Passamonti, Francesco

Abstract Abstract 277 Background: Current information on the natural history of polycythemia vera (PV) is mostly derived from early studies based on the PV Study Group diagnostic criteria. The World Health Organization (WHO) diagnostic approach to PV is currently the gold standard. The main objective of the current study was to describe survival, disease complication rates and risk factors in WHO-defined PV. Methods: Under the auspices of an International Working Group, seven international centers of excellence for myeloproliferative neoplasms submitted a total of 1,430 patients, locally diagnosed with “WHO-defined PV”. The two principle investigators (AT and TB) reviewed all the cases and selected 1,263 patients who were age 18 years or older, diagnosed after 1970, and whose submitted data included diagnostically essential information. Results I: Presenting Features: Median age was 60 years (range, 18–95; 51% females). The number of patients diagnosed between 1970–1990, 1991–2000, and 2001–2011 were 136 (11%), 337 (27%) and 790 (62%), respectively. Arterial/venous thrombosis history before or at diagnosis was documented in 142/73 and 80/42 patients, respectively. Other features at diagnosis included pruritus (37%), microvascular disturbances (29%), palpable splenomegaly (37%), abnormal karyotype (13%), and leukoerythroblastosis (6%). History of hypertension (45%), hyperlipidemia (17%), diabetes (9%), and tobacco use (15%) was also obtained. Results II: Clinical Course: To date, 228 (18%) deaths, 42 (3%) leukemic progressions, and 101 (8%) fibrotic transformations have been recorded. Post-diagnosis arterial or venous thrombosis occurred in 139 (11%) and 85 (7%) patients, respectively. Cytoreductive therapy had not been used in 342 (27%) patients whereas 154 (12%) patients were exposed to two or more cytoreductive drugs. Results III: Risk Factors: Multivariable analysis identified advanced age, leukocytosis, venous thrombosis history and abnormal karyotype as significant (p<0.01) risk factors for overall survival (OS). Receiver operating characteristic (ROC) plots delineated ages 69 (AUC 0.83) and 59 (AUC 0.61) years and leukocyte count 13 × 109/L (AUC=0.61) as the best discriminant levels in this regard; HR (95% CI) were 11.4 (7.7–16.9) for age ≥70 years, 3.8 (2.6–5.7) for age 60–69 years, and 2.0 (1.5–2.6) for leukocyte count ≥15 × 109/L. Results IV: Risk Stratification: HR-based risk scores were assigned to age ≥70 years (3 points), age 60–69 years (2 points) and leukocyte count ≥15 × 109/L (one point), in order to create four risk groups: low (zero points; n=492; median survival 322 months), intermediate-1 (one or 2 points; n=353; median survival 208 months; HR 3.8, 95% CI 2.5–5.8), intermediate-2 (3 points; n=286; median survival 132 months; HR 10.7, 95% CI 6.9–16.5), and high (4 points; n=56; median survival 90 months; HR 22.7, 95% CI 13.9–37.1) (Figure 1). Similar results were obtained when analysis was restricted to the 1,011 JAK2 mutation-positive patients (Figure 2). The particular risk model was equally robust in predicting leukemia-free survival (p=0.001). Conclusions: Age and leukocyte count matter the most in predicting survival in PV. The current study suggests additional prognostic value from karyotype and venous thrombosis history. Disclosures: Vannucchi: Novartis: Honoraria. Gisslinger:Novartis: Speakers Bureau; Celgene Austria: Speakers Bureau; AOP-Orphan: Speakers Bureau.

Abstract Abstract 5148 INTRODUCTION. Patients presenting with a clinical picture of essential thrombocythemia (ET) can actually have an early/prefibrotic myelofibrosis (PMF), according to current WHO criteria, in about 18% of cases. Laboratory tests which are significantly different in early/prefibrotic PMF as compared with histologically confirmed ET (WHO-ET) include decreased gender-matched hemoglobin (Hb), increased white blood cell (WBC), platelet (PLT) counts and lactate dehydrogenase (LDH) values. AIM. To evaluate sensitivity (SE) and specificity (SP) of blood cell counts and LDH, at presentation, for the diagnosis of early/prefibrotic PMF vs. WHO-ET. METHODS. Five hundred thirty-six cases (50%) who had complete laboratory data measured at diagnosis constituted the exploratory set of our study and were derived from an international ET database. The discriminatory ability of Hb, WBC, PLT and LDH in correctly classifying patients in the early/prefibrotic PMF or WHO-ET groups was initially tested by plotting their Receiving Operating Characteristic (ROC) curves and comparing the relative Areas Under the Curve (AUC) with the value of 0.50 (which stands for the completely useless of the test). Three parameters with statistically significant discriminatory power were chosen (Hb, WBC and LDH) and thresholds searched in order to guarantee at least 90% of SE or SP. Finally, a diagnostic algorithm was designed. The validation set of this analysis was constituted by 321 patients with WHO-ET (n=62) or early/prefibrotic PMF (n=259) diagnosed by the same pathologist who confirmed the training set cohort and collected in the Institute for Pathology, University of Cologne, Germany. SE and SP for the same parameters and thresholds as well as the final diagnostic algorithm were applied to this set of patients to demonstrate the results' reproducibility. RESULTS. Sensitivity and specificity to recognize early/prefibrotic PFM have been evaluated by ROC curves. The best performance was found for LDH (AUC = 0.7059). WBC and Hb had super imposable curves, with AUC of 0.6279 and 0.6257, respectively. The worst performance was registered for PLT count: its AUC was only 0.5628, not significantly different from the reference value of 0.50 (p=0.154). Thresholds of Hb, WBC and LDH were searched to achieve at least 90% of SE or SP. HB < 12 g/dL for women or <13 g/dL for men, and WBC >= 13 x109/L had higher SP (92% and 91%, respectively). High SP is highly related to the presence of early/prefibrotic PMF (true positives). On the contrary, LDH < 200 mU/mL and WBC < 7 x109/L had good sensitivity (91% and 94%, respectively). High SE is highly related to the absence of early/prefibrotic PMF (true negatives). By applying these SE and SP values in a step-by-step algorithm, nearly half of patients (48%) could be classified as WHO-ET or early/prefibrotic PMF, assuming at each step a margin of error of less than 10%. For the remaining 50% of patients, laboratory results didn't allow to suspect or exclude the presence of early/prefibrotic PMF. In the validation set of 321 patients classified by WHO 2008 as true ET or early/prefibrotic PMF (Cologne cohort) SP of anemia was 84%, WBC < 7 x109/L or >= 13 x109/L had 91% and 81% of SE and SP, respectively. LDH values < 200 mU/mL had 85% of SE. By applying the same flow-chart, 46% of patients were classified as WHO-ET or early/prefibrotic PMF. CONCLUSIONS. The present study provides clinicians with laboratory parameters that should increase suspicion of early/prefibrotic PMF in a patient with a working clinical diagnosis of ET. In fact, while patients presenting clinically with ET can now be discriminated as true ET or early/prefibrotic PMF by adopting the WHO 2008 criteria that require bone marrow histology, an algorithm including baseline anemia, WBC count and LDH, allows this differentiation in about 50% of patients with a good approximation. However, for a definitive proof, bone marrow histology is still an integral part for final diagnosis. Disclosures: Vannucchi: Novartis: Honoraria.

Abstract Abstract 3891 Poster Board III-827 Age over 65 years, hemoglobin level lower than 10 g/dL, WBC count greater than 25 × 109/L, peripheral blood blasts equal to or greater than 1%, and presence of constitutional symptoms provide a reliable prediction of survival in patients with primary myelofibrosis (PMF) at diagnosis [Cervantes et al. Blood. 2009 Mar 26;113(13):2895-901]. In fact, based on the presence of 0 (low risk), 1 (intermediate risk-1), 2 (intermediate risk-2) or greater than or equal to 3 (high risk) of the above factors, 4 risk groups with no overlapping in their survival curves were defined. To investigate whether the acquisition of these prognostic factors during follow-up may predict survival anytime, we studied 525 PMF patients regularly followed at each participating Institution from 1980 to 2008. The study was carried out within the IWG-MRT, and an ad hoc database was developed for data collection. Patients with post-polycythemia vera and post-essential thrombocythemia myelofibrosis, and patients with pre-fibrotic myelofibrosis were excluded from this study. Overall, 68 patients (26% of subjects who were below the age of 65 at diagnosis) passed the 65-year age threshold during the study period, 158 (47% of patients without this risk factor at diagnosis) developed anemia, 72 (15% of patients without this risk factor at diagnosis) presented marked leukocytosis, 102 (27% of patients without this risk factor at diagnosis) had more than 1% peripheral blast cells, and 54 (14% of patients without these symptoms at diagnosis) had constitutional symptoms. All variables resulted significant when analyzed as time-dependent covariates in a multivariable Cox proportional hazard regression model, and all of them were therefore included in the subsequent models. Each variable was assigned an integer weight close to the corresponding hazard ratio (HR), and the sum of values obtained was used to allocate the patients into 4 risk categories (low, intermediate-1, intermediate-2, high). We developed 2 separate models, one for all patients (DIPSS) and the other one for patients below the age of 65 (age-adjusted DIPSS), both applicable during the course of the disease. Cumulative survival can be estimated with the Kaplan Meier method. The increased risk of death when changing risk category was estimated as HR. According to DIPSS, the HR was: 4.13 (95% CI: 1.73-9.82; P < .001) if the risk category shifted from low to intermediate-1, 4.61 (95% CI: 3.18-9.82; P < .001) from intermediate-1 to intermediate-2, and 2.54 (95% CI: 1.94-3.31; P < .001) from intermediate-2 to high. According to age-adjusted DIPSS, the HR was 3.97 (95% CI: 1.5-10.5, P = .005) if the risk category shifted from low to intermediate-1, 2.84 (95% CI: 1.46-5.54; P = .002) from intermediate-1 to intermediate-2, and 1.81 (95% CI: 1.08-3.04; P = .025) from intermediate-2 to high. In conclusion, this study shows that age over 65 years, hemoglobin level lower than 10 g/dL, WBC count greater than 25 × 109/L, peripheral blood blasts equal to or greater than 1%, and the presence of constitutional symptoms predict survival independently and in a time-dependent manner in patients with PMF. Both DIPSS and age-adjusted DIPSS allow a reliable prognostic assessment of PMF patients at any time during the clinical course of the disease, and are therefore useful for clinical decision making. Disclosures: No relevant conflicts of interest to declare.

Abstract BACKGROUND: Both thalidomide (Br J Haematol2002;117:288) and lenalidomide (Blood2006;108:1158) are effective for alleviating anemia in approximately 20% of patients with myelofibrosis (MF). However, the value of these drugs is undermined by their respective potential for peripheral neuropathy and severe myelosuppression. In the current study, we evaluated the safety and efficacy of the new immunomodulatory drug, pomalidomide (POM) in MF. METHODS: This is a phase-2 randomized, multicenter, double-blind, active-control, parallel-group study to determine safety and select a “Best” dose of POM alone or combined with prednisone (PRED). Patients were equally randomized to 4 treatment groups: POM (2 mg/day) + placebo, PRED (30 mg/day) + placebo, POM (2 mg/day) + PRED (30 mg/day), and POM (0.5 mg/day) + PRED (30 mg/day). POM therapy was given for up to twelve 28-day treatment cycles. PRED therapy was given in a tapering dose schedule during the first three of these 12 treatment cycles. Protocol eligibility criteria included absolute neutrophil count of ≥ 1 × 109/L, platelet count of ≥ 50 × 109/L and hemoglobin level of < 10 g/dL including red blood cell (RBC) transfusion requirement. Patients with prior thalidomide or lenalidomide therapy and/or venous thrombosis were excluded from study participation. Response was assessed by the International Working Group for Myelofibrosis Research and Treatment (IWG-MRT) criteria (Blood.2006;108:1497) and by independent analysis of the component variables. RESULTS: A total of 104 patients with MF were assessed for eligibility; 85 were randomized and 84 received the assigned therapy. Blinded data for the first 82 patients are presented here; median age was 67 years and MF subtype was PMF in 70% of the patients and post-PV/ET MF in 30%. All patients belonged to either intermediate or high risk disease category (Blood1996;88:1013); 42 (51%) were RBC transfusion-dependent. Median duration of disease before randomization was 3 years (range 2–14). The number of patients assigned to each arm was relatively balanced: 21, 20, 19 and 22, respectively. After a median treatment duration of 3 months, 42 (51%) patients have discontinued protocol therapy because of lack of therapeutic effect (n=19), withdrawal of consent (n=11), adverse event (n=11) or death (n=2). Grade 3/4 adverse events (regardless of attribution) included anemia (10%), thrombocytopenia (9%), leukopenia (9%), fatigue (7%), dyspnea (5%), thrombosis (4%), diarrhea (4%) and hyperglycemia (4%). Combined response rate using IWG-MRT criteria was 25% (95% CI, 16–34%) and ranged between 11% and 42% among the four treatment arms. CONCLUSION: Pomalidomide, with or without concomitant prednisone therapy, is well tolerated in patients with MF, especially from the standpoint of myelosuppression. Response rates are high. Additional, unblinded, information regarding response details, remission duration and laboratory correlative studies will be presented at the meeting.

Abstract Survival of patients with primary myelofibrosis (PMF) is highly variable, ranging from months to even decades. Although treatment of PMF remains mostly palliative, the increasing use of allogeneic hemopoietic stem cell transplantation and introduction of newer therapies has raised the need for a better prognostic stratification of these patients. The initial features of 1,054 patients (638M/416F; median age 64 years, range 10–90) consecutively diagnosed with PMF in seven institutions from Europe and USA between 1980 and 2007 were evaluated for prognostic significance. Patients with the so-called “pre-fibrotic” form of PMF were not considered. The variables assessed were those previously shown to be of prognostic value in PMF, those clinically meaningful, and possible confounders (namely, diagnostic period and series of origin). The effect of the potential prognostic factors on survival was evaluated by the Cox proportional hazards regression and the proportional hazards assumption checked in every model by graphical methods and the Grambsch-Therneau test. A prognostic model was identified through a stepwise selection process, based on a z-test of the regression coefficients, and evaluated by calculating its discriminating power (measured by Harrell’s C concordance index), as compared to that of current PMF prognostic systems, and its positive predictive accuracy for actual survival longer (or shorter) than definite periods of time from diagnosis. The replicability of both the prognostic variables and the new prognostic score was tested by bootstrap re-sampling, in which 1,000 samples of the same size than the original series were built by random extraction with reposition. Median survival of the overall series was 69 months (95% CI: 61–76), with 49% of patients having died at the time of study. At multivariate analysis, five initial variables were associated with shorter survival: age > 65 years, constitutional symptoms (weight loss, fever, sweats), Hb < 10 g/dL, leukocyte count > 25×109/L, and blood blasts 1%. The hazard ratios of these variables did not differ substantially, ranging from 2.89 (95% CI: 2.46–3.61) for Hb < 10 g/dL to 1.80 (95% CI: 1.50–2.17) for blood blasts 1% and, therefore, one point was assigned to each one. Based on this, among the 1,001 patients of the series with all the necessary data available, four risk groups were identified with no overlapping in the 95% CI of their survival curves (figure): low risk (no factor, 22% of patients; median survival 135 months); intermediate risk-1 (one factor, 29% of patients; median survival 95 months); intermediate risk-2 (two factors; 28% of patients; median survival 48 months); and high risk (three factors, 21% of patients; median survival 27 months). The new prognostic score showed high predictive accuracy and replicability and had higher discriminating power than current risk-based PMF classifications. In the 409 patients with assessable metaphases, presence of cytogenetic abnormalities (observed in 30% of cases) was associated with shorter survival and contributed to prognosis, but only in patients in the intermediate-risk groups. No prognostic influence for either JAK2 V617F mutational status (n= 345) or blood CD34+ cell count (n= 150) was noted. This new prognostic scoring system substantially improves existing risk-based classifications of PMF and may help in treatment-decision making and in the design and analysis of newer therapies for the disease. Figure Figure

Abstract Background Severe anemia with RBC-transfusion-dependence is common in persons with advanced MPN-associated myelofibrosis. Pomalidomide, an immune-modulating drug with pleiotrophic bone marrow effects, improved anemia in several phase 2 studies. Method Phase 3 double-blind, placebo-controlled trial of pomalidomide (0.5 mg/d) in subjects with MPN-associated myelofibrosis and RBC-transfusion-dependence. The primary endpoint was RBC-transfusion-independence. Criteria for RBC-transfusion-dependence and -independence were based on results of an expert consensus panel RAND-Delphi study. Subjects 252 subjects were randomized 2:1 to receive pomalidomide or placebo with stratifications for age, type of myelofibrosis, and intensity of RBC-transfusions. Median age was 70 y. 75% had primary myelofibrosis. Median units (U) RBC-transfusions/28 d pre-randomization was 3 (range, 2-13). Results Response rates in the cohorts were similar (16% [95% CI, 11-23%] vs 16% [8-26%]), as were response durations. However, median time to response for pomalidomide was 7 w (range, 0-20 w) vs only 2 w (range, 0-15 w) for placebo (p=0.22). Response in both cohorts was more common in subjects with ≤4 vs >4 U RBC/28 d pre-randomization (OR=3.1 [p=0.09] and OR=8.6 [p=0.06]). However, other variables associated with response to pomalidomide: age ≤65 vs >65 y (OR=2.4; p=0.07) and primary myelofibrosis vs other (OR=2.6; p=0.14) and response to placebo: (WBC >25 vs ≤25 x10E9/L; OR=5.0; p=0.08) and interval from diagnosis to randomization >2 vs ≤2 y (OR=5.0; p=0.04) differed. These differences would not be expected were response to pomalidomide identical to response to placebo. Also, a center effect was found in placebo but not pomalidomide responders, which persisted after adjusting for predictive associations. Several pomalidomide responders lost response when therapy was stopped but regained it when pomalidomide was re-started. No pre-randomization therapy (iron-chelation, hydroxyurea, busulfan, folate) was consistently correlated with response to placebo, and durations of RBC-transfusion-dependence pre-randomization were similar between the cohorts. In contrast, platelet response rates, a 2̍° endpoint, were significantly different between the cohorts: pomalidomide, 22% (95% CI, 11-35%) vsplacebo, 0 (0-12%; p=0.006). Platelet response was not correlated with RBC-transfusion-independence response. Conclusion There was no significant difference in rate or duration of RBC-transfusion-independence response to pomalidomide vsplacebo despite using what were thought to be sensitive and specific entry- and response-criteria. Unexpectedly, however, most variables associated with response to pomalidomide and placebo differed between the cohorts, as did distribution of times to response. These data suggest responses to pomalidomide and placebo differ but were not distinguished by our response-criteria. Pomalidomide appears to reverse RBC transfusion dependence in some persons with MPN associated MF. However, additional research designs are needed to study this impression. This abstract is presented on behalf of all RESUME Investigators. Study registration: NCT01178281. Disclosures: Cervantes: Novartis: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Gilead: Membership on an entity’s Board of Directors or advisory committees; Sanofi: Membership on an entity’s Board of Directors or advisory committees; Celgene: Membership on an entity’s Board of Directors or advisory committees. Gisslinger:AOP Orphan Pharmaceuticals: Advisory Board Meeting Other, Honoraria; Novartis: Advisory Board Meeting, Advisory Board Meeting Other, Honoraria; Sanofi-Aventis: Advisory Board Meeting, Advisory Board Meeting Other, Honoraria; Shire: Advisory Board Meeting, Advisory Board Meeting Other, Honoraria; Celgene: Advisory Board Meeting Other, Honoraria; Janssen: Advisory Board Meeting, Advisory Board Meeting Other, Honoraria. Gupta:Incyte Corporation: Consultancy, Grant support through institution Other; Novartis: Consultancy, Grant support through institution, Grant support through institution Other, Honoraria. Harrison:SBio: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Shire: Speakers Bureau; Celgene: Honoraria; YM Bioscience: 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, Speakers Bureau; Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Gilead: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Kiladjian:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees; AOP Orphan: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding. Schiller:Celgene: Research Funding. Mesa:Gilead: Research Funding; Incyte: Research Funding; NS Pharma: Research Funding; Lilly: Research Funding; Genentech: Research Funding; Celgene: Research Funding.

Abstract Background The JAK1/JAK2 inhibitor ruxolitinib (RUX) is approved for treatment of myelofibrosis (MF). However, some patients do not respond to RUX, while others lose responsiveness or develop intolerance to RUX over time. Preclinical data also suggest that certain JAK2 mutations (eg the gatekeeper mutation M929I) may confer resistance to RUX (Leukemia 2012;26:708). Options for these RUX resistant/intolerant patients, particularly with regard to further JAK inhibitor therapy, are unclear. Fedratinib (SAR302503) is a JAK2-selective inhibitor which has demonstrated clinically meaningful reductions in splenomegaly and symptom burden in patients with MF, with an acceptable and consistent safety profile (J Clin Oncol 2011;29:789. Haematologica 2013;98:S1113). Fedratinib sensitivity in vitro is unaffected by the M929I mutation. This pre-specified interim analysis of the JAKARTA-2 study (NCT01523171) investigated the efficacy and safety of fedratinib in MF patients previously treated with RUX. Methods JAKARTA-2 is a Phase II, multicenter, open-label, single-arm study of patients who previously received RUX for MF. Patients ≥18 yrs with splenomegaly and platelet count ≥50 ×109/L received fedratinib 400 mg orally, once daily for consecutive 4-wk cycles (permitted dose adjustment to 200–600 mg daily). Eligible patients had received ≥14 d RUX treatment, and had discontinued RUX for ≥14 d prior to starting fedratinib. Although there is no consensus definition of RUX resistance/intolerance, for the purpose of this study patients were classed (investigator assessment) as resistant (lack or loss of response) or intolerant to RUX. Primary endpoint for the interim analysis: spleen response rate (RR) (≥35% reduction in spleen volume from baseline at Wk 12 [MRI/CT blinded central review]) in the per-protocol (PP) population. Secondary endpoints: symptom RR (≥50% reduction in total symptom score [TSS: modified Myelofibrosis Symptom Assessment Form] from baseline to Wk 12) and safety. Results At the cut-off date for this interim analysis, 27 patients had received fedratinib treatment (median RUX exposure 10.7 months [range 1.9–34.4]): median age 69 yrs; 56% male; 67% primary MF; 63% high-risk MF; 67% JAK2V617F positive; 41% platelet count <100 × 109/L; baseline median spleen volume 3190 mL [1072–7815]; baseline median TSS 19.6 [4.9–46.0]. Eighteen patients were considered resistant by the treating physician (8 lack of response, 3 disease progression, 7 loss of response; median RUX exposure 11.1 months [range 1.9–34.4]) and 9 intolerant (6 hematologic, 3 non-hematologic toxicity; median RUX exposure 9.2 months [2.9–33.2]) to RUX. Median fedratinib exposure to cut-off date: 4 cycles (range 1–10); 19 patients remain on treatment. Spleen RRs were 40% (8/20 PP patients) and 43% (3/7) in patients with baseline platelet count <100 ×109/L. Overall, 19% (5/26 evaluable patients) had a symptom response by Wk 12 (Table). The majority of patients had a reduction in TSS at Wk 12 (Figure). The most common non-hematologic treatment-emergent adverse events (AEs) were gastrointestinal (nausea 67%; diarrhea 56%; vomiting 48%). Grade 3/4 diarrhea occurred in 2 patients; no Grade 3/4 vomiting or nausea. Anemia was the most common hematologic AE (all grades, 93%; Grade 3, 41%; Grade 4, 0%). Thrombocytopenia (all grades) occurred in 19 (70%) patients; Grade 3 in 6 patients and Grade 4 in 2 patients. One patient had Grade 3 AST elevations and 1 patient had Grade 3 hyperbilirubinemia. Seven patients (26%) discontinued treatment due to AEs. There were 2 deaths on study, both due to disease progression. Conclusions Interim results from the JAKARTA-2 study indicate that once-daily fedratinib provides clinical benefit, through reduced splenomegaly and symptom burden, in MF patients previously treated with RUX. The safety profile was acceptable and manageable, with safety results to date consistent with those reported in previous trials of fedratinib. Sponsored by Sanofi. Disclosures: 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. Jourdan:Sanofi: Honoraria. Kiladjian:Novartis, Celgene, AOP Orphan: Research Funding; Novartis, Sanofi, AOP Orphan: Honoraria; Novartis, Sanofi, AOP Orphan: Membership on an entity’s Board of Directors or advisory committees. Cervantes:Novartis: Speakers Bureau; Novartis and Sanofi: Membership on an entity’s Board of Directors or advisory committees. Niederwieser:Novartis Pharma: Consultancy. Cortes:Incyte, Sanofi: Consultancy; Incyte, Sanofi: Research Funding. Passamonti:Novartis, Celgene, Incyte, Sanofi, Roche: Honoraria. Reiter:Sanofi: Honoraria. Heidel:Novartis Inc.: Honoraria; Novartis Inc.: Research Funding; Novartis Inc.: Membership on an entity’s Board of Directors or advisory committees. Silver:Sanofi: Consultancy; Sanofi: Research Funding; Sanofi: Honoraria. Winton:Sanofi: Research Funding. Gupta:Incyte, Novartis: Consultancy; Incyte, Novartis: Research Funding; Novartis: Honoraria. Gisslinger:AOP Orphan Pharmaceuticals, Novartis, Sanofi, Shire, Celgene, Janssen: Membership on an entity’s Board of Directors or advisory committees; AOP Orphan Pharmaceuticals, Novartis, Sanofi, Shire, Celgene, Janssen: Honoraria. Vannucchi:Novartis: Membership on an entity’s Board of Directors or advisory committees. Talpaz:Novartis, Bristol-Myers Squibb, Ariad, Deciphera: Research Funding; Novartis, Bristol-Myers Squibb, Ariad, Deciphera: Speakers Bureau. Zhang:Sanofi: Employment. Shi:Sanofi: Employment. Mesa:Incyte, Genentech, Lilly, MS Pharma, Gilead: Research Funding.

Abstract BACKGROUND. In primary myelofibrosis (PMF), survival from time of diagnosis is predicted by the international prognostic scoring system (IPSS), and from time of referral, by the dynamic IPSS (DIPSS) or DIPSS-plus. JAK2/CALR/MPL mutational status and presence and number of other prognostically-relevant mutations (ASXL1, SRSF2, EZH2, IDH1/2) provide IPSS/DIPSS-plus independent prognostic information. The objective in the current study was to revise IPSS, by including mutation-relevant prognostic information. METHODS. The study included 986 PMF patients divided into learning (n=588) and validation (n=398) cohorts. Previously published methods were used to screen for mutations involving JAK2,MPL, CALR, EZH2, ASXL1, IDH1/2 and SRSF2. The clinical variables assessed were those previously identified as being prognostically-relevant by IPSS or DIPSS-plus. The prognostic model (MIPSS) was developed through a stepwise selection process, based on a z-test of the regression coefficients, and its relative quality was measured by means of the Akaike information criterion. RESULTS. In the Italian learning cohort (n=588),median follow-up was 3.6years (95% CI, 0.03-30.8) for alive patients and 196 (33.3%) deaths and 67 leukemic transformations were documented. IPSS risk distribution was low in 26%, intermediate-1 in 30%, intermediate-2 in 24% and high in 20%. Mutational frequencies were approximately 63% for JAK2, 20% CALR, 6% MPL, 7% EZH2, 22% ASXL1, 2.5% IDH1/2 and 9% SRSF2. Constitutional symptoms were recorded in 28.6% of patients, splenomegaly 75% (18% >10cm from LCM) and grade 3 fibrosis 21%. Overall 252 patients were evaluable for karyotype and abnormalities were detected in 35%, including 9.5% unfavorable. Univariate analysis identified the following risk factors for inferior survival: age >60 years, constitutional symptoms, hemoglobin <100g/L, leukocytes >25x109/L, platelets <200x109/L, circulating blasts 1% or greater, splenomegaly >10cm, grade 3 fibrosis, unfavorable karyotype, triple-negativity for JAK2, MPL and CALR (TN), JAK2 or MPL mutation, and mutations in ASXL1, SRSF2, EZH2 or IDH1/2. In multivariable analysis, age >60 years, constitutional symptoms, hemoglobin <100g/L, platelets <200x109/L, TN, JAK2 or MPL mutation, ASXL1 and SRSF2 mutation remained significant; these variables were subsequently assigned the following HR-weighted adverse points: 1.5, 0.5, 0.5, 1.0, 1.5, 0.5, 0.5 and 0.5, respectively. Subsequently, four risk groups with no overlap in the 95% CI of their survival curves were delineated (Figure 1A): low (score 0-0.5); Intermediate-1 (score 1-1.5); Intermediate-2 (score 2-3.5); and high (score 4 or greater). The number of patients in each risk category, median survivals and HR and 95% CI values are included in figure 1A. Akaike information criterion indicated that MIPSS performed better than IPSS in predicting survival (1611.6 vs 1649.0). Leukemia-free survival was also predicted by high (p<0.01) and intermediate 1/2 (p<0.01) risk MIPSS. In the Mayo Clinic validation cohort (n=398), median age 63 years; males 64%,median follow-up for alive patients was 7.5 years and 271 (68%) deaths and 51 (13%) leukemic transformations were documented. DIPSS-plus risk distribution was low in 13%, intermediate-1 18%, intermediate-2 37% and high 32%. Mutational frequencies were approximately 51% for JAK2, 30% CALR, 7.5% MPL, 5% EZH2, 36% ASXL1, 5.6% IDH1/2 and 13% SRSF2. MIPSS performed equally well in this cohort, as illustrated in figure 1B, which includes number of patients in each risk category with their median survival and HR and 95% CI values. Leukemia-free survival in the Mayo cohort was also predicted by high (p<0.01) and intermediate-2 (p=0.04) risk MIPSS. Patients in the Mayo cohort were fully annotated for karyotype, which was MIPSS-independent in its prognostic value for both overall (p<0.01) and leukemia-free (p<0.01) survival. CONCLUSIONS. MIPSS addresses the mutation-relevant prognostic information gap in IPSS and performs equally well in the setting of patients seen at time of diagnosis or referral. Karyotype carries MIPSS-independent prognostic value that is recognized in an alternative GIPSS prognostic model (see accompanying ASH 2014 abstract), which complements MIPSS. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Abstract 1746 Diagnosis of essential thrombocythemia (ET) has been updated in the last World Health Organization (WHO) classification, that provides a guideline to distinguish ET from early/prefibrotic primary myelofibrosis. These two conditions differ in term of disease evolution and survival (Barbui et al, J. Clin. Oncol. 2011). To design a prognostic model for survival in WHO-defined ET (International Prognostic Score for Essential Thrombocythemia, IPSET), we studied 891 patients with strict WHO diagnostic criteria. Demographics have been presented elsewhere (Barbui et al, J. Clin. Oncol. 2011). We tested the prognostic impact on survival of age, prior thrombosis, leukocyte count, platelet count, hemoglobin level, JAK mutational status, splenomegaly. Harrell's C concordance statistics were used to set the best cutoff levels of continuous variables in order to predict survival. Univariate Cox proportional hazard regression showed that age over 60 years (P<.0001), leukocyte count greater than 11 x109/L (P<.0001), anemia (P=.04), platelet count greater than 1000 x109/L (P<.004) and prior history of thrombosis (P< 0001) were significant risk factors for survival. Age over 60 years (hazard ratio-HR- 6.5, 95% CI: 3.9–10.7; P<.0001), leukocyte count greater than 11 × 109/L (HR: 3.1, 95% CI: 2–4.7; P<.0001) and prior history of thrombosis (HR: 2.9, 95% CI: 1.9–4.5; P< 0001) retained statistical significance on survival by multivariable analysis and were included in the new prognostic model. We assigned each factor an integer weight close to the corresponding HR in the multivariable Cox regression: weight 2 for age over 60 years; weight 1 for leukocyte count greater than 11 x109/L and for prior thrombosis. Finally, we defined the IPSET score by allocating patients into three risk categories with significantly different survival according to the sum of weights: low risk (sum of weights=0; n= 342; median survival not reached), intermediate risk (sum=1-2; N=374; median survival 24.5 years), and high risk (sum=3-4, n=158; median survival 13.8 years). Fisher exact test did not reveal a difference in the distribution of the causes of death among IPSET categories. We validated the model in two independent cohorts: one from Germany (132 WHO-defined ET) and another from France (234 ET patients not strictly diagnosed according to WHO). Log rank test and Cox regression showed significant differences in term of survival among IPSET categories in both series. Finally, we designed an age-specific IPSET model for patients younger than 60 years (IPSET-y). Using the same methodology, we found that age over 45 years (weight 2), leukocyte count greater than 11 × 109/L (weight 1) and prior history of thrombosis (weight 1) were independent risk factors for survival. IPSET-y defined three risk categories (LR, sum=0; IR, sum=1-2; HR, sum=3–4) with a median survival not reached in LR and IR, and of 22.3 years in HR. In conclusion, IPSET, based on age over 60 years, leukocyte count greater than 11 x109/L and history of thrombosis allows prognostic assessment of WHO-defined ET. The validation process makes IPSET applicable in all patients phenotypically appearing as ET. IPSET models may be useful for treatment decision-making. Disclosures: Vannucchi: Italfarmaco: Consultancy; Novartis: Honoraria. Gisslinger:AOP Orphan Pharmaceuticals AG: Research Funding.

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.