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Abstract Background: Vitamin B1 (Thiamine) deficiency might result in Wernicke's encephalopathy (WE); the latter was reported in clinical studies with the JAK2 inhibitor fedratinib resulting in disruption of clinical development, despite efficacy in patients with myelofibrosis (MF) (JAMA Oncol, 2015, 5). Our objectives were i) to determine the incidence of thiamine deficiency in patients with myeloproliferative neoplasms (MPN), ii) assess clinical correlations of thiamine level and iii) determine the impact of JAK2 inhibitor therapy on thiamine level in MPN. Methods: After Institutional review board approval, patients referred with a suspected diagnosis of MPN were enrolled. All clinical and laboratory variables including treatment details were collected at the time of referral. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of thiamine diphosphate in whole blood was performed at the time of referral. Reference range for thiamine level in whole blood was 70-180 nmol/L. The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all statistical analysis. Results: A total of 115 patients were prospectively enrolled and included 28 patients without MPN and 87 with MPN. 87 MPN patients (median age, 65 years, 52% males) included 32 with primary myelofibrosis (PMF), 17 with polycythemia vera (PV), 17 with essential thrombocythemia (ET), 11 with post PV MF, 8 with post ET MF, and 2 with MPN-U. The MPN and non-MPN patients were similar in their gender distribution, pattern of alcohol use, malnutrition and multivitamin use (p=0.24, 0.12, 0.54 and 0.78 respectively), although the former were older (p=0.09). Median thiamine level of the study patients was 167 nmol/L (range; 60-442 nmol/L) with only two (1.7%) female patients displaying level below the normal reference range. One belonged to the non-MPN group (thiamine level 68 nmol/l); a 26 year old female with erythroid leukemia in the absence of alcohol use or malnutrition; the second patient (thiamine level 60 nmol/l) was a 38 year old female with ET, CALR type 2 mutated on hydroxyurea, without a history of alcohol use or malnutrition. Overall, both MPN and non-MPN patients displayed similar thiamine level (p=0.89). Clinical correlations of thiamine level in MPN Median thiamine level was similar amongst post ET MF, ET, PMF, PV, and post PV PMF patients (127, 162, 166, 190 and 209 nmol/L respectively, p=0.13). No significant effect on thiamine level was apparent for age, gender, hemoglobin, platelet count, dynamic international prognostic scoring system (DIPSS) score, unfavorable cytogenetics, palpable splenomegaly, or constitutional symptoms. Interestingly, thiamine level was significantly higher in JAK2 mutated cases (median 177 nmol/L vs 145 nmol/L in unmutated cases, p=0.03). Furthermore, when analysis was restricted to PMF patients, thiamine level positively correlated with JAK2V617F mutant allele burden (p=0.01) and leukocyte count > 10 x 109/L (p=0.03). JAK2 mutated PMF patients with leukocyte count > 10 x 109/L depicted significantly higher thiamine levels (median 313 nmol/L) compared to JAK2 mutated patients without leukocytosis (median 164 nmol/L) and JAK2 unmutated patients with or without leukocytosis (median 192 nmol/L and 143 nmol/L respectively)(p=0.004, Figure 1a). Impact of treatment on thiamine level Treatment with hydroxyurea was documented in 35 patients with no significant impact on thiamine level (p=0.28). 27 patients were on JAK inhibitors (median duration at referral; 41 months); 12 patients on ruxolitinib and 15 MF patients on momelotinib as part of a clinical trial. Thiamine level was similar amongst JAK inhibitor treated vs untreated patients (median 166 vs 169.5 nmol/L respectively, p=0.72). Annual thiamine measurements were performed on 15 patients treated with momelotinib (median duration 52 months, range 18-60 months). Despite fluctuations in thiamine levels, only two patients were noted to have thiamine level below normal (65 and 69 nmol/L at year 3), which subsequently improved to 101 and 121 nmol/L by year 4, while still on treatment (Figure 1b). Conclusions: The current study confirms the rarity of subnormal thiamine levels in MPN and the limited impact of treatment on thiamine levels, including with JAK2 inhibitors. Our novel observation regarding the correlation of thiamine level with JAK2V617F mutant allele burden and leukocyte count requires further exploration. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Young patients with myeloproliferative neoplasms (MPN), including essential thrombocythemia (ET), polycythemia vera (PV) and primary myelofibrosis (PMF), constitute a distinct, steadily growing subpopulation (Eur J Haematol. 2017;98:85). Most available data, including current prognostic models, are excerpted from older populations and may not accurately mirror the unique phenotypic and prognostic patterns seen in younger patients. The objective of the current study was to comprehensively assess the phenotypic features and long-term outcomes in MPN patients age ≤ 40 years. Methods: The study population was recruited from a master database of MPN patients seen at our institution between 1967 and 2017. Diagnoses were in accordance with 2016 World Health Organization criteria (Blood. 2016;127:2391). Data was abstracted from the time of referral, which coincided in the majority with the time/within one year of diagnosis. Additional molecular data was obtained based on availability of next-generation sequencing (NGS) information. Conventional statistics was utilized for group comparisons and calculation of survival data. Results: The study population was recruited from a total of 3,023 MPN patients: 665 PV, 1076 ET, and 1282 PMF. Of these, 361 (12%) were ≤ 40 years of age at the time of initial diagnosis; the corresponding incidences were 12% in PV (n=79), 20% in ET (n=219) and 5% in PMF (n= 63). Young PV patients (n=79): Median age (range) was 32 years (18-40) and males constituted 54% (Table 1). Over a median follow-up of 11.3 years, fibrotic transformation rates were 22% vs 25% and 10% in those 41-60 and >60 years of age, respectively (P<0.001). Leukemic conversion rates were balanced across age categories (4% vs 5% vs 3% for successively older cohorts) (P=0.4). Interestingly, young patients had lower rates of arterial (P<0.001) and higher of venous thrombosis (P=0.01) prior to/at diagnosis vs older cohorts while events post-diagnosis were comparable across age groups (P=0.6). Young ET patients (n=219): Median age (range) was 32 years (18-40) with a minority (31%) constituted of males. During a median follow-up of 13 years, fibrotic progressions rates were 16% vs 16% and 9% in those aged 41-60 and >60 years, respectively (P<0.001). The leukemic conversion rate (2%) was analogous to that of older cohorts (5% and 3%, respectively) (P=0.1). Young patients also experienced significantly fewer arterial thrombotic events prior to/at diagnosis (6% vs 14% and 18%) and after diagnosis (8% vs 16% and 22%) compared to older cohorts (P<0.0001). Young PMF patients (n=63): Median age (range) was 37 years (19-40) with a preponderance of males (59%). High risk karyotype was not seen in young patients vs in 5% and 8% of those 41-60 and > 60 years of age, respectively (P=0.004). During median follow-up of 7.1 years, leukemic conversions were recorded in 10% of young patients vs 10% and 9% of respectively older cohorts (P=0.9). Young subjects also experienced fewer arterial thrombotic events prior to/at diagnosis (2% vs 6% and 13%) and lower rates of venous thrombosis after diagnosis (2% vs 10% and 4%) compared to cohorts 41-60 and > 60 years of age, respectively (P<0.0001). NGS data disclosed significant clustering of high risk molecular mutations with successively older subgroups (≤ 40 vs 41-60 vs > 60 years); ASXL1: 19 vs 40 vs 45% (P=0.005), SRSF2: 6 vs 8 vs 18% (P=0.0004), and U2AF1: 3 vs 11 vs 19% (P=0.004) (Table 1). Survival data Kaplan-Meier survival curves stratified by age bracket (≤ 40 vs 41-60 vs > 60 years) disclosed median OS in successively older age groups to be 37, 22, and 10 years for PV (Figure 1A), 35, 22, and 11 years for ET (1B), and 20, 8, and 3 years for PMF (1C); exposing significantly longer median survival estimates in younger patients, systematically across all disease subtypes (P<0.001). When appraised as a function of MPN subtype, survival data confirmed the significantly reduced OS in PMF relative to PV and ET (P<0.001), though PMF patients aged ≤ 40 years were still projected to have a reasonably favorable median life expectancy of 20 years (Figure 2). Conclusions: Young MPN patients comprise a unique disease subset defined by an attenuated-risk cytogenetic and mutational backdrop compared to their older counterparts. Caution must be exercised in counseling and managing this population as historical 'one-size-fits all' data fails to reflect the true natural history and disease biology in the young. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Subnormal serum erythropoietin (EPO) level is widely accepted as a minor diagnostic criterion for polycythemia vera (PV) and has retained its value in the revised 2016 World Health Organization (WHO) classification scheme of myeloid neoplasms (Blood. 2016;127:2391). While over 80% of PV patients exhibit subnormal EPO values (Haematologica. 2004;89:1194), very little is known about the incidence, phenotypic connotation, or prognostic significance of serum EPO levels in essential thrombocythemia (ET). Methods: Study patients were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnosis of ET was in strict accordance with the 2016 WHO criteria (Blood. 2016;127:2391) and only patients with EPO measurements at diagnosis or during their chronic phase were considered under the following provisions: i) no evidence of myelofibrotic or leukemic transformation; ii) no treatment with cytoreductive agents at the time of sample collection (and for those with EPO sampling at diagnosis, no prior exposure to cytoreductive therapy); iii) no hemoglobin levels below sex-adjusted values for anemia; and iv) systematic exclusion of all cases of masked PV. Serum erythropoietin levels were measured using Mayo-verified standard immune-enzymatic assay consistent with CLIA requirements with reference range between 4-21 mIU/mL. Standard statistical methods and time-to-event curves prepared using the Kaplan-Meier method were used to compare EPO-stratified groups. The JMP® Pro 13.0.0 software package was used for all analyses (SAS Institute, Cary, NC, USA). Results: Among 177 informative ET patients (median age 51 years, range 18-88; 71% females), median serum EPO concentrations were 5.2 mIU/mL (range <1-25) overall and 2.6 mIU/mL (range <1-3.9) and 7.2 mIU/mL (range 4-25) in those with subnormal versus normal/above normal EPO levels, respectively (p<0.0001). The majority of EPO measurements were at the time or within one year of diagnosis (67%), with the remainder obtained at referral or during the chronic clinical course. Risk stratification disclosed low, intermediate, and high risk status in 45%, 33% and 23% of patients, respectively, with no appreciable differences between EPO-stratified subsets. Subnormal serum EPO levels clustered clinically with JAK2 mutations (95% vs 60%; p<0.0001), higher hemoglobin (median 14.7 vs 13.8 g/dl, range: 12.1-17.8 vs 12-17.1; p<0.0001) and leukocyte counts (median 9.7 vs 8.2 x 109/l, range: 4-28.1 vs 3.9-22; p=0.0001), and arterial thrombosis after diagnosis (13% vs 5%; p=0.04). In addition, all three documented conversions to PV (p=0.01) and none of the six fibrotic progressions (p=0.02) occurred in patients with subnormal serum EPO levels (Table 1). While serum EPO level had no bearing on overall survival data (p=0.41) (Figure 1A), subnormal circulating EPO concentrations were significantly associated with superior myelofibrosis-free survival (p=0.02) (Figure 1B) but conversely, inferior polycythemia-free survival (p=0.03) (Figure 1C). Conclusions: We conclude that subnormal serum EPO levels are relatively frequent in ET, cluster with disease features that are reminiscent of polycythemia vera, and might be associated with a lower risk of fibrotic progression. Disclosures No relevant conflicts of interest to declare.

Abstract Background: We have long introduced the concept of host genetic variations in the phenotypic diversity of myeloproliferative neoplasms (MPN) (Blood 2008;111:2785). Previous studies have established an association between JAK2 mutations in myeloproliferative neoplasms (MPN) and the germline GGCC (46/1) haplotype, which constitutes a string of single nucleotide polymorphisms (SNPs) near the JAK2 gene that are inherited together on chromosome 9p (reviewed recently;Int J Mol Sci. 2018; 19: 1152). In 2010, we reported an association between shortened survival in primary myelofibrosis (PMF) and nullizygosity for the JAK2 46/1 haplotype (Leukemia 2010; 24:105), although our findings were not confirmed in another study (Leukemia 2010; 24:1533). Others have reported an association with splanchnic vein thrombosis, that was not accounted for by JAK2 mutations (Ann Hematol 2014;93:1845). In the current study, we have increased the number of informative cases to 414 (from 130 reported in 2010), in order to revisit with the phenotypic and prognostic relevance of the JAK2 46/1 haplotype in PMF. Methods : Study patients were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnoses PMF and its leukemic transformation were confirmed by both clinical and bone marrow examinations, in line with the 2016 World Health Organization criteria (Blood. 2016;127:2391). Screening for the JAK2 46/1 haplotype included rs12343867 SNP genotyping, as previously detailed (Leukemia 2010; 24:105), and using a commercially available TaqMan SNP genotyping assay (Applied Biosystems Inc., Foster City, CA, USA). Statistical analyses considered clinical and laboratory data collected at the time of initial PMF diagnosis or Mayo Clinic referral point. Conventional statistics was used for confirming phenotypic associations and calculation of overall (OS) and leukemia-free (LFS) survival. The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 414 patients with PMF (median age 63 years; 63% males) were included in the current study; among 324 evaluable cases, MIPSS70+ version 2.0 risk distribution was 18% very high risk, 41% high risk, 19% intermediate risk, 18% low risk and 4% very low risk. Driver mutation distribution was 63% JAK2, 17% type 1-like CALR, 3% type 2-like CALR, 7% MPL and 10% triple-negative. JAK2 46/1 haplotype was documented in 69% of the study patients, including 25% in homozygous and 44% in heterozygous state. Driver mutation frequency in patients homozygous/heterozygous/nullizygous for the 46/1 haplotype was 78%/60%/56% JAK2, 10%/20%/18% type 1-like CALR, 3%/2%/5% type 2-like CALR, 4%/8%/7% MPL and 6%/10%/14% triple-negative (p=0.02). The three 46/1 haplotype groups were phenotypically mostly similar, with the exception of platelet count (p=0.02) and leukocyte count (p=0.003), which were both higher with homozygous 46/1 haplotype. In univariate analysis, nullizygosity for the JAK2 46/1 haplotype was associated with inferior overall survival (HR 1.5, 95% CI 1.1-1.9; figure 1a); this survival effect was most pronounced in JAK2 mutated cases (figure 1b; p<0.001), as opposed to CALR/MPL mutated cases (figure 1c; p=0.48) or triple-negative cases (figure 1d; p=0.27). Multivariable analysis that included age and other genetic risk factors, including karyotype, driver mutational status and presence of high molecular risk mutations, such as ASXL1 and SRSF2, confirmed the independent prognostic contribution of nullizygosity for the 46/1 haplotype (p=0.02; HR 1.4, 95% CI 1.1-1.8). Nullizygosity for 46/1 also remained significant in the context of the recently unveiled genetics-based prognostic model, GIPSS (genetically-inspired prognostic scoring system) (p=0.04) (Leukemia.2018 doi: 10.1038/s41375-018-0107-z), but not in the context of MIPSS70+ version 2.0 (karyotype and mutation-enhanced international prognostic scoring system for transplant-age patients) (p=0.4). (JClinOncol.2018 doi: 10.1200/JCO.2018.78.9867). Leukemia-free survival was not affected by the 46/1 haplotype (p=0.6). Conclusions: The current study confirms the association of nullizygosity for the JAK2 GGCC (46/1) haplotype with inferior survival in PMF, primarily in JAK2-mutated cases; the observed survival effect was independent of currently acknowledged genetic risk factors, including karyotype and high molecular risk mutations. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Current drug therapy in primary myelofibrosis (PMF) offers palliative value only, including alleviation of splenomegaly, constitutional symptoms and anemia; hydroxyurea (HU), JAK2 inhibitors and interferon (IFN)-α are used for splenomegaly; JAK2 inhibitors for constitutional symptoms; and immunomodulatory drugs (IMiDs), erythropoiesis-stimulating agents (ESAs) and androgens for anemia. The current study constitutes a retrospective evaluation of specific drug response in anemia or splenomegaly in PMF. Methods : Study patients were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnoses were according to the 2016 World Health Organization criteria (Blood. 2016;127:2391). For the purposes of the current study, conventional response criteria were modified to reflect clinical benefit assessment without strict adherence to criteria designed for clinical trials; accordingly, spleen response was evaluated only in patients with palpable splenomegaly and was defined as a minimum 50% reduction in palpable spleen size, regardless of response duration; anemia response was evaluated only in patients with hemoglobin level <10 g/dl and was defined as achieving transfusion-indpendence lasting for at least one month or an increase in hemoglobin of 2 g/dl, regardless of response duration. The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all statistical calculations. Results: 432 cytogenetically- and molecularly-annotated patients with PMF were accessed in order to identify 333 patients who received first-line treatment with HU (n=97), JAK2 inhibitors (n=41), IFN-α (n=22), IMiDs (n=58), androgens (n=19), ESAs (n=54) and various other drugs (n=42), and were evaluable for response; driver mutational status was JAK2 59%, CALR type 1/like 20%, CALR type 2/like 4%, MPL 7% and triple-negative 10%; karyotype included very high risk (VHR) 6%, unfavorable 18% and favorable 76%; 60% of the patients harbored high molecular risk (HMR) mutations including ASXL1 (45%), SRSF2 (18%), U2AF1Q157 (10%), EZH2 (4%), IDH2 (4%) and IDH1 (2%). MIPSS70+ version 2.0 risk distribution was very high 17%, high 46%, intermediate 21%, low 14% and very low 2%. Overall, 249 patients were evaluable for spleen response, including 218 that were treated with the specific drugs analyzed in the current study. Anemia response was evaluated in 222 patients, including 194 (105 transfusion-dependent) that were treated with the specific drugs analyzed in the current study. Predictors of response to HU: Spleen response to HU was more likely in the presence of HMR mutations (37% vs 11%; p=0.02); however, responses were mixed and limited to presence of ASXL1 (40% vs 17%; p=0.06) or SRSF2 (47% vs 22%; p=0.1) mutations while none of 8 patients with either U2AF1Q157 or IDH2 mutations responded. None of 5 patients with VHR karyotype and only 1 (9%) of 11 patients with platelet count <100 x 109/l responded. Anemia responses to HU were infrequent. Overall response rate to HU was predicted by the absence of U2AF1Q157 mutations (64% vs 0%; p=0.007). Predictors of response to JAK2 inhibitors: Spleen response to JAK2 inhibitors was more likely in female patients (87% vs 50%; p=0.01) and in the presence of CALR type 1/like mutations (90% vs 57%; p=0.06). Anemia responses to JAK2 inhibitors were largely unpredictable. In order to further verify the aforementioned observed associations, we accessed data from a previous formal clinical trial of momelotinib (JAK2 inhibitor); among 91 evaluable patients, spleen response was higher in the presence of CALR mutations (73% vs 37%; p=0.009) and female sex (49% vs 39%, p=NS). Predictors of response to other agents: Spleen response to IFN-α was unlikely in the presence of ≥2% circulating blasts (0/6 responded) or presence of ASXL1 mutations (0/7 responded). IFN-α was ineffective for the treatment of anemia. Spleen responses to treatment with IMiDs, androgens or ESAs were unusual while anemia response to all three agents was not predicted by either genetic or clinical markers. Conclusions: Our observations, which require additional examination in a prospective setting, suggest limited value of genetic and clinical markers in predicting response to currently available drugs for PMF; this is consistent with the non-specific mechanism of action for these drugs. CALR (JAK inhibitors) and U2AF1Q157 (HU) mutations respectively predict favorable or unfavorable spleen response. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Type 1 calreticulin (CALR) variants comprise ~70% of all CALR mutations in primary myelofibrosis (PMF) and form a distinct phenotypic and prognostic disease subset (Leukemia. 2014;28:1568). Determinants of long-term outcome have not, however, been systematically appraised in this population. The current study documents the natural history, molecular correlates, and independent predictors of overall (OS), leukemia-free (LFS), and thrombosis-free (TFS) survival in CALR type 1/like-mutated myelofibrosis. Methods: Patients were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnoses were consistent with World Health Organization (PMF, fibrotic/leukemic transformations) (Blood. 2016;127:2391) and International Working Group for Myeloproliferative Neoplasms Research and Treatment criteria (post-essential thrombocythemia (ET) MF) (Leukemia. 2008;22:437). Laboratory and clinical data were retrospectively abstracted corresponding to time of referral (PMF) or myelofibrotic transformation (post-ET MF). Conventional prognostic scoring was as previously outlined (Blood. 2010;115:1703; J Clin Oncol. 2018;36:1769). Recipients of allogeneic stem cell transplant were censored at the time of transplant. Standard statistical methods were used for all analyses using the JMP® Pro 13.0.0 software package (SAS Institute, Cary, NC, USA). Results: A total of 162 consecutive patients with CALR type 1/like-mutated myelofibrosis were identified: 139 (86%) with PMF and 23 (14%) with post-ET MF with median age 55 years (range 23-85), 62% male. The PMF and post-ET MF cohorts displayed similar phenotypic features with the exception of higher platelet counts (median 443 vs 340 x 109/l; P=0.02) in post-ET MF (Table 1). The most frequent co-existing mutations were ASXL1 (n=47; 37%) and SRSF2 (n=4; 3%), with ASXL1 seen more frequently in PMF (39% vs 11% post-ET MF; P=0.07). Over a median follow-up of 6 years (range 0-25 years), a total of 20 (12%) leukemic transformations and 66 (41%) deaths were recorded, with no significant differences between the PMF and post-ET MF cohorts (P=0.16 and 0.11, respectively). Kaplan-Meier survival estimates revealed comparably favorable median OS in both CALR type 1/like-mutated variants: not yet reached and 13 years in post-ET MF vs PMF, respectively (P=0.7) (Figure 1A). Multivariable analysis disclosed moderate to severe sex-adjusted anemia (P<0.001), ≥2% circulating blasts (P<0.001), very high risk (VHR) karyotype (P<0.001), age >70 years (P=0.006), and constitutional symptoms (P=0.008) to be independent predictors of inferior OS in CALR type 1/like-mutated PMF (Table 2). LFS was significantly shortened in the presence of IDH1 mutations (P=0.01) and platelets <100 x 109/l (P=0.02) while IDH2 mutations (P=0.02), leukocytosis ≥11 x 109/l (P=0.03) and history of arterial thrombosis (P=0.04) were independent predictors of shortened TFS. Importantly, myelofibrosis variant (primary vs post-ET) did not influence survival (P=0.7) or complication rates (P=0.8 for LFS, P=0.09 for TFS) (Table 2). The karyotype- and mutation-enhanced international prognostic scoring system (MIPSS70+ version 2.0), was effective in risk stratifying type 1/like CALR-mutated PMF (P-values 0.01 to <0.0001), with the exception of low vs intermediate (P=0.22) and intermediate vs high risk (P=0.49) (Figure 1C). The detrimental influences of unfavorable/VHR karyotype and ASXL1 mutations were confirmed (Figure 2A-B) while borderline adverse and prognostically neutral effects were seen on OS for U2AF1 (n=116; P=0.05) and SRSF2 (n=120; P=0.98) respectively (Figure 2C-D). Conclusions: The current study documents analogous disease patterns in primary and post-ET CALR type 1/like-mutated MF and provides information on determinants of long-term survival. Disclosures No relevant conflicts of interest to declare.

Abstract Background: Current prognostic models in primary myelofibrosis (PMF) target overall survival (OS) and utilize MIPSS70 (mutation-enhanced international prognostic scoring system for transplant-age patients), MIPSS70+ version 2.0 (karyotype-enhanced MIPSS70) and GIPSS (genetically-inspired prognostic scoring system, which is based on mutations and karyotype) (JCO 2018;36:310; JCO doi: 10.1200/JCO.2018.78.9867; Leukemia. 2018;doi:10.1038/s41375-018-0107). In the current study, we used logistic regression statistics to identify risk factors for leukemic transformation (LT) within 5 years of diagnosis/referral (i.e. early events) and also performed Cox regression analysis of overall leukemia-free survival (LFS). Methods : Study patients were recruited from the Mayo Clinic, Rochester, MN, USA. Diagnoses of LT and chronic phase PMF were confirmed by both clinical and bone marrow examinations, in line with the 2016 World Health Organization criteria (Blood. 2016;127:2391); specifically, LT required presence of ≥20% blasts in the peripheral blood (PB) or bone marrow (BM) (Blood 2016;127:2391). Statistical analyses considered clinical and laboratory data collected at the time of initial PMF diagnosis or Mayo Clinic referral point. Logistic regression statistics was used to identify predictors of LT at 5 years from initial diagnosis/referral; in the particular method, patients with documented LT within 5 years were "uncensored" while those followed up for at least 5 years, without developing LT, were "censored"; the analysis excluded patients without LT and not followed for at least 5 years. In addition, Cox regression analysis was performed to identify risk factors for overall LFS. The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 1,306 patients with PMF (median age 65 years; 63% males) were included in the current study; MIPSS70+ version 2.0 risk distribution was 20% very high risk, 41% high risk, 19% intermediate risk, 16% low risk and 4% very low risk. 149 (11%) patients were documented to experience LT, and compared to the remaining patients (n=1157), they were more likely to be males (p=0.02) and mutated for ASXL1 (p=0.01), SRSF2 (0.001) and IDH1 (0.02) and present with higher risk MIPSS70+ version 2.0 (p=0.02). Multivariable logistic regression identified the following as predictors of LT in the first 5 years of disease: IDH1 mutation (odds ratio; OR 78.4), very high risk (VHR) karyotype (OR 57.6), ASXL1 mutation (OR 15.1), age >70 years (OR 13.3), SRSF2 mutation (OR 8.5), male sex (OR 6.9), PB blasts ≥3% (OR 5.4), presence of moderate or severe anemia, adjusted for sex (OR 3.6) and constitutional symptoms (OR 3.1). On Cox regression analysis, the following were associated with inferior LFS: IDH1 mutation (HR 4.3), PB blasts ≥3% (HR 3.3), SRSF2 mutation (HR 3.0), age >70 years (HR 2.1), ASXL1 mutation (HR 2.0) and presence of moderate or severe anemia, adjusted for sex (HR 1.9). Subsequently, HR-based risk point allocation resulted in highly discriminating LT predictive model with HR (95% CI) of 39.4 (10.8-114) for high risk and 4.1 (2.4-7.3) for intermediate risk (Figure 1). Conclusions: The current study identifies IDH1 mutation as a main predictor of LT in PMF. Our study also implicates SRSF2 and ASXL1 mutations and VHR karyotype as other genetic markers of early LT. Other independent contributors of early LT and inferior LFS, overall, included PB blasts ≥3%, moderate to severe anemia and older age. We provide LT prediction model, based on these variables, with leukemia risk ranging from 8% to 57%. 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 While unfavorable karyotype at referral is associated with significantly inferior overall and leukemia-free survival in myelofibrosis (MF) patients (Blood. 2011 Oct 27;118(17):4595), the incidence of clonal evolution during JAK inhibitor (JAKi) treatment and its clinical significance are not currently known. We conducted a sponsor-independent, single-center retrospective analysis examining the phenotypic correlates and prognostic impact of clonal evolution during JAKi treatment. Methods Clinical, cytogenetic and molecular data were collected on MF patients treated with one or more JAKi on a clinical trial at the Mayo Clinic, Rochester, MN. Baseline data pertained to the onset of treatment with first JAKi. Karyotype risk categories were as previously defined (Blood. 2011 Oct 27;118(17):4595). Serial bone marrow biopsies were obtained at varying frequencies based on individual JAKi protocol requirements. Mutation screening was performed as previously described (Leukemia. 2013 Apr 26. doi: 10.1038/leu.2013.119). Information on survival and leukemic transformation was updated in July 2013. Results A total of 157 MF patients were studied (60% male; median age 65 years, range 34-89 years). The DIPSS-plus distribution was: Low/Int-1 20 (13%), Int-2 66 (42%), and High 71 (45%). The first JAKi was momelotinib (CYT387) in 79 patients (50%), ruxolitinib in 51 (33%) and fedratinib (SAR302503) in 27 (17%). Median follow up from first JAKi treatment was 30 months (range 1-67 months); during this period, 72 deaths (46%) and 14 (9%) leukemic transformations were documented. Eighty nine patients (57%) had a median total 3 (range 2-8) bone marrow biopsies with karyotype analysis during JAKi treatment. Of these, 21 patients (24%) showed clonal evolution (ie, acquisition or loss of one or more chromosome abnormalities when comparing last observed karyotype during JAKi treatment to baseline). Overall, 13 patients (15%) had upstaging of karyotype risk category (eg, normal to unfavorable), 9 (10%) had downstaging (eg, favorable to normal) and 67 (75%) had no change. Acquisition of worse-than-baseline karyotype was significantly higher in DIPSS-plus high-risk patients (26%) versus non-high risk patients (6%) (p=0.03). There was no association between acquisition of a worse karyotype category and baseline karyotype risk category or ASXL1 or SRSF2 mutation status. There was borderline association with RBC transfusion-dependence and constitutional symptoms at baseline (p=0.06). There was no relationship between clonal evolution and achievement of spleen or anemia response during JAKi treatment (p>0.05). The median overall survival of the entire cohort was 41 months. On univariate analysis, overall survival was significantly worse in patients who acquired a worse-than-baseline karyotype risk category during JAKi treatment (n=13, 77% deaths, median survival=31 months) versus those who did not (n=76, 43% deaths, median survival=52 months) (p=0.01) (Figure). On multivariate analysis, the prognostic significance of acquiring a worse karyotype risk category was maintained against all individual DIPSS-plus prognostic variables, including baseline karyotype risk category, except age >65 years. On univariate analysis, leukemia-free survival was significantly worse in patients who acquired a worse-than-baseline karyotype risk category during JAKi treatment (n=13, 31% leukemic transformation, median leukemia-free survival=32 months) versus those who did not (n=76, 8% leukemic transformation, median leukemia-free survival not reached) (p=0.0006) (Figure). On multivariate analysis against known predictors of leukemic risk in PMF patients (ie, baseline unfavorable karyotype, SRSF1 mutated status and platelet count <100 x 109/L), only acquisition of a worse-than-baseline karyotype risk category maintained its prognostic value (HR 5.3, p=0.03) Conclusions This is the first study to examine the incidence of clonal evolution during JAKi treatment in MF patients. Approximately 25% of patients exhibited clonal evolution; acquisition of a worse-than-baseline karyotype risk category had a strong and independent association with inferior leukemia-free survival. A similar association was also observed for inferior overall survival, albeit not independent of older age. In contrast, there was no association with spleen or anemia response during JAKi treatment. Disclosures: Pardanani: Bristol Myers Squibb: Clinical trial support Other; Sanofi: Clinical trial support. Publication support service., Clinical trial support. Publication support service. Other; PharmaMar: Clinical trial support, Clinical trial support Other; JW Pharmaceutical Corp.: Clinical trial support, Clinical trial support Other.

Abstract Background Recent studies have suggested that increased circulating free light chains, inflammatory cytokines, hepcidin, ferritin, and ASXL1 mutated status have independent prognostic value for survival in primary myelofibrosis (PMF). In the current retrospective study, we studied all the aforementioned variables in the context of DIPSS-plus to examine their relative prognostic contributions for overall and leukemia-free survival. Methods The diagnosis of PMF was according to WHO criteria. The study population included all consecutive referrals to the Mayo Clinic, Rochester, MN where complete information on clinical and laboratory parameters and bone marrow karyotype was available. Inclusion to the study required availability of a research blood sample collected at referral. Levels of circulating free light chains (FLC) (J Clin Oncol. 2012 Apr 1;30(10):1087), inflammatory cytokines (J Clin Oncol. 2011 Apr 1;29(10):1356), hepcidin and ferritin (Am J Hematol. 2013 Apr;88(4):312) were determined as previously described. Disease-relevant mutations (ASXL1, SRSF2, EZH2, IDH-1/2, SF3B1, JAK2V617F and MPLW515) were identified as previously described (Leukemia. 2013 Apr 26. doi: 10.1038/leu.2013.119). Results A total of 224 PMF patients were studied (66% male; median age 63 years, range 18-83 years). The DIPSS-plus distribution was: Low 23 (10%), Int-1 26 (12%), Int-2 98 (44%), and High 77 (34%). Clinical characteristics were: unfavorable karyotype 13%, hemoglobin <10 g/dL 58%, leukocyte count >25 x 109/L 13%, platelet count <100 x 109/L 20%, peripheral blasts ≥1% 62%, red blood cell transfusion-dependent 38%, and constitutional symptoms 36%. Mutation frequencies were: JAK2V617F 61% (n=220), MPLW515 6% (n=204), ASXL1 34% (n=154), SRSF2 16% (n=189), IDH-1/2 3% (n=209), EZH2 1.5% (n=134), SF3B1 5% (n=91) and SETBP1 4% (n=114). Distribution of circulating biomarkers was: FLC >receiver operating characteristic (ROC) cutoff of 3.78 mg/dL 37% (n=222), interleukin (IL)-2R and/or IL-8 >3 standard deviations above normal mean (SD) 75% (n=197), ferritin ≥1000 mcg/L 18% (n=146), ferritin ≥500 30% (n=146), and hepcidin >3SD 72% (n=203). Median follow up from the time of referral was 45 months (range 1-317 months); during this period, 139 deaths (62%) and 27 (12%) leukemic transformations have been documented. The median overall survival of the entire cohort was 61 months. The following variables had DIPSS-plus independent predictive value for inferior survival: ferritin ≥1000 mcg/L (HR 1.9), ASXL1 mutated status (HR 1.7) and FLC >ROC cutoff (HR 2.0) and IL-2R and/or IL-8 >3SD (HR 1.6) (all p<0.05). When the aforementioned variables were added to the multivariate model (sequentially or altogether), only serum ferritin >1000 mcg/L retained its significance for overall survival independent of DIPSS-plus (HR 2.1; p=0.03). The predictive significance for increased ferritin level was maintained in RBC transfusion-dependent (ferritin ≥1000 mcg/L; n=26/54; median survival 21 versus 59 months; p=0.03) and -independent (ferritin >500 mcg/L; n=5/92; median survival 20 versus 80 months; p=0.0002) patients. Multivariable analysis identified the following predictors for inferior leukemia-free survival: SRSF2 mutated status (HR 4.8), unfavorable karyotype (HR 4.0), and circulating blasts ≥1% (HR 3.0) (p<0.05). Conclusions When considering composite risk-assessment in PMF where input variables were disease-relevant mutations and circulating biomarkers in addition to traditional clinical parameters, only increased serum ferritin levels at time-of-referral retained adverse predictive value for overall survival independent of DIPSS-plus. The prognostic value of serum ferritin was independent of anemia and RBC transfusion need. It appears to more fully capture the severity of the underlying erythropoietic defect in PMF by also likely reflecting (as an acute-phase reactant) the marrow-suppressive effect of disease-related inflammation. The shortened survival in patients with increased ferritin levels was unrelated to iron overload since none of the deaths, where information was available, were caused by cardiac siderosis. Serum ferritin levels were not associated with leukemic transformation risk. In the latter analysis, only SRSF2 mutations, unfavorable karyotype and presence of circulating blasts were independently associated with inferior leukemia-free survival. Disclosures: No relevant conflicts of interest to declare.