A. Vigano, M. Dorgan, J. Buckingham, E. Bruera, and M. Suarez-almazor, Survival prediction in terminal cancer patients: a systematic review of the medical literature, Palliative Medicine, vol.10, issue.3, pp.363-374, 2000.
DOI : 10.1191/026921600701536192

C. Williams, S. Brunskill, D. Altman, A. Briggs, H. Campbell et al., Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy, Health Technology Assessment, vol.10, issue.34, pp.1-204, 2006.
DOI : 10.3310/hta10340

C. Kim and S. Paik, Gene-expression-based prognostic assays for breast cancer, Nature Reviews Clinical Oncology, vol.10, issue.6, pp.340-347, 2010.
DOI : 10.1038/nrclinonc.2010.61

M. Van-de-vijver, Y. He, L. Van-'t-veer, H. Dai, A. Hart et al., A Gene-Expression Signature as a Predictor of Survival in Breast Cancer, New England Journal of Medicine, vol.347, issue.25, pp.3471999-2009, 2002.
DOI : 10.1056/NEJMoa021967

O. Decaux, L. Lodé, F. Magrangeas, C. Charbonnel, W. Gouraud et al., Prediction of Survival in Multiple Myeloma Based on Gene Expression Profiles Reveals Cell Cycle and Chromosomal Instability Signatures in High-Risk Patients and Hyperdiploid Signatures in Low-Risk Patients: A Study of the Intergroupe Francophone du My??lome, Journal of Clinical Oncology, vol.26, issue.29, pp.264798-4805, 2008.
DOI : 10.1200/JCO.2007.13.8545

S. Carter, A. Eklund, I. Kohane, L. Harris, and Z. Szallasi, A signature of chromosomal instability inferred from gene expression profiles predicts clinical outcome in multiple human cancers, Nature Genetics, vol.1, issue.9, pp.1043-1048, 2006.
DOI : 10.1038/nrc1802

H. Avet-loiseau, C. Li, F. Magrangeas, W. Gouraud, C. Charbonnel et al., Prognostic Significance of Copy-Number Alterations in Multiple Myeloma, Journal of Clinical Oncology, vol.27, issue.27, pp.274585-4590, 2009.
DOI : 10.1200/JCO.2008.20.6136

Y. Zhang, J. Martens, Y. J. Jiang, J. Sieuwerts, A. Smid et al., Copy Number Alterations that Predict Metastatic Capability of Human Breast Cancer, Cancer Research, vol.69, issue.9, pp.3795-3801, 2009.
DOI : 10.1158/0008-5472.CAN-08-4596

A. Schetter, S. Leung, J. Sohn, K. Zanetti, E. Bowman et al., MicroRNA Expression Profiles Associated With Prognosis and Therapeutic Outcome in Colon Adenocarcinoma, JAMA, vol.299, issue.4, pp.425-436, 2008.
DOI : 10.1001/jama.299.4.425

J. Ji, J. Shi, A. Budhu, Z. Yu, M. Forgues et al., MicroRNA Expression, Survival, and Response to Interferon in Liver Cancer, New England Journal of Medicine, vol.361, issue.15, pp.3611437-1447, 2009.
DOI : 10.1056/NEJMoa0901282

R. Simon, A. Lam, M. Li, M. Ngan, S. Menenzes et al., Analysis of gene expression data using BRB-ArrayTools, Cancer Inform, vol.3, pp.11-17, 2007.

L. Corradi, V. Mirisola, I. Porro, L. Torterolo, M. Fato et al., Survival Online: a web-based service for the analysis of correlations between gene expression and clinical and follow-up data, BMC Bioinformatics, vol.10, issue.Suppl 12, pp.10-10, 2009.
DOI : 10.1186/1471-2105-10-S12-S10

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.996567-6572, 2002.
DOI : 10.1073/pnas.082099299

C. Li, S. Amin, J. Fan, X. Lin, and J. Liu, Analysis of Cancer Genome Alterations Using Single Nucleotide Polymorphism (SNP) Microarrays, Frontiers of Statistics, vol.1, pp.209-238, 2009.
DOI : 10.1142/9789812837448_0009

C. Li and W. Wong, Model-based analysis of oligonucleotide arrays: Expression index computation and outlier detection, Proceedings of the National Academy of Sciences, vol.98, issue.1, pp.31-36, 2001.
DOI : 10.1073/pnas.98.1.31

X. Zhao, C. Li, J. Paez, K. Chin, P. Janne et al., An Integrated View of Copy Number and Allelic Alterations in the Cancer Genome Using Single Nucleotide Polymorphism Arrays, Cancer Research, vol.64, issue.9, pp.3060-3071, 2004.
DOI : 10.1158/0008-5472.CAN-03-3308

R. Fonseca, B. Barlogie, R. Bataille, C. Bastard, P. Bergsagel et al., Genetics and Cytogenetics of Multiple Myeloma: A Workshop Report, Cancer Research, vol.64, issue.4, pp.1546-1558, 2004.
DOI : 10.1158/0008-5472.CAN-03-2876

O. Hofmann, O. Caballero, B. Stevenson, Y. Chen, T. Cohen et al., Genome-wide analysis of cancer/testis gene expression, Proceedings of the National Academy of Sciences, vol.105, issue.51, pp.10520422-20427, 2008.
DOI : 10.1073/pnas.0810777105

R. Wittig, M. Nessling, R. Will, J. Mollenhauer, R. Salowsky et al., Candidate genes for cross-resistance against DNA-damaging drugs, Cancer Res, issue.22, pp.626698-6705, 2002.

P. Westfall and S. Young, Resampling-based multiple testing: examples and methods for P-value adjustment, 1993.

. Amin, The dChip survival analysis module for microarray data, BMC Bioinformatics, vol.12, issue.1, p.72, 2011.
DOI : 10.1073/pnas.0810777105

URL : https://hal.archives-ouvertes.fr/inserm-00622802