scholarly journals Identifying a Gene Expression (GEP)-Based Model Predicting for Progression from AMM to Cmm Requiring Therapy in S0120 Patients Treated at Mirt

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2078-2078
Author(s):  
Rashid Z Khan ◽  
Christoph Heuck ◽  
Adam Rosenthal ◽  
Caleb K Stein ◽  
Joshua Epstein ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Dose Effect ◽  
M Protein ◽  
Proliferation Index ◽  
Q Value ◽  
Advisory Committees ◽  
Cut Point ◽  
Risk Of Progression

Abstract Background: The definition of high risk smoldering multiple myeloma (HR-SMM) is in flux. There are several models using serologic, bone marrow and radiologic data that predict for time to progression (TTP) to clinical myeloma (CMM). Lenalidomide and Dexamethasone in HR-SMM is reported to delay onset of end organ damage and improve overall survival, stressing the clinical utility of early intervention. We previously reported a GEP70 based score cutoff (<-0.26), when applied to the S0120 population, that improved the predictive power (R2) of standard clinical variables by 11%. The combination of GEP70 score >-0.26, serum M spike ≥3g/dL, and involved SFLC >25 mg/dL identified a subset of patients with 67% risk of progression at 2 years. With longer follow up, we now examine whether unique gene probe sets can be identified at the AMM stage that portend an earlier time to therapy (TTT). Patients and Methods: We identified 105 patients with AMM who had baseline GEP data on our S0120 protocol, after IRB approval for retrospective data review, and evaluated each of 54,675 Affymetrix gene probes for their potential to predict TTT. Probes were ranked by their q-values; we found 40 probes with q-value < 0.05 and 7 probes with q-value < 0.01; the top probe had a q-value of 0.00066. Scores based on the number of significant probes at these cut-points were computed by subtracting the sum of the expressions of the up-regulated probes from the sum of the expressions of the down-regulated probes, then dividing by the total number of probes. Results: In the GEP40 model, an optimal cut-point for risk of progression was identified at 7.05. The 3-year TTT probability was 83% with scores >=7.05 and only 11% for patients with values under this threshold (Figure 1A; p<0.0001). TTT probabilities also differed markedly when examined by score quartiles, attesting to a gene dose effect (Figure 1B). For the Q1 subset of 26 patients, only 4% required therapy in 3 years. Univariate Cox analysis for TTT yielded age>65 (HR: 2.3), Albumin<3.5g/dl (HR: 3.7), M-protein>3g/dl (HR: 4.99), BM plasmacytosis>=10% (HR: 12.2), GEP70>-0.26 (HR: 3.4), GEP40>=7.05 (HR: 16.41), GEP proliferation index > -0.26 (HR: 2.8), GEP PR subgroup (HR: 9.4) and GEP PolyPC >11.6 (HR: 0.22) to be significant. In the multivariate model, GEP40>=7.05 was the most significant (HR: 13.7), followed by SFLC>10mg/dl and M-protein>3g/dl. GEP40 score positively correlated with proliferation index (R: 0.804), and showed no correlation with GEP polyPC score (R: -0.156). Next, we used recursive partitioning on data from 72 patients and identified 23 patients with GEP40 score >=7.05 of whom 22 suffered TTT by 3 years (87%). Among the remaining 49 patients with GEP40 <7.0325, a further cut-point of age >59 years identified 24 patients, of whom 11 suffered progression with a 3 year TTT estimate of 25%. In the 25 patients with GEP40 <7.0325 and age <59 years, no patient progressed to CMM, with a 3 year TTT estimate of 0%. The GEP7 and GEP1 models, at optimal cut-offs, yielded equivalent positive and negative predictive values compared to the GEP40 model, albeit with less power. Conclusion:Gene expression profiling can readily identify a subset of AMM patients who are high risk for progression to CMM. Further refinement of GEP based risk scoring can be achieved by combining clinical and correlative variables to select the super HR-SMM for intervention trials. Figure 1a Figure 1a. Figure 1b Figure 1b. Disclosures Zangari: Norvartis: Membership on an entity's Board of Directors or advisory committees; Onyx: Research Funding; Millennium: Research Funding. Van Rhee:Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees. Dhodapkar:Celgene: Research Funding. Morgan:Celgene Corp: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Myeloma UK: Membership on an entity's Board of Directors or advisory committees; International Myeloma Foundation: Membership on an entity's Board of Directors or advisory committees; The Binding Site: Membership on an entity's Board of Directors or advisory committees; MMRF: Membership on an entity's Board of Directors or advisory committees.

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 (&gt;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 Identifying Ultra-High Risk Smoldering Multiple Myeloma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3192-3192 ◽  
Author(s):  
Theresia Akhlaghi ◽  
Even H Rustad ◽  
Venkata D Yellapantula ◽  
Neha Korde ◽  
Sham Mailankody ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Advisory Committees ◽  
Ultra High Risk ◽  
Risk Of Progression ◽  
Equity Ownership ◽  
M Spike ◽  
Risk Biomarkers

Abstract Introduction Smoldering multiple myeloma (SMM) is an asymptomatic precursor stage to active multiple myeloma (MM), comprised by a heterogenous group of patients with varying rates of progression. While the overall yearly progression rate is 10% the first 5 years, some patients progress at a considerably higher rate. A study from the Mayo Clinic showed that in a subset of 21 patients defined by ≥60% monoclonal bone marrow plasma cells (BMPC), 95% progressed within 2 years. It was subsequently concluded by the International Myeloma Working Group (IMWG) that patients with biomarkers predictive of a 2-year progression rate at 80%, and a median time to progression at 12 months were at ultra-high risk of progression and should be considered to have MM requiring treatment despite being asymptomatic. In 2014, ultra-high risk biomarkers were incorporated in the definition of MM, including BMPC ≥60%, free light chain (FLC) ratio ≥100 and ≥2 focal lesions on magnetic resonance imaging (MRI). While the updated myeloma definition changed the diagnosis of some patients with ultra-high risk SMM to MM, there remain patients classified as SMM progressing at a very high rate. In the present study, we aimed at further identifying ultra-high risk biomarkers predictive of a high rate of progression to active MM. Methods Patients with SMM presenting to Memorial Sloan Kettering Cancer Center between the years 2000 and 2017 were identified and included in the study. Diagnosis of SMM and progression to MM requiring therapy was defined according to the IMWG criteria at the time of diagnosis. Baseline patient and disease characteristics were collected at date of diagnosis with SMM, including pathology reports, laboratory results and imaging data. Time to progression (TTP) was assessed using the Kaplan-Meier method with log-rank test for comparisons. Optimal cut-off values for continuous variables were assessed with receiver operating characteristics (ROC) curve. Patients who had not progressed by the end of study or were lost to follow up were censored at the date of last visit. Univariate Cox regression was used to estimate risk factors for TTP with hazard ratios (HR) and 95% confidence intervals (CI). Significant univariate risk factors were selected for multivariate Cox regression. Results A total of 444 patients were included in the study. Median follow-up time was 78 months. During the study period, 215 (48%) patients progressed to active MM, with a median TTP of 72 months. Cut-off points for BMPC, M-spike, and FLC ratio were determined with ROC curves to be 20%, 2 g/dL, and 18, respectively, for predicting high risk of progression. The following factors were associated with significantly increased risk of progression to active MM: BMPC >20%, M-spike >2g/dL, FLC ratio >18, immunoparesis with depression of 1 and 2 uninvolved immunoglobulins respectively, elevated lactate dehydrogenase, elevated beta-2-microglobulin, and low albumin (Table 1). In the multivariate model, BMPC >20% (HR 2.5, 95% CI 1.6-3.9), M-spike >2g/dL (HR 3.2, CI 1.9-5.5), FLC ratio >18 (HR 1.8, CI 1.1-3.0), albumin <3.5 g/dL (HR 3.9, CI 1.5-10.0), and immunoparesis with 2 uninvolved immunoglobulins (HR 2.3, CI 1.2-4.3), predicted a decreased TTP (Table 1). A total of 12 patients had 4 or 5 of the risk factors from the multivariate model, 8 of these did not meet the 2014 IMWG criteria for MM. These patients had a significantly shorter TTP than patients with less than 4 risk factors (median TTP 11 vs 74 months, p<0.0001, Figure 1). At 16 months, 82% of these patients had progressed, and within 2 years, 91% of the patients progressed. Only one patient remained progression free after 2 years, progressing at 31 months. Of patients with less than 4 risk factors, 19% progressed within the first 2 years. Conclusion In addition to baseline BMPC >20%, M-spike >2g/dL, FLC-ratio >18, we found that albumin <3.5g/dL and immunoparesis of both uninvolved immunoglobulins at the time of diagnosis with SMM were highly predictive of a decreased TTP to MM requiring therapy. These biomarkers are readily available and routinely assessed in clinic. Patients with 4 or 5 of these risk factors represent a new ultra-high risk group that progress to active disease within 2 years, further expanding on the definition of ultra-high risk SMM. In accordance with the rationale on ultra-high risk biomarkers as criteria established by the IMWG in 2014, such patients should be considered to have MM requiring therapy. Disclosures Korde: Amgen: Research Funding. Mailankody:Janssen: Research Funding; Takeda: Research Funding; Juno: Research Funding; Physician Education Resource: Honoraria. Lesokhin:Squibb: Consultancy, Honoraria; Serametrix, inc.: Patents & Royalties: Royalties; Takeda: Consultancy, Honoraria; Genentech: Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Janssen: Research Funding. Hassoun:Oncopeptides AB: Research Funding. Smith:Celgene: Consultancy, Patents & Royalties: CAR T cell therapies for MM, Research Funding. Shah:Amgen: Research Funding; Janssen: Research Funding. Mezzi:Amgen: Employment, Equity Ownership. Khurana:Amgen: Employment, Equity Ownership. Braunlin:Amgen: Employment. Werther:Amgen: Employment, Equity Ownership. Landgren:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Research Funding; Pfizer: Consultancy; Celgene: Consultancy, Research Funding.

scholarly journals Progression Risk-Based Classification of Asymptomatic Waldenström Macroglobulinemia

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 150-150
Author(s):  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Chia-jen Liu ◽  
Efstathios Kastritis ◽  
Geoffrey Fell ◽  
...  
Keyword(s):  
Bone Marrow ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Proportional Hazards ◽  
Risk Group ◽  
Advisory Committees ◽  
Waldenström Macroglobulinemia ◽  
Waldenstrom Macroglobulinemia ◽  
Risk Of Progression

Abstract Background. Waldenström macroglobulinemia (WM) is a low-grade non-Hodgkin's lymphoplasmacytic lymphoma associated with overproduction of monoclonal IgM protein. It is preceded by an asymptomatic stage, called Smoldering Waldenström Macroglobulinemia (SWM), associated with a high risk of progression to overt disease. Current understanding of progression risk in SWM is based on a few small studies, and it is still unclear how to distinguish the asymptomatic patients who will progress from those who will not. Patients and Methods. We obtained clinical data of all WM patients who had been diagnosed and followed up at Dana-Farber Cancer Institute from 1982 to the end of 2014. Only patients with asymptomatic disease at the time of diagnosis were included in this study to identify risk factors for disease progression. Patients who received chemotherapy for a second cancer, before or after asymptomatic WM diagnosis (n =24), were excluded as chemotherapy might have affected the natural course of disease. Patients who progressed to or were diagnosed later with other types of B-cell lymphoproliferative disorders or Amyloidosis (n =71) and patients with myeloproliferative disorders or thalassemia (n = 4) were all excluded from our cohort. Furthermore, we excluded patients with no morphologic evidence of lymphoplasmacytic infiltration in the bone marrow biopsy (n =37), those without a bone marrow biopsy done at time of diagnosis (n =21), and those who were treated for peripheral neuropathy alone (n =13). Progression was defined based on the Consensus Panel recommendations of the Second International Workshop on WM. Survival analysis was performed using the Kaplan-Meier method and differences between the curves were tested by log-rank test. Effects of potential risk factors on progression rates was examined using Cox proportional-hazards models, with hazard ratios (HRs) and associated 95% confidence intervals (CIs). Results. A total of 439 patients were included in the study. During the 35-year study period and a median follow up of 7.8 years, 317 patients (72.2%) progressed to symptomatic WM. The median time to progression was 3.9 (95% CI 3.2-4.6) years. In the multivariate analysis, IgM ≥ 4,500 mg/dL (adjusted HR 4.65; 95% CI 2.52-8.58; p < 0.001), BM lymphoplasmacytic infiltration ≥ 70% (adjusted HR 2.56; 95% CI 1.69-3.87; p < 0.001), β2-microglobulin ≥ 4.0 mg/dL (adjusted HR 2.31; 95% CI 1.19-4.49; p = 0.014), and albumin < 3.5 g/dL (adjusted HR 2.78; 95% CI 1.52-5.09; p = 0.001) were all identified as independent predictors of disease progression, suggesting those thresholds could be clinically useful for determining high-risk patients. On the other hand, given the continuous nature of these variables, we built a proportional hazards model based on four variables (Bone marrow infiltration percentage, serum IgM, albumin, β2-microglobulin). The model divided the cohort into 3 distinct risk groups: a high-risk group with a median time to progression (TTP) of 1.9 years (95% CI 1.64-2.13), an intermediate-risk group with median TTP of 4.6 years (95% CI 4.31-5.15), and a low-risk group with a median TTP of 8.1 years (95% CI 7.33-8.13)(See Figure). To enhance its clinical applicability, we made the model available as user interface through a webpage and mobile application, where clinicians can enter an individual SWM patient's lab values and get information regarding their risk group and estimated individual risk of progression to symptomatic WM. Conclusion. We have assembled the largest cohort of SWM patients to date, which allowed us to identify four independent predictors of progression to overt disease: BM infiltration ≥ 70%, IgM ≥ 4,500 mg/dL, b2m ≥ 4.0 mg/dL and albumin < 3.5 g/dL. Using those variables in a proportional hazards model, we developed a robust, flexible classification system based on risk of progression to symptomatic WM. This system stratifies SWM patients into low-, intermediate- and high-risk groups and thus has the potential to inform patient monitoring and care. Most importantly, it can help identify high-risk patients who might benefit from early intervention in this rare malignancy. Figure 1. Figure 1. Disclosures Bustoros: Dava Oncology: Honoraria. Kastritis:Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Prothena: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Soiffer:Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Treon:Johnson & Johnson: Consultancy; Janssen: Consultancy, Other: Travel, Accommodations, Expenses; BMS: Research Funding; Pharmacyclics: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding. Castillo:Genentech: Consultancy; Millennium: Research Funding; Abbvie: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Beigene: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding. Dimopoulos:Amgen: Honoraria; Janssen: Honoraria; Takeda: Honoraria; Celgene: Honoraria; Bristol-Myers Squibb: Honoraria. Ghobrial:BMS: Consultancy; Janssen: Consultancy; Takeda: Consultancy; Celgene: Consultancy.

scholarly journals A Randomized Placebo-Controlled Phase 2 Study of Metformin for the Prevention of Progression of Monoclonal Gammopathy of Undetermined Significance and Low Risk Smoldering Multiple Myeloma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1659-1659
Author(s):  
Catherine R. Marinac ◽  
Robert A. Redd ◽  
Julia Prescott ◽  
Alexandra Savell ◽  
Courtney Igne ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Monoclonal Gammopathy ◽  
Research Funding ◽  
Controlled Trial ◽  
Low Risk ◽  
M Protein ◽  
Advisory Committees ◽  
Randomized Controlled ◽  
Bone Marrow Plasma

Abstract Background: Multiple Myeloma (MM) is thought to evolve from the precursor conditions monoclonal gammopathy of undetermined significance (MGUS) and smoldering MM (SMM), which are common premalignant disorders that progress to overt MM in a subset of individuals for reasons that are poorly understood. Despite increasing interest in preventing disease progression in this patient population, the standard of care still consists of close surveillance until progression to MM; however, once MM develops it cannot be cured. Therefore, the identification of prevention and interception strategies for patients with MGUS and SMM is of considerable importance. A promising pharmacologic intervention to reduce the risk of progression of MGUS/SMM to MM is metformin, a drug commonly used to treat type 2 diabetes but that is also considered safe for use in non-diabetic populations. In vivo and in vitro studies have revealed that metformin has direct antitumor effects across a variety of cancers including MM, and recent epidemiological data suggests it may reduce the risk of MM in diabetic patients with MGUS. Here, we describe the first randomized controlled trial testing the efficacy of metformin in reducing clinical signs of disease progression in patients with MGUS and SMM (NCT04850846). Study Design and Methods: This is a phase II single center, randomized controlled trial of metformin vs. placebo in patients with high-risk MGUS and low-risk SMM. The primary objective of the study is to determine whether metformin can reduce or stabilize serum monoclonal (M-)protein concentrations from baseline to 6-months. Exploratory objectives include mass spectrometry quantification of M-protein, examination of molecular evolution of tumor cells in response to metformin, as well as changes in other clinical laboratory parameters in response to metformin. To be eligible, patients must have high-risk MGUS or low-risk SMM. High-risk MGUS is defined as bone marrow plasma cell concentration &lt;10% with one or more of the following higher-risk features: serum M-protein level ≥1.5 g/dL to &lt;3 g/dL or abnormal free light-chain (FLC) ratio (&lt;0.26 or&gt;1.65); a forthcoming amendment will include non-IgG subtype as an additional high-risk feature. Low-risk SMM is defined as bone marrow plasma cells ≥10%with the absence of any features of high-risk SMM. Metformin and its corresponding placebo are the pharmacological treatments. The metformin dose is 1500 milligrams/day, provided in 500 milligram pills. To minimize gastrointestinal symptoms, metformin is started at a low dose of 500 milligram (1 pill) per day and participants gradually increase the dosage over the course of the first month of treatment until the full 1500 milligram (3 pill) per day regimen is achieved. The study treatment period is 6 months, with primary outcomes assessed at the end of the 6-month treatment period. Conclusions and Future Directions: While the cornerstone of clinical management in MGUS and SMM is to delay therapy until progression to symptomatic MM, patients and oncologists continually seek new ways to prevent end organ damage and incurable malignancy. This trial is positioned to provide preliminary but robust mechanistic data to support the development of novel prevention strategies for MGUS and SMM patients. Disclosures Marinac: GRAIL Inc: Research Funding; JBF Legal: Consultancy. Sperling: Adaptive: Consultancy. Parnes: Sigilon: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; UniQure: Membership on an entity's Board of Directors or advisory committees; Sunovion: Consultancy; I-mAb: Consultancy; Aspa: Consultancy; Genentech/Hoffman LaRoche: Research Funding; Shire/Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding. Richardson: Protocol Intelligence: Consultancy; Regeneron: Consultancy; Sanofi: Consultancy; Secura Bio: Consultancy; AbbVie: Consultancy; Janssen: Consultancy; GlaxoSmithKline: Consultancy; AstraZeneca: Consultancy; Karyopharm: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Celgene/BMS: Consultancy, Research Funding; Oncopeptides: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding. 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. Nadeem: Karyopharm: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. OffLabel Disclosure: metformin, which is an anti-diabetic medication

Hevylite®, a New Marker of Tumor Measurement In Waldenstrom Macroglobulinemia

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 5076-5076 ◽  
Author(s):  
Salomon Manier ◽  
Remy Dulery ◽  
Alain Duhamel ◽  
Eileen Boyle ◽  
Julien Rossignol ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Progressive Disease ◽  
Tumor Burden ◽  
M Protein ◽  
Advisory Committees ◽  
Waldenström Macroglobulinemia ◽  
Waldenstrom Macroglobulinemia ◽  
M Spike

Abstract Abstract 5076 Background. Waldenstrom macroglobulinemia (WM) is a low grade B cell lymphoma characterized by bone marrow infiltration of lymphoplasmacytic tumor cells that secrete monoclonal IgM (M-protein) into the serum. Measurement of the serum M-protein [using serum protein electrophoresis (SPEP)] and measurement of total IgM (using nephelometry) are used to diagnose and monitor WM. There are, however, many limitations with these techniques and new markers are needed. IgG and IgA Hevylite® immunoassays have been reported to be more sensitive than SPEP and nephelometry for identifying monoclonal immunoglobulins in multiple myeloma and unlike immunofixation, provide quantitative information. We hypothesized that serum IgM Hevylite assays (specifically measuring IgMkappa and IgMlambda, separately) would accurately identify serum IgM M-proteins. We also evaluated the association between known tumor burden markers and prognostic factors with IgM Hevylite results in patients with WM. Method. We retrospectively measured IgMkappa and IgMlambda in sera from 59 WM patients: 44 patients were at diagnosis and 15 had relapsed disease. The diagnosis of WM was made according to the current guidelines. All serum samples were kept frozen in the Lille serum bank since collection. All patients gave informed consent prior to the collection and none were treated at time of collection of the serum. Approval of this protocol was obtained from the CHRU Lille and was in accordance with the Declaration of Helsinki. Hevylite measurements were made at The Binding Site Ltd, Birmingham, UK. A normal range was produced from normal (blood donor) sera (n=120), median (and 95%ile ranges) were; IgMkappa 0.634g/L (0.29-1.82), IgMlambda 0.42g/L (0.17-0.94), IgMkappa/IgMlambda ratio 1.6 (0.95-2.3). For ease of comparison IgM hevylite ratios were expressed as the involved monoclonal immunoglobulin/uninvolved polyclonal immunoglobulin (IgMi). To describe the distribution of IgMi Hevylite levels in patients with WM, the median and range (min-max) were reported. Median values were compared using the Wilcoxon rank-sum test and ANOVA. Fisher's exact test was used to compare proportions. All statistical tests were two-sided. All analyses were conducted using SPSSv12 software. Results. The baseline characteristics of the patients were as follows: the median (range) age was 68 years (41-86), male/female 38/21, serum b2M 3.0mg/L (1.2-9.0), hemoglobin 11.8g/dL (7.6-15.4), platelet count 267 ×109/mm3 (55-741), serum M-spike 19g/L (3.0-52.7). In our series, 18 (31%), 22 (37%) and 19 (32%) patients had low, intermediate and high risk disease respectively, in the WM-IPSS scoring system. The median (min-max) IgMkappa ratio was 134 (8.7-2850) and IgMlambda ratio was 0.03 (0.0007-0.39). IgMi Hevylite ratio was 98.07 (2.59-2850). The IgMi Hevylite correlated well with the M-spike measured using SPEP (r=0.601, p<0.0001). In our study, high IgMi Hevylite levels correlated well with markers of high tumor burden and of poor prognosis. The median (range) IgMi Hevylite level was higher in patients with hemoglobin <10g/dL versus ≥10 g/dL, 267 (8.1-1722) and 76 (2.6-2850) respectively (p=0.013). The median (range) IgMi Hevylite ratio level was significantly (p=0.033) higher in the high risk IPSS group 208 (2.6-2850) than in the intermediate 75 (15-1033) and low risk groups, 98 (8-571). The IgMi Hevylite levels also separated WM patients with progressive disease who required therapy. Twenty seven pts were symptomatic and required specific treatment for WM, and 32 pts were left untreated. The median IgMi Hevylite ratio was significantly higher in progressing patients, 210 (8.1-2850) and 60 (2.6-571) in the 2 groups, respectively (p=0.014). Conclusion. In this study we demonstrated that IgM Hevylite measurement is a new and reliable marker for monitoring WM disease. It is related to poor prognostic markers that separate WM patients with progressive disease who require therapy. We are currently expanding the cohort to confirm these observations. These findings have implications in the management of patients with WM. Disclosures: Leblond: Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Mundipharma: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genzyme: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees. Leleu:Celgene: Consultancy, Research Funding; Janssen Cilag: Consultancy, Research Funding; Leo Pharma: Consultancy; Amgen: Consultancy; Chugai: Research Funding; Roche: Consultancy, Research Funding; Novartis: Consultancy, Research Funding.

scholarly journals Curative Strategy (GEM-CESAR) for High-Risk Smoldering Myeloma (SMM): Carfilzomib, Lenalidomide and Dexamethasone (KRd) As Induction Followed By HDT-ASCT, Consolidation with Krd and Maintenance with Rd

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 781-781 ◽  
Author(s):  
Maria-Victoria Mateos ◽  
Joaquin Martinez-Lopez ◽  
Paula Rodriguez Otero ◽  
Veronica Gonzalez-Calle ◽  
Marta Sonia Gonzalez ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Skin Rash ◽  
Research Funding ◽  
Maintenance Treatment ◽  
Second Primary ◽  
Advisory Committees ◽  
End Point ◽  
Patient Reported ◽  
Risk Of Progression

Introduction: SMM is an asymptomatic and heterogeneous plasma cell disorder. Both Spanish Myeloma and ECOG Groups have demonstrated that pts at high risk of progression to active MM benefit from early treatment with R-based regimens. Our next step was to design this phase 2, single arm trial, focusing on the same population, but with the potential goal of cure, defined by sustained minimal residual disease negativity (MRD-ve) at 5 years after HDT-ASCT. Patients and methods: Ninety SMM pts at high-risk of progression (&gt;50% at 2 yrs), younger than 70 years and transplant candidates were included. The high risk was defined by the presence of both ≥PC 10% and MC ≥3g/dL (Mayo) or ifonly one criterion was present, pts must &gt;95%of aberrant PCs within the total PCsBM compartment by immunophenotyping plus immunoparesis (Spanish). Induction therapy consisted on six 4-weeks cycles of KRd in which K was given at dose of 36 mg/m2 twice per week plus R at dose of 25 mg on days 1-21 and dexamethasone at dose of 40 mg weekly. Melphalan at dose of 200 mg/m2 followed by ASCT was given as intensification therapy followed by two KRd consolidation cycles and maintenance with R at dose of 10 mg plus dexamethasone at dose of 20 mg weekly for up to 2 yrs. The primary end-point was to evaluate the MRD-ve rate by next generation flow (NGF) after induction and ASCT and our aim was to increase the MRD -ve rate from 34% (reported in NDMM pts after VTD and ASCT) to at least 50%. Results: Between June 2015 and June 2017, 90 high-risk SMM pts were recruited. Twenty-eight pts (32%) shared at least one of the new biomarkers predicting imminent risk of progression to MM. On February 4th, 2019, 71 pts were already receiving maintenance treatment; 7 pts had finalized the treatment and there were 11 early discontinuations (4 biochemical relapses during maintenance, 2 Informed Consent refusal, 3 adverse events and two deaths). After a median follow-up of 32 months (8-128), 93% of pts remain alive and free of progression and 98% of them alive. In the intent-to-treat pts' population, after induction, the ≥CR rate was 41% and increased to 59% after HDT-ASCT and to 70% after consolidation. In the same analysis, MRD-ve rate was observed in 30% of pts after induction, 52% after HDT-ASCT and 57% after consolidation. If we focus on the 83 pts who completed induction, HDT-ASCT and consolidation, the ≥CR/undetectable MRD rates were 42%/31%, 64%/56% and 76%/63% after each step, respectively. Concerning toxicity, during induction, G3-4 neutropenia and thrombocytopenia were reported in 5 (6%) and 10 pts (11%), respectively. G3-4 infections were reported in 16 pts (18%), followed by skin rash in 8 pts (9%). One patient reported G1 atrial fibrillation and another cardiac failure secondary to respiratory infection. Three pts reported hypertension (G2 in two and G3 in one). In all but two of the pts, PBSC collection was successful with a median of 4.10 x 106/Kg CD34 cells collected. All pts engrafted but one patient developed late graft failure. During consolidation, 2 pts developed G3-4 neutropenia, 3 pts G3-4 infections and 1 pt skin rash. Maintenance treatment is ongoing and one patient had to discontinue due to a second primary malignancy (lung cancer) and other due to sustained thrombocytopenia. Conclusions: The primary end point of the trial was met, and 56% of the pts who completed induction and HDT-ASCT achieved MRD-ve. This "curative strategy for high risk SMM" continues being encouraging and 93% of pts remain alive and progression-free at 30 months and 98% of pts alive. Disclosures Mateos: GSK: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmamar: Membership on an entity's Board of Directors or advisory committees; EDO: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Rodriguez Otero:Celgene Corporation: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria; Takeda: Consultancy; BMS: Honoraria; Kite Pharma: Consultancy. Oriol:Amgen: Consultancy, Speakers Bureau; Janssen: Consultancy; Takeda: Consultancy, Speakers Bureau; Celgene Corporation: Consultancy, Speakers Bureau. Paiva:Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, Novartis, Roche, and Sanofi; unrestricted grants from Celgene, EngMab, Sanofi, and Takeda; and consultancy for Celgene, Janssen, and Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau. Rosinol Dachs:Janssen, Celgene, Amgen and Takeda: Honoraria. Amor:Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Puig:Janssen: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria; The Binding Site: Honoraria. De La Rubia:AMGEN: Consultancy; Celgene Corporation: Consultancy; Takeda: Consultancy; Janssen: Consultancy; AbbVie: Consultancy. De Arriba:Takeda: Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Lopez Jimenez:GILEAD SCIENCES: Honoraria, Other: Education funding. Ocio:Celgene: Consultancy, Honoraria, Research Funding; BMS: Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Mundipharma: Research Funding; AbbVie: Consultancy; Sanofi: Research Funding; Seattle Genetics: Consultancy; Array Pharmaceuticals: Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria; Pharmamar: Consultancy. Bladé:Jansen, Celgene, Takeda, Amgen and Oncopeptides: Honoraria. San-Miguel:Amgen, Bristol-Myers Squibb, Celgene, Janssen, MSD, Novartis, Roche, Sanofi, and Takeda: Consultancy, Honoraria.

Upfront 28-Day Metronomic Therapy for High-Risk Multiple Myeloma (HRMM)

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1843-1843 ◽  
Author(s):  
Sharmilan Thanendrarajan ◽  
Daisy V. Alapat ◽  
Maurizio Zangari ◽  
Carolina Schinke ◽  
Christoph Heuck ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Advisory Board ◽  
Proliferation Index ◽  
University Of Arkansas ◽  
Medical Sciences ◽  
Advisory Committees ◽  
Cytogenetic Abnormalities ◽  
Metronomic Therapy

Abstract Introduction: Despite major advances in MM therapy with the inclusion of novel agent combinations for induction prior to and after autotransplant-supported high-dose melphalan, the 15% of patients with GEP-defined HRMM continue to fare poorly with PFS and OS not exceeding 2 and 3 years, respectively. This poor outcome has not been improved with less dose-intense and more dose-dense Total Therapy 5. Having previously reported on 16-day metronomic therapy with low-dose doxorubicin (DOX) and cisplatin (DDP) plus VTD (Papanikolaou, Haematologica), we explored further extension of such metronomic treatment to 28 days (metro-28) also in newly diagnosed HRMM patients. Patients and Methods: All patients signed a written informed consent and data analysis was approved by our IRB. In the outpatient setting, a single cycle of metro-28 comprised DOX and DDP each at 1.0mg/m2/d for 28d by continuous infusion (CI), along with VTD (bortezomib 1.0mg/m2 on days 1-4, 7-10, 13-16, 19-22, 25-28; DEX 12mg on days 1-4, 7-10, 13-16, 19-22, 25-28; thalidomide 50-100mg/d x 28d; some patients also received vincristine [VCR] at a flat daily dose of 0.07mg/d x 28d by CI. Results: Fourteen patients were initiated on metro-28. Their characteristics included age >=65y in 12; albumin <3.5g/dL in 8; B2M >5.5mg/L in 7; cytogenetic abnormalities [CA] were present in 10; GEP70 HRMM in 9/13; PR subgroup in 8/13 (Table 1). The median follow up is 11mo. As portrayed in Figure 1A, no patient has died; the 6mo PFS estimate was 85% (Figure 1B); responses included CR in 3/14, VGPR in 7/14 and PR in 10/14 (Figure 1C); and the PR duration estimate at 6mo is 80% (Figure 1D). Of interest, GEP70 scores morphed to low risk in 3/13. Vascular density (CD34) decreased markedly in most patients evaluated. Toxicities were minor; myelosuppression was virtually absent; alopecia was not encountered. Subsequent salvage therapies included repeat metro-28, combination chemotherapy (PACMED) and autotransplants. Conclusion: We conclude that metro-28 is a promising and safe strategy for elderly patients with HRMM, and we hypothesize an anti-angiogenic mechanism of action in addition to direct anti-MM effects. Table 1. Patient characteristics Factor n/N (%) Age >= 65 yr 12/14 (86%) Albumin < 3.5 g/dL 8/14 (57%) B2M >= 3.5 mg/L 9/12 (75%) B2M > 5.5 mg/L 7/12 (58%) Hb < 10 g/dL 10/14 (71%) Cytogenetic Abnormalities 10/14 (71%) CA within 1 Year of Therapy 10/14 (71%) CA within 90 Days of Therapy 9/14 (64%) GEP 70-Gene High Risk 9/13 (69%) GEP PR Subgroup 8/13 (62%) GEP Proliferation Index >= 10 7/13 (54%) GEP Centrosome Index >= 3 7/13 (54%) n/N (%): n- Number with factor, N- Number with valid data for factor Figure 1. Figure 1. Disclosures Thanendrarajan: University of Arkansas for Medical Sciences: Employment. Alapat:University of Arkansas for Medical Sciences: Employment. Zangari:University of Arkansas for Medical Sciences: Employment; Onyx: Research Funding; Millennium: Research Funding; Novartis: Research Funding. Schinke:University of Arkansas for Medical Sciences: Employment. Heuck:Millenium: Other: Advisory Board; Janssen: Other: Advisory Board; Foundation Medicine: Honoraria; Celgene: Consultancy; University of Arkansas for Medical Sciences: Employment. van Rhee:University of Arkansa for Medical Sciences: Employment. Rosenthal:Cancer Research and Biostatistics: Employment. Epstein:University of Arkansas for Medical Sciences: Employment. Yaccoby:University of Arkansas for Medical Sciences: Employment. Davies:Janssen: Consultancy; Onyx: Consultancy; University of Arkansas for Medical Sciences: Employment; Millenium: Consultancy; Celgene: Consultancy. Morgan:MMRF: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; CancerNet: Honoraria; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Weismann Institute: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; University of Arkansas for Medical Sciences: Employment. Barlogie:University of Arkansas for Medical Sciences: Employment.

The Impact of Combination Chemotherapy and Tandem Stem Cell Transplant on Clonal Substructure and Mutational Pattern at Relapse of MM

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 372-372 ◽  
Author(s):  
Christoph Heuck ◽  
Niels Weinhold ◽  
Erich Allen Peterson ◽  
Michael Bauer ◽  
Caleb K. Stein ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Clonal Evolution ◽  
Advisory Board ◽  
Proliferation Index ◽  
University Of Arkansas ◽  
Medical Sciences ◽  
Advisory Committees ◽  
The Impact

Abstract Introduction: Next generation sequencing of over 800 newly diagnosed multiple myeloma (NDMM) cases has established the mutational landscape and key cancer driver pathways. The mutational basis of relapse has not been systematically studied. Two previous studies (Keats et al.; Bolli et al.) identified 4 patterns of clonal evolution. Neither study included uniformly treated patients and looked at the impact of therapy on clonal structure at relapse. Understanding the mutational patterns underlying relapse and how they relate to specific therapies is crucial in order to improve MM outcomes, especially for high-risk (HR) MM. In this study we compare the clonal structure at presentation (PRES) and at relapse (REL), after exposure to Total Therapy (TT). Materials and Methods: We studied 33 pairs of tumor samples collected at PRES and REL. 9 patients were treated on TT2, 13 on TT3, 10 on TT4 and 1 on TT5-like regimen. Eleven patients had HR disease at PRES. DNA was extracted from CD138+ selected cells from random bone marrow aspirates. Germline controls were obtained from leukapheresis products. Whole exome sequencing libraries were prepared using the Agilent qXT kit and the Agilent SureSelect Clinical Research Exome kit with additional baits covering the Ig and MYC loci. All samples were sequenced on an Illumina HiSeq2500 to a median depth of 120x. Sequencing data were aligned to the Ensembl GRCh37/hg19 human reference using BWA. Somatic variants were called using MuTect. Translocations were identified using MANTA. Copy number variations were inferred using TITAN. Gene expression profiles (GEP), generated using the Affymetrix U133plus2 microarray, were available for all tumor samples. Nonnegative matrix factorization (NMF) was used to define mutation signatures. Results: The median time to progression was 30 months with a median follow up of 9.5 years. 22 cases achieved a complete remission (CR) or near CR. There were 11 cases of HR at PRES. Of the 22 cases with low risk (LR) MM, 7 relapsed with HR disease. There were on average 478 SNVs per sample at PRES and 422 at REL. All but 2 cases had evidence of new mutations at REL. There were no consistent patterns or number of mutation associated with REL or GEP-defined risk. Patients of the MF molecular subgroup had more mutations compared to other molecular subgroups (657 vs. 379) and were enriched for mutations with an APOBEC signature. We did not detect any mutation signature consistent with chemotherapy-induced alterations, providing evidence that TT itself does not cause additional mutations. Primary recurrent IgH translocations called by MANTA were confirmed by GEP data. A number of new translocations were identified , several only at REL. In particular we demonstrate a case with a newly acquired MYC translocation at relapse, indicating that it contributed to progression. We identified 5 patterns of clonal evolution (Figure 1): A) genetically distinct relapse in 3 patients, B) linear evolution in 8 patients, C) clonal selection in 9 patients, D) branching evolution in 11 patients, and E) stable clone(s) in 2 patients. Patterns A (distinct) and B (linear) were associated with low risk and longer survival, whereas patterns D (branching) and E (stable) were associated with high risk and shorter time to relapse and overall survival (Table 1). Conclusion: This is the first study to systematically analyze the pattern of clonal evolution using NGS in patients treated with combination chemotherapy and tandem ASCT. We identified 5 patterns of evolution, which correlate with survival. We identified 3 cases with a loss of the original clone and emergence of a new clone, suggesting high effectiveness of Total Therapy for those patients. The persistence of major clones despite multi agent chemotherapy in most other cases supports a concept of a tumor-initiating cell population that persist in a protective niche, for which new therapies are needed. Table 1. Pattern of Evolution GEP70 Pres.(high risk: ≥0.66) Proliferation Index Pres. GEP70 Rel.(high risk: ≥0.66) Proliferation Index Rel Mean OS Mean TTR A: distinct (n=3) -0.690 -3.34 -0.015 2.04 8.18 5.00 B: linear (n=8) -0.171 -0.34 0.618 9.22 5.70 4.05 C: selection (n=9) 0.366 3.20 0.569 6.97 3.95 2.64 D: branching (n=11) 0.710 5.17 1.173 11.15 3.84 2.21 E: stable (n=2) 1.532 7.42 1.124 2.54 0.96 0.35 Pres.: Presentation; Rel.: Relapse; OS: Overall Survival; TTR: Time to Relapse Figure 1. Patterns of Relapse Figure 1. Patterns of Relapse Disclosures Heuck: Foundation Medicine: Honoraria; Millenium: Other: Advisory Board; Janssen: Other: Advisory Board; Celgene: Consultancy; University of Arkansas for Medical Sciences: Employment. Weinhold:Janssen Cilag: Other: Advisory Board; University of Arkansas for Medical Sciences: Employment. Peterson:University of Arkansas for Medical Sciences: Employment. Bauer:University of Arkansas for Medical Sciences: Employment. Stein:University of Arkansas for Medical Sciences: Employment. Ashby:University of Arkansas for Medical Sciences: Employment. Chavan:University of Arkansas for Medical Sciences: Employment. Stephens:University of Arkansas for Medical Sciences: Employment. Johann:University of Arkansas for Medical Sciences: Employment. van Rhee:University of Arkansa for Medical Sciences: Employment. Waheed:University of Arkansas for Medical Sciences: Employment. Johnson:University of Arkansas for Medical Sciences: Employment. Zangari:University of Arkansas for Medical Sciences: Employment; Millennium: Research Funding; Onyx: Research Funding; Novartis: Research Funding. Matin:University of Arkansas for Medical Sciences: Employment. Petty:University of Arkansas for Medical Sciences: Employment. Yaccoby:University of Arkansas for Medical Sciences: Employment. Davies:University of Arkansas for Medical Sciences: Employment; Millenium: Consultancy; Janssen: Consultancy; Onyx: Consultancy; Celgene: Consultancy. Epstein:University of Arkansas for Medical Sciences: Employment. Barlogie:University of Arkansas for Medical Sciences: Employment. Morgan:Weismann Institute: Honoraria; MMRF: Honoraria; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; University of Arkansas for Medical Sciences: Employment; CancerNet: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees.

scholarly journals A Phase II Study of Daratumumab in Patients with High-Risk MGUS and Low-Risk Smoldering Multiple Myeloma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1649-1649
Author(s):  
Omar Nadeem ◽  
Robert A. Redd ◽  
Michael Z. Koontz ◽  
Jeffrey V. Matous ◽  
Andrew J. Yee ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Plasma Cells ◽  
Low Risk ◽  
M Protein ◽  
Advisory Committees ◽  
Bone Marrow Plasma

Abstract Introduction : Daratumumab (Dara) is an anti-CD38 monoclonal antibody that is approved for use in patients with newly diagnosed and relapsed multiple myeloma (MM). We hypothesized that early therapeutic intervention with Dara in patients with high-risk MGUS (HR-MGUS) or low-risk SMM (LR-SMM) would lead to eradication of the tumor clone by achieving deep responses, resulting in prevention of progression to MM. We present results of our phase II, single arm study of Dara in HR-MGUS and LR-SMM. Methods : Patients enrolled on this study met eligibility for either HR-MGUS or LR-SMM. HR-MGUS is defined as &lt;10% bone marrow plasma cells and &lt;3g/dL M protein and at least 2 of the following 3 high-risk criteria: Abnormal serum free light chain ratio (SFLC) of &lt;0.26 or &gt;1.65, M protein ≥ 1.5g/dL or non-IgG M protein. LR-SMM is defined by one of the following 3 criteria: M protein ≥3g/dL, ≥10% bone marrow plasma cells, SFLC ratio &lt;0.125 or &gt;8. Dara (16mg/kg) was administered intravenously on a weekly schedule for cycles 1-2, every other week cycles 3-6, and monthly during cycles 7-20. The primary objective of this study was to determine the proportion of patients who achieve very good partial response (VGPR) or greater after 20 cycles of Dara. Secondary objectives included duration of response, safety, and rates of minimal residual disease (MRD)-negativity in VGPR or greater patients. Correlative studies included assessing changes in immune microenvironment, evaluating clonal heterogeneity using deep sequencing, and determining association of genomic aberrations correlating with either response to therapy or progression of disease. Results : At the time of data cutoff, a total of 42 patients were enrolled on this study from 2018 to 2020 with participation of 5 sites. The median age for all patients at enrolment was 60 years (range 38 to 76), with 22 males (52.4%) and 20 females (47.6%). Majority of patients enrolled were classified as LR-SMM (n = 37, 88.1%) and the remaining 5 patients had HR-MGUS (11.9%). 41 patients have started treatment and are included in toxicity assessment, and 40 patients have at least completed 16 cycles (range 6-20). Grade 3 toxicities were rare and only experienced in 5/41 patients including diarrhea (n =1/41; 2%), flu like symptoms (n = 1/41; 2%), headache (n=1/41; 2%), and hypertension (n=2/41; 5%). Most common toxicities of any grade included fatigue (n = 24/41, 51%), cough (n = 19/41, 46%), nasal congestion (n = 18/41, 44%), headache (n = 14/41, 34%), hypertension (n = 11/41, 27%), nausea (n = 13/41, 32%), and leukopenia (n = 13/41, 32%). No patients have discontinued therapy due to toxicity. Minimal response or better was observed in 82.9% of patients (34/41) and PR or better was observed in 51.2% of patients (21/41). This included overall CR (n = 4, 9.8%), VGPR (n = 1, 2.4%), PR (n = 16, 39.0%), MR (n = 13, 31.7%), and SD (n = 7, 17.1%). In the 40 patients who completed at least 16 cycles, response rates were as follows: MR or better 85% (34/40), PR or better 52.5% (21/40) and VGPR or better 12.5% (5/40). Median time to VGPR was 7 months. Median overall survival and progression-free survival have not been reached and no patients have progressed to overt multiple myeloma while on study. Conclusion : Dara is very well tolerated among patients with HR-MGUS and LR-SMM with minimal toxicities. Responses are seen in majority of patients. Early therapeutic intervention in this precursor patient population appears promising but longer follow up is required to define the role of single agent Dara in preventing progression to MM, therefore avoiding more toxic interventions in this low-risk patient population. Disclosures Nadeem: Karyopharm: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees. Yee: GSK: Consultancy; Oncopeptides: Consultancy; Janssen: Consultancy; Amgen: Consultancy; Sanofi: Consultancy; Bristol Myers Squibb: Consultancy; Adaptive: Consultancy; Takeda: Consultancy; Karyopharm: Consultancy. Zonder: Caelum Biosciences: Consultancy; Amgen: Consultancy; BMS: Consultancy, Research Funding; Intellia: Consultancy; Alnylam: Consultancy; Janssen: Consultancy; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Regeneron: Consultancy. Rosenblatt: Attivare Therapeutics: Consultancy; Imaging Endpoints: Consultancy; Parexel: Consultancy; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Research Funding; Wolters Kluwer Health: Consultancy, Patents & Royalties. Mo: AbbVIE: Consultancy; BMS: Membership on an entity's Board of Directors or advisory committees; Eli Lilly: Consultancy; Epizyme: Consultancy; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; Karyopharm: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees. Sperling: Adaptive: Consultancy. Richardson: Karyopharm: Consultancy, Research Funding; AstraZeneca: Consultancy; AbbVie: Consultancy; Takeda: Consultancy, Research Funding; Celgene/BMS: Consultancy, Research Funding; Janssen: Consultancy; GlaxoSmithKline: Consultancy; Protocol Intelligence: Consultancy; Secura Bio: Consultancy; Regeneron: Consultancy; Sanofi: Consultancy; Oncopeptides: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy, Research Funding. 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 B-PRISM (Precision Intervention Smoldering Myeloma): A Phase II Trial of Combination of Daratumumab, Bortezomib, Lenalidomide and Dexamethasone in High-Risk Smoldering Multiple Myeloma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4782-4782
Author(s):  
Omar Nadeem ◽  
Robert A. Redd ◽  
Julia Prescott ◽  
Amada Metivier ◽  
Kelsey Tague ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Board Of Directors ◽  
Phase Ii ◽  
Research Funding ◽  
Plasma Cells ◽  
M Protein ◽  
Focal Lesion ◽  
Advisory Committees

Abstract Background: Early therapeutic intervention with lenalidomide and dexamethasone in patients with high-risk smoldering multiple myeloma (HR-SMM) has shown to be effective by delaying time to progression to overt myeloma (Lonial J Clin Oncol 2020 Apr 10;38(11):1126-1137). Triplet and quadruplet combination therapies utilizing a proteasome inhibitor, immunomodulatory agent and a CD38 monoclonal antibody are used extensively in patients with multiple myeloma due to far greater efficacy compared to lenalidomide and dexamethasone alone. These combinations have been studied in HR-SMM, demonstrating encouraging activity, including ixazomib, lenalidomide and dexamethasone and elotuzumab, lenalidomide and dexamethasone. There are also current ongoing studies with curative intent utilizing more potent therapy in HR-SMM, including carfilzomib, lenalidomide and dexamethasone with autologous stem cell transplantation (Mateos EHA 2019, abstract S871) and daratumumab, carfilzomib, lenalidomide and dexamethasone (NCT03289299). Daratumumab, bortezomib, lenalidomide and dexamethasone (D-RVD) combination is highly effective and well-tolerated in newly diagnosed multiple myeloma at achieving high response rates as well as minimal residual disease (MRD) negativity based on results from the phase II GRIFFIN trial (Voorhees Blood 2020 Aug 20;136(8):936-945). Thus, we propose to examine the activity and safety of D-RVD in patients with HR-SMM. Study Design and Methods: This is a phase II single center, single-arm, open label study evaluating the combination of D-RVD in HR-SMM. Primary objective of this study is to determine the proportion of HR-SMM patients who are MRD negative at 2 years after receiving D-RVD. Secondary objectives include MRD negativity rate at 6 months, 12 months, 24 months and 36 months, progression-free survival, response rates and safety. Exploratory objectives include assessment of mass spectrometry quantification of M protein, examination of molecular evolution of tumor cells and to determine role of immune cells in progression of SMM. Patients must meet criteria for HR-SMM based on bone marrow clonal plasma cells ≥10% and any one or more of the following: Serum M protein ≥3.0 gm/dL, immunoparesis with reduction of two uninvolved immunoglobulin isotypes, serum involved/uninvolved free light chain ratio ≥8 (but less than 100), progressive increase in M protein level (evolving type of SMM), bone marrow clonal plasma cells 50-60%, abnormal plasma cell immunophenotype (≥95% of bone marrow plasma cells are clonal) and reduction of one or more uninvolved immunoglobulin isotypes, high risk FISH defined as any one or several of the following: t(4;14), t(14;16), t(14;20), del 17p or 1q gain, MRI with diffuse abnormalities or 1 focal lesion (≥5mm), PET-CT with one focal lesion (≥5mm) with increased uptake without underlying osteolytic bone destruction. Patients that meet high risk definition by the new Mayo/IMWG 2018 "20-2-20" criteria are also eligible if they have 2 out of the following 3 criteria: Bone marrow plasmacytosis ≥20% , ≥2g/dl M protein, ≥20 involved: uninvolved serum free light chain ratio. Treatment duration with D-RVD is for 2 years (24 cycles). Daratumumab is administered at a dose of 1800mg subcutaneously (SQ) weekly for cycles 1-2, biweekly for cycles 3-6 and monthly until completion of cycle 24. Bortezomib is given at a dose of 1.3mg/m2 SQ on days 1, 8, 15 for cycles 1-6 and then biweekly until completion of cycle 24. Lenalidomide is administered on days 1-21 at a dose of 25mg for cycles 1-6 and 15mg for cycles 7-24. Dexamethasone is administered weekly at 20mg cycles 1-6 and biweekly during cycles 7-24. All eligible patients will undergo stem cell collection after cycle 6 of therapy. A single-stage design will be employed with 30 eligible patients entered. If 12 or more of the 30 eligible patients are MRD negative at 2 years (observed rate of &gt;=40%), we will conclude that this treatment warrants further study. The probability of concluding that the treatment is effective if the true rate is 25% is 0.051 and is 0.90 if the true rate is 50%. Figure 1 Figure 1. Disclosures Nadeem: Karyopharm: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Mo: Karyopharm: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees; Epizyme: Consultancy; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Eli Lilly: Consultancy. Sperling: Adaptive: Consultancy. Richardson: Takeda: Consultancy, Research Funding; Sanofi: Consultancy; Celgene/BMS: Consultancy, Research Funding; Janssen: Consultancy; Secura Bio: Consultancy; Protocol Intelligence: Consultancy; GlaxoSmithKline: Consultancy; Regeneron: Consultancy; AbbVie: Consultancy; Karyopharm: Consultancy, Research Funding; Oncopeptides: Consultancy, Research Funding; AstraZeneca: Consultancy; Jazz Pharmaceuticals: Consultancy, Research Funding. 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.

Sign in / Sign up

Export Citation Format

Share Document