R. 1. Chinot, O. Wick, W. Mason, W. Henriksson, R. Saran et al., Bevacizumab plus Radiotherapy???Temozolomide for Newly Diagnosed Glioblastoma, New England Journal of Medicine, vol.370, issue.8, pp.709-722, 2014.
DOI : 10.1056/NEJMoa1308345

M. Gilbert, J. Dignam, T. Armstrong, J. Wefel, D. Blumenthal et al., A Randomized Trial of Bevacizumab for Newly Diagnosed Glioblastoma, New England Journal of Medicine, vol.370, issue.8, pp.699-708, 2014.
DOI : 10.1056/NEJMoa1308573

M. Weller and W. Yung, Angiogenesis inhibition for glioblastoma at the edge: beyond AVAGlio and RTOG 0825, Neuro-Oncology, vol.15, issue.8, p.23864129, 2013.
DOI : 10.1093/neuonc/not106

R. Stupp, S. Taillibert, A. Kanner, S. Kesari, D. Steinberg et al., Maintenance Therapy With Tumor-Treating Fields Plus Temozolomide vs Temozolomide Alone for Glioblastoma, JAMA, vol.314, issue.23, pp.2535-2543, 2015.
DOI : 10.1001/jama.2015.16669

M. Nowosielski, B. Wiestler, G. Goebel, M. Hutterer, H. Schlemmer et al., Progression types after antiangiogenic therapy are related to outcome in recurrent glioblastoma, Neurology, vol.82, issue.19, 2014.
DOI : 10.1212/WNL.0000000000000402

E. Scribner, O. Saut, P. Province, A. Bag, T. Colin et al., Glioblastoma grows during antiangiogenesis: model to clinical predictions, PLoS ONE, vol.2014, issue.912, p.25506702

L. Shelton, P. Mukherjee, L. Huysentruyt, I. Urits, J. Rosenberg et al., A novel pre-clinical in vivo mouse model for malignant brain tumor growth and invasion, Journal of Neuro-Oncology, vol.59, issue.2, pp.165-176, 2010.
DOI : 10.1007/s11060-010-0115-y

M. Candolfi, J. Curtin, W. Nichols, A. Muhammad, G. King et al., Intracranial glioblastoma models in preclinical neuro-oncology: neuropathological characterization and tumor progression, Journal of Neuro-Oncology, vol.18, issue.2
DOI : 10.1007/s11060-007-9400-9

O. Keunen, M. Johansson, A. Oudin, M. Sanzey, S. Rahim et al., Anti-VEGF treatment reduces blood supply and increases tumor cell invasion in glioblastoma, Proceedings of the National Academy of Sciences, vol.108, issue.9, pp.3749-3754, 2011.
DOI : 10.1073/pnas.1014480108

Z. Tang, L. Araysi, and H. Fathallah-shaykh, c-Src and Neural Wiskott-Aldrich Syndrome Protein (N-WASP) Promote Low Oxygen-Induced Accelerated Brain Invasion by Gliomas, PLoS ONE, vol.13, issue.9, p.24069415, 2013.
DOI : 10.1371/journal.pone.0075436.s001

L. Plasswilm, A. Tannapfel, N. Cordes, R. Demir, K. Hoper et al., Hypoxia-Induced Tumour Cell Migration in an in vivo Chicken Model, Pathobiology, vol.68, issue.3, pp.99-105, 2000.
DOI : 10.1159/000055909

G. Baker, V. Yadav, S. Motsch, C. Koschmann, A. Calinescu et al., Mechanisms of Glioma Formation: Iterative Perivascular Glioma Growth and Invasion Leads to Tumor Progression, VEGF-Independent Vascularization, and Resistance to Antiangiogenic Therapy, Neoplasia, vol.16, issue.7, pp.543-561, 2014.
DOI : 10.1016/j.neo.2014.06.003

G. Bergers and D. Hanahan, Modes of resistance to anti-angiogenic therapy, Nature Reviews Cancer, vol.25, issue.8, pp.592-603, 2008.
DOI : 10.1038/nrc2442

P. Carmeliet and R. Jain, Angiogenesis in cancer and other diseases, Nature, vol.407, issue.6801, pp.249-257, 2000.
DOI : 10.1038/35025220

S. Eikenberry, T. Sankar, M. Preul, E. Kostelich, C. Thalhauser et al., Virtual glioblastoma: growth, migration and treatment in a three-dimensional mathematical model, Cell Proliferation, vol.136, issue.4, 2009.
DOI : 10.1111/j.1365-2184.2009.00613.x

C. Wenger, R. Salvador, P. Basser, and P. Miranda, Alternating electric fields (TTFields) for treating glioblastomas: a modeling study on efficacy, Neuro-Oncolgoy, vol.16, issue.supp12, p.92, 2014.

R. Stupp, E. Wong, A. Kanner, D. Steinberg, H. Engelhard et al., NovoTTF-100A versus physician???s choice chemotherapy in recurrent glioblastoma: A randomised phase III trial of a novel treatment modality, European Journal of Cancer, vol.48, issue.14, pp.2192-2202, 2012.
DOI : 10.1016/j.ejca.2012.04.011

L. Hathout, B. Ellingson, T. Cloughesy, and W. Pope, A novel bicompartmental mathematical model of glioblastoma multiforme, International Journal of Oncology, vol.46, issue.2, pp.825-832
DOI : 10.3892/ijo.2014.2741

K. Swanson, E. Alvord, and J. Murray, Virtual resection of gliomas: Effect of extent of resection on recurrence Mathematical and Computer Modelling, pp.1177-1190, 2003.

K. Swanson, Quantifying glioma cell growth and invasion in vitro Mathematical and Computer Modelling, pp.5-6638, 2008.

E. Konukoglu, O. Clatz, P. Bondiau, H. Delingette, and N. Ayache, Extrapolating glioma invasion margin in brain magnetic resonance images: Suggesting new irradiation margins, Medical Image Analysis, vol.14, issue.2, pp.111-125, 2010.
DOI : 10.1016/j.media.2009.11.005
URL : https://hal.archives-ouvertes.fr/inria-00616107

E. Konukoglu, O. Clatz, H. Bjoern, M. Wever, B. Stieltjes et al., Image Guided Personalization of Reaction-Diffusion Type Tumor Growth Models Using Modified Anisotropic Eikonal Equations, IEEE Transactions on Medical Imaging, vol.29, issue.1, pp.77-95, 2010.
DOI : 10.1109/TMI.2009.2026413
URL : https://hal.archives-ouvertes.fr/inria-00616100

K. Swanson, R. Rockne, J. Claridge, M. Chaplain, E. Alvord et al., Quantifying the Role of Angiogenesis in Malignant Progression of Gliomas: In Silico Modeling Integrates Imaging and Histology, Cancer Research, vol.71, issue.24, pp.7366-7375, 2011.
DOI : 10.1158/0008-5472.CAN-11-1399

H. Frieboes, J. Lowengrub, S. Wise, X. Zheng, P. Macklin et al., Computer simulation of glioma growth and morphology, NeuroImage, vol.37, p.17475515, 2007.
DOI : 10.1016/j.neuroimage.2007.03.008

M. Lin and W. Sessa, Antiangiogenic therapy, Cancer Cell, vol.6, issue.6, pp.529-531, 2004.
DOI : 10.1016/j.ccr.2004.12.003

S. Goel, A. Wong, and R. Jain, Vascular normalization as a therapeutic strategy for malignant and nonmalignant disease. Cold Spring Harb Perspect Med, p.22393532, 2012.

F. Winkler, S. Kozin, R. Tong, S. Chae, M. Booth et al., Kinetics of vascular normalization by VEGFR2 blockade governs brain tumor response to radiation, Cancer Cell, vol.6, issue.6, pp.553-563, 2004.
DOI : 10.1016/j.ccr.2004.10.011

N. Ferrara, H. Gerber, and J. Lecouter, The biology of VEGF and its receptors, Nature Medicine, vol.9, issue.6, pp.669-676, 2003.
DOI : 10.1038/nm0603-669

J. Heiss, E. Papavassiliou, M. Merrill, L. Nieman, J. Knightly et al., Mechanism of dexamethasone suppression of brain tumor-associated vascular permeability in rats. Involvement of the glucocorticoid receptor and vascular permeability factor., Journal of Clinical Investigation, vol.98, issue.6, pp.1400-1408, 1996.
DOI : 10.1172/JCI118927

P. Wen and L. Junck, Bevacizumab for glioblastoma: What can we learn from patterns of progression?, Neurology, vol.82, issue.19, pp.1670-1671, 2014.
DOI : 10.1212/WNL.0000000000000421

L. Moreno and A. Pearson, How can attrition rates be reduced in cancer drug discovery?, Expert Opinion on Drug Discovery, vol.9, issue.3, pp.363-368
DOI : 10.1586/ecp.12.51

I. Kola and J. Landis, Can the pharmaceutical industry reduce attrition rates? Nat Rev Drug Discov, 2004.

M. Ginsberg, Neuroprotection for ischemic stroke: Past, present and future, Neuropharmacology, vol.55, issue.3, pp.363-389, 2008.
DOI : 10.1016/j.neuropharm.2007.12.007

C. Kidwell, D. Liebeskind, S. Starkman, and J. Saver, Trends in Acute Ischemic Stroke Trials Through the 20th Century, Stroke, vol.32, issue.6, pp.1349-1359, 2001.
DOI : 10.1161/01.STR.32.6.1349

O. Saut, J. Lagaert, C. T. Fathallah-shaykh, and H. , A Multilayer Grow-or-Go Model for GBM: Effects of Invasive Cells and Anti-Angiogenesis on Growth, Bulletin of Mathematical Biology, vol.91, issue.Suppl 1, pp.2306-2333, 2014.
DOI : 10.1007/s11538-014-0007-y
URL : https://hal.archives-ouvertes.fr/hal-01038063

E. Kirson, V. Dbaly, F. Tovarys, J. Vymazal, J. Soustiel et al., Alternating electric fields arrest cell proliferation in animal tumor models and human brain tumors, Proceedings of the National Academy of Sciences, vol.104, issue.24, pp.10152-10157, 2007.
DOI : 10.1073/pnas.0702916104
URL : https://hal.archives-ouvertes.fr/hal-00318479

E. Kirson, Z. Gurvich, R. Schneiderman, E. Dekel, A. Itzhaki et al., Disruption of cancer cell replication by alternating electric fields. Cancer Res, pp.3288-3295, 2004.

T. Phenotypes, P. For-glioblastoma-multiforme, . One, M. Doi-mrugala, H. Engelhard et al., Clinical practice experience with NovoTTF-100A? system for glioblastoma: The Patient Registry Dataset (PRiDe) Semin Oncol, pp.10-1371, 2014.

P. Miranda, A. Mekonnen, R. Salvador, and P. Basser, Predicting the electric field distribution in the brain for the treatment of glioblastoma, Physics in Medicine and Biology, vol.59, issue.15, pp.4137-4147
DOI : 10.1088/0031-9155/59/15/4137