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Abstract Background: Myelodysplastic syndrome (MDS) is a heterogeneous disease characterized by cytopenias and a propensity to progress into acute myeloid leukemia in a subset of patients. Clinical trials which led to FDA approval of hypomethylating agents (HMAs) stratified patient's risk status per the IPSS. In 2008, WHO further categorized patients into different groups and the IPSS was revised into the IPSS-R. Therefore, there is a paucity of data regarding the response rates and clinical outcomes of HMA therapy when stratified per WHO subtype and IPSS-R. Goal: We carried this review to assess whether WHO subtypes or IPSS-R had a differential response with corresponding impact on survival. Methods: After IRB approval, all MDS pts who received hypomethylating agents (HMA) (azacitidine or decitabine) with available response data (2000-2014) were included. Clinical characteristics were obtained retrospectively. IPSS-R (Greenberg 2012) was used for risk stratification. Response assessment was based on IWGR 2006 criteria. Statistical comparisons were performed with the χ2 test for categorical variables and the Wilcoxon test for continuous variables. Survival analysis was based on the Kaplan-Meier method and log rank test. For all analyses, P ≤ 0.05 was considered statistically significant. Results: We identified 823 pt in our MDS database; among those that received HMA therapy 70 patients (pts) had evaluable response data. The median age at diagnosis was 67 years (31-85) and 49 (70%) were males. MDS subtypes per WHO 2008 classification were 31(44%) RAEB1/2, 26(37%) RCMD, 10(14%) MDS-U, 2(3%) RARS, and 1(1%) MDS 5q. Fifteen (33%) patients had secondary MDS. 23(32%) developed AML, and median time to leukemic transformation was 14 months (7.8-21). Median time to start HMA was 2.7 months (0-77). Median follow up from initial diagnosis was 20 months (3-118) at which time 22(31%) deaths were documented. A. Patient characteristics: Prior to HMA therapy median laboratory values included; Hemoglobin 9.6 g/dL (6.6-14.8), ANC 1.1 x1010 (0.01-16), Platelet 66 x1010 (4-937), peripheral blast % 0 (0-18), and bone marrow blast % 5 (0-17). IPSS-R for our cohort was as the following, 15(27%) Very high, 14(25%) high, 10(18%) intermediate 12(21%) low, and 5(9%) very low risk. B. HMA Response rates based on WHO subtype: We observed no significant difference in response (p = 0.6) when comparing response rate among different groups. Response rates per WHO subtype were as follows: i. RAEB: 7 (22%) pts achieved CR/Marrow CR, 1(3%) had HI/PR, 17(55%), and 6(20%) had stable disease (SD) and progressive disease (PD), respectively. ii. RCMD: 2 (8%) pts achieved CR/Marrow CR, 4(16%) had HI/PR, 12(46%), and 8(30%) had SD and PD, respectively. iii. MDS-U: 1 (10%) pt achieved CR/Marrow CR, 1(10%) had HI/PR, 6(60%), and 2(20%) had SD and PD, respectively. iv. MDS 5q/RARS: 1(33%) had SD, and the remaining three pts had PD. C. HMA Response rates based on IPSS-R: i. Very low: 1(20%) had HI/PR, 3(60%), and 1(20%) had SD. ii. Low: 2(17%) pts achieved CR/Marrow CR, 3(25%) had HI/PR, 4(33%), and 3(25%) had SD and PD, respectively. iii. Intermediate: 2 (20%) pts achieved CR/Marrow CR, 5(50%), and 3(30%) had SD and PD, respectively. iv. High: 2(14%) pts achieved CR/Marrow CR, 2(14%) had HI/PR, 7(50%), and 3(21%) had SD and PD, respectively. v. Very high: 1(7%) pts achieved CR/Marrow CR, 9(60%), and 5(33%) had SD and PD, respectively. Comparing responses among IPSS-R risk stratification groups, was not statistically significant (p = 0.49). We did not observe a difference in response rate when we further classified pts into low risk (very low, low & intermediate), and high risk (high, very high) (p = 0.27). D. Response effect on Survival: Overall survival was not statistically different among responders (CR/Marrow CR/HI &PR) and non-responder (SD & PD); 22.3 vs 14.7 months respectively (p = 0.21) (Figure1). Conclusion: Using contemporary MDS risk stratification and WHO classification was not predictive of response to hypomethylating agents. Responders did not seem to benefit from prolongation of survival. Given the small sample size in this cohort, this should be further explored in larger groups to identify if there are any potential subgroups that would benefit more from such therapy. Figure 1. Figure 1. Disclosures Al-Kali: Celgene: Research Funding.

Abstract Background: Acute erythroleukemia (AML-M6) is an aggressive myeloid leukemia, with poor outcomes (median survival < 12months). In 2008, the WHO further sub-classified this disease into two subgroups- erythroid leukemia and pure erythroid leukemia, based on the number of erythroblasts and myeloblasts. We carried out this study to evaluate differences in presenting features and outcomes between erythroid leukemia and pure erythroid leukemia. Methods: After due IRB approval, out of 923 AML, 43(4.6%) pts who met the 2008 WHO criteria for acute erythroleukemia (2000-2014) were identified, and clinical characteristics retrospectively reviewed. A diagnosis of erythroid leukemia (M6a) was considered if > 50% of the total nucleate BM cells were of erythroid lineage and > 20% of non-erythroid cells were myeloblasts. Pure erythroid leukemia (M6b) was diagnosed in pts who presented with > 80% of BM nucleate cells consisting of immature erythroid precursors. Cytogenetic risk stratification was based on NCCN AML guidelines. Statistical comparisons were performed with the χ2 test for categorical variables and the Wilcoxon test for continuous variables. Univariate and multivariate analyses were performed with the Cox logistical regression. Survival analysis was based on the Kaplan-Meier method and log rank test. For all analyses, P ≤ 0.05 was considered statistically significant. Results: The median age at diagnosis was 65 years (27-90) and 34(79%) were male. 30 (69%) had M6a and 13 (30%) had M6b. 27 (62%) had de novo AML M6, whereas 16 (37%) had secondary AML (9 underlying MDS and 7 therapy related).The median time to leukemic transformation for pts with underlying MDS was 8 months (2-83). Median follow up in our cohort was 7.2 months (2-157) at which time 13 (30%) deaths were documented. A. Patient characteristics: At time of diagnosis median laboratory values included; Hemoglobin 8.5 g/dL (4.6-11), WBC 2x109 (0.7-11.1), ANC 0.47x109 (0.01-4.07), Platelet 33x 109 (7-177), peripheral blast % 2 (0-35), and bone marrow blast % 11 (0-84). Cytogenetic information was available in 38 pts; of which 6(16%) were diploid, 21(55%) were complex/monosmal and 1(3%) was complex/non monosomal. Intermediate risk cytogenetic was observed in 15 pts (39%), and poor risk cytogenetic was identified in 23(61%). Comparing M6a and M6b, we observed that pts with M6a tend to have more leukopenia and neutropenia and higher marrow blast percentage compared to M6b (Table 1). None of the patients experienced extramedullary disease or CNS involvement. B. Outcome and prognostics: We did observe a trend towards worse survival in pts with M6b, 7 months vs 12.9 months with M6a (p= 0.08) (Figure 1). There was no difference in survival in acute erythroleukemia compared to other acute myeloid leukemias, 10.1 vs 14 months (p= 0.28), respectively (Figure 2). In univariate analysis, WBC, ANC, and cytogenetic risk impacted survival (Table 2), however only cytogenetic risks retained significance in the multivariate model; Intermediate risk HR 0.18 (0.05-0.51; p = 0.0009) and poor risk HR 5.4 (1.9-17.6; p = 0.0009). Conclusion: Acute Erythroid Leukemia is a rare leukemia with ~5% incidence in our cohort. We observed that regardless of the percentage of bone marrow erythroblasts and myeloblasts, survival in patients with Acute Erythroleukemia are predominantly impacted by cytogenetic risk stratification. This raises a question on the clinical relevance of the sub-categorization of acute erythroleukemia into erythroid leukemia and pure erythroid leukemia. Larger studies are needed to validate our results. Figure 1. Figure 1. Disclosures Al-Kali: Celgene: Research Funding.

Abstract Background : Neutrophil PRV-1 over-expression has been strongly associated with polycythemia vera (PV) and its quantitative measurement might complement the diagnostic distinction between PV and secondary polycythemia (Klippel et al. Blood2003;102:3569). Furthermore, the PV-specificity of the particular abnormality had been suggested by studies that demonstrated increased PRV-1 expression in post-polycythemic but not agnogenic myeloid metaplasia (Tefferi et al. Blood2003;103:3547) as well as by other studies that suggested the inevitable progression into PV of essential thrombocythemia (ET) associated with PRV-1 over-expression (Griesshammer et al. Ann Hematol2004;83:364). Still others have suggested the possibile utility of the particular assay in differentiating clonal from reactive myeloproliferation (Cilloni et al. Blood2004;103:2428). Methods : The purpose of the current study was two-fold; i) to further evaluate the specificity of neutrophil PRV-1 over expression to either PV or clonal myeloproliferation by testing the assay in atypical myeloproliferative disorders (AMPD) and ii) to evaluate eosinophil PRV-1 expression in AMPD associated with eosinophilia. In a prospective study, 13 patients with AMPD and 2 with reactive eosinophilia were evaluated for neutrophil PRV-1 expression (table 1). PRV-1 transcript quantitation was performed according to published methods (Klippel et al. Blood2003;102:3569). PRV-1 gene expression was considered elevated in the presence of a PRV-1/GAPDH ratio of 1.17 or lower. Table 1 Patient Diagnosis Neutrophil PRV-1/GAPDH ratio Neutrophil PRV-1 expression 1 Chronic myelomonocytic leukemia associated with myelofibrosis 1.05 Increased 2 FIP1L1/PDGFRA-positive eosinophilic disorder 1.39 Normal 3 FIP1L1/PDGFRA-positive eosinophilic disorder 1.19 Normal 4 FIP1L1/PDGFRA-positive eosinophilic disorder 1.10 Increased 5 Biphenotypic acute leukemia with prominent blood eosinophilia 0.99 Increased 6 Hypereosinophilic syndrome with cardiac involvement 1.15 Increased 7 Hypereosinophilic syndrome with cardiac involvement 1.13 Increased 8 Hypereosinophilic syndrome with sinus involvement 1.29 Normal 9 Reactive eosinophilia associated with atopic dermatitis 1.09 Increased 10 Reactive eosinophilia associated with T cell skin lymphoma 1.22 Normal 11 Aggressive systemic mastocytosis associated with chronic myelomonocytic leukemia 1.08 Increased 12 Aggressive systemic mastocytosis associated with myelofibrosis 1.09 Increased 13 Aggressive systemic mastocytosis with circulating mast cells 1.29 Normal 14 Indolent systemic mastocytosis 1.20 Normal 15 Indolent systemic mastocytosis 1.18 Normal In addition, eosinophil PRV-1 expression was measured in 2 patients from the above cohort (patients 3 and 8) and 3 additional patients with hypereosinophilic syndrome (HES). Results : Table 1 outlines specific diagnoses as well as the corresponding neutrophil PRV-1 expression levels in all 15 patients tested (median age 54 years, range 20–74; 11 males). Eosinophil PRV-1 expression was normal in all 5 patients tested (range of PRV-1/GAPDH ratio between 1.20–1.39). Conclusion : The current study suggests that neutrophil PRV-1 over-expression is a non-specific marker of clonal myeloproliferation that is seen in a broad spectrum of both typical and atypical myeloid disorders. As has been the case in ET, only a subset of AMPD patients display the specific abnormality, thus undermining its diagnostic utility. The preliminary information from the current study does not suggest increased eosinophil PRV-1 expression in either HES or clonal eosinophilia.

Abstract Abstract 4931 Background: Autoimmunity, evidenced by positive serology or autoimmune diseases, has been noted to co-exist in pts with MDS. Autoimmune dysfunction has been found in some pts with a variant of MDS called hypocellular MDS, where immune suppressant medications have role in treatment. Clinical implications of AI on survival are not well described. Aim: To study clinical influence of autoimmunity on pts with LR-MDS. Methods: All adult pts diagnosed with LR (RCUD, RARS, and RCMD) MDS at the Mayo Clinic between 1996 to 2000 were studied. Retrospective data collection included pts' demographics, laboratory tests, bone marrow biopsies, treatment modalities and survival information. Autoimmunity (AI) was considered present if pts had evidence of positive serological testing (such as rheumatoid factor (RF), anti-nuclear antibodies (ANA), antineutrophil cytoplasmic antibodies (ANCA)) and/or were diagnosed with autoimmune diseases (such as rheumatoid arthritis, vasculitis, autoimmune hemolytic anemia (AIHA), immune thrombocytopenia (ITP)). IRB approval was obtained in accordance with Helsinki Declaration. Chi-Square, t-test and Anova were used for comparatives between groups, and Kaplan-Meier test was applied for survival estimates using JMP 9. 0 software. Results: A total of 134 adult pts were found to have LR-MDS at the time of their diagnosis. Sixty-six percent (89) were males, 13% (17) had antecedent hematological disease (AHD), and only 7% (9) had prior radio- or chemotherapy. Thirty-nine (29%) had evidence of AI. At the time of diagnosis, pts' median Hgb was 9. 3 g/dL, white blood cells (WBC) 4. 1×109/L, and platelets 151×109/L. On comparison, there was no difference between pts with AI (group 1) to the rest of the sample (group 2) (p = 0. 12, 0. 85 and 0. 23, respectively). Bone marrow cytogenetics were abnormal in 42% (56) pts, with 44 pts have one cytological anomaly, and only 2 have four anomalies. Twenty-four pts (18%) had RCUD, 60 (44%) RARS and 50 (37%) RCMD, as defined by World Health Organization (WHO) classification (Vardiman et al, 2008). Karyotype anomalies within the three WHO classes were found in 12/19 pts (63%), 15/52 pts (29%), and in 29/42 pts (70%), respectively. Of note, among those with karyotype anomalies, the mean number of cytogenetic abnormalities was significantly different across the three categories (F=6. 89, p=. 0014), with means of 0. 5, 0. 3, and 0. 9 respectively. Seven pts (5%) progressed into acute myeloid leukemia. Seventy percent of pts (94) remained as stable disease. Of the 134 pts studied, 39 (29%) were found to have evidence of AI, with 24/48 (50%) had abnormal serological tests, and 29/134 (21%) had an autoimmune disease. When tested, positive RF was found in 7/25 (28%), ANA in 14/42 (33%), anti dsDNA in 1/11 (9%), anti SS-A/-B in 2/3 (66%), ANCA in 1/12 (8%), anti-smooth muscle in 1/2 (50%), and anti-histone in 1 pt. As per autoimmune diseases, rheumatoid arthritis was identified in 6 pts (4%), vasculitides in 9 (7%), AIHA in 4 pts (3%), Sjögren syndrome in 3 (2%), myositis in 2 (1. 4%), ITP in 2 pts (1. 4%). There was no difference in AI frequency based on WHO classification (p 0. 17) or based on cytogenetic grouping (p 0. 37). Overall survival in pts with LR-MDS was found to be lower in group 1 as compared to group 2 but did not reach statistical significance (p=0. 109), with median survival of 40 months and 81 months, respectively. Conclusion: AI is a frequent finding in pts with LR-MDS, seen in up to 29% of pts. On comparison there was no difference in hematological parameters of both groups with or without AI (CBC, cytogenetics, and WHO classification). There was no survival difference in LR-MDS pts with AI compared to pts without AI. Larger size studies are needed to confirm our findings. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 4930 Background: Autoimmune disorders have been observed in pts with myeloid neoplasms but their frequency and impact on the natural history of the myeloid neoplasms remains to be defined. Aim: To describe the frequency and prognostic impact of autoimmunity in pts with CMML. Methods: After IRB approval, a retrospective chart review of all pts diagnosed with CMML at Mayo Clinic between 1994 – 2011. Autoimmunity (AI) was defined as positive serologic tests (Anti-nuclear antibodies (ANA), rheumatoid factor (RF), anti –cyclic citrullinate peptide (CCP), and antineutrophil cytoplasmic antibodies (ANCA)), diagnosis of connective tissue disease (Rheumatoid arthritis, RA), vasculitis, or auto-immune thrombocytopenia (ITP). Survival estimates were calculated using Kaplan-Meier estimates and Cox regression model for multivariate analysis for via JMP software v. 9. Results: During the study period, 288 pts with CMML were evaluated at Mayo Clinic, 35% (n=100) were female. Median age at diagnosis was 71yr (20–95). Median hemoglobin was 11 g/dL(6–16), median white blood cell (WBC) 12 x109/L (1–302), and median platelet count 86 x109/L (1–1110). Median peripheral blood (PB) and bone marrow (BM) blasts were 0 and 5 respectively, while median PB and BM monocytes were 20% and 8% respectively. Eight-nine percent of pts had CMML1, while 10% had CMML2 and only 2 pts had CMML transforming into acute myeloid leukemia (-t). Karyotype analysis performed in demonstrated normal (diploid) karyotype in 180 (63%) pts and complex karyotype in 31 pts (11%). JAK2 mutation analysis was performed in 76 pts, 13% (10/76) of which were positive for JAK2V617F mutation. Autoimmunity was found in 46 (16%) of 288 pts. When tested, positive ANA, RF, CCP, and ANCA were found in 28/89 (31%), 8/61 (13%), 1/20 (5%), and 7/25 (28%), respectively. However, RA was reported positive in 6/288 (2%), and vasculitis was reported in only 4 pts. Median overall survival of the 288 patients was 496 days. Pts with evidence of autoimmunity had a median survival of 400 days compared to 527 days to the rest of the group (p 0. 73). On multivariate analysis, autoimmunity was not an independent risk factor for survival (p 0. 15), but age, platelets, WBC and body mass index (BMI) were independent factors. Conclusion: Autoimmunity is a frequent finding in pts with CMML. When tested, autoimmune antibodies were very frequent up to 31% of pts with CMML, but this did not confer into higher frequency of autoimmune diseases. Presence of positive autoimmune antibodies did not affect overall survival adversely. Disclosures: No relevant conflicts of interest to declare.