Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

Understanding multiple myeloma pathogenesis in the bone marrow to identify new therapeutic targets

Key Points

  • Multiple myeloma is a currently incurable B-cell malignancy characterized by excess monotypic plasma cells in the bone marrow in association with an excess of monoclonal protein in serum and/or urine.

  • Multiple myeloma has complex heterogeneous cytogenetic abnormalities. Approximately 55–60% of patients have a hyperdiploid karyotype, which confers a better prognosis than those with non-hyperdiploid disease. Most non-hyperdiploid tumours have IgH translocations that involve several recurrent chromosomal loci, including 11q13 (cyclin D1), 6p21 (cyclin D3), 4p16 (FGFR3 and MMSET), 16q23 (MAF) and 20q11 (MAFB). Recent genomic and expression-profiling studies have both identified new therapeutic targets and provided the framework for a genetically based prognostic classification of multiple myeloma.

  • These constitutive genetic alterations in multiple myeloma cells and changes in gene-expression profiles mediate the protective effects of the bone marrow microenvironment on multiple myeloma cells.

  • Multiple myeloma cells that home to the bone marrow have important functional sequelae. Specifically, the adhesion of multiple myeloma cells to extracellular matrix proteins confers cell adhesion-mediated drug resistance (CAMDR), and the binding of multiple myeloma cells to bone marrow accessory cells triggers the secretion of cytokines, which not only promote growth, survival and migration of multiple myeloma cells, but also confer resistance to conventional chemotherapy. Targeting these mechanisms offers a potential therapeutic strategy to overcome drug resistance.

  • Several factors, including MIP1α and RANKL, stimulate osteoclast activity; on the other hand, DKK1 inhibits osteoblastogenesis in multiple myeloma. This imbalance between bone formation and resorption results in osteolytic lesions, which are a hallmark of multiple myeloma.

  • New agents that target multiple myeloma cells, tumour–bone marrow interactions, or the bone marrow milieu, used alone or in combination, have shown promise in overcoming conventional drug resistance and improving patient outcome in multiple myeloma. Oncogenomics will allow for both patient selection and rational combination therapeutics.

Abstract

Multiple myeloma is a plasma cell malignancy characterized by complex heterogeneous cytogenetic abnormalities. The bone marrow microenvironment promotes multiple myeloma cell growth and resistance to conventional therapies. Although multiple myeloma remains incurable, novel targeted agents, used alone or in combination, have shown great promise to overcome conventional drug resistance and improve patient outcome. Recent oncogenomic studies have further advanced our understanding of the molecular pathogenesis of multiple myeloma, providing the framework for new prognostic classification and identifying new therapeutic targets.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Interaction of multiple myeloma cells in their bone marrow milieu.
Figure 2: Impact of multiple myeloma cell–bone marrow interactions on the molecular profile of multiple myeloma cells.
Figure 3: Murine models used for the validation of new targeted therapies.

Similar content being viewed by others

References

  1. Kyle, R. A. & Rajkumar, S. V. Monoclonal gammopathy of undetermined significance. Br. J. Haematol. 134, 573–589 (2006).

    Article  CAS  PubMed  Google Scholar 

  2. Ries, L. A. G. et al. (eds). SEER Cancer Statistics Review, 1975–2004 (National Cancer Institute, Bethesda, USA, 2007).

    Google Scholar 

  3. Kyle, R. A. & Rajkumar, S. V. Multiple myeloma. N. Engl. J. Med. 351, 1860–1873 (2004).

    Article  CAS  PubMed  Google Scholar 

  4. Singhal, S. et al. Antitumor activity of thalidomide in refractory multiple myeloma. N. Engl. J. Med. 341, 1565–1571 (1999).

    Article  CAS  PubMed  Google Scholar 

  5. Richardson, P. G. et al. Immunomodulatory drug CC-5013 overcomes drug resistance and is well tolerated in patients with relapsed multiple myeloma. Blood 100, 3063–3067 (2002).

    Article  CAS  PubMed  Google Scholar 

  6. Richardson, P. G. et al. A phase 2 study of bortezomib in relapsed, refractory myeloma. N. Engl. J. Med. 348, 2609–2617 (2003). Report of a phase III clinical trial that first demonstrated that a proteasome inhibitor, bortezomib, achieves responses in advanced multiple myeloma.

    Article  CAS  PubMed  Google Scholar 

  7. Richardson, P. G. et al. Bortezomib or high-dose dexamethasone for relapsed multiple myeloma. N. Engl. J. Med. 352, 2487–2498 (2005).

    Article  CAS  PubMed  Google Scholar 

  8. Gonzalez-Paz, N. et al. Tumor suppressor p16 methylation in multiple myeloma: biological and clinical implications. Blood 109, 1228–1232 (2007).

    Article  CAS  PubMed  Google Scholar 

  9. Pompeia, C. et al. Microarray analysis of epigenetic silencing of gene expression in the KAS-6/1 multiple myeloma cell line. Cancer Res. 64, 3465–3473 (2004).

    Article  CAS  PubMed  Google Scholar 

  10. Takahashi, T. et al. DNA methylation profiles of lymphoid and hematopoietic malignancies. Clin. Cancer Res. 10, 2928–2935 (2004).

    Article  CAS  PubMed  Google Scholar 

  11. Carrasco, D. R. et al. High-resolution genomic profiles define distinct clinico-pathogenetic subgroups of multiple myeloma patients. Cancer Cell 9, 313–325 (2006). The first high-resolution genomic analysis of multiple myeloma cell lines and patient samples. This work provides a classification based on aCGH profiles, and a list of potential oncogenes based on the merging of expression profiling with aCGH data.

    Article  CAS  PubMed  Google Scholar 

  12. Smadja, N. V. et al. Chromosomal analysis in multiple myeloma: cytogenetic evidence of two different diseases. Leukemia 12, 960–969 (1998). The first report on the existence of two patterns of cytogenetic abnormalities in multiple myeloma, hyperdiploid and non-hyperdiploid.

    Article  CAS  PubMed  Google Scholar 

  13. Debes-Marun, C. S. et al. Chromosome abnormalities clustering and its implications for pathogenesis and prognosis in myeloma. Leukemia 17, 427–436 (2003).

    Article  CAS  PubMed  Google Scholar 

  14. Chng, W. J. et al. Ploidy status rarely changes in myeloma patients at disease progression. Leuk. Res. 30, 266–271 (2006).

    Article  CAS  PubMed  Google Scholar 

  15. Fassas, A. B. et al. Both hypodiploidy and deletion of chromosome 13 independently confer poor prognosis in multiple myeloma. Br. J. Haematol. 118, 1041–1047 (2002).

    Article  CAS  PubMed  Google Scholar 

  16. Smadja, N. V., Bastard, C., Brigaudeau, C., Leroux, D. & Fruchart, C. Hypodiploidy is a major prognostic factor in multiple myeloma. Blood 98, 2229–2238 (2001).

    Article  CAS  PubMed  Google Scholar 

  17. Zhan, F. et al. The molecular classification of multiple myeloma. Blood 108, 2020–2028 (2006). This work provides a new classification of patients with multiple myeloma based on a comprehensive expression analysis of 414 newly diagnosed patients.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Avet-Loiseau, H. et al. Genetic abnormalities and survival in multiple myeloma: the experience of the Intergroupe Francophone du Myelome. Blood 109, 3489–3495 (2007).

    Article  CAS  PubMed  Google Scholar 

  19. Bergsagel, P. L. et al. Promiscuous translocations into immunoglobulin heavy chain switch regions in multiple myeloma. Proc. Natl Acad. Sci. USA 93, 13931–13936 (1996). A landmark paper reporting the first description of frequent translocations into the IgH switch regions in multiple myeloma.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Fonseca, R. et al. The recurrent IgH translocations are highly associated with nonhyperdiploid variant multiple myeloma. Blood 102, 2562–2567 (2003).

    Article  CAS  PubMed  Google Scholar 

  21. Bergsagel, P. L. & Kuehl, W. M. Chromosome translocations in multiple myeloma. Oncogene 20, 5611–5622 (2001). An excellent review of the mechanisms and consequences of chromosomal translocations in multiple myeloma.

    Article  CAS  PubMed  Google Scholar 

  22. Gabrea, A., Bergsagel, P. L., Chesi, M., Shou, Y. & Kuehl, W. M. Insertion of excised IgH switch sequences causes overexpression of cyclin D1 in a myeloma tumor cell. Mol. Cell 3, 119–123 (1999).

    Article  CAS  PubMed  Google Scholar 

  23. Chesi, M. et al. Dysregulation of cyclin D1 by translocation into an IgH γ switch region in two multiple myeloma cell lines. Blood 88, 674–681 (1996).

    CAS  PubMed  Google Scholar 

  24. Shaughnessy, J. Jr. et al. Cyclin D3 at 6p21 is dysregulated by recurrent chromosomal translocations to immunoglobulin loci in multiple myeloma. Blood 98, 217–223 (2001).

    Article  CAS  PubMed  Google Scholar 

  25. Chesi, M. et al. Frequent translocation t(4;14)(p16. 3;q32. 3) in multiple myeloma: association with increased expression and activating mutations of fibroblast growth factor receptor 3. Nature Genet. 16, 260–264 (1997).

    Article  CAS  PubMed  Google Scholar 

  26. Chesi, M. et al. Frequent dysregulation of the c-maf proto-oncogene at 16q23 by translocation to an Ig locus in multiple myeloma. Blood 91, 4457–463 (1998).

    CAS  PubMed  Google Scholar 

  27. Chesi, M. et al. The t(4;14) translocation in myeloma dysregulates both FGFR3 and a novel gene, MMSET, resulting in IgH/MMSET hybrid transcripts. Blood 92, 3025–3034 (1998).

    CAS  PubMed  Google Scholar 

  28. Hurt, E. M. et al. Overexpression of c-maf is a frequent oncogenic event in multiple myeloma that promotes proliferation and pathological interactions with bone marrow stroma. Cancer Cell 5, 191–199 (2004).

    Article  CAS  PubMed  Google Scholar 

  29. Bergsagel, P. L. & Kuehl, W. M. Molecular pathogenesis and a consequent classification of multiple myeloma. J. Clin. Oncol. 23, 6333–6338 (2005).

    Article  CAS  PubMed  Google Scholar 

  30. Trudel, S. et al. Inhibition of fibroblast growth factor receptor 3 induces differentiation and apoptosis in t(4;14) myeloma. Blood 103, 3521–3528 (2004).

    Article  CAS  PubMed  Google Scholar 

  31. Trudel, S. et al. The inhibitory anti-FGFR3 antibody, PRO-001, is cytotoxic to t(4;14) multiple myeloma cells. Blood 107, 4039–4046 (2006).

    Article  CAS  PubMed  Google Scholar 

  32. Keats, J. J. et al. In multiple myeloma, t(4;14)(p16;q32) is an adverse prognostic factor irrespective of FGFR3 expression. Blood 101, 1520–1529 (2003).

    Article  CAS  PubMed  Google Scholar 

  33. Santra, M., Zhan, F., Tian, E., Barlogie, B. & Shaughnessy, J. Jr . A subset of multiple myeloma harboring the t(4;14)(p16;q32) translocation lacks FGFR3 expression but maintains an IGH/MMSET fusion transcript. Blood 101, 2374–2376 (2003).

    Article  CAS  PubMed  Google Scholar 

  34. Smadja, N. V. et al. Further cytogenetic characterization of multiple myeloma confirms that 14q32 translocations are a very rare event in hyperdiploid cases. Genes Chromosomes Cancer 38, 234–239 (2003).

    Article  PubMed  Google Scholar 

  35. Moreau, P. et al. Recurrent 14q32 translocations determine the prognosis of multiple myeloma, especially in patients receiving intensive chemotherapy. Blood 100, 1579–1583 (2002).

    Article  CAS  PubMed  Google Scholar 

  36. Fonseca, R. et al. Myeloma and the t(11;14)(q13;q32); evidence for a biologically defined unique subset of patients. Blood 99, 3735–3741 (2002).

    Article  CAS  PubMed  Google Scholar 

  37. Avet-Loiseau, H. et al. Cytogenetic, interphase, and multicolor fluorescence in situ hybridization analyses in primary plasma cell leukemia: a study of 40 patients at diagnosis, on behalf of the Intergroupe Francophone du Myelome and the Groupe Francais de Cytogenetique Hematologique. Blood 97, 822–825 (2001).

    Article  CAS  PubMed  Google Scholar 

  38. Fonseca, R. et al. Clinical and biologic implications of recurrent genomic aberrations in myeloma. Blood 101, 4569–4575 (2003).

    Article  CAS  PubMed  Google Scholar 

  39. Bergsagel, P. L. et al. Cyclin D dysregulation: an early and unifying pathogenic event in multiple myeloma. Blood 106, 296–303 (2005). This work provides a comprehensive analysis of the role of cyclin dysregulation in multiple myeloma, and proposes a multiple myeloma classification, the TC (translocation/cyclin D) classification, based on translocations and associated dysregulation of specific cyclins.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Hanamura, I. et al. Frequent gain of chromosome band 1q21 in plasma-cell dyscrasias detected by fluorescence in situ hybridization: incidence increases from MGUS to relapsed myeloma and is related to prognosis and disease progression following tandem stem-cell transplantation. Blood 108, 1724–1732 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Shou, Y. et al. Diverse karyotypic abnormalities of the c-myc locus associated with c-myc dysregulation and tumor progression in multiple myeloma. Proc. Natl Acad. Sci. USA 97, 228–233 (2000).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Kuehl, W. M. & Bergsagel, P. L. Multiple myeloma: evolving genetic events and host interactions. Nature Rev. Cancer 2, 175–187 (2002). An excellent review on the genetics of multiple myeloma.

    Article  CAS  Google Scholar 

  43. Stewart, A. K. & Fonseca, R. Prognostic and therapeutic significance of myeloma genetics and gene expression profiling. J. Clin. Oncol. 23, 6339–6344 (2005).

    Article  CAS  PubMed  Google Scholar 

  44. Shaughnessy, J. D. Jr. et al. A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1. Blood 109, 2276–2284 (2007).

    Article  CAS  PubMed  Google Scholar 

  45. Jagannath, S. et al. Bortezomib appears to overcome the poor prognosis conferred by chromosome 13 deletion in phase 2 and 3 trials. Leukemia 21, 151–157 (2007).

    Article  CAS  PubMed  Google Scholar 

  46. Largo, C. et al. Identification of overexpressed genes in frequently gained/amplified chromosome regions in multiple myeloma. Haematologica 91, 184–191 (2006).

    CAS  PubMed  Google Scholar 

  47. Intini, D. et al. Analysis of FGFR3 gene mutations in multiple myeloma patients with t(4;14). Br. J. Haematol. 114, 362–364 (2001).

    Article  CAS  PubMed  Google Scholar 

  48. Chesi, M. et al. Activated fibroblast growth factor receptor 3 is an oncogene that contributes to tumor progression in multiple myeloma. Blood 97, 729–736 (2001).

    Article  CAS  PubMed  Google Scholar 

  49. Corradini, P. et al. Mutational activation of N- and K- ras oncogenes in plasma cell dyscrasias. Blood 81, 2708–2713 (1993).

    CAS  PubMed  Google Scholar 

  50. Bezieau, S. et al. High incidence of N and K-Ras activating mutations in multiple myeloma and primary plasma cell leukemia at diagnosis. Hum. Mutat. 18, 212–224 (2001).

    Article  CAS  PubMed  Google Scholar 

  51. Fonseca, R. et al. Genomic abnormalities in monoclonal gammopathy of undetermined significance. Blood 100, 1417–1424 (2002).

    CAS  PubMed  Google Scholar 

  52. Zhan, F. et al. Gene-expression signature of benign monoclonal gammopathy evident in multiple myeloma is linked to good prognosis. Blood 109, 1692–700 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Keats, J. J., Reiman, T., Belch, A. R. & Pilarski, L. M. Ten years and counting: so what do we know about t(4;14)(p16;q32) multiple myeloma. Leuk. Lymphoma 47, 2289–2300 (2006).

    Article  CAS  PubMed  Google Scholar 

  54. Mitsiades, C. S. et al. In vitro and in vivo molecular profiling of multiple myeloma (MM) cell interaction with bone marrow (BM) microenvironment: insight into the role of novel anti-MM agents in counteracting BM-mediated drug-resistance in MM. Blood 102, 441a (2003).

    Google Scholar 

  55. Damiano, J. S., Cress, A. E., Hazlehurst, L. A., Shtil, A. A. & Dalton, W. S. Cell adhesion mediated drug resistance (CAM-DR): role of integrins and resistance to apoptosis in human myeloma cell lines. Blood 93, 1658–1667 (1999). This work demonstrates the concept of CAMDR, which overcomes conventional treatment in multiple myeloma.

    CAS  PubMed  Google Scholar 

  56. Akiyama, M. et al. Cytokines modulate telomerase activity in a human multiple myeloma cell line. Cancer Res. 62, 3876–3882 (2002).

    CAS  PubMed  Google Scholar 

  57. Chauhan, D. et al. Blockade of ubiquitin-conjugating enzyme CDC34 enhances anti-myeloma activity of Bortezomib/Proteasome inhibitor PS-341. Oncogene 23, 3597–3602 (2004).

    Article  CAS  PubMed  Google Scholar 

  58. Hideshima, T. et al. Perifosine, an oral bioactive novel alkylphospholipid, inhibits Akt and induces in vitro and in vivo cytotoxicity in human multiple myeloma cells. Blood 107, 4053–4062 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  59. Mitsiades, C. S., Mitsiades, N. S., Munshi, N. C., Richardson, P. G. & Anderson, K. C. The role of the bone microenvironment in the pathophysiology and therapeutic management of multiple myeloma: interplay of growth factors, their receptors and stromal interactions. Eur. J. Cancer 42, 1564–1573 (2006).

    Article  CAS  PubMed  Google Scholar 

  60. Freund, G. G., Kulas, D. T. & Mooney, R. A. Insulin and IGF-1 increase mitogenesis and glucose metabolism in the multiple myeloma cell line, RPMI 8226. J. Immunol. 151, 1811 (1993).

    CAS  PubMed  Google Scholar 

  61. Vanderkerken, K., Asosingh, K., Braet, F., Van Riet, I. & Van Camp, B. Insulin-like growth factor-1 acts as a chemoattractant factor for 5T2 multiple myeloma cells. Blood 93, 235–241 (1999).

    CAS  PubMed  Google Scholar 

  62. Podar, K. et al. Vascular endothelial growth factor triggers signaling cascades mediating multiple myeloma cell growth and migration. Blood 98, 428–435 (2001).

    Article  CAS  PubMed  Google Scholar 

  63. Podar, K. et al. Vascular endothelial growth factor-induced migration of multiple myeloma cells is associated with beta 1 integrin- and phosphatidylinositol 3-kinase-dependent PKCα activation. J. Biol. Chem. 277, 7875–7881 (2002).

    Article  CAS  PubMed  Google Scholar 

  64. Hideshima, T. et al. The biological sequelae of stromal cell-derived factor-1α in multiple myeloma. Mol. Cancer Ther. 1, 539–544 (2002).

    Article  CAS  PubMed  Google Scholar 

  65. Mitsiades, C. S. et al. Inhibition of the insulin-like growth factor receptor-1 tyrosine kinase activity as a therapeutic strategy for multiple myeloma, other hematologic malignancies, and solid tumors. Cancer Cell 5, 221–230 (2004).

    Article  CAS  PubMed  Google Scholar 

  66. L'Hote, C. G. & Knowles, M. A. Cell responses to FGFR3 signalling: growth, differentiation and apoptosis. Exp. Cell Res. 304, 417–4131 (2005).

    Article  CAS  PubMed  Google Scholar 

  67. Otsuki, T. et al. Expression of fibroblast growth factor and FGF-receptor family genes in human myeloma cells, including lines possessing t(4;14)(q16. 3;q32. 3) and FGFR3 translocation. Int. J. Oncol. 15, 1205–1212 (1999).

    CAS  PubMed  Google Scholar 

  68. Chauhan, D. et al. Multiple myeloma cell adhesion-induced interleukin-6 expression in bone marrow stromal cells involves activation of NF-κB. Blood 87, 1104–1112 (1996). This is the first study to demonstrate that transcription and secretion of IL6 from BMSCs are modulated by NFκB.

    CAS  PubMed  Google Scholar 

  69. Chauhan, D. et al. A novel orally active proteasome inhibitor induces apoptosis in multiple myeloma cells with mechanisms distinct from Bortezomib. Cancer Cell 8, 407–419 (2005).

    Article  CAS  PubMed  Google Scholar 

  70. Moreaux, J. et al. BAFF and APRIL protect myeloma cells from apoptosis induced by interleukin 6 deprivation and dexamethasone. Blood 103, 3148–3157 (2004).

    Article  CAS  PubMed  Google Scholar 

  71. Hideshima, T. & Anderson, K. C. Molecular mechanisms of novel therapeutic approaches for multiple myeloma. Nature Rev. Cancer 2, 927–937 (2002).

    Article  CAS  Google Scholar 

  72. Hideshima, T., Bergsagel, P. L., Kuehl, W. M. & Anderson, K. C. Advances in biology of multiple myeloma: clinical applications. Blood 104, 607–618 (2004).

    Article  CAS  PubMed  Google Scholar 

  73. Roodman, G. D. Pathogenesis of myeloma bone disease. Blood Cells Mol. Dis. 32, 290–292 (2004).

    Article  CAS  PubMed  Google Scholar 

  74. Roodman, G. D. New potential targets for treating myeloma bone disease. Clin. Cancer Res. 12, 6270s–6273s (2006).

    Article  CAS  PubMed  Google Scholar 

  75. Jakob, C. et al. Angiogenesis in multiple myeloma. Eur. J. Cancer 42, 1581–1590 (2006).

    Article  CAS  PubMed  Google Scholar 

  76. Ribatti, D., Nico, B. & Vacca, A. Importance of the bone marrow microenvironment in inducing the angiogenic response in multiple myeloma. Oncogene 25, 4257–4266 (2006).

    Article  CAS  PubMed  Google Scholar 

  77. De Clercq, E. Potential clinical applications of the CXCR4 antagonist bicyclam AMD3100. Mini Rev. Med. Chem. 5, 805–824 (2005).

    Article  CAS  PubMed  Google Scholar 

  78. Alsayed, Y. et al. Mechanisms of regulation of CXCR4/SDF-1 (CXCL12) dependent migration and homing in multiple myeloma. Blood 109, 2708–2717 (2006).

    Google Scholar 

  79. Landowski, T. H., Olashaw, N. E., Agrawal, D. & Dalton, W. S. Cell adhesion-mediated drug resistance (CAM-DR) is associated with activation of NFκB (RelB/p50) in myeloma cells. Oncogene 22, 2417–2421 (2003).

    Article  CAS  PubMed  Google Scholar 

  80. Damiano, J. S. & Dalton, W. S. Integrin-mediated drug resistance in multiple myeloma. Leuk. Lymphoma 38, 71–81 (2000).

    Article  CAS  PubMed  Google Scholar 

  81. Hazlehurst, L. A., Damiano, J. S., Buyuksal, I., Pledger, W. J. & Dalton, W. S. Adhesion to fibronectin via β1 integrins regulates p27kip1 levels and contributes to cell adhesion mediated drug resistance (CAM-DR). Oncogene 19, 4319–4327 (2000).

    Article  CAS  PubMed  Google Scholar 

  82. Hazlehurst, L. A. et al. Genotypic and phenotypic comparisons of de novo and acquired melphalan resistance in an isogenic multiple myeloma cell line model. Cancer Res. 63, 7900–7906 (2003).

    CAS  PubMed  Google Scholar 

  83. Lwin, T. et al. Cell adhesion induces p27Kip1-associated cell-cycle arrest through down-regulation of the SCFSkp2 ubiquitin ligase pathway in mantle cell and other non-Hodgkin's B-cell lymphomas. Blood 14 May 2007 (epub ahead of print).

  84. Sanderson, R. D., Turnbull, J. E., Gallagher, J. T. & Lander, A. D. Fine structure of heparan sulfate regulates syndecan-1 function and cell behavior. J. Biol. Chem. 269, 13100–13106 (1994).

    CAS  PubMed  Google Scholar 

  85. Yang, Y. et al. Soluble syndecan-1 promotes growth of myeloma tumors in vivo. Blood 100, 610–617 (2002).

    Article  CAS  PubMed  Google Scholar 

  86. Yang, Y. et al. Heparanase enhances syndecan-1 shedding: a novel mechanism for stimulation of tumor growth and metastasis. J. Biol. Chem. 282, 13326–13333 (2007).

    Article  CAS  PubMed  Google Scholar 

  87. Hideshima, T., Chauhan, D., Schlossman, R. L., Richardson, P. R. & Anderson, K. C. Role of TNF-a in the pathophysiology of human multiple myeloma: therapeutic applications. Oncogene 20, 4519–4527 (2001).

    Article  CAS  PubMed  Google Scholar 

  88. Urashima, M. et al. Transforming growth factor b1: differential effects on multiple myeloma versus normal B cells. Blood 87, 1928–1938 (1996).

    CAS  PubMed  Google Scholar 

  89. Dankbar, B. et al. Vascular endothelial growth factor and interleukin-6 in paracrine tumor-stromal cell interactions in multiple myeloma. Blood 95, 2630–2636 (2000).

    CAS  PubMed  Google Scholar 

  90. Gupta, D. et al. Adherence of multiple myeloma cells to bone marrow stromal cells upregulates vascular endothelial growth factor secretion: therapeutic applications. Leukemia 15, 1950–1561 (2001).

    Article  CAS  PubMed  Google Scholar 

  91. Urashima, M., Chauhan, D., Uchiyama, H., Freeman, G. J. & Anderson, K. C. CD40 ligand triggered interleukin-6 secretion in multiple myeloma. Blood 85, 1903–1912 (1995).

    CAS  PubMed  Google Scholar 

  92. Tai, Y. T. et al. Mechanisms by which SGN-40, a humanized anti-CD40 antibody, induces cytotoxicity in human multiple myeloma cells: clinical implications. Cancer Res. 64, 2846–2852 (2004).

    Article  CAS  PubMed  Google Scholar 

  93. Tai, Y. T. et al. Human anti-CD40 antagonist antibody triggers significant antitumor activity against human multiple myeloma. Cancer Res. 65, 5898–5906 (2005).

    Article  CAS  PubMed  Google Scholar 

  94. Hideshima, T. et al. The proteasome inhibitor PS-341 inhibits growth, induces apoptosis, and overcomes drug resistance in human multiple myeloma cells. Cancer Res. 61, 3071–3076 (2001).

    CAS  PubMed  Google Scholar 

  95. Bergsagel, P. L. & Kuehl, W. M. Critical roles for immunoglobulin translocations and cyclin D dysregulation in multiple myeloma. Immunol. Rev. 194, 96–104 (2003).

    Article  CAS  PubMed  Google Scholar 

  96. Vacca, A. et al. Bone marrow neovascularization, plasma cell angiogenic potential, and matrix metalloproteinase-2 secretion parallel progression of human multiple myeloma. Blood 93, 3064–3073 (1999).

    CAS  PubMed  Google Scholar 

  97. Roccaro, A. M. et al. Bortezomib mediates antiangiogenesis in multiple myeloma via direct and indirect effects on endothelial cells. Cancer Res. 66, 184–191 (2006).

    Article  CAS  PubMed  Google Scholar 

  98. Kline, M. et al. Cytokine and chemokine profiles in multiple myeloma; significance of stromal interaction and correlation of IL-8 production with disease progression. Leuk. Res. 31, 591–598 (2007).

    Article  CAS  PubMed  Google Scholar 

  99. Rajkumar, S. V. et al. Bone marrow angiogenesis in 400 patients with monoclonal gammopathy of undetermined significance, multiple myeloma, and primary amyloidosis. Clin. Cancer Res. 8, 2210–2216 (2002).

    PubMed  Google Scholar 

  100. Andersen, N. F. et al. Syndecan-1 and angiogenic cytokines in multiple myeloma: correlation with bone marrow angiogenesis and survival. Br. J. Haematol. 128, 210–217 (2005).

    Article  CAS  PubMed  Google Scholar 

  101. Vacca, A. et al. Endothelial cells in the bone marrow of patients with multiple myeloma. Blood 102, 3340–3348 (2003).

    Article  CAS  PubMed  Google Scholar 

  102. Vacca, A. et al. Thalidomide downregulates angiogenic genes in bone marrow endothelial cells of patients with active multiple myeloma. J. Clin. Oncol. 23, 5334–5346 (2005).

    Article  CAS  PubMed  Google Scholar 

  103. Ribatti, D. & Vacca, A. Novel therapeutic approaches targeting vascular endothelial growth factor and its receptors in haematological malignancies. Curr. Cancer Drug Targets 5, 573–578 (2005).

    Article  CAS  PubMed  Google Scholar 

  104. Mundy, G. R., Raisz, L., G,, Cooper, R. A., Schecter, G. P. & Salmon, S. E. Evidence for the secretion of an osteoclast stimulating factor in myeloma. N. Engl. J. Med. 291, 1041–1046 (1974).

    Article  CAS  PubMed  Google Scholar 

  105. Yaccoby, S. et al. Myeloma interacts with the bone marrow microenvironment to induce osteoclastogenesis and is dependent on osteoclast activity. Br. J. Haematol. 116, 278–290 (2002).

    Article  PubMed  Google Scholar 

  106. Gori, F. et al. The expression of osteoprotegerin and RANK ligand and the support of osteoclast formation by stromal-osteoblast lineage cells is developmentally regulated. Endocrinology 141, 4768–4776 (2000).

    Article  CAS  PubMed  Google Scholar 

  107. Giuliani, N., Colla, S. & Rizzoli, V. New insight in the mechanism of osteoclast activation and formation in multiple myeloma: focus on the receptor activator of NFκB ligand (RANKL). Exp. Hematol. 32, 685–691 (2004).

    Article  CAS  PubMed  Google Scholar 

  108. Atkins, G. J. et al. RANKL expression is related to the differentiation state of human osteoblasts. J. Bone Miner. Res. 18, 1088–1098 (2003).

    Article  CAS  PubMed  Google Scholar 

  109. Sezer, O., Heider, U., Zavrski, I., Kuhne, C. A. & Hofbauer, L. C. RANK ligand and osteoprotegerin in myeloma bone disease. Blood 101, 2094–2098 (2003).

    Article  CAS  PubMed  Google Scholar 

  110. Hofbauer, L. C. & Schoppet, M. Clinical implications of the osteoprotegerin/RANKL/RANK system for bone and vascular diseases. JAMA 292, 490–495 (2004).

    Article  CAS  PubMed  Google Scholar 

  111. Croucher, P. I. et al. Osteoprotegerin inhibits the development of osteolytic bone disease in multiple myeloma. Blood 98, 3534–3540 (2001).

    Article  CAS  PubMed  Google Scholar 

  112. Michigami, T. et al. Cell–cell contact between marrow stromal cells and myeloma cells via VCAM-1 and α(4)β(1)-integrin enhances production of osteoclast-stimulating activity. Blood 96, 1953–1960 (2000).

    CAS  PubMed  Google Scholar 

  113. Pearse, R. N. et al. Multiple myeloma disrupts the TRANCE/ osteoprotegerin cytokine axis to trigger bone destruction and promote tumor progression. Proc. Natl Acad. Sci. USA 98, 11581–11586 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  114. Giuliani, N., Bataille, R., Mancini, C., Lazzaretti, M. & Barille, S. Myeloma cells induce imbalance in the osteoprotegerin/osteoprotegerin ligand system in the human bone marrow environment. Blood 98, 3527–3533 (2001).

    Article  CAS  PubMed  Google Scholar 

  115. Choi, S. J. et al. Antisense inhibition of macrophage inflammatory protein 1-a blocks bone destruction in a model of myeloma bone disease. J. Clin. Invest. 108, 1833–1841 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  116. Oba, Y. et al. MIP1α utilizes both CCR1 and CCR5 to induce osteoclast formation and increase adhesion of myeloma cells to marrow stromal cells. Exp. Hematol. 33, 272–278 (2005).

    Article  CAS  PubMed  Google Scholar 

  117. Roodman, G. D. et al. Interleukin 6. A potential autocrine/paracrine factor in Paget's disease of bone. J. Clin. Invest. 89, 46–52 (1992).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  118. Nguyen, A. N. et al. Normalizing the bone marrow microenvironment with p38 inhibitor reduces multiple myeloma cell proliferation and adhesion and suppresses osteoclast formation. Exp. Cell Res. 312, 1909–1923 (2006).

    Article  CAS  PubMed  Google Scholar 

  119. Yin, L. Chondroitin synthase 1 is a key molecule in myeloma cell-osteoclast interactions. J. Biol. Chem. 280, 15666–15672 (2005).

    Article  CAS  PubMed  Google Scholar 

  120. Ducy, P., Zhang, R., Geoffroy, V., Ridall, A. L. & Karsenty, G. Osf2/Cbfa1: a transcriptional activator of osteoblast differentiation. Cell 89, 747–754 (1997).

    Article  CAS  PubMed  Google Scholar 

  121. Karsenty, G. et al. Cbfa1 as a regulator of osteoblast differentiation and function. Bone 25, 107–108 (1999).

    Article  CAS  PubMed  Google Scholar 

  122. Giuliani, N., Rizzoli, V. & Roodman, G. D. Multiple myeloma bone disease: pathophysiology of osteoblast inhibition. Blood 108, 3992–3996 (2006).

    Article  CAS  PubMed  Google Scholar 

  123. Giuliani, N. et al. Myeloma cells block RUNX2/CBFA1 activity in human bone marrow osteoblast progenitors and inhibit osteoblast formation and differentiation. Blood 106, 2472–2483 (2005).

    Article  CAS  PubMed  Google Scholar 

  124. Tian, E. et al. The role of the Wnt-signaling antagonist DKK1 in the development of osteolytic lesions in multiple myeloma. N. Engl. J. Med. 349, 2483–2494 (2003). This is the first study showing that DKK1 inhibits osteoblastogenesis in patients with multiple myeloma.

    Article  CAS  PubMed  Google Scholar 

  125. Yaccoby, S. et al. Antibody-based inhibition of DKK1 suppresses tumor-induced bone resorption and multiple myeloma growth in vivo. Blood 109, 2106–2111 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  126. Glass, D. A. 2nd et al. Canonical Wnt signaling in differentiated osteoblasts controls osteoclast differentiation. Dev. Cell 8, 751–764 (2005).

    Article  CAS  PubMed  Google Scholar 

  127. Holmen, S. L. et al. Essential role of β-catenin in postnatal bone acquisition. J. Biol. Chem. 280, 21162–21168 (2005).

    Article  CAS  PubMed  Google Scholar 

  128. Spencer, G. J., Utting, J. C., Etheridge, S. L., Arnett, T. R. & Genever, P. G. Wnt signalling in osteoblasts regulates expression of the receptor activator of NFκB ligand and inhibits osteoclastogenesis in vitro. J. Cell Sci. 119, 1283–1296 (2006).

    Article  CAS  PubMed  Google Scholar 

  129. Oshima, T. et al. Myeloma cells suppress bone formation by secreting a soluble Wnt inhibitor, sFRP-2. Blood 106, 3160–3165 (2005).

    Article  CAS  PubMed  Google Scholar 

  130. Ehrlich, L. A. et al. IL3 is a potential inhibitor of osteoblast differentiation in multiple myeloma. Blood 106, 1407–1414 (2005).

    Article  CAS  PubMed  Google Scholar 

  131. Franchimont, N., Rydziel, S. & Canalis, E. Transforming growth factor-β increases interleukin-6 transcripts in osteoblasts. Bone 26, 249–253 (2000).

    Article  CAS  PubMed  Google Scholar 

  132. Standal, T. et al. HGF inhibits BMP-induced osteoblastogenesis: possible implications for the bone disease of multiple myeloma. Blood 109, 3024–3030 (2006).

    Google Scholar 

  133. Murray, E. J., Bentley, G. V., Grisanti, M. S. & Murray, S. S. The ubiquitin-proteasome system and cellular proliferation and regulation in osteoblastic cells. Exp. Cell Res. 242, 460–469 (1998).

    Article  CAS  PubMed  Google Scholar 

  134. Garrett, I. R. et al. Selective inhibitors of the osteoblast proteasome stimulate bone formation in vivo and in vitro. J. Clin. Invest. 111, 1771–1782 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  135. Heider, U. et al. Bortezomib increases osteoblast activity in myeloma patients irrespective of response to treatment. Eur. J. Haematol. 77, 233–238 (2006).

    Article  CAS  PubMed  Google Scholar 

  136. Mitsiades, C. S., Mitsiades, N., Munshi, N. C. & Anderson, K. C. Focus on multiple myeloma. Cancer Cell 6, 439–444 (2004).

    Article  CAS  PubMed  Google Scholar 

  137. Gunn, W. G. et al. A crosstalk between myeloma cells and marrow stromal cells stimulates production of DKK1 and interleukin-6: a potential role in the development of lytic bone disease and tumor progression in multiple myeloma. Stem Cells 24, 986–991 (2006).

    Article  CAS  PubMed  Google Scholar 

  138. Raje, N. et al. Seliciclib (CYC202 or R-roscovitine), a small-molecule cyclin-dependent kinase inhibitor, mediates activity via down-regulation of Mcl-1 in multiple myeloma. Blood 106, 1042–1047 (2005).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  139. Mitsiades, C. S. et al. Antimyeloma activity of heat shock protein-90 inhibition. Blood 107, 1092–1100 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  140. Mitsiades, C. S. et al. Activation of NF-kB and upregulation of intracellular anti-apoptotic proteins via the IGF-1/Akt signaling in human multiple myeloma cells: therapeutic implications. Oncogene 21, 5673–5683 (2002).

    Article  CAS  PubMed  Google Scholar 

  141. Shaughnessy, J. D. Jr. & Barlogie, B. Using genomics to identify high-risk myeloma after autologous stem cell transplantation. Biol. Blood Marrow Transplant. 12, 77–80 (2006).

    Article  CAS  PubMed  Google Scholar 

  142. Walker, B. A. et al. Integration of global SNP-based mapping and expression arrays reveals key regions, mechanisms, and genes important in the pathogenesis of multiple myeloma. Blood 108, 1733–1743 (2006).

    Article  CAS  PubMed  Google Scholar 

  143. Stewart, A. K. et al. A practical guide to defining high-risk myeloma for clinical trials, patient counseling and choice of therapy. Leukemia 21, 529–534 (2007).

    Article  CAS  PubMed  Google Scholar 

  144. Chng, W. J. et al. Molecular dissection of hyperdiploid multiple myeloma by gene expression profiling. Cancer Res. 67, 2982–2989 (2007).

    Article  CAS  PubMed  Google Scholar 

  145. Mitsiades, N. et al. Molecular sequelae of histone deacetylase inhibition in human malignant B cells. Blood 101, 4055–4062 (2003).

    Article  CAS  PubMed  Google Scholar 

  146. Catley, L. et al. NVP-LAQ824 is a potent novel histone deacetylase inhibitor with significant activity against multiple myeloma. Blood 102, 2615–2622 (2003).

    Article  CAS  PubMed  Google Scholar 

  147. Mitsiades, C. S. et al. Transcriptional signature of histone deacetylase inhibition in multiple myeloma: biological and clinical implications. Proc. Natl Acad. Sci. USA 101, 540–545 (2004).

    Article  CAS  PubMed  Google Scholar 

  148. Catley, L. et al. Aggresome induction by proteasome inhibitor bortezomib and α-tubulin hyperacetylation by tubulin deacetylase (TDAC) inhibitor LBH589 are synergistic in myeloma cells. Blood 108, 3441–3449 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  149. Zhu, W. G. & Otterson, G. A. The interaction of histone deacetylase inhibitors and DNA methyltransferase inhibitors in the treatment of human cancer cells. Curr. Med. Chem. Anti-Canc. Agents 3, 187–199 (2003).

    Article  CAS  Google Scholar 

  150. Hu, J. & Colburn, N. H. Histone deacetylase inhibition down-regulates cyclin D1 transcription by inhibiting nuclear factor-κB/p65 DNA binding. Mol. Cancer Res. 3, 100–109 (2005).

    Article  CAS  PubMed  Google Scholar 

  151. Caraglia, M., Tagliaferri, P., Budillon, A. & Abbruzzese, A. Post-translational modifications of eukaryotic initiation factor-5A (eIF-5A) as a new target for anti-cancer therapy. Adv. Exp. Med. Biol. 472, 187–198 (1999).

    Article  CAS  PubMed  Google Scholar 

  152. Palakurthi, S. S. et al. Inhibition of translation initiation mediates the anticancer effect of the n-3 polyunsaturated fatty acid eicosapentaenoic acid. Cancer Res. 60, 2919–2925 (2000).

    CAS  PubMed  Google Scholar 

  153. Dragnev, K. H., Freemantle, S. J., Spinella, M. J. & Dmitrovsky, E. Cyclin proteolysis as a retinoid cancer prevention mechanism. Ann. NY Acad. Sci. 952, 13–22 (2001).

    Article  CAS  PubMed  Google Scholar 

  154. Tsutsumi, S. et al. Regulation of cell proliferation by autocrine motility factor/phosphoglucose isomerase signaling. J. Biol. Chem. 278, 32165–32172 (2003).

    Article  CAS  PubMed  Google Scholar 

  155. Malumbres, M. & Barbacid, M. To cycle or not to cycle: a critical decision in cancer. Nature Rev. Cancer 1, 222–231 (2001).

    Article  CAS  Google Scholar 

  156. Sherr, C. J. & McCormick, F. The RB and p53 pathways in cancer. Cancer Cell 2, 103–112 (2002).

    Article  CAS  PubMed  Google Scholar 

  157. Chen, J. et al. FGFR3 as a therapeutic target of the small molecule inhibitor PKC412 in hematopoietic malignancies. Oncogene 24, 8259–8267 (2005).

    Article  CAS  PubMed  Google Scholar 

  158. Chang, H. et al. Immunohistochemistry accurately predicts FGFR3 aberrant expression and t(4;14) in multiple myeloma. Blood 106, 353–355 (2005).

    Article  CAS  PubMed  Google Scholar 

  159. Trudel, S. et al. CHIR-258, a novel, multitargeted tyrosine kinase inhibitor for the potential treatment of t(4;14) multiple myeloma. Blood 105, 2941–2948 (2005).

    Article  CAS  PubMed  Google Scholar 

  160. Urashima, M. et al. The development of a model for the homing of multiple myeloma cells to human bone marrow. Blood 90, 754–765 (1997).

    CAS  PubMed  Google Scholar 

  161. Mitsiades, C. S. et al. Fluorescence imaging of multiple myeloma cells in a clinically relevant SCID/NOD in vivo model: biologic and clinical implications. Cancer Res. 63, 6689–6696 (2003).

    CAS  PubMed  Google Scholar 

  162. Tassone, P. et al. Cytotoxic activity of the maytansinoid immunoconjugate B-B4-DM1 against CD138+ multiple myeloma cells. Blood 104, 3688–3696 (2004).

    Article  CAS  PubMed  Google Scholar 

  163. Tassone, P. et al. A clinically relevant SCID-hu in vivo model of human multiple myeloma. Blood 106, 713–716 (2005).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  164. Carrasco, D. R. et al. The differentiation and stress response factor XBP-1 drives multiple myeloma pathogenesis. Cancer Cell 11, 349–360 (2007). This work provides a description of the first genetically engineered mouse model recapitulating the main clinical and pathogenetic features of human multiple myeloma.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  165. Iwakoshi, N. N. et al. Plasma cell differentiation and the unfolded protein response intersect at the transcription factor XBP-1. Nature Immunol. 4, 321–329 (2003).

    Article  CAS  Google Scholar 

  166. Klein, B. et al. Survival and proliferation factors of normal and malignant plasma cells. Int. J. Hematol. 78, 106–113 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  167. Mitsiades, N. et al. Apoptotic signaling induced by immunomodulatory thalidomide analogs in human multiple myeloma cells: therapeutic implications. Blood 99, 4525–4530 (2002).

    Article  CAS  PubMed  Google Scholar 

  168. Hideshima, H. et al. Small molecule inhibition of proteasome and aggresome function induces synergistic anti-tumor activity in multiple myeloma. Proc. Natl Acad. Sci. USA 102, 8567–8572 (2005).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  169. Chauhan, D. et al. A novel Bcl-2/Bcl-X(L)/Bcl-w inhibitor ABT-737 as therapy in multiple myeloma. Oncogene 26, 2374–2380 (2007).

    Article  CAS  PubMed  Google Scholar 

  170. Chauhan, D. et al. Targeting mitochondrial factor Smac/DIABLO as therapy for multiple myeloma (MM). Blood 109, 1220–1227 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  171. Hideshima, T. et al. Molecular mechanisms mediating antimyeloma activity of proteasome inhibitor PS-341. Blood 101, 1530–1534 (2003).

    Article  CAS  PubMed  Google Scholar 

  172. Mitsiades, N. et al. The proteasome inhibitor PS-341 potentiates sensitivity of multiple myeloma cells to conventional chemotherapeutic agents: therapeutic applications. Blood 101, 2377–2380 (2003).

    Article  CAS  PubMed  Google Scholar 

  173. Berenson, J. R. et al. Phase I/II trial assessing bortezomib and melphalan combination therapy for the treatment of patients with relapsed or refractory multiple myeloma. J. Clin. Oncol. 24, 937–944 (2006).

    Article  CAS  PubMed  Google Scholar 

  174. Orlowski, R. Z. et al. Phase 1 trial of the proteasome inhibitor bortezomib and pegylated liposomal doxorubicin in patients with advanced hematologic malignancies. Blood 105, 3058–3065 (2005).

    Article  CAS  PubMed  Google Scholar 

  175. Mitsiades, N. et al. Molecular sequelae of proteasome inhibition in human multiple myeloma cells. Proc. Natl Acad. Sci. USA 99, 14374–14379 (2002).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  176. Podar, K. et al. Caveolin-1 is required for vascular endothelial growth factor-triggered multiple myeloma cell migration and is targeted by bortezomib. Cancer Res. 64, 7500–7506 (2004).

    Article  CAS  PubMed  Google Scholar 

  177. Podar, K. et al. Targeting PKC in multiple myeloma: in vitro and in vivo effects of the novel, orally available small-molecule inhibitor enzastaurin (LY317615. HCl). Blood 109, 1669–1677 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  178. Lorch, J. H., Thomas, T. O. & Schmoll, H. J. Bortezomib inhibits cell-cell adhesion and cell migration and enhances epidermal growth factor receptor inhibitor-induced cell death in squamous cell cancer. Cancer Res. 67, 727–734 (2007).

    Article  CAS  PubMed  Google Scholar 

  179. Hideshima, T. et al. Thalidomide and its analogues overcome drug resistance of human multiple myeloma cells to conventional therapy. Blood 96, 2943–2950 (2000).

    CAS  PubMed  Google Scholar 

  180. Raje, N. et al. Combination of the mTOR inhibitor Rapamycin and RevlimidTM(CC-5013) has synergistic activity in multiple myeloma. Blood 104, 4188–4193 (2004).

    Article  CAS  PubMed  Google Scholar 

  181. Tai, Y. T. et al. Immunomodulatory drug lenalidomide (CC-5013, IMiD3) augments anti-CD40 SGN-40-induced cytotoxicity in human multiple myeloma: clinical implications. Cancer Res. 65, 11712–11720 (2005).

    Article  CAS  PubMed  Google Scholar 

  182. Rajkumar, S. V. et al. Combination therapy with lenalidomide plus dexamethasone (Rev/Dex) for newly diagnosed myeloma. Blood 106, 4050–4053 (2005).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  183. Dispenzieri, A. et al. The activity of lenalidomide with or without dexamethasone in patients with primary systemic amyloidosis. Blood 109, 465–470 (2007).

    Article  CAS  PubMed  Google Scholar 

  184. Mulligan, G. et al. Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib. Blood 109, 3177–3188 (2007).

    Article  CAS  PubMed  Google Scholar 

  185. Altun, M. et al. Effects of PS-341 on the activity and composition of proteasomes in multiple myeloma cells. Cancer Res. 65, 7896–7901 (2005).

    Article  CAS  PubMed  Google Scholar 

  186. Berkers, C. R. et al. Activity probe for in vivo profiling of the specificity of proteasome inhibitor bortezomib. Nature Methods 2, 357–362 (2005).

    Article  CAS  PubMed  Google Scholar 

  187. Munshi, N. C. et al. Identification of genes modulated in multiple myeloma using genetically identical twin samples. Blood 103, 1799–1806 (2004).

    Article  CAS  PubMed  Google Scholar 

  188. Bergsagel, P. L. et al. Promiscuous mutations frequently activate the non-canonical NFκB pathway in multiple myeloma (MM). Blood 108, 36a (2006).

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank D. Chauhan and N.C. Munshi for their helpful comments. We apologize to our many colleagues whose work is not cited owing to space constraints.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kenneth C. Anderson.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Related links

Related links

DATABASES

National Cancer Institute

multiple myeloma

FURTHER INFORMATION

US National Cancer Institute Clinical Trials website

Multiple Myeloma Research Foundation website

International Myeloma Foundation website

Glossary

Plasma cell

A plasma cell differentiates from a B lymphocyte and secretes large amounts of immunoglobulins. Plasma cells are rarely found in the peripheral blood, and represent 0.2% to 2.8% of bone marrow mononuclear cells.

Monoclonal (M) protein

An antibody (immunoglobulin), or part of an antibody, found in excess in the blood and/or urine in patients with multiple myeloma and other plasma cell tumours.

Plasmacytosis

A condition in which there is an increased population of plasma cells.

Hyperviscosity

Increased viscosity of blood caused by an excess of M proteins in multiple myeloma.

Bone marrow stromal cells

(BMSCs). Cellular components in the bone marrow that support multiple myeloma cell growth, survival and drug resistance.

Thalidomide, lenalidomide and bortezomib

Immunomodulatory drugs and proteasome inhibitors that target not only multiple myeloma cells, but also bone marrow accessory cells, and overcome conventional drug resistance.

Cell adhesion-mediated drug resistance

(CAMDR) Resistance to conventional chemotherapy owing to the adhesion of multiple myeloma cells to accessory cells in the bone marrow.

Bone marrow accessory cells

Accessory cells in the bone marrow include stromal cells, osteoclasts, osteoblasts and endothelial cells.

Matrix metalloproteinase

(MMP) MMPs are endopeptidases that degrade extracellular matrix proteins (such as collagen) and chemokines (such as SDF1). They are activated by other MMPs and plasmin, and inactivated by tissue inhibitor of metalloproteinases (TIMPs). Multiple myeloma cells express MMP9 and BMSCs express MMP1 and 2. The interaction of multiple myeloma cells and BMSCs upregulates MMP1, promoting bone resorption and tumour invasion.

Plasma cell leukaemia

(PCL). PCL is a variant of multiple myeloma characterized by greater than or equal to 2 × 109 circulating plasma cells in one litre of peripheral blood. Pateints can present with primary PCL, or it can evolve from previously recognized multiple myeloma (secondary PCL).

Microvessel density

(MVD). A quantitative measure of the density of small vessels in tissues, which is assessed by immunohistochemical staining with anti-endothelial antibodies (such as anti-CD31). In multiple myeloma, increasing MVD is associated with progressive disease.

Osteopaenia

One of the most common findings in skeletal radiographs in patients with multiple myeloma is the increased radiolucency of bone, termed osteopaenia. Osteopaenia is caused by low mineral density.

SCID mouse models

In vivo xenograft models of human multiple myeloma in immunodeficient mice. In the NOD;LtSz-scid;scid (SCID/NOD) model, diffuse fluorescence-protein labelled multiple myeloma cells are injected intravenously and their homing and anatomical localization are monitored by whole body-bioluminescence. In the SCID-hu model, a human bone chip is implanted subcutaneously into SCID mice, and human multiple myeloma cells directly injected into the bone graft. This allows for the evaluation of human multiple myeloma cells in the context of human bone marrow accessory cells and extracellular matrix proteins.

Aggresome autophagy

Perinuclear inclusions that form in multiple myeloma cells in the setting of stress associated with misfolded or mutated proteins. Several protein components, including ubiquitin, HDAC6, dynein and vimentin have a crucial role in aggresome formation. These protein complexes are ultimately degraded by lysosomes.

Antibody-dependent cell-mediated cytotoxicity

(ADCC). An immune response in which antibodies bind to epitopes on target cells, thereby marking them for attack by effector cells (such as natural killer cells, T cells and macrophages). It is necessary for effector cells to have Fc receptors.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hideshima, T., Mitsiades, C., Tonon, G. et al. Understanding multiple myeloma pathogenesis in the bone marrow to identify new therapeutic targets. Nat Rev Cancer 7, 585–598 (2007). https://doi.org/10.1038/nrc2189

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1038/nrc2189

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing