1. Stewart AK, Bergsagel PL, Greipp PR et al A practical guide to defining high-risk myeloma for clinical trials, patient counseling and choice of therapy. Leukemia 2007; 21(3): 529–534.
2. Debes-Marun CS, Dewald GW, Bryant S et al. Chromosome abnormalities clustering and its implications for pathogenesis and prognosis in myeloma. Leukemia 2003; 17(2): 427–436.
3. Harrison CJ, Mazzullo H, Cheung KL et al. Cytogenetics of multiple myeloma: interpretation of fluorescence in situ hybridization results. Br J Haematol 2003; 120(6): 944–952.
4. Fonseca R, Debes-Marun CS, Picken EB et al. The recurrent IgH translocations are highly associated with nonhyperdiploid variant multiple myeloma. Blood 2003; 102(7): 355–357.
5. Moreau P, Facon T, Leleu X et al. Recurrent 14q32 translocations determine the prognosis of multiple myeloma, especially in patients receiving intensive chemotherapy. Blood 2002; 100(5): 1579–1583.
6. Gutiérrez NC, Castellanos MV, Martín ML et al. Prognostic and biological implications of genetic abnormalities in multiple myeloma undergoing autologous stem cell transplantation: t(4;14) is the most relevant adverse prognostic factor, whereas RB deletion as a unique abnormality is not associated with adverse prognosis. Leukemia 2007; 21(1): 143–150.
7. Fonseca R, Barlogie B, Bataille R et al. Genetics and cytogenetics of multiple myeloma: a workshop report. Cancer Res 2004; 64(4): 1546–1558.
8. Smadja NV, Bastard C, Brigaudeau C et al. Hypodiploidy is a major prognostic factor in multiple myeloma. Blood 2001; 98(7): 2229–2238.
9. Sawyer JR, Tricot G, Mattox S et al. Jumping translocations of chromosome 1q in multiple myeloma: evidence for a mechanism involving decondensation of pericentromeric heterochromatin. Blood 1998; 91(5): 1732–1741.
10. Shaughnessy J. Amplification and overexpression of CKS1B at chromosome band 1q21 is associated with reduced levels of p27Kip1 and an aggressive clinical course in multiple myeloma. Hematology 2005; 10 (Suppl 1): 117–126.
11. Solinas-Toldo S, Lampel S, Stilgenbauer S et al. Matrix-based comparative genomic hybridization: biochips to screen for genomic imbalances. Genes Chromosomes Cancer 1997; 20(4): 399–407.
12. De Witte A, Nair M, Mehta K et al. 60-mer Oligo-Based ComparativeGenomic Hybridization.2006. Available from: http://www.chem.agilent.com/Library/applications/CGH_ApplicationNote_5989-4530EN_72dpi(RGB).pdf>.
13. Shinawi M, Cheung SW. The array CGH and its clinical applications. Drug Discov Today 2008; 13(17–18): 760–770.
14. Carter NP. Methods and strategies for analyzing copy number variation using DNA microarrays. Nat Genet 2007; 39 (Suppl 7): S16–S21.
15. Kay NE, Eckel-Passow JE, Braggio E et al. Progressive but previously untreated CLL patients with greater array CGH complexity exhibit a less durable response to chemoimmunotherapy Cancer Genet Cytogenet 2010; 203(2): 161–168.
16. Remke M, Pfister S, Kox C et al. High-resolution genomic profiling of childhood T-ALL reveals frequent copy-number alterations affecting the TGF-beta and PI3K-AKT pathways and deletions at 6q15–16.1 as a genomic marker for unfavorable early treatment response. Blood 2009; 114(5): 1053–1062.
17. Jarosova M, Urbankova H, Plachy R et al. Gain of chromosome 2p in chronic lymphocytic leukemia: significant heterogeneity and a new recurrent dicentric rearrangement. Leuk Lymphoma 2010; 51(2): 304–313.
18. Zhan F, Huang Y, Colla S et al. The molecular classification of multiple myeloma. Blood 2006; 108(6): 2020–2028.
19. Shaughnessy JD Jr, Zhan F, Burington BE et al. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. Blood 2007; 109(6): 2276–2284.
20. Raja KR, Kovarova L, Hajek R. Review of phenotypic markers used in flow cytometric analysis of MGUS and MM, and applicability of flow cytometry in other plasma cell disorders. Br J Haematol 2010; 149(3): 334–351.
21. Keats JJ, Fonseca R, Chesi M et al. Promiscuous mutations activate the noncanonical NF-kappaB pathway in multiple myeloma. Cancer Cell 2007; 12(2): 131–144.
22. Carter NP. Methods and strategies for analyzing copy number variation using DNA microarrays. Nat Genet 2007; 39 (Suppl 7): S16–S21.
23. Theisen A. Microarray-based comparative genomic hybridization (aCGH). 2008. Nature Education 1(1). Available from: http://www.nature.com/scitable/topicpage/microarray-based-comparative-genomic-hybridization-acgh-45432>.
24. Fonseca R, Bergsagel PL, Drach J et al. International Myeloma Working Group molecular classification of multiple myeloma: spotlight review. Leukemia 2009; 23(12): 2210–2221.
25. Largo C, Saéz B, Alvarez S et al. Multiple myeloma primary cells show a highly rearranged unbalanced genome with amplifications and homozygous deletions irrespective of the presence of immunoglobulin-related chromosome translocations. Haematologica 2006; 92(6): 795–802.
26. Avet-Loiseau H, Andree-Ashley LE, Moore D 2nd et al. Molecular cytogenetic abnormalities in multiple myeloma and plasma cell leukemia measured using comparative genomic hybridization. Genes Chromosomes Cancer 1997; 19(2): 124–133.
27. Gutiérrez NC, Hernández JM, García JL et al. Differences in genetic changes between multiple myeloma and plasma cell leukemia demonstrated by comparative genomic hybridization. Leukemia 2001; 15(5): 840–845.
28. Liebisch P, Viardot A, Bassermann N et al. Value of comparative genomic hybridization and fluorescence in situ hybridization for molecular diagnostics in multiple myeloma. Br J Haematol 2003; 122(2): 193–201.
29. Gutiérrez NC, García JL, Hernández JM et al. Prognostic and biologic significance of chromosomal imbalances assessed by comparative genomic hybridization in multiple myeloma. Blood 2004; 104(9): 2661–2666.
30. Carrasco D, Tonon G, Huang Y et al. High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients. Cancer Cell 2006; 9(4): 313–325.
31. Chng WJ, Gertz MA, Chung T et al. Correlation between array-comparative genomic hybridization-defined genomic gains and losses and survival: identification of 1p31–32 deletion as a prognostic factor in myeloma. Leukemia 2010; 24(4): 833–842.
32. Avet-Loiseau H, Leleu X, Roussel M et al. Bortezomib plus dexamethasone induction improves outcome of patients with t(4;14) myeloma but not outcome of patients with del(17p). J Clin Oncol 2010; 28(30): 4630–4634.
33. Avet-Loiseau H, Attal M, Moreau P et al. Genetic abnormalities and survival in multiple myeloma: the experience of the Intergroupe Francophone du Myelome. Blood 2007; 109(8): 3489–3495.
34. Campbell PJ, Stephens PJ, Pleasance ED et al. Identification of somatically acquired rearrangements in cancer using genome-wide massively parallel paired-end sequencing. Nat Genet 2008; 40(6): 722–729.
35. Chapman MA, Lawrence MS, Keats JJ et al. Initial genome sequencing and analysis of multiple myeloma. Nature 2011; 471(7339): 467–472.