Elala, Yoseph

Abstract Background: The World Health Organization (WHO) system lists five morphological categories of systemic mastocytosis (SM): indolent (ISM), smouldering (SSM), SM with an associated hematological neoplasm (SM-AHN), aggressive (ASM) and mast cell leukemia (MCL) (Blood. 2016;127:2391). Recent studies have highlighted the prognostic importance of mutations in SM, including ASXL1, RUNX1 and SRSF2 (AJH 2016;91:888;Leukemia 2016;30:2342). In the current study, we reviewed the cytogenetic findings in 348 cases of SM, in order to clarify incidence and prognostic impact of cytogenetic abnormalities, stratified by WHO morphologic subcategories. Methods : Study patients were selected, based on availability of cytogenetic information. Diagnoses of SM and its morphological subcategories were confirmed by both clinical and bone marrow examinations, in line with WHO criteria (Blood. 2016;127:2391). Next-generation sequencing was performed in a subset of the study population. Abnormal karyotype was further distinguished into favorable and unfavorable class based on previously published criteria for myelodysplastic syndromes (MDS) (Blood 2012;120:2454) and myeloproliferative neoplasms (MPN) (Leukemia 208;32:1189). Statistical analyses considered clinical and laboratory data collected at the time of initial diagnosis at the Mayo Clinic, which coincided with collection of bone marrow for cytogenetic studies. Conventional statistics was used for calculation of overall survival and determination of risk factors. JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 348 SM patients were included in the current study (median age 59 years; range 18-88 years; 53% males); 142 (41%) constituted ISM and 206 (59%) advanced SM; the latter included 155 (45%) SM-AHN, 49 (14%) ASM and 2 MCL cases. The SM-AHN cases included 39 (11%) SM-MPN, 36 (10%) SM-CMML, 22 (6%) SM-MDS, 22 (6%) SM-myeloid unclassified, 14 (4%) SM-MDS/MPN, 12 (3%) SM-lymphoid malignancy and 10 (3%) SM-acute leukemia. Adverse mutations, including ASXL1 (19% mutated), RUNX1 (3% mutated) and NRAS (3% mutated) were detected in 30 (23%) of 129 cases screened. After a median follow-up of 21 months, 139 (40%) deaths and 6 (5%) leukemic transformations were documented. Karyotype was abnormal in 53 (15%) cases and included unfavorable (n=29; 8%) and favorable (n=24; 7%) abnormalities. Abnormal karyotype incidences were 6% for ISM and 22% for advanced SM (p<0.001). Among advanced SM cases, abnormal karyotype incidences were 26% for SM-AHN and 8% for ASM (p<0.001); one of 2 MCL cases displayed abnormal karyotype. Among SM-AHN cases, abnormal karyotype incidences were 0% for SM-AHN-lymphoid, 28% for SM-AHN-myeloid (p<0.001); the latter included 19% for SM-CMML, 21% for SM-MDS/MPN, 23% for SM-MPN, 36% for SM-MDS and 41% of SM-myeloid-unclassified (p<0.001). Clinical correlative studies disclosed significant associations between abnormal karyotype and male sex (p=0.002), age >60 years (p=0.04), thrombocytopenia (p<0.001; 27% vs 10%) and anemia (p<0.001; 25% vs 6%), but not with the presence of adverse mutations (p=0.19). In univariate analysis, abnormal karyotype was associated with inferior survival (HR 3.0, 95% CI 2.0-4.3) and significance was sustained when analysis was adjusted for two-tiered (advanced vs indolent SM; p<0.01) or multi-tiered (ISM vs ASM vs SM-AHN; p<0.01) WHO subcategories. WHO category-specific analysis clarified prognostic relevance of abnormal karyotype in ASM (HR 4.4, 95% CI 1.0-14.4; p=0.05; figure 1a) and SM-AHN-myeloid (HR 1.9, 95% CI 1.2-2.9; p=0.005; figure 1b); however, the near-significance in ASM was fully accounted for by thrombocytopenia (p value corrected to 0.35) and for SM-AHN-myeloid by thrombocytopenia and anemia (p value corrected to 0.06); further stratification of abnormal karyotype into favorable vs unfavorable categories did not affect the results in ASM but revealed an independent prognostic effect for unfavorable karyotype in SM=AHN-myeloid (p=0.009). Conclusions: Abnormal karyotype in SM clusters with SM-AHN-myeloid. We found no correlation between abnormal karyotype and adverse mutations. Anemia and thrombocytopenia were significantly associated with abnormal karyotype and accounted for the apparent prognostic relevance of the latter in ASM. Unfavorable karyotype carries independent prognostic effect in SM-AHN-myeloid. Disclosures No relevant conflicts of interest to declare.

Abstract Background: The 2016 World Health Organization (WHO) system lists five morphological categories of systemic mastocytosis (SM): indolent (ISM), smoldering (SSM), SM with an associated hematological neoplasm (SM-AHN), aggressive (ASM) and mast cell leukemia (MCL) (Blood. 2016;127:2391). In the current study, we capitalized on the large number of accumulated cases of SM seen at the Mayo Clinic, between 1968 and 2015 (n=580), in order to devise two separate but complementary prognostic models that are based on either clinically-derived variables, or a combination of both clinical and molecular information. Methods : Study patients (n=580) were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnoses of SM and its morphological subcategories were confirmed by both clinical and bone marrow examinations, in line with the 2016 WHO criteria (Blood. 2016;127:2391). Next-generation sequencing (NGS) was performed in a subset of the study population (n=150). Statistical analyses considered clinical and laboratory data collected at the time of initial diagnosis at the Mayo Clinic. Conventional statistics was used for calculation and of overall survival and determination of inter-independent risk factors. Receiver operating characteristic (ROC) curves were used to determine the prognostically most discriminative platelet threshold. The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 580 patients with SM (median age 55 years; range 18-88 years; 52% males) were included in the current study; 291 (50%) constituted indolent and 289 (50%) advanced variants; the latter included 85 (15%) ASM, 199 (34%) SM-AHN and 5 MCL cases. At presentation, anemia defined by hemoglobin level below the lower limit of the sex-adjusted reference range, was present in 41% of the patients, hemoglobin <10 g/dl in 16%, red cell transfusion-dependency in 9%, platelet count below the ROC-determined limit of 150 x 109/l in 26%, serum albumin below the lower normal limit (LNL) of the reference range in 22%, serum alkaline phosphatase (ALP) above the upper normal limit (UNL) of the reference range in 54%, urticaria pigmentosa in 41%, mast cell mediator symptoms in 46%, palpable hepatomegaly in 21%, palpable splenomegaly in 31%, "C" findings in 23% and "B" findings in 42%. Median follow-up was 34 months with 239 (41%) deaths and 9 (1.5%) leukemic transformations documented. Cytogenetic information was available in 342 cases, including 51 (15%) with abnormal karyotype and 27 (8%) with unfavorable karyotype. NGS-derived mutation information was available in 150 cases and most frequent mutations were KIT (75%), TET2 (29%), ASXL1 (17%) and CBL (11%). Age-adjusted multivariable analysis of clinical variables, which did not include mutation or cytogenetic information, identified age >60 years (HR 2.5, 95% CI 1.8-3.4), advanced vs ISM (HR 2.3, 95% CI 1.5-3.7), thrombocytopenia <150 x 109/l (HR 2.4, 95% CI 1.8-3.4), anemia (HR 2.1, 95% CI 1.5-3.0), ALP above UNL (HR 2.1, 95% CI 1.5-3.1) and albumin below LNL (HR 1.4, 95% CI 1.0-1.9). A similar age-adjusted multivariable analysis for mutations identified ASXL1 (HR 3.3, 95% CI 1.9-5.5), RUNX1 (HR 4.1, 95% CI 1.2-10.2) and NRAS (HR 5.7, 95% CI 1.7-14.9) as independent molecular risk factors; these mutations were henceforth labelled as "adverse". The addition of "adverse" mutations (HR 2.7, 95% CI 1.6-4.7) to the list of the aforementioned clinical risk factors resulted in loss of significance for age and anemia while platelets below 150 x 109/l (HR 2.9, 95% CI 1.8-4.8), ALP above UNL (HR 3.2, 95% CI 1.8-6.1), albumin below LNL (HR 2.5, 95% CI 1.6-4.0) and advanced vs ISM (HR4.2, 95% CI 1.9-10.7) remained significant. Subsequently, based on the number of risk factors present, a "clinical" (figure 1a; n=380 informative cases) and "clinical-molecular" (figure 1b; n=129 informative cases) risk models were prepared; both risk models performed effectively for advanced and indolent SM, when analyzed separately (data not shown). Conclusions: The current study advances two separate but complimentary risk models for SM and illustrates the additional prognostic contribution of mutations and underlines the importance of thrombocytopenia and serum ALP and albumin levels in both risk models. Furthermore, we show effective application of both risk models in advanced and indolent SM. Disclosures No relevant conflicts of interest to declare.

Abstract Background : In essential thrombocythemia (ET) , ̴ 85% of patients harbor one of three "driver" mutations, with mutational frequencies of approximately 58%, 23% and 4%, for JAK2, CALR and MPL, respectively; ̴ 15% are wild type for all three mutations and are operationally referred to as "triple negative" (Blood. 2014;124:2507). In one of the original descriptions on CALR mutations, CALR -mutated patients with ET, compared to their JAK2-mutated counterparts, were reported to have better survival (NEJM. 2013;369:2379). However, this observation was not supported by subsequent studies while other reports suggested differential prognostic effect from distinct CALR variants in myelofibrosis (Blood. 2014;124:2465). In this study, we sought to clarify the impact of all three mutations, and CALR variants, on overall (OS), myelofibrosis-free (MFS) and leukemia-free (LFS) survival. Methods: Patientswere selected from our institutional database of myeloproliferative neoplasms, based on availability of mutational status inforomation. ET diagnosis was according to WHO criteria (Blood. 2009;114:937). Published methods were used for CALR, JAK2 and MPL mutation analyses and determination of CALR variants (Blood. 2014;124:2465). Kaplan-Meier survival analysis was considered from the date of diagnosis to date of death or last contact. MFS and LFS calculations considered fibrotic or leukemic transformation events as uncensored variables, respectively. Cox proportional hazard regression model was used for multivariable analysis. Results : A total of 502 patients (median age 59 year; 61% females) met study eligibility criteria. Median levels of hemoglobin, platelet count and leukocyte counts were 13.7 g/dL, 893 x 10 (9)/L and 8.8 x 10(9)/L, respectively. All patients were annotated for JAK2/CALR/MPL mutations as well as CALR variants; 324 harbored JAK2, 111 CALR and 13 MPL mutations; 54 patients were triple-negative. The 111 CALR-mutated patients included type 1 (n=55), type 2 (n=41) or other (n=15) CALR variants. At a median follow-up time of 9.9 years, 172 (34.3%) deaths, 42 (8.4%) fibrotic progressions, 15 (3%) blast transformations and 12 (2.4%) polycythemic conversions were documented. In univariate analysis, survival data appeared significantly better in "triple negative" patients (median not reached) and inferior in MPL-mutated cases (median 8.5 years) whereas median survival times were similar for JAK2 (18.5 years) and CALR (22.1 years) mutated cases (Figure 1; p=0.0006). However, the difference in survival was no longer apparent (p=0.60) during multivariable analysis that included age and sex, which are known to differentially cluster with specific driver mutations; in the current study, median age/sex distributions for "triple-negative", CALR, JAK2 and MPL mutated cases were 44 years/72% females, 48 years/46% females, 60 years/65% females, 70 years/46% females, respectively (p=<0.0001/0.0007). Of note, both age and sex were independently predictive of shortened survival. OS data remained unchanged when CALR-mutated patients were further stratified into type 1 vs type 2 vs other CALR variants, with similar survival data between the three CALR mutation groups (p=0.98). In univariate analysis, MPL-mutated patients were significantly more prone to fibrotic progression (Figure 2; p=0.0083). The prognostic relevance of MPL mutations to MFS remained significant when age and sex were included in multivariable analysis (p=0.008). In the current cohort, univariate analysis identified lower hemoglobin and lower platelet count as the only other risk factors for fibrotic progression. Multivariable analysis confirmed the independent prognostic relevance of MPL mutations (p=0.003), lower hemoglobin level (p=0.0009) and lower platelet count (p=0.0094) for MFS. There was no significant difference in LFS among the four driver mutational categories (p=0.9): 9 events in JAK2, 6 in CALR, none in triple negative and none in MPL mutated cases. Among the 6 leukemic transformations in CALR-mutated cases, three were type 1, two type 2, and one other CALR variants. Conclusions : Age- and sex-adjusted survival is similar among ET patients with JAK2 vs CALR vs MPL vs "triple-negative" mutational status. Survival is also similar between patients with distinct CALR variants. MPL -mutated patients with ET might be at a higher risk of fibrotic progression. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Pardanani: Stemline: Research Funding.

Abstract Background : Hydroxyurea has been the mainstay of cytoreductive therapy in essential thrombocythemia (ET) for over four decades. In 1988, anagrelide was first reported as an effective drug in ET (Silverstein et al. NEJM 1988;318:1292) and hundreds of patients were enrolled in clinical trials, which subsequently led to FDA approval in 1997. As a result, an increasing number of patients with ET were being treated with anagrelide until a subsequent controlled study suggested an inferior treatment outcome with anagrelide compared to hydroxyurea (Harrison et al. NEJM 2005;353:33). In the current study, we examined the impact of the corresponding practice changes on overall, myelofibrosis-free and leukemia-free survival, by comparing patients with ET diagnosed before 1988, between 1988 and 1997, and between 1998 and 2005 Methods: More than 45,000 patient charts with "thrombocytosis" were reviewed to identify those who met either PVSG (older patient cohort) or WHO criteria for diagnosis of ET. Survival was calculated from time of initial diagnosis to the time of last follow-up or death. For leukemia- or fibrosis-free survival, the time of the transformation events was considered as the uncensored variable. Conventional statistics was utilized for all analyses. Patients were divided into three groups commensurate with changes in treatment practices, corresponding to the aforementioned publications; Group 1 patients were diagnosed prior to 1988 (n =222), Group 2 1988 to 1997 (n =253), and Group 3 1998 to 2005 (n =264). Results : A total of 739 patients met the above-stipulated criteria (median age 57 years; 65% females). At a median follow-up of 12.2 years (range: 0.01-43.6 years), 368 (50%) deaths, 48 (6.5%) fibrotic transformations and 23 (3%) leukemic transformations were documented. Median overall survival (OS) was 18.6 years. On multivariable analysis, older age (P <0.001), increased leukocyte count (P <0.001), thrombosis history (P =0.04), and male sex (P<0.0001) were identified as predictors of inferior OS. Myelofibrosis-free survival (MFS) was predicted by platelet count <100 x 10(9)/L and lower hemoglobin level (multivariate P values 0.03 and <0.001, respectively). Leukemia-free survival (LFS) was predicted by increased leukocyte count, on multivariable analysis (P =0.002). Comparison of presenting features and outcome by period of diagnosis: Significant differences, in presenting features, between groups 1, 2, and 3 included age (median 55, 56, and 59 years, respectively; P =0.003), female preponderance (68, 69, and 58%, respectively; P =0.02), platelet count (1080, 995, and 890 x 10(9)/L, respectively; P <0.001), and leukocyte count (10, 9.6, and 8.4 x 10(9)/L, respectively; P <0.001). Median survival was 20.7 years, 19 years and 14.3 years, in groups 1, 2 and 3, respectively (P =0.02) (Figure 1). However, the difference in survival was no longer apparent during multivariable analysis that included age as a covariate (P=0.88). In univariate analysis, MFS was significantly shorter in group 3 patients (P=0.02; Figure 2); borderline significance was retained during multivariable analysis (p=0.13). LFS was similar among the three groups (P = 0.27). Conclusions : The results from the current retrospective study suggest increased rate of progression to myelofibrosis in ET patients diagnosed in the anagrelide era, an observation that is consistent with the results from a previous controlled study (Harrison et al. NEJM 2005;353:33). Regardless, survival in ET in the last four decades remains unchanged. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Pardanani: Stemline: Research Funding.

Abstract Background : In primary myelofibrosis (PMF), ̴ 88% of patients harbor JAK2, CALR or MPL, with respective mutational frequencies of approximately 60%, 22% and 6%; ̴ 12% are wild type for all three driver mutations and are labelled as being "triple negative" (Blood. 2014;124:2507). It is now well-established that CALR-mutated patients with PMF display significantly better survival, compared to all the other mutational categories; in addition, preliminary data have suggested inferior survival for "triple-negative" cases (Leukemia. 2014;28:1472; Blood. 2014;124:1062) and the possibility that the favorable impact of CALR mutations might be restricted to CALR type 1 or type 1-like variants (Blood. 2014;124:2465). In the current study, we sought to clarify the prognostic impact of driver mutations, and CALR variants, on overall (OS) and leukemia-free (LFS) survival, in a two-center study involving 1118 patients. Methods: A total of 1118 patients with PMF from the Mayo Clinic (n =722) and University of Florence, Italy (n =396) were included in the current study. Study patients were selected based on availability of mutation information. PMF diagnosis was according to World Health Organization criteria (Blood. 2009;114:937). Previously published methods were used for CALR, JAK2 and MPL mutation analyses and determination of CALR variants (Blood. 2014;124:2465). Kaplan-Meier survival analysis was considered from the date of first referral for the Mayo cohort and date of diagnosis for the Florence cohort. Leukemic transformation events replaced death as the uncensored variable during LFS analysis and Cox proportional hazard regression model was used for multivariable analysis. Results : Analysis was first conducted on the Mayo cohort of 722 patients (median age 64 years; 64% males). DIPSS-plus risk distributions were 14% low, 17% intermediate-1, 37% intermediate-2 and 33% high. All patients were annotated for JAK2/CALR/MPL mutations as well as CALR variants; 477 harbored JAK2, 139 CALR and 41 MPL mutations; 65 patients were triple-negative. The 139 CALR -mutated patients included type 1/type 1-like (n =115) and type 2/type 2-like (n =24). At a median follow-up time of 3.1 years, 439 (61%) deaths and 63 (8.7%) blast transformations were documented. In univariate analysis, survival in patients with CALR type 1/type 1-like mutations was significantly longer than every other mutational category: HR (95% CI) were for triple-negative 2.7 (1.8-4.0), JAK2 2.7 (2.0-3.7), CALR type 2/type 2-like 2.3 (1.3-4.2) and MPL 1.9 (1.1-3.1) (Figure 1); these differences were sustained during multivariable analysis that included ASXL1 mutations (n =480) and DIPSS-plus, and were also apparent in the Florence cohort of 396 cases that included 251 JAK2, 53 CALR type 1/type 1-like, 21 CALR type 2/type 2-like, 50 triple-negative and 21 MPL mutated cases (Figure 2). There was no difference in survival among the Mayo cohort across mutational categories not including CALR type 1/type 1-like variants (p=0.33). Because specific driver mutations in PMF differentially cluster with age and sex, multivariable analysis including these two parameters was also performed and confirmed the significant survival advantage of CALR type 1/type 1-like over triple-negative, JAK2 and CALR type 2/type 2-like mutated cases. Based on the above information, we divided driver mutational categories into "type 1/type 1-like" (median survival 10.3 years) and "all other mutational categories" (median survival 3.9 years; p<0.01). The difference in survival between these two groups remained significant (HR 2.1, 95% CI 1.5-2.9) during multivariable analysis that included both DIPSS-plus (P<0.01) and ASXL1 mutation (HR 1.8, 95% CI 1.4-2.2). LFS was similar between these two groups (p=0.4) but it was inferior in triple-negative cases compared to CALR type 1/type 1-like variants (HR 2.8, 95% CI 1.3-6.2), MPL (HR 4.6; 95% CI 1.04-20.4) and JAK2 (HR 2.5, 95% CI 1.3-4.8) but not CALR type 2/type 2-like variants (p=0.56). There was no difference in LFS among mutational categories not including triple-negative cases (p=0.33). Conclusions : In PMF, driver mutations might be classified into two prognostically distinct categories: "favorable" (type 1/type 1-like) and "unfavorable" (all other mutational categories). In addition, triple-negative cases might be at a higher risk of leukemic transformation. Disclosures Pardanani: Stemline: Research Funding. Vannucchi: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; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

Abstract Background: Peripheral blood (PB) JAK2V617F testing is ordered in routine clinical practice in several different clinical scenarios. Interpretation of the mutation level/allele burden information is however challenging given lack of a standardized assay and lack of adequate information to permit data interpretation in a non-research setting. Objectives: To describe: (i) disease distribution in unselected JAK2V617F-positive patients seen in routine clinical practice: (ii) disease-specific dispersion of JAK2V617F allele burden in these patients; and (iii) correlation of JAK2V617F allele burden with patient clinical characteristics both between and within specific diseases. Methods: The current study was approved by the Mayo Clinic institutional review board. Myeloid neoplasms were classified as per World Health Organization criteria. Clinical, laboratory and pathology results were centrally reviewed to confirm the reported diagnoses. JAK2V617F testing was done as part of routine clinical care; testing included allele burden measurement by a quantitative allele-specific PCR assay (sensitivity 0.01%) that is in clinical use at our institution (http://www.mayomedicallaboratories.com/test-catalog/Overview/31155); reporting of allele-burden data started in January 2012. The current analysis was restricted to PB samples from adult patients seen at our institution who consented to use of their medical records for research use; results of consecutive samples tested from January 2012 to April 2015 were collected. The PCR assay calibrator is a mixture of DNA from a JAK2V617F-positive cell line (HEL) and a -negative cell line (HL60). The final result is reported as % JAK2 V617F of total JAK2 (ie, [mutated/(mutated + wild-type)] x 100%). Results: We studied 349 patients (166 female; median age 65 years, range 18-92) who met eligibility criteria. The disease distribution was: polycythemia vera (PV) 146 patients (42%), primary myelofibrosis (PMF) 63 (18%), essential thrombocythemia (ET) 55 (16%) , post-PV MF 34 (10%), post-ET MF 12 (3%), myeloproliferative neoplasm-unclassified (MPN-u) 10 (3%), refractory anemia with ringed sideroblasts and thrombocytosis (RARS-T) 8 (2%), post-MPN acute myeloid leukemia (AML) 6 (2%), MPN-myelodysplastic syndrome-unclassified (MPN/MDS-u) 4 (1%), no identified hematological disease 2 (0.5%), and 'other' 9 (2.5%). The median (range) %JAK2V617F was as follows: PV 10.5% (0.5-86%), PMF 8% (0.5-88%), ET 2% (0.5-21%), post-PV MF 24% (0.8-95%), post-ET MF 14.5% (1-88%), MPN-u 4% (0.7-11%), RARS-T 2.5% (0.5-9%), post-MPN AML 31.5% (9-92%), MPN/MDS-u 14.5% (7-74%), no hematological disease 0.7% (n/a), and other 0.9% (0.5-19%) (p<0.0001). Distribution of patients in the following 7 JAK2V617Fallele burden strata: <1%, 1-2% , 3-5%, 6-10%, 11-20%, 21-50%, and 51-100% was: 42 patients (12%), 44 (13%), 61 (17%), 61 (17%), 49 (14%), 50 (15%) and 42 (12%), respectively. PV patients were identified across the entire allele burden spectrum, namely 3%, 12%, 16%, 19%, 14%, 20% and 16% in the aforementioned strata, respectively. Disease distribution in the 42 patients with <1% allele burden was: ET 14 patients, PMF 12, PV and 'other' 5 each, RARS-T and no hematological disease 2 each, and post-PV MF and MPN-u 1 each. JAK2V617F allele burden in ET (peak 21%) was significantly lower than PMF or PV (peak 86-88%) (p<0.0001). Mutation levels in post-ET (p<0.0001) and post-PV (p=0.004) MF were significantly higher than in ET and PV, respectively. Levels in post-PV/post-ET MF were also significantly higher than in PMF (p<0.0001). In contrast, JAK2V617F levels in ET and RARS-T were comparable (p=0.8). Finally, levels in post-MPN AML were significantly higher than in ET (p=0.0001) and PMF (p=0.007), marginally higher relative to PV (p=0.05), but not significantly higher relative to post-ET/post-PV MF. Conclusions: The current study provides guidance for the interpretation of peripheral blood JAK2 V617F allele burden, in routine clinical practice: i) levels below 1% are not infrequently reported, even in phenotypically classic PV, and do not imply low likelihood of a myeloid neoplasm, ii) allele burden per se is not diagnostically specific, but a threshold of greater than 20% might be used to question a diagnosis of ET or RARS-T, and iii) the highest allele burdens are seen in fibrotic and/or leukemic transformation of chronic-phase myeloproliferative neoplasm. Disclosures Pardanani: Stemline: Research Funding.

Abstract Background : Current risk stratification for thrombosis in essential thrombocythemia (ET) utilizes age >60 years, history of thrombosis, JAK2V617F mutation and cardiovascular risk factors (Barbui, Blood 2012;26:5128). Thrombosis history is also predictive of inferior overall survival (OS) in ET (Passamonti, Blood 2012;6:1197). However, whether or not the prognostic impact of thrombosis in ET is contributed by arterial versus venous thrombosis is unclear. Methods: More than 45,000 patient charts with "thrombocytosis" were reviewed to identify those who met either PVSG (older patient cohort) or WHO criteria for diagnosis of ET. Details of type of thrombotic events were obtained by careful review of the medical record. A subset of patients was molecularly annotated for the JAK2, CALR and MPL mutations. OS was calculated from time of initial diagnosis to the time of last follow-up or death. Thrombosis-free survival (TFS) was calculated from the time of diagnosis of ET to the time of development of thrombosis or last follow up or death, in patients censored for thrombosis. Conventional statistics was utilized for all analyses. Results :Patient characteristics: A total of 610 patients met the above-stipulated criteria (median age 57 years; 61% females). 76 patients (12%) had thrombosis documented either prior to or at diagnosis of which 50 patients (66%) experienced arterial events. 302 patients were screened for JAK2/CALR/MPL mutations with a frequency of 53.5%, 31%, and 3% respectively, while12.5% were "triple-negative".Impact of thrombosis history on OS: At a median follow-up of 8.9 years (range: 0-43.6 years), 185 (30%) deaths were documented. Themedian OS for the entire cohort was 20 years. On univariate survival analysis, the predictors of inferior OS included: age ≥60 years (p<0.001), leukocyte count ≥11 x 10(9) (p<0.001), male sex (p=0.0002), thrombosis before or at diagnosis (p=0.01), and presence of the JAK2V617F mutation (p=0.03). All but JAK2 V617F (p=0.64) remained significant on multivariable analysis. When arterial and venous events were considered separately, in univariate analysis, only arterial (p<0.001) but not venous (p=0.387) thrombotic events retained significance. The significant prognostic contribution, to survival, of arterial thrombosis history was sustained (p=0.02) during multivariable analysis, that included age ≥ 60 years (p=<0.001), leukocyte count ≥11 x 10(9) (p=0.001), and male sex (p=0.001) on OS.Impact of thrombosis history on TFS: A total of 84 (14%) patients experienced thrombotic events during follow-up amongst which 60 (71%) experienced arterial thrombosis. On univariate analysis the predictors of inferior TFS included: age ≥ 60 years (p=0.016), leukocyte count ≥11 x 10(9) (p=0.001), thrombosis before or at diagnosis (p<0.001), and presence of the JAK2V617F mutation (p=0.002). On multivariable analysis, thrombosis before or at diagnosis (p<0.001), along with leukocyte count ≥11 x 10(9) (p=0.03), and presence of the JAK2V617F mutation (p=0.01) remained significant; the significance of age ≥60 years became borderline (p=0.07). When arterial and venous thrombosis were analyzed separately, only arterial (p<0.001), but not venous (p=0.48), thrombosis history was significantly associated with inferior TFS. The factors that predicted worse outcome with TFS included arterial thrombosis at or before diagnosis (p<0.001), leukocyte count ≥11 x 10(9) (p=0.03) and presence of the JAK2V617F mutation (p=0.01); the significance of age ≥60 years became borderline (p=0.13). Conclusions : The prognostic impact of thrombosis in ET, in terms of both overall and thrombosis-free survival, might be attributed to only arterial but not venous thrombotic events. The current study also confirms the independent prothrombotic role of JAK2V617F mutation in ET and suggests an additional role for leukocytosis. Disclosures Barbui: Novartis: Speakers Bureau.

Abstract Background : Polycythemia Vera (PV) is associated with JAK2 mutations. In essential thrombocythemia (ET), ̴ 85% of patients harbor one of 3 "driver" mutations, with frequencies of ̴ 58%, 23% and 4%, for JAK2, CALR and MPL, respectively; ̴ 15% are wild type for all three mutations and are referred to as "triple negative". We applied next-generation sequencing (NGS) with a 27-gene panel of myeloid malignancy-relevant genes, in order to describe the prevalence of "non-driver" mutations and their prognostic relevance in PV and ET. Methods: Targeted capture assays were carried out on bone marrow or whole blood DNA for the following genes: TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, Tp53, SH2B3, RUNX1, CBL, NRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF, and SETBP1.Paired-end indexed libraries were prepared using the NEBNext Ultra Library prep protocol (NEB, Ipswich, MA /Agilent Technologies Inc, Santa Clara, CA). Capture libraries were assembled according to Nimblegen standard library protocol (Roche Nimblegen, Inc, Basel, Switzerland). Base-calling was performed using Illumina's RTA version 1.17.21.3. Genesifter® software (PerkinElmer, Danvers, Massachusetts) was utilized to analyze targeted sequence data. Nucleotide variants were called using the Genome Analysis Toolkit (GATK -Broad Institute, Cambridge, MA). Specific variants were deemed as mutations if they are associated with a hematologic malignancy (COSMIC database), or if they have not been associated with a dbSNP. Results: 314 patients with PV (n =133; median age 64 years, 53% females) or ET (n =181; median age 58 years, 59% females) were evaluated. Median follow-up was 9.8 years for PV and 9.2 years for ET. During this time 59 (44%) deaths, 15 (11%) fibrotic and 5 (4%) leukemic transformations were documented for PV and the corresponding percentages for ET were approximately 33%, 8% and 2%. Driver mutation distribution was 98% JAK2 for PV and 52% JAK2, 24% CALR, 20% triple-negative and 4% MPL for ET. Polycythemia Vera Mutations other than JAK2, CALR or MPL were seen in 58 (44%) patients; 29% harbored one, 14% two and one 3 mutations. None of 3 JAK2 -unmutated cases expressed non-driver mutations. Mutational frequencies were 18% TET2, 11% ASXL1, 5% SH2B3, 3% SF3B1 and ≤2% SETBP1, IDH2, DNMT3A, CEBPA, CSF3R and SUZ12, SRSF2, ZRSR2, TP53, CBL, NRAS, RUNX1, KIT, PTPN11 and FLT3. "Number of mutations" significantly affected overall (OS; Figure 1) and myelofibrosis-free (MFS) survival; respective HR (95% CI) were 2.6 (1.3-5.2) and 1.7 (0.97-3.1) and 13.7 (2.9-63.4) and 5.1 (1.5-17.6) for ≥2 mutations and one mutation, respectively. OS was also adversely affected by SRSF2 (p=0.006) and RUNX1 (p=0.04) and borderline affected by TET2 (p=0.06), IDH2 (p=0.08), ASXL1 (p=0.19) and SF3B1 (p=0.19) mutations. In multivariable analysis, SRSF2 and RUNX1 retained significance whereas the others remained borderline significant. In both univariate and multivariable analyses, leukemia-free survival (LFS) was adversely affected by IDH2 and RUNX1 mutations. In univariate analysis, ASXL1, IDH2, RUNX1 and KIT mutations predicted fibrotic progression, whereas SETBP1 was of borderline significance (p=0.07); all, including SETBP1, were significant during multivariable analysis. Essential thrombocythemia Mutations other than JAK2, CALR or MPL were seen in 83 (46%) patients; 35% harbored one, 7% two and 4% three mutations; prevalence in JAK2, CALR, MPL mutated and triple-negative cases was 52%, 43%, 43% and 35%, respectively (p=0.52). Mutational frequencies were: 13% TET2, 11% ASXL1, 6% DNMT3A, 5% SF3B1, 4% CEBPA, 2% TP53, SH2B3, EZH2 and CSF3R and <2% for SETBP1, IDH2, SRSF2, ZRSR2, CBL, NRAS, RUNX1, U2AF1, KIT, PTPN11 and FLT3. "Number of mutations" significantly affected OS (Figure 2) but not MFS or LFS; HR (95% CI) for OS were 6.6 (2.5-17.8) for 3 mutations and 2.2 (1.3-3.9) for one or two mutations. In univariate analysis, survival was adversely affected by CBL, EZH2, SF3B1, SRSF2 and IDH2 mutations. In multivariable analysis, EZH2 and SF3B1 remained significant. Univariate analysis identified SETBP1 and SF3B1 mutations as risk factors for fibrotic progression and EZH2, TP53 and CSF3R mutations for leukemic transformation. Conclusions: "Non-driver" mutations occur in more than 40% of patients with PV or ET; the number of such mutations and presence of certain specific ones likely predict OS, MFS or LFS. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Pardanani: Stemline: Research Funding.

Abstract Background : In primary myelofibrosis (PMF), ̴ 88% of patients harbor one of three "driver" mutations, with mutational frequencies of approximately 60%, 22% and 6% for JAK2, CALR and MPL, respectively. Other "non-driver" mutations have also been described in PMF and some of them and their number have been associated with inferior survival (Leukemia. 2014;28:1804). We applied next generation sequencing (NGS) with a broader panel of MPN-relevant genes, in order to identify additional mutations of prognostic relevance as well as obtain additional information regarding the prognostic value of 'number of mutations'. Methods: Targeted capture assays were carried out on bone marrow or whole blood DNA specimens obtained at time of referral for the following genes: TET2, DNMT3A, IDH1, IDH2, ASXL1, EZH2, SUZ12, SRSF2, SF3B1, ZRSR2, U2AF1, PTPN11, Tp53, SH2B3, RUNX1, CBL, NRAS, JAK2, CSF3R, FLT3, KIT, CALR, MPL, NPM1, CEBPA, IKZF, and SETBP1. Paired-end indexed libraries were prepared from individual patient DNA using the NEB Next Ultra Library prep protocol on the Agilent Bravo liquid handler (NEB, Ipswich, MA/Agilent Technologies Inc, Santa Clara, CA). Capture libraries were assembled according to Nimblegen standard library protocol (Roche Nimblegen, Inc, Basel, Switzerland). Base-calling was performed using Illumina's RTA version 1.17.21.3. Genesifter® software was utilized (PerkinElmer, Danvers, Massachusetts) to analyze targeted sequence data. Nucleotide variants were called using the Genome Analysis Toolkit (GATK-Broad Institute, Cambridge, MA). Specific variants were deemed as mutations if they are associated with a hematologic malignancy (as identified by COSMIC database), or if they have not been associated with a dbSNP. Results: 180 PMF patients were evaluated (median age 63 years; 65% males). DIPSS-plus risk distribution was 32% high, 38% intermediate-2, 17% intermediate-1 and 13% low. Driver mutation distribution was 62% JAK2, 22% CALR, 9% triple-negative and 7% MPL. Karyotype was abnormal in 41% of patients and unfavorable in 12%. Mutations other than JAK2, CALR or MPL (i.e. "non-driver" mutations) were seen in 150 (83%) patients including 88% of "triple-negative" cases. 62 (34%) patients harbored one, 55 (31%) two, 16 (9%) three and 17 (10%) four or more. Mutational frequencies were: ASXL1 36%, TET2 18%, SRSF2 17%, U2AF1 17%, ZRSR2 11%, SF3B1 10%, DNMT3A 9%, CEBPA (9%), Tp53 7%, SETBP1 6%, CBL 5%, IDH1/2 5%, SH2B3 4%, CSF3R 4%, NRAS 4%, RUNX1 3% and ≤2% for SUZ12, KIT, PTPN11, NPM1 and EZH2. DIPSS-plus high/intermediate-2 risk patients displayed higher number of mutations (p=0.0004) and higher mutational frequencies for ASXL1 (p=0.02), SRSF2 (p=0.004) and CBL (p=0.02). Associations noted included JAK2 with U2AF1 (p=0.03), unfavorable karyotype with CBL (p=0.01) and normal karyotype with ZRSR2 mutations (p=0.04). At a median follow-up of 4 years, 111 (62%) deaths were documented. For examination of impact on survival, we considered 'number of mutations' and specific mutations with >2% frequency. Accordingly, in univariate analysis, survival was adversely affected by 'number of mutations' (Figure 1) and presence of ASXL1, SRSF2, IDH1/2, U2AF1, RUNX1 and CBL mutations. For multivariable analysis, we considered three categories (zero, 1-3 and ≥4) for number of mutations based on the results from univariate analysis (Figure 1); the results showed ≥4 mutations, 1-3 mutations, RUNX1, CBL, ASXL1 and SRSF2 mutations were independently associated with shortened survival; the respective HR (95% CI) were 4 (1.4-11.1), 3 (1.3-6.8), 2.9 (1.1-8.1), 2.8 (1.3-6.3), 1.8 (1.2-2.7) AND 1.7 (1.03-2.7). When the multivariable analysis was repeated including only the 150 patients with at least one non-driver mutation, the 'number of mutations' was no longer significant (p=0.35) but ASXL1, CBL, RUNX1 and SRSF2 mutations retained their significance. The prognostic relevance of ASXL1 and CBL continued to be apparent even after the addition of DIPSS-plus and driver mutation profile to the multivariable model. Conclusions: Mutations other than JAK2, CALR or MPL occur in more than 80% of patients with PMF, including those with "triple-negative" driver mutational status. The absence of such mutations is independently favorable for survival while the prognostic effect of their presence is influenced by ASXL1, CBL, RUNX1 and SRSF2 mutations. Figure 1. Figure 1. Disclosures Pardanani: Stemline: Research Funding.

Abstract Systemic mastocytosis (SM) is a clinically heterogeneous disease with prognosis chiefly assigned based on World Health Organization (WHO) morphologic subclassification. We assessed the feasibility of developing contemporary risk models for SM based on clinical and integrated clinical-genetics information. Diagnosis of SM was per WHO criteria, and karyotype and next-generation sequencing data were available in a subset of the total 580 patients (median age, 55 years; range, 18-88 years) seen at the Mayo Clinic between 1968 and 2015. Morphologic subcategories were indolent/smoldering in 291 (50%) and “advanced” in 289 (50%): SM with an associated hematological neoplasm in 199, aggressive SM in 85, and mast cell leukemia in 5. Multivariable analysis of clinical variables identified age &gt;60 years, advanced SM, thrombocytopenia &lt;150 × 109/L, anemia below sex-adjusted normal, and increased alkaline phosphatase (ALP) as independent risk factors for survival; respective hazard ratios (HRs) 95% confidence intervals (95% CIs) were 2.5 (1.9-3.4), 2.7 (1.8-4.0), 2.5 (1.9-3.4), 2.2 (1.6-3.1), and 2.1 (1.5-3.0). In addition, ASXL1 (HR, 4.5; 95% CI, 2.6-7.6), RUNX1 (HR, 4.3; 95% CI, 1.3-10.8), and NRAS (HR, 5.0, 95% CI, 1.5-13.2) mutations were independently associated with inferior survival. Combined clinical, cytogenetic, and molecular risk factor analysis confirmed the independent prognostic contribution of adverse mutations (2.6, 1.6-4.4), advanced SM (4.0, 1.8-10.0), thrombocytopenia (2.8, 1.7-4.5), increased ALP (2.1, 1.2-4.0), and age &gt;60 years (2.2, 1.3-3.6). These data were subsequently used to develop clinical and hybrid clinical-molecular risk models. The current study advances 2 complementary risk models for SM and highlights the independent prognostic contribution of mutations.