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Abstract Abstract 3839 BACKGROUND: We have previously reported on the validation of the 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) to assess symptomatic burden in an international sample of MPN patients (pts), including validation in English, Italian, Swedish, German, French, Spanish, and Dutch. We desired to assess the utility of an average total symptom score (TSS) from the most pertinent and representative MPN symptoms for purposes of assessing the burden of symptoms in MPN pts, and subsequent tracking in response to therapy. METHODS: Data was collected among an international cohort of MPN pts and their physicians, including patient demographics and disease features and completion the BFI, MPN-SAF and the EORTC-QLQ-C30. Among pts who completed at least 5 of 10 specific items on the BFI and MPN-SAF, an average score was calculated as the TSS. TSS items included “worst” fatigue from the BFI and 9 items from the MPN-SAF including concentration, early satiety, inactivity, night sweats, itching, bone pain, abdominal discomfort, weight loss and fever. The TSS thus had a possible range of 0–10 with 10 representing the highest level of symptom severity. Data was then analyzed for internal consistency, and divergent, convergent validity, and construct validity. RESULTS: Patient Demographic and Disease Characteristics:1433 MPN pts were prospectively enrolled (Argentina 22, France 482, Germany 59, Italy 186, Netherlands 236, Puerto Rico 10, United Kingdom 57, United States 102, Spain 157, Sweden 114, Uruguay 8) including 594 ET, 538 PV and 293 MF pts (8 missing; MF: 61% Primary MF, 23% post-ET MF, 15% post-PV MF). 1408 pts completed at least 5 of the 10 items necessary to calculate a TSS. Pts were of characteristic age (mean 62, range 20–94) and gender (54% female) common to disease. TSS Burden of MPN Symptoms: Consistent with prior studies, the majority of pts (>50%) were symptomatic in each TSS item except for items associated with high disease severity, namely bone pain (48.6%), weight loss (30.6%) and fever (18.4%). Fatigue carried the highest symptom intensity (4.4, SD=2.8), followed by problems with concentration (2.5, SD=2.8) and early satiety (2.5, SD=2.7). Overall mean TSS was 2.1 (SD=1.6). Divergent Validity: TSS significantly differed among MPN disease subtypes (p<0.001) with means of 1.9 (SD=1.5), 2.2 (SD=1.6), and 2.5 (SD=1.7) for ET, PV, and MF pts, respectively. Statistically significant differences in TSS were also observed between pts with clinically deficient (>4, n=480) versus non-clinically deficient QOL (<4, n=894; mean 3.3 versus 1.5; p<0.001). When comparing to MD perceptions, TSS was significantly higher when MDs rated >2 of 6 common MPN-related symptoms as clinically significant (2.8, n=400) versus <2 symptoms (1.6, n=726; p<0.001). No significant trends were observed when comparing disease type by the presence of a current medical therapy. Convergent Validity: The TSS was strongly correlated with patient-reported QOL (r=0.59, p<0.001). Overall excellent correlations existed between the TSS and EORTC-QLQ-C30 functional subscales (all p<0.001 and r>0.50 except social functioning [r=0.48]). Additionally, excellent correlations were observed between the TSS and EORTC-QLQ-C30 fatigue and pain symptom scales (r>0.5, p<0.001). Internal Consistency and Construct Validity: The TSS had excellent internal consistency (Cronbach's alpha=0.83). Factor analysis identified a single underlying construct among the 10 TSS items (significant eigenvalues being >1). Factor loadings ranged from 0.43 for fever and weight loss to 0.71 for inactivity. The single factor suggests that the arithmetic mean of the 10 items is an appropriate global TSS score. CONCLUSION: The TSS demonstrated excellent psychometric properties. Overall, results of validity and internal consistency indicate that the TSS is a concise, valid, and accurate assessment of symptom burden among MPN pts. This new scoring will facilitate ease of implementation of the MPN-SAF into larger clinical trials and reduce ambiguity associated with interpreting response outcomes. Future analyses to investigate the impact of therapies on TSS are ongoing. Disclosures: No relevant conflicts of interest to declare.

Abstract Purpose Although CD49d is an unfavorable prognostic marker in chronic lymphocytic leukemia (CLL), definitive validation evidence is lacking. A worldwide multi-center analysis was performed using published and unpublished CLL series to evaluate the impact of CD49d as overall survival (OS) and treatment free survival (TFS) predictor. Patients and Methods A training/validation strategy was chosen to find the optimal CD49d cut-off. The hazard ratio (HR) for death and treatment imposed by CD49d was estimated by pooled analysis of 2,972 CLL, and Cox analysis stratified by center and stage was used to adjust for confounding variables. The importance of CD49d over other flow cytometry-based prognosticators (CD38, ZAP-70) was ranked by recursive partitioning. Results Patients with ≥30% of neoplastic cells expressing CD49d were considered CD49d+. The decrease in OS at 5 and 10-years among CD49d+ cases was 7% and 23% (decrease in TFS 26% and 25% respectively). The pooled HR of CD49d for OS was 2.5 (2.3 for TFS) in univariate analysis. This HR remained significant and of similar magnitude (HR=2.0) in a Cox model adjusted for clinical and biological prognosticators. Hierarchical trees including all cases, or restricted to early stage or patients ≤65 years, always selected CD49d as the most important flow-cytometry-based biomarker, with negligible additional prognostic information added by CD38 or ZAP-70. Consistently, by bivariate analysis, CD49d reliably identified patients' subsets with poorer outcome independent of CD38 and ZAP-70. Conclusions In this analysis of ∼3000 patients, CD49d emerged as the strongest flow cytometry-based predictor of OS and TFS in CLL. Disclosures: Shanafelt: Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding. Burger:Pharmacyclics: Research Funding.

Abstract Abstract 3846 INTRODUCTION There is strong evidence indicating that the clear-cut separation of prefibrotic primary myelofibrosis (PMF) from essential thrombocythemia (ET) by consequent application of the World Health Organization (WHO) 2008 criteria is reflected in different, well defined clinical pictures and divergent prognoses (Barbui et al, JCO 2011,Thiele et al, Blood 2011). Very recently the specific risk profile for arterial and venous thrombosis in WHO- diagnosed ET was published (Carobbio et al, Blood 2011). In PMF so far all published data on vascular events were exclusively based on overt disease manifestations until now there are no data available regarding prefibrotic stages. Consequently, we aimed to evaluate the corresponding risk profile of patients with WHO-diagnosed prefibrotic PMF. METHODS A total number of 264 patients with WHO-defined prefibrotic PMF derived from either the Medical University of Vienna or an International Database (Barbui et al, JCO 2011) were studied. Nonfatal thrombotic events considered in this study were reported as rates per 100 patient-years and included transient ischemic attacks, thrombotic cerebrovascular accidents, coronary artery disease, myocardial infarction, peripheral arterial disease, deep vein thrombosis of peripheral vasculature, pulmonary embolism, and abdominal large vein thrombosis. Cardiovascular risks factors considered, comprised of arterial hypertension, diabetes mellitus and tobacco use. To evaluate risk factors for total thrombosis and for arterial and venous events in particular multivariate Cox- regression analysis including the co-variables sex, age, previous thrombotic event, laboratory parameters measured at diagnosis and need for cytoreductive and/or antiplatelet therapy during follow-up was calculated. P values less than 0.05 were considered as statistically significant. RESULTS After a median follow- up of 5.8 years (range0.0 – 27.2), the total rate of non fatal thrombotic events was 2.1% patient-years (95% CI, 1.5–2.8); the incidence of arterial events was higher (1.7% patient- years) than of venous events (0.6% patient-years).Considering thrombosis in general a higher white blood cell (WBC) count enhances the risk significantly (p=0.005; HR 1.15). This is also true in arterial events in particular (p=0.047; HR 1.12). A lower platelet count is associated with a higher risk for thrombotic events; for thrombosis in general this association is of borderline significance (p=0.056; HR 0.99), for arterial thrombosis in particular of significance (p= 0.042; HR 0.99). A lower hemoglobin level is associated with a higher risk for venous thrombosis (p=0.007; HR 0.59). CONCLUSION Leukocytosis appears as a risk factor for thrombosis in general and also for arterial thrombosis in particular in WHO-diagnosed prefibrotic PMF. Moreover, higher platelet counts seem to decrease significantly the risk for thrombotic events in general and arterial thrombosis in particular. Anemia is associated with a higher risk for venous thrombosis. These observations are partly in line with recently published findings in WHO-diagnosed ET (Carobbio et al,2011) and might indicate the existence of a specific risk profile for thrombotic events in prefibrotic PMF. This is the first study reporting data on the risk profile for thrombosis in WHO-diagnosed prefibrotic PMF. Certainly these findings ask for validation in a larger patient population. Disclosures: Gisslinger: Novartis: Speakers Bureau; Celgene Austria: Research Funding, Speakers Bureau; AOP-Orphan Pharmaceuticals AG: Speakers Bureau. Vannucchi:Novartis: Honoraria.

Abstract Abstract 3833 Background: Survival in primary myelofibrosis (PMF) is assessed by the Dynamic International Prognostic Scoring System (DIPSS) (Blood 2010;115:1703) and DIPSS-plus (JCO 2011;29:392). The latter is based on eight risk factors including age>65 years, constitutional symptoms, hemoglobin <10 g/dL, red blood cell transfusion need, leukocyte count >25 × 109/L, platelet count <100 × 109/L, peripheral blood (PB) blasts ≥1% and unfavorable karyotype. Recent studies have highlighted the prognostic significance of monosomal karyotype (MK) (Blood 2011;117:5612), unfavorable karyotype (Leukemia 2011;25:82) and platelet count <100 × 109/L ((JCO 2011;29:392), for leukemic transformation (LT) in PMF. Methods: A combination of multivariable and receiver operating characteristic (ROC) analyses were applied to a Mayo Clinic database of 884 karyotypically-annotated patients with PMF, in order to define karyotype-dependent and karyotype-independent risk models for LT. The karyotype-independent model was further validated in a separate cohort of 525 PMF patients from an international database (Blood 2010;115:1703). Patients in the Mayo cohort were evaluated at time of referral and those of the international database at time of initial diagnosis. Results I: Sixty cases of LT were documented. Karyotype (categorized into MK, inv(3)/i(17q) abnormalities, other unfavorable, and favorable), PB blast percentage (as a continuous variable), and platelet count (as a continuous variable) were the most reliable (p<0.01) in predicting leukemia-free survival (LFS). The best discriminant levels for inferior LFS were MK (HR 6.2, 95% CI 2.2–17.1), inv(3)/i(17q) abnormalities (HR 7.6, 95% CI 1.8–33.3), PB blast ≥2% (HR 2.4, 95% CI 1.4–4.2) and platelet count ≤41 × 109/L (HR 2.6, 95% CI 1.3–5.1). MK and inv(3)/i(17q) abnormalities were subsequently consolidated into one “very high risk” cytogenetic category (n =27), with a corresponding HR of 6.6 (95% CI 2.7–16.0). HR-based risk scores were assigned to “very high risk” karyotype (2 points), PB blast ≥2% (one point) and platelet count ≤50 × 109/L (one point) to classify patients into low (no adverse points; n =522), intermediate (one adverse point; n =290) and high risk (two or more adverse points; n =72) groups; the corresponding 3-year LT rates were 3%, 10% (HR 2.6; 95% CI 1.4–4.6) and 35% (HR 9.4, 95% CI 4.7–18.7) (Figure 1). Results II: The karyotype-independent model was based on PB blast percentage and platelet count only; low-risk (no adverse points; n =525), intermediate-risk (one adverse point; n =311) and high-risk (two adverse points; n =48); the corresponding 3-year LT rates were 3%, 12% (HR 3.1, 95% CI 1.8–5.4; p<0.0001) and 25% (HR 6.0, 95% CI 2.6–14.1). The karyotype-independent model was validated in a separate cohort of 525 PMF patients with 70 documented cases of LT, from an international database (Blood 2010;115:1703). Conclusions: The current leukemia risk models are applicable at diagnosis or during follow-up, in the presence or absence of cytogenetic information, and complement DIPSS-plus in the comprehensive prognostication of patients with PMF. Disclosures: Vannucchi: Novartis: Honoraria.

Abstract Background Fedratinib (SAR302503) is a JAK2-selective inhibitor that has provided clinically meaningful reductions in MF-associated splenomegaly and symptoms in Phase I and II studies (J Clin Oncol 2011;29:789. Haematologica 2013;98:S1113). Here, we present efficacy and safety data from the Phase III JAKARTA study of fedratinib versus placebo in patients with MF (NCT01437787). Methods In this international double-blind, placebo-controlled, 3-arm study, patients aged ≥18 years with IPSS intermediate-2 or high-risk MF, platelet count ≥50 × 109/L, and splenomegaly were randomized (1:1:1) to receive placebo or fedratinib 400 mg or 500 mg, orally, once daily, in consecutive 4-week cycles. Patients who received placebo were eligible to cross-over to fedratinib (randomized 1:1 to 400 mg or 500 mg) following 6 cycles of treatment, or prior to Cycle 6 if the patient had disease progression. The primary endpoint was spleen response rate (RR) (≥35% reduction in spleen volume from baseline measured by MRI or CT at Week 24, and confirmed 4 weeks later). Secondary endpoints included symptom RR (≥50% reduction in total symptom score from baseline at Week 24, measured through a daily electronic eDiary using the modified Myelofibrosis Symptom Assessment Form [Cancer 2011;117:4869. Blood 2011;118:401]), and safety of fedratinib. Results A total of 289 patients were randomized: median age 65 years; 59% male; 63% primary MF; 48% high-risk MF; 67% JAK2V617F positive; 16% platelet count <100 × 109/L; median baseline spleen volume 2568 mL (range 316–8244); median baseline total symptom score 14.7 (0–57). Median (range) exposures for placebo, 400 mg and 500 mg groups were 24 (2–34), 30 (1–55) and 28 (1–60) weeks, respectively. Spleen RRs at Week 24 (placebo 1%; 400 mg 47%; 500 mg 49%), and confirmed at Week 28 (placebo 1%; 400 mg 36%; 500 mg 40%), were significantly (p<0.0001) higher in both fedratinib groups compared with placebo (Table). Nineteen patients had a spleen response at Week 24 not confirmed 4 weeks later (spleen reduction 25–35% [n=10]; image not available/evaluable [n=8]; image taken outside time window [n=1]). Spleen RRs by baseline platelet level are shown in the table. Patients treated with fedratinib had significantly (p<0.0001) greater improvements in MF symptoms compared with placebo (Table). The most common all grade non-hematologic treatment-emergent adverse event (TEAE) was diarrhea (16%, 66% and 56% of patients in the placebo, 400 mg and 500 mg groups, respectively). Grade 3/4 diarrhea was reported in 5% of patients in both the 400 mg and 500 mg dose groups. The most common hematologic TEAE was anemia (any grade 91%, 99% and 98%; Grade 3/4 25%, 43% and 60% in the placebo, 400 mg and 500 mg groups, respectively). Rates of Grade 3/4 thrombocytopenia were 9% (placebo), 17% (400 mg), and 27% (500 mg). Incidences of Grade 3/4 liver function tests (placebo/400 mg/500 mg) were: bilirubin, 2%/2%/1%; ALT, 0%/3%/3%; and AST, 1%/2%/2%. Overall treatment discontinuation rates up to 24 weeks of treatment were 25% (placebo), 22% (400 mg) and 32% (500 mg). Twenty-five patients died during the study (10, 5 and 10 in the placebo, 400 mg and 500 mg groups, respectively); the most common causes of death: disease progression (placebo [n=5]; 400 mg [n=3]; 500 mg [n=4]) and adverse events (placebo [n=4]; 400 mg [n=1]; 500 mg [n=4]). Conclusions In this Phase III, randomized, placebo-controlled, 3-arm study of 289 MF patients, treatment with fedratinib 400 mg or 500 mg once-daily demonstrated clinically meaningful and statistically significant reductions in splenic volume and MF-associated symptom burden versus placebo. Fedratinib had an acceptable safety profile, with the adverse events reported consistent with those observed in previous studies. This study was sponsored by Sanofi. Disclosures: Pardanani: Sanofi, Bristol Myers Squibb, PharmaMar and JW Pharma: Clinical trial support Other. Harrison:Novartis: Research Funding; Novartis, Sanofi, YM Bioscience, Celgene, SBio, Gilead: Honoraria; Novartis, Sanofi, Shire: Speakers Bureau; Novartis, Sanofi, YM Bioscience, SBio, Gilead: Membership on an entity’s Board of Directors or advisory committees. Cortes:Incyte, Sanofi: Consultancy; Incyte, Sanofi: Research Funding. Cervantes:Novartis: Speakers Bureau; Novartis and Sanofi: Membership on an entity’s Board of Directors or advisory committees. Mesa:Incyte, Genentech, Lilly, MS Pharma, Gilead: Research Funding. Jourdan:Sanofi: Honoraria. Vannucchi:Novartis: Membership on an entity’s Board of Directors or advisory committees. Drummond:Sanofi, Novartis, Celgene: Honoraria; TargeGen, Novartis: Speakers Bureau; Sanofi, Novartis, Celgene: Consultancy. Passamonti:Novartis, Celgene, Incyte, Sanofi, Roche: Honoraria. Neumann:Sanofi: Employment. Gao:Sanofi: Employment.

Abstract Background Myelofibrosis (MF) is a clonal myeloproliferative neoplasm (MPN) associated with a high degree of symptomatology, progressive cytopenias and potential to transform into acute myelogenous leukemia (AML). Thrombocytopenia amongst MF patients is a proven negative prognostic indicator and predictor of transformation to AML. Ruxolitinib is an effective JAK inhibitor for MF symptoms and splenomegaly, but is not indicated in patients with severe thrombocytopenia. Phase III trials of pacritinib have shown alleviation of the MF symptom burden amongst patients with thrombocytopenia (ASCO 2015 Mesa et. al.). In this study, we assessed the symptom burden of MF patients with significant thrombocytopenia who were naïve to pacritinib. Methods Data was assessed from a prospectively collected international database of MF patients in which demographics, disease features, and MF symptoms utilizing the myeloproliferative neoplasm symptom assessment form (MPN-SAF; Scherber et al, 2011). The MPN-SAF includes the patient's perceptions of common MPN-related symptoms and overall quality of life (QOL) on a 0 (absent) to 10 (worst imaginable) scale. Total symptom score (TSS) was computed based on symptom items using the published scoring algorithm on a 0 (all reported symptoms absent) to 100 (all reported symptoms worst imaginable) scale. MF risk scores were calculated using the DIPSS criteria (Gangat, 2011). Thrombocytopenia was defined as a platelet count <100 x 10(9)/L, anemia was defined as hemoglobin<10 g/dL and leukopenia was defined as a white blood cell count <4.0 x 10(9)/L. Associations between the MPN-SAF individual symptoms were investigated using Pearson correlations. Results Demographic and Disease Features: A total of 418 patients with (n=89) and without (n=329) thrombocytopenia completed the MPN-SAF. Patients with thrombocytopenia were slightly younger (57.4 vs. 61.0, p=0.01) with longer disease durations (11.9 years vs. 8.8 years, p=0.0489) and had a higher prevalence of primary myelofibrosis (PMF; 82% vs. 66%, p=0.01). The presence of thrombocytopenia was associated with other laboratory abnormalities including anemia (60.7% vs. 25.3%, p<0.001) and leukopenia (34.8% vs. 52.3%, p<0.001), along with the need for red blood cell transfusions (34.8% vs. 14.6%, p<0.001). Patient cohorts did not differ by gender, DIPSS risk score, history of prior thrombosis or hemorrhage. In comparing patients with severe thrombocytopenia (<50 x 10(9)/L, n=43) to those with moderate thrombocytopenia (51-100 x 10(9)/L, n=46), severe thrombocytopenia patients were more likely to have anemia (74.4% vs. 47.8%, p=0.01) and require red blood cell transfusions (51.2% vs. 19.6%, p=0.002). Symptoms Scores for individual MPN-SAF items were assessed for each subgroup. Patients with thrombocytopenia had markedly higher total symptom scores than patients without thrombocytopenia (32.8 vs. 24.1, p<0.001). Individual scores were also higher for most items (fatigue, early satiety, inactivity, dizziness, sad mood, sexuality, cough, night sweats, itching, fever, weight loss, overall QOL)[Figure 1]. No significant differences in MPN SAF TSS or individual symptom scores were observed in comparing severe vs. moderate thrombocytopenia patients. Discussion MF patients with thrombocytopenia have distinctive clinical characteristics and face a significantly more severe symptom burden. Importantly, despite thrombocytopenia being a recognized risk factor for disease advancement, no correlations are noted between patient symptomatology and risk category. In addition, patients with severe thrombocytopenia do not differ symptomatically from patients with moderate thrombocytopenia despite having more severe anemia, leukopenia and transfusion requirements. This implies that the degree of symptomatology expressed by thrombocytopenic MF patients occurs independent from the exact platelet value. Conclusion The results of this study suggest that patients with thrombocytopenia will benefit from aggressive symptomatic control, potentially from targeted agents. Figure 1. MF Symptoms in Patients With and Without Thrombocytopenia Figure 1. MF Symptoms in Patients With and Without Thrombocytopenia Disclosures Kiladjian: Novartis: Consultancy; Novartis: Other: Travel grant; Research Funding paid to institution (Hôpital Saint-Louis et Université Paris Diderot); Incyte Corporation: Consultancy. Zweegman:Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: 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. Harrison:Shire: Speakers Bureau; CTI Biopharma: Consultancy, Honoraria, Speakers Bureau; Sanofi: Honoraria, Speakers Bureau; Gilead: Honoraria; Novartis: Honoraria, Research Funding, Speakers Bureau. Cervantes:Novartis: Consultancy, Speakers Bureau; Sanofi-Aventis: Consultancy; CTI-Baxter: Consultancy, Speakers Bureau. Barbui:Novartis: Speakers Bureau. Etienne:ARIAD: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: Congress Travel/Accomodations, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau. Roy:BMS: Consultancy, Research Funding; Novartis: Consultancy, Research Funding. Vannucchi:Shire: Speakers Bureau; Novartis Pharmaceuticals Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Baxalta: Membership on an entity's Board of Directors or advisory committees. Mesa:Novartis. Research- incyte, Gilead, cti, Genentech, promedior, NS Pharma: Consultancy.

Abstract Background: The Philadelphia chromosome negative myeloproliferative neoplasms (MPNs), including essential thrombocythemia (ET), polycythemia vera (PV) and myelofibrosis (MF) all have a time dependent risk of progression to either an advanced myelofibrotic state (post ET/PV MF) and/or to acute myeloid leukemia. The impact of disease duration upon the MPN symptom burden is not well understood, nor are the precise mechanisms of disease progression. We sought to better understand the impact of disease duration on MPN symptom burden. Methods: Symptom burden data was collected utilizing the Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF) amongst MPN patients, collected at the time of an office visit in an international cohort of MPN patients as previously described (Scherber et. al.). Symptom burden assessment was a previously validated 27-item symptom burden questionnaire scored on a 0-10 scale (0= as good as it can be, 10 = as bad as it could be). The patient or provider was asked to report the time since MPN diagnosis. MPN duration was determined to be early if the diagnosis was established between 0 to 5 years ago, intermediate if the diagnosis was established between 6 to 10 years ago, and late if the diagnosis was established 11 years ago or more. Anemia was defined as a red blood cell count less than 10 g/dL, leukopenia was defined as a white blood cell count was below 4 x 109, and thrombocytopenia if the platelet count was below 150 x109. Statistical significance was calculated using ANOVA f-test and chi squared. Results: Patient demographics and disease burden: A total of 1443 patients responded to the survey, including 592 (41%) ET, 549 (38%) PV, and 302 (21%) MF patients, including 181 (60%) primary MF, 67 (22%) post-ET MF, and 54 (18%) post-PV MF. Among MF patients, mean duration of MPN diagnosis was 9 years, and mean duration MF diagnosis was 4.7 years. Among respondents, 757 fit criteria for early disease duration, 353 fit criteria for intermediate disease duration, and 333 fit criteria for late disease duration. Respondent mean age was 62 years and approximately half of respondents were female (55%). Patients with longer diagnosis duration tended to be older (p=0.009) and were most likely to have anemia (0.02), leukopenia (p=0.01), or thrombocytopenia (p=0.03). These individuals were also most likely to have a history of hemorrhage (p=0.007) or require red blood cell transfusions (p<0.001). Combined cohort symptom burden: On average among the combined cohort of ET, PV and MF patients, symptoms tended to worsen with time with this effect being significant for symptom items of fatigue (BFI, p<0.04), concentration (p=0.007), insomnia (p=0.02), sexual difficulties (p=0.002), cough (p=0.03), night sweats (p=0.002), and pruritus (p=0.02). Symptoms of early satiety (p=0.004), concentration difficulties (p=0.01), insomnia (p=0.03), sexual difficulties (p=0.02), cough (p=0.01), and night sweats (p=<0.001) had significantly higher prevalence in those with longer disease duration. Similarly, the total calculated MPN-10 score (p=0.008) and quality of life assessment (0.03) demonstrated worsened outcomes with time (Table 1). No significant differences in symptoms for the combined cohort were observed among individuals diagnosed 0 to 1 years ago compared to those with a diagnosis established between 2 and 5 years ago. Symptom burden in MPN subtypes. When evaluating specific MPN types, patients with essential thrombocythemia experienced significantly greater sexual difficulties over time (p=0.03). The severity (p=0.01) and incidence (p=0.03) of pruritus and incidence of night sweats (p<0.001) were significantly increased over time for individuals with PV. For those with MF, the severity (p= 0.01) and incidence (p=0.009) of cough also significantly increased with longer diagnosis duration. Discussion Overall, significant worsening in symptom burden can be recognized over time for individuals diagnosed with MPNs. Diagnosis may not necessarily correlate with disease duration as the timing of diagnosis may be delayed from onset of disease. Given the intent of this abstract to evaluate changes with disease duration, we did not investigate correlations between symptom burden and cytopenias. We do know that risk factors for survival in the MPNs include older age and thrombosis, however, disease duration should be investigated as an alternative marker of burden in future survival studies. Disclosures Harrison: CTI Biopharma: Consultancy, Honoraria, Speakers Bureau; Shire: Speakers Bureau; Gilead: Honoraria; Novartis: Honoraria, Research Funding, Speakers Bureau; Sanofi: Honoraria, Speakers Bureau. Kiladjian:Incyte Corporation: Consultancy; Novartis: Other: Travel grant; Research Funding paid to institution (Hôpital Saint-Louis et Université Paris Diderot); Novartis: Consultancy. Zweegman:Celgene: Research Funding; Janssen: Research Funding; Takeda: Research Funding. Barbui:Novartis: Speakers Bureau. Etienne:Novartis: Consultancy, Honoraria, Other: Congress Travel/Accomodations, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; ARIAD: Consultancy, Honoraria, Speakers Bureau. te Boekhorst:CTI Biopharma: Consultancy; Novartis: Consultancy. Vannucchi:Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Other: Research Funding paid to institution (University of Florence), Research Funding; Shire: Speakers Bureau; Baxalta: Membership on an entity's Board of Directors or advisory committees. Mesa:Novartis. Research- incyte, Gilead, cti, Genentech, promedior, NS Pharma: Consultancy.

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

Abstract Abstract 4104 Background: The International Prognostic Scoring System (IPSS) for primary myelofibrosis (PMF) uses five predictors of inferior survival: age > 65 years, hemoglobin < 10 g/dL, leukocytes > 25 × 109/L, circulating blasts ≥ 1% and constitutional symptoms (Cervantes F et al. Blood 2009; 113: 2895). The dynamic IPSS (DIPSS) utilizes the same prognostic variables but can be applied at any time during the disease course (Passamonti F et al. Blood 2010; 115: 1703). IPSS-independent risk factors for survival have since been described and include unfavorable karyotype, red cell transfusion need and platelets < 100 × 109/L. Objectives: i) To determine if the aforementioned IPSS-independent risk factors for survival in PMF (i.e. unfavorable karyotype, red cell transfusion need and platelets < 100 × 109/L) are also DIPSS-independent. ii) To develop and validate a refined DIPSS model that incorporates DIPSS-independent prognostic factors for survival. iii) To establish a prognostic model for leukemia-free survival in PMF. Methods: The Mayo Clinic database for PMF was used to identify patients in whom bone marrow histologic and cytogenetic information was obtained at the time of their referral. WHO criteria were used for PMF diagnosis and leukemic transformation (Vardiman JW et al. Blood 2009; 114: 937). None of the patients in the current study were included in the original group of patients used to describe DIPSS (Passamonti F et al. Blood 2010; 115: 1703). Results: A total of 793 patients met the above-stipulated criteria. The study population was divided into two groups based on whether or not patients were seen at the Mayo Clinic within (n=428; training set) or beyond (n=365; test set) their first year of diagnosis. i) Objective 1: Multivariable analysis that included DIPSS risk category (low, intermediate-1, intermediate-2 and high risk), karyotype (favorable or unfavorable), platelet count (≥ or <100 × 109/L) and transfusion status (independent or dependent) was performed using the training set and all four variables were found to be significant as independent predictors of survival (p<0.0001, <0.0001, 0.0008 and 0.01, respectively). ii) Objective 2: Using the respective hazard ratios (HR) obtained during the multivariable prognostic analysis in the training set, HR-weighted adverse points were assigned: 3 points for high-risk DIPSS, 2 points for intermediate-2 risk DIPSS, and 1 point each for intermediate-1 risk DIPSS, unfavorable karyotype, platelets < 100 × 109/L or transfusion need. Accordingly, a refined DIPSS model (i.e. DIPSS-plus) was devised using the training set (Figure 1) and subsequently validated in the test set (Figure 2): low-risk (0 adverse points), intermediate-1 risk (1 adverse point), intermediate-2 risk (2-3 adverse points) and high-risk (4-6 adverse points). Considering the entire group of 793 study patients, the respective median survivals were 185, 78, 35 and 16 months (p<0.0001). ii) Objective 3: Multivariable analysis identified platelet count (p=0.0007) and karyotype (p=0.04) but not DIPSS or transfusion status as independent predictors of leukemia-free survival. We used these two variables to classify patients into a low (favorable karyotype and platelets ≥ 100 × 109/L) or high (unfavorable karyotype or platelets < 100 × 109/L) risk category for leukemic transformation; the respective 5- and 10-year risk of leukemic transformation were 6% and 12% vs. 18% and 31%, respectively (p<0.0001; HR 3.3, 95% CI 1.9–5.6). Conclusions: DIPSS-plus effectively incorporates prognostic information from karyotype, platelet count and transfusion status into the DIPSS prognostic model for PMF. Unfavorable karyotype or platelets <100 × 109/L is associated with a significantly higher risk of leukemic transformation in PMF. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: Patients (pts) with polycythemia vera (PV) and essential thrombocythemia (ET) suffer from disease related events linked to risk of vascular events, splenomegaly, progression to myelofibrosis/acute leukemia, and disease related symptoms arising from both elevated cytokines and issues of vascular flow. Impact of front line therapy on ET/PV symptoms has not been reported in a systematic fashion. Methods: MPD-RC 112 trial (NCT01258856) enrolled cytoreductive therapy naïve (hydroxyurea [HU] <3 mo) pts with high risk ET or PV within 3 years of diagnosis. Pts were randomized (1:1, stratified by ET vs PV) to either response adjusted pegylated interferon alpha 2a (PEG) or HU. MPN symptoms, treatment toxicities, and quality of life (QoL) were measured by the MPN-SAF and EORTC QLQ-C30 at baseline and 3, 6, 9, and 12 mo. PEG related toxicities were assessed with 5 questions on PEG arm only. European Leukemia Net (ELN) complete hematological responses (CHR) at 12 mo were determined by central blinded review. Individual time point and longitudinal group comparisons were based on mixed models adjusting for age. T-tests were used to compare change scores at 12 mo between pts with and without CHR. Results: Patients: MPD-RC 112 enrolled 168 pts from 9/2011 to 7/2016, with 75 pts included in the interim analysis. 73 (97%; HU 37, 95%; PEG 36, 100%) completed surveys at baseline of which 66 (90%; HU 30, 81%; PEG 36, 100%) completed at least 1 survey during treatment. Median age was 60 (range 19-84) with 32 (44%) females; 30 (41%) / 43 (59%) with ET / PV; 19 (26%) had a history of thrombosis; and 16 (22%) had palpable spleen. Baseline characteristics where balanced between arms with the exception of age (median age: HU 66, PEG 54; p<0.001). Baseline Symptom Burden/QoL: Mean MPN-SAF Total Symptom Score (TSS, scale 0 [absent]-100 [worst imaginable]) was 15.4 (SD 12.5; range 0-52.2) with means of 12.6 (SD 11.7) / 17.3 (SD 12.7) for ET / PV which were somewhat better than reported means of a previous cohort receiving any line of treatment (ET mean 18.7, SD 15.3; PV mean 21.8, SD 16.3; Emanuel RM, JCO 2012). Symptoms (scale 0 [absent]-10 [worst imaginable]) with the highest prevalence (score >0) included fatigue (65/73, 89%) and insomnia (47/73, 64%). The symptom with the lowest prevalence was fever (8/72, 11%). Mean QLQ-C30 global health status/QoL (GHS/QoL) was 73.3 (SD 19.1) which is comparable to a general healthy population (mean 71.2, SD 22.4) and better than a general cancer population (mean 61.3, SD 24.2; QLQ-C30 Reference Manual 2008). TSS, symptoms, and QoL did not differ between arms. Impact of Therapy on Symptom Burden/QoL: On HU, pts initially experienced worsening of TSS, fatigue, early satiety, itching, bone pain, and fever (all p<0.05) with some symptoms returning to baseline after 6 mo (Table 1). On PEG, pts experienced improved abdominal pain and discomfort, but worsening of headache, cough, injection site irritation, blurry vision, and vision change (all p<0.05). Sad mood did not worsen on PEG, although this may be confounded by concurrent use of mood stabilizers. Concentration problems on PEG were significantly worse at 9 mo (p=0.04). Both arms experienced worsened QoL (MPN-SAF single item: HU p=0.009, PEG p=0.003). In comparing between arms, TSS significantly differed (p=0.009) with higher symptoms on HU vs PEG at 3 and 6 mo, but lower symptoms at 9 and 12 mo (Figure 1). Similar descriptive profiles were observed for most individual symptoms; however, the only symptom profiles which significantly differed between arms was early satiety (p=0.03). ELN Response and Symptom Burden/QoL: Among 62 pts with symptom and response data at 12 mo, CHR rate was 37% (23/62). Change in sad mood and sexuality were the only significant differences between pts with and without CHR regardless of arm though in the unanticipated direction (sad mood: mean change 1.5 vs -0.8, p<0.001; sexuality: mean change 2.33 vs 0.3, p=0.03). Conclusions: PEG was associated with an initial decrease in MPN symptom burden when compared to HU. However, with longer duration of therapy, this superiority dissipated. Patient-reported PEG toxicities worsened over time. On both arms, symptom worsening was observed in pts achieving an ELN CHR, possibly leading to the observed negative impact on mood and sexuality. Future research on the impact of PEG on disease progression and molecular features will be important to assess whether increased side effects with PEG are justified. Disclosures Mesa: CTI: Research Funding; Celgene: Research Funding; Promedior: Research Funding; Gilead: Research Funding; Incyte: Research Funding; Galena: Consultancy; Ariad: Consultancy; Novartis: Consultancy. Harrison:Incyte Corporation: Honoraria, Speakers Bureau; Baxaltra: Consultancy, Honoraria, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Shire: Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: travel, accommodations, expenses, Research Funding, Speakers Bureau. McMullin:Novartis: Honoraria, Speakers Bureau. Yacoub:Alexion: Honoraria; Seattle Genetics: Consultancy, Honoraria, Speakers Bureau; Incyte: Consultancy, Honoraria, Speakers Bureau. Kiladjian:Novartis: Honoraria, Research Funding; AOP Orphan: Membership on an entity's Board of Directors or advisory committees, Research Funding. Mead:Novartis: Honoraria, Research Funding, Speakers Bureau. Kessler:Pfizer: Consultancy; Octapharma: Consultancy, Research Funding; Novo Nordisk: Consultancy, Research Funding; Grifols: Consultancy; Genentech: Consultancy, Research Funding; Biogen: Consultancy; Bayer: Consultancy, Research Funding; Baxalta: Consultancy, Research Funding; LFB: Other: Member of DSMB. Ritchie:Pfizer: Honoraria; Novartis: Honoraria; Arian: Speakers Bureau; Celgene: Speakers Bureau; Incyte: Speakers Bureau. Schlenk:Pfizer: Honoraria, Research Funding; Amgen: Research Funding. Mascarenhas:Promedior: Research Funding; Janssen: Research Funding; CTI Biopharma: Research Funding; Novartis: Other: DSMB , Research Funding; Roche: Research Funding; Incyte: Other: Clinical Trial Steereing Committee, Research Funding.