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Abstract INTRODUCTION: Autologous hematopoietic stem cell transplantation can heavily impact the quality of life (QOL) of an individual. However, this procedure may be the only hope for a cure or a longer life for some individuals. When these patients develop severe neutropenia during transplantation, protective isolation is recommended to reduce the risk of infection. During protective isolation, patients may be confined to their hospital room which can decrease their physical activity. For autologous hematopoietic stem cell receipts (AHSCR), severe neutropenia may last several days to weeks. During this time, patients often experience social isolation, emotional encumbrances and also physical deconditioning.Data is inconsistent whether protective isolation does reduce the incidence of infections. In this study, we sought to investigate the impact of physical activity during hospitalization on Quality of Life in AHSCR with severe neutropenia using the Functional Assessment of Cancer Therapy-Bone Marrow Transplant (FACT-BMT) questionnaire. METHODS: We conducted a prospective observational study of 15 patients admitted to Mayo Clinic Florida during November 2017 to May 2018 for autologous hematopoietic stem cell transplantation, wherein we monitored the activity of each patient during hospitalization by recording the number of steps taken each day by using an activity tracker worn by the patient. Informed consent was obtained on admission before enrolling patients. Patients completed a Quality of Life (QOL) questionnaire (FACT-BMT version 4) on admission and prior to discharge from the hospital. RESULTS: Of the 15 patients that were enrolled, 5 walked ≤ 100 steps/day (group A, median, 71) and 10 walked > 100 steps/day (group B, median, 406). While there was no difference in the median time to engraftment and length of hospital stay, the mean QOL score decreased from 89.2 on admission to 81.4 on discharge in less active neutropenia patients compared to the ones who were more active. (Table 1; Figure 1) CONCLUSION: Lack of physical activity decreases QOL in AHSCR. During hospitalization, AHSCR should be encouraged to increase their activity to improve QOL. Having an activity tracker may make it easier for patients to monitor their activity, and thus lead to a better QOL. Figure. Figure. Disclosures Sher: Affimed: Research Funding. Ailawadhi:Pharmacyclics: Research Funding; Janssen: Consultancy; Takeda: Consultancy; Amgen: Consultancy; Celgene: Consultancy.

Abstract Background: Eastern Cooperative Oncology Group trial E1900 (E1900) showed that induction therapy with a high daily dose of daunorubicin (90 mg/m2) (DNR 90) improves survival in younger patients (pts) (<50 yrs) and intermediate (int) cytogenetic risk AML, but at 2 years of follow-up no benefit was seen in older pts (50-60 yrs), or in those with unfavorable cytogenetic risk or FLT3-ITD mutant AML (Fernandez et al. N Engl J Med 2009). Here we update results of E1900 with longer follow-up, focusing on the benefit of DNR 90 in cytogenetic and common molecular subgroups. Methods: Overall survival (OS) was measured from randomization for induction therapy to death from any cause (censored at last contact). Hazard ratios (HR) for death were computed using univariate and multivariable Cox proportional hazards models; multivariable Cox models were adjusted for sex, age, hemoglobin level, leukocyte count, platelet count, and cytogenetic profile. All conclusions regarding the impact of DNR 90, unless noted, are similar based on univariate and multivariable analysis. Results: Overall, 657 pts were enrolled with a median follow-up of 80.1 months. The HR for death in the DNR 90 group as compared with the standard-dose daunorubicin (45 mg/m2) (DNR 45) group was 0.74 (p=0.001). Pts <50 yrs benefited from DNR 90 (p = 0.002) while those >=50 yrs were not proven to benefit (p = 0.12). Pts with favorable (fav) and int. cytogenetic risk benefited from DNR 90 (p = 0.03 and p = 0.02, respectively). A benefit for pts with unfavorable cytogenetic risk was seen on multivariable analysis (p = 0.04). Impact of DNR 90 by mutation status: The 3 most common mutations were FLT3-ITD (24%), NPM1 (26%), and DNMT3A (24%). AML pts with any of these 3 mutations benefited from DNR 90 (p = 0.009, p = 0.002, and p = 0.02, respectively). FLT3-ITD pts who received DNR 90 had a 4-yr OS of 31%. Benefit was seen in pts age 50-60 with FLT3-ITD or NPM1 mutation (p = 0.02 and p = 0.04, respectively). No benefit of DNR 90 was seen in a small cohort of pts with MLL-PTD (p = 0.06). Benefit of DNR 90 in FLT3-ITD, NPM1, and DNMT3A mutant AML was confirmed in the int. cytogenetic risk group. Impact of DNR 90 on prognostic impact of NPM1: The presence of an NPM1 mutation conferred an improvement in OS in the DNR 90 group which was not seen in the DNR 45 group (p = 0.01 vs p = 0.3). This finding was confirmed in the int. cytogenetic risk group. Conclusion: With median follow-up of over 6 years on E1900, we confirm that DNR 90 improves outcome in pts with fav/int cytogenetic risk, DNMT3A or NPM1 mutant AML, or age < 50 (Patel et al. N Engl J Med 2012). Additionally, we now demonstrate that DNR 90 additionally benefits pts with FLT3-ITD AML, and pts with unfavorable cytogenetic risk, regardless of age. Moreover, we show that the favorable prognostic impact of the NPM1 mutation is only present when pts receive DNR 90. Given the benefit of DNR 90 across all cytogenetic risk groups as well as common molecularly defined subgroups of AML, DNR 90 should be the standard for all pts up to age 60 who are candidates for induction chemotherapy. Table HR for death by AML cohort. Subgroup N Univariate Model DNR 45 DNR 90 HR (DNR 90/DNR 45) & 95% CI Wald P All patients (n=657) Overall 330 327 0.74 (0.61, 0.89) 0.001 Age < 50 yrs³ 50 yrs 188 142 172 155 0.66 (0.50, 0.85) 0.81 (0.62, 1.06) 0.002 0.12 Cytogenetic Favorable Intermediate Unfavorable 38 232 59 51 212 63 0.51 (0.28, 0.93) 0.76 (0.61, 0.96) 0.79 (0.54, 1.16) 0.03 0.02 0.22 FLT3-ITD WT MUT 215 83 241 64 0.74 (0.59, 0.92) 0.61 (0.42, 0.89) 0.008 0.009 MLL-PTD WT MUT 290 16 296 15 0.70 (0.58, 0.86) 0.46 (0.21, 1.04) 0.0004 0.06 NPM1* WT MUT 180 65 192 65 0.70 (0.55, 0.89) 0.50 (0.32, 0.78) 0.003 0.002 DNMT3A WT MUT 177 61 194 58 0.66 (0.52, 0.85) 0.62 (0.41, 0.94) 0.001 0.02 * Statistically significant test of interaction (p<0.2) Figure 1A: Overall Survival by NPM1 Mutation Status and Treatment Arm Figure 1A:. Overall Survival by NPM1 Mutation Status and Treatment Arm Figure 1B: Overall Survival of FLT-ITD Mutant AML Patients by Treatment Arm Figure 1B:. Overall Survival of FLT-ITD Mutant AML Patients by Treatment Arm Disclosures No relevant conflicts of interest to declare.

Abstract Abstract 851 Clinical studies have demonstrated that acute myeloid leukemia (AML) is heterogeneous with respect to presentation and to clinical outcome, and many studies have shown that cytogenetics can be used to improve prognostication. More recently, it has been shown that FLT3, NPM1, and CEBPA mutations can be used to further risk stratify AML patients. Although recent studies have identified novel, recurrent somatic mutations in AML in genes including TET2, ASXL1, IDH1, IDH2, and PHF6, their prognostic value has not yet been evaluated among patients treated on a large phase III clinical trial. Here we report full-length DNA resequencing of FLT3, NPM1, CEBPA, H/K/NRAS, KIT, WT1, TET2, ASXL1, IDH1/2, TP53, RUNX1, PTEN, and PHF6 in pre-treatment genomic DNA from 398 patients with de novo AML younger than 60 years of age enrolled in the ECOG E1900 protocol. We could identify a clonal alteration, defined as a somatic mutation or cytogenetic abnormality, in 91.2% of all patients; 42% had 1 somatic alteration, 36.4% had 2 alterations, 11.3% had 3 alterations and 1.5% had 4 or more somatic alterations. Mutational Analysis: We identified somatic mutations in FLT3 (37% total; 30% ITD, 7% TKD), NPM1 (14%), CEBPA (10%), TET2 (10%), NRAS (10%), WT1 (10%), KIT (9%), IDH2 (8%), IDH1 (6%), RUNX1 (6%), ASXL1 (4%), PHF6 (3%), KRAS (2.5%), TP53 (2%), and PTEN (1.5%) (Figure 1A). We then performed correlation analysis to determine the frequency of different mutational combinations in AML patients. In addition to previously identified mutational correlations (FLT3 and NPM1, KIT and core binding factor leukemia), we found that FLT3 and ASXL1 mutations were mutually exclusive in this large cohort (p =0.0008). In addition, we found that IDH1/IDH2 mutations were mutually exclusive of both TET2 (p=0.02), and WT1 (p=0.01) mutations consistent with overlapping roles in AML pathogenesis (Figure 1B). Integration of mutational data with response data and outcome: Mutations in ASXL1 (CR rate 33.3% versus 66.5% for ASXL1-WT patients; p= 0.009) were enriched in patients who did not respond to induction chemotherapy. We found that mutations in FLT3 (p=0.0005), ASXL1 (p=0.005; Figure 1C), and PHF6 (p=0.02) were associated with reduced OS. Notably, the adverse effects of ASXL1 and PHF6 mutations on outcome were restricted to patients treated with standard dose daunorubicin (p<0.01 for each mutational cohort); ASXL1 and PHF6 mutational status did not affect outcome in patients treated with high-dose daunorubicin, demonstrating that increased intensity induction chemotherapy can improve outcomes in genetically defined poor risk AML subsets. We also found that mutations in CEBPA (p= 0.04) and in IDH2 (p=0.003) were associated with improved OS; the favorable impact of IDH2 mutations on outcome was exclusive to patients with IDH2 R140Q mutations (Figure 1D). Within the subset of patients with cytogenetically defined intermediate risk AML, we found, as expected, that FLT3-ITD mutations were associated with reduced OS and CEBPA mutations were associated with improved OS. Importantly, we found that IDH2 R140Q mutations were associated with improved OS (p=0.003) in patients with intermediate risk AML regardless of FLT3 mutational status. In contrast, TET2 mutations (P=0.0002) and PHF6 (p<0.0001) were associated with reduced OS in intermediate risk, FLT3-WT, AML. Summary: These data provide important clinical implications of genetic alterations in AML and provides insight into the multistep pathogenesis of adult AML. We identified novel mutations that impact response to induction chemotherapy and predict overall outcome, including ASXL1, PHF6, TET2 and IDH2, suggesting these mutations can be used to improve AML risk stratification and therapeutic decisions in AML patients 18–60 years of age. Most importantly, we identify TET2, IDH1/2, and WT1 mutations as mutually exclusive somatic alterations that form a novel mutational complementation group that contributes to AML pathogenesis. Figure 1. A) Circos diagram depicting relative frequency and pairwise co-occurrence of mutations in de novo AML patients enrolled in the ECOG protocol E1900. B) Circos diagram showing mutational events in IDH1/2, TET2, and WT1 mutant AML patient. C) Overall survival in AML patients with and without ASXL1 mutations (p=0.005). D) Overall survival in AML patients with and without IDH2 R172 and R140 mutations (p=0.003). Figure 1. A) Circos diagram depicting relative frequency and pairwise co-occurrence of mutations in de novo AML patients enrolled in the ECOG protocol E1900. B) Circos diagram showing mutational events in IDH1/2, TET2, and WT1 mutant AML patient. C) Overall survival in AML patients with and without ASXL1 mutations (p=0.005). D) Overall survival in AML patients with and without IDH2 R172 and R140 mutations (p=0.003). Disclosures: No relevant conflicts of interest to declare.

Abstract Objectives: Infection with the causative agent of visceral leishmaniasis (VL) may be either symptomatic or asymptomatic. In this study we aimed at investigating the prevalence of asymptomatic infections of leishmania in non-endemic villages in Gedaref state, Sudan. A descriptive cross-sectional study conducted during September and October 2014. Blood samples were collected for serological and molecular analysis. Sticky-traps, knockdown spray and CDC-miniature light traps were used for the collection of sandflies. Results: Ninety-Five participants were included; 52 from Abukishma, 15 Algadamblia Tirfa, 25 Abualnaja and 3 were from Algadamblia Aljabal . Females constituted 56 (58.9%) of the study participants while males were 39 (41.1%). The most frequent age group was >40-years (54.7%). Balanites/Acacia trees were the most planted tree inside the houses; 78 (82.1%). Also, 85 (89.5%) of the participants breed animals inside the house. DAT test revealed 5 positive participants (5.2%). 4/5 DAT positive were past VL infection. PCR detected 35 (36.8%) positive participants. A total of 31/35 was considered asymptomatic infections based on PCR. Households planted Balanites/Acacia trees or breed domestic animals were found in high percentages with L. donovani PCR positive participants (60.1%, 91.4%). No statistically significant was found for VL associated risk factors and VL asymptomatic participants.

Abstract Abstract 3070 Background: EZH2 and ASXL1 mutations were recently described in a spectrum of myeloid malignancies; mutational analysis of small patient cohorts has suggested the highest mutational frequency in myelofibrosis (MF) and chronic myelomonocytic leukemia (CMML). The current study seeks to determine i) EZH2 and ASXL1 mutational frequencies in WHO-defined subcategories of MF, CMML and blast-phase myeloproliferative neoplasm (MPN), ii) if these mutations are mutually exclusive of TET2, IDH, JAK2 and MPL mutations and iii) clinical correlates of ASXL1 and EZH2 mutations in primary MF (PMF) and CMML. Methods: The study population included 94 patients: 46 PMF, 22 post-polycythemia vera/essential thrombocythemia MF (post-PV/ET MF), 11 blast-phase MPN and 15 CMML (10 CMML-1 and 5 CMML-2). High throughput DNA resequencing was used to screen archived bone marrow for EZH2, ASXL1, TET2, IDH, JAK2 and MPL mutations. Results: ASXL1 mutations were identified in all disease categories, including PMF (13%), post-PV/ET MF (23%), blast phase MPN (18%), and CMML (20%). We identified somatic mutations in TET2 in 15%, 14%, 18%, and 13% of PMF, post-PV/ET MF, blast phase MPN, and CMML, respectively. By contrast, mutations in EZH2 and IDH1/2 were less frequent. EZH2 mutations were seen in 3 out of 46 PMF patients (7%) and were not observed in patients with post-PV/ET MF or blast phase MPN. Mutations in IDH1/2 were restricted to blast-phase MPN (36%) and PMF (7%). No mutations in EZH2 or IDH1/2 were seen in CMML. Although we identified frequent TET2 and ASXL1 mutations, we only identified one patient with concurrent mutations in both genes. Three ASXL1 mutation-positive patients also had mutations in EZH2 or IDH and one patient had concurrent ASXL1, TET2 and IDH mutations. In addition, 7 ASXL1, 7 TET2, and 1 IDH mutated patients were JAK2V617F-positive. MPL mutations were also documented in all three mutation categories. All EZH2- and ASXL1-mutated PMF patients displayed normal karyotype and none underwent leukemic transformation during follow-up. Furthermore, mutated versus unmutated patients, in both instances, were not significantly different in age and sex distribution or clinical characteristics. The 3 EZH2-mutated PMF patients died after 29, 48 and 67 months from the time of mutation analysis. In univariate analysis, the presence of mutant ASXL1 in PMF was associated with worse survival (p=0.06) but the borderline significance was lost during multivariable analysis that included risk stratification according to DIPSS (Passamonti et al. Blood 2010; 115: 1703–1708). The 3 ASXL1 mutated CMML cases were alive after 40, 34 and 12 months from time of mutation analysis and none of them had progressed to acute leukemia; karyotype was normal in two of the patients and showed isolated trisomy 8 in one. Conclusions: ASXL1 mutations are as frequent as TET2 mutations in MF and CMML. In contrast, EZH2 mutations are infrequent and cluster with PMF. ASXL1 and EZH2 mutations are not mutually exclusive events, seem to be associated with normal karyotype and do not appear to be leukemogenic or prognostically detrimental in PMF or CMML. Disclosures: No relevant conflicts of interest to declare.

Abstract We recently reported that the induction of polyploidization of malignant megakaryocytes shows great promise as a new therapy for acute leukemia. Polyploidization inducers such as dimethylfasudil (diMF) and MLN8237, both of which target Aurora A kinase (AURKA), induce proliferation arrest, polyploidization, expression of megakaryocyte differentiation markers and apoptosis of leukemic megakaryocytes in vitro and in vivo. Since megakaryocytes in primary myelofibrosis (PMF) show impaired polyploidization and maturation, and likely directly contribute to the disease, we predicted that polyploidization inducers would provide a new therapeutic strategy. To determine the effect of these compounds on the growth of MPN cells, we first treated the JAK2 V617F mutant megakaryocytic SET2 cell line with varying doses of MLN8237 and diMF. Both compounds effectively and dose dependently inhibited proliferation, induced polyploidization and upregulation of lineage specific markers CD41 and CD42, and increased apoptosis. Furthermore, MLN8237 synergized with ruxolitinib to induce apoptosis of the SET2 cells and also potently induced growth arrest of JAK2 inhibitor persistent SET2 cells. We observed a similar polyploidization and differentiating activity of MLN8237 and diMF on megakaryocytes derived from primary human PMF progenitors. The ability of these agents to induce polyploidization was specific, as the non-megakaryocyte fractions of the cultures were not affected. Next, we assayed the activity of polyploidization inducers on progression of MPNs in two mouse models: JAK2V617F conditional knockin mice and mice engrafted with MPLW515L expressing bone marrow progenitors. Of note, spleens from both mouse models displayed a robust increase in both total and phosphorylated forms of AURKA relative to control animals, further suggesting that AURKA is a rational target in this disease. We first assayed the activities of MLN8237 and diMF in the MPLW515L bone marrow transplantation model. Recipient mice develop a rapid MPN characterized by leukocytosis, thrombocytosis and bone marrow fibrosis. Both MLN8237 and diMF reduced the disease burden, as evidenced by significant reductions in the liver and spleen weights, white cell counts and platelet counts. Both compounds also led to a significant decrease of fibrosis in the bone marrow, diminished infiltration of megakaryocytes and granulocytes in the liver, and a profound reduction in the numbers of megakaryocytes within the spleen. Moreover, plasma levels of TGF-β a known myelofibrogenic cytokine, were decreased by more than 3-fold by the drug treatment. Both diMF and MLN8237 led to selective polyploidization of megakaryocytes in the spleen as well as marked reductions in the levels of p-AURKA. Of note, neither agent affected the extent of phosphorylation of STAT3 or STAT5. Therefore, we tested whether the combined use of a JAK inhibitor and a polyploidy inducer would show enhanced activity in vivo. Indeed, the combination of MLN8237 and ruxolitinib led to greater reductions in tumor burden in the MPLW515L mouse model than either agent alone. Similar results were obtained using the JAK2V617F knock-in model. To further validate our conclusion that AURKA is a target in PMF, we infected Aurkafl/fl floxed bone marrow progenitors with MPLW515L and transplanted the cells to irradiated recipients. Excision of both alleles of Aurka by Cre mediated recombination completely resolved the disease, while heterozygous deletion of Aurka significantly reduced the disease burden, in a manner similar to treatment with MLN8237. Given that heterozygous deletion of Aurka does not alter normal hematopoiesis in mice, the fact that a 50% reduction in kinase expression was associated with a significant decrease in disease burden suggests that there is an effective therapeutic window in which AURKA inhibitors will be effective against MPN while sparing normal hematopoiesis. Although JAK inhibitors provide symptomatic relief, it is becoming clear that they are not curative. Thus, there is an urgent need to develop new agents to use in combination with JAK inhibitors. Our data reveal that inducing polyploidization and differentiation of dysplastic megakaryocytes in PMF ameliorates features of the disease both in vitro and in vivo. These results support the initiation of clinical studies that combine a JAK inhibitor with an AURKA inhibitor. Disclosures: Crispino: Sanofi: Research Funding.

Abstract Abstract 2958 PURPOSE: Recent advances in understanding of the molecular alterations that occur at the genetic and epigenetic levels in Multiple Myeloma (MM) have led to major leaps in identifying molecular pathways that regulate progression and resistance to therapeutic agents. However, despite great scientific advances at the genomic level, studies to identify signaling pathways deregulated at the functional proteomic level in MM are limited. Using an antibody-based protein microarray technique, we identified Citron Rho Interacting Kinase (CRIK) as a protein that was highly expressed in primary multiple myeloma (MM) cells compared to normal plasma cell. We therefore sought to investigate the functional role of CRIK in MM cells. Methods: Primary CD138+ sorted MM cells were obtained from the bone marrow of patients after informed consent. We determined the protein expression level of 512 polypeptides in 12 samples of newly diagnosed patients with MM and 4 healthy control using high-throughput proteomic analysis with antibody-based protein microarray (Clontech, CA). MM.1S, OPM2, RPMI8226, and INA6 were used to perform functional validation. Protein expression has been studied by immunoblotting. Gene expression analysis has been assessed using the Affymetrix U133A platform and qPCR. Lentivirus was used to knockdown CRIK in MM cell lines (MM.1S, RPMI8226, OPM2, and INA6). DNA synthesis, cell survival, cell cycle profiling and apoptosis were assessed by BrdU, MTT, PI and Apo2.7 staining, and flow cytometry analysis, respectively. Results: We first showed that CRIK was overexpressed in 12 patients with MM compared to normal CD138+ cells obtained from healthy controls using high-throughput protein microarray. We further confirmed CRIK expression using immunohistochemistry in the same samples of MM patients. We next correlated CRIK gene expression level (CIT) with prognosis using previously published gene expression datasets and found that CRIK correlated with poor prognosis. Knockdown of CRIK in MM cell lines led to an anti-proliferative and pro-apoptotic effect in all MM cell lines tested. Indeed, CRIK-knockdown MM cells were characterized by a reduction of 60–80% in the proliferation rate, supported by reduction of DNA synthesis and G2/M phase cell cycle arrest. Moreover, induction of cytotoxicity of caspase-3, caspase-8, caspase-9, and parp cleavage was also demonstrated in CRIK knockdown cells compared to scramble probe transfected cells. We also showed that CRIK knockdown led to cytokinesis in MM cell lines, indicating a possible mechanism of inhibition of proliferation of these cells. Conclusion: In this study, we show that MM cells express a high level of a novel protein CRIK, and that inhibition of this protein leads to significant inhibition of proliferation and survival of MM cells. CRIK could be a critical therapeutic target in MM. Disclosures: Anderson: Millennium Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Ghobrial:Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees.

Abstract The identification of mutations in BRAFV600E and other kinases in systemic histiocytoses changed our understanding of the pathophysiology of these disorders from inflammatory non-malignant conditions to clonal disorders driven by altered MAP kinase signaling. In addition, BRAFV600E mutations have recently been noted in bone marrow (BM) CD34+ cells of patients with Langerhans Cell Histiocytosis (LCH), suggesting that LCH represents a clonal disorder arising from hematopoietic stem/progenitor cells (HSPCs). However, it is unknown if HSPCs from LCH or other histiocytoses patients can functionally give rise to these disorders. Moreover, whether or not patients with histiocytosis have additional hematological disorders related to the presence of HSPC-based mutations is unclear. Here we attempted to understand the spectrum of hematological disorders in patients with histiocytoses and the cell-of-origin of histiocytic neoplasms by functionally analyzing HSPCs from histiocytoses patients. We first analyzed a multicenter cohort of 190 adult histiocytoses patients. This unexpectedly identified a high frequency of patients with a co-existing myeloid malignancy. Of the 190 patients, 9.5% (18/190) were diagnosed with Erdheim-Chester Disease (ECD) and/or LCH concomitantly with a classic MPN (3.7%; 7/190), MPN/MDS overlap (4.7%; 9/190), or MDS (1.1%; 2/190) (Figure). This clinical observation was confirmed by detection of co-existing histiocytoses-associated kinase mutations (including BRAF, MAP2K1, NRAS, or KRAS mutations) with JAK2 or CALR mutations, as well as other mutations recurrently found in myeloid malignancies (such as IDH1/2, ASXL1, and TET2 mutations (Figure)). These data therefore reveal a heretofore-unrecognized clinical overlap of adult-onset systemic histiocytoses and WHO-classified myeloid malignancies while further highlighting the possibility of an aberrant HSPC origin for histiocytic neoplasms. In most cases, the BRAF/MAP2K1/RAS mutation predominated in the histiocytic lesion while the JAK2/CALR mutation predominated in the BM/peripheral blood suggesting likely distinct clones driving each clinical condition. Next, to test the self-renewal and differentiation capacity of HSPCs from histiocytoses patients, CD34+ cells were purified from 8 patients including 6 with ECD or LCH plus a concomitant myeloid neoplasm, and 2 with ECD alone. 0.1-0.8x106 CD34+ cells from each patient were transplanted by intrafemoral injection into sublethally irradiated NOD/SCID IL2Rγ transgenic human GM-CSF, IL-3, and SCF expressing (NSG-SGM3) mice. Human engraftment was monitored by monthly flow cytometric analysis of peripheral blood until mice became moribund. Thereafter, animals were sacrificed and tissues were analyzed using flow cytometry, histology, immunohistochemistry, and sequencing analyses to detect driver mutations identified in the histiocytosis/co-occurring myeloid neoplasm. Successful engraftment of human myeloid cells was verified in grafts generated from 2/8 patients after a mean of 90 days (range: 60-120 days). This included lethal engraftment of KRAS-mutated ECD patient cells at 90 days manifested by infiltration of human hCD45+ cells co-expressing human myeloid and monocyte lineage markers hCD33 and hCD14 in the bone marrow, spleen, liver, lung, and kidney (Figure). Immunostains revealed that tissues were infiltrated by an hCD45+hCD163+hCD68+ population of foamy histiocytes, characteristic of ECD (Figure). Furthermore, genomic analysis of DNA from the engrafted animals BM and spleen revealed the same KRASG12S mutation found in the donor patients ECD lesion. Engraftment of a patient diagnosed with concomitant BRAFV600E-mutant ECD and ASXL1/TET2-mutant CMML was seen at 60 days. In this case, however, only engraftment of human CMML was detected without evidence of the BRAFV600E-mutant ECD component. This study suggests that adult histiocytic neoplasms frequently co-occur with other myeloid neoplasms. Moreover, histiocytosis disease-driver mutations are present in the CD34+ HSPCs, which we show for the first time can initiate disease that resembles human histiocytosis in a patient-derived xenograft. Importantly, however, even though the CD34+ compartment gives rise to both the histiocytic and myeloid neoplasm disease component, each disease is likely initiated by distinct precursors. Figure. Figure. Disclosures No relevant conflicts of interest to declare.

Abstract Background: The concept of treatment personalization in cancer often means associating a drug with an actionable mutation. One limitation of this approach is that most tumors have multiple aberrations, which are not actionable. Here we present a predictive simulation based approach which models the molecular architecture and resulting physiology of advanced stage Waldenströms Macroglobulinemia (WM, a B-lymphoplasmacytic lymphoma) as well as the design of novel personalized treatments using existing drug agents for rapid clinical translation with validations. Methods: We used the human WM cell line, RPCI-WM1, as a surrogate model of refractory, advanced patient sub-groups. Publically available as well as proprietary genomic and cytogenetic data was utilized for the creation of an avatar of RPCI-WM1, which through simulation identified the salient and prominently dysregulated cellular pathways. Importantly, illustrating these pathways highlights common convergence points on increased proliferation and viability. These convergence points were then directly and indirectly targeted by simulated testing of a library of FDA approved drugs and those impacting these dysregulated pathways were shortlisted. Importantly, this simulation avatar approach not only looks for agents acting on the specific gene mutation, but also predicts the convergence points to be attacked. The personalized simulation avatar technology is a comprehensive functional proteomics representation of WM physiology network. A standardized library of equations models all the biological reactions such as enzymatic reactions, allosteric binding and protein modulation by phosphorylation, de-phosphorylation, ubiquitination, acetylation, prenylation and others. A library of over 150 digital functional library of FDA approved drug agents and those in clinical study has been developed and was simulated individually and in combination on the RPCI-WM1 (advanced stage WM patient) avatar. Results: Overall, there were 272 gene aberrations used to create the RPCI-WM1 simulation avatar. Importantly, presence of MYD88L265P mutation, absence of CXCR4 mutations and additional chromosomal aberrations (derivatives, translocations, deletions and amplifications of chromosomes 3, 6, 9, 13, 18 and 19) were taken into account. The RPCI-WM1 patient avatar predicted increased IRAK1/4 engagement due to MYD88 mutation and high copy number (CN) of IL18, to increased NFkB via TAK1, and increased ERK signaling through IRAK1/4 mediated down regulation of DUSP1. The RPCI-WM1 model also indicated high AKT due to indirect convergence of multiple aberrations. Another key characteristic of the genomic aberrations driving proliferative phenotype was low CN of RB1, FOXO3, CDKN2A, CDKN2B, and CEBPa. Modeling predicted sensitivity to the aurora kinase (AURKA) inhibitor, tozasertib and resistance to cell cycle cyclin D-CDK4/6 pathway inhibitors., Although there was no CN variation in AURKA, as per simulation its expression and activity was upregulated due to high CN of ETS1 and PAK1 and increased activation of NFkB, HIF1A and STAT5 in the disease network. Despite high proliferation, LEE011 (representative CDK4/6 inhibitor) was predicted to exert no cytotoxic effect, due to the presence of an RB1 deletion. Through phosphorylation of RB1, the CDK4-CyclinD1 complex aids in release of E2F1 from the RB1 sequestered complex, to drive proliferation. However, predictive modeling suggested that with an RB1 deletion present, this regulation becomes irrelevant and therefore the inhibition of the CDK4/6-CyclinD1 complex would be ineffective. The simulation predictions were experimentally validated. As predicted, AURKA inhibition with tozasertib significantly inhibited viability and proliferation of RPCI-WM1 cells (IC50 ~7nM) whereas inhibition of CDK4/6 with LEE011 had no effect on tumor cell survival. Conclusions: This study demonstrates the utility of a novel technology for rapid translation of a (WM) genetic signature towards a personalized therapeutic strategy. This simulation avatar based approach holistically integrates all genomic aberration information to design personalized therapies architected from FDA approved and/or clinical drug agents with therapeutic potential for WM patients based on unique genetic signatures. Disclosures Vali: CellWorks: Employment. Kumar:CellWorks: Employment. Singh:CellWorks: Employment. Kapoor:Cellworks Research India Limited: Employment. Abbasi:CellWorks: Employment, Equity Ownership.

Abstract BACKGROUND: The study of rare diseases is limited by the uncommon nature of the conditions as well as the widely dispersed patient populations. Current rare disease registries such as the National Organization of Rare Diseases utilize centralized platforms for data collection; however because of their broad nature, these do not always capture unique, disease specific elements. Hairy Cell Leukemia (HCL) is a rare leukemia globally with approximately 900 new cases diagnosed in the US each year. The HCL Foundation undertook creation of a Patient Data Registry that collects data from multiple HCL Centers of Excellence (COE) around the globe to better understand the complications, treatment outcomes, disease subtypes, comorbid conditions, epidemiology, and quality of life of patients with HCL. METHODS: Investigators at The Ohio State University Department of Biomedical Informatics and Division of Hematology in collaboration with the HCL Foundation developed a Patient Data Registry (PDR) for the longitudinal capture of high quality research data. This system differs from other registries in that it uses a federated( rather than centralized) architecture, wherein data is queried and integrated in an on-demand manner from local registry databases at each participating site. Further, the data collected for use in the registry combines both automated exports from existing electronic health records (EHRs) as well as additional data entered via a set of web-based forms. All manually entered data comes from source documents, and data provenance spanning electronic and manually entered data is maintained via multiple technical measures. Patients may be enrolled at HCL COE, or, if they do not have access to a COE they may enroll via a web-based portal (www.hairycellleukemia.org). At this time due to regulatory requirements the web-based portal is available to US patients only. All data are de-identified (see Figure 1: De-Identification Workflow) which reduces regulatory burden and increases opportunities for data access and re-use. End users have access to data via a project-specific query portal. RESULTS: The Patient Data Registry has been deployed at The Ohio State University, Royal Marsden Hospital, and MD Anderson Cancer Center, and is undergoing deployment at the University of Rochester. Up to 25 international HCL COE may participate. In addition, US patients are actively entering the registry via the web-based portal. To date, 227 patients have been consented to the registry with 119 of these being via the web-based entry point. CONCLUSION: We created an international and web-based patient data registry which will enable researchers to study outcomes in HCL in ways not previously possible given the rarity of the disease. This work was made possible by research funding from the Hairy Cell Leukemia Foundation. Figure De-Identification Workflow Figure. De-Identification Workflow Disclosures Andritsos: Hairy Cell Leukemia Foundation: Research Funding. Anghelina:Hairy Cell Leukemia Foundation: Research Funding. Lele:Hairy Cell Leukemia Foundation: Research Funding. Burger:Pharmacyclics: Research Funding. Delgado:Gilead: Consultancy, Honoraria; Novartis/GSK: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; Infinity: Research Funding. Jones:AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics, LLC, an AbbVie Company: Membership on an entity's Board of Directors or advisory committees, Research Funding. Lozanski:Beckman Coulter: Research Funding; Genentech: Research Funding; Stemline Therapeutics Inc.: Research Funding; Boehringer Ingelheim: Research Funding. Montserrat:Morphosys: Other: Expert Testimony; Vivia Biotech: Equity Ownership; Gilead: Consultancy, Other: Expert Testimony; Pharmacyclics: Consultancy; Janssen: Honoraria, Other: travel, accommodations, expenses. Parikh:Pharmacyclics: Honoraria, Research Funding. Park:Genentech/Roche: Research Funding; Amgen: Consultancy; Juno Therapeutics: Consultancy, Research Funding. Robak:Pharmacyclics, LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding. Tam:janssen: Honoraria, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees. Heckler:Hairy Cell Leukemia Foundation: Research Funding. Payne:Hairy Cell Leukemia Foundation: Research Funding.