O. Schlingemann, Roeland M. H. Merks, Margriet M. Palm, Marchien G. Dallinga, Erik van Dijk, Computational Screening of Tip and Stalk Cell Behavior Proposes a Role for Apelin Signaling in Sprout Progression PLOS ONE. ,vol. 11, ,(2016) , 10.1371/JOURNAL.PONE.0159478
A. Stéphanou, S.R. McDougall, A.R.A. Anderson, M.A.J. Chaplain, Mathematical modelling of flow in 2D and 3D vascular networks: Applications to anti-angiogenic and chemotherapeutic drug strategies Mathematical and Computer Modelling. ,vol. 41, pp. 1137- 1156 ,(2005) , 10.1016/J.MCM.2005.05.008
Annabelle Ballesta, Jean Clairambault, Physiologically Based Mathematical Models to Optimize Therapies Against Metastatic Colorectal Cancer: A Mini-Review Current Pharmaceutical Design. ,vol. 20, pp. 37- 48 ,(2014) , 10.2174/138161282001140113123441
Baptiste Bedessem, Stéphanie Ruphy, SMT or TOFT? How the two main theories of carcinogenesis are made (artificially) incompatible. Acta Biotheoretica. ,vol. 63, pp. 257- 267 ,(2015) , 10.1007/S10441-015-9252-1
Yangjin Kim, Gibin Powathil, Hyunji Kang, Dumitru Trucu, Hyeongi Kim, Sean Lawler, Mark Chaplain, Strategies of Eradicating Glioma Cells: A Multi-Scale Mathematical Model with MiR-451-AMPK-mTOR Control PLOS ONE. ,vol. 10, pp. e0114370- ,(2015) , 10.1371/JOURNAL.PONE.0114370