Citations

Abstract Acute myeloid leukemia (AML) is challenging to treat with antigen-specific immunotherapy due to the lack of leukemia-specific surface antigens that are absent from normal hematopoiesis. We propose a novel solution to this problem by removing CD33, an AML-associated antigen, from normal hematopoietic stem and progenitor cells (HSPCs) by gene editing, thus rendering them resistant to CD33-targeted therapy. This enables powerful CD33-directed immunotherapy such as chimeric antigen receptor T cells (CAR T cells) to be employed against AML without disrupting normal myeloid function. We developed an optimized protocol to generate CD33 KO HSPCs with CRISPR/Cas9 and obtained up to 90% CD33 KO in primary human CD34+ cells as confirmed by flow cytometry and DNA sequencing. To test whether CD33 KO HSPCs retained multilineage potential, we engrafted NSG mice with CD34+ cells treated with Cas9 and either a CD33-targeting gRNA or a control gRNA. CD33 KO HSPCs were able to engraft and differentiate into both lymphoid and myeloid lineages in the mice to the same degree as controls. Human myeloid cells in the peripheral blood (PB) of the CD33 KO-engrafted mice were deficient for CD33, consistent with the KO efficiency measured in vitro, while expression of other myeloid markers such as CD11b and CD14 were similar to controls (Figure 1A, B). To ensure that long-term repopulating stem cells were present in the CD33 KO HSPCs, we performed secondary transplants of bone marrow from mice after four months of primary engraftment. Persistent engraftment for up to three additional months was observed in both CD33 KO HSPCs and controls, proving that gene editing with CRISPR/Cas9 and the resulting CD33 KO does not affect the self-renewal capability of human hematopoietic stem cells. To determine whether CD33 loss would lead to any functional defects in the myeloid progeny, we investigated the properties of myeloid cells derived from CD33 KO HSPCs differentiated with SCF, GM-CSF, G-CSF, IL-3, IL-6 and EPO. Cell morphology and immunophenotype of the myeloid cells after in vitro differentiation were consistent with normal neutrophils and macrophages. Phagocytosis ability, as measured by uptake of E. coli particles, was identical in CD33 KO myeloid cells as compared to controls. CD33 KO myeloid cells were also able to secrete inflammatory cytokines (IL-1b, IL-8, IL-8, IL-10, IL-12, TNF) in response to LPS stimulation to the same degree as controls. RNA-seq showed a highly concordant gene expression profile of CD33 KO HSPCs and controls (R2=0.99), thus excluding any major impact of CD33 loss on downstream gene expression. Prior studies have shown that CAR T cells targeting CD33 (CART33) can eliminate AML in mouse models but also cause toxicity to normal HSPCs (Kenderian et al, Leukemia 2015). To test our hypothesis that CD33 KO HSPCs can evade CART33-mediated toxicity, we treated mice engrafted with either control or CD33 KO HSPCs with CART33. CD33-expressing cells were eliminated in both control and CD33 KO-engrafted mice, which led to the expected myeloablation in control mice; in contrast CD33 KO-engrafted mice continued to sustain human myeloid cells (Figure 2A). Bone marrow (BM) analysis showed significantly more human stem cells (CD34+38-) and myeloid progenitors (CD34+38+) in CD33 KO-engrafted mice compared to controls after CART33 treatment (Figure 2B). We then proceeded to engraft Molm14, an AML cell line that was engineered to express luciferase, into mice bearing control or CD33 KO hematopoiesis, and studied the effect of CART33 treatment in this model. As expected, AML was eliminated in both groups as measured by bioluminescent imaging (BLI) (Figure 2C), as were peripheral blood monocytes in the control group, while monocytes were still present in the CD33 KO-engrafted mice (Figure 2D). In conclusion, we show that CD33 is dispensable in hematopoietic differentiation, and that absence of CD33 from myeloid progeny does not cause any discernible functional changes. Gene editing to remove CD33 from normal HSPCs allows persistent myelopoiesis during CART33-mediated eradication of AML, thus paving the way to a novel system that maximizes efficacy while minimizing toxicity. We envision future clinical translation of this approach by administering CD33 KO HSPCs as an allogeneic stem cell transplant in combination with CART33 in patients with AML. Disclosures Kenderian: Novartis: Patents & Royalties, Research Funding. Ruella:Novartis: Patents & Royalties. Gill:Novartis: Patents & Royalties, Research Funding.

Background Burkitt NHL (BL) is a rare hematologic malignancy that occurs in younger adults and is highly curable with aggressive chemoimmunotherapy induction regimens. Unfortunately, patients that are refractory or relapse after these regimens fare poorly and treatment guidelines are not well established. The typical approach is with standard platinum-based salvage regimens; those who obtain a complete remission (CR) become eligible for autologous or allogeneic stem cell transplantation (SCT). Chimeric antigen receptor T (CAR-T) cell therapy and bispecific antibodies offer potential novel approaches for these patients, especially those who are unable to achieve remission in order to proceed with SCT; however, CAR-T therapy is not approved nor even tested in BL other than promising single case reports (Avigdor A, Bone Marrow Transplant. 2018 May 24). The goal of this study was to learn the clinical features and outcome of R/R BL in order to design a prospective strategy for novel therapy use in relapsed/refractory (R/R) BL patients. Methods We reviewed the Mayo Clinic Lymphoma database to find cases of BL diagnosed and treated between 1/1/2000 - 9/30/2018. Forty-two cases were identified and 32 (76%) entered CR and never relapsed; 10 (24%) did not respond or relapsed and are the focus of this report. Demographic, clinical response to treatment regimens, and long-term outcomes were extracted from the Mayo Clinic electronic medical record. Results The 10 patients with R/R BL had a median age of 41 years (range, 28-59); all had received aggressive chemoimmunotherapy induction regimens; 7 were primary refractory and 3 relapsed within 3 months (2-4) of achieving first CR. All 3 patients that relapsed did so in the central nervous system (CNS) despite receiving CNS prophylaxis with their induction therapy regimen. The response to salvage therapy was 30% (3/10) with 10% CR and 30% (3/10) proceeded to autologous SCT (no patients made it to allogenic SCT). The median progression free survival (PFS) and overall survival (OS) from diagnosis of all 10 patients was 4 months (1-9) and 70% (7/10) died within 6±4 months from date of relapse. The 3 patients with relapsed BL survived 7, 10, and17 months from date of relapse. The 3 patients who did survive to receive a SCT lived 2, 4, and 13 months from date of SCT. None of the 10 patients survived past 26 months from date of diagnosis. Conclusions Patients with R/R BL represent an uncommon and unique subset of aggressive NHL that require a new therapeutic approach such as CAR-T. Our study demonstrates the very poor outcome with traditional salvage therapies and the very short OS of these young, otherwise healthy patients. We recommend that these patients be considered as emergencies and referred promptly for novel therapies such as CAR-T trials at the very first sign of treatment failure. Waiting with the intent of attaining response to traditional therapies is futile. Insurance approval initiation and harvesting of T-cells should be rapidly performed, preferably prior to initiating salvage therapy, given the rapid clinical deterioration and demise of these patients. Disclosures Kenderian: Lentigen: Research Funding; Novartis: Patents & Royalties, Research Funding; Tolero: Research Funding; Humanigen: Other: Scientific advisory board , Patents & Royalties, Research Funding; Morphosys: Research Funding; Kite/Gilead: Research Funding. Bennani:Kite Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Adicet Bio: Other: Advisory board; Adicet Bio: Other: Advisory board; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Purdue Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Adicet Bio: Other: Advisory board; Kite Pharma: Other: Advisory board; Kite Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Bristol-Myers Squibb: Research Funding. Nowakowski:Selvita: Membership on an entity's Board of Directors or advisory committees; NanoString: Research Funding; MorphoSys: Consultancy, Research Funding; Genentech, Inc.: Research Funding; F. Hoffmann-La Roche Ltd: Research Funding; Curis: Research Funding; Bayer: Consultancy, Research Funding; Celgene: Consultancy, Research Funding.

Introduction: Allogeneic stem cell transplant (HCT) is the only potential curative option for patients with inherited marrow failure (iBMF) and myeloid germline predisposition syndromes (GPD). HCT outcomes are influenced by inherent disease specific-nuances such as alkylating agent and radio-sensitivity, immune deregulation, and higher risks for graft failure and GVHD; factors contributing to transplant related mortality (TRM) and morbidity. We carried out this retrospective study to assess survival outcomes and long term complications (LTC) in patients with IBMF and GPD that underwent HCT. Patients and methods: We queried our institutional database and identified patients with iBMF and GPD as defined by the 2016 WHO classification. These included Fanconi anemia (FA), short telomere syndromes (STS), Diamond-Blackfan anemia (DBA), GATA2 and RUNX1 haploinsufficiency, congenital amegakaryocytic thrombocytopenia (CAMT), deficiency of adenosine deaminase 2 (DADA2), among others. Patients with acquired causes of BMF were excluded. Statistical analyses were performed using SAS (JMP v14.1). Results: Twenty eight patients, median age 10 years (1 month-63 years), 46% males, were included in the study (table 1). Fanconi anemia Seven (25%) patients with FA underwent HCT, 5 (71%) without myeloid transformation and 2 after transformation to MDS/AML. Five (71%) patients received a RIC, 4 (57%) prior to transformation. At a median follow up (FU) of 126 m, the median OS was 194 m (95% CI 34m; NR) and 10 year survival was 64%. Grade 1 aGVHD was seen in four (57%) and 3 (42%) developed mild cGVHD, while 1 developed a donor derived AML (sibling not tested for FA). LTC included second primary malignancy (SPM) - squamous cell cancer (SCC) of skin and muscle invasive bladder cancer (MIBC) in 1(14%) and SCC of head/neck and anogenital region in 3 patients (43%), psychosocial complications (PS) in 6(85%), premature ovarian failure (POF) in 3(43%), and avascular necrosis (AVN) in 4(57%) patients. Short Telomere Syndromes (STS) Seven patients with STS underwent HCT, 2 (28%) after transformation to MDS. Five (71%) received RIC, including both the transformed patients. At a median FU of 67m, median OS was NR (95% CI 2m; NR) and 5 year survival was 47%. One (14%) patient developed grade 2 aGVHD and mild cGVHD of skin. Three (43%) developed SPM - skin cancers in 2 and MIBC in 1. PS was noted in 1(15%), and AVN in 3(43%). Three (43%) patients had concomitant mild IPF/restrictive lung disease. GATA2 haploinsufficiency : Seven patients with GATA2 haploinsufficiency underwent HCT; 2(28.5%) after transformation to MDS and 3(43%) to AML, of which 2(40%) received MAC. At a median FU of 57m, median OS was NR (95% CI 7m; NR) and 5 year survival was 71%. Three (50%) developed grade 2 aGVHD of skin and GI tract and 2(33%) developed mild cGVHD. LTC include PTLD, AVN and POF in 1 patient each. Ribosomopathies : One patient (13y) with DBA underwent RIC HCT and developed grade 2 aGVHD, secondary iron overload, and died at 10 months due to severe fungal infection. Others : Identical twins with CAMT underwent HCT (at 4y and 5y) from the same unrelated donor and at last FU (74m and 87m, respectively) remain 100% donor without GVHD. Two children with primary immunodeficiency and marrow failure underwent HCT (at 2y and 7y), one after transformation to MDS. The non-transformed patient is currently alive (120m), while the patient with transformation died 1month after HCT from disseminated cytomegalovirus infection. One patient with germline RUNX1 deletion developed CMML and underwent a RIC HCT and is alive at a FU of 4 months, with no GVHD. One patient with DADA2 (n=1) underwent RIC HCT without LTC. Due to the smaller cohort size, we compared OS in transformed and non-transformed patients for the IBMF and GATA2 patients only (n=24, 9 with transformation) (figure1). At a median FU of 74m, the median OS of transformed vs non-transformed patients was 108m(95% CI 1;108m) and 163m(95% CI 67m; NR), respectively (p=0.033). Conclusions: Our study demonstrates that HCT remains an important intervention for IBMF and GPD, with the maximum impact being gained prior to transformation. While only mild chronic GVHD was noted (37%), inherent syndromic issues resulted in a high rate of SPM (FA/STS) and organ failure (STS- IPF). Notably, one FA patient who received an MRD HCT developed donor derived AML, underlining the importance of genetic screening in asymptomatic related individuals. Disclosures Kenderian: Lentigen: Research Funding; Kite/Gilead: Research Funding; Morphosys: Research Funding; Humanigen: Other: Scientific advisory board , Patents & Royalties, Research Funding; Novartis: Patents & Royalties, Research Funding; Tolero: Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

BACKGROUND Pulmonary infiltrates are common after allogeneic hematopoietic cell transplantation (HCT) and can have infectious or non-infectious etiologies. Fiberoptic Bronchoscopy (FOB) with bronchoalveolar lavage (BAL) is frequently used to evaluate these patients. However, the diagnostic yield can be highly variable according to patient populations, and the impact on management is not well defined, especially in the era of modern antimicrobial therapies. The aim of this study was to investigate the diagnostic and therapeutic yield of FOB-BAL in adult patients with pulmonary infiltrates during the first 100 days following HCT. METHODS We retrospectively reviewed the medical records of adult HCT patients who underwent FOB-BAL during the first 100 days post HCT between January 2005 and December 2015 at Mayo Clinic, Rochester, MN. The interval from HCT to FOB was stratified into early (days 1-30) vs. late (days 31-100). The finding of progressively more hemorrhagic effluent and/or ≥ 20% hemosiderin-laden macrophages in BAL were considered diagnostic for diffuse alveolar hemorrhage (DAH). Univariate and multivariate logistic regression models were fit to identify clinical and transplant characteristics that may impact the diagnostic yield of FOB-BAL. RESULTS A total of 114 patients (median age 55 years), representing 12% of all HCT patients underwent FOB-BAL. Underlying diagnoses were AML in 36%, MDS in 16%, ALL in 16%, MPN in 12% , CLL in 7%, and other in 13%. Transplants were from matched related donor in 43%, matched unrelated donor in 40%, and other donor/matching status in 17%. FOB-BAL was performed during the early period in 61% and during the late period in 39% of patients. In the early period, FOB-BAL provided a specific diagnosis in 49% of patients (30% DAH and 19% infection). In the late period, FOB-BAL had a diagnostic yield of 55% (14% DAH and 36% infection) (Figure 1). The distribution of bacterial and viral infections identified via BAL were similar during the early period (39% and 38%, respectively), whereas more bacterial than viral infections were identified in the later period (56% vs. 19%, respectively) (Figure 2). Non-invasive testing for respiratory tract infection was performed in 34% of patients. These included nasopharyngeal swab for RSV/Influenza PCR in 16% (all negative), multiplex respiratory pathogen PCR in 5% (1 positive for coronavirus), and sputum culture in 21% (positive in 8 patients). This compares with the identification of an infectious pathogen via BAL in 36% of patients; bacterial in 16%, viral in 11%, and fungal in 10%. Transbronchoscopic lung biopsy biopsies were performed in 8 patients and provided diagnostic information in 3 patients (eosinophilic pneumonia, organizing pneumonia and diffuse alveolar damage each in 1 patient). Procedural complications occurred in 3 patients; 2 after transbronchoscopic lung biopsy (1 bleeding and 1 pneumothorax) and 1 during FOB-BAL (atrial fibrillation with rapid ventricular rate). In a multivariable logistic regression model, the underlying diagnosis, presence of acute respiratory failure, and early vs. later time period after HCT were independently affecting the diagnostic yield of FOB-BAL, with higher likelihood of DAH being diagnosed in patients with AML/MDS and during the early post-HCT period, and higher likelihood of DAH being diagnosed in patients with acute respiratory failure (Table 1). In 40% of patients, FOB-BAL findings lead to treatment changes. These included addition of antimicrobials in 24% and addition of corticosteroids in 22% (17% DAH, 2% idiopathic pneumonia syndrome, and 1% organizing pneumonia) (Figure 3). FOB findings lead to more antimicrobial modifications in the early than in the later period (32% vs. 18%, respectively). Overall survival was poor in all the three groups, although significantly better in patients with non-diagnostic FOB findings (median of 2, 3, and 11 months in patients with DAH, infection, or non-diagnostic FOB finings, respectively) (p = 0.03) (Figure 4). CONCLUSION FOB-BAL provides clinically useful information in the post-transplant period. BAL findings were diagnostic in 51% of patients, and led to management changes in 40% of patients. Transbronchoscopic lung biopsy is associated with higher rates of procedural complications. Further characterization of the underlying diagnosis in patients with non-diagnostic FOB-BAL findings remains an unmet clinical goal. Disclosures Sakemura: Humanigen: Patents & Royalties. Kenderian:Morphosys: Research Funding; Kite/Gilead: Research Funding; Lentigen: Research Funding; Humanigen: Other: Scientific advisory board , Patents & Royalties, Research Funding; Tolero: Research Funding; Novartis: Patents & Royalties, Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

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.

Background: The 2018 iwCLL guidelines recommend close observation of early stage CLL pts who do not meet indications for therapy ("watch and wait" strategy). Prior attempts at early therapeutic intervention in unselected early-stage CLL pts using alkylating agents such as chlorambucil and chemoimmunotherapy failed to show a significant benefit; and these therapies were associated with substantial toxicities. The introduction of Bruton tyrosine kinase (BTK) inhibitors has revolutionized the treatment landscape of CLL. The German CLL Study group recently presented results of the CLL12 study which demonstrated a significant improvement in event-free survival (EFS) among untreated early stage high risk CLL pts who received ibrutinib compared to placebo (median EFS not reached vs. 47.8 months, respectively; Langerbeins, EHA, 2019). Acalabrutinib is a more selective second-generation BTK inhibitor that has fewer adverse events in pts with CLL, and has shown equally impressive clinical activity for CLL pts. We are conducting an investigator initiated randomized phase 2 study to compare acalabrutinib with or without obinutuzumab (a glycoengineered anti-CD20 monoclonal antibody approved in the treatment of CLL) among high risk early stage CLL pts. Study Design: All pts with newly diagnosed (<2 years from registration) previously untreated early stage CLL who do not meet the 2018 iwCLL guidelines for initiation of therapy are eligible for enrollment in this study. Pts undergo risk stratification according to the CLL-International prognostic index (CLL-IPI) which consists of the following 5 variables: age >65 years (1 point), Rai stage I-IV (1 point), del17p and/or TP53 mutation (4 points), unmutated immunoglobulin heavy chain (IGHV) genes (2 points), and serum β2-microglobulin >3.5 g/dL (2 points). Pts with high (4-6) and very high (7-10) risk CLL-IPI are randomly (1:1) assigned to acalabrutinib 100 mg orally twice daily (Arm A) or acalabrutinib with obinutuzumab at a standard approved schedule (Arm B). Treatment with acalabrutinib is continued for a minimum of 2 years unless the patient has unacceptable side effects or withdraws consent. Pts with low (0-1) and intermediate (2-3) risk CLL-IPI score are assigned to an observation arm with follow-up once every 6 months for 2 years, and then according to routine clinical practice (Arm C). Endpoints: The primary endpoint of the intervention arms (Arms A and B) is the achievement of minimal residual disease (MRD)-negative complete remission in the bone marrow after 2 years of therapy. MRD is assessed using an 8-color flow cytometry with a detection limit of 0.01%. The primary endpoint of the observation arm (Arm C) is time to first therapy. Secondary endpoints for all arms are: progression-free survival, overall survival, and safety. Statistical design: A randomized trial comparing the experimental arm (acalabrutinib plus obinutuzumab) against the control arm (acalabrutinib alone) will be conducted as described by Rubinstein. A sample size of 36 pts per arm provides 80% power to detect an improvement in MRD-negative complete response rate from 10% to 30%, using a one-sided test at a significance level of 0.10 (EAST 6.4). We anticipate accruing an additional 8 high/very high risk pts (4 in each arm) to account for ineligibility, cancellation, or major treatment violation. The total enrollment for Arms A and B will be 80 pts. We will enroll 40 pts to Arm C; for a total enrollment of 120 pts. Key correlatives: Comprehensive profiling to assess the innate and adaptive immune system in paired peripheral blood and bone marrow will be conducted in all pts registered to Arms A and B at baseline, 12 and 24 months after enrollment. In addition, bone marrow hematopoietic function will be assessed in all pts at these time points. We will employ a CLL focused custom 61-gene panel to estimate tumor mutational burden as well as mutational profiles for each patient at baseline, 12, and 24 month time points, as well at the time of disease progression. Preliminary results: The trial is registered at clinicaltrials.gov NCT03516617. The trial opened to accrual at all three Mayo Clinic sites (Rochester, MN; Jacksonville, FL; and Scottsdale, AZ) in September 2018. Twenty-eight pts have been registered; the baseline characteristics are shown in Table 1. The trial is expected to complete enrollment in September 2020; and the primary analysis will be available in September 2022. Disclosures Parikh: Janssen: Research Funding; AstraZeneca: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; AbbVie: Honoraria, Research Funding; Acerta Pharma: Research Funding; Ascentage Pharma: Research Funding; Genentech: Honoraria. Ding:DTRM Biopharma: Research Funding; Merck: Research Funding. Ailawadhi:Pharmacyclics: Research Funding; Cellectar: Research Funding; Takeda: Consultancy; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy. Kenderian:Novartis: Patents & Royalties, Research Funding; Tolero: Research Funding; Humanigen: Other: Scientific advisory board , Patents & Royalties, Research Funding; Lentigen: Research Funding; Morphosys: Research Funding; Kite/Gilead: Research Funding. Chanan-Khan:Mayo Clinic: Employment; Ascentage: Research Funding; Millennium: Research Funding; Jansen: Research Funding; AbbVie: Research Funding; Xencor: Research Funding; Pharmacyclics: Research Funding; Merck: Research Funding. Kay:Infinity Pharmaceuticals: Other: DSMB; Celgene: Other: Data Safety Monitoring Board; Agios: Other: DSMB; MorphoSys: Other: Data Safety Monitoring Board. OffLabel Disclosure: Drug: Acalabrutinib Purpose: treatment of CLL

Background: Carfilzomib (Car), a second-generation proteasome inhibitor (PI), has been approved by the US Food and Drug Administration (FDA) as therapy for relapsed and /or refractory multiple myeloma (RRMM), either as a single agent or in combination with other agents. It has proven to be superior in many ways compared to the the first generation PI, bortezomib, both in terms of superior efficacy and neuropathy related adverse effect profile. Carfilzomib has lower rate of peripheral neuropathy. In this review, we gathered data from trials which studied Carfilzomib for newly diagnosed MM (NDMM). Carfilzomib based two and three drug combination as induction regimens for the management of NDMM is an emerging approach. Through this systematic review, we explore efficacy, adverse effect profile of Car based regimens for NDMM. Methods: Per PRISMA guidelines, a thorough database search was conducted on 06/24/2019 using the following search engines; PubMed, EMBASE, Cochrane library, Scopus, Web of Science, CINAHL, and Clinicaltrials.gov. We included all published trials that used carfilzomib as an induction agent in NDMM patients and had at least response rates after induction. Results: The total number of articles identified with initial search were 1131, out of which 19 articles met our selection / eligibility criteria (n=2286). The overall response rates (ORR) after induction therapy with carfilzomib based regimens was very impressive (range: 84.3% - 100%). Two drug combination using carfilzomib and dexamethasone (n=72) had an ORR of 90% and a greater than very good partial response rate (>VGPR) of 84%. Three drug combinations used for induction therapy included carfilzomib/dexamethasone with immunomodulators (n=391) and alkylating agents (n=308). The combination of carfilzomib/dexamethasone with lenalidomide (n=189, ORR: 97% - 98%, >VGPR: 69% - 98%) and thalidomide (n=202, ORR: 90% - 94%, >VGPR: 66% - 68%) showed the best response. Alkylating agents used in combination with carfilzomib were melphalan (n=98, ORR: 90% - 93%, >VGPR: 58% - 70%), cyclophosphamide (n=192, ORR: 87% - 95%, >VGPR: 39% - 71%) and bendamustine (n=18, ORR; 100%, >VGPR: 89%). Four drug combinations with carfilzomib used were daratumumab/lenalidomide/dexamethasone (n=22, ORR: 100%, >VGPR: 90%, 12m PFS: 95%) and cyclophosphamide / thalidomide / dexamethasone (n=64, ORR; 91%, >VGPR: 69%, 24m PFS: 76%). One trial directly compared carfilzomib/melphalan/dexamethasone (n=478, ORR: 84%, >VGPR: 61%, PFS: 22.3m) with bortezomib/melphalan/dexamethasone (n=477, ORR: 79%, >VGPR: 49%, PFS: 22.1m). Another trial compared the combination of carfilzomib / dexamethasone with lenalidomide (n=315) or cyclophosphamide (n=159) that showed similar ORR (97% vs 91%) though >VGPR rate was better with lenalidomide (75% vs 60%). Efficacy data including progression free survival (PFS) for carfilzomib based regimens is reported in table 1. Most common >grade 3 hematological adverse effects reported were anemia (2% - 35%), lymphopenia (5% - 76%), thrombocytopenia (4% - 28%) and neutropenia (1% - 38%). Most Common >grade 3 non-hematological adverse events included cardiac events (5% - 10%), respiratory disorders (8% - 16%), infections (2% - 9%), hypertension (6% - 17%), renal events (9% - 10%) and hyperglycemia (6% - 23%). (Table 1) Conclusion: The overall efficacy and favorable adverse effect profile of Carfilzomib-based induction regimens seem very promising for the treatment of NDMM. Car is now approved for weekly dosing which is convenient. Due to cardiovascular toxicity seen in upto 10% cases, Car should be used very judiciously in patients with cardiovascular risk factors and heart failure. Several ongoing phase 3 clinical trials are studying Carfilzomib in various combinations will help to establish foundation for future standard therapy as well as next phase of drug development through clinical trials. Disclosures Anwer: In-Cyte: Speakers Bureau; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees.

Introduction: Daratumumab, a CD38-directed monoclonal antibody, in combination with lenalidomide and dexamethasone (D-Rd), recently received FDA approval for the treatment of patients with newly diagnosed multiple myeloma (NDMM) ineligible for autologous stem cell transplantation (ASCT). FDA approval was based on results of the prespecified interim analysis of a pivotal phase III trial (MAIA) in which D-Rd was compared to Rd among patients with NDMM who were ineligible for ASCT. In the MAIA trial, D-Rd significantly reduced the risk of progression or death compared to Rd. However, no trials have compared D-Rd to other standard-of-care (SOC) regimens. The present study compared progression-free survival (PFS) of D-Rd from the MAIA trial database to common SOC regimens from the Flatiron Health EHR Database, a de-identified nationwide US database of records primarily from community-based oncology practices. Methods: Patient-level data were obtained from the MAIA trial and the Flatiron database. Patients in the MAIA trial were enrolled between March 2015 and January 2017. To be included in MAIA, patients had to be deemed ineligible for high-dose chemotherapy with ASCT due to either age (≥65 years) or presence of comorbidities, have Eastern Cooperative Oncology Group performance status (ECOG PS) ≤2, creatinine clearance ≥30mL/min, and adequate bone marrow reserve. In the Flatiron Database, patients had to be diagnosed with MM between January 2011 and April 2019, age ≥65 years at initiation of first line treatment (LOT1), could not have received stem cell transplant as part of LOT1, and met MAIA inclusion/exclusion criteria. Regimens received by fewer than 10% of patients in Flatiron were excluded due to sample size and statistical power considerations. Bortezomib-lenalidomide-dexamethasone (VRd), bortezomib-dexamethasone (Vd), and Rd were the most commonly used regimens in non-transplant NDMM patients, representing 67% of regimens used in this setting. Multiple imputation by chained equations was used to address missing data in Flatiron. Eligible Flatiron patients treated with VRd, Vd, or Rd as LOT1 were reweighted to resemble the MAIA trial population on measured baseline characteristics using propensity-score (PS) weighting. An anchored adjusted indirect treatment comparison (ITC) was performed to compare D-Rd to VRd and D-Rd to Vd, using a stratified Cox proportional hazards regression model with Rd as the common anchor across both data sources. The model calculates hazard ratios (HRs) for direct comparisons within MAIA (D-Rd vs Rd) and within Flatiron (VRd vs. Rd, Vd vs. Rd) to estimate the HRs indirectly for D-Rd vs. VRd and D-Rd vs. Vd. Results: After application of MAIA inclusion criteria and PS-reweighting, the Flatiron VRd, Rd, and Vd patients resembled the MAIA trial population on baseline patient demographics and clinical characteristics (Table 1). D-Rd statistically significantly reduced the risk of progression or death compared to Rd (HR=0.55; 95% CI, 0.41-0.72) based on the direct comparison with D-Rd using the MAIA trial data; D-Rd statistically significantly reduced the risk of progression or death compared to VRd (HR=0.66; 95% CI, 0.46-0.95) and Vd (HR=0.47; 95% CI, 0.33-0.67) based on the anchored ITC (Figure 1). Sensitivity analyses will be performed and updated analysis using longer follow-up data from the MAIA study will be presented at the meeting. Conclusion: This analysis demonstrated that D-Rd reduced the risk of progression or death compared to other SOCs VRd and Vd for patients with NDMM who are transplant-ineligible. In the absence of head-to-head trials, this type of patient-level analysis provides important information that can help optimize treatment for patients with NDMM who are transplant-ineligible. Disclosures Durie: Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Kumar:Takeda: Research Funding; Janssen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding. Usmani:Amgen, Celgene, Janssen, Sanofi, Takeda: Speakers Bureau; Amgen Array Biopharma, Bristol-Myers Squibb, Celgene, Janssen, Merck, Pharmacyclics, Sanofi, Takeda: Other: Research Grant; Amgen, Bristol-Myers Squibb, Celgene, Janssen, Merck, SkylineDX, Takeda: Other: Consultant/Advisor. Ammann:Janssen: Employment, Equity Ownership. Lam:Janssen: Employment, Equity Ownership. Kobos:Janssen: Employment. Maiese:Janssen: Employment, Equity Ownership. Facon:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees.

INTRODUCTION Mutations in BTK and PLCG2 have been reported to occur in ~80% of CLL patients (pts) who have progression of disease on ibrutinib therapy (Woyach, JCO 2017; Ahn, Blood 2017). These mutations are described as appearing months before actual relapse and thus considered as a potential predictive biomarker for future relapse (Quinquenel, Blood 2019). However, the outcomes of these pts after disease progression are not well described. In this study, we seek to investigate time to next therapy and overall survival (OS) following progression among CLL pts on ibrutinib therapy with and without these resistance mutations. METHODS Between 10/2012 and 6/2019, we identified 34 pts in the Mayo Clinic clinical CLL resource who progressed while receiving ibrutinib therapy and also had testing for BTK and PLCG2 mutation performed as part of routine clinical practice at either NeoGenomics Laboratories or The Ohio State University. OS was calculated from time of ibrutinib progression to last known alive or death date; OS was plotted using Kaplan Meier methods and was compared using the log-rank test between various groups (e.g., mutation positive vs negative; CLL progression vs Richter's). Cumulative incidence of time to next treatment in those who had a treatment after progression was adjusted for the competing risk of death. RESULTS Of 34 pts who progressed while receiving ibrutinib, 26 pts experienced CLL progression and 8 pts had Richter's transformation; baseline characteristics in Table 1A. The presence of a BTK or PLCG2 mutation was found in 20/34 (59%) pts (specific mutations in Table 1B). BTK mutation alone was present in 9 pts, 7 pts had PLCG2 mutation alone, and 4 pts had both mutations. Median time between a positive test and start of next therapy was 4 months (range 1-19 months) and did not vary between BTK vs PLCG2 mutations. Among the 26 pts with CLL progression, 18 (69%) pts had a mutation present: BTK alone (n=8), PLCG2 alone (n=6), both (n=4). Therapy following progression on ibrutinib in these pts was as follows: venetoclax (n=16; 11 pts who continued ibrutinib in combination), idelalisib (n=4), investigational treatments (n=2), continued ibrutinib alone (n=2), dose-adjusted EPOCH-R (etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin, and rituximab; n=1), and unknown (n=1). Twelve of the 26 pts with CLL progression on ibrutinib, including 8 pts with a prior resistance mutation detected, had subsequent progression of disease on the aforementioned next line therapy. Treatment of these patients consisted of the following: restarted ibrutinib in addition to current treatment of venetoclax (n=5), venetoclax (n=2), pembrolizumab (n=2; 1 pt with continued ibrutinib), obinutuzumab with continued ibrutinib (n=1), gemcitabine and vinorelbine with continued ibrutinib (n=1), and no further treatment (n=1). Among the 8 pts with Richter's transformation as the initial progression event on ibrutinib after mutation testing, 1 pt had a BTK mutation and 1 pt had a PLCG2 mutation. Treatments following progression on ibrutinib included multi-agent chemoimmunotherapy (n=3; 2 pts received rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone [R-CHOP] with continued ibrutinib and 1 pt received doxorubicin, bleomycin, vinblastine, dacarbazine [ABVD] alone), pembrolizumab (n=3; 1 pt in combination with continued ibrutinib), venetoclax in combination with continued ibrutinib (n=1), and venetoclax and obinutuzumab (n=1). The median time to next treatment (second line of treatment beyond ibrutinib) for the 31 pts who started another therapy following progression on ibrutinib was 16.7 months (95% CI 9.6-NE; Figure 1A) and was not significantly different for pts with or without a resistance mutation (p=0.57). Median OS for all 26 pts with CLL progression was 28.7 month and there was no difference according to presence or absence of a resistance mutation (median 28.7 months vs 18.2 months, p=0.53; Figure 1B). The 8 pts with Richter's transformation had a median OS of 7.1 months (95% CI 2.0-NE). CONCLUSION Approximately 60% of pts tested in this progression cohort had a BTK or PLCG2 mutation at time of or preceding progression on ibrutinib therapy. OS and time to next therapy did not differ statistically between pts with mutated vs non-mutated clones; however, caution should be applied with the conclusions given the limited sample size. Disclosures Ding: DTRM Biopharma: Research Funding; Merck: Research Funding. Kenderian:Novartis: Patents & Royalties, Research Funding; Tolero: Research Funding; Humanigen: Other: Scientific advisory board , Patents & Royalties, Research Funding; Lentigen: Research Funding; Morphosys: Research Funding; Kite/Gilead: Research Funding. Kay:MorphoSys: Other: Data Safety Monitoring Board; Infinity Pharmaceuticals: Other: DSMB; Celgene: Other: Data Safety Monitoring Board; Agios: Other: DSMB. Parikh:Ascentage Pharma: Research Funding; Genentech: Honoraria; Janssen: Research Funding; AstraZeneca: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; AbbVie: Honoraria, Research Funding; Acerta Pharma: Research Funding.

Background: The 2008 International Working Group for CLL (IWCLL) criteria define MBL as a clonal B-cell disorder with a peripheral blood B-cell count of <5 x 109/L, in the absence of cytopenias(s), lymphadenopathy and/or organomegaly on physical examination, and no other concomitant lymphoproliferative disorder. In the presence of palpable lymphadenopathy and/or organomegaly, and a B-cell count of < 5 x 109/L, a diagnosis of small lymphocytic lymphoma (SLL) is established. A study by Gentile et al (Am J Hematol. 2013) reported that 29 out of 62 individuals with clinically identified MBL (42%) had lymphadenopathy identified on CT imaging. Notably, however, after a median follow-up of 35 months, the rate of progression among cases of MBL with lymphadenopathy identified on CT imaging was only 6.9% (2/29 patients), which was no different than in cases of MBL without lymphadenopathy on CT imaging (rate of progression, 9%; 3/33 patients). Our study sought to 1) determine if lymphadenopathy and/or organomegaly detected by imaging studies performed for unrelated reasons in individuals with MBL can identify a subset with shorter time to first CLL therapy (TFT) and overall survival (OS); and 2) compare outcomes of individuals with MBL who have incidentally detected lymphadenopathy/splenomegaly and SLL patients. Methods: We used the Mayo Clinic CLL Database to identify individuals with high-count MBL (absolute B-cell count: 0.5 - 4.9 x 109/L) and divided them into the following three cohorts: a) Cohort A: no imaging studies available at MBL diagnosis; b) Cohort B: imaging studies done within one year of MBL with no evidence of lymphadenopathy and/or organomegaly; and c) Cohort C: imaging studies done within one year of MBL with lymphadenopathy and/or organomegaly, attributable to MBL. All individuals with MBL were first seen at Mayo Clinic after 1/1/2002; those with a concomitant lymphoproliferative disorder within 3 months of diagnosis were excluded. Patients with SLL seen during the same time interval were identified as a comparison cohort. We compared the baseline characteristics (Kruskal Wallis for continuous and Chi-square for categorical variables) and TFT and OS across the three MBL cohorts, and patients with SLL. Cumulative incidence of TFT was adjusted for the competing risk of death. Age- and sex-adjusted OS was analyzed using inverse weights methods. Results: 657 individuals with high-count MBL with a median follow-up of 6.7 years were identified: 415 (63%) individuals were in Cohort A, 142 (22%) in Cohort B, and 100 in (15%) Cohort C. Compared to Cohort B, individuals in Cohort C were more likely to have unmutated IGHV, high expression of CD38, and higher beta-2 microglobulin level (Table 1). SLL patients were younger, had higher rate of unmutated IGHV, and had high expression of CD49d compared to MBL individuals in Cohort C (Table 1). There was suggestive evidence of a difference in TFT between Cohorts B and C (estimated 10-year treatment rate 28.3% vs. 41.6%; p=0.16; HR 1.62 95% CI 0.84-3.15). TFT was significantly shorter in SLL patients compared to those with Cohort C (estimated 10-year treatment rate 71% vs. 41.6%, respectively, P<0.001; Figure 1A). There was a trend toward shorter OS in Cohort C compared to Cohort B (estimated 10-year OS rate 53.7% vs. 64.2%, respectively, P=0.09; Figure 1B). In contrast, there was no difference in OS among MBL individuals in Cohort C compared to those with SLL (estimated 10-year OS rate 56.9% vs. 62.6%, P=0.72). Summary/Conclusion: Our findings demonstrate that individuals with MBL who have incidentally identified lymphadenopathy/splenomegaly at diagnosis are more likely to have an unfavorable risk profile, shorter TFT and OS compared to patients who did not have lymphadenopathy/splenomegaly at MBL diagnosis. Additionally, these individuals have a longer TFT but similar OS compared to SLL patients seen during the same time interval. If externally validated, these findings have significant implications for individuals with newly diagnosed MBL. Disclosures Ding: Merck: Research Funding; DTRM Biopharma: Research Funding. Kenderian:Novartis: Patents & Royalties, Research Funding; Tolero: Research Funding; Humanigen: Other: Scientific advisory board , Patents & Royalties, Research Funding; Lentigen: Research Funding; Morphosys: Research Funding; Kite/Gilead: Research Funding. Kay:MorphoSys: Other: Data Safety Monitoring Board; Infinity Pharmaceuticals: Other: DSMB; Celgene: Other: Data Safety Monitoring Board; Agios: Other: DSMB. Parikh:AstraZeneca: Honoraria, Research Funding; Janssen: Research Funding; AbbVie: Honoraria, Research Funding; Acerta Pharma: Research Funding; Ascentage Pharma: Research Funding; Genentech: Honoraria; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding.