Comparative genomic hybridisation identifies two variants of smoldering multiple myeloma

The molecular make up of smoldering myeloma highlights the evolutionary pathways leading to multiple myeloma

Smoldering myeloma (SMM) is associated with a high-risk of progression to myeloma (MM). We report the results of a study of 82 patients with both targeted sequencing that included a capture of the immunoglobulin and MYC regions. By comparing these results to newly diagnosed myeloma (MM) we show fewer NRAS and FAM46C mutations together with fewer adverse translocations, del(1p), del(14q), del(16q), and del(17p) in SMM consistent with their role as drivers of the transition to MM. KRAS mutations are associated with a shorter time to progression (HR 3.5 (1.5–8.1), p = 0.001). In an analysis of change in clonal structure over time we studied 53 samples from nine patients at multiple time points. Branching evolutionary patterns, novel mutations, biallelic hits in crucial tumour suppressor genes, and segmental copy number changes are key mechanisms underlying the transition to MM, which can precede progression and be used to guide early intervention strategies.

Progression from asymptomatic smoldering multiple myeloma (SMM) to symptomatic Multiple Myeloma occurs at different rates in different patients. Here, the authors report fewer NRAS and FAM46C mutations and adverse translocations in SMM compared to MM, while KRAS mutations are associated with a shorter time to progression.

Multiple Myeloma, Version 3.2021, NCCN Clinical Practice Guidelines in Oncology

Multiple myeloma is a malignant neoplasm of plasma cells that accumulate in bone marrow, leading to bone destruction and marrow failure. This manuscript discusses the management of patients with solitary plasmacytoma, smoldering multiple myeloma, and newly diagnosed multiple myeloma.

High-risk smoldering myeloma versus early detection of multiple myeloma: Current models, goals of therapy, and clinical implications

Multiple myeloma, a bone marrow cancer, is preceded by precursor stages called monoclonal gammopathy of unknown significance and smoldering multiple myeloma. Over the past few years, highly effective and safe therapies have been made available to treat multiple myeloma. This represents a major breakthrough and has major therapeutic implications. Treatment for multiple myeloma has evolved to include treatment of precursor stages (early treatment) as these therapies are shown to be safe and effective also in smoldering myeloma. Randomized studies have shown that early treatment can delay the onset of multiple myeloma and even improve overall survival compared to observation in smoldering myeloma. The best therapeutic course and selection of patients with smoldering myeloma to treat is still a matter of debate. In this manuscript, we review the definition, management, clinical implications of smoldering myeloma and early detection of myeloma in the current context and with up-to-date data.

Risk Stratification in Multiple Myeloma

There are many prognostic variables in multiple myeloma and the difficulty is in deciding which is truly significant. The widely used International Staging System (ISS) does not incorporate genetics, age, and other important variables in its risk stratification. Although it has its own limitations, the recently published Revised International Staging System (R-ISS) that was built upon the framework of ISS, is a more comprehensive and predictive tool for multiple myeloma patients and should be henceforth utilised. We will review the current prognostic variables and their significance in this paper.

Multiple Myeloma, Version 2.2016: Clinical Practice Guidelines in Oncology

Multiple myeloma (MM) is a malignant neoplasm of plasma cells that accumulate in bone marrow, leading to bone destruction and marrow failure. Recent statistics from the American Cancer Society indicate that the incidence of MM is increasing. The NCCN Clinical Practice Guidelines in Oncology (NCCN Guidelines) included in this issue address management of patients with solitary plasmacytoma and newly diagnosed MM.

Dissecting karyotypic patterns in non-hyperdiploid multiple myeloma: an overview on the karyotypic evolution

BACKGROUND

Multiple myeloma (MM) is a plasma cell disorder characterized by the presence of specific genetic and cytogenetic aberrations that define unique subgroups with different outcomes. On the basis of the ploidy status, MM can be subdivided into hyperdiploid MM (H-MM) and non-hyperdiploid MM (NH-MM). NH-MM is an entity that encompasses hypodiploid, pseudodiploid, and near tetraploid MM and is associated with a higher number of immunoglobulin heavy-chain (IgH) translocations.

MATERIALS AND METHODS

We have systematically analyzed the structure of the karyotypic evolution in NH-MM and identified several genetic features of their complex karyotypic patterns.

RESULTS

On the basis of statistical models used in complex karyotypes, we were able to identify the temporal order in which the genetic aberrations occur in NH-MM. In this analysis, whole chromosome losses and IgH translocations were commonly seen, and -13/13q- and t14q32 were defined as early genetic events in the karyotypic evolution of NH-MM. Furthermore, chromosome 1 and 17 abnormalities were associated with a late karyotypic phase of evolution consistent with the recognized pattern of acquired events deemed to be associated with these type of genetic aberrations.

CONCLUSION

Accumulation of genetic aberrations in NH-MM above a threshold results in malignant transformation.

Prognostic factors associated with progression of smoldering multiple myeloma to symptomatic form

BACKGROUND

Smoldering multiple myeloma (SMM) presents a high risk of progression to symptomatic MM (sy-MM). Herein, we analyzed some predictors of development of sy-MM. In 144 patients with SMM, we also compared the risk of progression predicted by bone marrow plasma cell (BMPC) involvement on the bone marrow biopsy (BMB) versus bone marrow aspirates (BMA).

METHODS

From January 1980 to July 2010, 397 patients with SMM observed in 12 centers of the Multiple Myeloma GIMEMA (Gruppo Italiano Malattie EMatologiche dell'Adulto) Latium Working Group have been analyzed. At progression to sy-MM, the severity of clinical presentation was graded according to the need of intensive supportive care.

RESULTS

After a median follow-up of 135 months, the cumulative incidence of progression rates to sy-MM were 45%, 55%, and 75% at 10, 15, and 20 years, respectively. Hemoglobin ≤12.5 g/dL, monoclonal component ≥2.5 g/dL, and BMPC ≥60% were the only parameters negatively affecting the cumulative incidence of progression. In particular, 10 of 397 (2.5%) patients with BMPC ≥60% had a 5.6-fold increased risk of fast progression (within 2 years), which occurred with severe clinical manifestations in 62% of cases. BMB was more sensitive for the detection of BMPC involvement, even though BMA was a more reliable indicator of a rapid progression to sy-MM.

CONCLUSIONS

The highest risk of rapid evolution to sy-MM and the severity of clinical manifestation at the progression suggest that SMM patients with a BMPC ≥60% should be treated soon after diagnosis. Moreover, BMPC is a more reliable index for progression to sy-MM if assessed by BMA.

Multiple myeloma: current perspectives

Multiple myeloma (MM) is a malignancy of terminally differentiated plasma cells characterized by complex genetic aberrations and heterogeneous outcomes. Over the past 25 years, cytogenetic analysis has played a key role in the diagnosis and management of MM. This article reviews the conventional cytogenetics, molecular cytogenetics, and genomic diagnostics of MM and highlights a few recent clinical trials that demonstrate the impact of genetic risk stratification on the treatment of this plasma cell malignancy.

Genomic analysis of high-risk smoldering multiple myeloma

Smoldering myeloma is an asymptomatic plasma cell dyscrasia with a heterogeneous propensity to progress to active myeloma. In order to investigate the biology of smoldering myeloma patients with high risk of progression, we analyzed the genomic characteristics by FISH, SNP-arrays and gene expression profile of a group of patients with high-risk smoldering myeloma included in a multicenter randomized trial. Chromosomal abnormalities detected by FISH and SNP-arrays at diagnosis were not associated to risk of progression to symptomatic myeloma. However, the overexpression of four SNORD genes (SNORD25, SNORD27, SNORD30 and SNORD31) was correlated with shorter time to progression (P<0.03). When plasma cells from high-risk smoldering patients who progressed to symptomatic myeloma were sequentially analyzed, newly acquired lesions together with an increase in the proportion of plasma cells carrying a given abnormality were observed. These findings suggest that gene expression profiling is a valuable technique to identify smoldering myeloma patients with high risk of progression. (Clinical Trials NCT00443235).

The use of molecular-based risk stratification and pharmacogenomics for outcome prediction and personalized therapeutic management of multiple myeloma

Despite improvement in therapeutic efficacy, multiple myeloma (MM) remains incurable with a median survival of approximately 10 years. Gene-expression profiling (GEP) can be used to elucidate the molecular basis for resistance to chemotherapy through global assessment of molecular alterations that exist at diagnosis, after therapeutic treatment and that evolve during tumor progression. Unique GEP signatures associated with recurrent chromosomal translocations and ploidy changes have defined molecular classes with differing clinical features and outcomes. When compared to other stratification systems the GEP70 test remained a significant predictor of outcome, reduced the number of patients classified with a poor prognosis, and identified patients at increased risk of relapse despite their standard clinico-pathologic and genetic findings. GEP studies of serial samples showed that risk increases over time, with relapsed disease showing GEP shifts toward a signature of poor outcomes. GEP signatures of myeloma cells after therapy were prognostic for event-free and overall survival and thus may be used to identify novel strategies for overcoming drug resistance. This brief review will focus on the use of GEP of MM to define high-risk myeloma, and elucidate underlying mechanisms that are beginning to change clinical decision-making and inform drug design.

Smoldering (asymptomatic) multiple myeloma: revisiting the clinical dilemma and looking into the future

Recent studies show that multiple myeloma (MM) is consistently preceded by an asymptomatic precursor state. Smoldering MM (SMM) is a MM precursor defined by an M-protein concentration >or= 3 g/dL and/or >or= 10% bone marrow plasma cells, in the absence of end-organ damage. Compared with individuals diagnosed with monoclonal gammopathy of undetermined significance (MGUS), patients with SMM have a much higher annual risk of developing MM. However, based on clinical observations, the natural history of SMM varies greatly, from stable MGUS-like disease to highly progressive disease. Using conventional clinical markers, SMM patients can be stratified into 3 risk groups. Importantly, because of considerable molecular heterogeneity, we currently lack reliable markers to predict prognosis for individual SMM patients. Furthermore, until recently, potent drugs with reasonable toxicity profiles have not been available for the development of early MM treatment strategies. Consequently, current clinical guidelines emphasize the application of close clinical monitoring followed by treatment when the patient develops symptomatic MM. This review focuses on novel biomarkers, molecular profiles, and microenvironmental interactions of interest in myelomagenesis. We also discuss how the integration of novel biologic markers and clinical monitoring of SMM could facilitate the development of early treatment strategies for high-risk SMM patients in the future.

Beta-2-microglobulin is an independent predictor of progression in asymptomatic multiple myeloma

BACKGROUND

Although serum beta-2 microglobulin (B2M) represents a key variable for symptomatic multiple myeloma (MM) prognostication, its role in predicting the risk of progression of asymptomatic MM to symptomatic disease has not been explored.

METHODS

This study was bases on a consecutive series of 148 patients with asymptomatic MM and explored the cumulative probability of progression to symptomatic MM as the primary endpoint.

RESULTS

In univariate analysis, a serum B2M level >2.5 mg/L was associated with an increased probability of disease progression (5-year risk, 64.5%; P < .001) along with serum monoclonal component (sMC) (P < .001), urinary monoclonal component (uMC) (P < .001), and bone marrow plasma cells (BMPCs) (P < .001). In multivariate analysis, serum B2M was selected as an independent predictor of progression (hazard ratio, 3.30; P = .002). Serum B2M was combined with sMC, uMC, and BMPC to create a risk-stratification model based on 4 groups with different risk of progression: very low (5-year risk, 0%), low-intermediate (5-year risk, 19.6%), high-intermediate (5-year risk, 60.7%), and high (5-year risk, 80.7%). The model that included serum B2M along with sMC, uMC, and BMPC was able to predict disease progression better than the model that was based on sMC, uMC, and BMPC without serum B2M (C statistics, 0.760 vs 0.726).

CONCLUSIONS

The current results indicated that 1) serum B2M is an independent predictor of asymptomatic MM progression, and 2) serum B2M adds prognostic information when combined with the most widely used prognosticators of asymptomatic MM progression.

The t(14;20) is a poor prognostic factor in myeloma but is associated with long-term stable disease in monoclonal gammopathies of undetermined significance

A large series of plasma cell dyscrasias (n=2207) was examined for translocations which deregulate the MAF genes, t(14;20)(q32;q12) and t(14;16)(q32;q23), and their disease behavior was compared to a group characterized by the t(4;14)(p16;q32) where CCND2 is also up-regulated. The t(14;20) showed low prevalence in myeloma (27/1830, 1.5%) and smoldering myeloma (1/148, <1%) with a higher incidence in MGUS (9/193, 5% P=0.005). Strong associations with del(13) (76%), non-hyperdiploidy (83%) and gain of 1q (58%) were seen but no association with an IgA M-protein or absence of bone disease was noted. All three translocations were associated with poor outcome in myeloma, but strikingly all t(14;20) MGUS/smoldering myeloma cases (n=10) had stable, low level disease. In contrast, the 10 t(14;16) and 25 t(4;14) MGUS/smoldering myeloma cases were associated with both evolving and non-evolving disease. None of the associated genetic abnormalities helped to predict for progression from MGUS or smoldering myeloma.

Smoldering (asymptomatic) multiple myeloma: current diagnostic criteria, new predictors of outcome, and follow-up recommendations

PURPOSE

To provide an overview on smoldering (asymptomatic) multiple myeloma (SMM) including current diagnostic criteria, predictors of progression, pattern of progression, and outcome.

DESIGN

A comprehensive review of the literature on risk factors for progression, treatment attempts to delay progression and outcome in patients with SMM.

RESULTS

The risk factors for progression of SMM include: plasma cell mass including M-protein size and percentage of bone marrow clonal plasma cells (BMPC), abnormal free light chain ratio, proportion of phenotypically abnormal BMPC, immunoparesis, evolution pattern (evolving v nonevolving), and pattern of magnetic resonance imaging abnormalities. Most patients with SMM progress with anemia and/or skeletal involvement. Immediate therapy with cytotoxic agents, such as melphalan/prednisone has not resulted in improved outcome. Patients should not be treated until progressive disease with end-organ damage occurs. Increasing anemia is the most reliable indicator of progression.

CONCLUSION

These recently recognized predictors of outcome may be helpful for better disease monitoring and for investigation of new treatment approaches. Thus, recommendations for follow-up every to 3 to 6 months depending on the risk of progression are suggested, and clinical trials with new noncytotoxic biologically derived agents to delay progression, particularly in high-risk patients, are ongoing.

The molecular characterization and clinical management of multiple myeloma in the post-genome era

Cancer-causing mutations disrupt coordinated, precise programs of gene expression that govern cell growth and differentiation. Microarray-based gene-expression profiling (GEP) is a powerful tool to globally analyze these changes to study cancer biology and clinical behavior. Despite overwhelming genomic chaos in multiple myeloma (MM), expression patterns within tumor samples are remarkably stable and reproducible. Unique expression patterns associated with recurrent chromosomal translocations and ploidy changes defined molecular classes with differing clinical features and outcomes. Combined molecular techniques also dissected two distinct, reproducible forms of hyperdiploid disease and have molecularly defined MM with high risk for poor clinical outcome. GEP is now used to risk-stratify patients with newly diagnosed MM. Groups with high-risk features are evident in all GEP-defined MM classes, and GEP studies of serial samples showed that risk increases over time, with relapsed disease showing dramatic GEP shifts toward a signature of poor outcomes. This suggests a common mechanism of disease evolution and potentially reflects preferential expansion of therapy-resistant cells. Correlating GEP-defined disease class and risk with outcomes of therapeutic regimens reveals class-specific benefits for individual agents, as well as mechanistic insights into drug sensitivity and resistance. Here, we review modern genomics contributions to understanding MM pathogenesis, prognosis, and therapy.

Loss of 1p and rearrangement of MYC are associated with progression of smouldering myeloma to myeloma: sequential analysis of a single case

We report serial genetic studies on a young female patient initially diagnosed with asymptomatic smouldering myeloma who progressed to symptomatic myeloma 4.5 years after presentation. An unbalanced translocation, der(14)t(4;14)(p16;q32), was initially found in all plasma cells plus deletions of other chromosomal regions as detected by array-based comparative genomic hybridization. Deletion of chromosome 13 was observed in a minor population of plasma cells (<20%) for the first two years, increasing to 100% of plasma cells by the time of multiple myeloma diagnosis. Loss of 1p and a rearrangement of MYC were first observed in a small population of plasma cells one year prior to the clinical diagnosis of multiple myeloma, but these subclones increased rapidly in size to become the major population suggesting that they were directly involved in the transformation process. This case report provides a unique insight into the mechanisms of disease progression from smouldering multiple myeloma to multiple myeloma.

Monoclonal gammopathy of undetermined significance: predictors of malignant transformation and recognition of an evolving type characterized by a progressive increase in M protein size

OBJECTIVE

To investigate the predictors of monoclonal gammopathy of undetermined significance (MGUS) by considering not only the initial features but also the pattern of evolution of the M protein during the first years after diagnosis.

PATIENTS AND METHODS

This study consisted of 359 patients diagnosed as having MGUS at a single institution. Patients who showed a definite and progressive increase in their M protein size according to serum electrophoresis during the first 3 years of follow-up were considered to have evolving MGUS, whereas all others were considered to have nonevolving MGUS.

RESULTS

Of the 359 patients, 330 had nonevolving MGUS, whereas 29 fulfilled the criteria for evolving MGUS. Overall, 32 patients developed malignant transformation. The progression rates at 10 and 20 years of follow-up for the evolving and the nonevolving types were 55% vs 10% and 80% vs 13%, respectively. Multivariate analysis revealed that the features significantly associated with a higher risk of progression were evolving MGUS (relative risk [RR], 12.14; P<.001), IgA MGUS (RR, 2.93; P=.006), and M protein concentration (RR, 2.18; P=.04).

CONCLUSION

The evolutionary pattern of serum M protein (progressive increasing vs stable) during the first years of follow-up is the most important risk factor for disease progression in patients with MGUS.

A validated gene expression model of high-risk multiple myeloma is defined by deregulated expression of genes mapping to chromosome 1

To molecularly define high-risk disease, we performed microarray analysis on tumor cells from 532 newly diagnosed patients with multiple myeloma (MM) treated on 2 separate protocols. Using log-rank tests of expression quartiles, 70 genes, 30% mapping to chromosome 1 (P < .001), were linked to early disease-related death. Importantly, most up-regulated genes mapped to chromosome 1q, and down-regulated genes mapped to chromosome 1p. The ratio of mean expression levels of up-regulated to down-regulated genes defined a high-risk score present in 13% of patients with shorter durations of complete remission, event-free survival, and overall survival (training set: hazard ratio [HR], 5.16; P < .001; test cohort: HR, 4.75; P < .001). The high-risk score also was an independent predictor of outcome endpoints in multivariate analysis (P < .001) that included the International Staging System and high-risk translocations. In a comparison of paired baseline and relapse samples, the high-risk score frequency rose to 76% at relapse and predicted short postrelapse survival (P < .05). Multivariate discriminant analysis revealed that a 17-gene subset could predict outcome as well as the 70-gene model. Our data suggest that altered transcriptional regulation of genes mapping to chromosome 1 may contribute to disease progression, and that expression profiling can be used to identify high-risk disease and guide therapeutic interventions.

Smoldering multiple myeloma and monoclonal gammopathy of undetermined significance

Smoldering multiple myeloma (SMM) consists of the presence of a serum M protein of 30 g/L or more and/or 10% or more bone marrow plasma cells (BMPCs), with no clinical manifestations or symptoms of myeloma. It accounts for approximately 10% of all myelomas, and the median time to progression to a symptomatic multiple myeloma ranges from 2 to 3 years. The main factors for progression are the plasma cell mass (M-protein size and percent of BMPCs), the spinal MRI pattern, the plasma cell proliferative index, and the variant of SMM ("evolving" vs "nonevolving"). Although treatment with thalidomide is promising (based on the results of two phase II trials), outside the context of a clinical trial, a watch-and-wait approach with clinical evaluation every 4 months is recommended until evident symptomatic disease progression occurs. Patients with monoclonal gammopathy of undetermined significance (MGUS) have a serum M protein lower than 30 g/L and a proportion of BMPCs of less than 10%, with no clinical findings or symptoms attributable to the monoclonal gammopathy. MGUS has a high prevalence, and its annual rate of malignant transformation is 1%, such that the actuarial probability of progression to a symptomatic monoclonal gammopathy at 25 years of follow-up is as high as 40%. The factors associated with a higher probability of malignant transformation are a relatively high plasma cell mass, immunoglobulin A M-protein type, and the "evolving" variant. It is recommended that patients with MGUS are monitored annually. Importantly, patients with asymptomatic monoclonal gammopathies must not be treated before the development of overt multiple myeloma.

Prognostic value of chromosome 1q21 gain by fluorescent in situ hybridization and increase CKS1B expression in myeloma

A specific role for increased level of expression of CKS1B, as a consequence of chromosome 1q21 copy number gain, has been postulated as both pathogenic, as well as a powerful clinical prognostic factor in multiple myeloma (MM). The purpose of this study is to determine the clinical associations and prognostic impact of copy number gain at chromosome 1q21 (with a bacteria artificial chromosome clone containing CKS1B) and CKS1B gene level of expression in MM. We studied the chromosome region 1q21 for copy number change in a cohort of myeloma patients treated by high-dose therapy with stem-cell rescue (HDT) (n = 159). A separate cohort of patients, treated by HDT was studied for CKS1B messenger RNA expression by gene expression profiling (n = 67). 1q21 gain was then correlated with clinical parameters and survival. Gain of 1q21 copy number was detected in about a third of MM and was associated with more proliferative disease and poor-risk cytogenetic categories such as t(4;14), and chromosome 13 deletion. Both 1q21 gain and increase gene expression level were significantly associated with reduced survival. However, neither is an independent prognostic marker in MM on multivariate Cox proportional hazard analysis.

Gene-expression signature of benign monoclonal gammopathy evident in multiple myeloma is linked to good prognosis

Monoclonal gammopathy of undetermined significance (MGUS) can progress to multiple myeloma (MM). Although these diseases share many of the same genetic features, it is still unclear whether global gene-expression profiling might identify prior genomic signatures that distinguish them. Through significance analysis of microarrays, 52 genes involved in important pathways related to cancer were differentially expressed in the plasma cells of healthy subjects (normal plasma-cell [NPC]; n=22) and patients with stringently defined MGUS/smoldering MM (n=24) and symptomatic MM (n=351) (P<.001). Unsupervised hierarchical clustering of 351 patients with MM, 44 with MGUS (24+20), and 16 with MM from MGUS created 2 major cluster branches, one containing 82% of the MGUS patients and the other containing 28% of the MM patients, termed MGUS-like MM (MGUS-L MM). Using the same clustering approach on an independent cohort of 214 patients with MM, 27% were found to be MGUS-L. This molecular signature, despite its association with a lower incidence of complete remission (P=.006), was associated with low-risk clinical and molecular features and superior survival (P<.01). The MGUS-L signature was also seen in plasma cells from 15 of 20 patients surviving more than 10 years after autotransplantation. These data provide insight into the molecular mechanisms of plasma-cell dyscrasias.

The molecular classification of multiple myeloma

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.

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

Using fluorescence in situ hybridization we investigated amplification of chromosome band 1q21 (Amp1q21) in more than 500 untreated patients with monoclonal gammopathy of undetermined significance (MGUS; n = 14), smoldering multiple myeloma (SMM; n = 31), and newly diagnosed MM (n = 479) as well as 45 with relapsed MM. The frequency of Amp1q21 was 0% in MGUS, 45% in SMM, 43% in newly diagnosed MM, and 72% in relapsed MM (newly diagnosed versus relapsed MM, P < .001). Amp1q21 was detected in 10 of 12 patients whose disease evolved to active MM compared with 4 of 19 who remained with SMM (P < .001). Patients with newly diagnosed MM with Amp1q21 had inferior 5-year event-free/overall survival compared with those lacking Amp1q21 (38%/52% versus 62%/78%, both P < .001). Thalidomide improved 5-year EFS in patients lacking Amp1q21 but not in those with Amp1q21 (P = .004). Multivariate analysis including other major predictors revealed that Amp1q21 was an independent poor prognostic factor. Relapsed patients who had Amp1q21 at relapse had inferior 5-year postrelapse survival compared with those lacking Amp1q21 at relapse (15% versus 53%, P = .027). The proportion of cells with Amp1q21 and the copy number of 1q21 tended to increase at relapse compared with diagnosis. Our data suggest that Amp1q21 is associated with both disease progression and poor prognosis.