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BACKGROUND: CMML is a myelodysplastic/myeloproliferative neoplasm with a median survival of 32 months and no therapies that improve its natural history. We have previously demonstrated that CMML bone marrow mononuclear cells (BMNCs) are hypersensitive to GM-CSF and that the GM-CSF axis is a viable therapeutic target (Padron et al., Blood 2013). Lenzilumab is a novel, humaneered IgG1κ monoclonal antibody, with high affinity for human GM-CSF that has activity in preclinical models of CMML. We report a Phase 1 clinical trial testing the safety and preliminary efficacy of this agent in CMML. METHODS: The study was approved by scientific and ethical review boards. This was a multicenter Phase 1 study designed to evaluate the safety and determine the recommended phase 2 dose of lenzilumab in subjects with CMML. Dose escalation proceeded using a standard 3+3 study design to determine the maximum tolerated dose (MTD). Three dose cohorts included 200 mg, 400 mg, and 600 mg, were given IV on day 1 and 15 of cycle 1 and then only on day 1 of subsequent 28-day cycles. Key inclusion criteria included a WHO-defined diagnosis of CMML and a platelet count greater than 20 x103 cells/dL. Response was evaluated utilizing the MDS/MPN International Working Group Criteria (Savona Blood 2015). Pharmacokinetic analysis and pharmacodynamics were evaluated by pSTAT5 by flow cytometry. RESULTS: Between July 2016 and June 2018, a total of 15 patients were enrolled. The median age at study entry was 74 years (range 52-85) and 80% were male. Nine patients were classified as CMML-0, 3 as CMML-1, and 3 as CMML-2. Seventy three percent of patients had normal cytogenetics or -Y. The most commonly mutated genes at screening included TET2 60%, ASXL1 53%, SRSF2 47%, and RAS pathway (i.e. NRAS or CBL) mutations 40%. Nine patients were previously treated with hypomethylating agents and/or experimental therapies, 3 were treated with hydroxyurea only, and 3 were untreated. The mean Hgb was 9.7g/dL (7.6-14g/dL), the mean platelet count was 147 x103 cells/dL (16-942 x103 cells/dL), and 66% of cases were MPN-CMML by the French-American-British classification at study entry. Three patients were enrolled at each dose level and an additional 6 patients were enrolled at 600mg as planned. Consistent with prior studies of lenzilumab, no dose limiting toxicities were identified and no treatment emergent grade 3 or 4 toxicities were reported. The mean duration on therapy was 221.8 days (14-787 days) and the majority of patients discontinued study drug because of disease progression or lack of response (69%). Five of 15 (33%) patients enrolled achieved clinical benefit by MDS/MPN IWG criteria with 3 platelet responses, 1 neutrophil response, and 1 spleen response. An additional patient had bone marrow myeloblast reduction from 6% to 1% which allowed that patient to undergo allogeneic stem cell transplantation. Clinical response was not statistically associated with somatic mutations or changes in pSTAT5 between screening and cycle 3. However, 3 of 4 patients with NRAS mutation achieved clinical benefit or had clinical meaningful bone marrow myeloblast reductions. CONCLUSION: Lenzilumab is well tolerated in patients with CMML, with no grade 3 or 4 treatment emergent adverse events or DLTs reported. Durable clinical benefit was achieved in 33% of patients and one patient was bridged to allogenic transplant, providing proof of concept that GM-CSF inhibition has activity in CMML. The favorable safety and activity profile of lenzilumab warrants future evaluation as part of a combination regimen targeted to specific subtypes more likely to respond, including patients with NRAS mutations. Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees. Sallman:Celgene: Research Funding, Speakers Bureau; Celyad: Membership on an entity's Board of Directors or advisory committees; Incyte: Speakers Bureau; Abbvie: Speakers Bureau; Novartis: Speakers Bureau; Jazz: Research Funding. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding. Komrokji:celgene: Consultancy; Agios: Consultancy; JAZZ: Consultancy; Novartis: Speakers Bureau; JAZZ: Speakers Bureau; pfizer: Consultancy; DSI: Consultancy; Incyte: Consultancy. Lo:Humanigen: Employment. Durrant:Humanigen: Employment. Chappell:Humanigen: Employment. Ahmed:Humanigen: Employment. List:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding.

CMML is a lethal myeloid neoplasm with no therapies that improve its dismal prognosis. Inhibition of BET family members has been proposed as a therapeutic strategy based on preclinical data identifying BRD4 as a therapeutic target in acute myeloid leukemia. However, despite potent on-target transcriptional remodeling, early phase clinical trials have demonstrated only modest activity secondary to a variety of resistance mechanisms. In ovarian cancer BET inhibitor (BETi) treated cells, compensatory upregulation and addiction to pro-survival kinase networks have been observed. Given that over 50% of CMML cases have mutations upregulating kinase signaling, we hypothesized that BETi resistance is mediated by these networks in CMML and can be targeted therapeutically. We tested this hypothesis by performing a limited screen of kinase inhibitors alone and in combination with the IC20 of the BETi INCB54329 in 8 human leukemia cell lines. This screen revealed that the IC50 of the PIM inhibitor (PIMi) INCB53914 decreased after co-treatment with BETi in a majority of the leukemia cell lines tested. Synergy was validated chemically in U937, TF1 and SKM1 leukemia cells using other selective inhibitors of BET and PIM. We next assessed the activity of the BET-PIM combination in 14-day colony formation assays with 10 unique CMML bone marrow mononuclear cell (BM-MNCs) patient samples(Fig. 1A). These studies revealed that combination therapy significantly suppressed clonogenicity versus BMNCs treated with vehicle or single drug alone. Finally, this synergy was validated in vivo in 36 patient derived xenografts (PDX) from 3 CMML patients, as manifest by reduced leukemic burden/engraftment in CMML PDX treated with combination therapy(Fig. 1B). To explore the mechanism by which BETi and PIMi therapeutically synergize we treated U937 and SKM1 leukemia cells with INCB54329 and measured mRNA and protein levels for all PIM isoforms. Surprisingly, we identified that PIM1 was increased following treatment with INCB54329, other BETi, or a JQ1-derived PROTAC (Fig. 1C). PIM1 upregulation was also manifest in INCB54329 persistor U937 leukemia cells generated by daily BETi treatment for 6 weeks. Testing across a broader panel of leukemia cell lines revealed an inverse correlation between PIM1 induction and decrease in the IC50 of PIMi following BETi treatment, suggesting PIM1 upregulation confers sensitivity to combination therapy. Consistent with this, isogenic SKM1 leukemia cells engineered to overexpress PIM1 were resistant to INCB54329 and were more sensitive to INCB53914 versus controls cells. Recent studies have demonstrated that inhibitory miRNAs, especially those located near super-enhancers, are suppressed by BET inhibition. Given that several miRNAs are known to control PIM1 expression, we hypothesized that paradoxical PIM1 upregulation following BETi treatment was due to down-regulation of select miRNAs. To test this, we treated our leukemia cell models with broad inhibitors of miRNA activity (i.e., AGO and Dicer inhibitors) and observed a dose dependent increase in PIM1 levels similar to that seen with BET inhibition(Fig. 1Di). Further, integrating public H3K27 CHIP-seq and miRNA super enhancer datasets and using computational prediction algorithms, we identified 6 candidate miRNAs that could regulate PIM1 and were predicted to be controlled by BET inhibitors. Of these, only miR-33a levels were reduced in a dose dependent manner in SKM1 cells by BETi treatment(Fig. 1Dii). This was confirmed by genetically silencing all BET proteins, which suppressed miR-33a levels in SKM1 leukemia cells. Finally, miR-33a mimics (but not control miRNAs) abolished BETi-induced upregulation of PIM1(Fig. 1Diii). Collectively, these studies established BET and PIM inhibition as a novel and potent combination therapy for CMML that is mediated by miR-33a-dependent upregulation of PIM1(Fig. 1E). Disclosures Liu: Incyte Corporation: Employment. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees. Lancet:Daiichi Sankyo: Consultancy, Other: fees for non-CME/CE services ; Agios, Biopath, Biosight, Boehringer Inglheim, Celator, Celgene, Janssen, Jazz Pharmaceuticals, Karyopharm, Novartis: Consultancy; Pfizer: Consultancy, Research Funding. Komrokji:Novartis: Speakers Bureau; JAZZ: Speakers Bureau; JAZZ: Consultancy; Agios: Consultancy; Incyte: Consultancy; DSI: Consultancy; pfizer: Consultancy; celgene: Consultancy. Epling-Burnette:Incyte Corporation: Research Funding. List:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Haura:Incyte Corporation: Research Funding. Reuther:Incyte Corporation: Research Funding. Koblish:Incyte Corporation: Employment.

Abstract CONTEXT AND OBJECTIVE: Refractory anemia with ring sideroblasts and thrombocytosis (RARS-T) is a provisional entity included in the MDS/MPN overlap syndromes, with features of refractory anemia with ring sideroblasts (RARS) and thrombocytosis (platelet count ³ 450 x 10/L), recently renamed MDS/MPN with ring sideroblasts and thrombocytosis. Management of RARS-T is extrapolated from MDS and MPN treatment options namely for alleviating symptoms of anemia and, occasionally, for thrombocytosis. Individual case reports have suggested that lenalidomide may be effective in treating RARS-T. In non-del 5q, low-risk MDS, 25% of patients (pts) became red blood cell transfusion independent (RBC-TI). In the phase II study of lenalidomide in non-del 5q lower risk MDS, 35% of pts with RARS treated with lenalidomide achieved RBC-TI. The primary objective of this study is to evaluate a series of pts with RARS-T and compare hematological improvement (HI) responses among different treatment options. METHODS: This is a retrospective, single-center study. Patients with RARS-T were identified from the MDS Database at Moffitt Cancer Center. Samples for somatic mutation testing were obtained at time of referral. Descriptive statistics were used to describe baseline characteristics and response rates to treatment. The primary endpoint was HI using international working group criteria (IWG) 2006. The median overall survival (OS) was calculated from time of diagnosis. RESULTS: We identified 33 pts with RARS-T. The mean age was 67 years (38-80), 15 pts were male (45.5%), and majority were Caucasians (n=27, 82%). According to international prognostic scoring system (IPSS), 24 patients (73%) were low risk and 9 pts (27%) were int-1 risk. By revised IPSS, 11 pts (33%), 18 (55%), 3 (9%), and 1 (3%) were very low, low, intermediate, and high risk, respectively. The mean WBC was 7.7 (2.8-25.7), the mean Hemoglobin was 9.9 g/dl (7.3-12.4), and the mean platelet count was 682 (372-1644). Among 20 pts who had Next generation sequencing for somatic mutations at time of referral, 19 pts (95%) had SF3B1 mutation and 4 pts (20%) had JAK-2 V617 F mutation. The median OS was 90 mo (95% CI 47-134). For pts with JAK-2 V617F mutations, the median OS was 110 mo versus 74 mo for those with wild type (p=0.24). The rate of AML transformation was 3% (one patient only). Among the 33 pts, 8 pts had no treatment (observation only), 22 pts (67%) received erythroid stimulating agent (ESA) prior to any active therapy, 2 patients received lenalidomide with no prior ESA, and 1 pt ruxolitinib with no prior ESA. Twelve pts (36%) received lenalidomide (7 as first line active therapy after ESA and 2 without prior ESA exposure) and 13 pts (33%) received azacitidine (6 as first line active therapy after ESA). The HI rate for ESA was 36% (12/22) with a median duration of ESA treatment of 33mo. The HI rate for lenalidomide was 50% (6/12) with a median duration of lenalidomide treatment of 10.3mo. Among the 9 pts who received lenalidomide as first line active therapy (2 pts without prior ESA exposure) HI rate was 56%. The HI rate for azacitidine was 15% (2/13) with a median duration of azacitidine treatment of 6.3mo. CONCLUSIONS: Pts with RARS-T had favorable outcomes, with long overall survival and a low rate of AML transformation. Rates of hematological improvement with the use of azacitidine were lower than expected. Lenalidomide is an effective treatment option and should be considered when treating patients with RARS-T. Figure. Figure. Disclosures Sallman: Celgene: Research Funding, Speakers Bureau. List:Celgene: Research Funding. Komrokji:Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau.

Abstract Introduction: Allogeneic hematopoietic stem cell transplantation (HCT) is the only curative therapy for myelofibrosis (MF). Consideration of HCT is recommended by international working groups and national guidelines for MF patients (pts) age <70 with intermediate-1 with adverse indicators, intermediate-2 or high-risk disease by the Dynamic International Prognostic Scoring System (DIPSS) for MF- a recommendation made in the absence of clear data indicating the optimal timing of HCT for MF. In this large multicenter retrospective study, we analyze overall survival in MF pts treated with and without HCT. Methods: Disease characteristics, treatments, and outcome data from MF pts receiving non-transplant therapy at 14 US academic medical centers between 2000-2014 were retrospectively collected. MF pts who underwent HCT were identified from the Center for International Blood and Marrow Transplant Research (CIBMTR). The Cox proportional hazards model was used. The reference time point (time zero) was time of referral for the non-transplant (non-HCT) arm and the time of transplant for the HCT arm. The main effect variable (HCT vs. non-HCT) violated the proportionality assumption where comparing to non-HCT, mortality was higher with HCT in early time period from time zero but then was lower in late time period; therefore, the comparison is presented as early time period and late time period. The Cox model identified 14 months from time zero as the ideal cut point to define early and late time periods. The proportionality assumption is satisfied within each of these two periods. Results: A total of 1377 and 551 pts were included in the non-HCT and HCT arms, respectively (Table 1). In the overall cohort, survival was higher with non-HCT vs. HCT in early time period (relative risk [RR]: 0.34, P< .0001, Figure 1D), but in late time period survival was lower with non-HCT vs. HCT (RR: 2.37, P< 0.001) (Table 2). In the DIPSS low-risk MF group, while survival was higher with non-HCT vs. HCT in the early time period (RR: 0.19, P=0.007, Figure 1A), survival was lower with non-HCT in the late time period, but the latter did not reach statistical significance (RR: 1.45, P=0.39). In the DIPSS intermediate-1 risk group, a survival advantage was present with non-HCT treatments vs. HCT in the early time period (RR: 0.27, P < .0001, Figure 1B), however survival was lower with non-HCT in the late time period (RR: 3.13, P < .0001). Similarly, in those with DIPSS intermediate-2 and high-risk MF, survival advantage was observed with non-HCT in the early time period (RR: 0.41, P< .0001, Figure IC), but survival was lower with non-HCT in the late time period (RR: 2.82, P < .0001). Conclusion: A long-term survival advantage with transplant was observed for pts with intermediate-1 or higher risk MF, but at the cost of potential early mortality. The magnitude of benefit increased as DIPSS risk score increased. Although this retrospective study has limitations, the results have an impact on clinical practice by suggesting that transplantation could be considered earlier in the disease course and supports the recommendation for consideration of HCT in the setting of intermediate-1 risk MF. Disclosures Gowin: Incyte: Consultancy, Other: Scientific Advisory Board, Speakers Bureau. Verstovsek:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Incyte: Consultancy; Italfarmaco: Membership on an entity's Board of Directors or advisory committees. Ali:Incyte Corporation: Membership on an entity's Board of Directors or advisory committees. Gupta:Novartis: Consultancy, Honoraria, Research Funding; Incyte: Research Funding. Gerds:Celgene: Consultancy; Apexx Oncology: Consultancy; CTI Biopharma: Consultancy; Incyte: Consultancy.

Abstract Background Myelodysplastic syndromes (MDS) and chronic myelomonocytic leukemia (CMML) are mainly diagnosed based on morphological changes in the bone marrow. The diagnosis can be challenging in patients (pts) with pancytopenia with minimal dysplasia, and is subject to inter-observer variability. Somatic mutations can be identified in either disease but no genes, in isolation or in combination, are specific for disease phenotype. We developed a geno-clinical model that uses mutational data, peripheral blood values, and clinical variables to predict an MDS vs. CMML diagnosis in pts who presented with cytopenias, in the absence of bone marrow biopsy results. Method We combined genomic and clinical data from 1897 pts treated at our institution (593) and the Munich Leukemia Laboratory (1304). Pts were diagnosed with MDS or CMML according to 2008 WHO criteria. Diagnosis of MDS and CMML was confirmed by independent hematopathologists that were not associated with the study. A genomic panel of 40 genes commonly mutated in myeloid malignancies was included. The initial cohort was randomly (computer generated) divided into learner (80%) and validation (20%) cohorts. Multiple machine learning algorithms were applied to predict the phenotype. Feature extraction algorithms were used to extract genomic/clinical variables that impacted the algorithm decision and to visualize the impact of each variable on phenotype. Prediction performance was evaluated according to the area under the curve of the receiver operator characteristic (ROC-AUC) and confusion/accuracy matrices. Results Of 1897 pts included, 1368 pts had MDS and 529 had CMML. The median age for the entire cohort was 72 years (range, 11-102); 37% were female. The median white blood cell count (WBC) was 5.1x109/L (range, 0.60-176), absolute monocyte count (AMC) 0.19 x109/L (range, 0-96), absolute lymphocyte count (ALC) 0.77x109/L (range, 0-62), absolute neutrophil count (ANC) 2.44x109/L (range, 0-170), hemoglobin (Hgb) 10.2 (range, 3.9-19.6), and platelet (Plt) count 111x103/mL (range 2-1491). The most commonly mutated genes in all pts were: TET2 (33%), ASXL1 (26%), SF3B1 (21%), SRSF2 (16%), RUNX1 (12%), DNMT3A (10%), CBL (7%), U2AF1 (7%), STAG2 (6%), EZH2 (6%), ZRSR2 (6%), NRAS (6%). In CMML, they were: TET2 (51%), ASXL1 (43%), SRSF2 (25%), RUNX1 (18%), CBL (16%), KRAS (12%), NRAS (11%), EZH2 (9%), JAK2 (6%), U2AF1 (5%), SF3B1 (4%), and DNMT3A (3%). In MDS, they were: TET2 (27%), SF3B1 (24%), ASXL1 (21%), SRSF2 (13%), DNMT3A (12%), RUNX1 (10%), STAG2 (8%), U2AF1 (8%), ZRSR2 (7%), TP53 (7%), BCOR (5%), and EZH2 (5%).The median total number of mutations/sample was 2 (range 0-27) for all pts, 2 (range 0-8) for CMML, and 2 (range 0-27) for MDS. A set of 83 genomic/clinical variables were evaluated and several feature extraction algorithms were used to identify the least number of variables that have the most significant impact on the algorithm's decision. These variables included: AMC, ALC, TET2, ANC, ASXL1, SF3B1, Hgb, number of mutations/sample, AEC, age, Plt, splenomegaly, RUNX1, NRAS, CBL, U2AF1, STAG2, DNMT3A, TP53, EZH2, SRSF2, and ZRSR2, Figure 1. When applying the model to the validation cohort, the ROC-AUC was .98 with an accuracy of 94%, with other statistical values as follows: specificities CMML 93%, MDS 96%; sensitivities CMML 96%, MDS 93%; positive predictive values CMML 84%, MDS 98%; negative predictive values CMML 98%, MDS 84%. Individual pt data can also be entered into the model, with a probability of whether the diagnosis is MDS vs. CMML provided along with the impact of each variable on the decision, as shown in Figure 1. When the analysis was restricted to mutations only, the accuracy of the model dropped dramatically (77%, ROC-AUC .85). Conclusions We propose a novel approach using interpretable, individualized modeling to predict MDS vs. CMML phenotypes based on genomic and clinical data without the need for bone marrow biopsy data. This approach can aid clinicians and hematopathologists when encountering pts with cytopenias and a diagnosis suspicious for MDS vs. CMML. The model also provides feature attributions that allow for quantitative understanding of the complex interplay among genotype, clinical variables, and phenotype. Disclosures Sekeres: Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Walter:MLL Munich Leukemia Laboratory: Employment. Hutter:MLL Munich Leukemia Laboratory: Employment. Savona:Boehringer Ingelheim: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding. Gerds:CTI Biopharma: Consultancy; Celgene: Consultancy; Apexx Oncology: Consultancy; Incyte: Consultancy. Sallman:Celgene: Research Funding, Speakers Bureau. Komrokji:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Maciejewski:Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Nazha:MEI: Consultancy.

Abstract Background: New targeted therapies continue to show improved efficacy in various stages of chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), sparing patients from chemoimmunotherapy. However, cure remains elusive. Here, we present a front-line alternative based on a combination of high-dose methylprednisolone (HDMP) and ofatumumab, followed by consolidative therapy with lenalidomide plus ofatumumab. Methods: This is a phase II, single-center study in patients with treatment-naive (TN) CLL/SLL. During the first treatment phase (cycles 1-3) patients received HDMP 1000 mg/m2 IV and ofatumumab 2000 mg (300 mg given week 1 then 2000 mg for a total of 12 doses) IV infusions weekly x 4 doses in cycle 1 of a 28 day cycle, then every 2 weeks for cycles 2 and 3. During the second treatment phase (cycles 4-12), patients received renally adjusted lenalidomide 5-10 mg daily and ofatumumab 2000mg IV once every 8 weeks. Growth factor support was permitted at the discretion of treating physician. Prophylactic medications included allopurinol for tumor lysis syndrome (TLS) 3 days before C1D1 through C1; and trimethoprim/sulfamethoxazole and fluconazole through cycle 4, and acyclovir through C12. Patients received aspirin 81 mg/day as thrombosis prophylaxis while on lenalidomide. Patients were assessed for response by iwCLL 2008 criteria (including imaging assessment) after completion of cycles 3 and 12. The study allowed continuation of lenalidomide if patients achieved complete (CR), partial (PR) response or stable disease (SD). Primary endpoints were efficacy, adverse events (AEs) profile, and time-to-treatment failure (TTF). Results: Between January 2012 and September 2015, the study enrolled a total of 45 patients. Median follow-up was 50.4 (5.6-72.8) months. The median age was 62.6 (48.2-86.1) years. Chromosomal analysis by FISH demonstrated Del17p in 8 (17.8%), Del11q (+/- others, except Del17p) in 10 (22.2%), Trisomy 12 (+/- others, except Del17p and Del11q) in 8 (17.8%), Del13q in 10 (22.2%), no mutations in 9 (20%) patients. The IGHV status was unmutated in 34 (75.6%) cases. Indications to start treatment were: symptomatic lymphadenopathy, symptomatic splenomegaly, anemia, and thrombocytopenia in 5 (11.1%), 10 (22.2%), 12 (26.7%), and 18 (40%), respectively. The median duration of treatment was 35.6 (2.7-66.9) months. Reasons for treatment discontinuation were: progressive disease (PD) in 9 (20%), AEs in 15 (33.3%), transplantation in 3 (6.7%), consent withdrawal in 1 (2.2%), and secondary malignancies in 2 (4.4%) cases. The overall response rates (PR+CR) at 3, 12, 24, 36, and 48 months were 75.6%, 77.8%, 66.7%, 44.4%, and 37.8%, respectively. The CR rates at 3, 12, 24, 36, and 48 months were 2.2%, 11.1%, 20%, 17.8%, and 13.3% respectively. Fifteen patients remain in PR/CR and on treatment at the time of this analysis. The intention-to-treat median TTF was 45.2 (2.9-69.7) months, and was not different among high risk groups such as Del17p, Del11q and/or unmutated IgHV. In patients who discontinued for reasons other than PD the median duration of response without treatment was 30.7 (9.8-69.7) months. Three (6.7%) patients underwent allogeneic hematopoietic cell transplantation after a median of 3 (3 - 4) treatment cycles. Treatment was well tolerated with grade 3/4 infusion reaction in 1 (2.2%) patient. Grade 3/4 treatment-related hematological AEs were neutropenia, thrombocytopenia, and anemia in 33 (73.3%), 5 (11.1%), and 1 (2.2%), respectively. Grade 3/4 infections occurred in 6 (13.3%) patients. No grade 3/4 tumor flares were observed, and there were no cases of TLS or thrombosis. Conclusion: The combination of ofatumumab, HDMP and lenalidomide is effective and well tolerated in treatment-naive CLL/SLL, even when poor prognostic features are present. Disclosures Komrokji: Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau. Locke:Novartis Pharmaceuticals: Other: Scientific Advisor; Cellular BioMedicine Group Inc.: Consultancy; Kite Pharma: Other: Scientific Advisor. Kharfan-Dabaja:Seattle Genetics: Speakers Bureau; Incyte Corp: Speakers Bureau; Alexion Pharmaceuticals: Speakers Bureau. Sokol:Spectrum Pharmaceuticals: Consultancy; Seattle Genetics: Consultancy; Mallinckrodt Pharmaceuticals: Consultancy.

Abstract Abstract 282 Background: The JAK2V617F mutation has been linked to the pathogenesis of myeloproliferative neoplasia. Pacritinib (SB1518) is a potent inhibitor of both wild-type JAK2 and the JAK2V617F mutant. In previously reported Phase 1 studies, patients with myelofibrosis (MF) who received pacritinib achieved steady-state plasma levels above the IC50 for JAK2 at all doses (100–600 mg/d). Target inhibition, measured by phosphorylation of the STAT3, STAT5, and JAK proteins in PBMCs and whole blood was also shown at all doses. 400 mg/d was chosen as the recommended dose (RD) for Phase 2 study. Aim: The primary endpoint of the Phase 2 study was to assess the spleen response rate, defined as a ≥35% reduction in MRI-measured spleen volume between baseline and Week 24. Methods: Qualifying patients had primary, post-ET, or post-PV MF, with palpable splenomegaly ≥5 cm below the left costal margin. Based on minimal myelosuppression in the Phase 1 trials, no minimum hematology values were required for eligibility. Treatment with pacritinib was on a continuous oral, daily schedule. Disease symptoms were evaluated using the MF-SAF. Results: Patients: Thirty-four MF patients (median age 69; range, 44–84 years) consented and were enrolled, of which 25 (74%) were men. Median PS was 1 with 2 patients having PS >1. Median baseline hemoglobin and platelet count were 10.2 g/dL and 119,000/μL, respectively. Fifteen patients (44%) had platelet counts <100,000/μL, including 7 with counts <50,000/μL. Median baseline spleen size was 14 cm (range 4–30 cm) below the LCM by physical exam, and median spleen volume was 2647 cc (range 404–7817 cc) by MRI. Twenty-six patients (76%) were JAK2V617F mutation-positive. The median time on study is 8.2 months (range, 0.5 to 12.1 months). Safety: Seventeen patients (50%) have discontinued, including 8 (24%) due to AEs (1 each for nausea, sepsis, increased bilirubin, subdural hematoma, allergic reaction, GI bleed, and 2 due to thrombocytopenia), 5 for disease progression and 2 for lack of response. Of the AEs leading to discontinuation, only increased bilirubin, allergic reaction and intermittent nausea were considered possibly drug related. Ten patients required dose reduction for adverse events. One patient required drug discontinuation associated with decreased neutrophils and platelets. This was considered related to worsening disease; otherwise, there were no changes in pacritinib dosing related to impaired hematopoiesis. The most common treatment-related AEs were gastrointestinal, which were generally low grade and easily managed. GI AEs >Grade 2 included Grade 3 diarrhea in 2 patients (6%). Only 1 patient discontinued for GI toxicity. Efficacy: Pacritinib produced meaningful reductions in splenomegaly. Thirty patients (88%) showed reductions in palpable splenomegaly; 15 (44%) showed decreases of ≥50% and 6 (18%) achieved clinical resolution of splenomegaly. Eleven patients (32%) had a ≥35% reduction in splenic volume as measured by MRI. Splenic reduction of 50% by PE correlated with a 25% reduction in spleen volume by MRI. Fourteen patients (41%) had reduction in splenic volume by >25%. Spleen response rates were equivalent among patients with low baseline platelet counts and those with normal baseline counts. All spleen responses are ongoing; consequently a median duration of response has not been reached. Two patients met IWG-MRT criteria for clinical improvement in hemoglobin including 1 who became transfusion independent. At the 6-month visit, a significant reduction (>2 point improvement) was observed for MF-associated symptoms, including abdominal pain, bone pain, early satiety, worst fatigue, inactivity, night sweats and pruritus. Conclusions: Pacritinib shows promising efficacy in alleviating MF-associated splenomegaly and constitutional symptoms at a dose that induces minimal myelosuppression. Once-daily dosing is well tolerated, with manageable GI toxicity as the main side effect. Given the lack of myelosuppression with pacritinib, this JAK2 inhibitor is of particular importance for MF patients with impaired hematopoiesis. Disclosures: Mesa: SBIO: Research Funding.

Abstract Background and Aims A platelet count ≤100,000/µL is regarded as an independent prognostic marker for the development of leukemia and is associated with inferior survival in myelofibrosis (MF) (Huang et al. 2008). The approved JAK2 inhibitor, ruxolitinib, is associated with treatment-emergent thrombocytopenia, and patients with platelets ≤100,000/µL were excluded from the phase III COMFORT trials. Efficacy and safety data are limited in patients with MF and platelets ≤100,000/µL treated with ruxolitinib. Pacritinib (SB1518), an oral JAK2/FLT3 inhibitor, did not appear to be associated with clinically significant treatment emergent anemia or thrombocytopenia during early phase studies in patients with myeloid and lymphoid malignancies. This integrated analysis was performed to further evaluate the safety and efficacy of pacritinib in MF patients with baseline platelet counts of ≤100,000/µL. Methods The databases from 2 phase I/II clinical trials of pacritinib in advanced myeloid malignancies and MF were integrated to evaluate the rate of adverse events (AEs) and favorable spleen responses in patients with MF and thrombocytopenia. Results One hundred twenty-nine patients with advanced myeloid malignancies and MF were treated with pacritinib in phase I and II clinical trials. Sixty-five patients with MF were treated with 400 mg orally once daily in 2 phase II studies. Of these, 28 patients with MF [21 primary MF (75%), 5 post-polycythemia vera-MF, 2 post-essential thrombocytosis-MF] had baseline platelet counts of ≤100,000/µL (median: 58,500/µL, range: 15,000/µL – 97,000/µL). The median age was 69 years. Twenty three (82%) patients had the JAK2V617F mutation. During the phase 2 studies, spleen volume responses were assessed by MRI and are shown for all patients (Figure 1) and for patients with platelets ≤100,000/µL (Figure 2). Thirty-seven percent and 43% of all evaluable patients and patients with ≤100,000/µL platelets, respectively, had ≥35% reduction in spleen volume from baseline (Table). Among the 21 informative patients with allelic JAK2V617F quantification at more than 1 study visit, 3, including 2 patients with homozygous mutations, had ≥35% reduction in spleen volume and substantial reductions in allelic burden from baseline (mean reduction 64%, range 44 to 88%). In the 11 (17%) patients with MF and baseline platelet counts ≤50,000/μL, overall spleen volume reduction was 38% (3/8) in evaluable patients and the median decline in platelet count observed at study end was 6,000/µL. Integrated safety analysis for all 129 patients with advanced myeloid malignancies showed the most common adverse events (AEs) were gastrointestinal (GI), predominantly diarrhea, and most of these were grade 1 (43%) and grade 2 (26%). The time to onset of diarrhea was ≤30 days in the majority of those affected, but only 2% had drug discontinuation as a consequence. Among the 129 patients in the phase 1 and 2 trials, 57 patients had ≤100,000 platelets; of these 26 (46%) had no CTC grade change in hemoglobin (Hb) and platelet counts from baseline values. Hb and platelet counts improved by one grade in 16% and 18% of patients, respectively. One grade worsening was seen in 28% and 30% in Hb and platelet counts, respectively. Conclusions Pacritinib was well-tolerated in patients with MF, regardless of their baseline platelet counts. Grade 1 or 2 GI toxicities, particularly diarrhea, were the most common AEs. Spleen responses were similar in patients regardless of baseline platelet counts (≥100,000/µL vs. ≤100,000/µL). Notably, even patients with initial platelet counts ≤50,000/µL tolerated therapy and the majority maintained stable hemoglobin and platelet counts. A phase III trial will evaluate pacritinib versus best available therapies in patients with MF and platelet counts ≤100,000/µL. Disclosures: Dean: Cell Therapeutics, Inc: Employment. Cernohous:Cell Therapeutics, Inc: Employment. Mesa:Incyte, CTI, Gilead, Celgene, Genetech, NS Pharma, Lilly: Research Funding. Campbell:Cell Therapeutics, Inc: Employment. Caldwell:Cell Therapeutics, Inc: Employment. Wang:Cell Therapeutics, Inc.: Employment. Myint:Cell Therapeutics, Inc: Employment.

Abstract Introduction: CMML is a clinically heterogeneous myeloid neoplasm hallmarked by the coexistence of dysplastic and proliferative patho-clinical features, which can include cytopenias, constitutional symptoms, splenomegaly, and leukocytosis. However, according to the FAB classification schema, CMML may be differentiated in dysplastic and proliferative subgroups only by the presence of leukocytosis in the latter (WBC ≥13 x 109/L). We hypothesize that incorporation of other clinically discriminating features may yield a more informative CMML stratification system. To address this, we propose three distinct CMML categories and explore their clinical relevance leveraging our existing international CMML database (Padron E et al. Blood Cancer J. 20151). Method: 1622 WHO-defined CMML cases diagnosed between 1973 and 2014 were collected from eight large cancer centres that include up to 80 discrete data elements as previously described1. Cases were placed into three clinically distinct groups and the Pearson Chi-Square test and the Kruskal-Wallis test were applied respectively to compare categorical and continuous characteristics. The Kaplan-Meier (KM) method was used to estimate median OS and the log rank test was used to compare survival curves.Cox models whereapplied to obtain univariate and adjusted hazard ratios. Identification of optimal cut-off values for continuous variable was supported by graphical inspection of martingale residuals from the null Cox model. Statistical analyses were done in SPSS v23 and R v.3.3.0. Results: We propose three categories to delineate clinically distinct CMML subtypes: (1) Myelodysplastic (MD)-CMML: WBC≤10 x 109/L, PB-immature myeloid cells (IMC) = 0%, no splenomegaly (2) MD/MP-CMML: WBC 10-20 x 109/L or WBC ≤10 x 109/L but PB-IMC>0% and/or splenomegaly (3) Myeloproliferative (MP)-CMML: WBC >20 x 109/L. A recursive partitioning approach was used to identify the WBC cut points, with splenomegaly and IMC added to more accurately depict the MPN aspect of CMML. Numbers of patients included in the MD-, MD/MP-, and MP-CMML subcategories were 319 (19.7%), 789 (48.6%) and 514 (31.7%), respectively (Table 1). According to the FAB criteria, the MD/MP group included 521 (66%) MD- (WBC ≤13 x 109/L) and 268 (34%) MP-CMML (WBC>13 x 109/L) patients suggesting that the proposed classification clinically reclassifies FAB-defined CMML. Within the MD/MP group, 344 patients (21.2%) had a WBC <10 x 109/L but with IMC>0% and/or splenomegaly. Comparison of overall survival (OS) among proposed groups demonstrated that this classification schema was capable of discriminating the CMML natural history (Figure 1). In comparison to MD/MP-CMML, the unadjusted OS Hazard Ratio (HR) was 0.60 (95% CI 0.49-0.73) for MD-CMML and 1.57 (95% CI 1.36-1.81) for MP-CMML (p<0.001 for both). This difference was retained after adjusting for BM-Blasts (< vs ≥5%), IPSS or CPSS cytogenetics (High-risk vsInterm/low-risk), and elevated levels of LDH (HR was 0.73 with 95% CI 0.57-0.93, p=0.011 for MD-CMML, and 1.33 with 95% CI 1.12-1.58, p=0.001 for MP-CMML, respectively). We next explored whether each proposed group may have distinct variables that uniquely govern its prognosis. Peripheral blood blasts >5%, RBC- and PLT-transfusion-dependence predicted poor OS only in the MD and MD/MP-subcategories (p<0.005), but had no impact in the MP-CMML. Male gender and elevated LDH were only significantly associated with prognosis in the MD/MP group (p<0.05 and p<0.005, respectively) while absolute lymphocyte count >2.5 x 109/L and absolute monocyte count >10 x109/L were uniquely predictive for shorter survival in the MP-CMML subcategory (p<0.005). Notably, we additionally identified gene mutations that uniquely predicted prognosis in each proposed group (Table 2). Conclusions: We demonstrate that our proposed 3-group clinical classification schema is capable of independently stratifying prognosis. Further, our analysis identified clinical and genetic variables that uniquely govern each group's prognosis, suggesting independent clinical behaviour. Further investigations are warranted to validate these groups. Disclosures Jabbour: ARIAD: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Novartis: Research Funding; BMS: Consultancy. Fenaux:Celgene, Janssen,Novartis, Astex, Teva: Honoraria, Research Funding. Kantarjian:Bristol-Myers Squibb: Research Funding; ARIAD: Research Funding; Amgen: Research Funding; Pfizer Inc: Research Funding; Delta-Fly Pharma: Research Funding; Novartis: Research Funding. Komrokji:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Speakers Bureau.

Abstract Background. Transfusion of blood products is an integral component of the management of patients with acute leukemias. However, high-quality evidence and clinical trial data to support specific practices of blood product transfusion in this population are limited. We hypothesized that there is wide variation in blood product transfusion practices among providers in North America who manage patients with acute leukemia. Methods. A 30-question web-based survey about transfusion practices was emailed to members of the Eastern Cooperative Oncology Group (ECOG)-ACRIN Cancer Research Group, Alliance for Clinical Trials in Oncology (Alliance), and the Southwest Oncology Group (SWOG), and the Cancer Trials Support Unit (CTSU) on 7/6/2015 with 4 subsequent weekly reminders. The distribution list included 9,859 recipients, of whom at least 741 were providers who treated patients with acute leukemia. Responses were anonymous, and the survey distribution was approved by the respective cooperative group chairs. Descriptive statistics were used to analyze the data. Results. Of 254 responses received, 113 were excluded as they were returned by recipients not directly treating patients with acute leukemia. Another 30 responses were excluded due to incomplete data, leaving 111 responses (43.7%) eligible for the primary analysis. Of those, 109 responders were from North America representing 83 institutions in 33 states and the province of Ontario. Eighty-four of the included responders (75.7%) were physicians, and 44 (39.6%) were females. Median age of responders was 44 years (range, 26-76). A hemoglobin (Hb) level of ≤7 g/dL was the most commonly used threshold (44%) for red blood cell (RBCs) transfusions to asymptomatic stable hospitalized patients, followed closely by 8 g/dL (38%) (Figure 1). In the outpatient setting, the most commonly reported threshold was 8 gm/dL (49%) (Figure 1). Most providers reported that they "always" use leukocyte-reduced (93%) and irradiated (79%) RBCs. A platelet level of 10,000/µL was the threshold for platelet transfusions in the stable non-bleeding hospitalized patients cited by the majority of responders (76%) (Figure 2). This platelet level remained the most common threshold for platelet transfusions for non-bleeding patients in the outpatient setting (49%), although 31% of responders reported a higher threshold of 20,000/µL. A preference for single-donor apheresis platelets was reported by 81% respondents, and 57% use these products exclusively. Most providers (70%) reported always using irradiated platelets. With respect to cryoprecipitate and plasma infusions, nearly half of the respondents reported a threshold fibrinogen level of 100 mg/dL as a trigger for administering a product to a stable non-bleeding patient (Figure 3). The most commonly reported platelet threshold for performing a bone marrow biopsy (BMB) was 10,000/μL (69% of responders), followed by 20,000 (21%), 50,000 (6%), and 30,000 (4%). Therapeutic anticoagulation was held by most responders (80%) before performing a BMB. Most responders (73%) reported a platelet level of 50,000/µL as the lowest level for performing a lumbar puncture (LP) without prophylactic platelet transfusion. Conclusions. This survey demonstrates wide variability in blood product transfusion patterns among providers who treat patients with acute leukemias. A platelet level of 10,000/µL is the most common trigger for platelet transfusions for stable non-bleeding patients in both inpatient and outpatient settings. This, along with a platelet threshold of 50,000/µL for performing an LP, appear to be most widely accepted practices. Our findings emphasize the need to obtain high-quality data to develop consensus evidence-based guidelines for transfusion practices in acute leukemia with the goal of limiting unnecessary transfusions without compromising patient outcomes. Figure 1. The most common reported hemoglobin level thresholds for red blood cell transfusions in the inpatient and outpatient settings. Figure 1. The most common reported hemoglobin level thresholds for red blood cell transfusions in the inpatient and outpatient settings. Figure 2. The most common reported platelet level thresholds for platelet transfusions in the inpatient and outpatient settings. Figure 2. The most common reported platelet level thresholds for platelet transfusions in the inpatient and outpatient settings. Figure 3. The most common reported fibrinogen level thresholds for cryoprecipitate or plasma transfusions in the inpatient and outpatient settings. Figure 3. The most common reported fibrinogen level thresholds for cryoprecipitate or plasma transfusions in the inpatient and outpatient settings. Disclosures Sekeres: TetraLogic: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Steensma:Onconova: Consultancy; Incyte: Consultancy; Amgen: Consultancy; Celgene: Consultancy. Prebet:CELGENE: Research Funding. Komrokji:Celgene: Consultancy, Research Funding; Incite: Consultancy; Novartis: Speakers Bureau; GSK: Research Funding. Stone:Merck: Consultancy; AROG: Consultancy; Celgene: Consultancy; Sunesis: Consultancy, Other: DSMB for clinical trial; Abbvie: Consultancy; Novartis: Research Funding; Juno: Consultancy; Amgen: Consultancy; Roche/Genetech: Consultancy; Celator: Consultancy; Agios: Consultancy; Karyopharm: Consultancy; Pfizer: Consultancy. Erba:GlycoMimetics; Janssen: Other: Data Safety & Monitoring Committees; Sunesis; Pfizer; Daiichi Sankyo; Ariad: Consultancy; Millennium/Takeda; Celator; Astellas: Research Funding; Seattle Genetics; Amgen: Consultancy, Research Funding; Novartis; Incyte; Celgene: Consultancy, Patents & Royalties. Barbarotta:Celgene, BMS, Novartis: Speakers Bureau. Gore:Celgene: Consultancy, Honoraria, Research Funding.