ALBERT

Description: Background: Monoclonal immunoglobulin deposition disease (MIDD) is a rare complication of plasma cell dyscrasias in which deposition of immunoglobulin light and/or heavy chains results in organ dysfunction, most commonly affecting the kidneys. MIDD can present with new onset hypertension, hematuria, renal insufficiency and proteinuria. The rarity of MIDD contributes to the uncertainty regarding optimal therapy (typically targeting the clonal plasma cells), and the relationship between hematologic response and renal outcome. We report here the experience at Memorial Sloan Kettering Cancer Center and New York Presbyterian Hospital/Weill Cornell Medical Center. Methods: An electronic query of pathology records was performed to identify patients with a biopsy-proven diagnosis of MIDD. Patients were eligible for inclusion in this analysis if they had received treatment and had been subsequently followed at either institution. A retrospective review of clinical records extracted patients' baseline characteristics and treatment history. Hematologic responses were assessed according to International Myeloma Working Group uniform response criteria (Kumar, S. et al 2016 Lancet Oncol 17(8): e328-346) and renal organ responses were evaluated based on changes in serum creatinine (SCr), and proteinuria, a modification of criteria previously reported (Kourelis, T. V., et al 2016, Am J Hematol 91(11): 1123-1128.; Nasr, S.H. et al. 2009, J Am Soc Nephrol 20(9): 2055-2064. The primary objective was to determine the rate of hematologic response after initial therapy. Secondary objectives included: (i) Estimation of renal response rate; (ii) Identification of risk factors associated with renal response using the Wilcoxon Rank Sum and Fisher's Exact Tests. Results: Among 54 patients identified who were diagnosed and started treatment between 1/1999 and 1/2016, 29 met criteria for inclusion. Baseline characteristics at diagnosis included: Median age of 50 (range, 32-79); 17 (59%) were male; 22 (75%) had hypertension. Renal parameters at diagnosis: median SCr of 2.4 mg/dl (range, 0.4-19), median CrCl 23 ml/min (range, 4-131), median proteinuria 2383.7mg/24h (range 4.7-13,000), nephrotic-range proteinuria syndrome in 13 (45%), hematuria in 4/25 pts (16%; 4 unknown), 7 were on hemodialysis (HD) prior to initiation of therapy, and 26 (90%) patients had monoclonal kappa light chain deposits. Hematologic parameters included median free light chain ratio of 67.9 (2.8-1179.0), detectable M-spike in 11 pts with a mean level of 0.6 g/dL and median bone marrow plasmacytosis of 20% (range, 0-90%). Induction treatment regimens included bortezomib in 18 (62%), lenalidomide in 6 (21%), cyclophosphamide in 8 (28%), and 21 (73%) underwent autologous stem cell transplant (ASCT) during the course of their treatment. Outcomes are shown in Table 1. Hematologic response among the 29 pts at completion of first line therapy included an overall response rate (ORR) of 93% with sCR (N=14, 48%); CR (N=5, 17%), VGPR (N=6, 20%), PR (N=2, 6.9%), Not available (N=2, 7%). Renal response (Table 1) among 29 patients included CR (N=9, 31%), PR (N=14, 48%) and End Stage Renal Disease (ESRD) (N=6, 21%). Among 7 patients on HD at baseline, 3 remained on HD despite treatment, while 4 stopped HD after treatment, 2 as a result of the treatment and 2 after renal transplant. 3 patients progressed to ESRD and required HD during treatment. Baseline beta-2 microglobulin (B2M), SCr, and eGFR at diagnosis were factors associated with renal response (p

Description: Background: Multiple myeloma (MM) patients who achieve minimal residual disease (MRD) negative status after upfront treatment have prolonged progression-free and overall survival compared with those who remain MRD(+) (Landgren CO, Devlin SM et al. Bone Marrow Transplant. 2016;51(12):1565-8). Commensal intestinal microbial composition has been associated with treatment outcomes in cancer patients. We sought to evaluate whether the composition of the intestinal microbiota is associated with MRD status in patients with MM. Methods: Stool samples were collected prospectively from 34 patients after completion of upfront therapy for MM at the time of MRD testing. MRD was assessed with next-generation flow cytometry of bone marrow aspirates (sensitivity 10-5). Microbial analysis was performed via sequencing of 16S rRNA V4-V5 regions using the Illumina MiSeq platform and sequence data was analyzed using UPARSE (Edgar RC, Nature Methods 2013;10(10):996-8). The linear discriminant effect size method (LEfSe) (Segata N et al. Genome Biol. 2011;12(6):R60.) was used to compare detected clades among all groups and evaluate for associations with outcomes, using MRD as class and autologous stem cell transplant (ASCT) as subclass. Alpha diversity was calculated by the Inverse Simpson index and differential relative abundance were calculated using the phyloseq package and compared using the Wilcoxon rank sum test on the R statistical computing platform. Results: Among 34 patients evaluable for microbiota composition and MRD status, the median age was 62.5 years and 16 (47.1%) were MRD(-) at time of stool collection. 24 (70.6%) were treated with carfilzomib, lenalidomide, and dexamethasone as induction therapy (MRD(-): 14 (87.5%), MRD(+):10 (55.5%). 4 (28.5%) MRD(-) patients had autologous stem cell transplant(ASCT), compared with 10 (55.5%) who were MRD(+). In the cohort's samples, we observed 19 phyla, 315 genera, 654 species, and 1549 operational taxonomic units (OTUs). There was no significant difference in alpha diversity between MRD(-) (median 12.24, IQR = 8.76-13.98) and MRD(+) patients (median 12.44, IQR = 8.36 -16.23), p=0.6 by Wilcoxon rank sum test. A positive association with MRD negativity was noted with two butyrate-producing organisms, Eubacterium hallii (p=0.001) and Faecalibacterium prausnitzii (p= 0.006). To further evaluate these relationships, we performed a differential abundance analysis of these selected taxa in MRD(+) and MRD(-) patients at the genus and species level. The relative abundance of the genera Eubacterium and Faecalibacterium were higher in fecal samples from MRD(-) patients than MRD(+) patients (Eubacterium MRD(-): median 4.51% (IQR = 2.83 - 7.32%) vs. MRD(+): median 3.07% (IQR = 1.35 - 3.87%), p=0.0326; Faecalibacterium MRD(-): median 1.68% (IQR = 0.69 - 7.48%) vs. MRD(+): median 0.003% (IQR = 0 - 3.19%), p=0.022. The relative abundance of both species of interest were higher in MRD(-) patients than in MRD(+) patients: E. hallii MRD(-): median 2.67% (IQR = 2.11 - 3.98%) vs. MRD(+): median 1.01% (IQR = 0 - 2.16%), p=0.001; F. prausnitzii MRD(-): median 1.43% (IQR = 0.53 - 7.28%) vs. MRD(+): median 0.3%, (IQR = 0 - 2.54%), p=0.022. Other species of Eubacterium and Faecalibacterium were not significantly differentially abundant between the two groups. Conclusions: Intestinal microbiota containing several butyrate-producing anaerobes appear to be associated with MRD-negativity in patients with myeloma, with higher relative abundance of Eubacterium hallii and Faecalibacterium prausnitzii in MRD(-) patients compared with MRD(+) patients. Butyrate and other short-chain fatty acids are biologically active metabolites formed during microbial fermentation of dietary or host-derived carbohydrates, which supply the host with energy and also modulate immunity, including exerting anti-inflammatory functions. Microbes of the genus Eubacterium have been associated with reduced risk of relapse in several hematologic cancers after allogeneic hematopoietic cell transplantation, including MM (Peled JU, Devlin SM et al. J Clin Oncol 2017;35(15):1650-9). This is first study to our knowledge to suggest an association between gut microbiota and MRD status in patients with myeloma and supports further investigation of a potential role for intestinal microbiota in the natural history and treatment of myeloma. Disclosures Peled: Seres Therapeutics: Research Funding. Landgren:Karyopharm: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Lesokhin:Squibb: Consultancy, Honoraria; Genentech: Research Funding; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Serametrix, inc.: Patents & Royalties: Royalties; Takeda: Consultancy, Honoraria; Janssen: Research Funding.

Description: Background: Minimal Residual Disease (MRD) was clearly demonstrated as a prognostic marker for prognosis in multiple myeloma and has been integrated into IMWG clinical guidelines as one of the response criteria. There is however no consensus yet when and how to use MRD data in clinical practice throughout treatment course. Daratumumab was approved by FDA in different settings after it had been shown as a highly effective agent with a reasonable safety profile in myeloma treatment. It also showed impressive data to achieve MRD negativity. We plan to use the combination of daratumumab, lenalidomide, and dexamethasone upfront, with the addition of Velcade for consolidation if needed, in newly diagnosed multiple myeloma (NDMM) patients. We propose to use an MRD driven adaptive strategy for decision making in myeloma treatment and use daratumumab-based frontline therapy. Trial Design and Methods: We designed this prospective, single-arm, multi-center, phase 2 trial. The primary objective is to determine the rate of MRD negativity after daratumumab-based induction and consolidation therapy if necessary in both transplant eligible and ineligible NDMM patients. The secondary objective is to describe the overall survival, progression free survival, MRD conversion rate after consolidation, quality of life for patients, safety and tolerability of daratumumab-based combination regimens in both transplant eligible and ineligible patient populations, estimation of a successful stem cell mobilization after receiving daratumumab-based induction therapy. The primary endpoint will be MRD-negativity after six cycles of induction, followed by three cycles of consolidation therapy if MRD is positive after induction. We will seek to establish evidence that the true proportion of patients who can achieve MRD negativity after induction + consolidation (if still MRD+ after induction) is high, which we define as any response rate that is at least 23%. Patients with NDMM meeting IMWG diagnostic criteria are eligible for this trial, regardless of transplant candidacy. Patient will have stem cell collection after induction therapy. We will follow the patients' treatment response using IMWG response criteria including MRD status through induction, consolidation, transplant (if applied) and maintenance. Patient will come off the study if disease progression per IMWG response criteria. We plan for MRD testing by next generation sequencing and flow cytometry. This study will enroll 50 eligible patients. A two-stage design will be conducted, with an interim futility analysis after the primary endpoint is available on the first 20 enrolled patients. We will proceed to a final analysis with all 50 patients if at least 2/20 (10%) of patients achieve MRD negativity after consolidation. This trial is anticipated to be open at four academic centers. Conclusion: This multicenter phase 2 trial will apply a novel clinical trial design with an adaptive strategy to treat newly diagnosed myeloma patients based on MRD results. Therapeutic advance with Daratumumab-based combination regimen as frontline therapy may help myeloma patients to achieve higher rate of MRD negativity. Figure Disclosures Ye: AbbVie: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Onyx: Research Funding; Sanofi: Research Funding; Karyopharm: Research Funding; Janssen: Research Funding; MingSight: Research Funding; Portola Pharmaceuticals: Research Funding. Anderson:Amgen, Janssen, Takeda, Celgene: Consultancy, Speakers Bureau. Lipe:amgen: Research Funding; amgen: Consultancy; Celgene: Consultancy. Talpaz:Samus Therapeutics: Research Funding; Imago BioSciences: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; CTI BioPharma: Research Funding; Constellation: Research Funding; Incyte: Research Funding; Novartis: Research Funding.