scholarly journals Genetic Subtypes of Smoldering Multiple Myeloma are associated with Distinct Pathogenic Phenotypes and Clinical Outcomes

2021 ◽  
Author(s):  
Mark Bustoros ◽  
Shankara Anand ◽  
Romanos Sklavenitis-Pistofidis ◽  
Robert Redd ◽  
Eileen M. Boyle ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Genetic Alterations ◽  
Significant Heterogeneity ◽  
Binary Matrix ◽  
Clinical Biomarkers ◽  
Genetic Subtypes ◽  
Smoldering Multiple Myeloma ◽  
Increased Risk ◽  
Risk Of Progression ◽  
Risk Patients

AbstractSmoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with significant heterogeneity in disease progression. Existing clinical models of progression risk do not fully capture this heterogeneity. Here we integrated 42 genetic alterations from 214 SMM patients using unsupervised binary matrix factorization (BMF) clustering and identified six distinct genetic subtypes. These subtypes were differentially associated with established MM-related RNA signatures, oncogenic and immune transcriptional profiles, and evolving clinical biomarkers. Three subtypes were associated with increased risk of progression to active MM in both the primary and validation cohorts, indicating they can be used to better predict high and low-risk patients within the currently used clinical risk stratification model.

scholarly journals Genomic Profiling of Smoldering Multiple Myeloma Identifies Patients at a High Risk of Disease Progression

2020 ◽  
Vol 38 (21) ◽  
pp. 2380-2389 ◽  
Author(s):  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Jihye Park ◽  
Robert Redd ◽  
Benny Zhitomirsky ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Disease Progression ◽  
Genetic Alterations ◽  
Copy Number Variations ◽  
Mitogen Activated Protein Kinase ◽  
Prognostic Models ◽  
Single Nucleotide Variants ◽  
Smoldering Multiple Myeloma ◽  
Risk Of Progression

PURPOSE Smoldering multiple myeloma (SMM) is a precursor condition of multiple myeloma (MM) with a 10% annual risk of progression. Various prognostic models exist for risk stratification; however, those are based on solely clinical metrics. The discovery of genomic alterations that underlie disease progression to MM could improve current risk models. METHODS We used next-generation sequencing to study 214 patients with SMM. We performed whole-exome sequencing on 166 tumors, including 5 with serial samples, and deep targeted sequencing on 48 tumors. RESULTS We observed that most of the genetic alterations necessary for progression have already been acquired by the diagnosis of SMM. Particularly, we found that alterations of the mitogen-activated protein kinase pathway ( KRAS and NRAS single nucleotide variants [SNVs]), the DNA repair pathway (deletion 17p, TP53, and ATM SNVs), and MYC (translocations or copy number variations) were all independent risk factors of progression after accounting for clinical risk staging. We validated these findings in an external SMM cohort by showing that patients who have any of these three features have a higher risk of progressing to MM. Moreover, APOBEC associated mutations were enriched in patients who progressed and were associated with a shorter time to progression in our cohort. CONCLUSION SMM is a genetically mature entity whereby most driver genetic alterations have already occurred, which suggests the existence of a right-skewed model of genetic evolution from monoclonal gammopathy of undetermined significance to MM. We identified and externally validated genomic predictors of progression that could distinguish patients at high risk of progression to MM and, thus, improve on the precision of current clinical models.

PET-CT Has Major Diagnostic Value in the Evaluation of Smoldering Multiple Myeloma

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3382-3382 ◽  
Author(s):  
Brittany L. Dykstra ◽  
Shaji Kumar ◽  
Angela Dispenzieri ◽  
Martha Q. Lacy ◽  
Francis Buadi ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Ct Scan ◽  
Conflicts Of Interest ◽  
Significant Risk ◽  
Smoldering Multiple Myeloma ◽  
Increased Risk ◽  
Pet Ct ◽  
Rate Of Progression ◽  
Risk Of Progression ◽  
Pet Ct Scan

Abstract Background: The goal of this study was to determine the predictive value of (18) F-fluorodeoxyglucose positron emission tomography-computed tomography (PET-CT) in patients with suspected smoldering multiple myeloma (SMM), specifically to determine if a positive PET-CT was associated with a significant risk of progression to multiple myeloma (MM) within 2 years. Methods: We identified all patients with a diagnosis of SMM from January 2000 to March 2014 who had undergone a PET-CT scan as part of their clinical evaluation utilizing the Mayo Clinic Data Discovery and Query Database and a review of available medical records. The PET-CT findings, results of other diagnostic tests, and clinical course were then abstracted. A positive PET-CT was defined as radiologist interpretation of increased uptake in one or more focal areas. The primary endpoint was progression to active MM within the first 2 years following a positive PET-CT result among patients who were observed without therapy. Secondary endpoints included the proportion of patients in whom the diagnosis of active MM was made solely based on the findings of the PET-CT, the probability of progression within 2 years in patients with a negative PET-CT who were observed, and estimating differences in probability of progression based on presence or absence of underlying osteolysis in patients with a positive PET-CT. Results: 198 patients (100 male and 98 female) were identified with a suspected diagnosis of SMM in whom a PET-CT scan had been performed as part of the diagnostic evaluation. The median age was 69, range 35-92. The PET-CT was positive (defined as one or more focal lesions with increased uptake) in 82 patients, and negative in 116 patients. Of the 82 patients with a positive PET-CT, 49 were diagnosed and treated as MM, while 33 were considered to still have SMM and observed. Of the 49 patients diagnosed as MM, 12 (24%) were upstaged to the diagnosis of active disease solely based on the findings of the PET-CT; in the remaining 37 patients other MM defining events were also identified on other laboratory tests conducted during the same visit. Similarly, of the 116 patients with a negative PET-CT, 17 (15%) were diagnosed and treated as MM based on other laboratory parameters, while 99 were considered to have SMM and observed. Thus, 33 patients with a positive PET-CT and 99 patients with a negative PET-CT were observed without therapy; the rate of progression to MM within 2 years was then compared between these 2 groups. Nineteen of 33 patients (56%) with a positive PET-CT and observed as SMM progressed to active myeloma within 2 years; in contrast 27 of 99 patients (28%) with a negative PET-CT observed as SMM progressed within 2 years, P=0.0034. We then restricted the analysis to patients in whom the PET-CT was done within 90 days of diagnosis of SMM. The rate of progression within 2 years in this subset was 74% (14 of 19 patients) among those with a positive PET-CT versus 27% (12 of 44 patients) with a negative PET-CT, p=0.0015 (see Figure). Among these patients, the relative risk of progression with a positive PET-CT was 2.7 (95% CI 1.6-4.7). The median time to progression with positive PET-CT was 16 months versus 55 months with negative PET-CT, P=0.0001. Among the 19 patients with a positive PET-CT observed as SMM, the rate of progression was 77% (10 of 13 patients) among those with evidence of underlying osteolysis, and 66% (4 of 6 patients) among those without evidence of osteolysis. Conclusions: Patients with a positive PET-CT scan and underlying osteolysis when observed without therapy have a high risk (77%) of progression to MM within 2 years. This is probably an underestimate of the true risk since it excludes patients with presumably higher grade lesions on PET-CT were initiated on therapy based solely on the PET-CT finding (n=12 in this cohort). Our findings validate the recent IMWG recommendation that patients with a positive PET-CT and underlying osteolysis should be considered as active myeloma. Patients with a positive PET-CT and no underlying osteolysis are also at increased risk of progression, 66% within 2 years. Figure 1 Figure 1. Figure 2 Figure 2. Disclosures No relevant conflicts of interest to declare.

Modeling the risk of progression in smoldering multiple myeloma.

2014 ◽  
Vol 32 (15_suppl) ◽  
pp. 8607-8607 ◽  
Author(s):  
Adam J Waxman ◽  
Rosemarie Mick ◽  
Alfred L. Garfall ◽  
Adam D. Cohen ◽  
Dan T. Vogl ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Smoldering Multiple Myeloma ◽  
Risk Of Progression

Progression risk for MGUS and SMM

Blood ◽  
2007 ◽  
Vol 110 (7) ◽  
pp. 2226-2226 ◽  
Author(s):  
Philip Greipp
Keyword(s):  
Multiple Myeloma ◽  
Monoclonal Gammopathy ◽  
Smoldering Multiple Myeloma ◽  
Risk Of Progression ◽  
Progression Risk ◽  
Undetermined Significance

Patients with monoclonal gammopathy of undetermined significance (MGUS) are at continuous risk of progression. Each year, 1% progress, usually to active multiple myeloma (MM).1 Such patients must be monitored for life. Asymptomatic smoldering multiple myeloma (SMM) has an even greater risk of progression to MM. Recently reported strategies improve our ability to estimate the risk of MM in these patients.

scholarly journals Smoldering multiple myeloma

Blood ◽  
2015 ◽  
Vol 125 (20) ◽  
pp. 3069-3075 ◽  
Author(s):  
S. Vincent Rajkumar ◽  
Ola Landgren ◽  
María-Victoria Mateos
Keyword(s):  
Multiple Myeloma ◽  
Treatment Options ◽  
Early Therapy ◽  
Smoldering Multiple Myeloma ◽  
Disease Definition ◽  
Risk Of Progression ◽  
Cytogenetic Changes ◽  
Plasma Cell Disorder ◽  
New Treatment ◽  
Cell Disorder

AbstractSmoldering multiple myeloma (SMM) is an asymptomatic clonal plasma cell disorder. SMM is distinguished from monoclonal gammopathy of undetermined significance by a much higher risk of progression to multiple myeloma (MM). There have been major advances in the diagnosis, prognosis, and management of SMM in the last few years. These include a revised disease definition, identification of several new prognostic factors, a classification based on underlying cytogenetic changes, and new treatment options. Importantly, a subset of patients previously considered SMM is now reclassified as MM on the basis of biomarkers identifying patients with an ≥80% risk of progression within 2 years. SMM has assumed greater significance on the basis of recent trials showing that early therapy can be potentially beneficial to patients. As a result, there is a need to accurately diagnose and risk-stratify patients with SMM, including routine incorporation of modern imaging and laboratory techniques. In this review, we outline current concepts in diagnosis and risk stratification of SMM, and provide specific recommendations on the management of SMM.

scholarly journals Genomic Profiling of Smoldering Multiple Myeloma Classifies Molecular Groups with Distinct Pathogenic Phenotypes and Clinical Outcomes

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 723-723
Author(s):  
Shankara Anand ◽  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Robert A. Redd ◽  
Eileen M Boyle ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Molecular Classification ◽  
Intermediate Risk ◽  
Advisory Committees ◽  
Increased Risk ◽  
Risk Of Progression ◽  
Over Time

Abstract Introduction: Multiple Myeloma (MM) is an incurable plasma cell malignancy commonly preceded by the asymptomatic stage smoldering multiple myeloma (SMM). MM is characterized with significant genomic heterogeneity of chromosomal gains and losses (CNVs), translocations, and point mutations (SNVs); alterations that are also observed in SMM patients. However, current SMM risk models rely solely on clinical markers and do not accurately capture progression risk. While incorporating some genomic biomarkers improves prediction, using all MM genomic features to comprehensively stratify patients may increase risk stratification precision in SMM. Methods: We obtained a total of 214 patient samples at SMM diagnosis. We performed whole-exome sequencing on 166 tumors; of these, RNA sequencing was performed on 100. Targeted capture was done on 48 additional tumors. Upon binarization of DNA features, we performed consensus non-negative matrix factorization to identify distinct molecular clusters. We then trained a random forest classifier on translocations, SNVs, and CNVs. The predicted clinical outcomes for the molecular subtypes were further validated in an independent SMM cohort of 74 patients. Results: We identified six genomic subtypes, four with hyperdiploidy (>48 chromosomes, HMC, HKR, HNT, HNF) and two with IgH translocations (FMD, CND) (Table 1). In multivariate analysis accounting for IMWG (20-2-20) clinical risk stages, high-risk (HMC, FMD, HKR) and intermediate-risk (HNT, HNF) genetic subtypes were independent predictors of progression (Hazards ratio [HR]: 3.8 and 5.5, P = 0.016 and 0.001, respectively). The low-risk, CND subtype harboring translocation (11;14) was enriched for the previously defined CD-2 MM signature defined by the B cell markers CD20 and CD79A (FDR = 0.003 ), showed upregulation of CCND1, E2F1, and E2F7 (FDR = 0.01, 0.0004, 0.08), and was enriched for G2M checkpoint, heme metabolism, and monocyte cell signature (FDR = 0.003, 0.003, 0.003, respectively). The FMD subtype with IgH translocations (4;14) and (14;16) was enriched for P53, mTORC1, unfolded protein signaling pathways and plasmacytoid dendritic cell signatures (FDR = 0.01, 0.005, 0.008, respectively). The HKR tumors were enriched for inflammatory cytokine signaling, MYC target genes, T regulatory cell signature, and the MM proliferative (PR) signatures (FDR = 0.02, 0.03, 0.007, 0.02, respectively). The APOBEC mutational signature was enriched in HMC and FMD tumors (P = 0.005), while there was no statistical difference across subtypes in the AID signature. The median follow-up for the primary cohort is 7.1 years. Median TTP for patients in HMC, FMD, and HKR was 3.8, 2.6, and 2.2 years, respectively; TTP for HNT and HNF was 4.3 and 5.2, respectively, while it was 11 years in CND patients (P = 0.007). Moreover, by analyzing the changes in MM clinical biomarkers over time, we found that patients from high-risk subgroups had higher odds of developing evolving hemoglobin and monoclonal protein levels over time (P = 0.01 and 0.002, respectively); Moreover, the absolute increase in M-protein was significantly higher in patients from the high-risk genetic subtypes at one, two, and five years from diagnosis (P = 0.001, 0.03, and 0,01, respectively). Applying the classifier to the external cohort replicated our findings where intermediate and high-risk genetic subgroups conferred increased risk of progression to MM in multivariate analysis after accounting for IMWG staging (HR: 5.5 and 9.8, P = 0.04 and 0.005, respectively). Interestingly, within the intermediate-risk clinical group in the primary cohort, patients in the high-risk genetic subgroups had increased risk of progression (HR: 5.2, 95% CI 1.5 - 17.3, P = 0.007). In the validation cohort, these patients also had an increased risk of progression to MM (HR: 6.7, 95% CI 1.2 - 38.3, P = 0.03), indicating that molecular classification improves the clinical risk-stratification models. Conclusion: We identified and validated in an independent dataset six SMM molecular subgroups with distinct DNA alterations, transcriptional profiles, dysregulated pathways, and risks of progression to active MM. Our results underscore the importance of molecular classification in addition to clinical evaluation in better identifying high-risk SMM patients. Moreover, these subgroups may be used to identify tumor vulnerabilities and target them with precision medicine efforts. Figure 1 Figure 1. Disclosures Bustoros: Janssen, Bristol Myers Squibb: Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria. Casneuf: Janssen: Current Employment. Kastritis: Amgen: Consultancy, Honoraria, Research Funding; Takeda: Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; Genesis Pharma: Honoraria; Janssen: Consultancy, Honoraria, Research Funding. Walker: Bristol Myers Squibb: Research Funding; Sanofi: Speakers Bureau. Davies: Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; BMS: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Janssen: Consultancy, Honoraria. Dimopoulos: Amgen: Honoraria; BMS: Honoraria; Takeda: Honoraria; Beigene: Honoraria; Janssen: Honoraria. Bergsagel: Genetech: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: human CRBN mouse; GSK: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Yong: BMS: Research Funding; Autolus: Research Funding; Takeda: Honoraria; Janssen: Honoraria, Research Funding; Sanofi: Honoraria, Research Funding; GSK: Honoraria; Amgen: Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Getz: IBM, Pharmacyclics: Research Funding; Scorpion Therapeutics: Consultancy, Current holder of individual stocks in a privately-held company, Membership on an entity's Board of Directors or advisory committees. Ghobrial: AbbVie, Adaptive, Aptitude Health, BMS, Cellectar, Curio Science, Genetch, Janssen, Janssen Central American and Caribbean, Karyopharm, Medscape, Oncopeptides, Sanofi, Takeda, The Binding Site, GNS, GSK: Consultancy.

scholarly journals Short-Term Risk of Progression of Patients with Asymptomatic Monoclonal Gammopathies to Active Multiple Myeloma: The Critical Impact of the Tumoral Mass

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1795-1795
Author(s):  
Anna Benedetta Dalla Palma ◽  
Laura Notarfranchi ◽  
Jessica Crosara ◽  
Mario Pedrazzoni ◽  
Fabrizio Accardi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Multiple Myeloma ◽  
Risk Score ◽  
Statistical Significance ◽  
Prognostic Score ◽  
Univariate Analysis ◽  
M Protein ◽  
Short Term ◽  
Risk Of Progression ◽  
Risk Patients

The identification of risk factors for progression is critical in the clinical management and appropriate follow up of patients with pre-malignant Asymptomatic Monoclonal Gammopathies (AMG) including Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM). The development of prognostic score and consequently the early identification of patients with possible short-term progression to Multiple Myeloma (MM) could lead to anticipate the treatment. In this study, we retrospectively evaluated possible risk factors of short-term progression to active MM in a large cohort of MGUS and SMM patients admitted to a single haematological center (Hematology and BMT Unit, University Hospital of Parma) between 2010 and 2018. We analysed a total cohort of 235 patients diagnosed with AMG (81 MGUS and 154 SMM) according to the IMWG recently updated diagnostic criteria. All patients analysed underwent to Bone Marrow (BM) examination; moreover, imaging evaluation was performed in 22 MGUS and 123 SMM patients, in order to exclude the presence of bone disease. In a subgroup of AMG patients (n=50), bone mineral density (BMD) evaluation by Dual-energy X-ray Absorptiometry (DXA) was also available. Median age of the AMG patients analysed was 68 years (range 35-93 years). Median percentage of BM plasma cells (BMPCs) was 12% (range 2-55%) in the entire population, 7% (range 2-9) in MGUS and 15% (range 10-55) in SMM patients. Median serum M-protein was 1.7 g/dL (range: 0.17-4.5), 1.5 g/dL (range 0.17-4.5) in MGUS and 1.8 g/dL (range 0.4-2.7) in SMM patients. An abnormal free light chain (FLC) ratio was found in 70% of AMG patients, among the ones that performed the analysis; regarding SMM patients, FLC ratio value was available in 97 patients: in 72 (76%) the ratio was unbalanced, 37 (39%) had a FLC ratio ≤ 0.125 or ≥ 8 and in 14 (15%) it was > 20; among MGUS patients, value was collected in 41 patients and in 21 (51%) it was <0.26 or >1.65. The presence of immunoparesis in one or two uninvolved immunoglobulins occurred in 59% of the entire population. The median follow up time was 18 months (range 0 - 111 months) for whole population. Overall 44 patients of the entire cohort progressed to MM (41 SMM and 3 MGUS) with a median TTP of 14.5 months. By univariate analysis we found that percentage of BMPCs, entity of M-protein and presence of immunoparesis were significantly correlated with progression to active MM (p<0.001 for each variable). On the other hand, abnormal FLC ratio did not reach a statistical significance, as well as value of the involved FLC (p=0.059). Nevertheless, the presence of a FLC ratio < 0.125 or > 8 (as used in Mayo scoring system for SMM) showed a relationship at the limit of statistical significance in this subgroup of patients (p=0.052). Any significant correlation was not observed with age, sex, Ig isotype, light chain's type and the BMD values (p=NS). Afterwards, we applied Kaplan Meier method on risk factors resulted significant in univariate analysis demonstrating that they also significantly influenced the time to progression to MM. Finally, through a binomial logistic regression, we developed a new prognostic score for whole population. By combining the values of M-protein (< 2, score=0 or ≥ 2 g/dL, score=1) and the percentage of BMPC (<10%, score=0, 10-20%, score=1 and >20%, score=2), we obtained six groups at different probability of progression to active MM (Table 1). Given that result, we stratified patients in 3 groups: low-risk (score=0), intermediate-risk (score=1) and high-risk (score≥2); log-rank test confirmed that high-risk patients had a significantly shorter time to progression to symptomatic MM as compared to intermediate and low-risk patients (p<0.001). In conclusion, our results show that in patients with AMG the clinical factors, which mostly impact on the short-term risk of progression to active MM, are the entity of the PCs infiltrate and the MC related to the tumoral mass. The development of a clinical score based on BMPCs and M-protein will permit to overcome the traditional distinction between MGUS and SMM in the evaluation of the progression of AMG patients to active MM. Disclosures Giuliani: Janssen: Research Funding.

Ixazomib and dexamethasone in high risk smoldering multiple myeloma: A clinical and correlative pilot study.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 8051-8051
Author(s):  
Sham Mailankody ◽  
Meghan Salcedo ◽  
Elizabet Tavitian ◽  
Neha Korde ◽  
Nikoletta Lendvai ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
High Risk ◽  
Overall Response Rate ◽  
Response Rate ◽  
Objective Response ◽  
Pilot Trial ◽  
Progression Free Survival ◽  
Overall Response ◽  
Smoldering Multiple Myeloma ◽  
Increased Risk

8051 Background: Patients with high risk smoldering multiple myeloma (HR-SMM) have an increased risk of progression to multiple myeloma (MM)- median time < 2 years. The standard management of these patients currently is close clinical monitoring; however, randomized trials show longer progression-free and overall survival in in HR-SMM patients treated with the oral immunomodulatory drug lenalidomide. We report the use ixazomib, the first oral proteasome inhibitor, in combination with dexamethasone in the setting of HR-SMM. Because proteasome inhibitors can provide deep clinical responses in patients with MM, we set the pre-specified threshold for efficacy high (overall response rate of ≥75%). Methods: In this single arm pilot trial of ixazomib/dexamethasone, patients received 12 4-week cycles of ixazomib/dexamethasone followed by ixazomib maintenance for 24 cycles. The primary endpoint is best overall response after 12 cycles and second objectives include duration of response, safety, and progression free survival. Results: 14 patients with HR-SMM were enrolled between 06/2016 and 03/2018. The median age is 65 years and 10 (71%) of patients were male. 11 (79%) patients were high-risk by the PETHEMA criteria, 2 (14%) by the Mayo Clinic criteria and 1 (7%) by both. At data cut-off (02/07/2019), patients completed a median of 17 cycles and 10 (71%) are continuing treatment. 4 patients have stopped treatment (2 patients for raise in serum markers without progression to MM, and 1 each for toxicities, and co-morbidities unrelated to treatment). 9 (64%) achieved an objective response (8 PR, and 1 VGPR) and no patient has progressed to MM. Non-heme adverse events included 3 grade 1 GI events, 2 grade 3 lung infection, 1 grade 2 acute kidney injury, and 1 had grade 1 fatigue that was possibly related to treatment. Conclusions: Ixazomib/dexamethasone appears well tolerated with high overall response (9/14; 64%) in patients with HR-SMM. Although the trial does not meet our pre-specified threshold for efficacy (i.e. best overall response rate of 75%), with a median follow-up of 17 months, no patient progressed to MM and only 2 patients had serologic progression. These results support further evaluation of ixazomib/dexamethasone alone and in combination with other agents as treatment for patients with HR-SMM. Clinical trial information: NCT02697383.

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