title: Towards the Design of a Patient-Specific Virtual Tumour.
abstract: The design of a patient-specific virtual tumour is an important step towards Personalized Medicine. However this requires to capture the description of many key events of tumour development, including angiogenesis, matrix remodelling, hypoxia, and cell state heterogeneity that will all influence the tumour growth kinetics and degree of tumour invasiveness. To that end, an integrated hybrid and multiscale approach has been developed based on data acquired on a preclinical mouse model as a proof of concept. Fluorescence imaging is exploited to build case-specific virtual tumours. Numerical simulations show that the virtual tumour matches the characteristics and spatiotemporal evolution of its real counterpart. We achieved this by combining image analysis and physiological modelling to accurately described the evolution of different tumour cases over a month. The development of such models is essential since a dedicated virtual tumour would be the perfect tool to identify the optimum therapeutic strategies that would make Personalized Medicine truly reachable and achievable.
authors.affiliation: Clinatec, INSERM UA01, 38054 Grenoble, France.
authors.forename: Flavien
authors.initials: F
authors.lastname: Caraguel
authors.affiliation: Université Grenoble Alpes, CNRS, TIMC-IMAG/DyCTIM2, 38041 Grenoble, France.
authors.forename: Anne-Cécile
authors.initials: AC
authors.lastname: Lesart
authors.affiliation: Université Grenoble Alpes, EA 7442 RSRM, ID17-ESRF, 38000 Grenoble, France.
authors.forename: François
authors.initials: F
authors.lastname: Estève
authors.affiliation: Clinatec, INSERM UA01, 38054 Grenoble, France.
authors.forename: Boudewijn
authors.initials: B
authors.lastname: van der Sanden
authors.affiliation: Université Grenoble Alpes, CNRS, TIMC-IMAG/DyCTIM2, 38041 Grenoble, France.
authors.forename: Angélique
authors.identifier: 0000-0001-6399-0425
authors.initials: A
authors.lastname: Stéphanou
mesh_terms: D000818:Animals; D002453:Cell Cycle; D002455:Cell Division; D045744:Cell Line, Tumor; D049109:Cell Proliferation; D003198:Computer Simulation; D004195:Disease Models, Animal; D004423:Ear / Q000503:physiopathology; D005109:Extracellular Matrix / Q000378:metabolism; D005260:Female; D049452:Green Fluorescent Proteins / Q000378:metabolism; D006801:Humans; D007091:Image Processing, Computer-Assisted; D036341:Intercellular Signaling Peptides and Proteins / Q000378:metabolism; D007700:Kinetics; D051379:Mice; D008819:Mice, Nude; D008954:Models, Biological; D009361:Neoplasm Invasiveness; D009369:Neoplasms / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D009389:Neovascularization, Pathologic; D010100:Oxygen / Q000737:chemistry; D057285:Precision Medicine / Q000379:methods*
chemical_list: D036341:Intercellular Signaling Peptides and Proteins; D049452:Green Fluorescent Proteins; D010100:Oxygen