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Patient-specific tumour growth model for quantification of mechanical 'markers' in malignant gliomas: Implications for treatment outcomes.

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.

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Programme(s)

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Topic(s)

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Funding Scheme

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MSCA-IF-GF - Global Fellowships

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Call for proposal

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(opens in new window) H2020-MSCA-IF-2016

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Coordinator

UNIVERSITAET BERN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 247 840,20
Address
HOCHSCHULSTRASSE 6
3012 Bern
Switzerland

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Region
Schweiz/Suisse/Svizzera Espace Mittelland Bern / Berne
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 247 840,20

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