V. Rigau, S. Zouaoui, H. Mathieu-daude, A. Darlix, and A. Maran, French Brain Tumor DataBase: 5-Year Histological Results on 25???756 Cases, Brain Pathology, vol.8, issue.7, pp.633-644, 2011.
DOI : 10.1111/j.1750-3639.2011.00491.x

P. Jukich, B. Mccarthy, T. Surawicz, S. Freels, and F. Davis, Trends in incidence of primary brain tumors in the United States, Neuro Oncol, vol.3, pp.141-151, 1985.

L. Bauchet, H. Mathieu-daude, P. Fabbro-peray, V. Rigau, and M. Fabbro, Oncological patterns of care and outcome for 952 patients with newly diagnosed glioblastoma in 2004, Neuro-Oncology, vol.12, issue.7, pp.725-735, 2004.
DOI : 10.1093/neuonc/noq030

E. Mandonnet, J. Delattre, M. Tanguy, K. Swanson, and A. Carpentier, Continuous growth of mean tumor diameter in a subset of grade II gliomas, Annals of Neurology, vol.54, issue.4, pp.524-528, 2003.
DOI : 10.1002/ana.10528

D. Ricard, A. Idbaih, F. Ducray, M. Lahutte, and K. Hoang-xuan, Primary brain tumours in adults, The Lancet, vol.379, issue.9830, pp.1984-1996, 2012.
DOI : 10.1016/S0140-6736(11)61346-9

M. Van-den-bent, A. Carpentier, A. Brandes, M. Sanson, and M. Taphoorn, Adjuvant Procarbazine, Lomustine, and Vincristine Improves Progression-Free Survival but Not Overall Survival in Newly Diagnosed Anaplastic Oligodendrogliomas and Oligoastrocytomas: A Randomized European Organisation for Research and Treatment of Cancer Phase III Trial, Journal of Clinical Oncology, vol.24, issue.18, pp.2715-2722, 2006.
DOI : 10.1200/JCO.2005.04.6078

C. Shinohara, Y. Muragaki, T. Maruyama, S. Shimizu, and M. Tanaka, Long-term Prognostic Assessment of 185 Newly Diagnosed Gliomas--Grade III Glioma Showed Prognosis Comparable to That of Grade II Glioma, Japanese Journal of Clinical Oncology, vol.38, issue.11, pp.730-733, 2008.
DOI : 10.1093/jjco/hyn099

R. Prayson, D. Agamanolis, M. Cohen, M. Estes, and B. Kleinschmidt-demasters, Interobserver reproducibility among neuropathologists and surgical pathologists in fibrillary astrocytoma grading, Journal of the Neurological Sciences, vol.175, issue.1, pp.33-39, 2000.
DOI : 10.1016/S0022-510X(00)00274-4

J. Pallud, E. Mandonnet, H. Duffau, M. Kujas, and R. Guillevin, Prognostic value of initial magnetic resonance imaging growth rates for World Health Organization grade II gliomas, Annals of Neurology, vol.22, issue.3, pp.380-383, 2006.
DOI : 10.1002/ana.20946

URL : https://hal.archives-ouvertes.fr/inserm-00163977

S. Price, Advances in imaging low-grade gliomas, Adv Tech Stand Neurosurg, vol.35, pp.1-34, 2010.
DOI : 10.1007/978-3-211-99481-8_1

A. Chakravarti, E. Noll, P. Black, D. Finkelstein, and D. Finkelstein, Quantitatively Determined Survivin Expression Levels Are of Prognostic Value in Human Gliomas, Journal of Clinical Oncology, vol.20, issue.4, pp.1063-1068, 2002.
DOI : 10.1200/JCO.2002.20.4.1063

S. Heegaard, H. Sommer, H. Broholm, and O. Broendstrup, Proliferating cell nuclear antigen and Ki-67 immunohistochemistry of oligodendrogliomas with special reference to prognosis, Cancer, vol.52, issue.10, pp.1809-1813, 1995.
DOI : 10.1002/1097-0142(19951115)76:10<1809::AID-CNCR2820761020>3.0.CO;2-I

A. Stemmer-rachamimov and D. Louis, Histopathologic and immunohistochemical prognostic factors in malignant gliomas, Current Opinion in Oncology, vol.9, issue.3, pp.230-234, 1997.
DOI : 10.1097/00001622-199709030-00003

M. Shirahata, K. Iwao-koizumi, S. Saito, N. Ueno, and M. Oda, Gene Expression-Based Molecular Diagnostic System for Malignant Gliomas Is Superior to Histological Diagnosis, Clinical Cancer Research, vol.13, issue.24, pp.7341-7356, 2007.
DOI : 10.1158/1078-0432.CCR-06-2789

C. Nutt, D. Mani, R. Betensky, P. Tamayo, and J. Cairncross, Gene expression-based classification of malignant gliomas correlates better with survival than histological classification, Cancer Res, vol.63, pp.1602-1607, 2003.

A. Li, J. Walling, S. Ahn, Y. Kotliarov, and Q. Su, Unsupervised Analysis of Transcriptomic Profiles Reveals Six Glioma Subtypes, Cancer Research, vol.69, issue.5, pp.2091-2099, 2009.
DOI : 10.1158/0008-5472.CAN-08-2100

L. Gravendeel, M. Kouwenhoven, O. Gevaert, J. De-rooi, and A. Stubbs, Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology, Cancer Research, vol.69, issue.23, pp.9065-9072, 2009.
DOI : 10.1158/0008-5472.CAN-09-2307

W. Freije, F. Castro-vargas, Z. Fang, S. Horvath, and T. Cloughesy, Gene Expression Profiling of Gliomas Strongly Predicts Survival, Cancer Research, vol.64, issue.18, pp.6503-6510, 2004.
DOI : 10.1158/0008-5472.CAN-04-0452

L. Petalidis, A. Oulas, M. Backlund, M. Wayland, and L. Liu, Improved grading and survival prediction of human astrocytic brain tumors by artificial neural network analysis of gene expression microarray data, Molecular Cancer Therapeutics, vol.7, issue.5, pp.1013-1024, 2008.
DOI : 10.1158/1535-7163.MCT-07-0177

L. Cooper, D. Gutman, Q. Long, B. Johnson, and S. Cholleti, The Proneural Molecular Signature Is Enriched in Oligodendrogliomas and Predicts Improved Survival among Diffuse Gliomas, PLoS ONE, vol.65, issue.9, p.12548, 2010.
DOI : 10.1371/journal.pone.0012548.s011

M. De-tayrac, M. Aubry, S. Sa?¨kalisa?¨kali, A. Etcheverry, and C. Surbled, A 4-Gene Signature Associated with Clinical Outcome in High-Grade Gliomas, Clinical Cancer Research, vol.17, issue.2, pp.317-327, 2011.
DOI : 10.1158/1078-0432.CCR-10-1126

URL : https://hal.archives-ouvertes.fr/inserm-00545436

T. Rème, D. Hose, C. Theillet, and B. Klein, Modeling risk stratification in human cancer, Bioinformatics, vol.29, issue.9, pp.1149-1157, 2013.
DOI : 10.1093/bioinformatics/btt124

K. Kannan, A. Inagaki, J. Silber, D. Gorovets, and J. Zhang, Whole-exome sequencing identifies ATRX mutation as a key molecular determinant in lower-grade glioma, Oncotarget, vol.3, issue.10, pp.1194-1203, 2012.
DOI : 10.18632/oncotarget.689

F. Ducray, A. Idbaih, A. De-reynies, I. Bieche, and J. Thillet, Anaplastic oligodendrogliomas with 1p19q codeletion have a proneural gene expression profile, Molecular Cancer, vol.7, issue.1, p.41, 2008.
DOI : 10.1186/1476-4598-7-41

S. Piccirillo, B. Reynolds, N. Zanetti, G. Lamorte, and E. Binda, Bone morphogenetic proteins inhibit the tumorigenic potential of human brain tumour-initiating cells, Nature, vol.156, issue.7120, pp.761-765, 2006.
DOI : 10.1038/nature05349

E. Ladi, J. Nichols, W. Ge, A. Miyamoto, and C. Yao, The divergent DSL ligand Dll3 does not activate Notch signaling but cell autonomously attenuates signaling induced by other DSL ligands, The Journal of Cell Biology, vol.16, issue.6, pp.983-992, 2005.
DOI : 10.1002/gene.10081

L. Jiang, J. Wu, Q. Chen, X. Hu, and W. Li, Notch1 expression is upregulated in glioma and is associated with tumor progression, Journal of Clinical Neuroscience, vol.18, issue.3, pp.387-390, 2011.
DOI : 10.1016/j.jocn.2010.07.131

J. Li, Y. Cui, G. Gao, Z. Zhao, and H. Zhang, Notch1 is an independent prognostic factor for patients with glioma, Journal of Surgical Oncology, vol.53, issue.8, pp.813-817, 2011.
DOI : 10.1002/jso.21851

V. Duhem-tonnelle, I. Bieche, S. Vacher, A. Loyens, and C. Maurage, Differential Distribution of erbB Receptors in Human Glioblastoma Multiforme: Expression of erbB3 in CD133-Positive Putative Cancer Stem Cells, Journal of Neuropathology & Experimental Neurology, vol.69, issue.6, pp.606-622, 2010.
DOI : 10.1097/NEN.0b013e3181e00579

URL : https://hal.archives-ouvertes.fr/inserm-00487086

G. Fuller, C. Rhee, K. Hess, L. Caskey, and R. Wang, Reactivation of insulin-like growth factor binding protein 2 expression in glioblastoma multiforme: a revelation by parallel gene expression profiling, Cancer Res, vol.59, pp.4228-4232, 1999.

M. Tanwar, M. Gilbert, and E. Holland, Gene expression microarray analysis reveals YKL-40 to be a potential serum marker for malignant character in human glioma, Cancer Res, vol.62, pp.4364-4368, 2002.

P. Zinn, B. Mahajan, P. Sathyan, S. Singh, and S. Majumder, Radiogenomic Mapping of Edema/Cellular Invasion MRI-Phenotypes in Glioblastoma Multiforme, PLoS ONE, vol.7, issue.10, p.25451, 2011.
DOI : 10.1371/journal.pone.0025451.s002

J. Nigro, A. Misra, L. Zhang, I. Smirnov, and H. Colman, Integrated Array-Comparative Genomic Hybridization and Expression Array Profiles Identify Clinically Relevant Molecular Subtypes of Glioblastoma, Cancer Research, vol.65, issue.5, pp.1678-1686, 2005.
DOI : 10.1158/0008-5472.CAN-04-2921

H. Phillips, S. Kharbanda, R. Chen, W. Forrest, and R. Soriano, Molecular subclasses of high-grade glioma predict prognosis, delineate a pattern of disease progression, and resemble stages in neurogenesis, Cancer Cell, vol.9, issue.3, pp.157-173, 2006.
DOI : 10.1016/j.ccr.2006.02.019

L. Morra and H. Moch, Periostin expression and epithelial-mesenchymal transition in cancer: a review and an update, Virchows Archiv, vol.1775, issue.Pt 1, pp.465-475, 2011.
DOI : 10.1007/s00428-011-1151-5

L. Cooper, D. Gutman, Q. Long, B. Johnson, and S. Cholleti, The Proneural Molecular Signature Is Enriched in Oligodendrogliomas and Predicts Improved Survival among Diffuse Gliomas, PLoS ONE, vol.65, issue.9, p.12548, 2010.
DOI : 10.1371/journal.pone.0012548.s011

L. Bie, G. Zhao, P. Cheng, G. Rondeau, and S. Porwollik, The Accuracy of Survival Time Prediction for Patients with Glioma Is Improved by Measuring Mitotic Spindle Checkpoint Gene Expression, PLoS ONE, vol.360, issue.10, p.25631, 2011.
DOI : 10.1371/journal.pone.0025631.s010

C. Yu, J. Hsu, Y. Lee, A. Tsou, and C. Chou, Phosphorylation and Stabilization of HURP by Aurora-A: Implication of HURP as a Transforming Target of Aurora-A, Molecular and Cellular Biology, vol.25, issue.14, pp.5789-5800, 2005.
DOI : 10.1128/MCB.25.14.5789-5800.2005

T. Kalin, V. Ustiyan, and V. Kalinichenko, Multiple faces of FoxM1 transcription factor, Cell Cycle, vol.62, issue.3, pp.396-405, 2011.
DOI : 10.1158/0008-5472.CAN-10-2004

D. Hayward and A. Fry, Nek2 kinase in chromosome instability and cancer, Cancer Letters, vol.237, issue.2, pp.155-166, 2006.
DOI : 10.1016/j.canlet.2005.06.017

F. Eckerdt, J. Yuan, and K. Strebhardt, Polo-like kinases and oncogenesis, Oncogene, vol.24, issue.2, pp.267-276, 2005.
DOI : 10.1038/sj.onc.1208273

Y. Liang, M. Diehn, N. Watson, A. Bollen, and K. Aldape, Gene expression profiling reveals molecularly and clinically distinct subtypes of glioblastoma multiforme, Proceedings of the National Academy of Sciences, vol.102, issue.16, pp.5814-5819, 2005.
DOI : 10.1073/pnas.0402870102

Z. Zhou, J. Wang, R. Cao, H. Morita, and R. Soininen, Impaired Angiogenesis, Delayed Wound Healing and Retarded Tumor Growth in Perlecan Heparan Sulfate-Deficient Mice, Cancer Research, vol.64, issue.14, pp.4699-4702, 2004.
DOI : 10.1158/0008-5472.CAN-04-0810

A. Jubb, L. Browning, L. Campo, H. Turley, and G. Steers, Expression of vascular Notch ligands Delta-like 4 and Jagged-1 in glioblastoma, Histopathology, vol.68, issue.5, pp.740-747, 2012.
DOI : 10.1111/j.1365-2559.2011.04138.x

D. Mamaeva, C. Ripoll, C. Bony, M. Teigell, and F. Perrin, Isolation of mineralizing Nestin+ Nkx6.1+ vascular muscular cells from the adult human spinal cord, BMC Neuroscience, vol.12, issue.1, p.99, 2011.
DOI : 10.1016/S1044-7431(03)00161-1

URL : https://hal.archives-ouvertes.fr/inserm-00637318

D. Zagzag, D. Friedlander, J. Dosik, S. Chikramane, and W. Chan, Tenascin-C expression by angiogenic vessels in human astrocytomas and by human brain endothelial cells in vitro, Cancer Res, vol.56, pp.182-189, 1996.

D. Hanahan and R. Weinberg, Hallmarks of Cancer: The Next Generation, Cell, vol.144, issue.5, pp.646-674, 2011.
DOI : 10.1016/j.cell.2011.02.013

M. Elmlinger, M. Deininger, B. Schuett, R. Meyermann, and F. Duffner, In Vivo Expression of Insulin-Like Growth Factor-Binding Protein-2 in Human Gliomas Increases with the Tumor Grade, Endocrinology, vol.142, issue.4, pp.1652-1658, 2001.
DOI : 10.1210/en.142.4.1652

C. Nutt, R. Betensky, M. Brower, T. Batchelor, and D. Louis, YKL-40 Is a Differential Diagnostic Marker for Histologic Subtypes of High-Grade Gliomas, Clinical Cancer Research, vol.11, issue.6, pp.2258-2264, 2005.
DOI : 10.1158/1078-0432.CCR-04-1601

R. Simon, Roadmap for Developing and Validating Therapeutically Relevant Genomic Classifiers, Journal of Clinical Oncology, vol.23, issue.29, pp.7332-7341, 2005.
DOI : 10.1200/JCO.2005.02.8712

S. Madhavan, J. Zenklusen, Y. Kotliarov, H. Sahni, and H. Fine, Rembrandt: Helping Personalized Medicine Become a Reality through Integrative Translational Research, Molecular Cancer Research, vol.7, issue.2, pp.157-167, 2009.
DOI : 10.1158/1541-7786.MCR-08-0435

D. Louis, H. Ohgaki, O. Wiestler, W. Cavenee, and P. Burger, The 2007 WHO Classification of Tumours of the Central Nervous System, Acta Neuropathologica, vol.64, issue.2, pp.97-109, 2007.
DOI : 10.1007/s00401-007-0243-4

A. Perry, Oligodendroglial Neoplasms: Current Concepts, Misconceptions, and Folklore, Advances in Anatomic Pathology, vol.8, issue.4, pp.183-199, 2001.
DOI : 10.1097/00125480-200107000-00001

C. Daumas-duport, M. Tucker, H. Kolles, P. Cervera, and F. Beuvon, Oligodendrogliomas. Part II: A new grading system based on morphological and imaging criteria, Journal of Neuro-Oncology, vol.34, issue.1, pp.61-78, 1997.
DOI : 10.1023/A:1005759220434

C. Daumas-duport, P. Varlet, M. Tucker, F. Beuvon, and P. Cervera, Oligodendrogliomas. Part I: Patterns of growth, histological diagnosis, clinical and imaging correlations: a study of 153 cases, Journal of Neuro-Oncology, vol.34, issue.1, pp.37-59, 1997.
DOI : 10.1023/A:1005707203596

I. Bieche, B. Parfait, L. Doussal, V. Olivi, M. Rio et al., Identification of CGA as a novel estrogen receptor-responsive gene in breast cancer: an outstanding candidate marker to predict the response to endocrine therapy, Cancer Res, vol.61, pp.1652-1658, 2001.

Y. Benjamini and Y. Hochberg, Controlling the False Discovery Rate: a practical and powerful approach to multiple testing, Journal of the Royal Statistical Society Series B, vol.57, pp.289-300, 1995.

R. Gentleman, V. Carey, D. Bates, B. Bolstad, and M. Dettling, Bioconductor: open software development for computational biology and bioinformatics, Genome Biology, vol.5, issue.10, p.80, 2004.
DOI : 10.1186/gb-2004-5-10-r80

Z. Wu, R. Irizarry, R. Gentleman, F. Martinez-murillo, and F. Spencer, A Model-Based Background Adjustment for Oligonucleotide Expression Arrays, Journal of the American Statistical Association, vol.99, issue.468, pp.909-917, 2004.
DOI : 10.1198/016214504000000683

T. Meißner, A. Seckinger, T. Rème, T. Hielscher, and T. Möhler, Gene Expression Profiling in Multiple Myeloma--Reporting of Entities, Risk, and Targets in Clinical Routine, Clinical Cancer Research, vol.17, issue.23, pp.7240-7247, 2011.
DOI : 10.1158/1078-0432.CCR-11-1628

D. Kostka and R. Spang, Microarray Based Diagnosis Profits from Better Documentation of Gene Expression Signatures, PLoS Computational Biology, vol.19, issue.2, p.22, 2008.
DOI : 10.1371/journal.pcbi.0040022.sg008

R. Tibshirani, T. Hastie, B. Narasimhan, and G. Chu, Diagnosis of multiple cancer types by shrunken centroids of gene expression, Proceedings of the National Academy of Sciences, vol.99, issue.10, pp.6567-6572, 2002.
DOI : 10.1073/pnas.082099299

T. Therneau and P. Grambsch, Modeling Survival Data: Extending the Cox Model, 2000.
DOI : 10.1007/978-1-4757-3294-8