Zblewski, Darci

Abstract Background: Chronic myelogenous leukemia (CML) is a BCR-ABL1 driven myeloid neoplasm, with excellent response rates to tyrosine kinase inhibitors (TKI). TKI such as imatinib (IM), dasatinib (DAS), nilotinib (NIL), bosutinib (BOS), and ponatinib (PON) currently US FDA approved, have dramatically changed survival outcomes. That being said, two main challenges exist; suboptimal responses and TKI intolerance. The reason why some patients tolerate/respond to TKI better than others is unknown, but is potentially explainable based on drug metabolism. The field of pharmacogenomics (PGX) is rapidly evolving, with commercial panel's rapidly assessing metabolic pathways such as cytochrome P450 (CYP), UGTA1A, p-glycoprotein/ABCB1. We carried out this study using a 22 gene-PGX panel to assess potential causes of TKI related intolerance and suboptimal responses in compliant patients. Methods: Twenty-nine Mayo Clinic patients with CML were prospectively recruited after informed consent. Buccal swabs were utilized for PGX testing to assess variations/polymorphisms involving CYP3A4/5, 1A2, 2C9, UGT1A1, amongst others (www.Oneome.com). Three groups of patients were recruited, those with i) TKI intolerance, ii) suboptimal responses by ELN criteria, iii) and newly diagnosed cases, to assess if PGX testing could explain TKI intolerance or resistance, or alter choice of therapy in newly diagnosed cases. A pharmacology review was obtained to interpret reports in all cases. Results: 29 patients with CML were prospectively enrolled, median age 64 years, 15 (52%) male. At last follow up (median 21 months), 3 (10%) deaths and no disease progressions were documented. 82% received first line IM, whereas 18% received first line DAS. Major metabolic pathways assessed for IM included, CYP3A4 and 5, while minor pathways included 2C19, 2C9 and 2D6. Majority (83%) of IM patients had normal major pathways with 17% being intermediate-normal. With regards to the minor pathways, 25% were rapid metabolizers for 2C19, whereas 29% were intermediate and 4% poor metabolizers for 2C9 and 50% and 16% were intermediate and poor metabolizers for 2D6. In all IM treated patients PGX testing did not completely explain intolerance or resistance and did not change clinical decision making. Front line DAS was used in 18% and the major pathway assessed was CYP 3A4, with 80% being normal and 20% being intermediate metabolizers. Once again PGX testing did not completely explain intolerance/resistance and no therapeutic changes were based on PGX analysis. Seventeen (59%) patients received second line TKI therapy (50% each for intolerance and resistance), with DAS (58%) and NIL (29%), being the two most common. Once again for DAS, 90% had normal 3A4 metabolism while 10% were intermediate and for NIL 80% were normal and 20% intermediate. Only one of 2 NIL treated patients with UGTA1A polymorphisms developed indirect hyperbilirubinemia (grade 1). In the second line setting, PGX testing did not completely explain or alter treatment decisions. BOS was used as a third line agent in 3 (>10%) patients, 2 who remained refractory and one with intolerance, and all three were normal CYP3A4 metabolizers. None of these patients developed diarrhea a common side effect of BOS. PON was used in one patient with intermediate CYP3A4 metabolism as a 5th line agent and the patient continues to have refractory disease with no thrombotic events. In all cases, no changes were made to concomitant medications based on PGX testing. Conclusion: In conclusion, while PGX testing has rapidly evolved and become commercially available, in the context of TKI therapy for CML, while it offers useful insights on minor metabolic derangements and side effects like NIL induced hyperbilirubinemia, in our study, currently limited by a small sample size, it did not completely explain TKI intolerance or resistance. Recruitment of additional patients (n=100) and correlations with plasma drug levels are currently ongoing. Table. Table. Disclosures Al-Kali: Novartis: Research Funding. Stewart:Amgen Inc., Celgene, Roche, Seattle Genetics: Research Funding; Amgen Inc., BMS, Celgene, Takeda, Roche, Seattle Genetics, Janssen, Ono: Consultancy.

Abstract Background: Trabectedin is an FDA-approved DNA minor groove binder (MGB) that has activity against translocation-associated sarcomas. Lurbinectedin is a next-generation MGB with pre-clinical activity against myeloid leukemia cells. A dose-finding phase 1 clinical trial was performed in patients with acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) with further assessment of safety and tolerability. Methods: Forty-two patients with relapsed/refractory AML/MDS received lurbinectedin administered as a 1-hour intravenous infusion in a 3+3 study design. Two dosing schedules were used: 3.5 mg, 5 mg, 7 mg, or 6 mg on days 1 and 8 or 2 mg, 3 mg, 1 mg, or 1.5 mg for 3 consecutive days on days 1 to 3. Patients 18 years or older with a diagnosis of advanced, relapsed/refractory AML (non-acute promyelocytic leukemia) and MDS were eligible and treated on study. Eligible patients had adequate hepatic, renal, and cardiac function and an Eastern Cooperative Oncology Group (ECOG) performance status of 0 to 2. Patients with uncontrolled infection, human immunodeficiency virus, cardiac and neurological disorders, or those who were pregnant were ineligible. Clinical trial information: NCT01314599. Results: Three patients experienced dose-limiting toxicities of rhabdomyolysis (grade 4), hyperbilirubinemia (grade 3), and oral herpes (grade 3) with the days 1 and 8 schedule. Otherwise, adverse events mainly consisted of gastrointestinal manifestations (n=11), febrile neutropenia/infections (n=4), pulmonary toxicity (n=2), and renal failure (n=2). The most common laboratory abnormalities observed were an increase in creatinine (93%) and anemia, neutropenia, and thrombocytopenia (100%). Overall, 33 of 42 patients (79%) had reduction in blasts in peripheral blood or bone marrow. One patient achieved a partial response and two patients a morphologic leukemia-free state. Most (n=30, 71%) were discontinued due to progressive disease. Early deaths occurred from disease-related causes that were not attributable to lurbinectedin. Four patients with a chromosome 11q21-23 abnormality had significantly greater bone marrow blast reduction than those without such abnormality, with decrease of 31±14% (n=4) vs. 8±8% (n=16), respectively (P=0.04). Conclusions: Overall, lurbinectedin was safe and tolerated using the schedules and dose levels tested. While no sustained remissions were observed, single-agent lurbinectedin was transiently leukemia suppressive for some patients. Disclosures Rodríguez: PharmaMar: Employment. Ravandi:Bristol-Myers Squibb: Research Funding; Jazz: Honoraria; Abbvie: Research Funding; Seattle Genetics: Research Funding; Abbvie: Research Funding; Amgen: Honoraria, Research Funding, Speakers Bureau; Orsenix: Honoraria; Seattle Genetics: Research Funding; Astellas Pharmaceuticals: Consultancy, Honoraria; Sunesis: Honoraria; Orsenix: Honoraria; Macrogenix: Honoraria, Research Funding; Astellas Pharmaceuticals: Consultancy, Honoraria; Jazz: Honoraria; Xencor: Research Funding; Bristol-Myers Squibb: Research Funding; Amgen: Honoraria, Research Funding, Speakers Bureau; Macrogenix: Honoraria, Research Funding; Xencor: Research Funding; Sunesis: Honoraria. Daver:Sunesis: Consultancy; Alexion: Consultancy; Daiichi-Sankyo: Research Funding; BMS: Research Funding; ImmunoGen: Consultancy; Kiromic: Research Funding; Incyte: Research Funding; Pfizer: Consultancy; Incyte: Consultancy; ARIAD: Research Funding; Karyopharm: Consultancy; Pfizer: Research Funding; Karyopharm: Research Funding; Novartis: Consultancy; Sunesis: Research Funding; Novartis: Research Funding; Otsuka: Consultancy. Jain:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Research Funding; Infinity: Research Funding; Pfizer: Research Funding; Novimmune: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; ADC Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologioes: Research Funding; Pharmacyclics: Research Funding; Incyte: Research Funding; Verastem: Research Funding; Seattle Genetics: Research Funding; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Research Funding; Astra Zeneca: Research Funding; Servier: Research Funding; Celgene: Research Funding; Seattle Genetics: Research Funding; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Infinity: Research Funding; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Research Funding; Cellectis: Research Funding; ADC Therapeutics: Research Funding; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologioes: Research Funding; Pharmacyclics: Research Funding; Cellectis: Research Funding; Verastem: Research Funding; Servier: Research Funding; Abbvie: Research Funding; Incyte: Research Funding; Genentech: Research Funding; Abbvie: Research Funding; BMS: Research Funding; Astra Zeneca: Honoraria, Membership on an entity's Board of Directors or advisory committees; Verastem: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; ADC Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Servier: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novimmune: Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees. Maiti:Celgene Corporation: Other: Research funding to the institution. Martinez:PharmaMar: Employment. Siguero:PharmaMar: Employment. Al-Kali:Novartis: Research Funding.

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 : Pre-treatment determinants of survival in adult acute myeloid leukemia (AML) include performance status, age, karyotype, the distinction between primary and non-primary AML and FLT3-ITD/NPM1 mutational status. Current literature on AML natural history and risk factors is often based on information derived from stringent protocol studies. In the current series of 1,123 adult patients seen at the Mayo Clinic between 2004 and 2017, we examined long-term survival specified by a number of primarily established risk factors. Methods: Diagnosis of AML and its sub-classification was according to World Health Organization criteria. Study subjects were recruited from the Mayo Clinic AML database. Conventional response criteria were used for CR and CRi assignment; the latter met all criteria for CR with the exception of platelet count <100 x 109/l or absolute neutrophil cunt <1 x 109/l. Standard statistical methods were used for analysis of overall survival, calculated from the initial diagnosis of AML to date of death or last follow-up; analyses were performed both in the absence and in the presence of censoring of survival at time of allogenic stem cell transplant (ASCT). The JMP® Pro 13.0.0 software from SAS Institute, Cary, NC, USA, was used for all calculations. Results: 1,123 adult patients (median age 65 years, range 18-94; 61% males) with non-APL AML were considered; 61% were age >60 years. 351 (31%) patients were seen between 2004 and 2009 and 772 (69%) between 2010 and 2017. AML subcategories were primary (56%), post-myelodysplastic syndromes (post-MDS; 24%), therapy-related (10%), post-myeloproliferative neoplasm (post-MPN; 8%) and post-MDS/MPN (3%). Cytogenetic risk distribution, according to the European LeukemiaNet classification, was favorable in 47 (4%), intermediate in 650 (58%) and adverse risk in 426 (38%) patients. FLT3, NPM1 and CEBPA mutation information was available in 462 (24% mutated), 393 (27% mutated) and 228 (11% mutated) patients, respectively. Treatment included intensive chemotherapy (IC) in 766 (68%) patients, less aggressive chemotherapy, including the use of hypomethylating agents in 144 (13%) and supportive care alone in 213 (19%) patients. ASCT was utilized in 258 (23%) cases, almost all performed after achieving CR/CRi. Complete remission (CR) and CR with incomplete count recovery (CRi) were listed in 333 (30%) and 248 (22%) patients, respectively; the corresponding rates in IC-treated patients were 43% and 32%. Almost all cases of CR/CRi occurred in IC-treated patients; 2 (1.4%) CRs were listed for less aggressive chemotherapy. After a median follow-up of 11 months, 798 (71%) deaths were recorded. Median survival for all 1,123 patients was 14 months with 1-, 3- and 5-year survival rates of 54%, 29% and 23%, respectively; a slight but significant (p=0.01) improvement in survival was apparent in more recent years (Figure 1a). Figures 1b, 1c and 1d depict analysis stratified by AML subcategories, treatment received and response obtained, respectively. Similarly, figures 2a, 2b and 2c depict analysis stratified by karyotype, use of ASCT and age. Multivariable analysis of pre-treatment parameters evaluable in all 1,123 patients identified age >60 years (HR 2.2, 1.9-2.6), adverse karyotype (HR 2.9, 1.9-4.9), intermediate-risk karyotype (HR 1.6, 1.02-2.6), post-MPN AML (HR 1.9, 1.5-2.4) and other secondary AML (HR 1.3 (1.1-1.6), as risk factors for shortened survival; the inclusion in the model of FLT3/NPM1 mutational status in 392 informative cases confirmed the adverse prognostic effect of age >60 years (HR 1.8, 1.4-2.5), adverse karyotype (HR 3.7, 1.4-15.3), post-MPN AML (HR 2.8, 1.6-4.6), other secondary AML (HR 1.4, 1.0-1.9) and FLT3+NPM1- (HR 2.8, 1.6-4.9) and FLT3-NPM1- (HR 1.7, 1.2-2.7) profile. Results were unchanged when survival was censored at time of ASCT. Additional prognostic interaction with treatment strategy and ASCT is further elaborated in an accompanying abstract to be presented. Conclusions: The current study, the largest coming from a single institution, provides practically useful information that should assist with patient consultation on AML prognosis and treatment. The study confirms the primary prognostic importance of age, karyotype and FLT3/NPM1 mutational status, in real-life practice. Novel observations included comparable value of CRi vs CR and the particularly worse prognosis associated with post-MPN AML. Disclosures Al-Kali: Novartis: Research Funding.

Abstract Background JAK inhibitors, including ruxolitinib, are to date incapable of inducing complete (CR) or partial (PR) remissions, reversal of bone marrow (BM) fibrosis or molecular responses in myelofibrosis (MF). This is consistent with the fact that JAK2 mutations are neither specific nor pathogenetically essential for the disease. Other currently available drugs in MF are equally ineffective in terms of disease-modifying activity. Methods In an investigator-sponsored single-center study (ClinicalTrials.gov Identifier: NCT01731951), imetelstat, a lipid-conjugated oligonucleotide inhibitor of human telomerase, was administered to patients with high or intermediate-2 risk MF (JCO 2011). Adverse events were monitored by common terminology criteria (Version 4.03) and responses by the International Working Group criteria (Blood 2013). Eligibility criteria included platelets ≥50 x 10(9)/L. Study drug and funding were provided by Geron Corporation (Menlo Park, CA, USA). Imetelstat was administered by a 2-hour intravenous infusion (9.4 mg/kg) every three weeks (cohort A) or weekly x 3 followed by every three weeks (cohort B). Mutations with prognostic (ASXL1 and SRSF2) or phenotypic (SF3B1 and U2AF1) relevance were screened by DNA sequencing. Quantitative PCR was used to measure JAK2V617F burden (assay sensitivity 0.01%). Laboratory correlative studies included analyses of granulocyte telomere length, mononuclear cell telomerase activity and human telomerase reverse transcriptase (hTERT) isoforms. Results Thirty-three patients were accrued; the first 18 patients enrolled and followed for a minimum of 3 months or discontinued are presented in this abstract: 11 cohort A and 7 cohort B; 44% PMF, 33% post-PV MF and 22% post-ET MF. Median age was 68 years and baseline risk was high in 56% and intermediate-2 in 44%. Seven patients were transfusion-dependent. Median spleen size was 13 cm and 11 patients had constitutional symptoms. Karyotype was abnormal in 7 patients and 89% were JAK2-mutated. Fifteen (83%) patients were previously treated including 7 with a JAK inhibitor and 3 with pomalidomide. i) Toxicity At a median f/u of 3.2 months, 16 (89%) patients remain on treatment; the two discontinuations were from unrelated death and disease progression. In cohort A, there were no grade-4 treatment-related adverse events; grade-3 events were limited to thrombocytopenia in 27% and anemia in 9%. In cohort B, two (29%) patients experienced grade-4 thrombocytopenia; grade-3 events were limited to thrombocytopenia, neutropenia and anemia in one patient each. Dose reduction was necessary in only two (11%) patients because of grade 3 or 4 myelosuppression. ii) Efficacy Overall response rate was 44%. This included five (28%) patients who met the BM and peripheral blood morphologic criteria for CR (n=4) or PR (n=1) and 3 patients with clinical improvement, pending validation of response duration and resolution of drug-induced grade-1 thrombocytopenia. The four (22%) CR patients experienced reversal of BM fibrosis and recovery of normal megakaryocyte morphology. Two CR patients were transfusion-dependent at baseline and became transfusion-independent. Complete molecular responses were documented in 2 CR patients: one had U2AF1Q157P and 10% JAK2V617F and the other SF3B1K666E and 50% JAK2V617F. A third CR patient had a >50% reduction in U2AF1 469_insAGTATG mutation. Among 13 patients with leukocytosis, 10 (77%) normalized their count or had >50% reduction. Eleven (61%) patients had complete or partial resolution of leukoerythroblastosis. iii) Laboratory correlative studies Three (50%) of 6 spliceosome-mutated vs. 1 (8%) of 12 unmutated (p=0.045) achieved CR. Spliceosome-mutated patients were also more likely to experience grade-3/4 myelosuppression (67% vs. 25% ; p=0.09). Treatment was associated with suppression of telomerase activity, shortening of telomere length and alteration of hTERT isoform pattern. Conclusions The current study signifies the potential value of telomerase-based treatment strategies in MF and identifies imetelstat as an active drug in that regard. The observed morphologic and molecular remissions confirm selective anti-clonal activity, which has thus far eluded other drugs in MF, including JAK inhibitors. The association between response and spliceosome mutations suggests a broader application for the drug in myeloid malignancies.</abstract> Disclosures: Stuart: Geron: Consultancy.

Abstract Background: KIT D816V is considered the driver mutation in systemic mastocytosis (SM) however this mutation alone does not explain the diverse clinical manifestations of SM. While mutations in other myeloid-relevant genes have been reported in SM, their pattern(s) of co-segregation and prognostic value, independent of age and SM subtype, have not been fully defined in a mature dataset. Objectives: In this pilot study of advanced SM patients, we sequenced a panel of myeloid-relevant genes for known pathogenic mutations, to ascertain: (i) the frequency of individual mutations; (ii) the pattern(s) of mutation co-segregation; and (iii) the prognostic value of mutations, both individually and in combination, on overall- (OS) and leukemia-free survival (LFS). Methods: The current study was approved by the Mayo Clinic institutional review board. SM was classified as per World Health Organization criteria. DNA was isolated from archived bone marrow (BM) cell pellets. Next-generation deep sequencing by HiSeq SBS chemistry (Illumina) was performed to investigate the coding regions of 22 genes: KIT, JAK2, CALR, SRSF2, U2AF1, SF3B1, ASXL1, TET2, EZH2, SETBP1, DNMT3A, IDH-1/2, SUZ12, CBL, NRAS, FLT3, PTPN11, RUNX1, CEBPA, TP53 and NPM1. Results: We studied 19 patients with advanced SM; 6 had aggressive SM (ASM) and 13 had SM with an associated hematological disease (SM-AHD). Of the latter, 5 patients (38%) had myeloproliferative neoplasm-unclassified (MPN-u), 3 (23%) chronic myelomonocytic leukemia (CMML), 2 (15%) acute myeloid leukemia (AML), and 1 (8%) each polycythemia vera, myelodysplastic syndrome, and multiple myeloma. The median follow up from diagnosis was 20 months (range 2 to 84). Over this period, 5 patients (26%) developed leukemic transformation and 12 patients (63%) have died. KIT D816V was identified in 9 (47%) patients; 9 of 10 patients who tested negative by deep sequencing were screened by allele-specific PCR (sensitivity ~0.01%), with 8 additional patients testing positive. Thus, overall KIT D816V frequency was 89%. Fourteen (74%) patients harbored at least one additional non-KIT mutation; of these 7 patients had one additional mutation (ASXL1/TET2/SF3B1 = 2 each and JAK2 =1), 3 patients each had two and three additional mutations, and 1 patient had 4 additional mutations. The most frequently mutated genes (other than KIT) were ASXL1/TET2 (5 patients each, 26%), CBL (4 patients, 21%), SETBP1/SF3B1/DNMT3A (2 patients each, 11%) and JAK2/CALR/FLT3/IDH-1/RUNX1/TP53 (1 patient each, 5%). There was no overlap between patients harboring TET2 and ASXL1 mutations however 2 and 1 CBL-mutated patients concurrently harbored TET2 and ASXL1 mutations, respectively. SETBP1 and SF3B1 but not DNMT3A mutations occurred independently of TET2 and ASXL1 mutations. The distribution of mutations was similar between ASM and SM-AHD subgroups. When considered individually, the following non-KIT mutated genes (present in at least 2 patients) were associated with significantly inferior OS: ASXL1, CBL and SETBP1 (p<0.05). When the 3 mutated genes were considered together, only ASXL1 and CBL maintained their significance, independent of age and SM subtype, for inferior OS (Hazard ratio (95% confidence interval)=34.8 (3.1-393.9) and 59.7 (4.1-861.5), respectively). Patients harboring ASXL1 and/or CBL mutations (n=8, 8 deaths, median OS=11 months) had a significantly worse OS as compared to those without either mutation (n=11, 4 deaths, median OS=84 months) (p=0.0002) (Fig 1). When considering the number of non-KIT mutations (zero, one, two, three and four mutations in 5, 7, 3, 3 and 1 patients, respectively), the group with ≥3 mutations (n=4, 4 deaths, median OS=7 months) had a significantly inferior OS as compared to those with <3 mutations (n=15, 8 deaths, median OS=48 months) (p=0.01) (Fig 2). Presence of mutations was not correlated with LFS in this analysis. Conclusions: In this cohort of advanced SM patients, non-KIT mutations were frequent (prevalence 74%). TET2, ASXL1, SETBP1 and SF3B1, but not CBL or DNMT3A, mutations were mutually exclusive. Presence of ASXL1 and CBL mutations was associated with significantly inferior OS (HR=35 and 60, respectively), independent of known prognostic factors. An increasing number of non-KIT mutations (≥3, HR=5.9) was also associated with a significantly worse survival outcome. Sequencing results from a larger cohort will be presented at the meeting. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Pardanani: Stemline: Research Funding.

Abstract Background: International Working Group (IWG) has set criteria in 2003 for response assessment in patients with AML; at which time intensive chemotherapy was the main therapy (Cheson, JCO 2003). Hypomethylating agents (HMA) were approved shortly after for the treatment of elderly AML (Fenaux, JCO 2009; Dombret et al Blood 2015). Although few patients achieve a deep response, the majority will have stable disease (SD), some of which could last several months while patients continue to receive HMA and gain clinical benefit. We hereby describe outcomes for patients who achieve SD with HMA for the treatment of elderly unfit AML patients. Methods: A total of 56 AML patients' data from Feb 2007 to June 2015 at Mayo Clinic were reviewed after appropriate IRB approval was obtained. All cases had their bone marrow slides reviewed at our institution. Patients were considered for our study if they received HMA as frontline therapy for their AML. Patients who received HMAs after induction chemotherapy failure or for their MDS were excluded. Response was identified based on 2003 IWG AML response criteria. Patients with SD were categorized into short-lasting (<6 cycles of HMA, cohort 1) or long-lasting (≥6 cycles of HMA, cohort 2) SD.Prognostic factors were analyzed by univariate and multivariate analyses. Survival estimates were calculated using Kaplan-Meier curves and univariate and multivariate analyses was based on log-rank testing using JMP software version 10. Results: i) Characteristics: Fifty six AML patients were treated with HMA as frontline therapy with median age of 76 years (range, 59-91), 68% of which were males. Therapy related AML (T-AML) was seen in 2% of the cases. Cytogenetics were favorable risk in 2%, intermediate in 62%, and poor in 36%. Complete remission (CR) was found in 10 (18%) patients, CR with incomplete count recovery in 3 (5%), partial remission (PR) in 3 (5%) patients. Forty patients were non-responders (SD). ii) Characteristics of HMA SD cohorts: Upon comparison of cohort 1 versus cohort 2 there was no statistical significance in median age, white blood count, absolute neutrophil count, platelets, peripheral blood and bone marrow blasts, bone marrow cellularity and sex. Median number of cycles was expectedly higher in cohort 2 vs 1 (9 vs 2, p<0.0001). Intermediate cytogenetic risk was more common in cohort 2 vs 1 (90% vs 43%, p=0.006), while poor risk was more common in cohort 1 vs 2 (57% vs 10%, p=0.006). Only 10% had complex karyotype in cohort 2 compared to 50% in cohort 1 (p=0.017). NPM1 mutation was absent in all cases, while FLT3 mutation was present 30% in cohort 1 and 25% in cohort 2 (p = 0.9). Decitabine was more commonly given in cohort 1 vs cohort 2 (80% vs 50%, p =0.07). iii) Clinical outcome of HMA SD cohorts : Median overall survival was higher in long-lasting SD patients (cohort 2) vs short-lasting SD (18 vs 4 months, p = 0.0002). Upon multivariate analysis, both age (p <0.0001) and long-lasting SD (p =0.01) were statistically significant for overall survival but not cytogenetics risk grouping nor type of HMA administered. Conclusions: Standard response criteria for AML by IWG were developed for intensive chemotherapy and do not apply to newer agents, specifically HMA. Stable disease (SD) could be meaningful to some elderly AML patients when treated with HMA. Intermediate cytogenetics and azacitidine use were more frequent in patients with long-lasting SD. Long-lasting SD did confer a survival benefit in elderly AML patients. Newer response criteria for assessing novel agents' efficacy are needed in this population. Figure Figure. Disclosures Tibes: Italfarmaco S.p.A.: Consultancy, Honoraria. Foran:pfizer: Honoraria; Millennium Pharmaceuticals, Inc.: Research Funding; medscape: Honoraria; karyopharm: Honoraria; novartis: Honoraria; boehringer ingelheim: Research Funding; agios: Research Funding; Cellerant: Research Funding. Al-Kali:Novartis: Research Funding; Celgene: Research Funding.

Abstract Background: CD123 is the α-subunit of the high-affinity receptor for interleukin-3; its expression in normal bone marrow (BM) is highly restricted, however CD123 is highly expressed in certain hematolymphoid malignancies. In a pilot study of 11 systemic mastocytosis (SM) patients (Lasho et al., Leukemia, 2015), we made the following novel observations (i) CD123 was aberrantly expressed on neoplastic mast cells (MC); and (ii) there was focal proliferation of plasmacytoid dendritic cells (PDC) around MC aggregates, suggesting a tumor promoting role for PDC. Objectives: To study MC CD123 expression by IHC in a larger cohort of SM patients to ascertain: (i) whether there is a significant difference in CD123 expression between SM subtypes; (ii) whether focal PDC proliferation around MC aggregates is correlated with CD123 expression; and (iii) whether CD123 expression has prognostic value for overall survival (OS). Methods: The current study was approved by the Mayo Clinic institutional review board. SM was classified as per standard criteria. Archived BM slides were stained for tryptase and CD123 as previously described (Lasho et al., Leukemia, 2015). Slides were reviewed independently by 2 hematopathologists who were blinded with regards to SM subgroups and scored on the following pre-defined parameters: (i) CD123 expression yes/no; (ii) CD123 expression strong/weak; (iii) focal PDC proliferation yes/no; and (iv) BM MC%. Results: We studied 58 SM patients and 3 controls. Of the former, 23 had indolent SM (ISM), 10 aggressive SM (ASM), 23 SM with associated hematological disease (SM-AHD), and 2 had mast cell leukemia (MCL). Of the SM-AHD patients, 10 (43%) had CMML, 5 (22%) myeloproliferative neoplasm-unclassified (MPN-u), 3 (13%) PV, 2 (9%) acute myeloid leukemia, and 1 each had lymphoma, myeloma and myelodysplastic syndrome. The median follow up from diagnosis was 32 months (range 0.1 to 162). Over this period, 3 patients (5%) had leukemic transformation and 30 patients (52%) died. Concordance rates between hematopathologists for CD123 positive/negative, CD123 strong/weak, focal PDC proliferation yes/no and MC% were 97%, 94%, 98% and 100%, respectively. MC CD123 expression was absent in control cases but demonstrable in 37 (64%) SM patients; expression rates were 100%, 61%, 57%, and 0% in ASM, ISM, SM-AHD and MCL, respectively (p=0.02). Similar to MCL, both cases with SM-AML showed absent MC CD123 expression. Strong MC CD123 expression (comparable to background interstitial PDC) was observed in 23 patients (62%), including 85% with SM-AHD, 60% with ASM, and 43% with ISM (p=0.08). Focal PDC proliferation around MC aggregates, regardless of CD123 expression status, was noted in 44 patients (76%), including 90% with ASM, 87% with ISM, 65% with SM-AHD and 0% with MCL (p=0.02). Focal PDC proliferation was significantly higher in CD123-positive versus -negative patients (87% versus 50%, p=0.005). OS was predicted by SM subtype; the median OS for ISM, ASM, SM-AHD and MCL patients was not reached, 30 months, 25 months and 3 months, respectively (p=0.005). CD123 expression status did not have prognostic value for OS overall, however, in SM-AHD patients, CD123 expression was associated with significantly inferior survival (p=0.04), independent of the associated disease (ie, CMML vs AML vs MPN vs other). Survival outcome of SM-CMML patients expressing MC CD123 (n=3, median OS=11 months) was significantly inferior as compared to patients who did not (n=7, median OS=44 months), independent of age and absolute monocyte count (p=0.01). CD123 staining intensity had borderline significance for OS in the overall cohort (p=0.08). When restricted to non-indolent SM cases, strong CD123 expression was associated with significantly worse overall survival (15 versus 88 months, p=0.04). Conclusions: In this cohort, aberrant MC CD123 expression was observed in the majority of SM patients with highest prevalence in ASM patients and uniformly absent expression in leukemic phase SM (MCL or SM-AML). Focal PDC proliferation around MC aggregates was significantly higher in CD123-positive cases, indicating a potential functional interaction. CD123 expression identified SM-AHD patients with inferior OS, especially those with SM-CMML. Strong CD123 staining intensity may be associated with inferior OS in non-indolent SM patients. CD123 expression on MC and PDC constitutes a novel therapeutic target in non-leukemic SM. Disclosures Pardanani: Stemline: Research Funding. Brooks:Stemline Therapeutics, Inc.: Employment, Equity Ownership, Patents & Royalties.

Abstract Background: Current drugs in myelofibrosis (MF), including JAK inhibitors, do not induce complete or partial remissions. Imetelstat is a 13-mer lipid-conjugated oligonucleotide that targets the RNA template of human telomerase reverse transcriptase. A phase-2 study in essential thrombocythemia showed platelet-lowering activity of imetelstat accompanied by reduction in JAK2V617F allele burden, thus providing the main rationale for conducting the current study. Methods: The current study (NCT01731951) is investigator-driven and IRB approved. Drug and research funding were provided by Geron Corporation (Menlo Park, CA, USA). The objective was to obtain preliminary information on therapeutic activity and safety of imetelstat in DIPSS-plus high or intermediate-2 risk MF. Adverse events (AEs) were monitored by Common Terminology Criteria for Adverse Events (Version 4.03) and responses by the International Working Group criteria (Blood2013). Laboratory correlative studies included measurement of plasma cytokines and analysis of mutations. Results : 33 patients were accrued and met eligibility criteria (median age 67 years; 67% males); type of MF was primary 55% and post-PV/ET 45%; risk distribution was high 48% and intermediate-2 52%. Karyotype was abnormal in 16 (48.5%) patients. 79% of patients had received prior therapy including JAK inhibitors in 33%. Protocol treatment : Imetelstat was administered by a 2-hour intravenous infusion (9.4 mg/kg) every three weeks (cohort A; n=19) or weekly x 3 followed by every three weeks (cohort B; n=16). As of 7/24/2014, 11 (33.3%) patients remain on active treatment (median number of cycles completed for all patients = 7; range 1-21). Three patients have died post-registration: intracranial hemorrhage (related), upper gastrointestinal hemorrhage (unrelated) and disease progression. Median follow-up for living patients was 11.0 months (range, 3.6 – 18.4). 22 (66%) patients have discontinued treatment, mainly because of suboptimal response (n=15) or disease progression (n=3). Toxicity : Treatment-related grade 4 neutropenia was seen in 6 (18%) patients and grade 4 thrombocytopenia in 7 (21%). Grade 3 anemia was seen in 9 (27%) patients. Two patients experienced grade 4+ non-hematologic AE: grade 5 intracranial hemorrhage (related), grade 5 upper gastrointestinal hemorrhage (not related); other grade 3+ non-hematologic AEs were seen in only one patient. Regardless of attribution, treatment-emergent grade 1 or 2 liver function test abnormalities affected bilirubin 46%, ALP 52%, AST 55% and ALT 24%. There were 3 instances of grade 3 ALP and one of bilirubin elevations. Efficacy : There were 7 (21.2%) complete (CR; n=4) or partial (PR; n=3) remissions, occurring at a median of 5 cycles of treatment (range 1-9). All 4 CR patients experienced reversal of BM fibrosis and 3 of them a complete molecular response. Six of the 7 CR/PR patients remain in remission (median 9.9 months, range 4.8-14.7). Other responses included anemia response in 4 (31%) of 13 transfusion-dependent patients, >50% reduction in palpable spleen size in 9 (39%) of 23 evaluable patients, ≥50% reduction in leukocyte count in 8 (80%) of 10 patients with marked leukocytosis (WBC >25 x 10(9)/L), resolution of leukoerythroblastosis in the majority of patients, and normalization of platelet count in 9 (75%) of 12 patients with thrombocytosis. Laboratory correlative studies : Mutational frequencies were 79% for JAK2, 18% for CALR, 3% for MPL, 33% for ASXL1, 9% for IDH1/2 and 33% for spliceosome component mutations. CR/PR rates were 27% in JAK2-mutated vs 0% unmutated (p=0.3) and 32% in ASXL1-unmutated vs 0% mutated (p=0.07). CR rate was 38% in SF3B1/U2AF1-mutated vs 4% unmutated (p=0.036). Grade 3+ neutropenia or thrombocytopenia was more likely to occur in JAK2-unmutated (p=0.02) and ASXL1-mutated cases (p=0.049). Multi-cytokine panel screening showed significant differences between baseline and post-treatment samples involving several cytokines, including IL-1b, IL-5, IL-7, IL-17, VEGF, IL-8 and TNF-α (p<0.001 for all). CR/PR did not correlate with baseline cytokine levels. Conclusions : The current study identifies imetelstat as an active drug in patients with MF, but also reveals its potential to cause significant myelosuppression. The association between CR/PR and specific mutations suggests potential targeted activity that might be exploited for patient and disease selection. Disclosures No relevant conflicts of interest to declare.