Abstract: Activating mutations in the receptor tyrosine kinase FLT3 occur in roughly 30% of acute myeloid leukemia (AML) patients (pts), implicating FLT3 as a potential target for kinase inhibitor therapy. The multi-targeted kinase inhibitor midostaurin (PKC412) shows potent activity against FLT3 as a single agent but also in combination with intensive chemotherapy. Besides its mere presence, the allelic ratio as well as ITD insertion site within the FLT3 gene had been reported as prognostic factors in FLT3-ITD positive AML. Furthermore, pharmacokinetic analyses revealed clinically important interactions between potent CYP3A4 inhibitors, such as azoles, and midostaurin. Aims To evaluate the pharmacodynamic activity of midostaurin measured as inhibition of the degree of phosphorylated FLT3 (pFLT3) in correlation to co-medication and outcome data. Methods The study includes intensively treated adults (age 18-70 years) with newly diagnosed FLT3-ITD positive AML enrolled in the ongoing single-arm phase-II AMLSG 16-10 trial (NCT: NCT01477606). Pts with acute promyelocytic leukemia are not eligible. The presence of FLT3-ITD is analyzed by Genescan-based fragment-length analysis (allelic ratio 〉 0.05 required to be FLT3-ITD positive). Induction therapy consists of daunorubicin (60 mg/m², d1-3) and cytarabine (200 mg/m², continuously, d1-7); midostaurin 50 mg twice daily is applied from day 8 onwards until 48h before start of the next treatment cycle. For consolidation therapy, pts proceed to allogeneic hematopoietic stem cell transplantation (HSCT) as first priority; if allogeneic HSCT is not possible pts receive three cycles of age-adapted high-dose cytarabine in combination with midostaurin from day 6 onwards. In all pts maintenance therapy for one year is intended. A total sample size of n=142 is planned to show an improvement in event-free survival from 25% after 2 years to 37.5%. Plasma inhibitory activity assay (PIA) for pFLT3 is performed as previously described (Levis MJ, et al. Blood 2006; 108:3477-83). For PIA, measured time points include day 15 of induction therapy, the end of each treatment cycle and every three months during maintenance therapy. Results To date, 72 pts (median age, 54.5 years; range, 29-69 years) have been included and PIA was performed so far in 37 pts during induction therapy. Median pFLT3 inhibition after one week of midostaurin intake measured on day 15 of cycle 1 (C1D15) was 57.5% (range, 14.2-93.7%) with 2 of 31 pts showing inhibition 〉 85%. At the end of the first induction cycle (C1end), median inhibition was 60.3% (range, 0-99.8%); here, 6 of 37 pts had an inhibition 〉 85%. Co-medication with azoles was present in 7 of 23 pts at C1D15 and 13 of 28 pts at C1end. There was no significant difference in pFLT3 inhibition either on C1D15 (p=0.79) or at C1end (p=0.70) between pts on (median pFLT3 inhibition: 52.5%) or off (median pFLT3 inhibition 57.5%) azoles. Response data were available in 56 pts: complete remission (CR) was achieved in 78.5%; rates of early death and refractory disease (RD) were 9% and 12.5%, respectively. In first analyses, there was no difference in pFLT3 inhibition in pts achieving CR (n=30) as compared to those with RD (n=3; p=0.99). In contrast to our previously published data from three historical trials without a FLT3 inhibitor which showed that high allelic ratio was associated with low CR rates (Kayser S, et al. Blood 2009;114:2386-92), in the current trial CR rates remained high (81.5%) despite of a high allelic ratio above the median ( 〉 0.58). In addition, we did not see a negative prognostic impact of ITD insertion site within the tyrosine kinase domain of the FLT3 gene (p=0.99). Analyses are currently ongoing, measurement of FLT3 ligand levels and evaluation of pharmacokinetics of midostaurin are also intended. Conclusions The addition of 50 mg midostaurin twice daily to intensive induction therapy resulted in a moderate pFLT3 inhibition during induction therapy. Nonetheless, CR rates are promising, especially in pts with unfavorable FLT3-ITD characteristics. Concomitant azoles do not appear to significantly influence pFLT3 inhibitory activity of midostaurin. Disclosures: Levis: Ambit Biosciences: Consultancy. Schlenk:Ambit: Honoraria; Chugai: Research Funding; Novartis: Research Funding; Pfizer: Research Funding; Amgen: Research Funding.

Abstract: Abstract 785 Background: FLT3 internal tandem duplications (FLT3-ITD) occur in about 25% of acute myeloid leukemia (AML), are associated with cooperating gene mutations (NPM1, DNMT3A), and confer an adverse prognosis. Several studies have indicated that the unfavorable impact of FLT3-ITD is influenced by a number of factors, such as the mutant to wild-type ratio (allelic ratio), insertion site of FLT3-ITD in the beta1 sheet of the tyrosine kinase domain 1, and the molecular background of cooperating mutations. Aims: To evaluate the relative impact of FLT3-ITD allelic ratio and insertion site, as well as cooperating genetic lesions on prognosis and treatment decision making in a large cohort of homogeneously treated younger adult patients. Methods: The basis of the study were 2377 younger adults (median age, 48 years; range, 16–62 years) with newly diagnosed AML enrolled on three prospective treatment trials of the German-Austrian AML Study Group (AMLSG) between 1993 and 2008. Patients with acute promyelocytic leukemia (n=99), core-binding factor AML (n=279) and AML with adverse-risk cytogenetics (n=436) according to the European LeukemiaNet recommendations were excluded. Based on material availability, the presence of FLT3-ITD could be analyzed in 1414 patients; NPM1 and DNMT3A mutational status was available in 97% and 84% of the patients, respectively. In FLT3-ITD positive AML (n=394), the allelic ratio, determined by Genescan-based fragment-length analysis, was available in 86% and the insertion site in 72%. Allogeneic hematopoietic stem cell transplantation (HSCT) in first complete remission was performed in 41% and 29% of FLT3-ITD positive and negative patients, respectively. Results: We first evaluated the prognostic impact of the different FLT3-ITD characteristics within the subgroup of FLT3-ITD positive patients. The allelic ratio was categorized into quartiles ranging from low to high. For the endpoints event-free (EFS), relapse-free (RFS) and overall survival (OS), only the fourth quartile with the highest allelic ratio showed a prognostic impact for all endpoints, whereas no difference was identified between the other three quartiles. For further analyses, the allelic ratio was dichotomized comparing the fourth quartile versus the other three quartiles. FLT3-ITD insertion site in the beta1 sheet was significantly associated with an unfavorable outcome for all endpoints. Additionally, FLT3-ITD size was directly correlated with the insertion site: the more C-terminal the ITD inserted in the FLT3 gene the longer the FLT3-ITD size. There was no prognostic impact of FLT3-ITD size neither as continuous nor as quartile-categorized variable. Multiple FLT3-ITDs, present in 13% of AMLs, were associated with an unfavorable prognosis. The presence of either NPM1 and/or DNMT3A mutations in FLT3-ITD positive patients did not alter the original FLT3 prognosis. In multivariable models for the endpoint OS of the total cohort of intermediate-risk AML, an independent prognostic impact beyond the variable FLT3-ITD was shown for the allelic ratio (fourth quartile) [HR, 1.4; p=0.037] and in trend for insertion site in the beta1 sheet [HR, 1.33; p=0.06] . Survival of patients exhibiting a high allelic ratio (n=43) or insertion site in the beta1 sheet (n=60) was comparable, with a median of 10 and 13 months and 4-year survival of 19% and 24%, respectively. Of note, outcome of patients with both high allelic ratio and insertion site in the beta1 sheet (n=21) was very poor with a median OS of 10 months and 4-year OS of 5%, respectively. In patients with FLT3-ITD positive AML without these unfavorable factors (n=144), median and 4-year OS were 15 months and 42%, respectively. Of note, a clear benefit of allogeneic HSCT in first CR was only seen in FLT3-ITD positive patients without these two unfavorable factors, with a 4-year OS of 63%. In comparison, the 4-year OS of the same subgroup of patients achieving a CR after induction therapy without proceeding to allogeneic HSCT during first CR was 35%. In contrast, outcome in patients with high allelic ratio and/or insertion site in the beta1 sheet remained poor despite allogeneic HSCT in first CR. Conclusion: High FLT3-ITD allelic ratio and ITD insertion site in the beta1 sheet presented as prognostic indicators for poor outcome in patients with the presence of a FLT3-ITD. Only patients without these unfavorable FLT3-ITD features significantly benefitted from allogeneic HSCT. Disclosures: Schlenk: Roche: Research Funding; Pfizer: Research Funding; Amgen: Research Funding.

Abstract: Background: Activating mutations in receptor tyrosine kinases like FLT3 (FLT3mut) lead to an aberrant signal transduction thereby causing an increased proliferation of hematopoietic cells. Internal tandem duplications (FLT3-ITD) or mutations in the tyrosine kinase domain (FLT3-TKD) occur in about 25% of younger adult patients (pts) with acute myeloid leukemia (AML), with FLT3 -ITD being associated with an unfavourable outcome. FLT3mut present an excellent target for small molecule tyrosine kinase inhibitors (TKI). The multi-targeted kinase inhibitor midostaurin (PKC412) is currently under investigation as a FLT3-inhibitor in combination with intensive chemotherapy. Monitoring of the efficacy of such a targeted therapy and correlation of the results with clinical outcome will be of major importance. The plasma inhibitor activity (PIA) assay allows the visualization of the level of dephosphorylation of the target under TKI therapy. Preliminary data suggest a correlation between the grade of dephosphorylation, as a marker for the activity of the TKI, and clinical outcome. Aims: To individually measure the level of FLT3 dephosphorylation by PIA analysis in a large cohort of FLT3-ITD AML pts treated within our AMLSG16-10 trial (NCT: NCT01477606) which combines midostaurin with intensive chemotherapy, and to correlate the results with clinical outcome. Methods: Plasma samples from pts (age 18-70 years) with newly diagnosed FLT3-ITD AML were obtained at different time points for PIA analysis. All pts were enrolled on the ongoing AMLSG 16-10 trial applying intensive therapy in combination with midostaurin (50mg twice a day). For consolidation therapy, pts proceeded to allogeneic hematopoietic stem cell transplantation (alloHSCT) as first priority; pts not eligible for alloHSCT were intended to receive 3 cycles of age-adapted high-dose cytarabine (HiDAC) in combination with midostaurin from day 6 onwards. In all pts one year of maintenance therapy with midostaurin was intended. PIA analyses were performed at defined time points (day 15 of induction, each consolidation cycle, at the end of each treatment cycle, every 3 months during maintenance therapy) as previously described (Levis MJ, et al. Blood 2006; 108:3477-83). Results: So far, PIA analyses were performed in 63 pts (median age, 51.6 years; range, 20-70 years) during (n=63) and after (n=73) first and second induction cycle, during (n=40) and after (n=53) consolidation therapy with HiDAC as well as during maintenance therapy (n=82). During and after induction therapy median levels of phosphorylated FLT3 (p-FLT3) were 46.6% (4.5-100%, 〈 20% in 7.9%) and 39.4% (0.3-100%, 〈 20% in 20.5%), respectively. Co-medication with azoles had no impact on p-FLT3 levels. In pts with a FLT3-ITD mutant to wildtype ratio above our recently defined cut-off value of 0.5, levels of p-FLT3 〈 20% were associated with a complete remission (CR)-rate of 100%, whereas in those pts with p-FLT3 levels ≥20%, 4 out of 22 pts (18%) had resistant disease. In contrast, response in pts with a mutant to wildtype ratio below 0.5 was independent of the p-FLT3 level. During and at the end of consolidation cycles as well as during maintenance therapy p-FLT3 levels in pts treated with midostaurin were 52% (14.8-100%, 〈 20% in 5%), 63% (7.6-100%, 〈 20% in 7.4%) and 60.2% (11.5-100%, 〈 20% in 3.7%), respectively. In pts concomitantly treated with azoles levels of p-FLT3 were lower without reaching significance. 39 of 63 pts received alloHSCT in first CR; those pts with p-FLT3 levels 〈 20% after induction therapy had an in trend better survival, whereas no impact of phosphorylation levels was evident in pts receiving chemotherapy alone. Conclusion: In our study of FLT3-ITD AML pts treated with midostaurin in combination with intensive chemotherapy we could show that the lowest levels of p-FLT3 were reached during and after induction therapy. In pts with a FLT3-ITD mutant to wildtype ratio 〉 0.5, levels of p-FLT3 〈 20% during and after induction therapy were associated with a high CR-rate. When receiving alloHSCT these pts had an in trend better survival compared to those with p-FLT3 levels 〉 20%. An update of the data will be presented at the meeting. Disclosures Salwender: Celgene: Honoraria; Janssen Cilag: Honoraria; Bristol Meyer Sqibb: Honoraria; Amgen: Honoraria; Novartis: Honoraria. Horst:Amgen: Honoraria, Research Funding; Pfizer: Research Funding; Ingleheim: Research Funding; Boehringer: Research Funding; MSD: Research Funding; Gilead: Honoraria, Research Funding. Schlenk:Novartis: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Research Funding; Teva: Honoraria, Research Funding; Arog: Honoraria, Research Funding.

Abstract: Background:Despite recent advances in identifying novel molecular targets in AML patients, intensive chemotherapy followed by allogeneic hematopoietic stem cell transplantation (HSCT) still remains a cornerstone of AML therapy. However, outcome of HSCT depends on the availability of a donor and the donor type. Prior studies comparing HSCT from HLA-matched related donors (MRD) with matched unrelated donors (MUD), demonstrated conflicting results with regards to outcome. These conflicting results might be attributed to the genetic heterogeneity of AML. Aims:To analyze outcome with respect to donor type of 952 AML patients who received HSCT in first complete remission (CR) and were treated within prospective AMLSG trials. Methods:Within the AMLSG trials conducted between 1993 and 2013, of a total of 4991 patients (excluding acute promyelocytic leukemia), 3408 (2744 younger ( 〈 61 years old), 664 older (≥61 years old)) patients achieved a first CR after intensive double induction therapy. Of these, 867 (31%) younger and 85 (13%) older patients received HSCT in first CR. Distributions of donor types were 511 matched related donors (MRD), 435 matched unrelated donors (MUD) and 6 haplo-identical donors. The latter were grouped together with MUD. Results:Distributions of donor type over time are illustrated in table 1 indicating two clear trends with increasing numbers of MUD transplants and increasing median age in MUD- and MRD-transplants in recent years. There was no significant difference in overall survival, cumulative incidence of relapse (CIR) and death (CID) all estimated at 4 years according to the three time periods for MRD (p=0.56, p=0.15, p=0.10, respectively) and MUD (p=0.27, p=0.20, p=0.88, respectively). Table 1 Time period 1993-2002 2003-2007 2008-2013 Total no. 1036 1102 1270 MRD  No. 186 (18%) 182 (17%) 143 (11%)  Median age 42.7yrs 46.0yrs 51yrs  4-yr-OS (95%-CI) 59% (53-67) 66% (59-73) 61% (53-72)  4-yr-CIR (SE) 21% (3%) 25% (3%) 29% (4%)  4-yr-CID (SE) 25% (3%) 15% (3%) 18% (3%) MUD  No. 42 (4%) 131 (12%) 268 (21%)  Median age 41.1yrs 47.9yrs 50.6yrs  4-yr-OS (95%-CI) 52% (39-70) 46% (38-58) 54% (47-61)  4-yr-CIR (SE) 21% (3%) 25% (3%) 29% (4%)  4-yr-CID (SE) 25% (3%) 15% (3%) 18% (3%) Table 2 ELN risk category low inter-1 inter-2 high Total no. 867 711 433 318 MRD  No. 78 (9%) 122 (17%) 66 (15%) 57 (18%)  4-yr-OS (95%-CI) 84% (76-93) 50% (51-69) 53% (41-67) 57% (44-72)  4-yr-CIR (SE) 7% (3%) 24% (4%) 35% (6%) 49% (7%)  4-yr-CID (SE) 13% (4%) 23% (4%) 23% (6%) 12% (4%) MUD  No. 21 (2%) 139 (20%) 76 (18%) 109 (36%) 4-yr-OS (95%-CI) 69% (52-93) 58 (49-68) 52% (41 67) 35% (26-46)  4-yr-CIR (SE) 0% 28% (4%) 32% (6%) 44% (5%)  4-yr-CID (SE) 31% (11%) 20% (4%) 17% (5%) 28% (4%) There were no differences in stratified survival analyses for time period between MRD and MUD-transplants in the low, intermediate-1 and intermediate-2 risk groups with respect to OS (p=0.12, p=0.86, p=0.98), CIR (p=0.28, p=0.54, p=0.94) and CID (p=0.09, p=0.57, p=0.39). In the high risk group, OS was significantly superior after MRD-transplant compared to MUD-transplant (p=0.02), but without significant differences in CIR (p=0.74) and CID (p=0.08). Equivalent efficacy could also be shown in a subgroup analyses focusing on all FLT3-ITD positive patients (MRD, n=103, MRD, n=147) for OS (p=0.71), CIR (p=0.53) and CID (p=0.69). Conclusions: Our results based on prospective interventional studies support the perception that MUD-transplants are equal to MRD-transplants in patients with AML in first CR. Only within the ELN high risk group, patients with MRD-transplants showed superior OS but without differences in CIR and CID as compared to MUD-transplants. Disclosures Kobbe: Celgene: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; Medac: Other; Astellas: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Neovii: Other. Götze:Celgene Corp, Novartis Pharma: Honoraria. Fiedler:TEVA: Travel reimbursement for meeting attendance Other. Petzer:Celgene: Honoraria, unrestricted grant Other. Lübbert:Cephalon / TEVA: Travel support Other. Greil:Bristol-Myers-Squibb: Consultancy, Honoraria; Cephalon: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Research Funding; Amgen: Honoraria, Research Funding; Eisai: Honoraria; Mundipharma: Honoraria, Research Funding; Merck: Honoraria; Janssen-Cilag: Honoraria; Genentech: Honoraria, Research Funding; Novartis: Honoraria; Astra-Zeneca: Honoraria; Boehringer-Ingelheim: Honoraria; Pfizer: Honoraria, Research Funding; Roche: Honoraria; Sanofi Aventis: Honoraria; GSK: Research Funding; Ratiopharm: Research Funding. Döhner:Novartis: Research Funding. Döhner:TEVA: Research Funding.

Abstract: Background: Target inhibition of FLT3 by therapy with the recently FDA- and EMA-approved multi-targeted tyrosine kinase inhibitor (TKI) midostaurin can be monitored by plasma inhibitor activity (PIA) analysis by visualizing the level of target-dephosphorylation as previously described. When combining intensive chemotherapy with midostaurin, we have recently shown that the TKI achieves the lowest level of FLT3 phosphorylation (p-FLT3) at the end of the 1st induction cycle, indicating a deep target inhibition. However, sufficient inhibition could not be maintained during subsequent cycles by midostaurin in combination with chemotherapy, but it was reestablished during maintenance therapy with the TKI alone. Recent data indicate that this might be due to an increase in FLT3 ligand (FL) plasma levels induced by concomitant intensive chemotherapy. Aim: To individually measure the plasma levels of FL and to correlate the results with those from PIA analysis at defined time points during treatment in a large cohort of FLT3-ITD AML patients (pts) treated within our AMLSG 16-10 trial (NCT01477606). Methods: FL levels were measured in plasma samples from pts (age 18-70 years) with newly diagnosed FLT3-ITD positive AML obtained at defined time points during therapy in which PIA analyses were also previously performed. All pts were enrolled in the AMLSG 16-10 trial applying intensive standard chemotherapy in combination with midostaurin. For consolidation therapy allogeneic hematopoietic cell transplantation (allo HCT) was intended whereas pts not eligible for allo HCT received 3 cycles of age-adapted high-dose cytarabine (HiDAC) in combination with midostaurin starting on day 6, followed by one year of midostaurin maintenance therapy for both groups. FL levels were measured at diagnosis, at day 15 and at the end of each treatment cycle, after allo HCT and monthly during maintenance therapy using a Quantikine® ELISA kit obtained from R & D Systems®. Results: So far, we have analyzed 709 plasma samples from 68 pts at the time of diagnosis (n=62), during (day 15, n=73) and after (n=83) 1st and 2nd induction cycle, during (day 15, n=69) and after (n=82) consolidation therapy, after allo HCT (n=36) as well as during maintenance therapy (n=304). The median level of FL at diagnosis was 5.2pg/ml (0 - 66.2pg/ml). At day 15 of the 1st induction cycle FL levels showed a drastic increase (median 1057.3pg/ml; 23.6 - 2287.8pg/ml) which maintained high at day 15 of each following consolidation cycle, up to a maximum of 1696.6pg/ml (133.4 - 2461pg/ml) in median at day 15 of the 3rd consolidation cycle. Interestingly, at this time point p-FLT3 levels in median (80.2%; 32.6 - 100%) reached highest values indicating a loss of target inhibition. Of note, FL levels decreased at the end of each treatment cycle with a median level between 116.6pg/ml (19.7 - 1676.7pg/ml) and 184.5pg/ml (10.4 - 2398.3pg/ml) supporting the hypothesis of an induction of FL secretion during each treatment cycle due to concomitant chemotherapy. Consistent with this hypothesis, median FL levels decreased and stayed low during the 12 months of TKI maintenance therapy without concomitant chemotherapy with the lowest level after month 5 (median 186.7pg/ml; 125.2 - 468.6pg/ml) congruent with our previous results of a decrease in p-FLT3 levels and reestablished target inhibition during maintenance therapy. Interestingly, pts who received allo HCT showed significantly higher median FL levels after 6 months of maintenance therapy than pts who received consolidation chemotherapy (230.3pg/ml; (58.8 - 441pg/ml) vs 169.8pg/ml; (60.6-218.5pg/ml); P=.03). However this has no impact on the median p-FLT3 level at this time point. Conclusions: In our study of FLT3-ITD positive AML pts treated with midostaurin in combination with intensive chemotherapy or allo HCT we could observe a drastic increase of FL plasma levels promptly after start of chemotherapy followed by loss of stable target inhibition. In contrast, during maintenance therapy with the TKI alone FL plasma levels decreased and remained low. This correlated with a decrease of p-FLT3 levels as well indicating target inhibition. Further studies are needed to evaluate if different scheduling of the TKI in combination with chemotherapy might overcome the loss of target inhibition and if this might improve clinical outcome. These pharmacodynamic data may provide support for single-agent TKI maintenance therapy. Disclosures Paschka: Astellas: Membership on an entity's Board of Directors or advisory committees, Travel support; Agios: Membership on an entity's Board of Directors or advisory committees; Sunesis: Membership on an entity's Board of Directors or advisory committees; Jazz: Speakers Bureau; Bristol-Meyers Squibb: Other: Travel support, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees; Otsuka: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Speakers Bureau; Astex: Membership on an entity's Board of Directors or advisory committees; Amgen: Other: Travel support; Janssen: Other: Travel support; Takeda: Other: Travel support. Fiedler:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; ARIAD/Incyte: Membership on an entity's Board of Directors or advisory committees, support for meeting attendance; Novartis: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Patents & Royalties; Amgen: Research Funding; Pfizer: Research Funding; Amgen: Other: support for meetíng attendance; Gilead: Other: support for meeting attendance; GSO: Other: support for meeting attendance; Teva: Other: support for meeting attendance; JAZZ Pharmaceuticals: Other: support for meeting attendance; Daiichi Sankyo: Other: support for meeting attendance. Lübbert:Janssen: Honoraria, Research Funding; Celgene: Other: Travel Grant; Teva: Other: Study drug. Salih:Several patent applications: Patents & Royalties: e.g. EP3064507A1. Schroeder:Celgene: Consultancy, Honoraria, Research Funding. Götze:JAZZ Pharmaceuticals: Honoraria; Celgene: Honoraria, Research Funding; Takeda: Honoraria, Other: Travel aid ASH 2017; Novartis: Honoraria. Salwender:Amgen: Honoraria, Other: travel suppport, Research Funding; Novartis: Honoraria, Other: travel suppport, Research Funding; Celgene: Honoraria, Other: travel suppport, Research Funding; Takeda: Honoraria; Bristol-Myers Squibb: Honoraria, Other: travel suppport, Research Funding; Janssen: Honoraria, Other: travel support, Research Funding. Schlenk:Pfizer: Research Funding, Speakers Bureau. Bullinger:Amgen: Honoraria, Speakers Bureau; Bristol-Myers Squibb: Speakers Bureau; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Research Funding, Speakers Bureau; Bayer Oncology: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Speakers Bureau; Janssen: Speakers Bureau. Ganser:Novartis: Membership on an entity's Board of Directors or advisory committees. Döhner:Pfizer: Research Funding; Agios: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Astex Pharmaceuticals: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; AROG Pharmaceuticals: Research Funding; Pfizer: Research Funding; Bristol Myers Squibb: Research Funding; AbbVie: Consultancy, Honoraria; Astex Pharmaceuticals: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; AROG Pharmaceuticals: Research Funding; Astellas: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Bristol Myers Squibb: Research Funding; Jazz: Consultancy, Honoraria; Celator: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Celator: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sunesis: Consultancy, Honoraria, Research Funding; Sunesis: Consultancy, Honoraria, Research Funding; Jazz: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding.

Abstract: We conducted a single-arm, phase 2 trial (German-Austrian Acute Myeloid Leukemia Study Group [AMLSG] 16-10) to evaluate midostaurin with intensive chemotherapy followed by allogeneic hematopoietic-cell transplantation (HCT) and a 1-year midosta urin maintenance therapy in adult patients with acute myeloid leukemia (AML) and fms-related tyrosine kinase 3 (FLT3) internal tandem duplication (ITD). Patients 18 to 70 years of age with newly diagnosed FLT3-ITD-positive AML were eligible. Primary and key secondary endpoints were event-free survival (EFS) and overall survival (OS). Results were compared with a historical cohort of 415 patients treated on 5 prior AMLSG trials; statistical analysis was performed using a double-robust adjustment with propensity score weighting and covariate adjustment. Results were also compared with patients (18-59 years) treated on the placebo arm of the Cancer and Leukemia Group B (CALGB) 10603/RATIFY trial. The trial accrued 440 patients (18-60 years, n = 312; 61-70 years, n = 128). In multivariate analysis, EFS was significantly in favor of patients treated within the AMLSG 16-10 trial compared with the AMLSG control (hazard ratio [HR] , 0.55; P & lt; .001); both in younger (HR, 0.59; P & lt; .001) and older patients (HR, 0.42; P & lt; .001). Multivariate analysis also showed a significant beneficial effect on OS compared with the AMLSG control (HR, 0.57; P & lt; .001) as well as to the CALGB 10603/RATIFY trial (HR, 0.71; P = .005). The treatment effect of midostaurin remained significant in sensitivity analysis including allogeneic HCT as a time-dependent covariate. Addition of midostaurin to chemotherapy was safe in younger and older patients. In comparison with historical controls, the addition of midostaurin to intensive therapy led to a significant improvement in outcome in younger and older patients with AML and FLT3-ITD. This trial is registered at clinicaltrialsregistry.eu as Eudra-CT number 2011-003168-63 and at clinicaltrials.gov as NCT01477606.

Abstract: Background: Acute myeloid leukemia (AML) with t(8;21)(q22;q22.1) resulting in the RUNX1-RUNX1T1 gene fusion is considered favorable in the 2017 genetic risk stratification by the European LeukemiaNet (ELN). After intensive chemotherapy most patients (pts) achieve complete remission (CR), but relapse occurs in about 50% and is associated with poor prognosis. In this AML subgroup monitoring of measurable residual disease (MRD) has been shown to identify pts at higher risk of relapse. Aims: To assess the prognostic impact of MRD monitoring in bone marrow (BM) and peripheral blood (PB) in a large cohort of 155 clinically well-annotated t(8;21)-AML pts enrolled in one of six AMLSG treatment trials. Methods: RT-qPCR was used to quantify RUNX1-RUNX1T1 transcript levels (TL) reported as normalized RUNX1-RUNX1T1 values per 106 transcripts of the housekeeping gene B2M. Samples were analyzed in triplicate, the sensitivity was up to 10-6. Results: While pretreatment RUNX1-RUNX1T1 TL did not impact prognosis, both reduction of RUNX1-RUNX1T1 TL and achievement of MRD negativity (MRDneg) at end of treatment (EOT) were of significant prognostic importance in BM as well as in PB: MR2.5 ( 〉 2.5 log reduction) after treatment cycle 1 and MR3.0 after cycle 2 were significantly associated with a reduced relapse risk (MR2.5, BM: P=.034; PB: P=.008 and MR3.0, BM: P=.028; PB: P=.036, respectively). After completion of therapy, MRDneg was an independent favorable prognostic factor for cumulative incidence of relapse (CIR) (4-year CIR BM: 17% vs 36%, P=.021; PB: 23% vs 55%; P=.001) and overall survival (OS) (4-year OS rate BM: 93% vs 70%, P=.007; PB: 87% vs 47%; P 〈 .0001). Moreover, maximally selected Gray´s statistic defined specific MRD cut-offs at EOT associated with a lower relapse risk: 〈 83 RUNX1-RUNX1T1 TL in BM and 〈 5 in PB predicted for superior 4-year CIR (BM: 18% vs 61%; P 〈 .0001; PB: 23% vs 65%; P 〈 .0001). During follow-up serial MRD analyses allowed prediction of relapse in 77% of pts exceeding an arbitrary cut-off of 150 RUNX1-RUNX1T1 TL in BM and in 84% of pts with 〉 50 TL in PB, respectively. KIT mutation observed in 28% of pts predicted for lower CR rate and inferior outcome, but its prognostic impact was outweighed by RUNX1-RUNX1T1 TL during treatment. To determine whether PB could provide similar prognostic information as BM, we compared 680 paired samples (diagnosis, n=125; after cycle 1, n=80; after cycle 2, n=86; at EOT, n=78; during follow-up, n=311). At diagnosis RUNX1-RUNX1T1 TL tended to be slightly higher in BM than in PB (P=.072), but were significantly higher after cycle 1 (P=.008), cycle 2 (P 〈 .001), at EOT (P=.002), and during follow-up (P 〈 .001). RUNX1-RUNX1T1 TL in BM and PB correlated well (r=.87; P 〈 .0001) with on average 1-log lower values in PB. However, 2.5%, 26.7%, 26.9%, and 24.8% of all pairs were discrepant (BMpos/PBneg or BMneg/PBpos) after cycle 1, cycle 2, at EOT, and during follow-up. Of 104 PBneg samples obtained during treatment, 46 (44%) were still BMpos. In the post-treatment period, this fraction decreased to 28% (77 BMpos/276 PBneg pairs) (P=.003). Of note, RUNX1-RUNX1T1 TL in all but four of the 77 (5.2%) BMpos samples were below the cut-off of 150 TL. Virtually all relapses occurred within one year after EOT with a very short latency from molecular to morphologic relapse strongly suggesting to perform MRD assessment at short intervals during this period. Based on our data we refined the practical guidelines for MRD assessment in RUNX1-RUNX1T1-positive AML: i) along with the current ELN MRD recommendations, BM and PB should be analyzed after each treatment cycle; ii) during the follow-up period, in particular the first year after EOT, MRD monitoring in PB should be performed monthly; in pts with TL 〉 50 in PB, increase of MRD TL 〉 1-log, and/or conversion from MRDneg to MRDpos a complementary BM samples should be analyzed timely. Summary: RUNX1-RUNX1T1 MRD monitoring allows for the discrimination of pts at high and low risk of relapse. MRDneg in both BM and PB after completion of therapy was the most valuable independent favorable prognostic factor for relapse risk and OS. During follow-up, serial MRD analyses allowed the definition of cut-offs predicting relapse. Moreover, considering that virtually all relapses occurred within the first year after EOT with a very short latency from molecular to morphologic relapse MRD assessment in PB at shorter intervals during this period is indispensable. Disclosures Weber: Celgene Corporation: Research Funding. Schroeder:Celgene Corporation: Consultancy, Honoraria, Research Funding. Götze:AbbVie: Membership on an entity's Board of Directors or advisory committees. Fiedler:Amgen, Pfizer, Abbvie: Other: Support in medical writing; Amgen, Pfizer, Novartis, Jazz Pharmaceuticals, Ariad/Incyte: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Amgen, Jazz Pharmaceuticals, Daiichi Sanchyo Oncology, Servier: Other: Support for meeting attendance. Greil:Gilead: Consultancy, Honoraria, Other: Travel/accomodation expenses, Research Funding; MSD: Consultancy, Honoraria, Other: Travel/accomodation expenses, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy, Honoraria; Sandoz: Honoraria. Krauter:Pfizer: Honoraria. Bullinger:Amgen: Honoraria; Astellas: Honoraria; Gilead: Honoraria; Daiichi Sankyo: Honoraria; Hexal: Honoraria; Janssen: Honoraria; Jazz Pharmaceuticals: Honoraria; Menarini: Honoraria; Novartis: Honoraria; Pfizer: Honoraria; Abbvie: Honoraria; Bayer: Other: Financing of scientific research; Sanofi: Honoraria; Seattle Genetics: Honoraria; Bristol-Myers Squibb: Honoraria; Celgene: Honoraria. Paschka:Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses, Speakers Bureau; Jazz: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Other: Travel expenses, Speakers Bureau; Agios: Membership on an entity's Board of Directors or advisory committees; Amgen: Other: Travel expenses; Otsuka: Membership on an entity's Board of Directors or advisory committees; Takeda: Other: Travel expenses; Janssen: Other: Travel expenses; Abbvie: Other: Travel expenses; Sunesis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: Travel expenses, Speakers Bureau; Astex: Membership on an entity's Board of Directors or advisory committees, Travel expenses; Astellas: Membership on an entity's Board of Directors or advisory committees. Döhner:AbbVie, Agios, Amgen, Astellas, Astex, Celator, Janssen, Jazz, Seattle Genetics: Consultancy, Honoraria; Celgene, Novartis, Sunesis: Honoraria, Research Funding; AROG, Bristol Myers Squibb, Pfizer: Research Funding. Döhner:Celgene: Honoraria; Janssen: Honoraria; CTI Biopharma: Consultancy, Honoraria; Daiichi: Honoraria; Jazz: Honoraria; Novartis: Honoraria.

Abstract: Background Cyto- and molecular-genetic abnormalities evaluated at initial diagnosis are the most powerful prognostic and in part also predictive markers in acute myeloid leukemia (AML) with regard to achievement of complete remission (CR) and survival. Nonetheless, after relapse the prognostic impact of clinical characteristics and genetic abnormalities assessed at initial diagnosis with respect to achievement of subsequent CR and survival are less clear. Aims To evaluate the probability of CR achievement and survival in relapsed AML patients in correlation to clinical characteristics and genetic abnormalities assessed at initial diagnosis as well as treatment strategy. Methods The study includes intensively treated adults with newly diagnosed AML enrolled in 5 prospective AMLSG treatment trials between 1993 and 2009. Patients with acute promyelocytic leukemia were excluded. All patients received intensive therapy, including allogeneic (allo) and autologous (auto) hematopoietic stem cell transplantation (HSCT) during first line therapy. Results A total of 3218 patients (median age, 54 years; range, 16-85 years) were enrolled in 5 AMLSG treatment trials. Of these, 1307 (41%) patients (16-60 years, n=958; ≥61 years, n=349) experienced relapse, n=194 after alloHSCT, n=75 after autoHSCT and 1038 after chemotherapy. Salvage strategies were as follows: (i) n=907, intensive chemotherapy (INT) followed in n=450 by HSCT (matched related donor [MRD], n=114; matched unrelated donor [MUD] , n=303; cord blood graft [CB], n=3; haplo-identical family donor [HID] , n=18; autoHSCT, n=12); (ii) n=100, direct alloHSCT (MRD, n=31; MUD, n=63; HID, n=4) or n=2 autoHSCT (TPL); (iii) n=29, donor lymphocyte infusions (DLI) in patients after alloHSCT in CR1; (iv) n=60, demethylating agents/low-dose cytarabine (NON-INT); (v) n=24, experimental treatment within phase I/II studies (EXP); (vi) all other patients (n=187) received best supportive care (BSC). After salvage therapy CR rate was 38% and after the different treatment approaches as follows: INT, 37%; TPL, 73%; DLI, 38%; NON-INT, 8%; EXP, 29%. After failure to respond to INT, n=159 additional patients achieved a CR2 after HSCT resulting in an overall CR2 rate of 50%. A logistic regression model revealed CEBPA double-mutant (dm) (OR, 6.42; p=0.0001), core-binding factor (CBF) AML (OR, 2.87; p=0.0002), a direct HSCT strategy (OR, 3.32; p=0.0002), and mutated NPM1 (OR, 1.59; p=0.02) as favorable (only if response after HSCT was included) and FLT3-ITD (OR, 0.66; p=0.04), age (difference of 10 years; OR, 0.82; p=0.003), NON-INT (OR, 0.08; p=0.0001) and in trend a previous alloHSCT in CR1 (OR, 0.65; p=0.08) as unfavorable independent parameters for achievement of CR2. Median follow-up for survival after relapse was 4.3 years and survival after 4 years was 22% (95%-CI, 19-25%). Patients proceeding to alloHSCT after first relapse (n=536; MRD, n=145; MUD, n=366; HID, n=22; CB, n=3) had a 4-year survival of 36% (95%-CI, 32-41%) and those not proceeding to alloHSCT of 8% (95%-CI, 6-11%). In univariable analyses the combined genotype mutated NPM1 in the absence of FLT3-ITD (p=0.66) was not associated with a favorable outcome. A multivariable regression model including alloHSCT as a time-dependent co-variable revealed alloHSCT performed after relapse (HR, 0.34; p 〈 0.0001), CEBPAdm (HR, 0.48; p=0.002), CBF- AML (HR, 0.50; p 〈 0.0003) and DLI in relapsed patients with a previous alloHSCT performed in CR1 (HR, 0.40; p=0.002) as significant favorable factors, whereas FLT3-ITD (HR, 1.35; p=0.005) and in trend NON-INT (OR, 1.40; p=0.06) were unfavorable factors. Due to collinearity of FLT3-ITD with duration of first remission (cut point at 1 yr), the latter was not included into the multivariable models. Of 561 patients achieving CR2, 252 experienced 2nd relapse (REL2) and 114 died in CR2. Most REL2 patients (n=117) received INT whereas n=54 received BSC only. Allo- and autoHSCT were performed in 55 and 3 REL2 patients, respectively. CR3 rate in patients who received treatment was overall 40% including response to HSCT of 58%. Conclusions Patients with relapsed AML have an overall probability of less than 50% to achieve a CR2 and CR3 after intensive salvage chemotherapy; the only exceptions are AML with CEBPAdm and CBF-AML. AlloHSCT either as direct treatment of relapse or as salvage therapy after failure of intensive chemotherapy may overcome chemo-resistance. Disclosures: Schlenk: Celgene: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Chugai: Research Funding; Amgen: Research Funding; Novartis: Research Funding; Ambit: Honoraria. Off Label Use: Pomalidomide in Myelofibrosis. Kindler:Novartis: Membership on an entity’s Board of Directors or advisory committees.

Abstract: Background: CBF-AML is defined by recurrent genetic abnormalities which encompass t(8;21)(q22;q22), inv(16)(p13.1q22) or less frequently t(16;16)(p13.1;q22). Most frequent secondary chromosome aberrations in t(8;21) AML are del(9q) or loss of a sex chromosome, and in inv(16)/t(16;16) AML trisomy 22 or trisomy 8. At the molecular level mutations involving KIT, FLT3, or NRAS were identified as recurrent lesions in CBF-AML. However, the underlying genetic alterations which might trigger relapse in CBF-AML are not well delineated. Thus, the aim of our study was to characterize the clonal architecture of relapsed CBF-AML. Methods: We performed mutational profiling (KIT, FLT3-ITD, FLT3-TKD, NRAS, ASXL1) in paired samples obtained at diagnosis and at relapse from 66 adults with CBF-AML [inv(16), n=43; t(8;21), n=23] who all were treated within the AMLSG studies. Results: In inv(16) AML, the following mutation pattern was identified at diagnosis: KIT 13/40 (33%; exon 8, n=6; exon 17, n=5; exon 8+17, n=1; exon 11, n=1; missing data, n=3), NRAS 18/43 (42%), FLT3-TKD 4/43 (9%); none of the pts harboured FLT3-ITD or ASXL1 mutations. At the time of relapse, there was a shift in the mutation pattern in 26 pts (60%): KIT mutations (exon 8, n=5; exon 17, n=2; exon 8+17, n=1) were lost in 8 pts and 1 pt acquired an exon 17 KIT mutation; similarly, 15 pts lost and 1 pt gained NRAS mutation, respectively. Of note, all FLT3-TKD mutations were lost at the time of relapse, and only one pt gained a FLT3-ITD mutation. Based on these findings we calculated the stability in inv(16) AML for KIT, NRAS and FLT3-TKD mutations as 38%, 17%, and 0%, respectively. AML with t(8;21) presented a different diagnostic mutation profile: KIT 9/23 (39%; exon 17, n=8; exon 11, n=1), FLT3 -ITD 3/23 (13%), NRAS 2/23 (9%), and ASXL1 1/23 (4%); there were no FLT3-TKD mutations. At the time of relapse, the mutation pattern changed in 9 pts (39%); KIT mutations were lost in 4 pts (exon 17, n=3; exon 11, n=1), but acquired in 2 pts with both of them located in exon 17; only 1 pt lost the NRAS mutation. FLT3-ITD was lost in 2 and gained in 3 pts. There was no change in the ASXL1 mutation status. Thus, the stability for KIT, NRAS, FLT3-ITD and ASXL1 mutations in t(8;21) AML was calculated as 56%, 50%, 33% and 100%, respectively. Of note, mutations affecting the KIT and NRAS gene were almost mutually exclusive; there were only 3 pts with concurrent KIT and NRAS mutations at diagnosis [inv(16), n=2; t(8;21), n=1] . Conclusion: CBF-AML cases display a high degree of molecular heterogeneity with shift of the mutation pattern at relapse in both CBF-AML subtypes. The frequent loss of KIT and NRAS mutations at relapse suggests that there might be other important secondary lesions driving relapse. Ongoing high-resolution genome-wide profiling will further unravel the clonal hierarchy and genomic landscape in CBF-AML. Disclosures Götze: Novartis: Honoraria; Celgene Corp.: Honoraria. Greil:Celgene: Consultancy; Ratiopharm: Research Funding; Sanofi Aventis: Honoraria; Pfizer: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria; Astra-Zeneca: Honoraria; GSK: Research Funding; Novartis: Honoraria; Genentech: Honoraria, Research Funding; Janssen-Cilag: Honoraria; Merck: Honoraria; Mundipharma: Honoraria, Research Funding; Eisai: Honoraria; Amgen: Honoraria, Research Funding; Cephalon: Consultancy, Honoraria, Research Funding; Bristol-Myers-Squibb: Consultancy, Honoraria; AOP Orphan: Research Funding; Roche, Celgene: Honoraria, Research Funding. Schlenk:Boehringer-Ingelheim: Honoraria; Teva: Honoraria, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Research Funding; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Research Funding; Arog: Honoraria, Research Funding.