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Background: Despite recently approved novel targeted therapies, most patients with high-risk acute myeloid leukemia (AML) still require allogeneic hematopoietic cell transplantation (HCT) to achieve long-term survival. However, older patients with relapsed/refractory (R/R) AML are often unable to undergo HCT due to the toxicity of myeloablative pre-conditioning. Since higher doses of chemotherapy and radiation are associated with prolonged myelosuppression or infectious complications, targeted radiotherapy with Iomab-B, employed in the SIERRA trial, was designed to minimize toxicities in a patient population unable to tolerate standard high-dose myeloablative HCT pre-conditioning. We hypothesize that Iomab-B, which spares non-hematologic organs such as the GI tract, exhibits a favorable toxicity profile with respect to mucositis, febrile neutropenia (FN), and sepsis. Methods: The SIERRA trial is a prospective trial for patients ≥55 years of age with R/R AML (≥5% blasts) and 8/8 HLA-matched related or unrelated donors. Patients were randomized (1:1) to Iomab-B or Conventional Care (CC). Those in the Iomab-B group received a dosimetric infusion of Iomab-B followed by nuclear imaging to determine the personalized therapeutic dose to be delivered to the bone marrow and to other sites of disease. Therapeutic dose calculations, utilizing the Olinda software (Version 2.1, Hermes Medical) to determine the delivery of a maximum of 24 Gray (Gy) dose to the liver, were performed based on the imaging results. HCT is performed 12-14 days following the infusion of a therapeutic dose of Iomab-B, and a non-myeloablative conditioning backbone of fludarabine (30 mg/m2 x 3) and low-dose Total Body Irradiation (TBI 2 Gy x 1 dose). CC patients received the investigator's choice of salvage therapy. Safety data was evaluated from randomization and up to 100 days after HCT in the patients randomized to the Iomab-B group. We specifically evaluated AE variables of mucositis (Gr 2-4), FN (Gr3,4) and sepsis. An analysis was performed with both total activity of Iomab-B as well as with the radiation dose delivered to the bone marrow, stomach wall, small and large intestinal walls. For each of the 3 AEs of interest, a multivariate analysis was performed, allowing each of the predictor variables to be included in the model. Results: A total of 106 patients were randomized at the time of analysis. For those randomized to Iomab-B, data is available for 45 patients that received a therapeutic dose of Iomab-B and HCT. The median dose of Iomab-B administered was 603 mCi (range 313-1027 mCi) and the median radiation dose delivered to the marrow in the Iomab-B group was 14.7 Gy (range 4.6 - 32 Gy). All patients (median age 64) treated with a therapeutic dose of Iomab-B achieved neutrophil engraftment after a median of 14 days post-HCT (range 9-22), despite presenting with a median 26% marrow blasts prior to initiation of therapy. Rates of mucositis, FN, and sepsis are shown in Table 1. No correlation between AEs (FN, mucositis, sepsis) and administered Iomab-B activity (p=0.08), nor with dose delivered to GI tract (p=0.09) was observed. Furthermore, these AEs were not related to the dose of radiation received by the small intestine (median 2.7 Gy range 1.1-6.8 Gy) large intestine (median 2.6 Gy range 0.9-6.5 Gy), nor an average of all 4 GI sites (median 2.8 Gy range 1.6-6.8 Gy). Conclusions: Unlike cases involving treatment with cytotoxic chemotherapy and external beam radiation where mucositis, infections and sepsis increase along with the administered dose, targeted myeloablative conditioning with Iomab-B resulted in low incidences of severe mucositis, FN, and sepsis. These AEs do not appear to be related to the total dose of Iomab-B administered nor to the specific radiation dose delivered to the bone marrow. Furthermore, a low dose of radiation (2.8 Gy) was received by the GI tract compared to the larger dose of radiation (14.7 Gy) delivered to the marrow. Taken together, these results represent potentially significant improvements in the safe delivery of myeloablative therapy with high-dose targeted radioimmunotherapy, prior to HCT in older patients with R/R AML. This SIERRA trial is currently enrolling patients (www.sierratrial.com or clinicaltrials.gov NCT02665065). Disclosures Gyurkocza: Actinium: Research Funding. Nath:Actinium: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Daiichi Sankyo: Consultancy, Honoraria. Stiff:Kite, a Gilead Company: Research Funding; Gamida Cell: Research Funding; Atara: Research Funding; Unum: Research Funding; Delta-Fly: Research Funding; Macrogenics: Research Funding; Amgen: Research Funding. Hari:Amgen: Consultancy; GSK: Consultancy; Janssen: Consultancy; BMS: Consultancy; Takeda: Consultancy; Incyte Corporation: Consultancy. Al-Kadhimi:Actinium Pharmaceuticals Inc.: Research Funding; Genzyme: Research Funding; Bluebird Bio: Current equity holder in publicly-traded company; Gilead Science: Current equity holder in publicly-traded company; Moderna: Current equity holder in publicly-traded company; Novavax: Current equity holder in publicly-traded company. Abboud:Ryvu: Research Funding; Actinium Pharmaceuticals Inc.: Research Funding; Pfizer: Research Funding; Johnson & Johnson: Current equity holder in publicly-traded company; BMS: Current equity holder in publicly-traded company; Abbott Labs: Current equity holder in publicly-traded company; AbbVie Inc: Current equity holder in publicly-traded company; AlloVir: Research Funding; Forty Seven Inc: Research Funding. Magalhaes-Silverman:Kadmon Holdings: Research Funding; Actinium Pharmaceuticals: Research Funding; Incyte: Research Funding. Foran:Xencor: Research Funding; Trillium: Research Funding; Takeda: Research Funding; Kura Oncology: Research Funding; Aptose: Research Funding; Aprea: Research Funding; Actinium: Research Funding; Boehringer Ingelheim: Research Funding; Abbvie: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Revolution Medicine: Consultancy; Agios: Honoraria, Research Funding; H3Biosciences: Research Funding. Schuster:Amgen, Abbvie, Gilead, Takeda, Celgene, Pharmacyclics, Astellas, Verastem, Merck, Novartis, Takeda, Genentech,, Seattle Genetics: Other: Personal Fees; Karyopharm: Membership on an entity's Board of Directors or advisory committees. Kebriaei:Pfizer: Other: Served on advisory board; Kite: Other: Served on advisory board; Amgen: Other: Research Support; Ziopharm: Other: Research Support; Novartis: Other: Served on advisory board; Jazz: Consultancy. Levy:Karyopharm,Takeda, BMS: Consultancy, Honoraria, Speakers Bureau. Giralt:KITE: Consultancy; NOVARTIS: Consultancy, Honoraria, Research Funding; OMEROS: Consultancy, Honoraria; ACTINUUM: Consultancy, Research Funding; MILTENYI: Consultancy, Research Funding; TAKEDA: Research Funding; CELGENE: Consultancy, Honoraria, Research Funding; JAZZ: Consultancy, Honoraria; AMGEN: Consultancy, Research Funding. Liang:Actinium Pharmaceuticals: Current Employment. Berger:Actinium Pharmaceuticals Inc.: Current Employment, Current equity holder in publicly-traded company. Reddy:Actinium Pharmaceuticals Inc.: Current Employment, Current equity holder in publicly-traded company.

AbstractWe studied 2,528 patients with upfront autologous haematopoietic cell transplantation (AHCT) for multiple myeloma (MM) from 2008–2017 to develop a prognostic model to predict outcomes. High‐risk cytogenetics included t(4;14), t(14;16), t(14;20), del13q on karyotype, del17p, +1q or 1pdel. A Cox model identified factors prognostic of progression/relapse in a training subset (n = 1,246). A weighted score using these factors was assigned to a validation cohort (n = 774). Presence of high‐risk cytogenetics [hazard ratio, (HR) 1·68 (1·3–2·17)] and pre‐AHCT bone marrow plasma cells (BMPCs) ≥10% [1·68 (1·33–2·12)] were assigned 4 points each; albumin at diagnosis <3·5 g/dl [1·31 (1·07–1·61)] 2; standard risk cytogenetics 1, and no cytogenetics abnormality, BMPCs <10% at AHCT and albumin ≥3·5 g/dl at diagnosis 0 points each. A three‐category system with low risk (0–3), intermediate risk (4–8) and high risk (9–10) showed 3‐year progression‐free survival in the low vs. intermediate vs. high risk of 58% (95% CI: 52–63) vs. 49% (95% CI: 43–56) vs. 31% (95% CI: 12–51), P < 0.001 respectively, and 3‐year OS in low vs. intermediate vs. high risk of 88% (95% CI: 84–91) vs. 81% (95% CI: 76–86) vs. 64% (95% CI: 39–80); P < 0·001. Our prognostic scoring system can identify MM patients at risk for early relapse after AHCT.

BackgroundMultiple myeloma (MM) with the translocation t(11;14) may have inferior outcomes in comparison with other standard‐risk MM, and it has been suggested to portend a worse prognosis in African Americans in comparison with Whites. This study used the Center for International Blood and Marrow Transplant Research (CIBMTR) database to examine the impact of t(11;14) on the clinical outcomes of patients with MM of African American and White descent.MethodsThis study evaluated 3538 patients who underwent autologous hematopoietic cell transplantation (autoHCT) for MM from 2008 to 2016 and were reported to the CIBMTR. Patients were analyzed in 4 groups: African Americans with t(11;14) (n = 117), African Americans without t(11;14) (n = 968), Whites with t(11;14) (n = 266), and Whites without t(11;14) (n = 2187).ResultsAfrican Americans with t(11;14) were younger, had lower Karnofsky scores, and had more advanced stage MM with a higher Hematopoietic Cell Transplantation–Comorbidity Index (HCT‐CI). Fewer African Americans with t(11;14) (21%) had a coexistent high‐risk marker in comparison with Whites with t(11;14) (27%). In a multivariate analysis, race and t(11;14) had no association with progression‐free survival. However, overall survival was superior among African Americans with t(11;14) in comparison with Whites with t(11;14) (hazard ratio, 0.53; 95% confidence interval, 0.30‐0.93; P = .03). Survival was also associated with female sex, stage, time from diagnosis to transplant, a low HCT‐CI, and receipt of maintenance.ConclusionsRace may have a differential impact on the survival of patients with t(11;14) MM who undergo autoHCT and needs to be further studied.

BackgroundUpfront autologous hematopoietic stem cell transplantation (AHCT) remains an important therapy in the management of patients with multiple myeloma (MM), a disease of older adults.MethodsThe authors investigated the outcomes of AHCT in patients with MM who were aged ≥70 years. The Center for International Blood and Marrow Transplant Research (CIBMTR) database registered 15,999 patients with MM in the United States within 12 months of diagnosis during 2013 through 2017; a total of 2092 patients were aged ≥70 years. Nonrecurrence mortality (NRM), disease recurrence and/or progression (relapse; REL), progression‐free survival (PFS), and overall survival (OS) were modeled using Cox proportional hazards models with age at transplantation as the main effect. Because of the large sample size, a P value <.01 was considered to be statistically significant a priori.ResultsAn increase in AHCT was noted in 2017 (28%) compared with 2013 (15%) among patients aged ≥70 years. Although approximately 82% of patients received melphalan (Mel) at a dose of 200 mg/m2 overall, 58% of the patients aged ≥70 years received Mel at a dose of 140 mg/m2. On multivariate analysis, patients aged ≥70 years demonstrated no difference with regard to NRM (hazard ratio [HR] 1.3; 99% confidence interval [99% CI], 1‐1.7 [P = .06]), REL (HR, 1.03; 99% CI, 0.9‐1.1 [P = 0.6]), PFS (HR, 1.06; 99% CI, 1‐1.2 [P = 0.2]), and OS (HR, 1.2; 99% CI, 1‐1.4 [P = .02]) compared with the reference group (those aged 60‐69 years). In patients aged ≥70 years, Mel administered at a dose of 140 mg/m2 was found to be associated with worse outcomes compared with Mel administered at a dose of 200 mg/m2, including day 100 NRM (1% [95% CI, 1%‐2%] vs 0% [95% CI, 0%‐1%]; P = .003]), 2‐year PFS (64% [95% CI, 60%‐67%] vs 69% [95% CI, 66%‐73%]; P = .003), and 2‐year OS (85% [95% CI, 82%‐87%] vs 89% [95% CI, 86%‐91%]; P = .01]), likely representing frailty.ConclusionsThe results of the current study demonstrated that AHCT remains an effective consolidation therapy among patients with MM across all age groups.

An 85-year-old man with cardiac history notable for atrial fibrillation diagnosed 10 years ago which was being treated with atenolol and warfarin presented to our institution with persistent atrial fibrillation. His echocardiogram showed ejection fraction (EF) of 56%, no regional wall motion abnormalities, mild mitral and pulmonary regurgitation, and trivial tricuspid regurgitation. Despite this treatment, he had recurrent episodes of paroxysmal symptomatic atrial fibrillation with a rapid rate requiring multiple emergency department visits and hospital admissions. Given difficulty to control the rate, he underwent atrioventricular (AV) nodal ablation and leadless pacemaker insertion. Fifteen days after the procedure, he was found to have a severe mitral regurgitation murmur.

8515 Background: AL is a clonal plasma cell (PC) disorder causing multiorgan dysfunction from amyloid fibril deposition. While bortezomib (B) induction has been used prior to AHCT recently, AHCT without prior induction has been a common practice. The primary objective of this study was to compare outcomes of AL patients who proceeded to AHCT without induction to those receiving pre-AHCT induction with B. Methods: Outcomes of 426 systemic AL AHCT recipients between 2014-2018 reported to the Center for International Blood and Marrow Transplant Research (CIBMTR) were reviewed. Patients receiving induction with therapy other than B, AHCT occurring > 9 months after diagnosis, no documented AL end-organ involvement, myeloma-defining events and conditioning other than melphalan (MEL) monotherapy were excluded. Multivariate analysis (MVA) was conducted to identify prognostic factors associated with relapse, PFS and overall survival (OS). Results: 286 patients received B induction therapy vs 140 patients receiving no induction. Age, gender, number and type of organs involved, and AL AHCT center volume were similar between the groups. Patients receiving induction had greater PC burden compared with no induction (PC ≥ 10%, 41% vs 11%, p < 0.01). Induction was B, cyclophosphamide and dexamethasone (D) in 83% followed by B, lenalidomide and D (10%) or B+D (7%). Median follow-up was 24.9 months. At 2 years, B induction vs. no induction was associated with 13% (95% CI 10-17%) vs 22% (95% CI 15-30%) relapse risk (p = 0.03); 83% (95% CI 79-87%) vs 74% (95% CI 66-81%) PFS (p = 0.04); 93% (95% CI 90-95%) vs 94% (95% CI 89-97%) OS (p = 0.7). On MVA, the B induction group had improved PFS (HR 0.46, 95% CI 0.3-0.7, p < 0.001) with similar OS (HR 0.6, 95% CI 0.3-1.2, p = 0.1) compared with no induction. Creatinine < 2 mg/dl (HR 0.55, 95% CI 0.3-0.9, p = 0.02) and Karnofsky score ≥90 (HR 0.51, 95% CI 0.33-0.78, p < 0.01) were also associated with improved PFS. MEL dose < 180 mg/m2 was associated with inferior PFS (HR 2.17, 95% CI 1.31-3.61, p < 0.01) and OS (HR 3.6, 95% CI 1.5-8.6, p < 0.01). No deaths were seen in the first 100 days post-AHCT. At last follow-up, 32 deaths occurred, 26 (81%) due to AL. Conclusions: Compared with prior CIBMTR analyses, B induction use has increased in AL AHCT recipients and a higher PC burden was the only clinical determinant. Furthermore, B induction was associated with lower relapse and improved PFS at 2 years with no OS difference despite higher proportion of patients with > 10% PC, which has been associated with poor outcomes.

Abstract Background: HLA associations for the risk of developing MM have been described in various non-Caucasian ethnic groups but have not revealed consistent results. Racial and genetic differences in cytokine polymorphisms linked to extended haplotypes; association of autoimmune disorders with HLA types; the proximity of the HLA Class I and II genes to TNF and other Class III genes responsible for complement and cytokines suggest that HLA polymorphisms may be associated with the risk of developing MM. Aim: We compared HLA-A,-B and -DRB1 2-digit allele and haplotype frequencies in patients with MM to the normal population in order to define HLA specificities associated with the risk of developing MM. Methods: A cohort of 1803 US Caucasian patients with MM were identified based on availability of HLA-A, B, DRB1 DNA-based typing or serologic typing converted to 2-digit alleles. These patients had either received a matched sibling allogeneic transplant for MM reported to the CIBMTR (N=174) or had HLA typing performed for an unrelated donor search conducted through the US National Marrow Donor Program (NMDP) (N=1629). HLA-A, B and DRB1 allele frequencies among patients were compared to A-B-DRB1 frequencies in HLA typed healthy US Caucasian controls (N= 433838) from the NMDP database. The most frequent alleles among patients and controls as well as HLA haplotype frequencies generated using the EM (expectation-maximization) algorithm were compared using Chi-Square analysis with Bonferroni correction for the number of comparisons. Results: Patients with MM had a median age of 49 (range 3–78) years and M/F ratio of 1.86 (1172/631). The controls had a median age of 44 (range 18–60) years and M/F ratio of 0.735 (183785/250053). Comparison of HLA-A, -B and –DRB1 single-locus allele frequencies between the myeloma patients and controls (those in the top 10 in either group) revealed similarity except for HLA-B*07 and B*44. B*44 was observed less frequently among the patients (a protective effect) frequency (f): 0.126 vs 0.145 (p= 0.005, Odds Ratio (OR): 0.848). On the contrary, HLA-B*07 was more common (a predisposing effect) among patients (OR: 1.135, p=0.047). Among the top 20 two locus (HLA-A-B and HLA-B-DRB1) haplotype frequencies in either group, B*44-DRB1*13 and B*07-DRB1*13 were significant: OR: 0.506 and 1.714 (p=0.003 and 0.007) respectively. A-B-DRB1 haplotype comparisons showed significance for: A*02-B*44-DRB1*04 (OR: 0.686, p=0.021), A*02-B*44-DRB1*13 (OR: 0.445, p=0.065) and A*02-B*07-DRB1*04 (OR: 1.968, p=0.029) confirming the single and B-DRB1 combination comparison results. Significantly different HLA-A, -B and -DRB1 single-locus allele or haplotype frequencies between patients and controls are shown in table 1. Conclusion: This is the largest epidemiologic study of HLA allele frequencies and the first study on HLA haplotype frequencies in MM. We observed a protective effect on the risk of developing MM with B*44 and a predisposing effect with B*07. Similar predisposing and protective haplotype associations were observed with A*02-B*07-DRB1*04 and A*02-B*44-DRB1*04 respectively. A revised analysis using a gender-matched control group is in progress. Further study including major histocompatibility region SNP mapping and candidate gene testing will help elucidate the genetic basis underlying this observation. Table 1. Allele/Haplotype Frequency Controls Frequency MM Odds Ratio (OR) P value (corrected) OR = odds of observing the allele/haplotype in patients compared to controls A*02-B*44-DRB1*13 0.00620 0.00277 0.445 0.065 B*44-DRB1*13 0.01359 0.00686 0.507 0.003 A*02-B*44-DRB1*04 0.02605 0.01813 0.686 0.021 B*44 0.14552 0.12618 0.848 0.005 B*07 0.13313 0.14836 1.134 0.047 B*07-DRB1*13 0.00814 0.01397 1.714 0.007 A*02-B*07-DRB1*04 0.00367 0.00721 1.968 0.029