Citations

Abstract Background: Midostaurin (M) is a multi-targeted small molecule FLT3 inhibitor which has single agent activity in both internal tandem duplication (ITD) and tyrosine kinase domain (TKD) mutant FLT3 AML. The objective of this global rand phase III trial was to determine if the addition of M to ind and consol therapy followed by one year of maint would improve overall survival (OS) compared to standard chemotherapy in younger adults with activating FLT3 muts. Methods: Between May 2008 and October 2011, 3279 previously untreated AML pts age 18-60 (exclusive of acute promyelocytic leukemia) in 225 sites/17 countries were screened for FLT3 muts at one of 7 academic labs (subject to extensive assay cross-validation). Hydroxyurea was allowed for up to 5 d prior to beginning ind therapy while awaiting results of mut testing. Pts were rand for the duration of therapy to M or P stratified by FLT3 mut subtype (TKD v ITD high allelic mut fraction (>0.7) vs low mut fraction (0.05-0.7). Ind therapy consisted of D 60 mg/m2 IV d1-3 and C 200 mg/m2 d1-7 CIV plus M or P (50 mg po bid, d 8-22). Re-treatment with a second blinded course was allowed if residual AML was noted on a d 21 marrow exam. Pts achieving complete remission (CR) received 4 cycles of C 3g/m2 over 3h q 12h on days 1, 3, and 5 plus M or P (50 mg po bid, d 8-22) followed by a year of maint therapy with M or P (50 mg po bid). Transplantation (SCT) was allowed. With a sample size of 717 pts, the trial was powered to detect an improvement from 16.3 (P) to 20.9 (M) months in median OS (HR = 0.78) using a one-sided alpha of 0.025 and power of 84%. The final analysis was to occur after 509 deaths, but given the slow rate of events (359 deaths by April 2015), the trial was amended to change the timing of the OS analysis, and promote event free survival (EFS, defined as the earliest of death, relapse, or no CR within 61 d of the start of ind) as a key secondary endpoint. The critical value for this primary analysis is set at 0.02286 (1-sided) accounting for the alpha spent at the interim analysis (0.5%). Support: U10CA180821, U10CA180882, CA31946, Novartis Results: 717 pts (341 FLT3 ITD-Low, 214 FLT3 ITD-High; 162 FLT3 TKD) were rand to either M (n=360) or P (n=357). There were no significant differences between the arms in age (median, 48y), race, FLT3 subtype, or baseline CBC except for gender (M, 48.2% male; P, 40.6% male; p=.04). All pts are off active treatment, with a median follow-up of 57 months for surviving pts. No statistically significant differences were observed in the overall rate of grade 3 or higher hematologic or non-hematologic adverse events (AEs) between M and P (regardless of attribution). A total of 37 grade 5 AEs were reported (M, 5.3%; P, 5.0%; p=1.0). No differences in treatment-related grade 5 AEs were observed (M, 3.1%; P, 2.5%; p=0.82). CR rate is 59% (M) and 54% (P) (p=0.18). The HRs comparing M to P for OS is 0.77 (one-sided p = 0.007; Figure 1), and for EFS is 0.80 (one-sided p = 0.004; Figure 2). 402/717 (57%) pts received an allogeneic SCT (M, 58%; P, 54%) at any time; 177/717 (25%) in CR1 (M, 27%; P, 22%). Median time to allogeneic SCT was similar on each arm (M, 5.0 months; P, 4.6; p=0.23). Secondary analyses for OS and EFS censoring at the time of SCT provided similar results (Table). The benefit of M was consistent across all FLT3 subgroups for both EFS and OS (Figure 3). Conclusions: The C10603 trial demonstrated that a prospective trial in a pre-therapy genetically defined subgroup of AML pts was feasible and that the addition of the multi-kinase inhibitor M to standard chemotherapy and for one year of maint therapy significantly improved EFS and OS (in both uncensored and censored for transplant analyses) in pts whose blasts had a TKD or ITD (low or high FLT3 mut burden). These findings may lead to improved outcomes through the use of M as a component of therapy in younger adults with mutant FLT3 AML. Table.ArmMedian, mos (95% CI)p-value 15-year Event rate% (95% CI)HR2(95% CI)OSM74.7 (31.5, * )0.00750.8 (45.4-55.9)0.77 (0.63, 0.95)P26.0 (18.5, 46.5)43.1 (37.6-48.4)OS, SCT censoredM* (*,*)0.04762.6 (54.6-69.7)0.77 (0.56,1.05)P* (36.9, *)54.9 (46.2-62.8)EFSM8.0 (5.3, 10.6)0.004426.7 (22.2-31.5)0.80 (0.67, 0.95)P3.0 (1.9, 5.8)19.1 (15.1-23.6)EFS, SCT censoredM8.2 (5.5, 10.7)0.02524.2 (18.9-29.8)0.84 (0.70, 1.0020)P3.0 (1.9, 5.8)21.8 (16.8-27.3)1Stratified on FLT3 subtype; one-sided, log-rank p-value.2Cox model stratified on FLT3 subtype.*= not attained Figure 1. Figure 1. Figure 2. Figure 2. Figure 3. Figure 3. Disclosures Stone: Celgene: Consultancy; Sunesis: Consultancy, Other: DSMB for clinical trial; Novartis: Research Funding; Amgen: Consultancy; Agios: Consultancy; Roche/Genetech: Consultancy; Merck: Consultancy; Pfizer: Consultancy; AROG: Consultancy; Celator: Consultancy; Juno: Consultancy; Abbvie: Consultancy; Karyopharm: Consultancy. Off Label Use: midostaurin- FLT 3 inhibitor. Thiede:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AgenDix GmBH: Equity Ownership. Niederwieser:Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Medeiros:Celgene: Honoraria, Research Funding; Agios Pharmaceuticals: Honoraria. Schlenk:Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Research Funding; Arog: Honoraria, Research Funding; Teva: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Research Funding. Larson:Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy; Ariad: Consultancy, Research Funding; Pfizer: Consultancy.

Abstract Abstract 2926 Background: RAS proteins are encoded by 3 proto-oncogenes (K-RAS, N-RAS, and H-RAS) and regulate the growth and differentiation of many cellular types, including the myeloid compartment. Codons 12, 13, and 61 (in N-RAS and K-RAS) have been reported to be common targets of mutations. These mutations result in constitutive activation of the RAS pathway by increasing intracellular RAS GTP levels, which result in activation of the RAS/MEK and the RAS/PI3K pathways. Its prognostic significance in MDS is yet to be clarified. Because the potential prognostic and therapeutic implications of RAS mutations in MDS, we decided to study the impact of RAS mutations in patients (pts) with MDS. Methods: Mutation analysis of KRAS and NRAS codons 12, 13, and 61 was performed by Pyrosequencing using biotinylated reverse primers. All pts referred to MD Anderson between 2000–2009 were reviewed. In addition to standard clinical characteristics, including karyotyping, mutational status of Flt3, c-Kit and JAK2 was also analyzed. Overall survival was calculated based on Kaplan-Meier. Results: Of the 1067 pts with MDS of age above 17 evaluated for RAS mutation, 43 pts (4%) were positive. Seventy nine percent of RAS mutations were of N-RAS type (codon12 (55%), codon 13 (12%), codon 61(12%)) with K-RAS 12 comprising the rest (21%). Median age was 68 years (range, 18–94) with 66% being males (703 pts). Their median white blood cell (WBC) was 3.3×109/L (range, 0.3–72.2), hemoglobin 9.8 (range, 3–17.5), and platelets 73×109/liter (range, 1–1040). Median bone marrow blast was 5% and 77 pts (7%) had leukemic transformation. More than half of the pts had RAEB or RAEB-t (44% and 9 % respectively) which translated into fewer patients in the low IPSS category (19%). The median age was 66 years (range 26–84) in the RAS mutated (muRAS) group compared to 68 in the wild type (wtRAS). WBC was higher in the muRAS group compared to wtRAS (6.8 ×109/L vs. 3.2 ×109/L, p<0.001 by Mann-Whitney median test (M-W-T)). Percent of bone marrow blasts was higher (9%) in muRAS group compared to 5% in wtRAS (p<0.001 by M-W-T). High (Int-2 and high) risk by IPSS was more frequent in muRAS 51% compared to 40% in wtRAS group (p=0.11). Leukemic transformation was 9% and 7% (p=0.61) in both muRAS and wtRAS groups respectively. RAS mutation was detected more frequently in the CMML subgroup (12/80 (15%) pts). There were no differences in terms of response to DNA methylating inhibitors (CR in 41% in muRAS versus 40% in wtRAS). ARA-C-based regimens resulted in better CR in wtRAS than muRAS (59% vs 25%); however, the size of muRAS group was too small (1 out 4 pts).There was a trend towards shorter overall survival (OS) in the muRAS group compared to wtRAS (395 vs. 500 days, p value=0.057). MuRAS RAEB (325 vs. 450 days, p= 0.13) and RAEB-t (125 vs. 375 days, p= 0.27) subgroups showed a trend towards worse OS compared to wtRAS group. There was a significant OS decrease in RCMD (150 vs. 700 day, p= 0.015). Surprisingly, muRAS CMML group showed a trend towards better OS compared to wtRAS (728 vs. 687 days, p=0.44). Additionally we analyzed patients for presence of Flt3 mutation. These were present in only 18 of the pts (4%) but none of them had also a RAS mutation. There was no c-Kit mutations found in this cohort of pts, compared to 9/37 (24%) pts tested positive for JAK2V617F. Conclusion: MuRAS occurs in 4% of pts with MDS. In the muRAS group, pts tended to have higher risk disease and risk of transformation to acute leukemia compared with wtRAS. OS tended to be worse in some subgroups in muRAS. Although the prognostic impact of RAS mutations in MDS appears to be limited, mutations could be used to develop targeted therapeutic interventions. Disclosures: No relevant conflicts of interest to declare.

Abstract Background SGI-110 is a second generation HMA formulated as a dinucleotide of decitabine (DAC) and deoxyguanosine. The compound is delivered as a small volume, pharmaceutically stable subcutaneous (SQ) injection which allows longer half-life and more extended DAC exposure than DAC intravenous infusion. This pharmacokinetic profile offers the potential for improved biological and clinical activity and safety over currently available HMAs (Kantarjian et al. ASH, 2012). Methods A randomized Phase 1-2 first-in-human PK/PD-guided, dose-escalation study was conducted in patients with relapsed or refractory intermediate or high-risk MDS or AML. Patients were initially randomized to one of two SQ regimens - Dailyx5 or Weeklyx3, for 28-day courses. Subsequently, a Twice Weeklyx3 regimen (Monday, Thursday) was added for evaluation based on emerging LINE-1 demethylation data from the Weeklyx3 regimen. Results 93 patients (74 AML, 19 MDS) were treated in the dose escalation phase: 44, 34, and 15 patients were treated in the Dailyx5, Weeklyx3, and the Twice Weeklyx3 regimens, respectively. Across the three regimens, median age was 70 years (range, 29–86), 68% male, and 87% had ECOG PS of 0-1. The median number of prior regimens was 3 (range, 1–9) and 68% of patients had prior HMA treatment (59% AML, and 100% MDS). Of the 74 AML patients treated, 31 (42%) had secondary AML including antecedent MDS. Patients received a median of 2 courses of SGI-110 (range, 1-20). LINE-1 demethylation data at the 2 highest dose levels which were well tolerated and evaluated for all 3 regimens (60 and 90 mg/m2) are shown in the figure below. The Dailyx5 regimen demonstrated the most potent average LINE-1 demethylation, while the Twice Weeklyx3 achieved the most prolonged LINE-1 demethylation. The least potent demethylation was seen with the Weeklyx3 regimen. There was no additional demethylation at the 90 mg/m2 dose compared to 60 mg/m2in all 3 regimens. Responses were reported according to the IWG Criteria 2006 (MDS)/2003 (AML). Complete remissions were observed in 5 AML patients (2CRs, 1CRp, and 2CRi). Clinical responses (2 mCR and 3 HI-E, 1 HI-N, 1 HI-P) were observed in 6 MDS patients, all of whom had been previously treated with HMA. All AML responses and both mCR in MDS patients achieved ≥10% LINE-1 demethylation. Safety is reported based on Adverse Events (AEs) as graded by the CTCAE v4 criteria. Across regimens, the Twice Weeklyx3 demonstrated an increased number of related AEs compared to the other regimens. The most commonly reported related AEs ≥ 10% in the Dailyx5 regimen (injection site pain, thrombocytopenia, neutropenia, anemia, fatigue), Weeklyx3 regimen (injection site pain and diarrhea), and Twice Weeklyx3 regimen (injection site pain, injection site reaction, fatigue, dizziness, febrile neutropenia, neutropenia, anemia, and thrombocytopenia). Conclusions SQ SGI-110 is a potent HMA using all 3 regimens evaluated. The most potent hypomethylation was achieved with Dailyx5 dosing and the most prolonged hypomethylation was achieved using the Twice Weeklyx3 regimen. All 3 regimens were well tolerated. Clinical responses were observed in heavily pretreated patients, including those with prior HMA exposure. These results support the ongoing Phase 2 expansion study investigating the Dailyx5 dosing schedule in patients with MDS and AML who are either HMA treatment naïve or previously treated with HMAs. Disclosures: Roboz: Astex Pharmaceuticals, Inc.: Honoraria, Research Funding. Issa:Astex Pharmaceuticals Inc.: Honoraria, Research Funding. Rizzieri:Astex Pharmaceuticals, Inc.: Research Funding. Stock:Astex Pharmaceuticals, Inc.: Research Funding. O'Connell:Astex Pharmaceuticals, Inc.: Research Funding. Yee:Astex Pharmaceuticals, Inc.: Research Funding. Tibes:Astex Pharmaceuticals, Inc.: Research Funding. Griffiths:Astex Pharmaceuticals, Inc.: Research Funding. Walsh:Astex Pharmaceuticals, Inc.: Research Funding. Feldman:Astex Pharmaceuticals, Inc.: Research Funding. Ritchie:Astex Pharmaceuticals, Inc.: Research Funding. Rao:Astex Pharmaceuticals, Inc.: Research Funding. Larson:Astex Pharmaceuticals, Inc.: Research Funding. Garcia-Manero:Astex Pharmaceuticals, Inc.: Research Funding. Ravandi:Astex Pharmaceuticals, Inc.: Research Funding. Jabbour:Astex Pharmaceuticals, Inc.: Research Funding. Cortes:Astex Pharmaceuticals, Inc.: Research Funding. Schimmer:Astex Pharmaceuticals, Inc.: Research Funding. Mesa:Astex Pharmaceuticals, Inc.: Research Funding. Blum:Astex Pharmaceuticals, Inc.: Research Funding. Chung:Astex Pharmaceuticals Inc.: Research Funding. Naim:Astex Pharmaceuticals, Inc.: Employment. Taverna:Astex Pharmaceuticals Inc.: Employment. Hao:Astex Pharmaceuticals Inc.: Employment. Choy:Astex Pharmaceuticals, Inc.: Employment. Azab:Astex Pharmaceuticals Inc.: Employment. Kantarjian:Astex Pharmaceuticals, Inc.: Research Funding.

Abstract Background: The advent of high-dose therapy and autologous stem cell transplantation (HDT-ASCT) has significantly improved response rates and survival for patients with multiple myeloma (MM). However this form of therapy is potentially toxic and does not cure patients from their disease. The response to HDT-ASCT is variable and approximately 40% of patients achieve a complete response (CR). Patients with a CR have a significantly improved time to progression (TTP) compared to patients who do not achieve CR (nCR). Optimal timing of HDT-ASCT and considerations of the relapse kinetics may assist treatment planning for this disease. We analyzed myeloma tumor burden and kinetics before and after HDT-ASCT in order to define optimal timing of this therapy for the individual patient. Patients and Methods: A cohort of 265 patients with MM who underwent HDT-ASCT at Mayo Clinic Rochester was studied. Disease burden before and after HDT-ASCT was estimated from serial M-spike measurements. The estimated tumor burden data were fitted to the Gompertz function and its parameters alpha and beta estimated using a non-linear least squares method. Cohorts of patients with CR and nCR were studied separately. Functions that coupled disease burden and kinetics with TTP were derived and used to determine the optimal timing of single and tandem transplantation. Results: The Gompertz parameters alpha and beta for patients who achieved CR and for those who did not achieve CR with HDT were determined. Our values were lower than those of Sullivan and Salmon although the ratio of alpha/beta was of a similar order (implying the same carrying capacity). Using the idealized Gompertz parameters, simulations of single versus tandem transplants were performed. Our model predicts that tandem transplantation increases CR rate by approximately 10%. When the time between transplants was studied as a variable, our model suggests that the optimal time between transplants is 7 months. Conclusions: Our modeling provides a theoretical understanding of tumor burden and kinetics for patients with MM who undergo HDT-ASCT. Patients who achieve CR with the first episode of HDT-ASCT should not be routinely offered tandem transplantation but carefully monitored and re-transplanted at an optimal disease burden. If CR is not achieved with a first cycle of HDT-ASCT, the probability of CR after a second trial of HDT is ~10% (similar to that reported by Attal et al 2003) although this depends on the tumor burden before the second transplant. TTP after tandem transplants (with its higher associated mortality) cannot be superior to TTP achieved with optimally timed serial transplants. Individualized HDT-ASCT for patients with MM is possible and may improve results.

Abstract Background: High dose therapy with autologous stem cell transplantation (HDT-ASCT) has prolonged survival in patients with multiple myeloma. Patients who achieve a complete response (CR) benefit the most from this form of therapy. Thus, achieving a CR is an important goal of therapy and it will be beneficial if the probability of achieving CR can be determined for any patient before transplant. Patients and Methods: A large cohort of patients with myeloma who received HDT-ASCT at Mayo Clinic Rochester was studied. The impact of various demographic, clinical and laboratory characteristics relating to the patients and their disease acquired were studied for their impact on response to HDT-ASCT, especially CR. Patients with a serum M-protein <0.1g/dL were excluded. Response definitions were as defined by established criteria. Survival analysis was performed according to the Kaplan-Meier method while univariate and multivariate analyses were performed with the proportional hazards method. We utilized knowledge of the rate of M-protein production by myeloma cells together with the clearance of the protein to estimate the pre-transplant disease burden. Results: We studied 224 patients with a median age of 56.5 years (32.6 – 71). Patients were transplanted a median of 8.7 months after diagnosis. Almost all patients had a response to HDT-ASCT and 78 (35%) achieved a CR. Those patients who achieved a CR had a longer time to progression (TTP) compared to those who did not achieve CR (Figure 1). The cohort was thus divided into two groups: patients who achieved CR and those that did not. The clinical and laboratory characteristics of the two groups were compared. Among the pre-transplant parameters tested, only the size of the serum M-spike was a predictor for CR (p<0.0001). A simple function that describes the probability of achieving CR based on the serum M-spike before HDT-ASCT is described. The estimated rate of tumor re-growth after HDT-ASCT in patients who obtain a CR and in patients who only get a partial response are presented. Conclusions: The pre-transplant disease burden in myeloma is the main determinant of response to HDT-ASCT. The individual probability of achieving CR can be estimated from simple clinical parameters providing a quantitative risk assessment prior to such a high-risk procedure. There is significant expansion of myeloma cells after HDT-ASCT. The design of clinical trials may benefit from knowledge of the kinetic aspects of the disease. Figure Figure

Abstract Background: The Treatment Burden Questionnaire (TBQ) is a self-reported measure of the effect of treatment workload on patient wellbeing. We sought to validate the TBQ in Spanish and use it to estimate the burden of treatment in Argentinian patients with multiple sclerosis (MS). Methods: The TBQ was forward-backward translated into Spanish. Two focus groups and 25 semi-structured interviews focused on wording and possible item exclusion. Validation was performed in 2 steps. First, 162 patients across a range of MS severity completed the questionnaire. Confirmatory factor analysis assessed the dimensional structure of the TBQ. Construct validity was assessed by studying correlations with fatigue and quality of life (QoL). Then, in a second cohort of 171 patients, we evaluated the association between TBQ scores and patients’ sex, age, education level, employment status, type of MS, disease duration, comorbidities, EDSS, pharmacological treatment and medication adherence. Results: The questionnaire presented a 3-factor structure in which burden was related to pharmacological treatment; comprehensive health assistance; and psycho-social-economic context. Composite reliability was > 0.8 for all factors. TBQ showed positive correlation with fatigue (rs= 0.467, p=0.006), negative correlation with QoL (rs -0.446, p=0.009). For the second cohort, total TBQ score was 43 (SD 29). Lowest scores were observed on self-monitoring (0.53, SD 1.3) and highest for administrative load (4.2, SD 3.4). Inverse association was found between the TBQ score and medication adherence (r 0.243 p=0.001). TBQ scores also correlated with daily patient pill/injection requirements (r 0.175 p=0.020). Individuals receiving injectable treatment scored higher than patients on oral drugs (total TBQ 51 (SD 32) vs 39 (SD 27) p=0.002). Conclusions: The TBQ in Spanish is a reliable instrument and showed adequate correlation with QoL and adherence scales in MS patients. TBQ may benefit health resources allocation and provide tailor therapeutic interventions to construct a minimally disruptive care.

Abstract Background Systemic mastocytosis (SM) is characterized by abnormal proliferation and accumulation of neoplastic mast cells. Patients (pts) with SM are treated with recombinant interferon-alpha or cladribine. Responses to these agents are poor. Malignant mast cells in SM carry, in most cases, a mutation involving codon 816 of the c-KIT gene (D816V) resulting in constitutively activated c-kit receptor tyrosine kinase believed to be important for disease progression. Agents that antagonize this mutated form of c-kit may have clinical benefit in SM. Dasatinib is one such agent, proven effective in pre-clinical in vitro and in vivo models of SM. Study Design In pilot Phase II trial for SM, Dasatinib was administered at 70mg PO BID. Response was assessed after minimum of 3 months (3 cycles) of therapy. Therapy was discontinued in pts who showed no response after 6 cycles of therapy. Response was evaluated following guidelines proposed by Valent et al. (Leuk Res. 25;603–625, 2001). In addition, all symptoms related to SM were recorded and monitored. Results Thus far, a total of 30 pts have been treated; 24 are evaluable for response and toxicity, including 6 with aggressive SM (ASM), 4 with SM and associated hematologic non-mast cell disease (SM-AHNMD; 2 with chronic myelomonocytic leukemia and one each with myelofibrosis [SM-MF; JAK2 mutation positive and abnormal cytogenetics] and hypereosinophilic syndrome [SM-HES; FIP1L1-PDGFRa negative]) and 14 with indolent SM (ISM) with uncontrolled symptoms despite optimal supportive care measures. Median age is 57 years (range, 35–73); these were 10 males and 14 females; time from diagnosis to dasatinib therapy 49 months (range, 0–233), performance status 1 in 23 and 2 in 1 pt. Eleven patients were previously treated: imatinib mesylate in 6; denileukin diftitox in 4; and erythropoietin, interferon-alpha, or cladribine in 2 each. One pt, who had undergone splenectomy, had hepatomegaly prior to start of therapy. Median Hb 12.4g/dL (range, 8.5–15.4), WBC 6.7×109/L, (range, 3.5–53.3), and platelets 263×109/L (range, 60–377); no patient was transfusion dependent. Percent bone marrow mast cell varied from <10% in 9 pts, to 60% in 4 pts; blood tryptase level was ≤20ng/mL (not significant) in 7 pts and >200ng/mL (upper limit of the test) in 7 pts. A total of 94 cycles of therapy were administered. The median number of cycles was 4 (range, 1–8). Ten patients stopped therapy: 1 due to progression of AHNMD to acute leukemia, 1 lost a response (symptomatic improvement), 2 had no response after 3 months of therapy, and 6 due to toxicity. No grade 4 toxicity was observed. Twelve patients decreased the dose of dasatinib to 50mg PO BID, of which four to 40mg PO BID. Two patients (8%) achieved complete remission, one with SM-MF, and one with SM-HES. Both were c-KIT mutation negative and had low, not significant tryptase levels. Both were anemic (Hb 9.4g/dL) and failed erythropoietin therapy, and had abnormal WBC differential; one had low platelets (90×109/L). No significant response in % bone marrow mast cells (4 pts are too early in therapy) or blood tryptase levels have been observed in other patients so far. Symptoms related to SM improved significantly in 7 patients (29%). Conclusion Dasatinib is active in SM (overall response rate 37%). Updated clinical and molecular results will be presented.

Abstract Introduction: IgM-secreting myeloma is rare, encompassing about 1% of all the myeloma cases. Given its rarity, the characteristics and survival of these patients have not been extensively studied. Therefore, we carried out a multicenter retrospective study in patients with IgM myeloma. Methods: The study protocol was reviewed and approved by the Institutional Review Board of each participating institution. Clinical data were gathered and included age, sex, hemoglobin, calcium, LDH, estimated glomerular filtration rate (GFR), presence of lytic bone lesions, International Staging System score, cytogenetic abnormalities, final outcome and overall survival (OS) time. OS was defined as the time in months from diagnosis to last follow-up or death. The Chi-square and the rank-sum tests were used to compare categorical and continuous variables, respectively. The Kaplan-Meier method was used to estimate OS and the log-rank waas used to compare groups. The Cox proportional-hazard regression method was used to fit univariate and multivariate survival models, reported as hazard ratio (HR) with 95% confidence intervals (CI). All reported p-values are two-sided, and were considered significant if less than 0.05. Results: A total of 159 patients with IgM myeloma from 20 centers from Europe, USA and Latin America were included in this analysis. Patients were diagnosed between 1996 and 2015. The median age at diagnosis was 65 years (range 37-86 years) with a male predominance (68%). The median serum IgM level was 2510 mg/dl (range 27-12,100 mg/dl) with 25% of patients having a serum IgM within normal limits but an IgM monoclonal spike detectable in serum electrophoresis. Hemoglobin levels <10 g/dl were seen in 49 patients (32%), serum calcium was elevated in 24 (16%), estimated GFR of 60 ml/min or less in 56 (37%), lytic lesions were detected in 86 (58%), and serum LDH was elevated in 28 (24%). ISS scores of 1, 2 and 3 were seen in 53 (36%), 63 (43%) and 31 (21%) of patients, respectively. Although immunohistochemistry and/or flow cytometry data were limited, CD20 expression was seen in 15/26 (58%) and cyclin D1 in 10/15 (67%) patients. The most common cytogenetic abnormalities were t(11;14) in 26/67 (39%), del13q in 25/76 (33%) and del17p in 6/76 (8%) patients. 149 patients (94%) received at least one line of systemic therapy for myeloma of which 13 (9%) received rituximab as part of initial therapy. After a median follow-up of 47 months, 74 patients (47%) have died. The median OS was 62 months (95% CI 51-79 months). Cause of death was known in 38 patients, and the most common was myeloma progression (74%). IN the univariate analysis, prognostic factors associated with a worse OS were age (HR 1.03, 95% CI 1.01-1.06; p=0.01) and ISS score (ISS 2: HR 1.43, 95% CI 0.83-2.48; p=0.2, and ISS 3: HR 3.03, 95% CI 1.54-5.98; p=0.001, using ISS 1 as reference group), while male sex was associated with a better OS (HR 0.56, 95% CI 0.34-0.90; p=0.02). Hemoglobin, calcium, estimated GFR and lytic lesions were not associated with OS. In the multivariate analysis, male sex was associated with a better OS (HR 0.57, 95% CI 0.35-0.95; p=0.03) and ISS with worse OS (ISS 2: HR 1.57, 95% CI 0.89-2.74; p=0.12, and ISS 3: HR 2.76, 95% CI 1.38-5.55; p=0.004, using ISS 1 as reference group). Conclusion: Patients with IgM myeloma apparently present with similar clinical characteristics as patients with non-IgM myeloma. Pathologically, CD20 and cyclin D1 expression is common. The most common cytogenetic abnormalities identified were t(11;14) and del13q. Survival does not appear shorter than non-IgM myeloma patients, and the ISS appears to have similar prognostic value. Disclosures Castillo: Millennium: Research Funding; Janssen: Honoraria; Otsuka: Consultancy; Biogen: Consultancy; Abbvie: Research Funding; Pharmacyclics: Honoraria. Ghobrial:Celgene: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Novartis: Honoraria; Takeda: Honoraria; Noxxon: Honoraria; Amgen: Honoraria. Hájek:Celgene: Consultancy, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Janssen: Honoraria; BMS: Honoraria; Takeda: Consultancy. Hungria:International Myeloma Foundation Latin America: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy; Amgen: Consultancy; Roche: Consultancy; Bristol: Consultancy; Janssen: Consultancy, Speakers Bureau. Niesvizky:Celgene: Consultancy, Research Funding, Speakers Bureau; Takeda: Consultancy, Research Funding, Speakers Bureau; Onyx: Consultancy, Research Funding, Speakers Bureau. Reagan:Alexion: Honoraria; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees. Richardson:Celgene: Membership on an entity's Board of Directors or advisory committees. Spicka:Janssen Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Millenium: Honoraria. Gertz:Celgene: Honoraria; Med Learning Group: Honoraria, Speakers Bureau; Research to Practice: Honoraria, Speakers Bureau; Alnylam Pharmaceuticals: Research Funding; Novartis: Research Funding; Prothena Therapeutics: Research Funding; Ionis: Research Funding; NCI Frederick: Honoraria; Sandoz Inc: Honoraria; GSK: Honoraria; Annexon Biosciences: Research Funding.

Abstract INTRODUCTION: Several new agents and regimens are available for the treatment of relapsed refractory multiple myeloma (RRMM). Comparison of all these is not feasible, yet therapeutic selections need to be made for optimal patient care. Both the MM-002 (Richardson et al., 2014) and MM-003 (San Miguel et al., 2013) trials have demonstrated the clinical benefits of pomalidomide plus low-dose dexamethasone (POM+LoDEX) in improving survival outcomes for patients with RRMM who had received ≥2 prior lines of therapy. Daratumumab (DARA) monotherapy was approved in the US for the treatment of RRMM patients, based on the results of a single-arm trial (SIRIUS) (Lonial et al., 2016). To date, there are no head-to-head studies comparing POM+LoDEX with DARA. We performed an indirect comparison of the overall response rate (ORR), progression-free survival (PFS), and overall survival (OS) between POM+LoDEX and DARA in RRMM patients with ≥2 (median of 5) prior lines of therapy. METHODS: Matching-adjusted indirect comparison (MAIC) (Ishak et al., 2015; Signorovitch et al., 2012) is a method used to conduct indirect comparisons between relative efficacies of treatments after adjusting for imbalances across trials where the study populations were roughly similar. To perform a MAIC, it is necessary that the selected studies are compatible. Both MM-002 and SIRIUS were phase II trials and included mainly patients from North America, while other geographic regions were more widely represented in the phase III MM-003 trial. Thus, the MAIC was conducted using individual patient data from the intention-to-treat (ITT) population of POM+LoDEX from MM-002 and published aggregate data on patient characteristics and outcomes for the ITT population of DARA from SIRIUS. A propensity-score logistic regression equation was used to re-weight the POM+LoDEX patients such that their aggregate characteristics matched exactly those in SIRIUS for all prognostic factors (i.e., full set) which were available in both studies. These factors included age, gender, race, disease duration, immunoglobulin heavy chain type, Eastern Cooperative Oncology Group (ECOG) performance status, plasmacytoma, creatinine clearance, number of prior therapy lines, prior stem cell transplantation, and refractoriness to bortezomib, lenalidomide, or both. The relative treatment effects were estimated with a weighted logistic regression model for ORR and weighted Cox regression models for PFS and OS. Sensitivity analyses were also conducted by matching on only important prognostic factors (i.e., reduced set), identified from multivariate regression analyses for each endpoint. RESULTS: MM-002 and SIRIUS were generally similar in design and had sufficient overlap in baseline characteristics to allow adjustment for potential confounding. Most prognostic factors were similar between the two arms. However, patients on POM+LoDEX had worse ECOG status, while more patients on DARA had a plasmacytoma and creatinine clearance <60 mL/min and were refractory to lenalidomide, bortezomib, or both. After re-weighting, the aggregate patient characteristics for patients receiving POM+LoDEX matched those reported for DARA. The results from the analyses adjusting for all available characteristics showed no statistically significant differences in ORR, PFS, or OS between the two treatments. Similar findings were obtained by adjusting for important prognostic factors only (Table 1). OS results should be interpreted with caution as subsequent treatments cannot be adjusted for in a MAIC analysis. CONCLUSIONS: This analysis suggests that POM+LoDEX and DARA have similar clinical benefits with respect to ORR, PFS, and OS in RRMM patients with ≥2 prior lines of therapy. Treatment choice may be made between these two based on factors other than efficacy alone. MAIC analysis may be helpful in therapeutic decisions where direct comparative trials are not available, however as with any non-randomized study potential for residual confounding may still exist. Disclosures Parikh: Celgene Corporation: Employment, Equity Ownership, Research Funding. Proskorovsky:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Abouzaid:Celgene Corporation: Employment, Equity Ownership, Research Funding. Krotneva:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Page:Evidera: Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Pelligra:Evidera: Employment, Other: As a salaried Evidera employee, I am not allowed to accept any remuneration or honoraria. Evidera received funding from Celgene.. Guo:Celgene: Consultancy. Mouro:Celgene: Employment, Equity Ownership. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy.

Abstract Background: Gilteritinib (ASP2215) is a novel, highly selective, potent oral FLT3/AXL inhibitor with preclinical activity against FLT3-ITD activating and FLT3-D835 resistance mutations. The objectives of this phase 1/2 study were to assess gilteritinib safety/tolerability, pharmacokinetic (PK) and pharmacodynamic (PD) profiles after single- and multiple-day dosing, and antileukemic effects in patients with R/R AML. Methods: This open-label study (NCT02014558) enrolled patients (≥18 yr) into 1 of 7 dose-escalation cohorts (20-450 mg once daily [QD]) or concomitant dose-expansion cohorts. While confirmed FLT3 mutation was not an inclusion criterion, each expanded dose level enrolled ≥10 patients with FLT3 mutations (FLT3mut+); 120 and 200 mg dose levels were further expanded with ≥40 FLT3mut+ patients. The choice to expand these dose cohorts was based upon FLT3 inhibition in correlative assays and clinical activity seen during dose escalation. Safety and tolerability were primary endpoints; blood samples were drawn from patients in the dose-escalation cohorts to evaluate gilteritinib PK parameters and PD effects. Antileukemic response rates (eg, complete remission [CR], CR with incomplete platelet recovery [CRp], CR with incomplete hematological recovery [CRi], overall response rate [ORR]) were secondary endpoints. Results: Patients (N=252; 129M:123F, median age 62 yr [range: 21-90]) enrolled between October 2013 and August 2015 received ≥1 dose of gilteritinib. The study population was heavily pretreated: 70% (n=177) had ≥2 prior AML therapies, 29% (n=73) had a prior stem cell transplant, and 25% (n=63) had prior TKI treatment with sorafenib most commonly used. Across the study, 194 patients had a locally confirmed FLT3 mutation (ITD, n=159; D835, n=13; ITD-D835, n=16; other, n=6). For all enrolled patients, progressive disease (n=75), lack of efficacy (n=44), adverse events (n=34), and death (n=29) were the most common reasons for treatment discontinuation. Seven deaths were considered possibly/probably related to treatment: pulmonary embolism, respiratory failure, hemoptysis, intracranial bleed, ventricular fibrillation, septic shock, and neutropenia (all n=1). Maximum tolerated dose was determined to be 300 mg when 2 of 3 patients in the 450 mg cohort experienced diarrhea and/or hepatic transaminase elevation as dose-limiting toxicities. Diarrhea (16%) and fatigue (15%) were the most commonly reported treatment-related adverse events of any grade. Less than 5% of patients (11/252) had a maximum post-baseline QTcF interval >500 msec. Gilteritinib concentrations were generally dose proportional and showed both a long-elimination half-life (45-159 h) and substantial accumulation (3.2-10 fold) by day 15. An exposure-related increase in the inhibition of FLT3 phosphorylation with increasing doses of gilteritinib was also observed. Gilteritinib showed strong antileukemic activity in FLT3mut+ patients (ORR=49%); response was observed less frequently in patients with wild-type FLT3 (ORR=12%). While CR, CRi, and CRp occurred at all doses, responses were enriched among FLT3mut+ patients with gilteritinib steady-state trough concentrations ≥100 ng/mL, which correlated with potent FLT3 inhibition in PD assays and corresponded to doses ≥80 mg. The ORR in 169 FLT3mut+ patients receiving ≥80 mg was 52% (Table); median overall survival in this patient population was ~31 wk (range: 1.7-61; Figure) and median duration of response was 20 wk (range: 1.1-55). Clinical responses occurred in FLT3mut+ patients with -ITD, -D835, and both mutations (ORR: 55%, 17%, and 62%, respectively) as well as in FLT3mut+ patients with or without prior TKI treatment (ORR: 42% vs 56%, respectively). Conclusions: This PD-driven, first-in-human study shows that gilteritinib was well tolerated and generated frequent, prolonged, clinically important responses in FLT3mut+ patients with R/R AML. Antileukemic responses were enriched in FLT3mut+ patients treated at doses that consistently and potently inhibited FLT3 phosphorylation. The survival of these patients appears better than expected for this patient population when treated with standard therapy. Our data suggest that FLT3 inhibition may improve survival in patients with FLT3mut+R/R AML; as such, phase 3 testing of oral gilteritinib 120 mg QD in patients with FLT3mut+R/R AML after first-line therapy is underway (NCT02421939). Disclosures Perl: Astellas US Pharma Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees; Daichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees; Asana Biosciences: Consultancy, Membership on an entity's Board of Directors or advisory committees; Arog Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Actinium Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees. Altman:Janssen: Other: advisory board; BMS: Membership on an entity's Board of Directors or advisory committees; Spectrum: Other: advisory board; Ariad: Other: advisory board; Seattle Genetics: Other: advisory board; Syros: Other: advisory board. Cortes:ARIAD: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Teva: Research Funding. Smith:Astellas: Research Funding. Erba:Jannsen: Consultancy, Research Funding; Millennium Pharmaceuticals, Inc.: Research Funding; Agios: Research Funding; Juno: Research Funding; Incyte: Consultancy, DSMB, Speakers Bureau; Daiichi Sankyo: Consultancy; Ariad: Consultancy; Amgen: Consultancy, Research Funding; Astellas: Research Funding; Gylcomimetics: Other: DSMB; Seattle Genetics: Consultancy, Research Funding; Sunesis: Consultancy; Novartis: Consultancy, Speakers Bureau; Celator: Research Funding; Celgene: Consultancy, Speakers Bureau; Pfizer: Consultancy. Gill:Astellas: Employment. Goldberg:Bristol Myers Squibb, Novartis: Speakers Bureau; Novartis: Consultancy; COTA Inc: Employment; Pfizer: Honoraria; Neostem: Equity Ownership. Jurcic:Astellas: Research Funding. Larson:Astellas: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy. Liu:Astellas: Employment. Ritchie:Celgene: Consultancy, Other: Travel, Accomodations, Expenses, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Novartis: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; Ariad: Speakers Bureau; Pfizer: Consultancy, Research Funding; Astellas Pharma: Research Funding; Bristol-Meyers Squibb: Research Funding; NS Pharma: Research Funding. Schiller:Incyte Corporation: Research Funding. Strickland:Celator: Research Funding; Cyclacel: Research Funding; Karyopharm Therapeutica: Research Funding; GlaxoSmithKline: Research Funding; Baxalta: Consultancy; Boehringer Ingelheim: Consultancy, Research Funding; Ambit: Consultancy; Alexion Pharmaceuticals: Consultancy; Astellas Pharma: Research Funding; CTI Biopharma: Consultancy; Daiichi Sankyo: Consultancy; Sunesis Pharmaceuticals: Consultancy, Research Funding; Abbvie: Research Funding; Sanofi: Research Funding. Wang:Incyte: Speakers Bureau; Immunogen: Research Funding. Stuart:Sunesis: Consultancy, Honoraria, Other: Travel, Accomodations, Expenses, Research Funding; Agios: Research Funding; Incyte: Research Funding; Bayer: Research Funding; Celator: Research Funding; Astellas: Research Funding. Martinelli:Ariad: Consultancy, Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; BMS: Speakers Bureau; Roche: Consultancy, Speakers Bureau; MSD: Consultancy; Genentech: Consultancy; Novartis: Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Amgen: Consultancy, Speakers Bureau. Bahceci:Astellas: Employment. Levis:Millennium: Consultancy, Research Funding; Astellas: Consultancy, Honoraria, Research Funding; Daiichi-Sankyo: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding.