Kumar, Shaji

Introduction: Primary cold agglutinin disease (CAD) is a rare disorder and accounts for 15% of all autoimmune hemolytic anemia. It is associated with an underlying monoclonal protein, which is IgM kappa in the majority of patients. The IgM protein triggers complement mediated extravascular hemolysis. The underlying pathophysiology by which autoimmune hemolysis affects only a small subset of patients with IgM monoclonal protein is poorly understood. Changes in the IgM structure via post-translational modifications of light chains (LCs), such as glycosylation are enriched in patients with AL amyloidosis, another rare disorder where disease manifestations are driven by the protein structure. (Kumar S et al Leukemia 2017). We hypothesized that presence of post-translational glycosylation is a potential mechanism allowing the IgM protein to trigger complement mediated hemolysis in CAD. Methods: Serum samples of patients being evaluated for monoclonal protein disorders were analyzed by immuno-enrichment-based matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS), termed MASS-FIX. Patients who had an underlying IgM monoclonal protein identified by MASS-FIX from 07/23/2018 to 5/14/2019 were included this study. Glycosylated LCs were identified by the shift in their molecular mass due to the added molecular mass of the carbohydrates. Glycosylation was compared in patients with IgM associated CAD vs. other IgM disorders. Results: 438 unique patients with an IgM monoclonal protein identified on MASS-FIX were included in the study. CAD was present in 3% (n=14) of patients. The primary underlying diagnosis in the remaining patients was monoclonal gammopathy of undetermined significance (MGUS): 47% (n=206), lymphoplasmacytic lymphoma (LPL)/Waldenstrom Macroglobulinemia (WM): 30% (n=132), non-LPL lymphoma: 6% (n=28), AL amyloidosis: 4% (n=19), CLL: 4% (n=18), cryoglobulinemia: 2% (n=10), multiple myeloma: 2% (n=9) and other: 0.5% (n=2) Glycosylation was present in 7% (31/438) of patients in this cohort. Glycosylation was significantly more prevalent in patients with CAD than other IgM gammopathies (64% vs. 5%, p <0.001). CAD was present in 29% of patients with glycosylation and in only 1% of patients without glycosylation, p<0.001. Disease characteristics of patients with CAD, including patients with and without glycosylated LCs are listed in Table 1. No statistically significant differences were observed in the features of CAD patients with and without glycosylation, though sample size was small. All patients (100%) had IgM kappa monoclonal protein. Median M-spike was 0.5 g/dL. The associated disorder was IgM MGUS in 50% of patients, LPL/WM in 29%, marginal zone lymphoma in 14% and a non-specific B-cell lymphoproliferative disorder in 7% of patients. Median hemoglobin was 11.2 g/dL. All patients had characteristic RBC agglutination on peripheral smear. Elevated LDH and undetectable haptoglobin were seen in 100% of patients. Cold agglutinin titer was positive (>1:64) in 12 of 13 patients (85%) in whom it was tested. The remaining patient had a titer of 1:8. Polyspecific Coombs test/direct antiglobin test (DAT) was positive in 100% of patients (n=12 tested) and all patients who were tested with monospecific DAT had an antiC3 antibody (n=10). One patient also had monospecific anti IgG antibody. Transfusions were needed in 21% of patients. Other clinical manifestations included acrocyanosis in 43% (n=6) and Raynaud's phenomenon in 50% (n=7) of patients, respectively. Treatment for CAD included rituximab with or without steroids in 50% (n=7) of patients, rituximab-based chemotherapy in 29% (n=4) of patients, with observation alone in 21% (n=3) of patients. Conclusions: Modification of the IgM immunoglobulin structure by post-translational glycosylation of LCs was significantly more common in patients with CAD compared with other IgM monoclonal gammopathies (64% vs. 5%, p <0.001). CAD was seen in only 1% of patients without glycosylation, while one-third of patients with glycosylation had CAD. This is a novel finding. As MASS FIX is now routinely done for detection of monoclonal proteins at our institution, the presence of LC glycosylation can provide diagnostic clues and can be a potential therapeutic target in the future. Future studies in larger, independent cohorts of patients are needed to confirm these findings. *SS & DLM contributed equally Disclosures Murray: The Binding Site: Patents & Royalties: US Patent Rights on Mass Spectroscopy Licensing agreement with The Binding Site, Research Funding. Dasari:The Binding Site: Patents & Royalties: US Patent Rights on Mass Spectroscopy Licensing agreement with The Binding Site, Research Funding. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding. Dispenzieri:Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Alnylam: Research Funding; Intellia: Consultancy; Akcea: Consultancy. Gertz:Spectrum: Honoraria, Research Funding; Janssen: Honoraria; Celgene: Honoraria; Prothena: Honoraria; Ionis: Honoraria; Alnylam: Honoraria.

Introduction: Abnormal metaphase cytogenetics are associated with inferior survival in newly diagnosed multiple myeloma (MM). These abnormalities are only detected in one third of cases due to the low proliferative rate of plasma cells. It is unknown if metaphase cytogenetics improve risk stratification when using contemporary prognostic models such as the revised international staging system (R-ISS), which incorporates interphase fluorescence in situ hybridization (FISH). Aims: The aims of this study were to 1) characterize the association between abnormalities on metaphase cytogenetics and overall survival (OS) in newly diagnosed MM treated with novel agents and 2) evaluate whether the addition of metaphase cytogenetics to R-ISS, age, and plasma cell labeling index (PCLI) improves model discrimination with respect to OS. Methods: We analyzed a retrospective cohort of 483 newly diagnosed MM patients treated with proteasome inhibitors (PI) and/or immunomodulators (IMID) who had metaphase cytogenetics performed prior to initiation of therapy. Abnormal metaphase cytogenetics were defined as MM specific abnormalities, while normal metaphase cytogenetics included constitutional cytogenetic variants, age-related Y chromosome loss, and normal metaphase karyotypes. Multivariable adjusted proportional hazards regression models were fit for the association between known prognostic factors and OS. Covariates associated with inferior OS on multivariable analysis included R-ISS stage, age ≥ 70, PCLI ≥ 2, and abnormal metaphase cytogenetics. We devised a risk scoring system weighted by their respective hazard ratios (R-ISS II +1, R-ISS III + 2, age ≥ 70 +2, PCLI ≥ 2 +1, metaphase cytogenetic abnormalities + 1). Low (LR), intermediate (IR), and high risk (HR) groups were established based on risk scores of 0-1, 2-3, and 4-5 in modeling without metaphase cytogenetics, and scores of 0-1, 2-3, and 4-6 in modeling incorporating metaphase cytogenetics, respectively. Survival estimates were calculated using the Kaplan-Meier method. Survival analysis was stratified by LR, IR, and HR groups in models 1) excluding metaphase cytogenetics 2) including metaphase cytogenetics and 3) including metaphase cytogenetics, with IR stratified by presence and absence of metaphase cytogenetic abnormalities. Survival estimates were compared between groups using the log-rank test. Harrell's C was used to compare the predictive power of risk modeling with and without metaphase cytogenetics. Results: Median age at diagnosis was 66 (31-95), 281 patients (58%) were men, median follow up was 5.5 years (0.04-14.4), and median OS was 6.4 years (95% CI 5.7-6.8). Ninety-seven patients (20%) were R-ISS stage I, 318 (66%) stage II, and 68 (14%) stage III. One-hundred and fourteen patients (24%) had high-risk abnormalities by FISH, and 115 (24%) had abnormal metaphase cytogenetics. Three-hundred and thirteen patients (65%) received an IMID, 119 (25%) a PI, 51 (10%) received IMID and PI, and 137 (28%) underwent upfront autologous hematopoietic stem cell transplantation (ASCT). On multivariable analysis, R-ISS (HR 1.59, 95% CI 1.29-1.97, p < 0.001), age ≥ 70 (HR 2.32, 95% CI 1.83-2.93, p < 0.001), PCLI ≥ 2, (HR 1.52, 95% CI 1.16-2.00, p=0.002) and abnormalities on metaphase cytogenetics (HR 1.35, 95% CI 1.05-1.75, p=0.019) were associated with inferior OS. IR and HR groups experienced significantly worse survival compared to LR groups in models excluding (Figure 1A) and including (Figure 1B) the effect of metaphase cytogenetics (p < 0.001 for all comparisons). However, the inclusion of metaphase cytogenetics did not improve discrimination. Likewise, subgroup analysis of IR patients by the presence or absence of metaphase cytogenetic abnormalities did not improve risk stratification (Figure 1C) (p < 0.001). The addition of metaphase cytogenetics to risk modeling with R-ISS stage, age ≥ 70, and PCLI ≥ 2 did not improve prognostic performance when evaluated by Harrell's C (c=0.636 without cytogenetics, c=0.642 with cytogenetics, absolute difference 0.005, 95% CI 0.002-0.012, p=0.142). Conclusions: Abnormalities on metaphase cytogenetics at diagnosis are associated with inferior OS in MM when accounting for the effects of R-ISS, age, and PCLI. However, the addition of metaphase cytogenetics to prognostic modeling incorporating these covariates did not significantly improve risk stratification. Disclosures Lacy: Celgene: Research Funding. Dispenzieri:Akcea: Consultancy; Intellia: Consultancy; Alnylam: Research Funding; Celgene: Research Funding; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding. Kapoor:Celgene: Honoraria; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; Cellectar: Consultancy; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Glaxo Smith Kline: Research Funding. Leung:Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.

Introduction Minimal residual disease (MRD) status at day 100 following autologous stem-cell transplant (ASCT) in multiple myeloma (MM) patients is an important determinant of prognosis. Bone marrow (BM) based assays, i.e. next-generation flow cytometry (NGF) or next-generation sequencing (NGS) that are currently used in determining MRD are vulnerable to sampling biases due to patchy marrow involvement and extramedullary disease. BM examination alone may lead to false-negative results. MRD assessment through newer, more sensitive peripheral blood based methodologies such as mass spectrometry (MS) can potentially overcome the limitations associated with BM based assays. At our institution, traditional immunofixation electrophoresis (IFE) has been replaced by a MS method termed Mass-Fix which utilizes the unique light chain mass associated with each patient's monoclonal protein to monitor disease over time. In this study, we assessed the prognostic impact of serum Mass-Fix MRD status in MM patients who were MRD negative by NGF around day 100 post-ASCT. Methods Patients with MM who underwent ASCT between 01/01/2015 and 12/31/2018 at Mayo Clinic, Rochester were included in this study provided they had attained post ASCT day 100 complete response (CR) by IMWG 2016 criteria and MRD- state as assessed by BM based NGF, utilizing 2 eight-color tubes (total 10 colors), with a minimum sensitivity 10-5. Presence of non-secretory MM and unavailability of pre-ASCT serum samples or serum IFE results were important exclusion criteria. Peripheral blood samples drawn concurrently with the BM assessment were evaluated by Mass-Fix as described previously (Mills et al., Clin. Chem, 2016). The isotype and mass of the M-protein light chain (LC) obtained by Mass-Fix were compared to the pre-ASCT M-protein LC and/or IFE isotype. Patients with the following genetic alterations: deletion 17p, translocation (4;14), (14;16), t(14;20) and1q gain/amplification and were considered high risk. All time-to event analyses were performed on JMP 14.1.0 from the time of ASCT using the Kaplan-Meier method. Results Sixty-two patients with MM (57 newly diagnosed and 5 relapsed/refractory) who underwent ASCT and were MRD- by BM based NGF around day 100 (range: day 60-120) were included in the study. Median age at ASCT was 61 (range: 40-76) years and 61% were males. Thirty (48%) patients had IgG MM, 15 (25%) patients had IgA MM and 17 (27%) patients had light chain only disease. Forty-one (66%) patients received bortezomib, lenalidomide and dexamethasone (VRD) as induction regimen. Median time from diagnosis to ASCT was 6 months (IQ range: 4.7-7.2). Pre-ASCT fluorescence in- situ hybridization data were available on 47 (76%) patients; 23 (49%) were high risk. Of 62 patients, all of whom were day 100 MRD- by NGF, 36 (58%) patients had Mass-Fix identified MRD (MRD+). MRD positivity by Mass-Fix around day 100 was observed in 70% of patients with high risk MM versus 71% of patients with standard risk MM, p=0.9. The median follow-up was 18 months (95%CI: 14-21); 19 months (95%CI: 15-21) for patients who were MRD+ by Mass-Fix versus 17 months (95%CI: 12-21) for those who were MRD- by Mass-Fix at day ~100, p=0.5. Of 57 (92%) patients who received post ASCT maintenance therapy, 32 (89%) were MRD+ and 25 (96%) were MRD- by Mass-Fix, p=0.5. Eighty-seven percent of patients with IgG MM had MRD+ status by Mass-Fix at day~100. By contrast, only 33% and 30% of patients with IgA MM and light chain MM, respectively, had MRD+ status at day 100; p<0.0001. This suggests that IgG half-life which is longer than that of IgA or free light chains may affect the day 100 MRD status. At 18 months, 76% and 93% of patients, who were MRD+ and MRD- , respectively by Mass-Fix were alive and free from disease progression, p=0.03 (Table 1, Figure 1a). At 18 months after ASCT, none of the patients who were MRD- by Mass-Fix required salvage treatment following ASCT while 25% of patients who were MRD+ by Mass-Fix required next line of therapy due to disease progression, p=0.05 (Table 1, Figure1b). Conclusion Our data suggest that outcomes [progression free survival (PFS) and time-to-next therapy (TTNT)] of patients with MM who are in CR, and have achieved MRD- state by BM NGF post ASCT, can be adversely impacted if there is concurrent evidence of serum monoclonal protein by Mass-Fix, thereby demonstrating incremental prognostic value of this sensitive assay in clinical practice. Disclosures Murray: The Binding Site: Patents & Royalties: US Patent Rights on Mass Spectroscopy Licensing agreement with The Binding Site, Research Funding. Dispenzieri:Akcea: Consultancy; Intellia: Consultancy; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Alnylam: Research Funding. Dasari:The Binding Site: Patents & Royalties: US Patent Rights on Mass Spectroscopy Licensing agreement with The Binding Site, Research Funding. Gertz:Teva: Speakers Bureau; Alnylam: Consultancy; Prothena Biosciences Inc: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Annexon: Consultancy; Appellis: Consultancy; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Celgene: Consultancy; Research to Practice: Consultancy; Abbvie: Other: personal fees for Data Safety Monitoring board; Physicians Education Resource: Consultancy; Medscape: Consultancy, Speakers Bureau; Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; International Waldenstrom Foundation: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy; Ionis/Akcea: Consultancy; Proclara: Membership on an entity's Board of Directors or advisory committees; i3Health: Other: Development of educational programs and materials. Dingli:Karyopharm: Research Funding; Millenium: Consultancy; Rigel: Consultancy; Janssen: Consultancy; alexion: Consultancy. Lacy:Celgene: Research Funding. Leung:Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees; Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding. Kapoor:Takeda: Honoraria, Research Funding; Janssen: Research Funding; Celgene: Honoraria; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Glaxo Smith Kline: Research Funding; Cellectar: Consultancy.

Background Genome-wide association studies (GWAS) conducted in populations of European ancestry (EA) have identified and confirmed 23 germline susceptibility loci for multiple myeloma (MM). The effect sizes of single nucleotide polymorphisms (SNPs) at these loci are small, therefore combining them into a single summary measure, known as a polygenic risk score (PRS), may provide a more meaningful risk factor. We have previously shown a PRS comprised of the 23 SNPs for MM contributes to increased risk of MM, with a 2.7-fold increase for highest vs. lowest PRS quintiles. Whether the MM-PRS is also associated with overall survival (OS) in MM cases has not been evaluated. We examined the association between MM-PRS and OS in two EA studies. Methods The first study consisted of 2,179 EA MM cases from ten studies included in the Multiple Myeloma Working Group within the International Lymphoma Consortium (InterLymph). Cases were diagnosed between 1970 and 2015 and genotyped using multiple platforms (Oncoarray, Affymetrix, Human660W-quad Beadchip, and Illumina arrays); 885 cases also had stage [based on International Staging System (ISS)] available. Each of the GWAS was subjected to rigorous standard quality control independently (prior to imputation via the Michigan imputation server based on the Haplotype Reference Consortium (HRC). The second study consisted of 515 newly diagnosed EA MM cases from CoMMpass (Relating Clinical Outcomes in Multiple Myeloma to Personal Assessment of Genetic Profile), diagnosed from 2011-2013, who had whole genome sequencing (WGS) performed on germline DNA. The WGS data was used to call common germline genetic variants through the Mayo Clinic bioinformatics pipeline. Briefly, genetic variants were detected with GenomeGPS, aligned to the hg19 reference genome, called using the GATK (V3.6) Haplotype Caller, and merged for multiple-sample joint calling. To reduce the false positive variants, variant quality score recalibration (VQSR) was applied for both SNPs and INDELs. After quality control, 458 EA samples remained. Follow-up was available for both studies and consisted of time from MM diagnosis date until death or date of last known follow-up. The PRS was constructed from the 23 MM SNPs using the published per allele odds ratio associated with MM risk. The published log odds ratios for each SNP were multiplied by the number of risk alleles (0, 1, 2) for the corresponding SNP, and summed, resulting in a unique score per person. Kaplan-Meier curves and Cox proportional hazard models were used to assess the association between PRS with MM OS considering two models: 1) adjusted for age, sex, study and 2) additional adjustment by stage (ISS). Hazard ratios (OR) and 95% confidence intervals (CI) were estimated. The PRS was evaluated both as a continuous variable, per standard deviation (SD), and as a categorical variable (quintiles). Results MM cases (N=2,179) in the InterLymph study were 59% male and 41% female and the median age was 61.0 years (26-90 years). Median follow-up time was 57.2 months (1.0-509.0 months) with 868 reported deaths. MM cases with stage information available consisted of 20% stage I (n=178), 53% stage II (n=466), and 27% stage III (n=241). No association was observed between PRS and OS in MM patients regardless of adjustment for stage (continuous PRS (HR: 1.03, 95% CI: 0.83-1.28, P=0.80) or by quintile PRS (p>0.05)) (Table). The CoMMpass EA MM cases (n=458) had similar distributions for sex (61% male and 39% females) but were slightly older 65 years (27-93 years) and had shorter follow-up time (median=39.75 months (0.13-77.2)) with 117 deaths. Stage was available for 96% of CoMMpass cases including 36% stage I (n=159), 33% stage II (n=146), and 31% stage III (n=134). We also observed no association of PRS and OS in the CoMMpass study (HR=1.02, 95% CI: 0.72 -1.46, P= 0.89), adjusted for age, sex, and stage (Table). Discussion A PRS score for MM risk is not associated with OS for MM cases in two EA populations. Given that prior studies have shown association of genetic variation with MM survival, efforts to identify additional loci associated with OS or MM specific survival are warranted. Future studies should also consider germline variants impact on molecular subtypes, specific therapies, and outcomes. Disclosures Kumar: Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.

Background: The overall participation of cancer patients in interventional clinical trials in the United States remains very low, with ~5% of patients being enrolled in clinical trials nationwide. The outcomes of patients with MM have improved significantly over the past decade, but available data suggest that the participation rates for patients with MM is comparable to other cancers. The drivers of participation and the potential impact of clinical trial participation have not been systematically studied in MM. Patients and Methods: We identified 228 patients who were enrolled into clinical trials for initial therapy of newly diagnosed MM between 2004 and 2018, and 4 controls for each of these patients. Controls were patients with NDMM, who were diagnosed closest in time to the index patients and did not participate in an interventional treatment trial. Various baseline characteristics as well as overall survival were compared between the two groups. Results: The baseline characteristics of the two groups are as shown in the Table. Patients who entered clinical trials were more likely to be female, resided closer to the clinic, and were more likely to have a prior history of MGUS. They were more likely to have higher ISS Stage, and a higher serum LDH, but there was no difference in the FISH risk status. Other indices of disease burden such as lower hemoglobin and platelets, higher serum creatinine were all seen more often in the control group, but may have been influenced by the trial entry criteria. Looking at the outcomes, the overall survival was longer among those enrolled into clinical trials compared to those who did not [median 103 (95% CI; 86, 136) vs. 63 (95% CI; 53, 69) months, p<0.001 (Figure). Conclusions: The current study provides important clues regarding demographic determinants of trial participation and disease biology related features that reflect likelihood of trial participation. Overall survival was significantly longer among the trial participants, which likely represent a mix of reasons including baseline status of patients, intensity of monitoring and efficacy of novel treatment approaches. Table Disclosures Kapoor: Janssen: Research Funding; Celgene: Honoraria; Cellectar: Consultancy; Sanofi: Consultancy, Research Funding; Amgen: Research Funding; Glaxo Smith Kline: Research Funding; Takeda: Honoraria, Research Funding. Dispenzieri:Alnylam: Research Funding; Janssen: Consultancy; Pfizer: Research Funding; Takeda: Research Funding; Celgene: Research Funding; Akcea: Consultancy; Intellia: Consultancy. Gertz:Ionis: Honoraria; Alnylam: Honoraria; Prothena: Honoraria; Celgene: Honoraria; Janssen: Honoraria; Spectrum: Honoraria, Research Funding. Lacy:Celgene: Research Funding. Dingli:Karyopharm: Research Funding; Rigel: Consultancy; alexion: Consultancy; Janssen: Consultancy; Millenium: Consultancy. Leung:Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees. Russell:Imanis: Equity Ownership. Kumar:Takeda: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding.

Introduction: There is a paucity of randomized trials to guide therapy for relapsed AL amyloidosis with treatment regimens generally extrapolated from experience in multiple myeloma. Methods: We conducted a retrospective review of patients who relapsed after receiving autologous stem cell transplant at Mayo Clinic. Patients treated for first relapse between January 2004 and December 2018 were included. Results: Three hundred and twenty-one patients were seen for relapsed AL amyloidosis post ASCT during the study period. Baseline characteristics were typical for a cohort with AL amyloidosis and are listed in Table1. 39% received therapy prior to transplant, conditioning in the majority (75%) was melphalan 200mg/m2. The median progression free survival from transplant (PFS1) was 30.7 months. Of the 321 patients 294 received treatment for relapsed disease. We categorized treatment regimens according to commonly used combinations and drug classes to further analyze outcomes. 34 patients were excluded from this analysis as they either proceeded directly to second ASCT (n=10) or received an atypical regimen not commonly considered for AL amyloidosis (n=24). Five categories of therapy regimens were identified, thalidomide based (n=110), melphalan plus steroids (n=31), 2nd generation immunomodulatory (IMiD) drug +/- alkylator (n=76), proteasome inhibitor (PI) +/- alkylator (n=116), PI plus IMiD (n=16), or daratumumab based (n=9). Disease and treatment characteristics for patients treated with these regimens are listed in Table 2. Patients treated with thalidomide had the shortest PFS1 (17.7 months) but PFS1 was similar for those treated with melphalan plus steroids, PI+IMiD and 2nd generation IMiDs (25.5, 24.3 and 25.6 months respectively). Patients treated with a PI +/- alkylator and daratumumab based regimen had the longest PFS1 (36.7 and 41.9 months respectively). The median duration of therapy was longer in patients treated with a 2nd generation IMiD or daratumumab based regimen (10.2, 12, 6.1, 5.5, 6.2 and 5.9 months for Dara based, 2nd generation IMiD, PI+/- alkylator, PI+IMiD, melphalan plus steroids and thalidomide based respectively). Hematologic response rate was lowest in those treated with melphalan plus steroids or thalidomide based regimens (44% and 55% respectively) and highest for patients treated with a PI+/- alkylator, (Figure 1). Progression free survival from relapsed therapy (PFS2) was longest amongst patients treated with daratumumab based regimens, PI +/- alkylator and 2nd generation IMiDs (not reached, 29.9 and 26.7 months respectively), Figure 2A. Overall survival from time of relapsed therapy favored patients treated with daratumumab based regimens, 2nd generation IMiDs and PI +/- alkylator, Figure 2b). Conclusion: A second generation IMiD based regimen or PI +/- alkylator produce high response rates and prolonged progression free and overall survival for relapsed AL amyloidosis. Patients treated with daratumumab based regimens and those treated with a PI plus IMiD also appear to do well, although numbers were low in our study. Patients treated with melphalan plus steroids or thalidomide based combinations have inferior outcomes and these regimens should be avoided. Disclosures Dispenzieri: Celgene: Research Funding; Takeda: Research Funding; Pfizer: Research Funding; Janssen: Consultancy; Intellia: Consultancy; Akcea: Consultancy; Alnylam: Research Funding. Lacy:Celgene: Research Funding. Dingli:Karyopharm: Research Funding; Rigel: Consultancy; Millenium: Consultancy; Janssen: Consultancy; alexion: Consultancy. Leung:Takeda: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Aduro: Membership on an entity's Board of Directors or advisory committees; Omeros: Research Funding. Kapoor:Glaxo Smith Kline: Research Funding; Sanofi: Consultancy, Research Funding; Celgene: Honoraria; Cellectar: Consultancy; Amgen: Research Funding; Takeda: Honoraria, Research Funding; Janssen: Research Funding. Kumar:Takeda: Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Gertz:Medscape: Consultancy, Speakers Bureau; Prothena Biosciences Inc: Consultancy; Ionis/Akcea: Consultancy; Alnylam: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Appellis: Consultancy; Amgen: Consultancy; Physicians Education Resource: Consultancy; Abbvie: Other: personal fees for Data Safety Monitoring board; Research to Practice: Consultancy; Teva: Speakers Bureau; Johnson and Johnson: Speakers Bureau; DAVA oncology: Speakers Bureau; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Proclara: Membership on an entity's Board of Directors or advisory committees; i3Health: Other: Development of educational programs and materials; Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; International Waldenstrom Foundation: Research Funding; Annexon: Consultancy. OffLabel Disclosure: Daratumumab off label use for AL amyloidosis.

Background: c-MYC activation is an early event of myeloma pathogenesis. It upregulates the expression of the glutaminase 1 (GLS1) enzyme which converts glutamine to glutamate in the mitochondria. Glutamate is required for the biosynthesis of various molecules in the tricarboxylic acid (TCA) cycle (i.e., glutamine anaplerosis). CB-839 HCl is a first-in-class, orally available, selective, noncompetitive inhibitor of GLS1. This inactivation of GLS1 results in an increase of glutamine and a decrease of glutamate and several TCA cycle intermediates within cancer cells, leading to a decrease in their proliferation and/or an increase in cell death. In the phase 1 study, CX-839-002, the safety and tolerability of CB-839 HCl was evaluated in patients with hematological tumors (multiple myeloma (MM) and non-Hodgkin's lymphoma), either as monotherapy or in combination with pomalidomide and dexamethasone or with dexamethasone alone. It was determined to be well tolerated and the maximal tolerated dose (MTD) was not reached. Proteasome inhibitors (PI) are the cornerstone agents in the treatment of myeloma. They disrupt normal protein homeostasis causing an induction of cellular proteotoxic stress, thus, making it an effective strategy against myeloma plasma cells, which naturally mass-produce large quantities of immunoglobulin proteins. PI-resistant MM cells are associated with changes in cellular bioenergetics that favor the increased use of mitochondrial respiration for energy production. Given the increased reliance of PI-resistant MM cells on mitochondrial respiration, and the critical role of glutamine for cellular respiration, inhibition of glutamine metabolism is a rational molecular strategy for the treatment of PI-resistant MM. Furthermore, pre-clinical studies demonstrate the in vitro and ex vivo synergism of CB-839 HCl with carfilzomib (CFZ) in terms of its cytotoxicity and anti-proliferation capacity in various primary human myeloma cell lines and primary patient myeloma cells respectively. As a result, this novel combination of glutaminase inhibition with proteasome inhibition appears promising as a therapeutic combination in MM and warrants further clinical investigation. Methods: This study is a phase 1, multicenter clinical trial of CB-839 HCl in combination with carfilzomib and dexamethasone for patients with relapsed and/or refractory myeloma. Part A of this trial is a 3+3 dose escalation design and Part B is a dose expansion cohort at the RP2D determined in Part A. Up to a maximum of 42 patients will be enrolled at participating ETCTN sites. CFZ will be administered in its usual weekly dosing schedule of days 1, 8 and 15 of a 28 day schedule along with dexamethasone on days 1, 8, 15 and 22. CB-839 will be started at a dose level of 400 mg twice daily and will be investigated to a maximum dose of 800 mg twice daily. Prior to day 1 of Cycle 1, we will administer a 7 day lead in of CB-839 monotherapy before combining it with CFZ. Key inclusion criteria are having relapsed/refractory myeloma with at least 2 prior lines of therapy and prior exposure to PIs, immunomodulators and Anti-CD38 monoclonal antibodies, having measurable disease, adequate hematologic reserve, kidney function and liver function. Key exclusion criteria are being refractory or intolerant to CFZ, adverse cardiac history, central nervous system disease and AL amyloidosis. The primary objective of this trial is to determine the MTD or recommended phase II dosing (RP2D) of CB-839 HCl in combination with carfilzomib and dexamethasone. The secondary objective is to evaluate the safety and tolerability as well as the overall response rate (ORR) associated of CB-839 HCl in combination with carfilzomib and dexamethasone. Correlative objectives will evaluate plasma pharmacokinetic profiles of CB-839 HCl and carfilzomib when used in combination. They will also evaluate potential predictive and prognostic biomarkers as well as resistance mechanisms using genomic DNA, RNA, flow cytometry, immunohistochemistry and metabolomics-based assessment platforms. Recruitment is ongoing and this trial is registered on clinicaltrials.gov: NCT03798678. Disclosures Baz: Bristol-Myers Squibb: Research Funding; Sanofi: Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Research Funding; Merck: Research Funding. Neparidze:Janssen Scientific Affairs, LLC: Research Funding; Eidos Therapeutics: Other: Member of Independent Diagnostic Committee; MMRF/Synteract: Membership on an entity's Board of Directors or advisory committees. Kumar:Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Takeda: Research Funding.

Introduction: Daratumumab is a human immunoglobulin (IgG-κ) that targets CD38 abundantly expressed on plasma cells. Data is emerging to show its efficacy as part of induction therapy for newly diagnosed multiple myeloma (MM) patients. Hematopoietic stem cells have been shown to express CD38 on the cell surface and therefore during mobilization, there is a theoretical risk of circulating daratumumab binding to and having downstream effects on these cells. Methods: We conducted a retrospective review of MM patients treated with daratumumab prior to stem cell collection and autologous stem cell transplant (ASCT) to identify any effects daratumumab therapy may have on the efficacy of the stem cells in bone marrow recovery. The study was conducted at Mayo Clinic Rochester from February 2018 to May 2019. Granulocyte colony-stimulating factor was the preferred agent used for stem cell mobilization and plerixafor was added in a demand-adapted fashion. All patients received melphalan infused at day -1 before their ASCT and the decision about dosing (200mg/m2 vs 140mg/m2) was at the physicians' discretion. Neutrophil engraftment was defined as the first date of three consecutive neutrophil counts >0.5 x 10^9/L and platelet engraftment was defined as the first date of three consecutive platelet counts >50 x 10^9/L in the absence of platelet transfusion in the preceding 7 days. Results: We identified 12 patients who received daratumumab as part of their first induction regimen (daratumumab cohort) and compared them to 129 patients who did not receive daratumumab prior to stem cell mobilization and transplant during the study period (no daratumumab cohort). Of the daratumumab cohort, 11 patients received daratumumab, ixazomib, lenalidomide, and dexamethasone and one received daratumumab, cyclophosphamide, bortezomib and dexamethasone. No differences were noted in terms of melphalan dose or the number of CD34+ stem cell infused. The median time from the last dose of daratumumab to stem cell collection was 3.9 weeks. In patients receiving daratumumab, the median time for neutrophil engraftment was three days longer compared with those who did not receive daratumumab (median of 19 days vs. 16 days, P=0.017) (Figure 1, A). Median platelet engraftment was delayed by one day, although this was not statistically significant (median of 18 days vs. 17 days, p=0.12) (Figure 1, B). A total of 6 patients (50%) from the daratumumab cohort and 52 (40%) from the no daratumumab cohort required hospital admission. Of these admissions, there was no difference between the two groups in rates of admission for fever (50% in the daratumumab group vs. 42% in the no daratumumab group, P=0.7). Conclusion: Our case series provides the first report of daratumumab delaying engraftment post transplant in myeloma patients receiving it prior to stem cell collection. A better characterization of this phenomenon is important given the increasing use of daratumumab as front line therapy prior to ASCT in patients with myeloma. Disclosures Gertz: Prothena: Honoraria; Celgene: Honoraria; Janssen: Honoraria; Spectrum: Honoraria, Research Funding; Alnylam: Honoraria; Ionis: Honoraria. Lacy:Celgene: Research Funding. Kapoor:Sanofi: Consultancy, Research Funding; Glaxo Smith Kline: Research Funding; Cellectar: Consultancy; Janssen: Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; Celgene: Honoraria. Dispenzieri:Alnylam: Research Funding; Celgene: Research Funding; Takeda: Research Funding; Pfizer: Research Funding; Janssen: Consultancy; Intellia: Consultancy; Akcea: Consultancy. Dingli:alexion: Consultancy; Janssen: Consultancy; Millenium: Consultancy; Rigel: Consultancy; Karyopharm: Research Funding. Kumar:Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding.

Introduction: Proteasome inhibitors (PI), immunomodulatory agents (IMiDs) and the CD38 monoclonal antibody daratumumab (dara) have transformed the management of MM, yet eventual refractoriness to these agents seems inevitable. Relapsed and refractory MM (RRMM) which becomes triple class refractory (TCR, i.e. refractory to a PI, an IMiD and Dara) uncommonly responds to further lines of therapy and survival is dismal. Selinexor is a selective inhibitor of nuclear export compound targeting exportin 1 (XPO1) which is overexpressed in MM cells and essential for their survival. In the STORM study, selinexor in combination with low-dose dexamethasone (Sd) demonstrated promising efficacy in TCR, penta-exposed (TCR-PE, i.e. exposed to lenalidomide, pomalidomide, bortezomib, carfilzomib and dara) MM. Establishing the natural history for outcomes in the TCR-PE population can help provide context to understand the outcomes observed with Sd in STORM. In the retrospective MAMMOTH study, we reported the outcomes of patients with RRMM after they became refractory to dara, including a subset of patients who were TCR. We further analyzed the MAMMOTH dataset to generate a cohort of patients similar to patients in STORM in order to compare conventional care vs. Sd. Methods: We included all patients in STORM who received Sd as the first line therapy after they achieved TCR-PE status (n=64). We extracted from the MAMMOTH dataset all patients who were not exposed to Sd in a subsequent line of therapy, became TCR-PE and who received subsequent MM-directed therapy (n=128). Overall response rate (ORR) was evaluated according to IMWG criteria. Overall survival (OS) was calculated from the time of initiation of next line of therapy after TCR-PE status until death or last follow-up. We compared OS in STORM vs. MAMMOTH utilizing cox-regression analysis with adjustment for covariables potentially influencing the outcome. Results: Baseline patient characteristics and prior therapies are per table. The two cohorts were similar in terms of age, number of prior lines of therapy and presence of high-risk cytogenetic abnormalities. STORM patients had longer time between MM diagnosis and post TCR-PE therapy with a higher proportion of refractoriness to carfilzomib. Patients in STORM had ORR to Sd of 32.8% vs 25.0% for patients receiving conventional care in MAMMOTH (P=0.078). In direct comparison, patients in STORM had better OS than patients in MAMMOTH (median 10.4 vs. 6.9 months) (P=0.043, figure). In multivariate analysis, STORM patients had lower risk of death in comparison with MAMMOTH patients (aHR=0.55, 95%C.I. 0.35-0.86, P=0.009). Refractoriness to carfilzomib (aHR=2.20, 95%C.I. 1.16-4.15, P=0.015) and high-risk cytogenetics (aHR-1.66, 95% C.I. 1.13-2.42, P=0.009) were also associated with inferior OS. Conclusion: Despite inherent limitations in comparison of trial enrollees vs. real world patients, this analysis suggests improved OS with Sd vs conventional care in patients with TCR-PE RRMM. Prognosis for these patients remains poor and underscores the need for therapeutic advancements. Disclosures Costa: Janssen: Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria, Speakers Bureau; GSK: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy; Karyopharm: Consultancy; Fujimoto Pharmaceutical Corporation Japan: Other: Advisor; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau. Hari:Kite: Consultancy, Honoraria; Amgen: Research Funding; Spectrum: Consultancy, Research Funding; Sanofi: Honoraria, Research Funding; Janssen: Consultancy, Honoraria; BMS: Consultancy, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Cell Vault: Equity Ownership; AbbVie: Consultancy, Honoraria. Kumar:Janssen: Consultancy, Research Funding; Takeda: Research Funding; Celgene: Consultancy, Research Funding. Tang:Karyopharm: Employment. Shah:Karyopharm Therapeutics Inc: Employment, Equity Ownership. Jagannath:BMS: Consultancy; Merck: Consultancy; Medicom: Speakers Bureau; Celgene: Consultancy; Novartis: Consultancy; Multiple Myeloma Research Foundation: Speakers Bureau. Chari:Oncoceutics: Research Funding; Novartis Pharmaceuticals: Research Funding; GlaxoSmithKline: Research Funding; Array Biopharma: Research Funding; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium/Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Consultancy; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding. Shacham:Karyopharm Therapeutics Inc: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Ma:Karyopharm: Employment, Equity Ownership. Siegel:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol-Myers Squibb Company: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Biran:Amgen: Consultancy, Honoraria, Research Funding; Merck: Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Bristol Meyers Squibb: Research Funding. Lonial:BMS: Consultancy; Genentech: Consultancy; GSK: Consultancy; Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Amgen: Consultancy; Celgene Corporation: Consultancy, Research Funding; Karyopharm: Consultancy. Richardson:Amgen: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Sanofi: 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, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Research Funding. Kauffman:Karyopharm Therapeutics Inc: Employment, Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Malek:Adaptive: Consultancy; Amgen: Speakers Bureau; Janssen: Speakers Bureau; Celgene: Consultancy; Takeda: Consultancy; Sanofi: Consultancy; Medpacto: Research Funding. Fiala:Incyte: Research Funding. Usmani:Amgen, Celgene, Janssen, Sanofi, Takeda: Speakers Bureau; Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, SkylineDX, Takeda: Other: Consultant/Advisor; Amgen Array Biopharma, Bristol-Myers Squibb, Celgene, Janssen, Merck, Pharmacyclics, Sanofi, Takeda: Other: Research Grant. Kang:Takeda Oncology: Consultancy; InCyte Corportation: Research Funding. Cornell:Takeda: Consultancy; KaryoPharm: Consultancy.

Introduction: Risk stratification of patients with light chain (AL) amyloidosis at diagnosis is invaluable. Currently, the Mayo 2012 staging system is mainly used to risk-stratify patients. We evaluated the role of increased mean corpuscular volume (MCV) at diagnosis in predicting survival. Methods: We conducted a retrospective study of patients with newly diagnosed AL amyloidosis seen at Mayo Clinic, Rochester between January 2006 through December 2015. The diagnosis of AL was confirmed with biopsy and the determination of organ involvement was according to consensus criteria. Staging was done according to the Mayo 2012 staging system and patients with stage III/IV were considered to have advanced stage disease. Patient and disease factors were compared for categorical and continuous variables using the χ2 and the Wilcoxon signed rank tests, respectively. Overall survival (OS) was defined as the time from diagnosis to death of any cause. Survival analysis was done using the Kaplan-Meier method. Results: A total of 1064 patients were identified and were divided into two groups: those with an MCV ≥ 96 fl (Elevated MCV, n=180) and those with an MCV <96 fl (Low MCV, n=884). The median age at diagnosis for the whole cohort was 64, with an interquartile range (IQR) of 57-71. Overall, 222 (23%) had Mayo 2012 stage 1, 199 (21%) had stage 2, 239 (25%) had stage 3, and 290 (31%) had stage 4 disease. Patients with an elevated MCV were more likely to be more than 65 years old compared to patients with a low MCV (61% vs. 44%, p<0.0001). They were also likely to have an advanced Mayo 2012 stage (68% vs. 53%, P=0.0008). The median OS was significantly lower in patients with an elevated MCV compared to patients with a low MCV (median PFS 13 months vs. 41 month, respectively, P<0.0001)(Figure 1). On a univariable analysis, predictors of OS were advanced Mayo 2012 stage (RR 3.26, P<0.001) and MCV ≥ 96 (RR 1.6, P<0.0001). On the multivariable analysis, both variables remained predictors of OS [advanced Mayo 2012 stage (RR 3.19, P<0.001) and MCV ≥ 96 (RR 1.3, P=0.016)]. Conclusion: The median OS was shorter by 28 months in newly diagnosed AL amyloidosis patients with an MCV ≥ 96 compared to patients with an MCV<96. An elevated MCV was predictive of shorter survival, independent of the Mayo Stage. This variable is easily available, measured in all newly diagnosed patients, and provides valuable prognostic information for the treating physician. Disclosures Dispenzieri: Intellia: Consultancy; Takeda: Research Funding; Pfizer: Research Funding; Janssen: Consultancy; Alnylam: Research Funding; Celgene: Research Funding; Akcea: Consultancy. Lacy:Celgene: Research Funding. Dingli:alexion: Consultancy; Janssen: Consultancy; Millenium: Consultancy; Rigel: Consultancy; Karyopharm: Research Funding. Leung:Takeda: Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; Omeros: Research Funding; Aduro: Membership on an entity's Board of Directors or advisory committees. Kapoor:Sanofi: Consultancy, Research Funding; Celgene: Honoraria; Cellectar: Consultancy; Janssen: Research Funding; Amgen: Research Funding; Takeda: Honoraria, Research Funding; Glaxo Smith Kline: Research Funding. Gertz:i3Health: Other: Development of educational programs and materials; Alnylam: Consultancy; Celgene: Consultancy; Appellis: Consultancy; Teva: Speakers Bureau; Spectrum: Consultancy, Research Funding; Annexon: Consultancy; Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; Amgen: Consultancy; Medscape: Consultancy, Speakers Bureau; Physicians Education Resource: Consultancy; Abbvie: Other: personal fees for Data Safety Monitoring board; Research to Practice: Consultancy; Ionis/Akcea: Consultancy; Prothena Biosciences Inc: Consultancy; Janssen: Consultancy; International Waldenstrom Foundation: Research Funding; Proclara: Membership on an entity's Board of Directors or advisory committees; Johnson and Johnson: Speakers Bureau; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; DAVA oncology: Speakers Bureau. Kumar:Takeda: Research Funding; Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.