Objective Gliomas are the most frequent primary brain tumours in adults (70%) with Glioblastoma multiforme (GBM) being the most frequent and most malignant sub-type (about 50%). Their growth is characterised by infiltration of surrounding healthy tissue, rapid proliferation, and the formation of a necrotic core. GBM growth often creates biomechanical forces that cause compression and displacement of the surrounding brain tissue. This mass-effect is of direct clinical importance; it correlates to functional loss and pressure-induced brain herniation is the leading cause of death for 73% of patients, however this is not used to inform treament. Overall long term prognosis for GBM remains poor, with median overall-survival below 1.5 years and 5-y survival rates below 3%.We hypothesize that biomechanical Glioma “phenotypes” can be distinguished by mathematical models that estimate the forces that produce tissue displacement. Forces building up as a result of tumour growth might alter the behaviour of cancer cells and can reduce blood perfusion by compressing intra-tumoral blood vessels thus affecting drug delivery. We therefore expect that biomechanical factors may have direct implications not only on the biophysical level, but also for clinical decision making, affecting treatment response and outcome.This project seeks to understand the role of biomechanics in the formation of different GBM phenotypes, and to identify “biomechanical markers” that can be used to inform clinical decision making for individual patients.A mathematical model of tumour growth and biomechanical tumour/healthy tissue interaction will be developed and characterised in a multi-step validation procedure. This model will be tested with clinical data and may allow for characterisation of the biomechanical fingerprint of individual patients. Its impact on treatment outcomes will be investigated in in silico studies with clinical data. Fields of science natural sciencescomputer and information sciencessoftwaresocial sciencessociologydemographymortalitymedical and health sciencesclinical medicineoncologynatural sciencesbiological sciencesbiophysicsnatural sciencesmathematicsapplied mathematicsmathematical model Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2016 - Individual Fellowships Call for proposal H2020-MSCA-IF-2016 See other projects for this call Funding Scheme MSCA-IF-GF - Global Fellowships Coordinator UNIVERSITAET BERN Net EU contribution € 247 840,20 Address Hochschulstrasse 6 3012 Bern Switzerland See on map Region Schweiz/Suisse/Svizzera Espace Mittelland Bern / Berne Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Partners (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all Partner Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement. BECKMAN RESEARCH INSTITUTE OF THE CITY OF HOPE United States Net EU contribution € 0,00 Address 1450 e duarte rd 91010 3000 Duarte ca See on map Activity type Other Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 160 130,40
