Tefferi, Ayalew

Abstract Abstract 2852 Background: The 18-item Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF, Scherber et al Blood 2011) given in conjunction with the 9-item Brief Fatigue Inventory (BFI, Mendoza et al Cancer 1999) is a patient-completed questionnaire for assessing symptoms in persons with MPNs. The MPN-SAF has been translated and validated in 9 languages to date. The Total Symptom Score (TSS) is computed from 10 of the most pertinent MPN-SAF items to assess symptom burden in MPN patients and to evaluate response to therapy. Psychometric properties of the TSS have been previously reported (Emanuel et al Blood 2012). The purpose of this analysis is to compare MPN-SAF symptoms and psychometric properties of the TSS across 9 languages in an international sample. Methods: Data were collected in an international cohort of subjects with MPNs. Surveyed symptoms included fatigue, early satiety, abdominal pain and discomfort, inactivity, headaches, concentration, dizziness, extremity tingling, insomnia, sexual problems, mood changes, cough, night sweats, pruritus, bone pain and fever on a 0 (absent) to 10 (worst imaginable) scale. TSS was computed using the published scoring algorithm on a 0 (all symptoms absent) to 100 (all symptoms worst imaginable) scale. Demographic and disease-related data including disease type, gender, and age had to be present to be included in analysis. Demographics were compared across languages groups using ANOVA and chi-squared tests. Symptoms and TSS were compared across language groups using a general linear model adjusting for disease type, age, and gender with post-hoc Tukey pairwise comparisons. Internal consistency and factor structure of the TSS were investigated overall and within language groups using Cronbach's alpha and principal-axis factoring analysis. Results: Subject Demographics and Disease Type: 1,851 subjects with polycythemia vera (PV N=655), essential thrombocythemia (ET N=769) and myelofibrosis (MF N=427; 286 primary MF, 61 PV-MF, 80 ET-MF) were prospectively enrolled and administered the MPN-SAF and BFI in 1 of 9 languages: English [UK] 55, English [US] 102, Italian 186, Swedish 114, German 112, French 457, Spanish 192, Dutch 236, and Chinese 397. Age (median 61, range, 15–94) and gender (55% F) were typical. Disease type and age varied across language groups (both p <0.001). MPN-SAF Symptoms and TSS: Symptom frequencies ranged from 19% (fever) to 88% (fatigue) overall with mean severities ranging from 0.4 (SD=1.3, fever) to 4.3 (SD=2.3, fatigue). Fatigue had the highest mean severity among all symptoms within each language group. Overall, mean TSS was 21.5 (SD=16.7) with the Swedish (mean=18.1, SD=15.2) and Dutch (mean=27.6, SD=17.1) cohorts reporting the lowest and highest unadjusted TSS means, respectively. When comparing symptom items across languages (adjusting for disease type, age, and gender), concentration and sexual problems had the most statistically significant pairwise differences (11 and 10, respectively, out of a possible 36) followed by dizziness and overall quality of life (9 each, out of a possible 36). No statistically significant pairwise differences were observed for abdominal discomfort, headache, extremity tingling, or insomnia. For the TSS, the Dutch cohort appeared to statistically significantly differ (all p <0.05) with all other languages except the English cohorts. All other TSS pairwise comparisons were not statistically significant. TSS Internal Consistency and Factor Structure: The TSS had excellent internal consistency overall (Cronbach's alpha 0.83) as well as within language groups (Cronbach's alpha 0.81–0.86). Overall factor analysis identified a single underlying construct among the 10 TSS items. Factor loadings ranged from 0.41 for fever to 0.73 for inactivity. A single factor solution was appropriate for each language group with factor loadings ranging from 0.18 to 0.85. Conclusion: This analysis suggests that the available translations of the MPN-SAF are generally acceptable for use in a broad context. The TSS demonstrated acceptable internal consistency and similar factor structure across all language groups. Most symptom and TSS comparisons between languages were not statistically significant, but for the few which differed, further studies are needed to evaluate whether these variances are due to disease-related factors or due to linguistic or cultural influences present in the cohorts. Disclosures: Kiladjian: Novartis: Honoraria, Research Funding; Celgene: Research Funding; Shire: Honoraria. Griesshammer:Shire: Honoraria. Roy:Novartis, BMS: Speakers Bureau. Harrison:Novartis: Honoraria, Research Funding, Speakers Bureau; YM Bioscience: Consultancy, Honoraria; Sanofi Aventis: Honoraria; Shire: Honoraria, Research Funding. Passamonti:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees. Mesa:Incyte: Research Funding; Lilly: Research Funding; Sanofi: Research Funding; NS Pharma: Research Funding; YM Bioscience: Research Funding.

From 1980 through 1994, we identified 47 adult patients with acquired pure red cell aplasia (median age, 64 years; range, 22 to 84 years). Associated clinical disorders included T-cell large granular lymphocytic (LGL) leukemia, thymoma, chronic lymphocytic leukemia, and non-Hodgkin's lymphoma. Review of bone marrow findings in 40 patients showed absence of erythroid precursors in 14 patients and rare pronormoblasts in 26. None had morphologic evidence of myelodysplasia. T-cell receptor gene rearrangement studies with Southern blot technique in 14 patients showed clonal rearrangements in nine. Karyotypic analyses performed in 28 patients showed clonal abnormalities in four. Overall, 28 of 47 patients (60%) responded to immunosuppressive therapy, but none were the patients with cytogenetic abnormalities. There was a trend toward superior response to immunosuppressive agents in the patients with T-cell LGL leukemia. Cyclophosphamide, with or without corticosteroids, was the most useful treatment agent. Cyclosporine A was effective for refractory disease. Neither the presence of an associated clinical disorder nor the existence of detectable erythroid precursors affected overall survival. We conclude that (1) T-cell LGL leukemia is the disorder most commonly associated with pure red cell aplasia, (2) the presence of clonal cytogenetic abnormality predicts poor response to immunosuppressive therapy, and (3) oral cyclophosphamide and cyclosporine A are effective treatment regimens.

Abstract Abstract 2851 Background: It is widely appreciated that total cholesterol (TC) and triglyceride (TG) levels are decreased in patients with primary myelofibrosis (PMF). However, a systematic study looking into the serum lipid profile in PMF and its phenotypic and prognostic relevance is lacking. Methods: An updated Mayo Clinic database of 1008 karyotypically- and DIPSS-plus-annotated patients with PMF was used to identify study patients in whom serum lipid and lipoprotein levels were available at time of referral. Overall (OS) and leukemia-free (LFS) survivals were calculated from the time of referral, which was also the time of serum lipid analysis. Results: A total of 207 patients met the above stipulated criteria and had measurement of TC (n=207), TG (n=204), HDL cholesterol (HDL-C) (n=187), LDL cholesterol (LDL-C) (n=176) and non-HDL cholesterol (N-HDL-C) (n=184). The corresponding median (range) values (mg/dL) were 132 (57–296), 147 (42–742), 31 (8–96), 67 (11–186) and 104 (7–249). TC was significantly (P<0.05) lower in the presence of male sex, older age, red cell transfusion need, hemoglobin <10 g/dL, marked splenomegaly, circulating blasts, constitutional symptoms, JAK2 V617F, and ASXL1 mutations. TG was significantly (p<0.05) lower in the presence of JAK2 V617F, red cell transfusion need, hemoglobin <10 g/dL and thrombocytosis. DIPSS-plus risk categories showed significant differences in their TC (p<0.0001), HDL-C (p=0.004), LDL-C (p=0.004), and N-HDL-C (p=0.009) profiles with higher levels seen in lower risk patients; there were no correlations with TG levels. In univariate analysis, lower levels of TC, HDL-C, LDL-C and N-HDL-C were all associated with shortened survival (P<0.01 for each association) whereas survival was not affected by TG level (p=0.42). Multivariable analysis in the context of DIPSS-plus confirmed the independent prognostic relevance of both TC (p=0.05) and HDL-C (p=0.02) for OS. A similar analysis disclosed no correlation with LFS. Exclusion of patients receiving statin or other anti-lipid treatment did not affect the overall results. Patients in the lower quartiles for either TC (approximately <100 mg/dL) or HDL-C (approximately <25 mg/L) compared to those with higher levels displayed significantly shorter survival (Figure; RR 2.4, 95% CI 1.6–3.7; p<0.0001) that was not accounted for by DIPSS-plus (RR 1.6, 95% CI 1.1–2.5; p=0.03). Conclusions: Decreased levels of total or HDL cholesterol in PMF cluster with adverse disease features and carry a DIPSS-plus independent adverse prognostic value. Measurement of TC and HDL-C in PMF might be useful in monitoring disease progression and treatment response. Disclosures: No relevant conflicts of interest to declare.

Abstract Background Increased bone marrow (BM) reticulin fibrosis in polycythemia vera (PV) has been reported in 20% (Ann Hematol. 1999;78:495) to 51% (Eur J Haematol. 2011;86:148) of patients at diagnosis. In a previous report by the international working group for myeloproliferative neoplasms (MPN) research and treatment (IWG-MRT), the presence of BM fibrosis (≥ grade 1) at diagnosis was associated with a lower incidence of thrombosis during the clinical course and a higher risk of fibrotic progression while it did not affect overall (OS) or leukemia-free (LFS) survival (Blood. 2012;119:2239). The objectives for the current single center study of 262 PV patients were to validate the observations from the IWG-MRT and also identify other risk factors for myelofibrosis-free survival (MFFS) in PV. Methods Study patients were selected from our institutional database of MPN and fulfilled the 2016 World Health Organization (WHO) criteria for the diagnosis of PV (Blood. 2016;127:2391). Cytogenetic analysis and reporting was done according to the International System for Human Cytogenetic Nomenclature (Cytogenetic and Genome Research 2013;141:1-6). The degree of BM reticulin fibrosis was based on "real life" BM reports from Mayo Clinic hematopathologists and often in accordance with the European consensus scoring system (Haematologica 2005;90:1128). Statistical analyses considered clinical and laboratory parameters obtained at time of diagnosis. Results Patient characteristics: Analysis was conducted on 262 patients (median age 62 years; 50% males) who met 2016 WHO criteria for diagnosis of PV. Median (range) values were: hemoglobin 18 g/dl (14.8-24), leukocyte count 11.7 x109/L (4.3-59.3) and platelet count 454 x109/L (44-2747). Among informative cases, palpable splenomegaly was present in 27%, pruritus in 33% and erythromelalgia in 6%. Thrombosis history at diagnosis was documented in 28% of the patients and 23% experienced thrombotic events after diagnosis. Information on cytogenetics was available in 142 patients and karyotype was abnormal in 19%. BM reticulin fibrosis was reported to be absent in 135 patients (MF-0, 52%), grade 1 (MF-1) in 101 (39%), grade 2 (MF-2) in 22 (8%) and grade 3 (MF-3) in 4 (2%) patients. After a median follow up of 85 months, 107(41%) deaths, 30 (11%) fibrotic progression and 5 (2%) leukemic transformations were documented. Comparison of patients with and without bone marrow fibrosis A number of clinical and laboratory parameters were evaluated for possible association with the presence of ≥ grade 1 BM reticulin fibrosis and none, including age, sex, complete blood count, palpable splenomegaly, pruritus or erythromelalgia displayed a significant association. In univariate analysis, the presence of BM fibrosis (MF-0 versus MF-1 or greater) did not affect OS (p=0.5), LFS (p=0.2) or thrombosis-free survival (p=0.97) whereas a significant association was noted for MFFS (p=0.009; HR 2.9, 95% CI 1.3-6.7). Others risk factors for MFFS, in a univariate analysis, were leukocytosis ≥15 x 109/L (p=0.02; HR 2.7, 95% CI 1.17-6.48), presence of splenomegaly (p=0.02; HR 2.6, 95% CI 1.16-6) and abnormal karyotype (p=0.0005; HR 4.6, 95% CI 1.9-11). During multivariable analysis, not including karyotype, leukocytosis ≥15 x 109/L (p=0.04), presence of splenomegaly (p=0.04) and presence of BM reticulin fibrosis (p=0.01) remained significant; however, this significance for leukocytosis ≥15 x 109/L, presence of splenomegaly and BM reticulin fibrosis was lost when abnormal karyotype was added as covariate to each risk factor individually (p=0.4, p=0.1 and p=0.9, respectively). Conclusion We report a not infrequent (48% incidence) occurrence of ≥ grade 1 BM reticulin fibrosis at time of initial diagnosis of PV. In the current study, we did not find a prognostic impact for the presence of BM reticulin fibrosis, in terms of OS, LFS or thrombosis-free survival; however, a significant association was confirmed for MFFS that was independent of other non-genetic risk factors. The preliminary observation on the adverse prognostic impact of abnormal karyotype on MFFS requires additional studies. Disclosures No relevant conflicts of interest to declare.

Abstract Background : The 2016 revision to the World Health Organization (WHO) classification of myeloid neoplasms has recommended distinction between "proliferative" (WBC ≥ 13 x 10(9)/L) and "dysplastic" (WBC < 13 X 10(9)/L) subtypes of chronic myelomonocytic leukemia (CMML). In the current study of 261 molecularly-annotated cases, we sought to clarify the prognostic relevance of distinguishing proliferative from dysplastic CMML and also describe differences in the distribution of disease-associated mutations. Methods : 261 patients with WHO-defined CMML were included in the study. All patients had bone marrow (BM) biopsies and cytogenetics performed at diagnosis. Targeted capture assays were carried out on BM DNA specimens obtained at diagnosis for the following genes; TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, Tp53, SH2B3, RUNX1, CBL, NRAS, KRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF, and SETBP. The 2016 WHO criteria were used to sub-classify CMML into proliferative and dysplastic subtypes. Results :Among the 261 study patients, 65% were males and median age was 70 years. 154 (59%), 64 (25%) and 43 (16%) patients were classified as CMML-0, 1 and 2, respectively. At a median follow-up of 23 months, 174 (67%) deaths and 37 (14%) leukemic transformations were documented. Mutational frequencies were; TET2 45%, ASXL1 45%, SRSF2 40%, NRAS 14%, SETBP1 13%, CBL 10%, JAK2 7%, RUNX1 6%, U2AF1 6%, DNMT3A 6%, SF3B1 5%, ZRSR2 4%, Tp53 4%, IDH2 4%, KRAS 3%, PTPN11 2%, SH2B3 1%, CSF3R 1%, IDH1 1%, EZH2 1%, SUZ12 1%, KIT 1%, FLT3 1%, and CALR 1%. Risk stratification was based on the Mayo Molecular Model: 31% high, 30% intermediate-1, 28% intermediate-2 and 11 % low risk. i) Dysplastic versus proliferative CMML: phenotypic and molecular differences 139 (53%) patients had proliferative and 122 (47%) dysplastic subtypes. There was no difference between the CMML subtypes in terms of age and gender distribution, hemoglobin level, platelet count or BM blast content. Patients with proliferative CMML had higher absolute monocyte counts (AMC) (p<0.0001), circulating immature myeloid cells (IMC, p<0.001), circulating blasts (p<0.001) and serum LDH levels (p=0.01). The following gene mutations were more common in proliferative vs dysplastic CMML: ASXL1 (54% vs 37%, p=0.009), JAK2 (11% vs 3%, p=0.01) and CBL (11% vs 8%, p=0.047); SF3B1 mutations were more common in dysplastic CMML (8% vs 1%, p=0.02). There was no difference in the incidence of TET2, DNMT3A and SRSF2 mutations whereas there was a trend towards a higher prevalence of NRAS (p=0.06) and CSF3R (p=0.06) mutations in proliferative CMML. Cytogenetic abnormalities (p=0.03), including higher risk categories by the Spanish (p=0.03) and the Mayo-French (p=0.01) systems were more common in proliferative CMML. ii) Impact on overall and leukemia-free survival: Median survival for the entire cohort (n=261) was 24 months. In univariate analysis, survival was shorter in patients with proliferative (median 20 months) versus dysplastic (median 29 months) CMML (p=0.008; HR1.5, 95% CI 1.1-2.1; Figure 1A). Other variables of significance, in univariate analysis, included hemoglobin (p=0.001), leukocyte count (p=0.001), AMC (p=0.003), PB blast % (p=0.003), IMC (p=0.01), BM blast % (p=0.045), abnormal karyotype (p=0.02), ASXL1 (p=0.01) and DNMT3A (p=0.0003) mutations. In multivariable analysis, the difference in survival between proliferative and dysplastic subtypes remained significant with the addition of hemoglobin level (p=0.01), PB blast % (p=0.02), IMC (p=0.04), BM blast % (p=0.01) or DNMT3A mutations (p=0.01). This was, however, not the case with addition of leukocyte count (p=0.32), AMC (p=0.18) or ASXL1 mutational status (p=0.14); whereas the adverse impact on survival from the latter three parameters remained significant. The prognostic impact of ASXL1 mutations was most apparent in dysplastic CMML (Figure 1B). There was no difference in leukemic transformation rates (p=0.4). Conclusions: In the context of current prognostic models, sub-classification of CMML into proliferative and dysplastic subtypes might not provide additional prognostic value. The apparent difference in survival between the two subtypes of CMML is probably accounted for by the higher prevalence of leukocytosis/monocytosis and of ASXL1 mutations in proliferative CMML. Disclosures No relevant conflicts of interest to declare.

Abstract Abstract 1726 Background: We previously reported that symptom burden among persons with ET and PV can be severe and adversely affect QOL. The presence of severe symptoms is linked to poor prognosis. There is considerable inter-subject heterogeneity regarding which symptoms are present in which subjects. No studies have empirically evaluated whether disease characteristics can be grouped in related symptom clusters. Using our previously validated 18 item Myeloproliferative Neoplasm Assessment Form (MPN-SAF) (Blood 2011;118:401–408) given in conjunction with the 9 item Brief Fatigue Inventory (BFI) (Cancer 1999;85:1186–1196), we sought to evaluate symptom burden by means of cluster analysis. Methods: Data was collected from an international cohort of subjects with MPNs including demographics, disease features and the completed BFI and MPN-SAF instruments. Surveyed symptoms included fatigue, early satiety, abdominal pain and discomfort, inactivity, headaches, concentration, dizziness, extremity tingling, insomnia, sexual difficulties, mood changes, cough, night sweats, pruritus, bone pain and fever on a 0 (absent) to 10 (worst-imaginable) scale. Development of symptom clusters was based on consideration of r-squared in hierarchical clustering using Ward linkage. Final cluster assignment was based on the nonhierarchical k-means method. Comparisons between symptom clusters were based on ANOVA and chi-squared tests. Results: Subject Demographic and Disease Characteristics: Data from 1,141 subjects with PV (N=519) and ET (N=622) was prospectively collected (Chinese 236, French 305, German 45, Italian 114, Dutch 191, English 56, Spanish 109, Swedish 85. Age (mean 59, range, 26–87) and gender (54% F) were typical. Five clusters were selected (Figure 1). Frequencies of prior bleeding, spleen size, anemia, presence of any lab abnormality, language, gender, and MPN type varied significantly between clusters (P<0.05). Cluster 1: The “Reduced Symptom” Profile (n=421 (37%; 60% ET, 40% PV) The largest cluster, subjects had increased complaints of sexual difficulties and fatigue. There was a slightly higher proportion of subjects with ET (60%) versus PV. There were fewer lab abnormalities (28% prevalence) and less prior bleeding (3%) compared to other clusters. Spleen size was smallest of the cluster (1 cm below costal margin). Cluster 2: The “Fatigue-dominant” Group (n=286 (25%; 56% ET, 44% PV)). Subjects in this cluster were predominantly female and had relatively few laboratory abnormalities (19%) than other cohorts. They are characterized by high severity of fatigue compared to end-organ symptoms. Symptom profiles emphasize fatigue, QOL and insomnia with some end-organ complaints. The cohor 63% of the cohort. Cluster 3: The “End-Organ Complaints” Group (n=210 (18%; 49% ET, 51% PV)). Male predominant (56%), subjects had mainly macro-vascular symptom complaints including sexual difficulties, insomnia, and overall QOL, with few microvascular related symptoms (low itching/night sweats). Cluster 4: “Cognitive Complaints” Cluster (n=110 (10%; 53% ET, 47% PV)). The smallest cluster and female predominant (64%), main complaints include fatigue, insomnia, loss of concentration, numbness, and sad mood. Cluster 5: The “Highly Symptomatic” Cluster (n=114 (10%; 44% ET, 56% PV)). Subjects had many cognitive complaints and symptoms correlated with severe micro-vascular abnormalities (pruritus) and or splenomegaly. This cluster had the largest spleen sizes (mean 3 cm), the highest prevalence of prior thrombosis (29%), and highest frequency of lab abnormalities (43%). Cognitive and end-organ complaints were rated as most severe. Conclusion: This analysis offers new means of evaluating persons with PV and ET utilizing symptom clusters. Laboratory and physical abnormalities differed significantly between symptom clusters indicating that our groupings likely result from biological alterations present in specific disease phenotypes. Future studies should investigate correlations between clusters and prognosis and genotype. Disclosures: Kiladjian: Celgene: Research Funding; Novartis: Honoraria, Research Funding; Shire: Honoraria. Roy:Novartis, BMS: Speakers Bureau. Harrison:Novartis: Honoraria, Research Funding, Speakers Bureau; YM Bioscience: Consultancy, Honoraria; Sanofi Aventis: Honoraria; Shire: Honoraria, Research Funding. Vannucchi:Novartis: Membership on an entity's Board of Directors or advisory committees. Passamonti:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees. Mesa:Incyte: Research Funding; Lilly: Research Funding; Sanofi: Research Funding; NS Pharma: Research Funding; YM Bioscience: Research Funding.

Abstract Abstract 1729 Background: Primary myelofibrosis (PMF) is a myeloproliferative neoplasm whose survival at diagnosis is predicted by the International Prognostic Scoring System (IPSS), which is based on the presence of the following five risk factors: age greater than 65 years, presence of constitutional symptoms, hemoglobin level below 10 g/dL, leukocyte count greater than 25 ×109/L, and circulating blast cells 1% or greater (Cervantes et al, Blood 2009). To allow dynamic prognostication at any time during follow up, we further developed the Dynamic International Prognostic Scoring System (DIPSS), based on the same IPSS-factors, but with different score values (one point for each risk factor, two points for acquisition of anemia) and with a distinct score model (low risk, LR, 0 points; intermediate-1 risk, Int-1R, 1–2 points; intermediate-2 risk, Int-2R, 3–4 points; high risk, HR, 5–6 points) (Passamonti et al, Blood 2010). The DIPSS model was also efficient in the prediction of acute myeloid leukemia (AML) evolution (Passamonti et al, Blood 2010) and in the assessment of survival and non-relapse mortality after allogeneic hematopoietic stem cell transplantation (Scott et al, Blood 2012). Aim: The aim of the present study is to update outcome data of PMF patients included in the original series used to generate the DIPSS model and to assess the DIPSS prediction of survival in PMF patients with a longer follow up. The Institutional Review Board approved the study, and the procedures followed were in accordance with the Declaration of Helsinki. Patients and methods: This study was performed on 520 of 525 regularly followed DIPSS-PMF patients, as five patients have been lost to follow up after the original publication. Results: Updated median follow up was of 4.1 years (range, 0.1–30.1). At the time of analysis 326 (63%) patients died, of whom 194 due to known causes: 69 AML, 16 non-AML disease progression, 21 bleeding, 17 thrombosis, 33 infections, 38 other. Median survival was 6 years (95% CI: 5.1–6.7). DIPSS stratification allowed different survivals in PMF patients even with a longer follow-up (Figure 1). Hence, to assess the time to DIPSS-category progression, we evaluated the median time spent within each risk group. This estimate revealed that the median time spent in each risk category was: 4.9 years in LR (range, 0–26.7), 2.1 years in Int-1R (range, 0–18.7), 1.7 years in Int-2R (range, 0–13.4), and 0.74 years in HR (range, 0–13.7). To investigate the prognostic role of the DIPSS score on survival, we analyzed the score as a categorical time-dependent covariate in a Cox survival regression model: the hazard ratio of shifting category from LR to Int-1R was 5.0 (95% CI: 2.4–10.6; P <0.001), it was 3.6 when shifting from Int-1R to Int-2R (95% CI: 2.6–4.9; P <0.001), and 2.7 (95% CI: 2.0–3.6; P <0.001) from Int-2R to HR. Conclusion: The updated analysis shows that the DIPSS model continues to predict survival in patients with PMF. Disclosures: No relevant conflicts of interest to declare.

Abstract Background In a seminal report (NEJM 2011;30:2496), ASXL1, TP53, EZH2, ETV6 and RUNX1 mutations in myelodysplastic syndromes (MDS) were shown to carry an adverse prognostic impact that was independent of the international prognostic scoring system (IPSS) (Blood 1997;89:2079). Two recent studies (Leukemia20 May 2016; doi: 10.1038/leu.2016.138; Leukemia. 2014;28:241) have proposed mutation-enhanced prognostic models that include the revised IPSS (IPSS-R) (Blood 2012;120:2454 ). In the current study, we applied targeted next generation sequencing (NGS) in order to examine the prognostic interaction between adverse mutations and IPSS-R. Methods The study population was recruited from our institutional database of patients with primary MDS, based on availability of archived DNA from the time of diagnosis. The diagnosis of MDS and leukemic transformation (LT) was made according to WHO criteria (Blood. 2009;114:937). Targeted capture assays were carried out, on bone marrow DNA specimens, for the following genes: TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, Tp53, SH2B3, RUNX1, CBL, NRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF, and SETBP1.Specific variants were deemed as mutations if they are associated with a hematologic malignancy (as identified by COSMIC database), or if they have not been associated with a dbSNP. Results Patient characteristics and type and number of mutations: 179 patients were evaluated (median age 73 years; 68% males). IPSS-R risk distribution was 11% very high, 18% high, 16% intermediate, 39% low and 16% very low. At least one mutation was seen in 139 (78%) patients including 17% with one mutation, 29% with 2, 20% with 3, 10% with four, 2% with 5 and one patient with 6 mutations. The most frequent mutations were ASXL1 (30%), SF3B1 (20%), TET2 (17%), U2AF1 (16%) and SRSF2 (16%). Mutation clusters and clinical correlates: ASXL1 mutations were associated with the absence of SF3B1 (p=0.007), U2AF1 (p=0.01) and SRSF2 (p=0.003) mutations; SF3B1 with absence of U2AF1 (p=0.004) and SRSF2 (p=0.004) mutations; and U2AF1 with absence of SRSF2 mutations (p=0.01). Clinical correlates of ASXL1 mutations included older age, lower hemoglobin, and lower risk karyotype; SF3B1 with higher leukocyte count, higher platelet count, lower bone marrow blast percentage and lower risk karyotype; TET2 with older age and higher hemoglobin. Univariate overall and leukemia-free survival analysis before and after adjusting for IPSS-R: In univariate analysis, ASXL1, RUNX1 and TP53 mutations adversely and SF3B1 favorably affected survival; only ASXL1 mutations retained significance when analysis was adjusted for IPSS-R (HR 1.5, 95% CI 1.0-2.1; p=0.03). For leukemia-free survival, univariate analysis identified SRSF2, which was near-significant for overall survival (p=0.06), and RUNX1 mutations as adverse and SF3B1 mutations as favorable risk factors; SRSF2 (HR 4.1, 95% CI 1.6-10.2) and SF3B1-unmutated (HR 5.9, 95% CI 1.1-31.5) retained their significance when adjusted for IPSS-R. A borderline significance (p=0.07) indicating inferior survival for patients with three or more mutations was fully accounted for by the significant (P<0.0001) association between the presence of ASXL1 mutations and higher number of mutations. Multivariable analysis with individual IPSS-R variables: When the five IPSS-R variables (hemoglobin, platelets, absolute neutrophil count, bone marrow blast percentage and karyotype) were analyzed (both as continuous and IPSS-R-defined categorical variables) with each one of the aforementioned mutations with significant effect on overall or leukemia-free survival, only ASXL1 retained its significance for overall survival (HR 1.6, 95% CI 1.1-2.3) and SRSF2 (HR 5.2, 95% CI 2.1-13.3) for leukemia-free survival. Other IPSS-R variables that retained their significance for survival, in the presence of ASXL1 mutation status as a covariate, included hemoglobin level, platelet count and karyotype. Conclusions: In our cohort of 179 molecularly-annotated patients with newly-diagnosed primary MDS, ASXL1 and SRSF2 mutations were identified as IPSS-R-independent risk factors for overall and leukemia-free survival, respectively. The current study also suggests the need to re-evaluate currently established risk factors, in the context of prognostically-relevant molecular information. Disclosures No relevant conflicts of interest to declare.

Abstract Abstract 2836 Background: The clinical phenotype of systemic mastocytosis (SM) is highly variable; establishing prognosis in terms of overall survival or risk of transformation to aggressive disease for those with non-indolent and indolent disease variants, respectively, is not trivial. Similar to other clonal hemopathies, mast cell (MC) activation and/or stromal response to clonal MC expansion likely results in a dysregulated immuno cellular/cytokine profile; analysis of this aspect of SM may provide additional prognostic information within the context of well established parameters such as the World Health Organization (WHO) SM classification system. Here, we conducted a comprehensive analysis of circulating cytokines/chemokines with clinicopathologic and clinical outcome correlations in a cohort of SM patients seen at our institution. Methods: The diagnosis of SM and its subclassification were established according to WHO criteria. Inclusion in this study required availability of archived plasma, bone marrow biopsy, and cytogenetic information at the time of first referral. Follow up information including data on survival and disease progression were updated in July 2012. Concentrations of plasma cytokines were analyzed in duplicate by using Multiplex Bead-Based Luminex technology (Invitrogen, Carlsbad, CA). Results: Forty six SM patients met the above stipulated criteria; 25 (54%) were male and the median age at referral was 61 years (range 21–85). Subclassification of patients per WHO criteria was: indolent SM (ISM) 23 (50%), aggressive SM (ASM) 8 (17%) and SM with associated clonal hematological non-MC lineage disease (SM-AHNMD) 15 (33%). When the distribution of 30 cytokines was considered across the 3 SM sub groups, only interleukin (IL)-8 was significantly different (SM-AHNMD > ISM/ASM; p=0.0002). For ISM patients, increased levels of sIL-2R were associated with presence of B-findings (p=0.0046) including splenomegaly (p=0.001) and serum tryptase levels >200 ng/mL (p=0.0046), and decreased levels of IL-8 and hepatocyte growth factor (HGF) with MC mediator-release symptoms (p <0.05). Increased levels of sIL-2R (r2=0.6; p<0.0001) and RANTES (r2=0.37; p=0.0013) were correlated with bone marrow MC burden, and sIL-2R (r2=0.34; p=0.004) and MIG (r2=0.42; p=0.0012) with serum tryptase levels in ISM patients; similar findings were noted for the overall cohort. At a median follow up of 28 months (range 0–116), 20 (43%) deaths, and 3 (13%) and 1 (2%) transformations to ASM and mast cell leukemia, respectively, were recorded for the overall cohort. In univariate analysis, increased sIL-2R levels were predictive for inferior overall survival (p=0.005); this prognostic significance was maintained in multivariate analysis after adjusting for other known prognostic variables individually (i.e. WHO SM subtypes, age >65 years, hemoglobin <10 g/dL, thrombocytopenia, weight loss or hypoalbuminemia) (all p <0.05). Increased sIL-2R (>75th percentile) effectively stratified patients in the overall cohort into 2 well-delineated risk groups for overall survival (median survival 109 vs. 26 months; p=0.0004) (Figure). This sIL-2R threshold was also able to risk stratify patients within ISM (median survival not reached vs. 38 months) and non-ISM (median survival 31 vs. 5 months) categories (p <0.0001). Conclusions: The current study demonstrates s-IL2R to be a key inflammatory cytokine in SM; it is significantly correlated with a phenotype of high systemic MC burden and in this regard, is an attractive surrogate for treatment response in clinical practice, if validated. The predictive value of sIL-2R for overall survival is akin to similar observations in primary myelofibrosis and diffuse large B-cell lymphoma; in this study, it was noted to be independent of conventional measures of organopathy from MC infiltration, and thus may reflect a novel pathogenetic process in SM, mediated by dysregulated inflammatory and/or immuno cellular pathways. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: CD123 (alpha chain of the interleukin-3 receptor [IL-3RA]) heterodimerizes with CD131 (βc, common beta chain) to constitute the high-affinity receptor for IL-3. CD123 is not expressed on hematopoietic stem/progenitor cells from normal bone marrow (BM). In contrast, CD123 is highly expressed in CD34+/CD38- cells from acute myeloid leukemia (AML) patients, which recapitulate the leukemic phenotype in NOD/SCID mice; CD123, therefore, is a marker for leukemic stem cells in AML (Jordan CT et al., Leukemia 2000). CD123 is also highly expressed on CD4+/56+ leukemic cells in patients with blastic plasmacytoid dendritic cell neoplasm (BPDCN), an aggressive hematodermic neoplasm. The validity of CD123 as a rational therapeutic target was illustrated by clinical efficacy data for SL-401, a biologic target therapy directed to IL-3R, in patients with BPDCN and AML, respectively (Frankel AE et al., Blood 2014 andFrankel AE et al., J Clin Oncol 31, 2013 (suppl; abstr 7029)). Objectives: To study CD123 expression as a potential therapeutic target in myeloproliferative neoplasms (MPN). Methods: The study was approved by our institutional review board and patients provided written consent for sample collection. MPN diagnosis was based on WHO 2008 criteria. Surface antigen expression on hematopoietic cells of various lineages was interrogated using the 4-color multiparametric flow cytometer, FACSCaliber TM (BD Biosciences, San Jose, CA). Data analysis was performed using CellQuest Pro Software (BD Biosciences). Results: We studied a total of 21 MPN patients and 3 normal controls. Of the former, 14 patients had systemic mastocytosis (SM) (indolent SM=9, SM with associated myeloid neoplasm=4 and aggressive SM=1), 6 had primary myelofibrosis (PMF) and 1 had eosinophilic leukemia transformed to AML. Normal controls: Three normal BM samples were studied; the number of CD123 positive cells in the total population was <1%. Rare CD34+/CD38- cells were uniformly CD123-. Of the CD123+ cells, only a minor subset (<10%) coexpressed myeloid/granulocyte lineage (CD13+, CD15+ or CD16+) or monocyte/macrophage lineage (CD14+ or CD11b+) markers. Systemic mastocytosis: The data were informative for 6 patients (3 with peripheral blood [PB], 1 with BM, and 2 with paired PB and BM samples) for whom a sufficient number of mast cells (MC) were identified for immunophenotyping. Neoplastic MC were defined as CD117 hi/SSC hi/CD45 hi/CD34-/CD25+/FcεRI+. CD123 expression was seen in the majority of MC for 4 patients (#1-4, CD123 percentage positive, PB/BM): 91%/n.a. (#1), 75%/81% (#2), 84%/n.a. (#3), and 88%/n.a. (#4). In contrast, one patient (#5) had a minority of CD123+ MC (33%/28%). Clonal eosinophilia: PB was studied; the WBC differential count showed 41% leukemic blasts and 57% eosinophils (both confirmed to be clonally related based on FISH studies). Both cell populations were predominantly CD123+ (≥90%). Primary myelofibrosis: We studied PB samples from 6 PMF patients. Approximately 1-2% of circulating cells marked as CD123+; of these, expression was notable on CD34-/CD38+ cells (median 54%; range 41-74% positive). We found a larger proportion (30-50%) of CD123+ cells that coexpressed CD13+, CD16+ or CD11b+ representing monocytes, immature myeloid cells and granulocytes, as compared to normal BM controls. Studies on BM samples from PMF patients are ongoing. Conclusions: CD123 (IL-3RA) is expressed on relevant primary cells of interest in select MPNs, namely neoplastic mast cells in SM patients and eosinophils in clonal eosinophilia patients. In PMF, a minor population of circulating cells was CD123+ with a biased distribution on myeloid lineage cells as compared to normal BM samples. We are currently studying CD123 expression in additional MPN patients, and also analyzing CD123 expression on BM trephine biopsies by immunohistochemistry. In addition, the cytotoxicity assessment of SL-401 against MPN cell lines and primary cells is ongoing. Overall, the aforementioned data support the clinical development of SL-401 in patients with MPNs and clinical trials are currently being planned. Disclosures Brooks: Stemline Therapeutics: Employment, Equity Ownership. Pardanani:Stemline Therapeutics Inc.: Research Funding.