Duplication of chromosome arms 9q and 11q: Evidence for a novel, 14q32 translocation-independent pathogenetic pathway in multiple myeloma

2004 ◽  
Vol 42 (1) ◽  
pp. 78-81 ◽  
Author(s):  
Peter Liebisch ◽  
Daniel Scheck ◽  
Seiichi Alvise Erné ◽  
Alexander Wellmann ◽  
Christiane Wendl ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
14Q32 Translocation

Association of High Levels of Free Light Chain and the Presence of Igh Translocations in Multiple Myeloma and Prognostic Implications.

Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 1677-1677
Author(s):  
Shaji Kumar ◽  
Lijun Zhang ◽  
Angela Dispenzieri ◽  
Scott Van Wier ◽  
Jerry Katzmann ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Heavy Chain ◽  
Light Chain ◽  
Prognostic Value ◽  
Immunoglobulin Heavy Chain ◽  
Free Light Chain ◽  
Phase Iii ◽  
Light Chains ◽  
14Q32 Translocation

Abstract Background: The free light chain (FLC) assay allows a nephelometric measurement of this free kappa and lambda light chains that circulate as monomers or dimers, not bound to the immunoglobulin heavy chain. Estimation of the free light chain levels and their ratio has utility in screening, prognostication and treatment response assessment in multiple myeloma, and is particularly useful in light chain myeloma. Previous studies have suggested that absence of a functional rearrangement on at least one of the IgH allele is the basis of light chain myeloma. Translocations involving the immunoglobulin heavy chain (IgH) locus on chromosome 14 can be detected using FISH in over half of the patients with myeloma. We hypothesized that presence of an IgH translocation may be associated with compromised production of heavy chains and leads to unbalanced, excess production of clonal light chain. Methods: From February 1988 to May 1992, 653 patients with previously untreated multiple myeloma were enrolled on the phase III clinical trial E9486. Serum free light chains were run on stored sera obtained at baseline in 495 patients as part of a previous study. Among these patients, 314 patients were previously studied using FISH for presence or absence of IgH translocations, p53 abnormalities and deletion 13 and were included in the current analysis. Results: The median difference between the involved and uninvolved FLC (FLCdiff) was higher among the group of patients with any IgH translocation abnormality compared to those with none (Figure 1). This was particularly evident among the patients with a t(14;16) who had the highest FLCdiff. In a multivariate analysis, we examined if the prognostic value seen with FLCdiff was independent of the presence of IgH translocations t(4:14) and t(14;16), which are associated with a worse outcome. The presence of t(4;14) or t(14;16) was associated with FLCdiff groups using a cutoff point of 185, with 13% of those with FLCd ≤185 and 27% of those with FLCd > 185 having the translocations (P= 0.008). At the cutoff value of 185, the prognostic value of the FLC-diff on progression free and overall survival appears to be independent of these high risk IgH translocations (P-value=0.03 and 0.003, respectively for PFS and OS) We then examined the prognostic value of the FLC-diff in the group of patients without these two high risk abnormalities and were able to confirm that they remained prognostic for PFS (P=0.009) and OS (p=0.005). However, among the group of patients with either of the two high risk IgH abnormalities, FLCdiff estimate added little to assessment of their outcome (P=0.97 and 0.20, respectively for PFS and OS). Conclusion: Elevated free light chain levels are associated with presence of IgH translocations and these patients are more likely to harbor the high risk genetic abnormalities. Routine FISH testing for patients with newly diagnosed myeloma will allow us to confirm these and allow better risk stratification of the patients. Additional work needs to be done to help us better understand the molecular basis for unbalanced light chain excretion by myeloma cells and the current finding of the association with IgH translocation abnormalities should form the basis for this work. Figure 1. Distribution of FLC ratio (inv vs. uninv) and FLC difference (inv − uninv) among patients. Solid squares represent patients with t(4;14) or t(14;16) or t(11;14) or other 14q32 translocation; open circles represent patients without t(4;14), t(14;16), t(11;14) and any other 14q32 translocations. The horizontal dashed lines refer to FLC ratio original values of 100 and 1000, and vertical dashed lines refer to FLC difference original values of 10 and 100. Solid line indicates significant association (P<=0.05) between the dichotomized FLC groups and translocation status. Figure 1. Distribution of FLC ratio (inv vs. uninv) and FLC difference (inv − uninv) among patients. Solid squares represent patients with t(4;14) or t(14;16) or t(11;14) or other 14q32 translocation; open circles represent patients without t(4;14), t(14;16), t(11;14) and any other 14q32 translocations. The horizontal dashed lines refer to FLC ratio original values of 100 and 1000, and vertical dashed lines refer to FLC difference original values of 10 and 100. Solid line indicates significant association (P<=0.05) between the dichotomized FLC groups and translocation status.

Proteasome inhibitors as therapeutics

2005 ◽  
Vol 41 ◽  
pp. 205-218
Author(s):  
Constantine S. Mitsiades ◽  
Nicholas Mitsiades ◽  
Teru Hideshima ◽  
Paul G. Richardson ◽  
Kenneth C. Anderson
Keyword(s):  
Multiple Myeloma ◽  
Drug Class ◽  
Proteasome Inhibitors ◽  
Cell Cycle Regulators ◽  
Current State ◽  
Intracellular Mechanism ◽  
Ubiquitin Proteasome ◽  
Proteasome Pathway ◽  
Hodgkin's Lymphomas ◽  
Clinical Research Data

The ubiquitin–proteasome pathway is a principle intracellular mechanism for controlled protein degradation and has recently emerged as an attractive target for anticancer therapies, because of the pleiotropic cell-cycle regulators and modulators of apoptosis that are controlled by proteasome function. In this chapter, we review the current state of the field of proteasome inhibitors and their prototypic member, bortezomib, which was recently approved by the U.S. Food and Drug Administration for the treatment of advanced multiple myeloma. Particular emphasis is placed on the pre-clinical research data that became the basis for eventual clinical applications of proteasome inhibitors, an overview of the clinical development of this exciting drug class in multiple myeloma, and a appraisal of possible uses in other haematological malignancies, such non-Hodgkin's lymphomas.

Bone sialoprotein mRNA and protein expression in human multiple myeloma cell lines and patients

2000 ◽  
Vol 111 (4) ◽  
pp. 1118-1121 ◽  
Author(s):  
A. Bellahcene ◽  
I. Van Riet ◽  
C. de Greef ◽  
N. Antoine ◽  
M. F. Young ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Protein Expression ◽  
Cell Lines ◽  
Myeloma Cell ◽  
Bone Sialoprotein ◽  
Multiple Myeloma Cell ◽  
Human Multiple Myeloma ◽  
Mrna And Protein Expression

Controversies surrounding the clonogenic origin of multiple myeloma

2000 ◽  
Vol 110 (1) ◽  
pp. 240-241 ◽  
Author(s):  
Faith E. Davies ◽  
Andrew C. Rawstron ◽  
Roger G. Owen ◽  
Gareth J. Morgan
Keyword(s):  
Multiple Myeloma

Multiple Myeloma Responds to New Regimens

2007 ◽  
Vol 40 (6) ◽  
pp. 19
Author(s):  
BRUCE WILSON
Keyword(s):  
Multiple Myeloma
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