Effectively treating patients with multiple myeloma is challenging. The development of therapeutic regimens over the past decade that incorporate the proteasome inhibitor bortezomib and the immunomodulatory drugs thalidomide and lenalidomide has been the cornerstone of improving the outcome of patients with myeloma. Although these treatment regimens have improved patient survival, nearly all patients eventually relapse. Our improved understanding of the biology of the disease and the importance of the microenvironment has translated into ongoing work to help overcome the challenge of relapse. Several classes of agents including next-generation proteasome inhibitors, immunomodulatory agents, selective histone-deacetylase inhibitors, antibody and antitumor immunotherapy approaches are currently undergoing preclinical and clinical evaluation. This Review provides an update on the latest advances in the treatment of multiple myeloma. In particular, we focus on novel therapies including modulating protein homeostasis, kinases inhibitors, targeting accessory cells and cytokines, and immunomodulatory agents. A discussion of the challenges associated with these therapeutic approaches is also presented.

The attrition rate for anticancer drugs entering clinical trials is unacceptably high. For multiple myeloma (MM) we postulate that this is due to pre-clinical models that over-emphasize the anti-proliferative activity of drugs, and clinical trials performed in refractory end-stage patients. We validate the Vk*MYC transgenic mouse as a faithful model to predict single agent drug activity in MM with a positive predictive value of 67% (4 out of 6) for clinical activity, and a negative predictive value of 88% (7 out of 8) for clinical inactivity and identify four novel agents that should be prioritized for evaluation in clinical trials. Transplantation of Vk*MYC tumor cells into congenic mice selected for a more aggressive disease that models end stage drug-resistant MM and responds only to combinations of drugs with single agent activity in untreated Vk*MYC MM. We predict that combinations of standard agents, histone deacetylase inhibitors, bromodomain inhibitors, and hypoxia-activated pro-drugs will demonstrate efficacy in the treatment of relapsed MM.

Cytogenetic abnormalities (CA) are important clinical parameters in various types of cancer, including multiple myeloma (MM). We developed a model to predict CA in patients with MM using gene expression profiling (GEP), and validated it by different cytogenetic techniques. The model has an accuracy up to 0.89. These results provide proof of concept for the hypothesis that GEP is a superior genomic method for clinical molecular diagnosis and/or prognosis.

Emerging evidence indicates that tumors can follow a number of evolutionary paths over a patient's disease course. Using serial genomic analysis of samples collected at different points during the disease course of 28 patients with multiple myeloma we found that the genomes of standard-risk patients demonstrate few changes over time, whereas those of cytogenetically high-risk patients show significantly more changes over time. The results illustrate the existence of three temporal tumor types, which can either be genetically stable, linearly evolving, or heterogeneous clonal mixtures with shifting predominant clones. A detailed analysis of one high-risk patient sampled at seven time points over the entire disease course identified two competing subclones that alternate in a back and forth manner for dominance with therapy until one clone underwent a dramatic linear evolution. Using the Vk*MYC genetically engineered mouse model of myeloma we modeled this competition between subclones for predominance occurring spontaneously, and with therapeutic selection.

PURPOSE: The combined use of microarray technologies and bioinformatics analysis has improved our understanding of biological complexity of multiple myeloma (MM). In contrast, the application of the same technology in the attempt to predict clinical outcome has been less successful with the identification of heterogeneous molecular signatures. Herein, we have reconstructed gene regulatory networks in a panel of 1,883 samples from MM patients derived from publicly available gene expression sets, to allow the identification of robust and reproducible signatures associated with poor prognosis across independent data sets. EXPERIMENTAL DESIGN: Gene regulatory networks were reconstructed by using Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) and microarray data from seven MM data sets. Critical analysis of network components was applied to identify genes playing an essential role in transcriptional networks, which are conserved between data sets. RESULTS: Network critical analysis revealed that (i) CCND1 and CCND2 were the most critical genes; (ii) CCND2, AIF1, and BLNK had the largest number of connections shared among the data sets; (iii) robust gene signatures with prognostic power were derived from the most critical transcripts and from shared primary neighbors of the most connected nodes. Specifically, a critical-gene model, comprising FAM53B, KIF21B, WHSC1, and TMPO, and a neighbor-gene model, comprising BLNK shared neighbors CSGALNACT1 and SLC7A7, predicted survival in all data sets with follow-up information. CONCLUSIONS: The reconstruction of gene regulatory networks in a large panel of MM tumors defined robust and reproducible signatures with prognostic importance, and may lead to identify novel molecular mechanisms central to MM biology.

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We used genome-wide methylation microarrays to analyze differences in CpG methylation patterns in cells relevant to the pathogenesis of myeloma plasma cells (B cells, normal plasma cells, monoclonal gammopathy of undetermined significance [MGUS], presentation myeloma, and plasma cell leukemia). We show that methylation patterns in these cell types are capable of distinguishing nonmalignant from malignant cells and the main reason for this difference is hypomethylation of the genome at the transition from MGUS to presentation myeloma. In addition, gene-specific hypermethylation was evident at the myeloma stage. Differential methylation was also evident at the transition from myeloma to plasma cell leukemia with remethylation of the genome, particularly of genes involved in cell-cell signaling and cell adhesion, which may contribute to independence from the bone marrow microenvironment. There was a high degree of methylation variability within presentation myeloma samples, which was associated with cytogenetic differences between samples. More specifically, we found methylation subgroups were defined by translocations and hyperdiploidy, with t(4;14) myeloma having the greatest impact on DNA methylation. Two groups of hyperdiploid samples were identified, on the basis of unsupervised clustering, which had an impact on overall survival. Overall, DNA methylation changes significantly during disease progression and between cytogenetic subgroups.

p53-binding protein 1 (53BP1) is known to be an important mediator of the DNA damage response, with dimethylation of histone H4 lysine 20 (H4K20me2) critical to the recruitment of 53BP1 to double-strand breaks (DSBs). However, it is not clear how 53BP1 is specifically targeted to the sites of DNA damage, as the overall level of H4K20me2 does not seem to increase following DNA damage. It has been proposed that DNA breaks may cause exposure of methylated H4K20 previously buried within the chromosome; however, experimental evidence for such a model is lacking. Here we found that H4K20 methylation actually increases locally upon the induction of DSBs and that methylation of H4K20 at DSBs is mediated by the histone methyltransferase MMSET (also known as NSD2 or WHSC1) in mammals. Downregulation of MMSET significantly decreases H4K20 methylation at DSBs and the subsequent accumulation of 53BP1. Furthermore, we found that the recruitment of MMSET to DSBs requires the �³H2AX-MDC1 pathway; specifically, the interaction between the MDC1 BRCT domain and phosphorylated Serâ??102 of MMSET. Thus, we propose that a pathway involving �³H2AX-MDC1-MMSET regulates the induction of H4K20 methylation on histones around DSBs, which, in turn, facilitates 53BP1 recruitment.

To identify risk variants for multiple myeloma, we conducted a genome-wide association study of 1,675 individuals with multiple myeloma and 5,903 control subjects. We identified risk loci for multiple myeloma at 3p22.1 (rs1052501 in ULK4; odds ratio (OR) = 1.32; P = 7.47 * 10(-9)) and 7p15.3 (rs4487645, OR = 1.38; P = 3.33 * 10(-15)). In addition, we observed a promising association at 2p23.3 (rs6746082, OR = 1.29; P = 1.22 * 10(-7)). Our study identifies new genomic regions associated with multiple myeloma risk that may lead to new etiological insights.

PURPOSE: Regions on 1p with recurrent deletions in presenting myeloma patients were examined with the purpose of defining the deletions and assessing their survival impact. EXPERIMENTAL DESIGN: Gene mapping, gene expression, FISH, and mutation analyses were conducted on patient samples from the MRC Myeloma IX trial and correlated with clinical outcome data. RESULTS: 1p32.3 was deleted in 11% of cases, and deletion was strongly associated with impaired overall survival (OS) in patients treated with autologous stem cell transplant (ASCT). In patients treated less intensively, del(1)(p32.3) was not associated with adverse progression-free survival (PFS) or OS. The target of homozygous deletions was CDKN2C, however its role in the adverse outcome of cases with hemizygous deletion was less certain. 1p22.1-21.2 was the most frequently deleted region and contained the candidate genes MTF2 and TMED5. No mutations were identified in these genes. 1p12 was deleted in 19% of cases, and deletion was associated with impaired OS in univariate analysis. The target of homozygous deletion was FAM46C, which was mutated in 3.4% of cases. When cases with FAM46C deletion or mutation were considered together, they were strongly associated with impaired OS in the intensive treatment setting. CONCLUSION: Deletion of 1p32.3 and 1p12 was associated with impaired OS in myeloma patients receiving ASCT. FAM46C was identified as a gene with potential pathogenic and prognostic significance based on the occurrence of recurrent homozygous deletions and mutations.

A panel of members of the 2009 International Myeloma Workshop developed guidelines for risk stratification in multiple myeloma. The purpose of risk stratification is not to decide time of therapy but to prognosticate. There is general consensus that risk stratification is applicable to newly diagnosed patients; however, some genetic abnormalities characteristic of poor outcome at diagnosis may suggest poor outcome if only detected at the time of relapse. Thus, in good-risk patients, it is necessary to evaluate for high-risk features at relapse. Although detection of any cytogenetic abnormality is considered to suggest higher-risk disease, the specific abnormalities considered as poor risk are cytogenetically detected chromosomal 13 or 13q deletion, t(4;14) and del17p, and detection by fluorescence in situ hybridization of t(4;14), t(14;16), and del17p. Detection of 13q deletion by fluorescence in situ hybridization only, in absence of other abnormalities, is not considered a high-risk feature. High serum â??(2)-microglobulin level and International Staging System stages II and III, incorporating high â??(2)-microglobulin and low albumin, are considered to predict higher risk disease. There was a consensus that the high-risk features will change in the future, with introduction of other new agents or possibly new combinations.

To obtain a comprehensive genomic profile of presenting multiple myeloma cases we performed high-resolution single nucleotide polymorphism mapping array analysis in 114 samples alongside 258 samples analyzed by U133 Plus 2.0 expression array (Affymetrix). We examined DNA copy number alterations and loss of heterozygosity (LOH) to define the spectrum of minimally deleted regions in which relevant genes of interest can be found. The most frequent deletions are located at 1p (30%), 6q (33%), 8p (25%), 12p (15%), 13q (59%), 14q (39%), 16q (35%), 17p (7%), 20 (12%), and 22 (18%). In addition, copy number-neutral LOH, or uniparental disomy, was also prevalent on 1q (8%), 16q (9%), and X (20%), and was associated with regions of gain and loss. Based on fluorescence in situ hybridization and expression quartile analysis, genes of prognostic importance were found to be located at 1p (FAF1, CDKN2C), 1q (ANP32E), and 17p (TP53). In addition, we identified common homozygously deleted genes that have functions relevant to myeloma biology. Taken together, these analyses indicate that the crucial pathways in myeloma pathogenesis include the nuclear factor-�ºB pathway, apoptosis, cell-cycle regulation, Wnt signaling, and histone modifications. This study was registered at http://isrctn.org as ISRCTN68454111.

In multiple myeloma (MM), an incurable B cell neoplasm, mutation or deletion of p53 is rarely detected at diagnosis. Using small-molecule inhibitors of MDM2, we provide evidence that miR-192, 194, and 215, which are downregulated in a subset of newly diagnosed MMs, can be transcriptionally activated by p53 and then modulate MDM2 expression. Furthermore, ectopic re-expression of these miRNAs in MM cells increases the therapeutic action of MDM2 inhibitors in vitro and in vivo by enhancing their p53-activating effects. In addition, miR-192 and 215 target the IGF pathway, preventing enhanced migration of plasma cells into bone marrow. The results suggest that these miRNAs are positive regulators of p53 and that their downregulation plays a key role in MM development.

By misdirecting the activity of Activation-Induced Deaminase (AID) to a conditional MYC transgene, we have achieved sporadic, AID-dependent MYC activation in germinal center B cells of Vk*MYC mice. Whereas control C57BL/6 mice develop benign monoclonal gammopathy with age, all Vk*MYC mice progress to an indolent multiple myeloma associated with the biological and clinical features highly characteristic of the human disease. Furthermore, antigen-dependent myeloma could be induced by immunization with a T-dependent antigen. Consistent with these findings in mice, more frequent MYC rearrangements, elevated levels of MYC mRNA, and MYC target genes distinguish human patients with multiple myeloma from individuals with monoclonal gammopathy, implicating a causal role for MYC in the progression of monoclonal gammopathy to multiple myeloma.

Progress in understanding the biology of multiple myeloma (MM), a plasma cell malignancy, has been slow. The discovery of microRNAs (miRNAs), a class of small noncoding RNAs targeting multiple mRNAs, has revealed a new level of gene expression regulation. To determine whether miRNAs play a role in the malignant transformation of plasma cells (PCs), we have used both miRNA microarrays and quantitative real time PCR to profile miRNA expression in MM-derived cell lines (n = 49) and CD138+ bone marrow PCs from subjects with MM (n = 16), monoclonal gammopathy of undetermined significance (MGUS) (n = 6), and normal donors (n = 6). We identified overexpression of miR-21, miR-106b approximately 25 cluster, miR-181a and b in MM and MGUS samples with respect to healthy PCs. Selective up-regulation of miR-32 and miR-17 approximately 92 cluster was identified in MM subjects and cell lines but not in MGUS subjects or healthy PCs. Furthermore, two miRNAs, miR-19a and 19b, that are part of the miR-17 approximately 92 cluster, were shown to down regulate expression of SOCS-1, a gene frequently silenced in MM that plays a critical role as inhibitor of IL-6 growth signaling. We also identified p300-CBP-associated factor, a gene involved in p53 regulation, as a bona fide target of the miR106b approximately 25 cluster, miR-181a and b, and miR-32. Xenograft studies using human MM cell lines treated with miR-19a and b, and miR-181a and b antagonists resulted in significant suppression of tumor growth in nude mice. In summary, we have described a MM miRNA signature, which includes miRNAs that modulate the expression of proteins critical to myeloma pathogenesis.

Multiple myeloma is an incurable malignancy of plasma cells, and its pathogenesis is poorly understood. Here we report the massively parallel sequencing of 38 tumour genomes and their comparison to matched normal DNAs. Several new and unexpected oncogenic mechanisms were suggested by the pattern of somatic mutation across the data set. These include the mutation of genes involved in protein translation (seen in nearly half of the patients), genes involved in histone methylation, and genes involved in blood coagulation. In addition, a broader than anticipated role of NF-�?�ºB signalling was indicated by mutations in 11 members of the NF-�?�ºB pathway. Of potential immediate clinical relevance, activating mutations of the kinase BRAF were observed in 4% of patients, suggesting the evaluation of BRAF inhibitors in multiple myeloma clinical trials. These results indicate that cancer genome sequencing of large collections of samples will yield new insights into cancer not anticipated by existing knowledge.

Multiple myeloma (MM) is a genetically heterogeneous disease, which to date remains fatal. Finding a common mechanism for initiation and progression of MM continues to be challenging. By means of integrative genomics, we identified an underexpressed gene signature in MM patient cells compared to normal counterpart plasma cells. This profile was enriched for previously defined H3K27-tri-methylated genes, targets of the Polycomb group (PcG) proteins in human embryonic fibroblasts. Additionally, the silenced gene signature was more pronounced in ISS stage III MM compared to stage I and II. Using chromatin immunoprecipitation (ChIP) assay on purified CD138+ cells from four MM patients and on two MM cell lines, we found enrichment of H3K27me3 at genes selected from the profile. As the data implied that the Polycomb-targeted gene profile would be highly relevant for pharmacological treatment of MM, we used two compounds to chemically revert the H3K27-tri-methylation mediated gene silencing. The S-adenosylhomocysteine hydrolase inhibitor 3-Deazaneplanocin (DZNep) and the histone deacetylase inhibitor LBH589 (Panobinostat), reactivated the expression of genes repressed by H3K27me3, depleted cells from the PRC2 component EZH2 and induced apoptosis in human MM cell lines. In the immunocompetent 5T33MM in vivo model for MM, treatment with LBH589 resulted in gene upregulation, reduced tumor load and increased overall survival. Taken together, our results reveal a common gene signature in MM, mediated by gene silencing via the Polycomb repressor complex. The importance of the underexpressed gene profile in MM tumor initiation and progression should be subjected to further studies.

We report on prognostic implications for post-relapse survival (PRS) of a gene expression profiling (GEP)-defined risk score at relapse available in 120 myeloma patients previously enrolled in Total Therapy 2. Among the 71 patients with additional GEP baseline information, 3-yr PRS was 71% in 40 patients with low-risk present both at baseline and relapse contrasting with only 17% in 28 patients with relapse high-risk, 12 of whom with baseline low-risk status fared better than the remainder (p=0.08). On multivariate analysis of relapse parameters available in 104 patients, high-risk conferred short PRS (HR=4.00, p<0.001, R(2)=33%) while relapse Hyperdiploidy predicted long PRS (HR=0.37, p=0.022, cumulative R(2)=41%). In case the initial partial response lasted less than 2 years, relapse low-risk identified 26 patients with superior 3-yr PRS of 61% v 9% among 32 with relapse high-risk (p<0.001). Based on its PRS predictive power, GEP analysis should be an integral part of new agent trials in search of better therapy for high-risk myeloma.

Somatically acquired epigenetic changes are present in many cancers. Epigenetic regulation is maintained via post-translational modifications of core histones. Here, we describe inactivating somatic mutations in the histone lysine demethylase gene UTX, pointing to histone H3 lysine methylation deregulation in multiple tumor types. UTX reintroduction into cancer cells with inactivating UTX mutations resulted in slowing of proliferation and marked transcriptional changes. These data identify UTX as a new human cancer gene.

Pre-existing plasma cell disorders, monoclonal gammopathy of undetermined significance or smoldering myeloma, are present in at least one-third of multiple myeloma patients. However, the proportion of patients with a pre-existing plasma cell disorder has never been determined by laboratory testing on pre-diagnostic sera. We cross-referenced our autologous stem cell transplant database with the Department of Defense Serum Repository. Serum protein electrophoresis (SPEP), immunofixation electrophoresis (IFE) and serum free light chain analysis (sFLC) were performed on all sera collected two or more years prior to diagnosis to detect a monoclonal gammopathy (M-Ig). In 30 of 90 patients, 110 pre-diagnostic samples were available from 2.2-15.3 years prior to diagnosis. A M-Ig was detected in 27 of 30 patients (90%, 95% CI 74-97%); by SPEP and/or IFE in 21 patients (77.8%), and only by sFLC in six patients (22.2%). Four patients had only one positive sample within four years prior to diagnosis, with all preceding sera negative. All four patients with light-chain/non-secretory myeloma evolved from a light-chain M-Ig. A pre-existing M-Ig is present in most MM patients prior to diagnosis. Some patients progress rapidly through a pre-malignant phase. Light-chain detected M-Ig is a new entity that requires further study.

Familial clustering of the precursor condition, monoclonal gammopathy of undetermined significance (MGUS) has been observed in case reports and in smaller studies. Using population-based data from Sweden, we identified 4,458 MGUS patients, 17,505 population-based controls, and first-degree relatives of patients (n=14,621) and controls (n=58,387) with the aim to assess risk of MGUS and lymphoproliferative malignancies among first-degree relatives of MGUS patients. Compared to relatives of controls, relatives of MGUS patients had increased risk of MGUS (RR=2.8;1.4-5.6), multiple myeloma (MM) (RR=2.9;1.9-4.3), lymphoplasmacytic lymphoma/Waldenstrom's macroglobulinemia (LPL/WM) (RR=4.0;1.5-11), and chronic lymphocytic leukemia (CLL) (RR=2.0;1.2-2.3). Relatives of patients with IgG/IgA MGUS had a 4.0-fold (1.7-9.2), 2.9-fold (1.7-4.9), and 20-fold (2.3-170) elevated risk of developing MGUS, MM, and LPL/WM, respectively. Relatives of IgM MGUS patients had 5.0-fold (1.1-23) increased CLL risk and non-significant excess MM and LPL/WM risks. The results were very similar when we assessed risk by type of first-degree relative, age at MGUS (above/below 65 years), or sex. Risk of NHL or HL was not increased among MGUS relatives. Among first-degree relatives of a nationwide MGUS cohort, we found elevated risks of MGUS, MM, LPL/WM, and CLL, supporting a role for germline susceptibility genes, shared environmental influences, or an interaction between both.

We examined whether monoclonal gammopathy of undetermined significance (MGUS) is increased in first-degree relatives of multiple myeloma (MM) or MGUS patients. Probands were recruited from a population-based prevalence study (MGUS) and the Mayo Clinic (MM). Serum samples were collected from first-degree relatives over age 40 and subjected to electrophoresis and immunofixation. The prevalence of MGUS in relatives was compared to population-based rates. 911 relatives of 232 MM and 97 MGUS probands were studied. By electrophoresis, MGUS was detected in the serum of 55 (6%), and immunofixation identified 28 additional relatives for an age- and sex-adjusted prevalence of 8.1% (95% CI, 6.3 to 9.8). The prevalence of MGUS in relatives increased with age (1.9%, 6.9%, 11.6%, 14.6%, and 21.0% for ages 40-49, 50-59, 60-69, 70-79 and >/=80; P<0.001). Using similar MGUS detection methods, there was a higher risk of MGUS in relatives (age-adjusted risk ratio (RR), 2.6; 95% CI, 1.9 to 3.4) compared to the reference population. The increased risk was seen among relatives of MM (RR, 2.0; 95% CI, 1.4 to 2.8) and MGUS probands (RR, 3.3; 95% CI, 2.1 to 4.8). The increased risk of MGUS in first-degree relatives of MGUS or MM patients implies shared environment and/or genetics.

Monoclonal gammopathy of undetermined significance (MGUS) is a pre-malignant plasma-cell proliferative disorder associated with a life-long risk of progression to multiple myeloma (MM). It is not known whether MM is always preceded by a pre-malignant asymptomatic MGUS stage. Among 77,469 healthy adults enrolled in the nationwide population-based prospective PLCO (Prostate, Lung, Colorectal and Ovarian) Cancer Screening Trial, we identified 71 individuals who developed MM during the course of the study in whom serially-collected (up to 6) pre-diagnostic serum samples obtained 2-9.8 years prior to MM diagnosis were available. Using assays for monoclonal (M)-proteins (electrophoresis/immunofixation) and kappa-lambda free light chains (FLC), we determined longitudinally the prevalence of MGUS and characterized patterns of monoclonal immunoglobulin abnormalities prior to MM diagnosis. MGUS was present in 100.0% (87.2-100.0%), 98.3% (90.8-100.0%), 97.9% (88.9-100.0%), 94.6% (81.8-99.3%), 100.0% (86.3-100.0%), 93.3% (68.1-99.8%), and 82.4% (56.6-96.2%) at 2, 3, 4, 5, 6, 7, and 8+ years prior to MM diagnosis, respectively. In about half the study population, the M-protein concentration and involved FLC-ratio levels showed a yearly increase prior to MM diagnosis. In the present study, an asymptomatic MGUS stage preceded the diagnosis of MM in all cases. Novel molecular markers are needed to better predict progression to MM in individuals with MGUS.

Translocations involving an MYC gene (c >> N >>L) are very late tumor progression events and provide a paradigm for secondary translocations in multiple myeloma. Using a combination of fluorescent in situ hybridization and comparative genomic hybridization arrays (aCGH), we have identified rearrangements of an MYC gene in 40 of 43 independent myeloma cell lines. A majority of MYC translocations involve an Ig locus (IgH > Ig{lambda} >> Ig{kappa}), but the breakpoints only infrequently occur near or within switch regions or V(D)J sequences. Surprisingly, about 40% of MYC translocations do not involve an Ig locus. The MYC translocations mostly are nonreciprocal translocations or insertions, often with the involvement of three chromosomes and sometimes with associated duplication, amplification, inversion, and other associated chromosomal abnormalities. High-density aCGH analyses should facilitate the cloning of MYC breakpoints, enabling the determination of their structures and perhaps elucidating how rearrangements not involving an Ig gene cause dysregulation of an MYC gene.

To better understand the signaling properties of oncogenic FGFR3, we performed phospho-proteomics studies to identify potential downstream signaling effectors that are tyrosine phosphorylated in hematopoietic cells expressing constitutively activated leukemogenic FGFR3 mutants. We found that FGFR3 directly tyrosine phosphorylates the serine/threonine kinase p90RSK2 at Y529, which consequently regulates RSK2 activation by facilitating inactive ERK binding to RSK2 that is required for ERK-dependent phosphorylation and activation of RSK2. Moreover, inhibition of RSK2 by siRNA or a specific RSK inhibitor fmk effectively induced apoptosis in FGFR3-expressing human t(4;14)-positive myeloma cells. Our findings suggest that FGFR3 mediates hematopoietic transformation by activating RSK2 in a two-step fashion, promoting both the ERK-RSK2 interaction and subsequent phosphorylation of RSK2 by ERK.

Activation of NF-kappaB has been noted in many tumor types, however only rarely has this been linked to an underlying genetic mutation. An integrated analysis of high-density oligonucleotide array CGH and gene expression profiling data from 155 multiple myeloma samples identified a promiscuous array of abnormalities contributing to the dysregulation of NF-kappaB in approximately 20% of patients. We report mutations in ten genes causing the inactivation of TRAF2, TRAF3, CYLD, cIAP1/cIAP2 and activation of NFKB1, NFKB2, CD40, LTBR, TACI, and NIK that result primarily in constitutive activation of the noncanonical NF-kappaB pathway, with the single most common abnormality being inactivation of TRAF3. These results highlight the critical importance of the NF-kappaB pathway in the pathogenesis of multiple myeloma.

Mechanisms of constitutive NF-kappaB signaling in multiple myeloma are unknown. An inhibitor of IkappaB kinase beta (IKKbeta) targeting the classical NF-kappaB pathway was lethal to many myeloma cell lines. Several cell lines had elevated expression of NIK due to genomic alterations or protein stabilization, while others had inactivating mutations of TRAF3; both kinds of abnormality triggered the classical and alternative NF-kappaB pathways. A majority of primary myeloma patient samples and cell lines had elevated NF-kappaB target gene expression, often associated with genetic or epigenetic alteration of NIK, TRAF3, CYLD, BIRC2/BIRC3, CD40, NFKB1, or NFKB2. These data demonstrate that addiction to the NF-kappaB pathway is frequent in myeloma and suggest that IKKbeta inhibitors hold promise for the treatment of this disease.

To better define the molecular basis of multiple myeloma (MM), we performed unsupervised hierarchic clustering of mRNA expression profiles in CD138-enriched plasma cells from 414 newly diagnosed patients who went on to receive high-dose therapy and tandem stem cell transplants. Seven disease subtypes were validated that were strongly influenced by known genetic lesions, such as c-MAF- and MAFB-, CCND1- and CCND3-, and MMSET-activating translocations and hyperdiploidy. Indicative of the deregulation of common pathways by gene orthologs, common gene signatures were observed in cases with c-MAF and MAFB activation and CCND1 and CCND3 activation, the latter consisting of 2 subgroups, one characterized by expression of the early B-cell markers CD20 and PAX5. A low incidence of focal bone disease distinguished one and increased expression of proliferation-associated genes of another novel subgroup. Comprising varying fractions of each of the other 6 subgroups, the proliferation subgroup dominated at relapse, suggesting that this signature is linked to disease progression. Proliferation and MMSET-spike groups were characterized by significant overexpression of genes mapping to chromosome 1q, and both exhibited a poor prognosis relative to the other groups. A subset of cases with a predominating myeloid gene expression signature, excluded from the profiling analyses, had more favorable baseline characteristics and superior prognosis to those lacking this signature.

Bone marrow plasma cells (PCs) from 74 patients with newly diagnosed multiple myeloma (MM), 5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy volunteers (normal PCs) were purified by CD138(+) selection. Gene expression of purified PCs and 7 MM cell lines were profiled using high-density oligonucleotide microarrays interrogating about 6800 genes. On hierarchical clustering analysis, normal and MM PCs were differentiated and 4 distinct subgroups of MM (MM1, MM2, MM3, and MM4) were identified. The expression pattern of MM1 was similar to normal PCs and MGUS, whereas MM4 was similar to MM cell lines. Clinical parameters linked to poor prognosis, abnormal karyotype (P =.002) and high serum beta(2)-microglobulin levels (P =.0005), were most prevalent in MM4. Also, genes involved in DNA metabolism and cell cycle control were overexpressed in a comparison of MM1 and MM4. In addition, using chi(2) and Wilcoxon rank sum tests, 120 novel candidate disease genes were identified that discriminate normal and malignant PCs (P <.0001); many are involved in adhesion, apoptosis, cell cycle, drug resistance, growth arrest, oncogenesis, signaling, and transcription. A total of 156 genes, including FGFR3 and CCND1, exhibited highly elevated ("spiked") expression in at least 4 of the 74 MM cases (range, 4-25 spikes). Elevated expression of these 2 genes was caused by the translocation t(4;14)(p16;q32) or t(11;14)(q13;q32). Thus, novel candidate MM disease genes have been identified using gene expression profiling and this profiling has led to the development of a gene-based classification system for MM.

We report the cytogenetic results obtained in 81 multiple myeloma (MM) patients with abnormal karyotypes. Most karyotypes were complex with numerical and structural abnormalities but the analysis of chromosomal abnormalities allowed identification of two cytogenetic patterns depending on the chromosome number: a first hyperdiploid pattern (54%) with recurrent trisomies 3, 5, 7, 9, 11, 15 and 19 and a second pattern (46%) showing either pseudodiploid, hypodiploid or near-tetraploid karyotypes. Structural abnormalities were present in all but five hyperdiploid karyotypes, and frequently involved lymphoid breakpoints: immunoglobulin gene regions (36 cases) or chromosome 11q13 region (21 cases). Numerous other structural aberrations were detected; the most frequent involved chromosome 1 and chromosome 13. Structural abnormalities were significantly more frequent in the second hypodiploid group. When analyzing the results obtained in the 60 patients studied at the time of diagnosis, a prognostic correlation was found between the cytogenetic pattern and overall survival: hyperdiploid patients had a longer survival than patients belonging to the pseudo/hypo/near-tetraploid group (median survival 36.8 vs 18.2 months, P < 0.04). These results suggest that MM could correspond to two closely related diseases.

Reciprocal chromosomal translocations, which are mediated by errors in immunoglobulin heavy chain (IgH) switch recombination or somatic hypermutation as plasma cells are generated in germinal centers, are present in most multiple myeloma (MM) tumors. These translocations dysregulate an oncogene that is repositioned in proximity to a strong IgH enhancer. There is a promiscuous array of nonrandom chromosomal partners (and oncogenes), with the 3 most frequent partners (11q13 [cyclin D1]; 4p16 [FGFR3 and MMSET]; 16q23 [c-maf]) involved in nearly half of MM tumors. It is now shown that a novel t(6;14)(p21;q32) translocation is present in 1 of 30 MM cell lines and that this cell line uniquely overexpresses cyclin D3. The cloned breakpoint juxtaposes gamma 4 switch sequences with 6p21 sequences that are located about 65 kb centromeric to the cyclin D3 gene. By metaphase chromosome analysis, the t(6;14) (p21;q32) translocation was identified in 6 of 150 (4%) primary MM tumors. Overexpression of cyclin D3 messenger RNA (mRNA) was identified by microarray RNA expression analysis in 3 of 53 additional primary MM tumors, each of which was found to have a t(6;14) translocation breakpoint by interphase fluorescence in situ hybridization analysis. One tumor has a t(6;22)(p21;q11) translocation, so that cyclin D3 is bracketed by the IgL and IgH breakpoints. These results provide the first clear evidence for primary dysregulation of cyclin D3 during tumorigenesis. It is suggested that the initial oncogenic event for most MM tumors is a primary immunoglobulin translocation that dysregulates cyclin D1, cyclin D3, and other oncogenes to provide a proliferative stimulus to postgerminal center plasma cells.

Multicolor spectral karyotyping (SKY) was performed on bone marrow samples from 50 patients with multiple myeloma (MM) in anticipation of discovering new previously unidentified translocations. All samples showed complex karyotypes with chromosome aberrations which, in most cases, were not fully characterized by G-banding. Patients of special interest were those who showed add(14)(q32), add(8)(q24) and those whose G-banding karyotypes showed poor chromosome morphology. Three new recurring chromosome translocations not previously reported in MM were identified. Two of the translocations involve recurring aberrations at band 14q32.3, the site of the IgH locus, with different exchange partners. The most frequently recurring rearrangement was a subtle translocation at 14q32.3 designated as a t(14;16)(q32;q22 approximately 23), which was identified in six patients. A second and larger translocation at 14q32, identified in two patients, was designated as a t(9;14)(p13;q32), previously associated with Waldenstrom's macroglobulinemia and lymphoplasmacytoid lymphoma. A third translocation, identified in two patients, involved a whole-arm t(6;8)(p10;q10) translocation. The SKY technique was able to refine the designations of over 156 aberrations not fully characterized by G-banding in this study and resolved additional chromosome aberrations in every patient studied except two. The t(14;16)(q32;q22 approximately 23) identified by SKY in this study suggests this may be a frequent translocation in MM associated with complex karyotypes and disease progression. Therefore, the SKY technique provides a useful adjunct to routine G-banding and fluorescence in situ hybridization studies in the cytogenetic analysis of MM.

The aims of this study were to assess the feasibility of prospective pharmacogenomics research in multicenter international clinical trials of bortezomib in multiple myeloma and to develop predictive classifiers of response and survival with bortezomib. Patients with relapsed myeloma enrolled in phase 2 and phase 3 clinical trials of bortezomib and consented to genomic analyses of pretreatment tumor samples. Bone marrow aspirates were subject to a negative-selection procedure to enrich for tumor cells, and these samples were used for gene expression profiling using DNA microarrays. Data quality and correlations with trial outcomes were assessed by multiple groups. Gene expression in this dataset was consistent with data published from a single-center study of newly diagnosed multiple myeloma. Response and survival classifiers were developed and shown to be significantly associated with outcome via testing on independent data. The survival classifier improved on the risk stratification provided by the International Staging System. Predictive models and biologic correlates of response show some specificity for bortezomib rather than dexamethasone. Informative gene expression data and genomic classifiers that predict clinical outcome can be derived from prospective clinical trials of new anticancer agents.

The oncogene c-maf is translocated in approximately 5%-10% of multiple myelomas. Unexpectedly, we observed c-maf expression in myeloma cell lines lacking c-maf translocations and in 50% of multiple myeloma bone marrow samples. By gene expression profiling, we identified three c-maf target genes: cyclin D2, integrin beta7, and CCR1. c-maf transactivated the cyclin D2 promoter and enhanced myeloma proliferation, whereas dominant inhibition of c-maf blocked tumor formation in immunodeficient mice. c-maf-driven expression of integrin beta7 enhanced myeloma adhesion to bone marrow stroma and increased production of VEGF. We propose that c-maf transforms plasma cells by stimulating cell cycle progression and by altering bone marrow stromal interactions. The frequent overexpression of c-maf in myeloma makes it an attractive target for therapeutic intervention.

Multiple myeloma remains largely incurable despite conventional and high-dose therapies, and so novel biologically based treatment approaches are urgently required. Recent studies have characterized the molecular mechanisms by which multiple myeloma cell-host bone-marrow interactions regulate tumour cell growth, survival and migration in the bone-marrow microenvironment. These studies have not only enhanced our understanding of disease pathogenesis, but have also provided the framework for a new treatment model that targets the multiple myeloma cell in its bone-marrow microenvironment to overcome drug resistance and improve patient outcome.

Oncogenes are often dysregulated in B cell tumors as a result of a reciprocal translocation involving an immunoglobulin locus. The translocations are caused by errors in two developmentally regulated DNA recombination processes: V(D)J and IgH switch recombination. Both processes share the property of joining discontinuous sequences from one chromosome and releasing intervening sequences as circles that are lost from progeny cells. Here we show that these intervening sequences may instead insert in the genome and that during productive IgH mu-epsilon switch recombination in U266 myeloma tumor cells, a portion of the excised IgH switch intervening sequences containing the 3' alpha-1 enhancer has inserted on chromosome 11q13, resulting in overexpression of the adjacent cyclin D1 oncogene.

Aneuploid is ubiquitous in multiple myeloma (MM), and 4 cytogenetic subcategories are recognized: hypodiploid (associated with a shorter survival), pseudodiploid, hyperdiploid, and near-tetraploid MM. The hypodiploid, pseudodiploid, and near-tetraploid karyotypes can be referred to as the nonhyperdiploid MM. Immunoglobulin heavy-chain (IgH) translocations are seen in 60% of patients. We studied the relation between aneuploidy and IgH translocations in MM. Eighty patients with MM and abnormal metaphases were studied by means of interphase fluorescent in situ hybridization (FISH) to detect IgH translocations. We also studied a second cohort of 199 patients (Eastern Cooperative Oncology Group [ECOG]) for IgH translocations, chromosome 13 monosomy/deletions (Delta13), and ploidy by DNA content. Mayo Clinic patients with abnormal karyotypes and FISH-detected IgH translocation were more likely to be nonhyperdiploid (89% versus 39%, P <.0001). Remarkably, 88% of tested patients with hypodiploidy (16 of 18) and 90% of tested patients with tetraploidy (9 of 10) had an IgH translocation. ECOG patients with IgH translocations were more likely to have nonhyperdiploid MM by DNA content (68% versus 21%, P <.001). This association was seen predominantly in patients with recurrent chromosome partners to the IgH translocation (11q13, 4p16, and 16q23). The classification of MM into hyperdiploidy and nonhyperdiploidy is dictated largely by the recurrent (primary) IgH translocations in the latter.

Much has been learned regarding the biology and clinical implications of genetic abnormalities in multiple myeloma. Because of recent advances in the field, an International Workshop was held in Paris in february of 2003. This summary describes the consensus recommendations arising from that meeting with special emphasis on novel genetic observations. For instance, it is increasingly clear that translocations involving the immunoglobin heavy-chain locus are important for the pathogenesis of one-half of patients. As a corollary, it also clear that the remaining patients, lacking IgH translocations, have hyperdiploidy as the hallmark of their disease. Several important genetic markers are associated with a shortened survival such as chromosome 13 monosomy, hypodiploidy, and others. The events leading the transformation of the monoclonal gammopathy of undetermined significance (MGUS) to myeloma are still unclear. One of the few differential genetic lesions between myeloma and MGUS is the presence of ras mutations in the latter. Gene expression platforms are capable of detecting many of the genetic aberrations found in the clonal cells of myeloma. Areas in need of further study were identified. The study of the genetic aberrations will likely form the platform for targeted therapy for the disease.

The nonrandom recurrent nature of chromosome abnormalities in myeloma suggests a role for them in disease pathogenesis. We performed a careful cytogenetic analysis of patients with abnormal karyotypes (n = 254), to discern patterns of association, search for novel abnormalities and elucidate clinical implications. Patients with karyotypic abnormalities suggestive of myelodysplasia/acute leukemia were excluded. In this study we compared survival by abnormality only between patients with abnormal karyotypes. Patients with abnormalities were more likely to have features of aggressive disease as compared to all other patients without abnormalities entered into the myeloma database (lower hemoglobin, higher beta(2)-microglobulin, labeling-index and plasmocytosis; all P < 0.0001). Several groups of patients could be readily identified; hypodiploid (22%), pseudodiploid (36%), hyperdiploid (31%) and near-tetraploid (11%). Clustering associations were seen among several trisomies and monosomy of chromosome 13 and 14. Several monosomies (-2, -3, -13, -14 and -19), 1p translocations/ deletions, and hypodiploidy were associated with a significantly shorter survival. Trisomy of chromosome 13 was rare ( <2%). Even among patients with abnormal karyotypes, specific chromosome abnormalities can impart biologic variability in myeloma, including several monosomies, hypodiploidy and abnormalities of 1p.

To define specific pathways important in the multistep transformation process of normal plasma cells (PCs) to monoclonal gammopathy of uncertain significance (MGUS) and multiple myeloma (MM), we have applied microarray analysis to PCs from 5 healthy donors (N), 7 patients with MGUS, and 24 patients with newly diagnosed MM. Unsupervised hierarchical clustering using 125 genes with a large variation across all samples defined 2 groups: N and MGUS/MM. Supervised analysis identified 263 genes differentially expressed between N and MGUS and 380 genes differentially expressed between N and MM, 197 of which were also differentially regulated between N and MGUS. Only 74 genes were differentially expressed between MGUS and MM samples, indicating that the differences between MGUS and MM are smaller than those between N and MM or N and MGUS. Differentially expressed genes included oncogenes/tumor-suppressor genes (LAF4, RB1, and disabled homolog 2), cell-signaling genes (RAS family members, B-cell signaling and NF-kappaB genes), DNA-binding and transcription-factor genes (XBP1, zinc finger proteins, forkhead box, and ring finger proteins), and developmental genes (WNT and SHH pathways). Understanding the molecular pathogenesis of MM by gene expression profiling has demonstrated sequential genetic changes from N to malignant PCs and highlighted important pathways involved in the transformation of MGUS to MM.

Hyperdiploid and non-hyperdiploid multiple myeloma represents distinct biological entities characterized by different patterns of genetic changes. We sought to determine whether ploidy category (non-hyperdiploid versus hyperdiploid) remains stable over time from diagnosis to progression. Of the 43 patients studied (39 by flow cytometry DNA index and 4 by a FISH-based index), only five (12%) altered their ploidy status at progression. In three of these patients, the change may possibly be attributable to technical artifacts because of the low absolute change in DNA index. For those who retain their ploidy subtypes, the DNA index change minimally (3.75+/-4.87%). It would appear that the initiating genetic events underlying hyperdiploid and non-hyperdiploid MM that marks them out as distinct entities continue to dominate and persist during disease evolution and progression.

Two major genetic categories of multiple myeloma (MM) exist. Hyperdiploid MM (48 to 74 chromosomes, median 53 chromosomes) is associated with trisomies especially of chromosomes 3, 7, 9, 11, 15, and 19, whereas the nonhyperdiploid (< 48 chromosomes or more than 74 chromosomes) MM is associated with primary translocations such as t(11;14), t(4;14), and t(14;16). Whether this dichotomy exists in monoclonal gammopathy of undetermined significance (MGUS) is uncertain due to limitations of current methods in the study of ploidy. This is especially true in MGUS where the number of clonal plasma cells is small. In this study, we derived a fluorescent in situ hybridization (FISH)-based trisomy index from pooled cytogenetic data (karyotype analysis) from 2 large cohorts of patients with MM with abnormal karyotype, and then validated it in 2 independent cohorts of patients who had known ploidy status either by karyotyping or DNA content measurement using flow cytometry. Using the criteria of 2 or more trisomies from a 3-chromosome combination, hyperdiploid myeloma can be detected with high specificity. Applying this index on 28 patients with smoldering multiple myeloma (SMM) or MGUS (11 SMM, 17 MGUS) who had normal karyotype, 11 cases of hyperdiploid SMM/MGUS were detected. This percentage (40%) is remarkably similar to the percentage of hyperdiploid MM reported in the literature, suggesting that hyperdiploid MM may originate early during disease evolution.

Chromosomal hyperdiploidy is the defining genetic signature in 40-50% of myeloma (MM) patients. We characterize hyperdiploid-MM (H-MM) in terms of its clinical and prognostic features in a cohort of 220 H-MM patients entered into clinical trials. Hyperdiploid-myeloma is associated with male sex, kappa immunoglobulin subtype, symptomatic bone disease and better survival compared to nonhyperdiploid-MM (median overall survival 48 vs 35 months, log-rank P = 0.023), despite similar response to treatment. Among 108 H-MM cases with FISH studies for common genetic abnormalities, survival is negatively affected by the existence of immunoglobulin heavy chain (IgH) translocations, especially those involving unknown partners, while the presence of chromosome 13 deletion by FISH did not significantly affect survival (median overall survival 50 vs 47 months, log-rank P = 0.47). Hyperdiploid-myeloma is therefore a unique genetic subtype of MM associated with improved outcome with distinct clinical features. The existence of IgH translocations but not chromosome 13 deletion by FISH negatively impacts survival and may allow further risk stratification of this population of MM patients.

Hyperdiploid multiple myeloma (H-MM) is the most common form of myeloma. In this gene expression profiling study, we show that H-MM is defined by a protein biosynthesis signature that is primarily driven by a gene dosage mechanism as a result of trisomic chromosomes. Within H-MM, four independently validated patient clusters overexpressing nonoverlapping sets of genes that form cognate pathways/networks that have potential biological importance in multiple myeloma were identified. One prominent cluster, cluster 1, is characterized by high expression of cancer testis antigen and proliferation-associated genes. Tumors from these patients were more proliferative than tumors in other clusters (median plasma cell labeling index, 3.8; P < 0.05). Another cluster, cluster 3, is characterized by genes involved in tumor necrosis factor/nuclear factor-kappaB signaling and antiapoptosis. These patients have better response to bortezomib as compared with patients within other clusters (70% versus 29%; P = 0.02). Furthermore, for a group of patients generally thought to have better prognosis, a cluster of patients with short survival (cluster 1; median survival, 27 months) could be identified. This analysis illustrates the heterogeneity within H-MM and the importance of defining specific cytogenetic prognostic factors. Furthermore, the signatures that defined these clusters may provide a basis for tailoring treatment to individual patients. [Cancer Res 2007;67(7):2982-9].

Previously we reported that a karyotypically silent t(4;14)(p16. 3;q32.3) translocation is present in about 25% of multiple myeloma (MM) tumors, and causes overexpression of FGFR3, which is 50 to 100 kb telomeric to the 4p16 breakpoints. Frequent FGFR3 kinase activating mutations in MM with t(4;14) translocations substantiate an oncogenic role for FGFR3. We now report that the 4p16 breakpoints occur telomeric to and within the 5' introns of a novel gene, MMSET (Multiple Myeloma SET domain). In normal tissues, MMSET has a complex pattern of expression with a short form (647 amino acids [aa]) containing an HMG box and hath region, and an alternatively spliced long form (1365 aa) containing the HMG box and hath region plus 4 PHD fingers and a SET domain. Although t(4;14) translocation results in IgH/MMSET hybrid transcripts, overexpression of MMSET also occurs from endogenous promoters on 4p16. Given the homology to HRX/MLL1/ALL1 at 11q23 that is dysregulated by translocations in acute leukemia, we hypothesize that dysregulation of MMSET contributes to neoplastic transformation in MM with t(4;14) translocation. This is the first example of an IgH translocation that simultaneously dysregulates two genes with oncogenic potential: FGFR3 on der(14) and MMSET on der(4).

Dysregulation of oncogenes by translocation to the IgH locus (14q32) is a seminal event in the pathogenesis of B-cell tumours. In multiple myeloma (MM), translocations to the IgH locus have been reported at an incidence of 20-60%. For most translocations, the partner chromosome is unknown (14q+); for the others, a diverse array of chromosomal partners have been identified, with 11q13 (cyclin D1) the only chromosome that is frequently involved. Recently, we developed a Southern-blot assay that detects translocation breakpoint fragments in most MM tumours, including those with no translocation detected by conventional karyotyping. In a continuing analysis of translocation in 21 myeloma cell lines and primary tumours, we show that the novel, karyotypically silent translocation t(4;14)(p16.3;q32.3) is present in five lines and at least three of ten primary tumours. The chromosome-4 breakpoints are clustered in a 70-kb region centromeric to the fibroblast growth factor receptor 3 gene (FGFR3), the apparent dysregulated oncogene. Two lines and one primary tumour with this translocation selectively express an FGFR3 allele containing activating mutations identified previously in thanatophoric dwarfism. We propose that after the t(4;14) translocation, somatic mutation during tumour progression frequently generates in FGFR3 protein that is active in the absence of ligand.

The t(4;14) translocation occurs frequently in multiple myeloma (MM) and results in the simultaneous dysregulated expression of 2 potential oncogenes, FGFR3 (fibroblast growth factor receptor 3) from der(14) and multiple myeloma SET domain protein/Wolf-Hirschhorn syndrome candidate gene 1 from der(4). It is now shown that myeloma cells carrying a t(4;14) translocation express a functional FGFR3 that in some cases is constitutively activated by the same mutations that cause thanatophoric dysplasia. As with activating mutations of K-ras and N-ras, which are reported in approximately 40% of patients with MM, activating mutations of FGFR3 occur during tumor progression. However, the constitutive activation of ras and FGFR3 does not occur in the same myeloma cells. Thus the activated forms of these proteins appear to share an overlapping role in tumor progression, suggesting that they also share the signaling cascade. Consistent with this prediction, it is shown that activated FGFR3-when expressed at levels similar to those seen in t(4;14) myeloma-is an oncogene that acts through the MAP kinase pathway to transform NIH 3T3 cells, which can then generate tumors in nude mice. Thus, FGFR3, when overexpressed in MM, may be not only oncogenic when stimulated by FGF ligands in the bone marrow microenvironment, but is also a target for activating mutations that enable FGFR3 to play a ras-like role in tumor progression.

Dysregulation of oncogenes by translocation to an IgH (14q32) or IgL (kappa, 2p11 or lambda, 22q11) locus is a frequent event in the pathogenesis of B-cell tumors. Translocations involving an IgH locus and a diverse but nonrandom array of chromosomal loci occur in most multiple myeloma (MM) tumors even though the translocations often are not detected by conventional cytogenetic analysis. In a continuing analysis of translocations in 21 MM lines, we show that the novel, karyotypically silent t(14;16)(q32.3;q23) translocation is present in 5 MM lines, with cloned breakpoints from 4 lines dispersed over an approximately 500-kb region centromeric to the c-maf proto-oncogene at 16q23. Another line has a t(16;22)(q23;q11), with the breakpoint telomeric to c-maf, so that the translocation breakpoints in these 6 lines bracket c-maf. Only these 6 lines overexpress c-maf mRNA. As predicted for dysregulation of c-maf by translocation, there is selective expression of one c-maf allele in 2 informative lines with translocations. This is the first human tumor in which the basic zipper c-maf transcription factor is shown to function as an oncogene.

Translocations involving the IgH locus at chromosomal locus 14q32.3 are a common event in many B-cell malignancies. The translocations, which generally occur into JH and switch regions, are mediated by errors in the two developmentally regulated, lymphocyte-specific pathways: VDJ-and switch-mediated recombination. Dysregulation of cyclin D1 by a t(11;14)(q13;q32) translocation occurs in most cases of mantle-cell lymphoma and in approximately 30% of multiple myeloma (MM) tumors in which a 14q32 translocation can be detected. We show here that in two of three myeloma lines that overexpress cyclin D1, there is an 11;14 translocation into a gamma switch region, suggesting an error in switch recombination. By contrast, 11;14 translocations in mantlecell lymphoma are invariably into or near a JH segment, suggesting an error in VDJ recombination. This is consistent with the fact that myeloma cells have undergone lgH switch recombination, whereas mantle-cell lymphoma cells generally have not.

To identify genetic events underlying the genesis and progression of multiple myeloma (MM), we conducted a high-resolution analysis of recurrent copy number alterations (CNAs) and expression profiles in a collection of MM cell lines and outcome-annotated clinical specimens. Attesting to the molecular heterogeneity of MM, unsupervised classification using nonnegative matrix factorization (NMF) designed for array comparative genomic hybridization (aCGH) analysis uncovered distinct genomic subtypes. Additionally, we defined 87 discrete minimal common regions (MCRs) within recurrent and highly focal CNAs. Further integration with expression data generated a refined list of MM gene candidates residing within these MCRs, thereby providing a genomic framework for dissection of disease pathogenesis, improved clinical management, and initiation of targeted drug discovery for specific MM patients.

Multiple myeloma (MM) evolves from a highly prevalent premalignant condition termed MGUS. The factors underlying the malignant transformation of MGUS are unknown. We report a MGUS/MM phenotype in transgenic mice with Emu-directed expression of the XBP-1 spliced isoform (XBP-1s), a factor governing unfolded protein/ER stress response and plasma-cell development. Emu-XBP-1s elicited elevated serum Ig and skin alterations. With age, Emu-xbp-1s transgenics develop features diagnostic of human MM, including bone lytic lesions and subendothelial Ig deposition. Furthermore, transcriptional profiles of Emu-xbp-1s lymphoid and MM cells show aberrant expression of known human MM dysregulated genes. The similarities of this model with the human disease, coupled with documented frequent XBP-1s overexpression in human MM, serve to implicate XBP-1s dysregulation in MM pathogenesis.

Two oncogenic pathways have been hypothesized for multiple myeloma (MM) and premalignant monoclonal gammopathy of undetermined significance (MGUS) tumors: a nonhyperdiploid pathway associated with a high prevalence of IgH translocations and a hyperdiploid pathway associated with multiple trisomies of 8 chromosomes. Cyclin D1, D2, or D3 expression appears to be increased and/or dysregulated in virtually all MM tumors despite their low proliferative capacity. Translocations can directly dysregulate CCND1 (11q13) or CCND3 (6p21), or MAF (16q23) or MAFB (20q11) transcription factors that target CCND2. Biallelic dysregulation of CCND1 occurs in nearly 40% of tumors, most of which are hyperdiploid. Other tumors express increased CCND2, either with or without a t(4;14) translocation. Using gene expression profiling to identify 5 recurrent translocations, specific trisomies, and expression of cyclin D genes, MM tumors can be divided into 8 TC (translocation/cyclin D) groups (11q13, 6p21, 4p16, maf, D1, D1+D2, D2, and none) that appear to be defined by early, and perhaps initiating, oncogenic events. However, despite subsequent progression events, these groups have differing gene expression profiles and also significant differences in the prevalence of bone disease, frequency at relapse, and progression to extramedullary tumor.

Multiple myeloma (MM), a malignant tumor of somatically mutated, isotype-switched plasma cells (PC), usually arises from a common benign PC tumor called Monoclonal Gammopathy of Undetermined Significance (MGUS). MM progresses within the bone marrow, and then to an extramedullary stage from which MM cell lines are generated. The incidence of IgH translocations increases with the stage of disease: 50% in MGUS, 60-65% in intramedullarly MM, 70-80% in extramedullary MM, and >90% in MM cell lines. Primary, simple reciprocal IgH translocations, which are present in both MGUS and MM, involve many partners and provide an early immortalizing event. Four chromosomal partners appear to account for the majority of primary IgH translocations: 11q13 (cyclin D1), 6p21 (cyclin D3), 4p16 (FGFR3 and MMSET), and 16q23 (c-maf). They are mediated primarily by errors in IgH switch recombination and less often by errors in somatic hypermutation, with the former dissociating the intronic and 3' enhancer(s), so that potential oncogenes can be dysregulated on each derivative chromosome (e.g., FGFR3 on der14 and MMSET on der4). Secondary translocations, which sometimes do not involve Ig loci, are more complex, and are not mediated by errors in B cell specific DNA modification mechanisms. They involve other chromosomal partners, notably 8q24 (c-myc), and are associated with tumor progression. Consistent with MM being the malignant counterpart of a long-lived PC, oncogenes dysregulated by primary IgH translocations in MM do not appear to confer an anti-apoptotic effect, but instead increase proliferation and/or inhibit differentiation. The fact that so many different primary transforming events give rise to tumors with the same phenotype suggests that there is only a single fate available for the transformed cell.

Patients with myeloma, treated on the thalidomide arm of total therapy 2 (TT2), had a higher complete response (CR) rate and improved event-free survival (EFS) but not overall survival (OS). To evaluate the benefit of TT2's posttandem autotransplant consolidation chemotherapy and dexamethasone maintenance, outcomes were compared on TT2 without thalidomide (n = 345; median follow-up, 3.5 years) and on predecessor trial TT1 (n = 231; median follow-up, 11.5 years). CR rates were similar (43% vs 41%); however, 5-year estimates of continuous CR (45% vs 32%, P < .001) and 5-year EFS (43% vs 28%, P < .001) were superior with TT2, with a trend for improved OS (62% vs 57%; P = .11). OS was also superior among patients achieving CR and receiving the second transplantation early after the first transplantation. Superior EFS and OS with TT2 versus TT1 was noted in the two thirds presenting without cytogenetic abnormalities (CAs); 4-year posttandem transplantation OS for patients with CAs was 47% with TT1 and 76% with TT2 when combination chemotherapy rather than DEX was applied for consolidation (P = .040). Thus, TT2 (without thalidomide) improved OS of patients without CAs; those with CAs benefited from posttransplantation consolidation chemotherapy. The favorable effects of CR and rapidly sequenced second transplantation attest to the validity of a melphalan dose-response effect in myeloma.

Multiple myeloma is a neoplasm of terminally differentiated B cells (plasma cells) in which chromosome translocations frequently place oncogenes under the control of immunoglobulin enhancers. Unlike most haematopoietic cancers, multiple myeloma often has complex chromosomal abnormalities that are reminiscent of epithelial tumours. What causes full-blown myeloma? And can our molecular understanding of this common haematological malignancy be used to develop effective preventive and treatment strategies?