Literature DB >> 25149139

A multilayer grow-or-go model for GBM: effects of invasive cells and anti-angiogenesis on growth.

Olivier Saut1, Jean-Baptiste Lagaert, Thierry Colin, Hassan M Fathallah-Shaykh.   

Abstract

The recent use of anti-angiogenesis (AA) drugs for the treatment of glioblastoma multiforme (GBM) has uncovered unusual tumor responses. Here, we derive a new mathematical model that takes into account the ability of proliferative cells to become invasive under hypoxic conditions; model simulations generate the multilayer structure of GBM, namely proliferation, brain invasion, and necrosis. The model is able to replicate and justify the clinical observation of rebound growth when AA therapy is discontinued in some patients. The model is interrogated to derive fundamental insights int cancer biology and on the clinical and biological effects of AA drugs. Invasive cells promote tumor growth, which in the long run exceeds the effects of angiogenesis alone. Furthermore, AA drugs increase the fraction of invasive cells in the tumor, which explain progression by fluid-attenuated inversion recovery (FLAIR) signal and the rebound tumor growth when AA is discontinued.

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Year:  2014        PMID: 25149139     DOI: 10.1007/s11538-014-0007-y

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  13 in total

Review 1.  Clinical implications of in silico mathematical modeling for glioblastoma: a critical review.

Authors:  Maria Protopapa; Anna Zygogianni; Georgios S Stamatakos; Christos Antypas; Christina Armpilia; Nikolaos K Uzunoglu; Vassilis Kouloulias
Journal:  J Neurooncol       Date:  2017-10-28       Impact factor: 4.130

Review 2.  Monoamines in glioblastoma: complex biology with therapeutic potential.

Authors:  Seamus Patrick Caragher; Robert Raymond Hall; Riasat Ahsan; Atique U Ahmed
Journal:  Neuro Oncol       Date:  2018-07-05       Impact factor: 12.300

3.  Integrated Biophysical Modeling and Image Analysis: Application to Neuro-Oncology.

Authors:  Andreas Mang; Spyridon Bakas; Shashank Subramanian; Christos Davatzikos; George Biros
Journal:  Annu Rev Biomed Eng       Date:  2020-06-04       Impact factor: 9.590

4.  WHERE DID THE TUMOR START? AN INVERSE SOLVER WITH SPARSE LOCALIZATION FOR TUMOR GROWTH MODELS.

Authors:  Shashank Subramanian; Klaudius Scheufele; Miriam Mehl; George Biros
Journal:  Inverse Probl       Date:  2020-02-26       Impact factor: 2.407

5.  Effects of anti-angiogenesis on glioblastoma growth and migration: model to clinical predictions.

Authors:  Elizabeth Scribner; Olivier Saut; Paula Province; Asim Bag; Thierry Colin; Hassan M Fathallah-Shaykh
Journal:  PLoS One       Date:  2014-12-15       Impact factor: 3.240

6.  Computational Trials: Unraveling Motility Phenotypes, Progression Patterns, and Treatment Options for Glioblastoma Multiforme.

Authors:  Fabio Raman; Elizabeth Scribner; Olivier Saut; Cornelia Wenger; Thierry Colin; Hassan M Fathallah-Shaykh
Journal:  PLoS One       Date:  2016-01-12       Impact factor: 3.240

7.  Towards the Design of a Patient-Specific Virtual Tumour.

Authors:  Flavien Caraguel; Anne-Cécile Lesart; François Estève; Boudewijn van der Sanden; Angélique Stéphanou
Journal:  Comput Math Methods Med       Date:  2016-12-19       Impact factor: 2.238

Review 8.  In Silico Mathematical Modelling for Glioblastoma: A Critical Review and a Patient-Specific Case.

Authors:  Jacopo Falco; Abramo Agosti; Ignazio G Vetrano; Alberto Bizzi; Francesco Restelli; Morgan Broggi; Marco Schiariti; Francesco DiMeco; Paolo Ferroli; Pasquale Ciarletta; Francesco Acerbi
Journal:  J Clin Med       Date:  2021-05-17       Impact factor: 4.241

9.  Modeling of Glioma Growth With Mass Effect by Longitudinal Magnetic Resonance Imaging.

Authors:  Birkan Tunc; David Hormuth; George Biros; Thomas E Yankeelov
Journal:  IEEE Trans Biomed Eng       Date:  2021-11-19       Impact factor: 4.538

Review 10.  Current Challenges in Glioblastoma: Intratumour Heterogeneity, Residual Disease, and Models to Predict Disease Recurrence.

Authors:  Hayley P Ellis; Mark Greenslade; Ben Powell; Inmaculada Spiteri; Andrea Sottoriva; Kathreena M Kurian
Journal:  Front Oncol       Date:  2015-11-16       Impact factor: 6.244

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