Finke, Christy M.

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 JAK inhibitors (JAKi) currently represent a frontline treatment modality in patients with symptomatic intermediate- or high-risk myelofibrosis (MF). While the efficacy of JAKi in decreasing spleen size and improving disease-related symptoms is well documented, the effect of this drug class on overall survival and risk of leukemic transformation in MF patients is less well understood, primarily due to short follow up in individual patient cohorts. Furthermore, there is scant information on baseline predictors of overall and leukemia-free survival, and also spleen and/or anemia responses, at the onset of JAKi therapy. We conducted a sponsor-independent single-center retrospective review of patients treated with JAKi with long follow up to address the aforementioned issues. Here, we report our findings regarding baseline predictors of clinical outcome and treatment response in MF patients treated with JAKi. Methods Clinical, cytogenetic and molecular data were retrospectively collected on patients treated with one or more JAKi on a clinical trial at the Mayo Clinic, Rochester, MN. Baseline clinical data pertained to the onset of treatment with the first JAKi. Karyotype information was available for all patients. Screening for JAK2V617F, MPLW515, ASXL1, and SRSF2 mutations was performed as previously described (Leukemia. 2013 Apr 26. doi: 10.1038/leu.2013.119). Spleen size was measured by palpation by clinical investigators. Anemia and spleen responses were adjudicated as per IWG criteria (Tefferi, Blood, 2006). 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). Ninety seven patients (62%) had primary MF, 42 (27%) post-polycythemia vera MF, and 18 (11%) post-essential thrombocythemia MF. The DIPSS-plus distribution was: Low/Int-1 20 (13%), Int-2 66 (42%), and High 71 (45%). Other characteristics were: JAK2V617F positive 78%, unfavorable karyotype 17%, hemoglobin <10 g/dL 58%, leukocyte count >25 x 109/L 31%, platelet count <100 x 109/L 15%, peripheral blasts ≥1% 69%, red blood cell transfusion-dependent 37%, and constitutional symptoms 56%. Forty one patients (38%) were ASXL1 mutated (n=108) and 20 (18%) SRSF2 mutated (n=110). One hundred and thirty nine patients (89%) were evaluable for spleen response (median spleen size by palpation 19 cm, range 6-32 cm) and 91 (58%) for anemia response by IWG criteria. 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 have been documented. The median overall survival of the entire cohort was 41 months. Multivariable analysis identified the following DIPSS-plus independent predictors for survival: palpable spleen size >20 cm (HR 2.5), ASXL1 mutated status (HR 3.1) and SRSF2 mutated status (HR 3.8) (all p<0.01) (Figure). In contrast, there was no difference in survival with regards to the first JAKi used for MF treatment (p=0.3). Multivariable analysis identified the following predictors for leukemia-free survival: SRSF2 mutated (HR 9.7), unfavorable karyotype (HR 8.7), and palpable spleen size >20 cm (HR 9.1) (all p<0.01). Predictors of spleen response included baseline spleen size (≤20 cm 56%, >20 cm 34%; p=0.01), with borderline significance for ASXL1 mutation status (unmutated 51%, mutated 31%; p=0.06). Predictors of anemia response included RBC transfusion status at baseline (transfusion dependent 38%, transfusion independent 12%; p<0.01) and JAK2V617F status (unmutated 46%, mutated 22%; p=0.02). Conclusions Larger baseline spleen size and ASXL1 and SRSF2 mutated status predicted for inferior overall survival, independent of DIPSS-plus, at the onset of first JAKi treatment in MF patients. Similarly, multivariable analysis identified larger baseline spleen size and presence of unfavorable karyotype and SRSF2 mutations as being predictive for inferior leukemia-free survival. Spleen response rates were significantly superior in patients with smaller baseline spleen size and possibly ASXL1 unmutated status. Anemia response rates were significantly higher in patients who were transfusion-dependent at baseline and had JAK2V617F unmutated status. Disclosures: Pardanani: Bristol Myers Squibb: Clinical trial support Other; Sanofi: Clinical trial support, Publication support services, Clinical trial support, Publication support services Other; PharmaMar: Clinical trial support, Clinical trial support Other; JW Pharmaceutical Corp.: Clinical trial support, Clinical trial support Other. Off Label Use: Use of Ruxolitinib, Momelotinib, Fedratinib and Pomalidomide for treatment of Myelofibrosis in Clinical Trial setting.

Abstract Background Spliceosome pathway gene mutations are recurrent in myeloid malignancies with the highest frequencies reported for myelodysplastic syndromes associated with ring sideroblasts (MDS-RS; 85%), MDS without RS (44%) and chronic myelomonocytic leukemia (CMML; 55%) (Nature 2011;478:64). SF3B1 mutations were the most frequent (75%) in MDS-RS and SRSF2 mutations in CMML (28%); U2AF1 mutational frequencies were 12% in MDS without RS and 8% in CMML. We have previously described SRSF2 (Blood. 2012;120:4168) and SF3B1 (Leukemia. 2012;26:1135) mutations in 17% and 6.5% of patients with primary myelofibrosis (PMF); prognostic relevance was shown for the former but not the latter. Objectives The objectives of the current study were to i) describe the incidence of U2AF1 mutations in PMF and their correlation with clinical features, karyotype and other mutations and ii) examine the prognostic significance of U2AF1 mutations in PMF, in the context of both conventional prognostic models and other prognostically-relevant mutations. Methods Information on clinical and laboratory parameters and karyotype was available in all study patients, at time of referral, which coincided with time of sample collection for mutation screening. Risk stratification was according to the Dynamic International Prognostic Scoring System (DIPSS)-plus system. U2AF1 and other mutations were analyzed using standard PCR techniques and bidirectional sequencing; for U2AF1, two hot spots that included residues S34 and Q157 were amplified. Results A total of 251 PMF patients (median age 63 years; 160 males) were studied. DIPSS-plus risk distribution was high in 32%, intermediate-2 in 38%, intermediate-1 in 17% and low in 13% of the patients. The frequency of each DIPSS-plus adverse feature was as follows: age >65 years (42%), transfusion need (32%), hemoglobin <10 g/dL (47%), leukocyte count >25 x 10(9)/L, (16%), platelet count <100 x 10(9)/L (22%), ≥1% blasts (57%), constitutional symptoms (35%), and unfavorable karyotype (9%). Karyotype was normal in 156 (63%) patients. At a median follow-up of 48 months, 158 (63%) deaths and 27 (11%) leukemic transformations were recorded. Mutational frequencies Forty-one (16.3%) patients harbored U2AF1 mutations: 16 (39%) Q157P, 10 (24%) Q157R, 8 (20%) S34F, 4 (10%) S34Y and one each for Q157P/E159A, Q157R/S34Y and Q157-Y158insYE. Frequencies for other mutations were 11% for SRSF2, 7.3% for SF3B1, 31% for ASXL1, 5.5% for EZH2, 5% for IDH1/2 and 58% for JAK2V617F. U2AF1 mutations were usually, but not always, exclusive of other spliceosomal mutations: one patient expressed all three spliceosomal mutations. The frequency of any one of the three spliceosomal mutations was 34%. Clinical correlates U2AF1 mutations were significantly associated with older age (p=0.02), JAK2V617F (p=0.002), mutant ASXL1 (p=0.04), transfusion need (p<0.0001), hemoglobin <10 g/dL (p<0.0001), platelets <100 x 10(9)/L (p<0.0001) and normal karyotype (p=0.006). The associations with anemia, thrombocytopenia, JAK2V617F and normal karyotype were inter-independent; the frequency of U2AF1 mutations in the presence of anemia was 29%, transfusion need 36%, thrombocytopenia 35%, JAK2V617F 23% and normal karyotype 21%. Prognostic interactions U2AF1 mutations were associated with inferior overall (p=0.004) but not leukemia-free (p=0.6) survival. However, the survival association was fully accounted for by the above-mentioned clustering of U2AF1 mutations with anemia and thrombocytopenia. Similarly, although multivariable analysis of U2AF1, SRSF2, ASXL1, EZH2 and IDH mutations identified the first three as being independently predictive of poor survival, only ASXL1 and SRSF2 remained significant when either anemia or thrombocytopenia was included as a co-variate. Conclusions U2AF1 mutations are the most frequent spliceosome pathway mutations in PMF, cluster with normal karyotype and JAK2V617F, and are strongly associated with anemia and thrombocytopenia; the latter suggests a pathogenetic contribution to ineffective hematopoiesis in PMF. The current study also suggests that more than one third of patients with PMF carry a spliceosome mutation. Disclosures: No relevant conflicts of interest to declare.

Abstract Activating mutations in colony stimulating factor 3 receptor gene (CSF3R) have recently been identified as specific driver mutations in chronic neutrophilic leukemia (CNL)(NEJM 2013;368:1781). We sought to outline the clinical and laboratory characteristics and natural history of this molecularly defined entity. Methods : An IRB- approved retrospective analysis of all cases of CSF3R-mutated WHO-defined CNL was undertaken. Methods of mutation analysis have been previously published. (Leukemia 2013; 27: 1870) Results : From 10/1995 to 3/2013, fourteen patients (median age 67 years; 57% male) with CSF3R-mutated CNL were evaluated at the Mayo Clinic. Most of the CSF3R mutations identified occurred in isolation: T618I (n=11), M696T (n=2) and I598I SYN (n=1), although one T618I mutant patient also carried a cytoplasmic domain mutation (2341_2342insC ). All patients were BCR/ABL negative. Five carried a SETBP1 mutation: G870D (n=2), D868N (n=2) and G872R (n=1), all of whom carried the T618I mutation. Only one of 10 tested carried a CALR mutation (E398D) and none of 13 the JAK2 V617F mutation. Apart from fatigue, most patients were asymptomatic at diagnosis and leukocytosis had been mostly an incidental laboratory finding. Ten (71%) patients had preceding chronic leukocytosis, median duration 12.5 months (range 5-84), 5 reported weight loss, which was accompanied by fevers/ sweats in 3. Five (36%) patients had prior exposures to adjuvant chest wall irradiation for breast cancer (n=2), radioiodine for thyroid disease (n=2) and methotrexate/cyclophosphamide for autoimmune disease (n=2). Five (36%) patients had palpable splenomegaly. Peripheral blood (PB) parameters, median (range) at diagnosis were: Hb 10.8 g/dl (8.5-16.0), WBC: 54 x 10(9)/L (21.7-176.2), platelets: 201 x 10(9)/L (25-476), neutrophils: 85% (78-94), immature cells (myelocytes + metamyelocytes): 6% (0-11) and monocytes: 3% (0-10). Neutrophils had toxic granulation and Dohle Bodies in 71% of cases. LDH was elevated in all patients: 354 U/L (225-496). None had a monoclonal protein. The bone marrow (BM) was hypercellular in all patients: 95% (80-100%) and granulocytic precursors were markedly increased with left-shifted (n=11) or normal maturation. BM blasts were < 5%. Reticulin fibrosis was absent (n=5), 1+ (n=5) or 1-2+ (n=1) in those with staining. Cytogenetics were normal in all but one at diagnosis. One patient was lost to follow up after diagnosis. Hydroxyurea (HU) was the most frequently used therapy (initial therapy in 10 patients) and was ultimately received by all. Although initially effective at controlling leukocytosis, clinical course of most was defined by progressive refractory mature neutrophilia with the development of red cell (n=6) and platelet transfusion (n=3) dependancy. Other therapies included IFN or PEG/IFN (n=4), hypomethylating agents (n=4), ruxolitinib (n=2), thalidomide (n=2), cladribine (n=2) and imatinib (n=1). None of these additional drugs, induced remission and they provided primarily palliative and transient benefit. One patient transformed into AML at 17 months, one received induction chemotherapy for suspected AML (PB and BM blasts at 11-13%) at 19 months and two evolved into WHO-defined CMML, at 20 and 27 months, respectively. Both patients with documented/suspected AML were both T618I and SETBP1 positive. Of the cases progressing to CMML (one with T618I, one with M696T) neither was SETBP1 positive. At last follow up, eight patients had died and median survival was 22.5 months. Progressive refractory neutrophilic leukocytosis often preceded and contributed to death. Four (29%) patients are currently alive after a median follow-up of 61 months (14.3- 69.4). Conclusion : CSF3R-mutated CNL is an aggressive disease (median survival <2 years) characterized by progressive neutrophilic leukocytosis which is only partially controlled with current drugs, including the putative targeted therapy ruxolitinib (both ruxolitinib-treated patients progressed on treatment). Patients with CNL could progress into AML or CMML; however, most succumb from complications associated with progressive treatment-refractory leukocytosis. The observation that both patients with documented/suspected AML were SETBP1-mutation positive suggests potential pathogenetic link. Disclosures Off Label Use: Ruxolitinib, cladribine, thalidomideand inteferon. These drugs were used in a historical account of CNL and I report on these in a retrospective chart review only..

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 Abstract 430 Background: The Dynamic International Prognostic Scoring System (DIPSS-plus) uses eight risk factors to predict overall survival (OS) in primary myelofibrosis (PMF): unfavorable karyotype, peripheral blood (PB) blast count ≥1%, platelet count <100 × 109/L, white blood cell count (WBC) >25 × 109/L, hemoglobin level <10 g/dL, red blood cell transfusion need, constitutional symptoms, and age >65 years (JCO 2011;29:392). Among these risk factors, karyotype holds a dominant role in predicting both overall (OS) and leukemia-free (LFS) survival (Blood 2011;118:4595). More recently, certain PMF-associated somatic mutations (IDH, EZH2, ASXL1, SRSF2) have been reported (in print or at recent meetings) to carry prognostic relevance for OS or LFS in PMF while other mutations (JAK2, MPL, TET2, SF3B1) did not. The purpose of the current study was to examine the individual and combined prognostic relevance of the former in the context of cytogenetic risk stratification and DIPSS-plus. Methods: An updated Mayo Clinic database of 1008 karyotypically- and DIPSS-plus-annotated patients with PMF was used to identify study patients in whom DNA at time of referral was available for mutation analysis. OS and LFS were calculated from the time of referral, which was also the time of study sample collection. Results: In an ongoing project, a total of 397 PMF patients have so far been studied for IDH1/2 (n=367), SRSF2 (n=355), ASXL1 (n=260) and EZH2 (n=43) mutations. The corresponding mutational frequencies were 5.4% (20/367), 14.4% (51/355), 31.2% (81/260) and 7% (3/43). These mutations were not exclusive of either each other or JAK2 or MPL mutations and a significant clustering was noted between SRSF2 and IDH mutations; IDH mutational frequency was 21% (10/48) in SRSF2-mutated versus 3% (9/279) in unmutated cases (P<0.0001). Mutational hotspots were P95 in exon 1 for SRSF2 and exons 1, 2 and 5 for ASXL1. OS and LFS effect have so far been examined for ASXL1, SRSF2 and IDH 1/2 mutations; in univariate analysis, all three mutations significantly affected OS (ASXL1 RR 1.9, 95% CI 1.4–2.7; SRSF2 RR 1.7, 95% CI 1.2–2.5; IDH 1/2 RR 1.8, 95% CI 1.1–3.1) whereas only IDH 1/2 (RR 5.5, 95% CI 2.5–11.8) and SRSF2 (RR 3.5, 95% CI 1.7–7.0) but not ASXL1 (p=0.29) mutations affected LFS. The observed prognostic relevance for OS was sustained during multivariable analysis that included ASXL1 with either SRSF2 or IDH mutations, as co-variates, whereas both IDH and SRSF2 mutations remained significant for LFS. Based on the above observations, study patients were classified into two groups: i) unmutated for ASXL1, SRSF2 and IDH1/2 (all unmutated; n=146) and ii) mutated for at least one of the three mutations (one or more mutated; n=130); the latter group constituted 62%, 52%, 18% and 27% of DIPSS-plus high, intermediate-2, intermediate-1and low risk patients, respectively (p<0.0001). The corresponding rates for patients with favorable and unfavorable karyotype were 47% and 43% (p=0.7) and for normal vs. abnormal karyotype were 53% and 36% (p=0.008). The “all unmutated group”, compared to the “one or more mutated group” enjoyed a significantly superior OS (RR 0.5, 95% CI 0.4–0.7) and LFS (RR 0.3, 95% CI 0.2–0.7) that was DIPSS-plus-independent for OS (p=0.03) and karyotype-independent for LFS (p=0.004). The prognostic value of distinguishing “all unmutated” from “one or more mutated” patient groups was most evident for DIPSS-plus intermediate-2 or lower risk groups (p=0.002) and its added value for high-risk group was limited (p=0.23) (Figure). Conclusions: A concomitant analysis strategy reveals that SRSF2, ASXL1 and IDH mutations carry inter-independent prognostic relevance for overall or leukemia-free survival in PMF. Any one of these three mutations is more likely to occur in patients with normal karyotype and such an event predicts shortened survival that is not accounted for by DIPSS-plus and a higher risk of leukemic transformation that is independent of karyotype. The current study suggests that such information might be useful in treatment decisions involving intermediate-2 or lower risk patients. Disclosures: No relevant conflicts of interest to declare.

AbstractHypomethylating agents (HMA) are currently the only FDA approved therapy for patients with chronic myelomonocytic leukemia (CMML). In the current retrospective study, we assessed response rates as adjudicated by the IWG (International Working Group) MDS (myelodysplastic syndrome) and MDS/MPN myeloproliferative neoplasm overlap syndrome response criteria, in 121 CMML patients treated with Azacitidine (AZA, n = 56) and Decitabine (DAC, n = 65). The overall response rates were 41% by the IWG MDS (AZA‐ 45%, DAC‐39%), and 56% by the IWG MDS/MPN (AZA‐56%, DAC‐58%) response criteria, with CR (complete remission) rates of <20% for both agents, by both criteria. There were no significant differences in response rates between proliferative and dysplastic CMML. Moreover, 29% of CMML patients in a CR with HMA progressed to AML (blast transformation), underscoring the limited impact of these agents on disease biology. Progression after HMA response was associated with a median overall‐survival (OS) of 8 months, while median OS in patients with primary HMA failure was 4 months. Lower serum LDH levels (<250 Units/L) were associated with HMA responses by both criteria; while ASXL1 and TET2 mutational status had no impact. HMA treated patients had a longer median OS (31 vs 18 months; P = .01), in comparison to those treated with conventional care regimens (excluding observation only patients), without any differences between AZA vs DAC (P = .37). In conclusion, this study highlights the inadequacies of HMA therapy in CMML, retrospectively validates the IWG MDS/MPN response criteria and underscores the need for newer, rationally derived therapies.

Abstract JAK2 mutations in myeloproliferative neoplasms (MPNs) are associated with the germline GGCC (46/1) haplotype. In 2010, we reported an association between shortened survival in primary myelofibrosis (PMF) and nullizygosity for the JAK2 46/1 haplotype. In the current study, we have increased the number of informative cases from 130 to 414 (median age 63 years; 63% males), in order to revisit with the phenotypic and prognostic relevance of the JAK2 46/1 haplotype in PMF. 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 = .02). 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), most pronounced in JAK2 (P <.001), as opposed to CALR/MPL mutated (P = .48) or triple‐negative cases (P = .27). Multivariable analysis that included karyotype, driver mutational status and high‐molecular risk mutations confirmed the independent prognostic contribution of nullizygosity for the 46/1 haplotype (P = .02; HR 1.4, 95% CI 1.1‐1.8). Nullizygosity for 46/1 also remained significant in the context of the genetically‐inspired GIPSS risk model (P = .04), but not in the context of the integrated genetics‐clinical MIPSS70+ version 2.0 model (P = .4). Leukemia‐free survival was not affected by the 46/1 haplotype (P = .6). The current study confirms the association of nullizygosity for the JAK2 GGCC (46/1) haplotype with inferior survival in JAK2‐mutated PMF.