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GlimS SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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Project "GlimS" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAET BERN 

Organization address
address: HOCHSCHULSTRASSE 6
city: BERN
postcode: 3012
website: http://www.unibe.ch

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Project website http://www.glims.ch
 Total cost 247˙840 €
 EC max contribution 247˙840 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2016
 Funding Scheme MSCA-IF-GF
 Starting year 2017
 Duration (year-month-day) from 2017-06-01   to  2020-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAET BERN CH (BERN) coordinator 247˙840.00
2    BECKMAN RESEARCH INSTITUTE OF THE CITY OF HOPE US (DUARTE CA) partner 0.00

Map

 Project 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.

 Publications

year authors and title journal last update
List of publications.
2018 Daniel Abler, Philippe Büchler, Russell Rockne
TMOD-15. RELIABILITY OF IMAGING-BASED MEASURES OF TUMOR ‘MASS-EFFECT’– EVIDENCE FROM A COMPUTATIONAL STUDY
published pages: vi271-vi271, ISSN: 1522-8517, DOI: 10.1093/neuonc/noy148.1127
Neuro-Oncology 20/suppl_6 2019-10-29
2018 Kathryn M. Kingsmore, Andrea Vaccari, Daniel Abler, Sophia X. Cui, Frederick H. Epstein, Russell C. Rockne, Scott T. Acton, Jennifer M. Munson
MRI analysis to map interstitial flow in the brain tumor microenvironment
published pages: 31905, ISSN: 2473-2877, DOI: 10.1063/1.5023503
APL Bioengineering 2/3 2019-10-29
2017 Daniel Abler, Russell Rockne, Philippe Büchler
TMIC-09. TOWARDS A FRAMEWORK FOR PREDICTIVE MATHEMATICAL MODELING OF THE BIOMECHANICAL FORCES CAUSING BRAIN TUMOR MASS-EFFECT
published pages: vi245-vi245, ISSN: 1522-8517, DOI: 10.1093/neuonc/nox168.999
Neuro-Oncology 19/suppl_6 2019-10-29
2018 D. Abler, R. Rockne, P. Büchler
Evaluating the Effect of Tissue Anisotropy on Brain Tumor Growth using a Mechanically-coupled Reaction-Diffusion Model
published pages: , ISSN: , DOI:
2019-10-29
2019 D. Abler, P. Büchler, R. C. Rockne
Characterizing Biomechanical Tumor Growth
published pages: , ISSN: , DOI:
2019-10-29
2018 D. Abler, R. Rockne, P. Büchler
Simulating Brain Tumour Mass-Effect
published pages: , ISSN: , DOI: 10.29007/t262
2019-10-29
2018 Daniel Abler, Prativa Sahoo, Kathryn Kingsmore, Jennifer Munson, Philippe Büchler, Russell Rockne
TMIC-19. USING QUANTITATIVE MR IMAGING TO RELATE GBM MASS EFFECT TO PERFUSION AND DIFFUSION CHARACTERISTICS OF THE TUMOR MICRO-ENVIRONMENT
published pages: vi260-vi260, ISSN: 1522-8517, DOI: 10.1093/neuonc/noy148.1078
Neuro-Oncology 20/suppl_6 2019-10-29
2018 Abler, Daniel; Rockne, Russell; Büchler, Philippe
Image-based Parameter Optimization of a mechanically-coupled Brain Tumor Growth Model
published pages: , ISSN: , DOI: 10.5281/zenodo.1326940
2019-10-29

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