Barraco, Daniela

Abstract Background In polycythemia vera (PV), abnormal karyotype at diagnosis has been reported in 10% to 20% of patients and some studies have suggested an association with inferior survival (Leukemia2013;27:1874) . In the current study, we examined the prognostic contribution of abnormal karyotype, in general, and specific abnormalities, in particular, in newly diagnosed PV. Methods Study patients were selected from our institutional database of myeloproliferative neoplasms (MPN) and fulfilled the 2008 World Health Organization (WHO) criteria for diagnosis of PV (Blood. 2009;114:937). Cytogenetic analysis and reporting was done according to the International System for Human Cytogenetic Nomenclature (Cytogenetic and Genome Research2013;141:1-6). Assignment as "unfavorable karyotype" was according to criteria established for PMF: favorable = normal + favorable abnormalities; unfavorable = unfavorable abnormalities (Leukemia. 2011;25:82). Screening for the two most frequent mutations in PV, other than JAK2 (i.e. TET2 and ASXL1), were performed according to conventional methods (Leukemia. 2014;28:2206). Statistical analyses considered clinical and laboratory parameters obtained at time of diagnosis. Results Patient characteristics: Median (range) values for the 239 study patients (53% females) included: age 62 (17-94), leukocyte count 11.7 x 10(9)/L (4.3-59.3) and platelet count 479 x 10(9)/L (37-2747). Palpable splenomegaly was present in 26% of the patients, pruritus in 27%, erythromelalgia in in 8%, hypertension in 47%, diabetes in 10% and hyperlipidemia in 28%. Thrombosis history at diagnosis was documented in 33% of the patients and 20% experienced the same after diagnosis. 73% of the patients were "high risk" by conventional risk stratification. Mutation screening for TET2 and ASXL1 was performed in 80 patients and mutational frequencies were 19% and 11% respectively. All study patients provided cytogenetic information, which was abnormal in 46 (19%) patients. The most frequent abnormalities were isolated +9 (n=11; 24% of abnormal karyotype and considered favorable), isolated del(20q) (n=8; 17% of abnormal karyotype and considered favorable), isolated loss of Y chromosome (n=7; 15% of abnormal karyotype and considered favorable) and isolated +8 (n=5; 11% of abnormal karyotype and considered unfavorable). A total of 9 (20% of abnormal karyotype) patients displayed unfavorable karyotype that included +8 in 7 patients, del(11q) in one patient and +20 in one patient. After a median follow-up of 83 months, 70 (29%) deaths, 48 (20%) thrombotic events, 20 (8%) fibrotic progressions and 7 (3%) leukemic transformations were documented. Comparison of patients with and without cytogenetic abnormalities Patients with abnormal cytogenetics were older (p=0.048), displayed lower platelet count (p=0.005) and were more likely to be high risk (p=0.02); there was no significant correlation with TET2 or ASXL1 mutation. In univariate analysis, patients with abnormal cytogenetics displayed inferior leukemia-free (p=0.007; HR 10.6, 95% CI 1.9-58.7), myelofibrosis-free (p<0.0001; HR 7.7, 95% CI 3.1-19.3) and overall (p=0.13; HR 1.6, 95% CI 0.9-2.8) survival. Furthermore, the difference in overall survival became significant when cytogenetic abnormalities were classified into unfavorable (p=0.006) and favorable (p=0.6) categories. On the other hand, inferior leukemia-free and myelofibrosis-free survival was noted in both patients with favorable and unfavorable cytogenetic abnormalities, when compared to normal karyotype. During multivariable analysis that included age and leukocytosis (≥15 x 10 (9)/L) as covariates, the adverse effect of abnormal cytogenetics on leukemia-free (p=0.009) or myelofibrosis-free (p<0.0001) survival and that of unfavorable karyotype on overall (p=0.05) survival were shown to be independent. Finally, patients with abnormal cytogenetics were less likely to experience thrombosis after diagnosis (p=0.04; HR 0.3, 95% CI 0.09-0.97), an effect that was independent of both age and thrombosis history. Conclusions Cytogenetic abnormalities in PV confer an independent adverse prognostic effect on overall, leukemia-free and myelofibrosis-free survival, but not thrombosis-free survival; the adverse effect on leukemia-free and myelofibrosis-free survival was seen with both favorable and unfavorable cytogenetic abnormalities. Disclosures No relevant conflicts of interest to declare.

Abstract Background The International Working Group for Myeloproliferative Neoplasms (MPN) Research and Treatment (IWG-MRT) has previously identified older age, leukocytosis, venous thrombosis and abnormal karyotype as risk factors for overall survival (OS) in polycythemia vera (PV), and older age, abnormal karyotype and leukocytes ≥15 × 109/l as risk factors for leukemia-free survival (LFS) (Leukemia2013;27:1874). Serum lactate dehydrogenase (LDH) is a surrogate quantitative measure of cell turnover and tumor burden. We hypothesized that, compared to leukocyte count, serum LDH might be a biologically more accurate indicator of tumor aggression and sought to examine its potential utility as a prognostic biomarker in PV. Methods Study patients were selected from our institutional database of MPN based on their meeting the 2008 or 2016 World Health Organization criteria for diagnosis of PV (Blood. 2009;114:937; Blood 2016 127:2391) and availability of serum LDH level, obtained within six months of diagnosis. Information on karyotype and targeted next-generation sequencing was available in a subset of the patients (Blood 2015 126:354). Statistical analyses considered clinical and laboratory parameters obtained at time of diagnosis. Age and leukocyte count prognostic categories were based on previously published IWG-MRT study (Leukemia2013;27:1874). Results Patient characteristics: A total of 216 patients (50% females) met the above-outlined criteria: median (10th-90th percentile) levels were for age 63 years (38-81), hemoglobin 18 g/dL (16.6-20.7), platelets 467 x 10(9)/L (237-833), leukocyte count 11.7 x 10(9)/L (7.2-20.3) and spleen size 0 cm (0-2). Pruritus was documented in 28%, microcirculatory symptoms in 31%, erythromelalgia in 6%, hypertension in 45%, diabetes in 7%, active tobacco use in 13%, hyperlipidemia in 25%, palpable spleen in 26% and abnormal karyotype in 15% of informative cases. Grading for bone marrow reticulin fibrosis was documented for 144 patients: 50% grade "0", 42% grade "1", 7% grade "2" and 1 grade "3". Thrombosis history at diagnosis was documented in 26% of patients and occurred after diagnosis in 19%. Mutation analysis was available in 72 patients and revealed TET2 mutations in 18 (25%), ASXL1 in 5 (7%), SRSF2 in 2 (3%) and IDH2 in one (1.4%). Serum LDH levels and correlates: Median serum LDH level was 226 U/L (range 71-1008); the upper normal limit (UNL) for Mayo Clinic was 222 U/L. Increased serum LDH was recorded in 110 (51%) patients that included 26 (12%) patients with LDH ≥1.5 x UNL. A significant correlation was demonstrated between increased serum LDH and older age (p=0.007), female sex (p=0.04), leukocytosis (p=0.01), venous thrombosis history (p=0.005) and, interestingly, absence of active tobacco use (p=0.003); no correlation was noted for bone marrow reticulin fibrosis, presence of palpable splenomegaly, abnormal karyotype or ASXL1 mutation. Survival analysis: After a median follow-up of 77 months, 82 (38%) deaths, 8 (3.7%) leukemic transformations, 13 (6%) fibrotic progressions and 41 (19%) thrombotic events were documented. In univariate analysis, the following adversely affected OS: advanced age (P<0.0001), increased LDH as a continuous variable (p=0.0006), LDH ≥1.5 x UNL (p<0.0001), leukocyte count ≥15 x 10(9)/L (p=0.02) and arterial thrombosis history (p=0.001). In multivariable analysis, only age and LDH remained significant; multivariable HR (95% CI) were 5.4 (2.8-10.4) for age ≥67 years, 3.2 (1.8-6.0) for LDH ≥1.5 x UNL and 2.4 (1.2-4.7) for age 57 to 66 years. In the subset of patients with available information on karyotype and non-JAK2 mutations (n=72), advanced age, LDH ≥1.5 x UNL and ASXL1 mutations remained significantly associated with inferior survival. Serum LDH also predicted leukemic transformation (HR 17.8, 95% CI 4.1-78) and fibrotic progression (HR 11.6, 95% CI 25-53.7); in multivariable analysis, only serum LDH ≥1.5 x UNL (HR 22.3, 95% CI 2.1-234.6) and abnormal karyotype (HR 9.5, 95% CI 1.2-74.7) predicted leukemic transformation and only the former predicted fibrotic progression. Conclusions Serum LDH is a simple and inexpensive biomarker that might supersede leukocyte count as an independent predictor of overall, leukemia-free and myelofibrosis-free survival in PV; advanced age and ASXL1 mutations also retained significance for OS and abnormal karyotype for LFS. Disclosures No relevant conflicts of interest to declare.

Abstract Background : An increased incidence of second skin and visceral malignancies in comparison to the general population has been reported in patients with hematologic neoplasms such as, chronic lymhocytic leukemia (CLL) (~11-36%) (Tsimberidou, JCO, 2009),chronic myeloid leukemia (CML) (4-6%) (Miranda, Leukemia 2016)and multiple myeloma (MM) (3-4.3%) (Palumbo, Lancet Oncol 2014).Diverse etiologies exist for this association. We carried out this study to describe the spectrum of second malignancies in patients with chronic myelomonocytic leukemia (CMML). Methods : Patients with World Health Organization defined CMML were included in the study. All patients had bone marrow (BM) biopsies performed at diagnosis. We only included malignancies that were diagnosed at the time of CMML diagnosis or subsequent to it. Patients that had concomitant systemic mastocytosis (n=18), therapy related CMML (n=19) and those that underwent allogeneic stem cell transplantation (n=23) were excluded. Standard cancer specific diagnostic and staging methods were utilized. Results: The study included 378 patients (median age 71 years; 66% males). Seventy-one concomitant and/or subsequent second malignancies were identified in thirty-two (8%) patients. Age group distribution was; 50-59 years 1 (1%), 60-69 years 21 (30%), 70-79 years 30 (42%) and ≥ 80 years 19 (27%) second malignancies. 22 (69%) patients had 1 second malignancy, 4 (13%) had 2, 2 (6%) had 4 (skin neoplasms), while 4 (13%) patients had ≥ 5 second malignancies (Table one). At a median follow-up of 18 months, 284 (75%) deaths and 54 (14%) leukemic transformations were documented. i) Second hematological malignancies: Thirteen (18%) concomitant (n=7, 54%) and subsequent hematological malignancies (n=6, 46%) were observed in 13 (3.5%) patients. In addition, 10 (3%) pre malignant states including, 7 patients with MGUS and 3 with monoclonal B-cell lymphocytosis (MBL) were seen. In one case each, the MGUS and MBL evolved into multiple myeloma (after 16 months) and CLL (after 30 months), respectively. Concomitant malignancies included: polycythemia vera (n=2, 15%), MM (n=2, 15%), marginal zone B-cell lymphoma (n=1, 8%), splenic lymphoma (n=1, 8%), ALK-rearranged T-cell lymphoma (n=1, 8%), while subsequent malignancies included: MM (n=1, 8%), diffuse large B-cell lymphoma (n=1, 8%), Waldenström's macroglobulinemia (n=1, 8%), CLL (n=2, 15%) and acute lymphoblastic leukemia (n=1, 8%). Four (31%) patients needed chemotherapy, with outcomes including: complete remission in one case (multiple myeloma), progression of disease in 2 (multiple myeloma and diffuse large B cell-lymphoma) and partial response in 1 case (ALK rearranged T cell lymphoma). CMML related cytopenias did not preclude patients from getting chemotherapy. Three patients died from causes related to their second malignancies. ii) Cutaneous malignancies: Fifty-one (71%) concomitant (n=12, 24%) and subsequent cutaneous malignancies (n=39, 76%) were seen in 13 (3%) patients. The concomitant malignancies included: 7 (14%) basal cell carcinoma (BCC), 5 (10%) squamous cell carcinoma (SCC), while subsequent cancers included: 3 (6%) malignant melanoma, 7 (14%) BCC and 29 (57%) SCC. Four cases (8%) were locally advanced and four patients (8%) had recurrent lesions. A concomitant diagnosis of BCC and SCC was made in 8 patients (16%). All patients were treated surgically or with electrodesiccation and curettage. No deaths or metastases were reported. iii) Visceral malignancies: Seven (10%) subsequent visceral malignancies were seen in 6 (1%) patients. These included; colonic adenocarcinoma (n=2, 29%), bladder adenocarcinoma (n=1, 14%), endometrial adenocarcinoma (n=1, 14%), prostate adenocarcinoma (n=1, 14%), clear cell renal carcinoma (n=1, 14%) and papillary thyroid carcinoma (n=1, 14%). All the cases were localized and surgically resected, with two patients (colonic and endometrial adenocarcinoma) needing adjuvant chemo-radiotherapy. All patients achieved complete remission with no mortality related to second malignancies. Conclusions: Approximately 8% of CMML patients have second cutaneous (3.5%), hematological (3.5%) and visceral (1%) malignancies, with most of these occurring in and beyond the seventh decade (~70%) of life. Mortality related to second cancers was low (2%), with most patients receiving appropriate surgical and adjuvant chemo-radiation therapy. Disclosures Al-Kali: Celgene: Research Funding; Onconova Therapeutics, Inc.: Research Funding.

Abstract Background Increased serum levels of lactate dehydrogenase (LDH) typically accompany primary myelofibrosis (PMF) and might be linked to increased cell turnover from clonal myeloproliferation, including leukocytosis, low grade hemolysis and extra-medullary hematopoiesis in the liver. Despite the fact that serum LDH has been extensively utilized as a prognostic marker in both lymphoid neoplasms and solid tumors, there are limited studies in PMF that have systematically examined the clinical significance of the degree of serum LDH elevation in PMF. Methods Study patients fulfilled the 2016 WHO criteria for the diagnosis of PMF, including both pre-PMF and overt PMF (Blood. 2016;127:2391). Additional selection criteria included the availability of serum LDH at time of referral. Marked elevation of serum LDH was defined as a value of ≥1000 U/L (i.e. over 4-fold increase from the upper limit of the normal range for our institution, which was 122-222 U/L), based on preliminary analysis of the threshold for prognostic effect. Targeted next generation sequencing was used to screen for prognostically-relevant mutations (Blood 2015126:354). Statistical analyses considered clinical and laboratory parameters obtained at time of initial referral to the Mayo Clinic. Results LDH values in overt PMF versus pre-PMF: The entire study population consisted of 357 patients, including 311 with overt PMF and 46 with pre-PMF. The median serum LDH level was 514 U/L (range 136-2263): overt PMF 532 U/L (range 136-2263); pre-PMF 401 U/L (range 180-1237) (p=0.0003). Accordingly, in order to avoid the confounding effect of the difference in serum LDH level between overt PMF and pre-PMF, and considering the small number of patients with pre-PMF, further analysis was limited to the 311 patients with overt PMF. Patient characteristics: The 311 patients (median age 64 years; 66% males) with overt PMF included 205 (66%) JAK2, 49 (16%) type 1/like CALR, 13 (4%) type 2/like CALR, 16 (5%) MPL mutated cases and 28 (9%) were "triple-negative". DIPSS-plus risk distribution was 31% high, 43% intermediate-2, 15% intermediate-1 and 12% low; 30% displayed red cell transfusion-dependency and 37% abnormal karyotype, including 14% with unfavorable karyotype. 184 patients were screened for ASXL1 mutations with 42% mutated and 205 for SRSF2 mutations with 16% mutated. Clinical correlates of markedly elevated LDH (≥1000 U/L): Among all 311 study patients with overt PMF, 37 (12%) displayed marked elevation of LDH (≥1000/L). Patients with marked elevation of LDH displayed significantly higher leukocyte count (p=0.005; R-squared = 0.05), circulating blast percentage (p=0.03; R-squared = 0.07) and SRSF2 mutational frequency (44% vs 12%; p<0.0001). Survival analysis: After a median follow up of 3 years, 199 (64%) deaths and 31 (10%) leukemic transformations were documented. In univariate analysis, increased serum LDH level was associated with inferior survival, both as a continuous variable (p=0.002) and as a categorical variable with the cutoff level of 1000 U/L (HR 2.02, 95% CI 1.3-3.1; p=0.001); the survival effect LDH ≥1000/L was independent of DIPSS-plus (HR 1.6, 95% CI 1.1-2.5). Other variables that were significantly associated with shortened survival, on univariate analysis, included all 8 DIPSS-plus variables (p≤0.01 in all instances), absence of CALR type 1/type 1-like (p<0.0001) and presence of ASXL1 (p<0.0001) or SRSF2 (p=0.0006) mutations. In multivariable analysis that included only genetic risk factors, serum LDH retained its significance (HR 2.2, 95% CI 1.3-3.6), along with absence of CALR type 1/type 1-like, or presence of ASXL1 or SRSF2 mutations or unfavorable karyotype. In multivariable analysis that included only clinical variables, serum LDH ≥1000/L was again independently predictive of poor survival (HR 1.7, 95% CI 1.1-2.6), along with age >65 years, hemoglobin <10 g/dL, platelets <100 x 10(9)/L, leukocyte count >25 x 10(9)/L and constitutional symptoms. Patients with marked LDH elevation were also more likely to undergo leukemic transformation (HR 3.1, 95% CI 1.2-7.6). Conclusion The current study suggests that marked elevation of serum LDH in PMF indicates aggressive tumor biology that is currently not accounted for by established clinical or genetic risk factors; the low R-squared values seen in relation to leukocyte count and circulating blasts are consistent with this assumption. Disclosures No relevant conflicts of interest to declare.

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 Based on suggestive information from recent epidemiologic data and earlier retrospective studies, we revisited the effect of gender on survival in 1,494 patients with essential thrombocythemia (ET). The primary study population included 904 patients from the Mayo Clinic (median age 58 years; 65% females); risk distribution, according to the international prognostic score for ET (IPSET), was 23% high, 42% intermediate and 35% low. Multivariable analysis that included IPSET‐relevant risk factors identified male sex (HR 1.6, 95% CI 1.3‐2.0), age ≥60 years (HR 4.3, 95% CI 3.4‐5.4) and leukocyte count ≥11 × 10(9)/L (HR 1.5, 95% CI 1.3‐1.9) as independent predictors of shortened survival. These findings were confirmed by analysis of a separate cohort of 590 ET patients (65% females) from the University of Florence, Italy, with corresponding HRs (95% CI) of 1.6 (1.1‐2.5), 4.6 (2.2‐9.5) and 1.8 (1.1‐2.8). The independent prognostic effect of gender was further corroborated by a separate multivariable analysis against IPSET risk categories; HR (95% CI) for the Mayo Clinic/Florence cohorts were 1.5/1.6 (1.2/1.1‐1.8/2.5) for male sex, 6.8/7.5 (5.0/3.1‐9.3/18.3) for IPSET high risk and 2.8/4.1 (2.1/1.8‐3.8/9.5) for IPSET intermediate risk. Furthermore, the survival disadvantage in men was most apparent in IPSET high risk category and in patients older than 60 years. In both patient cohorts, thrombosis history garnered significance in univariate, but not in multivariable analysis. The observations from the current study suggest that women with ET live longer than their male counterparts and that gender might supersede thrombosis history as a risk variable for overall survival.