Citations

Abstract Background - The phenotype and biological role of monocytes in B-cell non-Hodgkin lymphoma (NHL) is not fully understood, however, an increased absolute monocyte count in the peripheral blood of lymphoma patients is associated with a poor prognosis. We have previously reported that monocytes from patients with relapsed B-cell NHL displayed an immunosuppressive CD14+HLA-DRlow/- phenotype that correlated with a poor prognosis. However, the underlying mechanism by which CD14+HLA-DRlow/- monocytes develop in patients with B-cell NHL is unknown. The goal of this study was to determine whether cytokines are responsible for the increased number and phenotype of CD14+HLA-DRlow/-monocytes present in lymphoma patients. Methods – Whole blood from patients with newly diagnosed, untreated B-cell NHL (n=20) and healthy donors (n=20) was stained with a panel of antibodies and analyzed by 10-color flow cytometry. Cytokine levels in serum and culture supernatants were measured by Luminex and ELISA, respectively. Polarization of monocytes from healthy donors was performed by incubating CD14+ cells with specific cytokines or supernatants from B-cell NHL cell lines for 24 hours. Activation and proliferation of CD4+T cells cocultured with IL-10-pretreated monocytes were measured by flow cytometry. Results – By flow cytometry, we observed that the absolute number of peripheral monocytes was increased in newly-diagnosed lymphoma patients compared to healthy donors. A significant proportion of these monocytes displayed an immunosuppressive CD14+HLA-DRlow/- phenotype and the numbers of CD14+HLA-DRlow/- cells were significantly higher in lymphoma patients than in healthy donors. To identify the underlying mechanism by which CD14+HLA-DRlow/- monocytes develop thereby leading to increased numbers of CD14+HLA-DRlow/- monocytes in B-cell NHL, we tested a panel of cytokines and found that IL-10 played a key role in the process. Firstly, treatment of monocytes with IL-10 in vitro resulted in the generation of CD14+HLA-DRlow/- cells. Second, monocytes co-cultured with IL-10 producing lymphoma B-cells, or treated with supernatants from lymphoma cell cultures, developed a CD14+HLA-DRlow/- phenotype. Thirdly, IL-10 levels were increased in the serum of DLBCL (p<0.0001) and FL patients (p=0.010) compared to healthy controls, and serum IL-10 levels correlated with increased numbers of peripheral monocytes (p=0.02). Finally, IL-10-pretreated CD14+HLA-DRlow/- monocytes were significantly immunosuppressive and inhibited the proliferation and activation of CD4+T cells in co-culture assays. Conclusions- Taken together, our results suggest that IL-10 signaling contributes to the increased numbers of CD14+HLA-DRlow/- monocytes in B-cell NHL. Strategies to inhibit IL-10 production may therefore have therapeutic potential in B-cell NHL. Disclosures No relevant conflicts of interest to declare.

Abstract Background: NK/T cell non-Hodgkin lymphomas (NK/T NHL) are rare high-grade lymphomas that are diagnostically challenging and carry a poor prognosis. Incidence is notably higher in Asian countries as compared to North America and Europe. South Americans have an incidence similar to Asian countries though less well described. In this study we reviewed the incidence and outcomes of NK/T NHL in the US with a specific focus on patient race/ethnicity. Methods: Surveillance, Epidemiology and End Results (SEER) database was used to examine the standardized incidence rates (SIR) of NK/T cell NHL among adult (≥18 yrs) patients diagnosed between 1992-2013. Mutually exclusive race/ethnicity categories were: African-Americans (AA), Asians/Pacific Islanders (API), Hispanic whites (HW) and Non-Hispanic whites (NHW). Cases that received a diagnosis at death certificate/autopsy, no follow-up records, or lacking age at diagnosis, sex, or race/ethnicity documentation were excluded. Age adjusted incidence rates (AAIR) were calculated by race. Cox proportional hazards models, adjusted for confounding variables, were used to evaluate association between patient demographics and overall survival (OS). Results: A total of 706 cases met inclusion criteria. Of these, 64% were males and 36% females. AAIR was higher in males irrespective of race/ethnicity. Among different race/ethnic subgroups, API and HW had a higher AAIR than NHW and AA (0.2, 0.18, 0.05 and 0.04, respectively) (Figure 1). Median OS for males and females was similar (1.8 yr and 2 yr, respectively; p=0.76) There was a statistically significant difference in median OS by age for all patients with 4.3 yr for age 18-44 as compared with 0.8 yr for age >75 yr (p<0.001). Median OS by was different for HW (1.3 yr), API (1.8 yr), AA (2.3 yr) and HW (2.5 yr) but did not reach statistical significance (p=0.45). Median OS by stage varied as 7.3 yr for stage IE to 0.9 yr for all other stages combined (p<0.001) Cases with disease location as nasal cavity or sinus had a median OS of 3.5 yr as against 1.1 yr for those with all other sites (p<0.001) (Table 1). Conclusions: Significant disparities exist in the US for NK/T NHL incidence by race and gender, with highest AAIR among the racial minorities of API and HW, which are fastest and second fastest growing minority groups in the US respectively. Increasing age, advanced disease stage and site outside of the nasal cavity or sinus are independent predictors of poor prognosis. Some differences do exist in survival by race. These factors need to be considered for better resource allocation and utilization for this rare, often incurable and aggressive disease. Figure 1 Figure 1. Disclosures Ailawadhi: Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Kelly:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Speakers Bureau; Novartis: Consultancy, Speakers Bureau.

Abstract Regulatory T-cells (TREG) are the gateway to immune function and typically regulate immune cell activation. Cytokines, including interleukin-2 (IL-2), induce T-cell differentiation and promote a regulatory phenotype. Once activated via the IL-2 receptor (IL-2R), a cascade of events in T-cells initiate signal transducer and activator of transcription 5 (STAT5) and Forkhead box P3 (FOXP3) activation which appear to function as important regulators of this immunologic pathway and promote the development and function of TREG cells. In non-Hodgkin lymphoma (NHL), we have found that intratumoral TREG cells are increased in number and suppress immune function. In previous work, we have found that TREG cells inhibit T-cell proliferation, suppress cytokine production and limit effector cell cytotoxicity. We have also shown that increased serum levels of soluble sIL-2Rα is a prognostic factor in NHL and that sIL-2Rα can bind to IL-2 and promote its signaling thereby increasing TREG cell numbers. In this study, we developed a strategy to inhibit the binding of IL-2 to sIL-2Rα with the goal of suppressing the induction of FOXP3 and decreasing TREG cell numbers. To do this, we developed peptides designed to disrupt the interaction between IL2 and sILRα. In collaboration with CMDBioscienceSM, we developed and analyzed 22 peptide compounds derived by structure-based computational design. Initially, we screened each peptide at increasing concentrations using an ELISA assay to test the inhibition of IL-2/IL-2Rα binding by the solubilized peptide. Candidate peptides were then further tested using upregulation of pSTAT5 and FOXP3 in T-cells measured by flow cytometry as a measure of inhibition of IL-2 signaling. The peptides were developed according to different design hypotheses and grouped into different families; the screening ELISA results indicated 4 promising peptides that inhibited IL2/IL2Rα binding (up to 100% inhibition; max peptide concentration of 100uM). These peptides were then used to determine their effect on STAT5 and FOXP3 expression. A lead candidate peptide consistently reduced the expression of FOXP3 and STAT5 expression compared to cells not exposed to peptide. Use of the peptide to disrupt IL-2 signaling inhibited the development of cells with a TREG phenotype. We conclude that structure-based peptide design can be used to identify novel peptide inhibitors that block IL-2/IL-2Rα signaling and inhibit STAT5 and FOXP3 upregulation. These peptides could be used as new therapeutic agents to limit immune suppression by TREG cells and promote a more effective anti-tumor immune response in NHL. Disclosures No relevant conflicts of interest to declare.

Abstract Background: As of 2013, approximately 558,340 people are living with non-Hodgkin lymphoma (NHL). Outcome disparities have been reported in lymphoid malignancies but a comprehensive analysis, especially with expanding ethnic minorities is necessary. We undertook a large Surveillance Epidemiology and End Results (SEER) based analysis to describe outcome disparities in different subgroups of T-cell and B-cell NHL patients (pts), with a focus on various ethnicities. Methods: The SEER 18 Registry data (1973-2011) was utilized for pts with a confirmed diagnosis of T-cell or B-cell NHL. Cases that received a diagnosis at death certificate or autopsy, no follow-up records, no documented age at diagnosis, sex, or race/ethnicity were excluded. Cox proportional hazards models, adjusted for gender, age, race, year (yr) of diagnosis, and stratified by SEER registries were used to evaluate association between pt characteristics and survival. All statistical tests were two-sided and utilized the SAS software (v9.4) with a two-sided significance level of 0.05. Results: The final analysis included 7,662 pts with T-cell NHL and 84,910 pts with B-cell NHL. The pt demographics are shown in Table 1. Pts were stratified based on yr of diagnosis to study the impact of therapeutic developments on pt outcomes (Table 1). Pts were also divided by T-cell NHL subtype: mature T-cell (9702/3) 51%, angioimmunoblastic T-cell (9705/3) 16%, anaplastic large cell (ALCL) (9714/3) 32%, and hepatosplenic gamma-delta cell (HSϒd) (9716/3) 0.8%. Median age at diagnosis was youngest for AA pts (54 yrs) and oldest for Asian pts (65 yrs) (Figure 1 A). Survival analysis revealed that females had a better median OS than males (3.3 yrs vs. 2.3 yrs, HR 0.876; 95% CI 0.824, 0.932; p<0.001). Increasing age was an independent predictor of worse overall survival, with pts age 18-44 having a median OS 9.4 yrs (HR 0.345; 95% CI 0.312, 0.382) and pts age ≥75 having a median OS of 1.0 yr (p<0.001). There was no statistically significant difference seen in median OS for pts with respect to yr of diagnosis (p=0.081). Among the different T-cell NHL subtypes, pts with ALCL had the best (3.8 yrs, HR 0.766; 95% CI 0.714, 0.822) and pts with HSϒd had the worst median OS (0.7 yrs HR 1.959; 95% CI 1.424, 2.695) (p<0.001). AA pts (1.7 yrs, HR 1.292; 95% CI 1.176, 1.419) and Hispanic pts (1.9 yrs, HR 1.215; 95% CI 1.087, 1.357) had significantly worse OS compared to White pts who had the longest median OS (3.1 yrs) (p<0.001) (Figure 1 B). To compare and contrast with aggressive B-cell NHL, similar analyses were performed using diffuse large B-cell (DLBCL) NHL (9680/3). DLBCL showed similar trends regarding sex, age and race. Ethnic minorities had significantly worse median OS including Hispanic (2.8 yrs, HR 1.154; 95% CI 1.111, 1.198) and AA pts (3.3 yrs, HR 1.261; 95% CI 1.212, 1.312) compared to White pts with a median OS of 5.8 yrs (p<0.001). B-cell NHL pts had a significant improvement in median OS over time with pts diagnosed in 2007-2011 having more than 3 times the median OS of pts diagnosed in 1973-1991 (7 yrs vs. 2.4 yrs; p<0.001). Conclusions: Studies of outcome disparities are important for evaluating disease characteristics and their relationship to specific pt populations over time. We have performed the largest population-based analysis for T-cell and B-cell NHL including various ethnicities in the novel therapeutic agent era. We observed that males, older pts and ethnic minorities had worse median OS for both T-cell and B-cell NHL. Despite novel therapeutics targeting T cells there has been no statistically significant improvement in OS over time. In contrast, significant improvement in B-cell NHL OS has been noted, presumably due to the advent of monoclonal antibodies. These results underline the urgency for the development of novel therapeutics as well as aggressive studies of disease biology and healthcare utilization for better triage of healthcare resources, especially for ethnic minorities. Table 1. Table 1. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Limited information existed about the distributions of microbial etiology and drug-resistance with severe community-acquired pneumonia (CAP) in China, partly attributing to the antibiotics abuse in rearing livestock for Chinese farmers in recent decades. Moreover, the relevant guidelines have not been updated for at least a decade.Methods: A prospective observational study was carried out in Zhongshan Hospital (Shanghai, China). All consecutive cases of severe CAP diagnosed in Respiratory intensive care unit (ICU) and Emergency ICU were included. We assessed the microbial etiology features and multidrug-resistance (MDR) status. The risk factors were used by multivariate analyses for outcomes.Results: One hundred and twelve adults with severe CAP in ICUs, mean age of 65.7±15.1 years were studied. Etiological diagnoses were established in 76 (67.9%) cases; Klebsiella pneumoniae was the most frequent pathogen in 27 (35.5%) cases followed by Acinetobacter baumannii (n=15, 19.7%) and Methicillin-resistant Staphylococcus aureus (MRSA) (n=9, 11.8%); While Streptococcus pneumoniae (n=3, 3.9%) was ranked the 6 th in the study. The majority of pathogens were the MDR and the 30-days mortality rate was 43.8% in severe CAP patients. Klebsiella pneumoniae (OR, 6.88; 95%CI, 1.13-41.83), Sequential organ failure assessment (SOFA)≥5(OR, 12.30; 95%CI, 1.79-84.55) was associated to death.Conclusions: The study indicates a change in the usual pattern of microbiol etiology of severe CAP and the MDR emerged in the majority of pathogens over a decade in eastern China. Enhanced control of using antibiotics to reduce the acquired resistance is urgent.

Background: Inotuzumab ozogamicin (InO) is an antibody-drug conjugate composed of anti-CD22 antibody conjugated to the cytotoxic agent calicheamicin, which is approved for relapsed/ refractory (RR) B-cell acute lymphocytic leukemia (ALL), based on efficacy demonstrated in a randomized control trial. We sought to investigate the safety and efficacy of InO in the "real world" setting. Methods: We conducted a retrospective multicenter study in collaboration with 11 U.S. academic institutions, and evaluated the outcome of patients (pts) with RR B-cell ALL, who received InO outside of clinical trials. These pts were evaluated for response to InO, duration of response, overall survival (OS) and toxicity. Demographic and disease characteristics were summarized using descriptive statistics. Survival curves were estimated using the Kaplan-Meier method and compared via log-rank test. Duration of response was estimated among pts who achieve complete remission (CR)/CR with incomplete count recovery (CRi). Results: From June 2016 to May 2019, 84 pts with RR-B cell ALL were identified. Baseline characteristics are summarized in Table 1. The median age of pts at InO initiation was 50 years (yrs) (range, 20-87). Twenty-two (27.5%) pts had t(9;22) (Ph+ve) and 6 (7.5%) pts had t(4;11) (MLL gene) chromosomal abnormalities. Nine (11%) and 20 (25%) pts had CNS disease at diagnosis and at relapse, respectively. Median number of therapies prior to InO was 2 (range, 0-7), 40 (48%) pts had ≥ 3 therapies and 23 (27%) pts had allogeneic stem cell transplantation (allo-HCT) prior to InO. Forty (48%) pts received blinatumomab prior to InO. Fourteen (17%) pts received InO in combination with chemotherapy and/ or tyrosine kinase inhibitor (TKI). Overall response rate (CR/CRi) was 63%; 44% had CR with minimal residual disease (MRD) negativity by flow cytometry. Response rate in Ph+ve B-cell ALL was 73%. Twenty-three (27%) pts were successfully bridged to allo-HCT. Median response duration with InO was 11.5 months (mo); 32.5% had sustained response at 2 yrs (Fig. 1a). Median response duration post InO, censored at allo-HCT was not reached (NR) (51% in remission at 2 yrs) (Fig. 1b). Median OS after InO was 11.6 mo and 32% were alive at 2 yrs (Fig. 1c). Median OS post InO, censored at of allo-HCT was 13.6 mo (Fig. 1d). Median OS after InO in Ph+ve pts was NR (71% alive at 1 yr). Forty-nine percent, 27%, 6% and 5% of pts discontinued InO due to progression, allo-HCT, adverse events and maintenance therapy, respectively. Nineteen (30%) pts had dose interruptions. In terms of toxicities, 14 (17%) and 7 (8%) pts had grade (G)1-2 and G3 transaminases secondary to InO, respectively. One pt each had G2 and G3 pancreatitis, respectively. One (1%) and 2 (2%) pts had G2 and G4 veno-occlusive disease secondary to InO, respectively. Two of these pts were treated with defibrotide. Two (2%) pts died due to InO toxicity. A complete description of adverse events are summarized in Table 1. Conclusion: Our real-world data obtained by multicenter collaboration suggest that InO was well tolerated and had significant efficacy in this heavily treated patient population of RR B-cell ALL. Disclosures Liedtke: Celator: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech/Roche: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; IQVIA/Jazz: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: 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; Caelum: Membership on an entity's Board of Directors or advisory committees; BlueBirdBio: Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees; Agios: Research Funding; Amgen/Onyx: Consultancy, Honoraria, Research Funding. Aldoss:Jazz Pharmaceuticals: Honoraria, Other: travel/accommodation/expenses, Speakers Bureau; Agios: Consultancy, Honoraria; AUTO1: Consultancy; Helocyte: Consultancy, Honoraria, Other: travel/accommodation/expenses. Curran:Incyte: Research Funding; Merck: Research Funding; Gilead: Research Funding. Podoltsev:Celgene: Other: Grant funding, Research Funding; Genentech: Research Funding; AI Therapeutics: Research Funding; Agios Pharmaceuticals: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Blueprint Medicines: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Research Funding; Astellas Pharma: Research Funding; Daiichi Sankyo: Research Funding; Sunesis Pharmaceuticals: Research Funding; Jazz Pharmaceuticals: Research Funding; Pfizer: Research Funding; Astex Pharmaceuticals: Research Funding; CTI Biopharma: Research Funding; Samus Therapeutics: Research Funding; Arog Pharmaceuticals: Research Funding; Kartos Therapeutics: Research Funding; Alexion: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Yang:AstraZeneca: Research Funding; Agios: Consultancy. Mattison:Pfizer: Membership on an entity's Board of Directors or advisory committees. Advani:Pfizer: Honoraria, Research Funding; Amgen: Research Funding; Macrogenics: Research Funding; Glycomimetics: Consultancy, Research Funding; Kite Pharmaceuticals: Consultancy; Abbvie: Research Funding. Atallah:Takeda: Consultancy, Research Funding; Jazz: Consultancy; Helsinn: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Jazz: Consultancy; Helsinn: Consultancy.

BACKGROUND: Angioimmunoblastic T cell lymphoma (AITL) has a unique histological phenotype with a relatively small number of malignant T-cells and an extensive infiltrate of normal cells including T-cells, B-cells, NK cells and FDCs. The malignant cell has a T follicular helper (Tfh) cell phenotype with increased expression of immune checkpoint molecules including PD-1 and ICOS. With the routine use of antibodies targeting immune checkpoint molecules, clinical results in limited numbers of AITL patients have thus far been mixed with some responding patients but also some who rapidly progress. Because both malignant T-cells and normal T-cells in AITL may be PD-1 positive, we conducted a study to compare the phenotype of normal T-cells and malignant T-cells within the tumor microenvironment. We also evaluated whether soluble immune checkpoint molecules in the peripheral blood differed between AITLs, controls, and other PTCL subgroups. METHODS: We designed a novel CyTOF antibody (Ab) panel comprised of 37 markers to identify and characterize cells of T, B, NK, macrophage and FDC lineages within a cohort of biopsy specimens from 6 AITL patients compared to 6 normal controls (2 LN, 4 tonsil). Soluble immune receptors and ligands were then measured by multiplex ELISA on peripheral blood from 8 AITLs, 5 controls, and 32 additional samples from PTCL subtypes including PTCL-NOS, ALCL and CTCL. RESULTS: Malignant T-cells in AITL specimens could clearly be identified by viSNE mapping based on CyTOF expression of CD4, CD5, BCL6, CD10 (variable), CXCR5 (variable), PD-1 and ICOS. Aberrant loss of CD3 and CD7 on malignant T-cells was commonly seen. Expression of other immune checkpoint molecules was assessed. Malignant cells expressed high levels of TIGIT and moderate levels of CD27, but malignant T-cell populations were negative for expression of TIM3, LAG3, and CTLA-4. A substantial proportion of normal T-cells also expressed immune checkpoint molecules including PD-1 and CD27, and a subset of these cells also expressed TIGIT and ICOS. A small minority of normal T-cells expressed TIM3, LAG3, and CTLA-4. As others have described, the normal Tfh cell population had an immunophenotype that was otherwise relatively similar to the malignant population, but distinguishable via viSNE mapping with our CyTOF Ab panel. Expression of PD-L1 could be detected on NK-cells, macrophages, and a few select populations of normal T cells, but not on B-cells or FDCs. Malignant T-cells did not express PD-L1. Due to the potential importance of immune checkpoint molecules in this disease, we then measured soluble checkpoint receptors and ligands in the serum. Soluble PD-1 was significantly increased in the peripheral blood of AITL when compared to normal controls (average 2637 pg/mL (SE = 512.1) in AITL vs 57.87 (SE = 16.88) in controls). Similarly, soluble PD-L1 was significantly increased in AITL compared to normal controls (13.8 (SE = 10.5) in AITL vs 0.94 (SE = 0.25) in controls). CONCLUSIONS: Malignant T-cells in AITL have a unique phenotype which was able to be reliably identified through use of viSNE mapping with our CyTOF Ab panel. Furthermore, malignant T-cells were found to consistently express additional immune regulatory molecules beyond PD-1 and ICOS, including TIGIT and CD27. However, a substantial subset of normal T-cells have a very similar phenotype suggesting that activation of T-cells in this disease will likely stimulate both normal and malignant T-cells. This may explain the rapid disease progression seen in a subset of AITL patients treated with PD-1 blockade. Furthermore, soluble PD-1 is significantly increased in the serum of AITL patients and may explain the overall lack of clinical efficacy of anti-PD-1 antibodies in treating AITL. Disclosures Cerhan: NanoString: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding. Ansell:LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; Trillium: Research Funding; Trillium: Research Funding; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; Affimed: Research Funding; Mayo Clinic Rochester: Employment; LAM Therapeutics: Research Funding; Affimed: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Trillium: Research Funding; Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; LAM Therapeutics: Research Funding.

Background: Transthyretin amyloidosis cardiomyopathy (ATTR-CM) is a life-threatening, irreversible condition, which can lead to heart failure (HF) and, ultimately, heart transplant or death. Despite the recent approval in United States of a TTR stabilizer (VYNDAQEL®-tafamidis meglumine;VYNDAMAX™-tafamidis) for the treatment of ATTR-CM, disease progression still occurs. This study aims to determine if treatment with AKCEA-TTR-LRx (ION-682884), an antisense oligonucleotide (ASO), is safe and superior to placebo in reducing the risk of cardiovascular (CV) death or CV clinical events in patients with hereditary (hATTR-CM) or wild-type ATTR-CM (wtATTR-CM). Study Design and Methods: AKCEA-TTR-LRx (ION-682884) is a follow-on compound that incorporates the Ligand-Conjugated Antisense (LICA) technology; in this case, a triantennary N-acetyl galactosamine (GalNAc) moiety which targets the asialoglycoprotein receptors (ASGPR) expressed abundantly on the hepatocyte cell surface. In comparison to inotersen, its parent compound, ION-682884 requires a lower dose and frequency of administration (27-fold smaller; 45mg SC Q4W) to achieve a similar reduction in ATTR, providing greater patient convenience. ION-682884-CS2 (EudraCT No: 2019-002835-27) is a Phase 3 global, double-blind, randomized, placebo-controlled study assessing the efficacy and safety of AKCEA-TTR-LRx (ION-682884) in hATTR-CM or wtATTR-CM patients receiving available background standard of care (SoC) therapy. Approximately 750 patients with a history of HF due to ATTR-CM will be randomized 1:1 to receive AKCEA-TTR-LRx (ION-682884) or placebo administered by subcutaneous injection once every 4 weeks. The main inclusion criteria include confirmed diagnosis of ATTR-CM by tissue biopsy or positive PYP/DPD scan, end-diastolic interventricular septum thickness of >12mm, NT-proBNP >600 pg/mL, NYHA class I-III and 6-minute walk distance (6MWD) >150 m. The main exclusion criteria include estimated glomerular filtration rate (eGFR) < 30 mL/min/1.73m2, platelet count below the low limit of normality and urine protein/creatinine ratio (UPCR) ≥ 1000 mg/g. Patients are allowed to concomitantly receive tafamidis/tafamidis meglumine as SoC for ATTR-CM, if locally approved and available, per physician's discretion. The study consists of a 120-week Treatment Period and a 20-week Post-Treatment Evaluation Period. During each study visit, subjects will undergo laboratory tests, cardiac assessments (echocardiography), and functional evaluations. Patient-reported outcomes (PRO) will also be collected. Primary efficacy endpoint is the composite of CV mortality and frequency of CV clinical events (HF-related urgent visits requiring administration of IV diuretics and/or CV-related hospitalizations) at Week 120 study visit, analyzed by the Finkelstein-Shoenfeld method. This test is based on the principle of each patient in the study being compared with every other patient in a pairwise manner in hierarchical fashion. Secondary endpoints include the change from baseline in the 6MWD, Kansas City Cardiomyopathy Questionnaire score, rate of CV mortality, CV clinical events, and all-cause of mortality at Week 120. Additional exploratory endpoints include a change from baseline in cardiac imaging parameters, renal function, biomarkers, and PROs questionnaires and disease scores. An interim analysis on change from baseline in 6MWD is also planned at Week 60. All deaths and CV clinical events will be adjudicated by an independent, blinded Clinical Adjudication Committee, using predefined endpoint criteria. Conclusions: Despite recent advances, there is still a need for more efficacious, safe and convenient treatment options for ATTR-CM. The ION-682884-CS2 is a large Phase 3 trial designed to evaluate the clinical efficacy and safety of AKCEA-TTR-LRx (ION-682884) compared to placebo for the treatment of ATTR-CM. Figure Disclosures Falk: Ionis Pharmaceuticals: Consultancy. Gertz:Ionis/Akcea: Consultancy; Alnylam: Consultancy; Proclara: Membership on an entity's Board of Directors or advisory committees; Prothena Biosciences Inc: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Spectrum: Consultancy, Research Funding; Annexon: Consultancy; Appellis: Consultancy; Amgen: Consultancy; Medscape: Consultancy, Speakers Bureau; 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; i3Health: Other: Development of educational programs and materials; Springer Publishing: Patents & Royalties; Amyloidosis Foundation: Research Funding; International Waldenstrom Foundation: Research Funding. Benson:Ionis Pharmaceuticals: Research Funding. Buchele:Ionis Pharmaceuticals: Employment. Brambatti:Ionis Pharmaceuticals: Employment. Tsimikas:Ionis Pharmaceuticals: Employment. Viney:Ionis Pharmaceuticals: Employment. Tai:Ionis Pharmaceuticals: Employment. Monteiro:Ionis Pharmaceuticals: Employment. Yang:Ionis Pharmaceuticals: Employment. O'Dea:Akcea Therapeutics: Employment. Karwatowska-Prokopczuk:Akcea Therapeutics: Employment. Schneider:Ionis Pharmaceuticals: Employment. Geary:Ionis Pharmaceuticals: Employment. Monia:Ionis Pharmaceuticals: Employment.

Background: Multiple myeloma (MM) is a heterogeneous disease with varying survival outcomes depending on the presence of certain genetic abnormalities. Common abnormalities include trisomies, translocations involving the chromosome 14, and amplifications or deletions of chromosomes 1, 13, and 17. t(11;14), occurring in 15% of patients with myeloma, had been considered a standard risk abnormality, but recent data suggest inferior outcome. This is important as new therapeutic options such as the BCL-2 inhibitor venetoclax has been shown to be particularly effective in t(11;14) patients. Methods: This was a multicenter study to identify the outcomes of patients with t(11;14), using a retrospectively assembled cohort. Patients with MM diagnosed between 2005 and 2015 with t(11;14) identified on FISH performed within six months of diagnosis, and with treatment details available and if alive, a minimum of 12 months of follow up, were enrolled. Results: The current analysis includes 1216 patients; median age of 62.56 years; 58.7% male. The median follow-up from diagnosis for the entire cohort was 51.9 months; 69.1% of the patients were alive at the last follow up. ISS stage distribution included: Stage I (35.7%), Stage II (34.0%) and Stage III (15.1%), data was missing for the rest. The distribution of concurrent FISH abnormalities included: trisomies (3.5%), del 13q (13.3%), 1q amp (8.8%), and del 17p or monosomy 17 (5.8%). Initial regimen included: 27.2% had an immunomodulatory (IMiD), 45.9% had a proteasome inhibitor (PI), 17.7% had both, and 9.0% had no novel agent. The drug classes by line of therapy are shown in Table 1. An early stem cell transplant (defined as within 12 months of start of first line treatment) was used in 49.4% of patients. The median time to next treatment (TTNT) after starting initial treatment was 26.6 (95% CI: 23.9 to 29.2) months. The median overall survival (OS) from diagnosis for the entire cohort was 95.1 (95% CI: 85.9 to 105.9) months; 4-year estimates for those diagnosed from January 2005 to December 2009, and from January 2010 to December 2014 were 77.5% and 78.6%, respectively. The median OS for those with any one high risk FISH lesion (del 17p/ 1q amp) was 67.5 (55.2, 97.1) versus 101.7 (89.7, 107.3) months. Patients with early SCT (within 12 months of diagnosis) had better OS: 108.3 (103.8, 133.0) vs. 69.8 (61.5, 80.3) months. Conclusion: Patients with t(11;14) without high risk FISH abnormalities have an excellent survival. Patients receiving a PI + IMiD combination and those receiving autologous SCT as part of initial therapy had best survival. Though numbers are limited, patients in the later lines receiving newer drugs such as venetoclax and daratumumab had high response rates and durable responses. Disclosures Kumar: Celgene: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Takeda: Research Funding. Bittrich:Celgene: Other: Travel Funding, Research Funding; Else Kröner Fresenius Foundation: Research Funding; Otsuka Pharmaceuticals Europe: Other: N/A; SANOFI Aventis: Membership on an entity's Board of Directors or advisory committees, N/A, Research Funding; University Hospital Wuerzburg: Employment; Bristol Myers Squibb: Research Funding; Pfizer: Other: Travel Funding; AMGEN: Other: Travel Funding; JAZZ Pharmaceuticals: Other: Travel Funding; Wilhelm Sander Foundation: Research Funding; German Research Foundation (DFG): Other: N/A; University of Würzburg: Other: N/A. Goldschmidt:Mundipharma: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; John-Hopkins University: Research Funding; Dietmar-Hopp-Stiftung: Research Funding; Janssen: Consultancy, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MSD: Research Funding; Molecular Partners: Research Funding; John-Hopkins University: Research Funding; Amgen: Consultancy, Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Chugai: Honoraria, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding. Reece:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Otsuka: Research Funding; Amgen: Consultancy, Honoraria, Research Funding; BMS: Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Merck: Research Funding. Mateos:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmamar: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; Adaptive: Honoraria; EDO: Membership on an entity's Board of Directors or advisory committees. Ludwig:Celgene: Speakers Bureau; Amgen: Research Funding, Speakers Bureau; Takeda: Research Funding, Speakers Bureau; PharmaMar: Consultancy; Janssen: Speakers Bureau; BMS: Speakers Bureau. Mangiacavalli:celgene: Consultancy; Amgen: Consultancy; Janssen cilag: Consultancy. Dimopoulos:Sanofi Oncology: Research Funding. Kastritis:Amgen: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Takeda: Honoraria; Pfizer: Honoraria; Prothena: Honoraria; Genesis: Honoraria. Yee:Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Karyopharm: Consultancy; Adaptive: Consultancy. Raje:Amgen Inc.: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene Corporation: Consultancy; Takeda: Consultancy; Janssen: Consultancy; Merck: Consultancy. Rosta:Cornerstone Research Group: Employment. Haltner:Cornerstone Research Group: Employment. Cameron:Cornerstone Research Group: Employment, Equity Ownership. Durie:Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy.

Background Blinatumomab is a bispecific T cell antibody construct, that binds and allows CD-3 positive cytotoxic T cells to recognize and eradicate CD19-positive acute lymphocytic leukemia (ALL) blasts. The drug is approved for patient (pts) with relapsed/ refractory (RR) B-cell ALL and those with minimal residual disease (MRD) based on efficacy in clinical trials. We sought to evaluate the safety and efficacy of blinatumomab in the "real world" setting. Methods We conducted a retrospective multicenter study in collaboration with 11 U.S. academic institutions, and evaluated the outcome of RR B-cell ALL pts, who received blinatumomab outside of clinical trials. These pts were evaluated for response, duration of response (DOR), overall survival (OS) from the time of blinatumomab initiation and toxicity. DOR was estimated among pts who had achieved complete remission (CR)/CR with incomplete count recovery (CRi). Survival curves were estimated using the Kaplan-Meier method and compared via log-rank test. Results From December 2014 to May 2019, 239 pts with B-cell ALL were identified. Baseline characteristics are summarized in Table 1. The median age of pts at blinatumomab initiation was 48 years (yrs) (range, 18-85). Sixty-one (26%) pts had Philadelphia chromosome [t(9;22)] positive (Ph+ve) disease. Sixty-one (26%) pts had ≥ 3 prior therapies and 46 (19%) pts had allogeneic stem cell transplantation (allo-HCT) prior to blinatumomab. Twenty-two (9%) pts received inotuzumab ozagamicin prior to blinatumomab. Twenty-nine (12%) pts received blinatumomab in combination with tyrosine kinase inhibitor (TKI). Twelve (5%) pts received blinatumomab for MRD. Response rate (CR/CRi) in pts with RR disease was 61%; 44% had CR with MRD negativity by flow cytometry. Rate of CR/CRi in Ph+ve B-cell ALL was 74.5%. Among 12 pts who received Blinatumomab for MRD, 9 (75%) pts achieved MRD negativity. Overall 113 (48%) pts were successfully bridged to allo-HCT. Median DOR in pts with RR disease was 32.1 months (95% CI; 9.5-not reached [NR]) (Fig. 1a) and when censored at allo-HCT was 14.8 months (95% CI; 5.2-NR) (Fig. 1b). Median OS in pts with RR disease after blinatumomab was 12.7 months (95% CI; 9.2 -17.9) (Fig. 1c) and when censored at allo-HCT was 8.6 months (95% CI; 6.4-11.6) (Fig.1d). Median OS after blinatumomab in RR B-cell ALL Ph+ve pts was NR (59% alive at 2 yr). Among pts who received blinatumomab for MRD, median DOR was NR and 54% sustained MRD negativity at 2 yrs. Median OS was 34.7 months (95% CI; 8.8-34.7) in group of pts who received blinatumomab for MRD. Seven (3%) pts discontinued blinatumomab due to adverse events and 40 (21%) pts had dose interruptions. Cytokine release syndrome (CRS) of any grade (G) was reported in higher number of pts (93 [39%]) compared to clinical trials, though G3-4 CRS appears to be similar (G1-2 [36%], G3-4 [3%]). Forty-four (44%) pts were treated with steroids and 8 (8%) pts required tocilizumab with steroids for CRS. Ninety-three percent of pts had complete resolution of CRS. CNS toxicities were observed in 31 (13%) pts, among them 60% (n= 19) had G3-4 toxicities. Hepatic toxicities were observed in 84 (35%) pts as outlined in Table 1. Six (2.5%) pts died due to blinatumomab induced toxicities. Conclusion: Our real-world data with multicenter collaboration suggest that overall blinatumomab was well tolerated and had led to significant response in pts with RR B-cell ALL. Disclosures Advani: Amgen: Research Funding; Abbvie: Research Funding; Pfizer: Honoraria, Research Funding; Macrogenics: Research Funding; Kite Pharmaceuticals: Consultancy; Glycomimetics: Consultancy, Research Funding. Aldoss:AUTO1: Consultancy; Helocyte: Consultancy, Honoraria, Other: travel/accommodation/expenses; Agios: Consultancy, Honoraria; Jazz Pharmaceuticals: Honoraria, Other: travel/accommodation/expenses, Speakers Bureau. Podoltsev:Agios Pharmaceuticals: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Blueprint Medicines: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Boehringer Ingelheim: Research Funding; Astellas Pharma: Research Funding; Alexion: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Research Funding; Sunesis Pharmaceuticals: Research Funding; Jazz Pharmaceuticals: Research Funding; Pfizer: Research Funding; Astex Pharmaceuticals: Research Funding; CTI Biopharma: Research Funding; Celgene: Other: Grant funding, Research Funding; Genentech: Research Funding; AI Therapeutics: Research Funding; Samus Therapeutics: Research Funding; Arog Pharmaceuticals: Research Funding; Kartos Therapeutics: Research Funding. Curran:Incyte: Research Funding; Merck: Research Funding; Gilead: Research Funding. Yang:Agios: Consultancy; AstraZeneca: Research Funding. Mattison:Pfizer: Membership on an entity's Board of Directors or advisory committees. Liedtke:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; IQVIA/Jazz: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech/Roche: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celator: Research Funding; Caelum: Membership on an entity's Board of Directors or advisory committees; BlueBirdBio: Research Funding; Amgen/Onyx: Consultancy, Honoraria, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees; Agios: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Atallah:Helsinn: Consultancy; Takeda: Consultancy, Research Funding; Jazz: Consultancy; Pfizer: Consultancy; Helsinn: Consultancy; Novartis: Consultancy; Jazz: Consultancy.