Abstract 3163: Peripheral blood circulating multiple myeloma cells (CMMCs) correlate with disease burden and can be used to characterize high-risk cytogenetics in newly diagnosed and smoldering myeloma

Background High risk smoldering multiple myeloma (HRSMM), defined as having immunoparesis and at least 95% abnormal plasma cells/all plasma cells by advanced flow cytometry, has a risk of progression to multiple myeloma of about 75% after 5 years of diagnosis. These patient have no symptoms and current standard is to follow them without treatment. Isatuximab is an IgG1 monoclonal antibody that binds to CD38 highly expressed in myeloma cells. Isatuximab has activity as monotherapy (overall response rate (ORR) 35%), with lenalidomide/dexamethasone (ORR 56%) and pomalidomide/dexamethasone (ORR 62%) in relapsed MM. We designed a phase II study to test the efficacy of isatuximab in high risk smoldering myeloma. Our study is registered in clinicaltrials.gov as NCT02960555. Methods The primary endpoint of the study is the ORR of isatuximab 20 mg/kg IV days 1, 8, 15, 22 cycle 1; days 1, 15 cycles 2-6 and day 1 cycles 7-30 in high risk smoldering myeloma. 24 patients were accrued in the first stage (of maximum 61 patients). Secondary endpoints are PFS, OS, clinical benefit rate (CBR). Exploratory endpoints are quality of life analysis (QoL), MRD, molecular/immune characterization using DNA/RNA sequencing of myeloma cells and the microenvironment before and after treatment. Results 24 patients with HRSMM were accrued from 02/08/2017 until 12/21/2018 (Table 1). All patients are evaluable for response. Best responses: ORR (≥PR) 15(62.5%), CR MRD- flow at 10-5 1 (5%), VGPR 4 (17%), PR 10 (42%), minor response (MR) 4 (18%), stable disease 5 (21%); CBR (≥MR) 79%. Median number of cycles received were 11.5 (range 6-30). Five patients have stopped treatment (one has completed the study, one with heavy history of smoking was diagnosed with squamous cell cancer of the tongue, one could no longer travel to treatments due to relocation, two progressed to active multiple myeloma after 16 and 6 cycles of treatment, respectively). There have been no deaths. DNA/RNA seq is ongoing for biomarkers of response. There were 5 grade 3 severe treatment-related adverse events (RAE) which resolved to baseline: dyspnea -related to infusion reaction (n=2), headache (n=1), ANC decrease (n=1), urinary tract infection (n=1). Most common grade 1-2 related adverse events (n): nausea (7), vomit (5), WBC decrease (3), diarrhea (3), fatigue (6), headache (4), mucositis (4), myalgia (4) and infusion reaction (3). In patients with available QoL functional scores (n=9 at baseline and n=7 after 6 months of therapy), isatuximab was effective in reducing their anxiety and worry of progression to multiple myeloma. Isatuximab also improved general QoL scores by the end of cycle 6 of treatment which were now comparable to those in the general population (Figure 1). Conclusion Isatuximab is very well tolerated, results in high response rates in HRSMM and has the potential to change the natural history of this disease. In ongoing QoL analysis, initial data shows improvement in QoL and decreased cancer worry after isatuximab treatment. Immune-genomic analysis is ongoing and may identify patients that benefit the most from treatment. Disclosures Manasanch: celgene: Honoraria; merck: Research Funding; quest diagnostics: Research Funding; sanofi: Research Funding; BMS: Honoraria; Sanofi: Honoraria. Jagannath:Multiple Myeloma Research Foundation: Speakers Bureau; BMS: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Medicom: Speakers Bureau; Merck: Consultancy. Lee:Daiichi Sankyo: Research Funding; Celgene: Consultancy, Research Funding; GlaxoSmithKline plc: Research Funding; Sanofi: Consultancy; Takeda: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Patel:Poseida Therapeutics, Cellectis, Abbvie: Research Funding; Oncopeptides, Nektar, Precision Biosciences, BMS: Consultancy; Takeda, Celgene, Janssen: Consultancy, Research Funding. Kaufman:Janssen: Other: travel/lodging, Research Funding. Thomas:Xencor: Research Funding; BMS: Research Funding; Celgene: Research Funding; Amgen: Research Funding. Mailankody:Takeda Oncology: Research Funding; Juno: Research Funding; Celgene: Research Funding; Janssen: Research Funding; CME activity by Physician Education Resource: Honoraria. Lendvai:Janssen: Employment. Neelapu:Acerta: Research Funding; Celgene: Consultancy, Research Funding; BMS: Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Incyte: Consultancy; Merck: Consultancy, Research Funding; Allogene: Consultancy; Cellectis: Research Funding; Poseida: Research Funding; Karus: Research Funding; Pfizer: Consultancy; Unum Therapeutics: Consultancy, Research Funding; Novartis: Consultancy; Precision Biosciences: Consultancy; Cell Medica: Consultancy. Orlowski:Poseida Therapeutics, Inc.: Research Funding. Landgren:Sanofi: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Adaptive: 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, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Theradex: Other: IDMC; Abbvie: Membership on an entity's Board of Directors or advisory committees; Merck: Other: IDMC. OffLabel Disclosure: Isatuximab for the treatment of smoldering myeloma

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Non-Invasive Liquid Biopsy to Quantify and Molecularly Characterize Circulating Multiple Myeloma Cells in the Assessment of Precursor Disease Pathology

Blood ◽

10.1182/blood-2021-150622 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 78-78

Author(s):

Ankit K. Dutta ◽

Elizabeth D. Lightbody ◽

Ziao Lin ◽

Jean-Baptiste Alberge ◽

Romanos Sklavenitis-Pistofidis ◽

...

Keyword(s):

Multiple Myeloma ◽

Bone Marrow ◽

High Risk ◽

Molecular Characterization ◽

Peripheral Blood ◽

Plasma Cells ◽

Whole Genome ◽

Myeloma Cells ◽

Molecular Analyses ◽

Non Invasive

Abstract Introduction: Multiple Myeloma (MM) is an incurable hematologic malignancy characterized by the abnormal growth of clonal plasma cells in the bone marrow (BM). In most cases MM develops from early, asymptomatic disease stages known as Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM). Despite effective new therapies, most MM patients inevitably relapse and require further treatment, highlighting the need for better early detection methods for precursor patients and targeted interventions to prevent early disease from progressing. The initial diagnosis of MGUS/SMM remains an incidental process following the identification of increased clonal immunoglobulin in the blood. BM biopsy is the gold standard for diagnosis and monitoring of MM progression, but is intrusive, painful, and comes with possible secondary complications for patients. Consequently, repeated assessment is not a feasible option for MGUS and SMM patients who are asymptomatic. Here we tested the utility of circulating multiple myeloma cells (CMMCs) from non-invasive blood biopsy to accompany BM as a method to monitor disease development, by enumerating CMMCs from MGUS/SMM patients. Methods: Peripheral blood from 185 precursor patients (75 MGUS and 110 SMM) from the Dana-Farber Cancer Institute observational PCROWD study (IRB #14-174) was collected in CellRescue TM Preservative Tubes and processed on the CellSearch CellTracks Autoprep system using the CMMC assay kit using 4mL of blood. This assay employs the enrichment of CMMCs through the immunophenotype of CD138 +CD45 -19 -, and leukocyte exclusion based on CD45 +CD19 +. Nucleated cells were identified using DAPI staining. The CellTracks Analyzer II fluorescence microscope system was subsequently used to scan captured CMMC cartridges, with software allowing the automated scoring and enumeration of CMMCs. Additional molecular analyses were carried out on SMM patients. Briefly, minipools of CMMCs were sorted by DEPArray and underwent whole genome amplification using Ampli1 kit, PCR-free library construction, quantification and low pass whole genome sequencing (~0.5x) on the Illumina HiSeq2500. To assess whether molecular analyses can be performed to detect hyperdiploidy as a genomic biomarker of MM disease, ichorCNA analyses was performed to determine copy number variant (CNV) events and infer tumour fraction. Results: CMMCs were detected in 27% of MGUS patients collected, with a median count of 2 CMMCs (range 0 to 1328). Comparably, CMMCs were detected in 57% of SMM patients, with a median enumeration of 13 CMMCs (range 0 to 43836). Enumeration of CMMCs illustrated a correlation with clinical measure of disease including the International Myeloma Working Group 2/20/20 risk stratification model. A higher CMMC count was associated with increasing risk group based on the 3-risk factor model, with a median of 5, 29 and 59 CMMCs detected at low, intermediate, and high-risk SMM groups, respectively. CMMC counts were significantly increased at intermediate (P = 5.0 x 10 -4) and high-risk stages (P = 3.7 x 10 -3) compared to low-risk. While enumeration provides a correlative measure of CMMCs that may be of tumor origin, downstream molecular characterization can confirm MM-associated genetic alterations. At the precursor stages, a low tumour burden is evident clinically, thus both normal and malignant plasma cells are present. Therefore, to determine the concordance between bone marrow and peripheral blood CMMCs, we performed genomic analyses to identify arm level gain or loss events. Molecular analyses of CMMCs was carried out in patients who had matched BM and clinical fluorescent in situ hybridization (FISH) results. We showed that CMMCs can capture 100% of clinically annotated BM FISH CNV events. Furthermore, CMMC samples identified additional yield, with further CNVs identified that were not observed by FISH. In cases that did not have BM biopsy results, sequencing of CMMCs revealed the existence of genetic aberrations. Conclusion: Our results demonstrate clinical correlation and molecular characterization of CMMCs from MGUS/SMM patients. This study provides a foundation for non-invasive detection, enumeration and genomic interrogation of rare CMMCs from the peripheral blood of MGUS/SMM, illustrating the clinical potential of using liquid biopsies for monitoring and managing disease in the precursor setting of MM. Disclosures 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.

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Multiple myeloma immunoglobulin λ translocations portend poor prognosis

10.1101/340877 ◽

2018 ◽

Cited By ~ 1

Author(s):

Benjamin G. Barwick ◽

Paola Neri ◽

Nizar J. Bahlis ◽

Ajay K. Nooka ◽

Jonathan L. Kaufman ◽

...

Keyword(s):

Multiple Myeloma ◽

Transcription Factor ◽

High Risk ◽

Poor Prognosis ◽

Plasma Cells ◽

Whole Genome ◽

Newly Diagnosed ◽

Myeloma Cells ◽

Current Therapies ◽

Standard Risk

AbstractMultiple myeloma is a malignancy of antibody-secreting plasma cells. Most patients benefit from current therapies, however, 20% of patients relapse or die within two years and are deemed ‘high-risk’. To better understand and identify high-risk myeloma, we analyzed the translocation landscape of 826 newly-diagnosed patients by whole genome sequencing as part of the CoMMpass study. Translocations at the IgL locus were present in 10% of myeloma patients, and corresponded with poor prognosis. Importantly, 70% of IgL translocations co-occurred with hyperdiploid disease, a marker of standard risk, which is routinely diagnosed clinically whereas IgL-translocations are not. Thus, it is likely that the majority of IgL-translocated myeloma is being misclassified. The IgL enhancer is among the strongest in myeloma cells, indicating it can robustly drive oncogene expression when translocated. Consistent with this, IgL-translocated patients failed to benefit from immunomodulatory imide drugs (IMiDs), which target the lymphocyte-specific transcription factor Ikaros. These data implicate the IgL enhancer as resistant to IMiD-inhibition, and when translocated, as a driver of poor prognosis.

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Increased Circulating Plasma Cells On Multiparametric Flow Cytometry As An Independent Prognostic Biomarker In Newly Diagnosed Multiple Myeloma: Implications For Redefining High-Risk Myeloma

Blood ◽

10.1182/blood.v122.21.1842.1842 ◽

2013 ◽

Vol 122 (21) ◽

pp. 1842-1842

Author(s):

Wilson I Gonsalves ◽

Vinay Gupta ◽

S. Vincent Rajkumar ◽

William G Morice ◽

Michael M Timm ◽

...

Keyword(s):

Multiple Myeloma ◽

Flow Cytometry ◽

Overall Survival ◽

High Risk ◽

Peripheral Blood ◽

Research Funding ◽

Light Chains ◽

Newly Diagnosed ◽

Risk Status ◽

Multiparametric Flow Cytometry

Abstract Background Prior studies have shown that presence of increased circulating plasma cell (PCs) identified using a slide-based immunofluorescence method is an adverse prognostic marker for overall survival in multiple myeloma (MM), and increases the risk of progression in patients with MGUS and smoldering MM. However, utility in clinical settings has been limited by the cumbersome nature of the test and lack of widespread availability. We studied the prognostic value of circulating PCs using sensitive multiparametric flow cytometry that enable us to quantitatively assess circulating PCs in patients with MM. Methods We evaluated all newly diagnosed MM patients seen at the Mayo Clinic, Rochester from 2009 to 2011 who had their peripheral blood samples evaluated by flow cytometry prior to therapy. Patients with plasma cell leukemia were excluded. Each blood sample had its peripheral blood mononuclear cells isolated by ficoll gradient and stained with antibodies to CD45, CD19, CD38, CD138 and cytoplasmic Kappa and Lambda Ig light chains. A six-color multi-parameter flow cytometer (Becton Dickinson FacsCantos II) was used to examine each sample with a target of detecting 150,000 events (cells) that was then analyzed using the Facs Diva Software. PCs were selectively analyzed through combinatorial gating using light scatter properties and CD38, CD138, CD19, and CD45. Normal PC's were then separated from clonal PCs based on the differential expression of CD45, CD19 and polytypic Ig light chains. The clonal PCs detected were reported out as the number of clonal events/150,000 collected total events. For those samples where less than 150,000 events were gated or examined, the number of final clonal events was adjusted to 150,000 events. Survival analysis was performed by the Kaplan-Meier method and differences assessed using the log rank test. Results There were 158 consecutive patients with newly diagnosed MM who had their peripheral blood evaluated via flow cytometry as part of their routine clinical evaluation. The median age of this group was 66 years (39-95) and 59% were male. At the time of this analysis, 25 patients had died and the 2-year OS rate for the cohort was 83%. The 2-year OS for the 89 (55%) patients with any circulating PCs was 76% compared with 91% for those with none (P=0.02). The median number of circulating clonal PCs was 33 (range, 0-46,413)/ 150,000 gated events. Using a ROC analysis the best cutoff predicting 1 and 2-year mortality were 435 and 376 events, respectively. Based on this, we defined >=400 events as a cutoff for defining patients with high-risk disease. The median time-to-next-treatment (TTNT) for patients with circulating clonal PCs >=400 (n=37, 23%) was 14 months compared with 26 months for those with <400 events (n=121, 77%) (p<0.001; Fig 1a). The median OS for those with >=400 clonal PC events was 32 months compared with not reached for those with <400 events (p<0.001; Fig 1b). Patients with >= 400 circulating PCs had higher ISS stage, creatinine, LDH, PC labeling index and bone marrow PC% compared with the rest. In a univariate analysis examining the presence of circulating PC >=400, LDH, labeling index, marrow PC% and FISH risk status, only circulating PCs were prognostic for overall survival (P = 0.0011). Among the 89 patients with any circulating PCs, 26 (30%) had CD45+ clonal PCs. The TTNT in patients with a clonal CD45+ population was inferior to those with no CD45+ clonal PCs in circulation (median 11 vs. 19 months, P = 0.034) as was the OS (P = 0.039). Conclusion Quantitative estimation of circulating clonal PCs in patients with newly diagnosed MM is a powerful predictor of early relapse from therapy and mortality. A cutoff of >=400 clonal events/150,000 gated mononuclear events predicts for a median TTNT of 14 months and OS of 32 months. This parameter is more powerful than the current high-risk parameters such as FISH risk status as well as traditional high-risk markers such as ISS stage and LDH levels, and is able to identify a group of patients with particularly poor outcome. Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: Consultancy, Research Funding.

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Evaluation Of Circulating Cell-Free VDJ DNA As a Marker For Monitoring Patients With Multiple Myeloma (MM) During Treatment With Carfilzomib, Lenalidomide and Dexamethasone,

Blood ◽

10.1182/blood.v122.21.1868.1868 ◽

2013 ◽

Vol 122 (21) ◽

pp. 1868-1868

Author(s):

Roger Kurlander ◽

Yixin LI ◽

Maryalice Stetler-Stevenson ◽

Constance Yuan ◽

Neha Korde ◽

...

Keyword(s):

Multiple Myeloma ◽

Peripheral Blood ◽

Disease Burden ◽

Protein Concentration ◽

Plasma Cells ◽

M Protein ◽

Off Label Use ◽

Myeloma Cells ◽

Off Label ◽

Before And After

Abstract Background Human plasma routinely contains measureable quantities of cell free DNA (cf-DNA). Some is generated directly within the vascular space, and some is presumably transported into the circulation from cells dying at extravascular sites. Recent studies using highly sensitive and specific detection methods demonstrate that tumor-derived circulating cf-DNA can be a powerful predictor of total body tumor burden in patients with colon and breast carcinoma. While cf-DNA monitoring is clearly a promising new approach, its general applicability in tracking other malignancies, which may vary widely in their patterns of distribution, vascularity, and cell turnover, remains to be determined. We conducted a pilot study to address the utility of cell free tumor DNA in monitoring disease burden in myeloma patients receiving combination chemotherapy. Methods All patients were enrolled in NIH protocols for treatment using carfilzomib, lenalidomide, and dexamethasone (CRd) combination chemotherapy. Molecular studies were performed using DNA from bone marrow (BM) aspirates obtained before and after CRd treatment, and cf-DNA extracted from 0.5-1 ml samples of plasma and/or serum obtained before each CRd cycle. The frequency and immunophenotype of myeloma cells in BM and blood was assessed using an 8-color flow cytometric panel to analyze >3 x106 events (sensitivity of 1 x 10-5). Clonal VDJ products were identified in pretreatment BM DNA using Biomed 2 primer “cocktails” targeting framework 1, 2, and 3 of the IgH chain and the variable region of the IgK light chain. Monoclonal VDJ or VJ products identified by capillary electrophoresis were cloned into pCR2.1 plasmid and sequenced. Quantitative rt-PCR assays employing patient-specific primer/Taqman probe combinations and linearized VDJ-plasmid DNA as a standard were used to measure VDJ in BM and cf-DNA. VDJ levels in BM DNA were normalized based on total actin copy number and expressed as % VDJ DNA. Cell free VDJ levels (cf-VDJ) were expressed in copies/ml of plasma or serum. Results To date, 6 patients with newly diagnosed multiple myeloma (NDMM) and 3 with smoldering myeloma (SMM) have been studied. BM infiltration with CD138+ plasma cells varied from 15% to 60% and VDJ DNA levels in BM varied from 13% to 61% in this group. Circulating cf-VDJ levels before therapy were >50 copies/ml in 3 patients (444, 200, and 70 copies), detectable but <50 copies/ml in 4 patients, and undetectable in 2 patients. Cf-VDJ levels, where measurable, decreased rapidly in parallel with the decline in monoclonal M-protein concentration after CRd therapy. Unlike M-protein concentrations, which were often more persistent, cf-VDJ levels became undetectable in all cases within 1-2 cycles. By comparison, VDJ levels in BM DNA often remained detectable at low levels even in patients with complete remission by conventional clinical and laboratory criteria. Of interest, there was no correlation between the pretreatment level of cf-VDJ and disease burden estimated based on the % CD138+ plasma cells in BM, the proportion of VDJ DNA in BM, or the M-protein concentration in blood/urine. There was however, a statistically significant relationship between the level of cf-VDJ and the number of circulating myeloma cells in peripheral blood. Conclusions In this pilot study, cf-VDJ is detected in the blood of many patients with untreated myeloma and levels fall precipitously in patients responding to highly effective CRd therapy. In some untreated patients, cf-VDJ copy numbers in peripheral blood are low, limiting assay sensitivity. Our observation of a statistical association between the level of cf-VDJ and the number of circulating myeloma cells in peripheral blood (defined by flow cytometry) suggests that circulating myeloma cell lysis potentially accounts for, at least a portion of, the observed levels of cf-VDJ. Future studies are needed to assess the potential of cf-VDJ DNA in peripheral blood and VDJ DNA in BM for tracking disease before and after anti-myeloma therapy. Disclosures: Off Label Use: The abstract discussess off-label use of carfilzomib and lenalidomide.

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Long-Term Follow-Up of the Gem2010 Trial of Bortezomib-Melphalan-Prednisone and Lenalidomide-Dexamethasone in Elderly, Newly Diagnosed Multiple Myeloma Patients: Impact of Age, High-Risk Cytogenetics and Minimal Residual Disease

SSRN Electronic Journal ◽

10.2139/ssrn.3220103 ◽

2018 ◽

Author(s):

María-Victoria Mateos ◽

Joaquín Martínez-López ◽

Miguel-Teodoro Hernández ◽

Enrique-M Ocio ◽

Laura Rosiñol ◽

...

Keyword(s):

Multiple Myeloma ◽

High Risk ◽

Minimal Residual Disease ◽

Residual Disease ◽

Newly Diagnosed ◽

Long Term Follow Up ◽

Minimal Residual

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MUKnine OPTIMUM protocol: a screening study to identify high-risk patients with multiple myeloma suitable for novel treatment approaches combined with a phase II study evaluating optimised combination of biological therapy in newly diagnosed high-risk multiple myeloma and plasma cell leukaemia

BMJ Open ◽

10.1136/bmjopen-2020-046225 ◽

2021 ◽

Vol 11 (3) ◽

pp. e046225

Author(s):

Sarah Brown ◽

Debbie Sherratt ◽

Samantha Hinsley ◽

Louise Flanagan ◽

Sadie Roberts ◽

...

Keyword(s):

Multiple Myeloma ◽

High Risk ◽

Plasma Cell ◽

Phase Ii ◽

Whole Body ◽

Cell Leukaemia ◽

High Dose ◽

Newly Diagnosed ◽

Genetic Changes ◽

Novel Treatment

IntroductionMultiple myeloma (MM) is a plasma cell tumour with over 5800 new cases each year in the UK. The introduction of biological therapies has improved outcomes for the majority of patients with MM, but in approximately 20% of patients the tumour is characterised by genetic changes which confer a significantly poorer prognosis, generally termed high-risk (HR) MM. It is important to diagnose these genetic changes early and identify more effective first-line treatment options for these patients.Methods and analysisThe Myeloma UK nine OPTIMUM trial (MUKnine) evaluates novel treatment strategies for patients with HRMM. Patients with suspected or newly diagnosed MM, fit for intensive therapy, are offered participation in a tumour genetic screening protocol (MUKnine a), with primary endpoint proportion of patients with molecular screening performed within 8 weeks. Patients identified as molecularly HR are invited into the phase II, single-arm, multicentre trial (MUKnine b) investigating an intensive treatment schedule comprising bortezomib, lenalidomide, daratumumab, low-dose cyclophosphamide and dexamethasone, with single high-dose melphalan and autologous stem cell transplantation (ASCT) followed by combination consolidation and maintenance therapy. MUKnine b primary endpoints are minimal residual disease (MRD) at day 100 post-ASCT and progression-free survival. Secondary endpoints include response, safety and quality of life. The trial uses a Bayesian decision rule to determine if this treatment strategy is sufficiently active for further study. Patients identified as not having HR disease receive standard treatment and are followed up in a cohort study. Exploratory studies include longitudinal whole-body diffusion-weighted MRI for imaging MRD testing.Ethics and disseminationEthics approval London South East Research Ethics Committee (Ref: 17/LO/0022, 17/LO/0023). Results of studies will be submitted for publication in a peer-reviewed journal.Trial registration numberISRCTN16847817, May 2017; Pre-results.

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