Abstract: Introduction Multiple Myeloma (MM) pathogenesis is characterised by extensive genetic and clonal evolution with frequent on-treatment progression. To date, most studies have focused on single diagnostic or paired diagnostic relapse biopsies, and the molecular mechanisms eventually resulting in treatment failure are poorly understood. To determine the molecular underpinnings of disease in its most advanced stage, we performed comprehensive genome profiling of 4 patients with extra-medullary metastatic disease. Methods A total of 8 patients with extramedullary myeloma with 188 (median = 22) distinct metastatic lesions were enrolled as part of the medical donation program at MSK. Here, we present results from 4 patients. Patients 1 and 2 had an indolent disease with a total survival of ~10 years whereas patients 3 and 4 had very aggressive disease and 2-3 years survival. All patients had received a sequence of multi-modal myeloma treatments. Targeted gene sequencing using a myeloma specific targeted panel myTYPE was performed in 28 samples from all 4 patients to a median coverage of 667x. Additionally, 6 tumors from patients 1 and 2 were subject to WGS to a median coverage 92x. Results Driver events: Aberrations across all 28 samples sequenced using myTYPE were examined. We found t(4;14) in Patients 3 and 4 across all the metastatic lesions consistent with previous knowledge that these are early initiating events. Besides IGH translocations, we found copy number changes involving 1p-, 1q+ and 13q-. Patient 1 and 2 had 17p- and 8p- shared across all the metastatic lesions. All patients had RAS/RAF pathway mutations and additional mutations were found in FAM46C, TP53 and BIRC3. In WGS, we observed a median SNV, Indel & SV burden of 12150, 1196 & 70.5 respectively. This mutational load is greater than two-fold higher to previously published estimates derived from primary diagnostic samples. Clonal structure using WGS: Clonal phylogeny was constructed using nDirichlet process clustering. Evaluation of mutation and clonal spectra showed evidence of clonal diversification amongst sites but within each sample all mutations had fully clonal cancer cell fractions, i.e. there were no subclones. For Patient 1, the phylogenetic tree was dominated by 9,099 truncal mutations, and 150-462 site specific yet clonal mutations. For Patient 2, the tree was dominated by 8,540 truncal mutations and site specific clonal mutations (n= 356; 1,186). However, evaluation of copy number alterations showed evidence of subclonal emergence of copy number aberrations implicating chromosomes 5, 8,16,18, 20, 21. This suggests that in these patients late stage tumor development and metastatic dissemination is further shaped by accrual of CNAs. Mutational processes using WGS: Signature analysis was performed by deconvolution of observed WGS mutations on the set of mutational signatures reported by Alexandrov et al. Consistent with previous reports, Signature 9 was identified as the dominant mutation signature, contributing to a median of 27% of all mutations in our cohort. Signature 9 is related to AID and has been previously implicated in early myeloma pathogenesis. Whilst canonical IGH translocations were not identified in Patient 1 or 2, Patient 1 showed evidence for chromoplexy with closed chain translocations having breakpoints spanning chromosomes 1, 4, 11, 16, 17, 19 across all 4 sites. Patient 2 presented with localised hypermutation on chromosomes 1, 5 and 22 which are shared between the 2 sites. These results suggest that subsequent clonal sweeps have acted upon the genome since disease initiation. Conclusion Preliminary data from multi-region WGS of the evolutionary end-stage in MM shows a single dominant clone with known driver events in each patient. This is in contrast to the subclonal heterogeneity characteristic of early disease, and presents opportunities for targeted therapies. Our observations are consistent with convergent evolution, where selective pressure from many years of therapy results in a relatively homogenous genomic landscape. A larger cohort of samples will ascertain patterns of biological processes we present here. These early investigations provides new insights on MM pathogenesis and metastatic dissemination. Disclosures Landgren: Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Research Funding; Karyopharm: Consultancy; Pfizer: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Lesokhin:Genentech: Research Funding; Serametrix, inc.: Patents & Royalties: Royalties; Janssen: Research Funding; Takeda: Consultancy, Honoraria; Squibb: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding.

Abstract: INTRODUCTION Using Carfilzomib, Lenalidomide and Dexamethasone (KRd) combination therapy in newly diagnosed multiple myeloma patients lead to ~40% minimal residual disease (MRD) negativity rate. Here, we use KRd in combination with daratumumab (DKRd); and treatment response is assessed with extensive correlative science including parallel bone-marrow-based and blood-based MRD tracking, together with targeted DNA sequencing of baseline bone marrow samples. Primary end-point is to rule out 60% and to target up to 80% MRD negativity rate. METHODS This is a single-arm, Phase II clinical trial based on Simon's optimal two-stage design. The first cohort (twice-a-week carfilzomib) (N=41) has the following treatment schedule: 8 cycles of treatment; 28-day cycles with carfilzomib 20/36 mg/m2 days 1, 2, 8, 9, 15 and 16; lenalidomide 25 mg days 1-21; dexamethasone 40 mg weekly cycles 1-4, 20 mg after cycle 4; and daratumumab 16 mg/kg days 1, 8, 15, and 22 cycles 1-2, days 1 and 15 cycles 3-6, and day 1 cycles 7-8. The second cohort (once-a-week carfilzomib) (N=41): 8 cycles of treatment; 28-day cycles with carfilzomib 20/56 mg/m2 days 1, 8, and 15; lenalidomide, dexamethasone, and daratumumab are given at the same doses/schedules as the first cohort. For fit patients, stemcell collection is recommended after 4 to 6 cycles of therapy; DKRd therapy is resumed after collection to a total of 8 cycles DKRd. Treatment response is being assessed with parallel bone-marrow-based (10-color single tube flowcytometry, invivoscribe V(D)J sequencing) as well as blood-based (MALDI-TOF and QTOF-mass spectrometry [MS]) for MRD tracking. Baseline bone marrow samples are evaluated with targeted DNA sequencing for FISH-Seq and somatic mutational characteristics (myTYPE). Here, we present the first stage (N=28) of the first cohort (twice-a-week carfilzomib). We are waiting for the results to mature before the second stage (N=13) of the first cohort can open. The second cohort (once-a-week carfilzomib) is opening for enrollment in August 2018 (N=41). RESULTS The first stage of the first cohort is fully enrolled; 28 patients meeting eligibility criteria were enrolled onto study (14 males, 14 females) between October 2017 and July 2018. Baseline characteristics include; median age 60 years (range 32-80 years); 12(43%) patients had high-risk FISH/SNP signature defined as one or more of the following: 1q+, t(4,14), t(14,16), t(14,20), and 17p-. At the submission of this abstract, 20 patients have completed one or more cycles DKRd; among these, 3 patients have completed all 8 cycles. The median number of cycles delivered is currently 4 (range 1-8). Full assessments with MRD assays have been completed in 3 patients: -Pt #1 obtained complete response (CR) after 3 cycles, and workup after the last cycle of therapy showed MRD-negativity (by 10-color single tube flowcytometry and V(D)J sequencing) in the bone marrow; and peripheral blood (serum) was negative by MALDI-TOF MS after completion of cycle 2. -Pt#2 obtained CR after 4 cycles, however, workup after cycle 5 showed MRD-positivity (by 10-color single tube flowcytometry and V(D)J sequencing) in the bone marrow; and peripheral blood (serum) was positive by MALDI-TOF MS throughout the end of the last cycle. -Pt#3 obtained CR after 4 cycles and after 6 cycles both 10-color single tube flowcytometry and V(D)J sequencing showed MRD-negativity in the bone marrow. However, MALDI-TOF MS detected small abnormal serum proteins in peripheral blood and remained positive throughout the end of cycle 8. Overall, the DKRd therapy is well tolerated and it has similar toxicity profile as KRd. Grade 〉 3 adverse events were hypotension, musculoskeletal deformity, back pain, dyspnea, lung-infection, and febrile neutropenia. So far, 5 patients underwent dose reductions of lenalidomide. CONCLUSIONS In this pre-planned interim analysis of our phase II study, we show that DKRd is a highly effective and well tolerated combination therapy for newly diagnosed multiple myeloma patients. Based on small numbers of patients who have completed the planned DKRd cycles and been evaluated by bone marrow-based MRD and peripheral-blood based assays, we show that highly sensitive protein assays may allow longitudinal MRD tracking in peripheral-blood. At the meeting, we will present updated results using longitudinal testing with MALDI TOF-MS and QTOF-MS on the entire cohort. Disclosures 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; Amgen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Pfizer: Consultancy; Karyopharm: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees. Lesokhin:Takeda: Consultancy, Honoraria; Janssen: Research Funding; Squibb: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Genentech: Research Funding; Serametrix, inc.: Patents & Royalties: Royalties. Mailankody:Juno: Research Funding; Physician Education Resource: Honoraria; Takeda: Research Funding; Janssen: Research Funding. Smith:Celgene: Consultancy, Patents & Royalties: CAR T cell therapies for MM, Research Funding. Hassoun:Oncopeptides AB: Research Funding. Shah:Amgen: Research Funding; Janssen: Research Funding. Arcila:Invivoscribe, Inc.: Consultancy, Honoraria. Ho:Invivoscribe, Inc.: Honoraria. Korde:Amgen: Research Funding.

Abstract: Background Minimal residual disease (MRD) negativity is a strong predictor for outcome in multiple myeloma. Next generation sequencing (NGS) for immunoglobulin heavy chain and kappa light chain VDJ rearrangements has become increasingly more common for MRD assessment. One of the known challenges with NGS for VDJ rearrangements is the vast diversity of sequences that are present, resulting in a need for a multiplex approach as common primers cannot be used to amplify all rearrangements. Also, somatic hypermutation may affect the annealing of primers and decrease the capture rate. The NGS VDJ assay developed by Adaptive Biotechnologies targets all theoretical combinations of VDJ sequences and has been used in several recent large randomized trials in multiple myeloma. The reported ~80% capture rate of the first version of the Sequenta/Adaptive 1.3 assay limited the ability to track MRD status post therapy. The assay has recently been updated and validated to increase resilience to somatic hypermutation. As there is no published reference data using this assay, we were motivated to assess VDJ capture in the clinical setting. Methods In total, 147 patients with newly diagnosed multiple myeloma (NDMM, n=101) or relapse/refractory multiple myeloma (RRMM, n=46) seen at Memorial Sloan Kettering Cancer Center were identified and included in the study. At bone marrow collection, patient samples were sorted for mononuclear cells and a subset of samples were sorted for CD138+ plasma cells. Stored bone marrow samples from these patients underwent DNA extraction and were sequenced with the Adaptive NGS VDJ assay. The same samples were also sequenced for genomic events using our internal NGS panel myTYPE. myTYPE is a custom capture panel targeting the most frequent multiple myeloma associated-somatic mutations, copy number alterations, and IGH translocations. Logistic regression was used to calculate odds ratios (ORs) with 95% confidence intervals (CIs) of detection success in relation to clinical parameters such as age, gender, percent bone marrow plasma cells, as well as immunoglobulin heavy and light chain types, and myTYPE positivity. Results There overall capture rate for a unique VDJ sequence was 80%, 75% in NDMM samples and 89% in RRMM samples, respectively. The VDJ capture rate in samples that were myTYPE positive, e.g. samples with at least one genomic aberration detected by myTYPE, was 94%. In univariate analysis, the ORs of detecting a clonal VDJ sequence was 1.8 (95% CI 1.3-2.5) and 1.5 (1.2-1.9) for every 10% increase in plasma cells on bone marrow aspirate and biopsy, respectively. For every 1g/dL increase in M-spike, the OR of VDJ capture was 1.6 (1.2-2.2). Samples with at least one genomic aberration detected by myTYPE had a significantly higher detection rate of VDJ sequence, the OR of VDJ capture in myTYPE positive samples was 8.8 (3.2-31.3). Conversely, age, gender, type of immunoglobulin heavy chain (IgG or IgA), or light chain type (kappa or lambda) had no significant effect on the VDJ detection rate (Table). In multivariate analysis, myTYPE positivity was found to be an independent predictor of VDJ capture, with an OR of 4.9 (1.6-18.4, p=0.009) for myTYPE positive samples. The ORs were 1.4 (1.1-2.2, p=0.052) for an increase in 10% plasma cells on bone marrow aspirate and 1.5 (0.97-2.3, p=0.083) every 1g/dL increase in M-spike. Conclusion The VDJ capture rate using the updated Adaptive NGS VDJ assay was 94% in multiple myeloma samples of high quality as indicated by myTYPE positivity. The capture success rate was higher in samples with a greater disease burden. As expected, the assay was less sensitive in samples with insufficient DNA content. Our results are supportive of the use of this NGS VDJ in multiple myeloma, but also illustrate the importance of optimal sample ascertainment and processing. Disclosures Jacob: Adaptive Biotechnologies: Employment, Equity Ownership. Korde:Amgen: Research Funding. Mailankody:Juno: Research Funding; Physician Education Resource: Honoraria; Janssen: Research Funding; Takeda: Research Funding. Lesokhin:Serametrix, inc.: Patents & Royalties: Royalties; Squibb: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Janssen: Research Funding; Genentech: Research Funding. Hassoun:Oncopeptides AB: Research Funding. Smith:Celgene: Consultancy, Patents & Royalties: CAR T cell therapies for MM, Research Funding. Landgren:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy; Amgen: Consultancy, 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; Celgene: Consultancy, Research Funding.

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.