Citations

Abstract Background Voriconazole is a common antifungal medication used in allogeneic hematopoietic stem cell transplantation (allo-HSCT) patients. In solid organ transplantation, multiple studies have associated the use of voriconazole with the development of squamous cell carcinoma (SCC) post-transplant, but its association with SCC in allo-HSCT patients is unknown. We sought to determine this association. Methods After IRB approval, Mayo Clinic’s transplant database (2007-2012) was accessed and electronic charts of allo-HSCT patients were retrospectively reviewed. Voriconazole exposure was defined as exposure to voriconazole at any time during treatment of primary disease, prior to or following HSCT. Cumulative voriconazole exposure was defined as total days of voriconazole use following HSCT; days were not required to be consecutive. Two time-dependent voriconazole exposure variables were defined: (1) history of voriconazole exposure (yes/no) over time, and (2) cumulative days on voriconazole over time. Results 404 patients underwent allo-HSCT during this timeframe, and 381 patients (table 1) were included in the final analysis. 23 patients were excluded (8 patients received multiple transplants, 9 patients were treated under pediatric protocols, 6 patients lacked research consent). 312/381 received voriconazole; other antifungal therapy included fluconazole (n=40), posaconazole (n=23), anidulafungin (n=1), and caspofungin (n=5). Median duration of cumulative days of voriconazole was 214 (range 2 -1553). SCC developed in 26/312 exposed to voriconazole and in 1/69 who received alternative antifungals. Cumulative incidence of SCC at 1 year was 3%, 2 years was 8%, 3 years was 13%, 4 years was 14%, and at 5 years was 19% (figure 1). Cumulative days of voriconazole use was found to be a risk factor for the development of SCC, and this relationship persisted in a multivariate model using previously identified risk factors (gender, age at transplant, TBI conditioning regimen, skin cancer pre-HSCT, chronic GVHD) as covariates (HR 1.859 for each 180 days of use, p<0.001). History of prior voriconazole exposure was not associated with an increased risk of SCC after covariate adjustment (HR 2.436, p=0.2369). Conclusion This is the first study to establish cumulative days of voriconazole use as a risk factor for SCC development following allo-HSCT, and may help guide appropriate antifungal prophylaxis in this patient population which is already at an increased risk of developing skin cancers. Disclosures: No relevant conflicts of interest to declare.

Abstract Background The JAK1/JAK2 inhibitor ruxolitinib (RUX) is approved for treatment of myelofibrosis (MF). However, some patients do not respond to RUX, while others lose responsiveness or develop intolerance to RUX over time. Preclinical data also suggest that certain JAK2 mutations (eg the gatekeeper mutation M929I) may confer resistance to RUX (Leukemia 2012;26:708). Options for these RUX resistant/intolerant patients, particularly with regard to further JAK inhibitor therapy, are unclear. Fedratinib (SAR302503) is a JAK2-selective inhibitor which has demonstrated clinically meaningful reductions in splenomegaly and symptom burden in patients with MF, with an acceptable and consistent safety profile (J Clin Oncol 2011;29:789. Haematologica 2013;98:S1113). Fedratinib sensitivity in vitro is unaffected by the M929I mutation. This pre-specified interim analysis of the JAKARTA-2 study (NCT01523171) investigated the efficacy and safety of fedratinib in MF patients previously treated with RUX. Methods JAKARTA-2 is a Phase II, multicenter, open-label, single-arm study of patients who previously received RUX for MF. Patients ≥18 yrs with splenomegaly and platelet count ≥50 ×109/L received fedratinib 400 mg orally, once daily for consecutive 4-wk cycles (permitted dose adjustment to 200–600 mg daily). Eligible patients had received ≥14 d RUX treatment, and had discontinued RUX for ≥14 d prior to starting fedratinib. Although there is no consensus definition of RUX resistance/intolerance, for the purpose of this study patients were classed (investigator assessment) as resistant (lack or loss of response) or intolerant to RUX. Primary endpoint for the interim analysis: spleen response rate (RR) (≥35% reduction in spleen volume from baseline at Wk 12 [MRI/CT blinded central review]) in the per-protocol (PP) population. Secondary endpoints: symptom RR (≥50% reduction in total symptom score [TSS: modified Myelofibrosis Symptom Assessment Form] from baseline to Wk 12) and safety. Results At the cut-off date for this interim analysis, 27 patients had received fedratinib treatment (median RUX exposure 10.7 months [range 1.9–34.4]): median age 69 yrs; 56% male; 67% primary MF; 63% high-risk MF; 67% JAK2V617F positive; 41% platelet count <100 × 109/L; baseline median spleen volume 3190 mL [1072–7815]; baseline median TSS 19.6 [4.9–46.0]. Eighteen patients were considered resistant by the treating physician (8 lack of response, 3 disease progression, 7 loss of response; median RUX exposure 11.1 months [range 1.9–34.4]) and 9 intolerant (6 hematologic, 3 non-hematologic toxicity; median RUX exposure 9.2 months [2.9–33.2]) to RUX. Median fedratinib exposure to cut-off date: 4 cycles (range 1–10); 19 patients remain on treatment. Spleen RRs were 40% (8/20 PP patients) and 43% (3/7) in patients with baseline platelet count <100 ×109/L. Overall, 19% (5/26 evaluable patients) had a symptom response by Wk 12 (Table). The majority of patients had a reduction in TSS at Wk 12 (Figure). The most common non-hematologic treatment-emergent adverse events (AEs) were gastrointestinal (nausea 67%; diarrhea 56%; vomiting 48%). Grade 3/4 diarrhea occurred in 2 patients; no Grade 3/4 vomiting or nausea. Anemia was the most common hematologic AE (all grades, 93%; Grade 3, 41%; Grade 4, 0%). Thrombocytopenia (all grades) occurred in 19 (70%) patients; Grade 3 in 6 patients and Grade 4 in 2 patients. One patient had Grade 3 AST elevations and 1 patient had Grade 3 hyperbilirubinemia. Seven patients (26%) discontinued treatment due to AEs. There were 2 deaths on study, both due to disease progression. Conclusions Interim results from the JAKARTA-2 study indicate that once-daily fedratinib provides clinical benefit, through reduced splenomegaly and symptom burden, in MF patients previously treated with RUX. The safety profile was acceptable and manageable, with safety results to date consistent with those reported in previous trials of fedratinib. Sponsored by Sanofi. Disclosures: Harrison: Novartis: Research Funding; Novartis, Sanofi, YM Bioscience, Celgene, SBio, Gilead: Honoraria; Novartis, Sanofi, Shire: Speakers Bureau; Novartis, Sanofi, YM Bioscience, SBio, Gilead: Membership on an entity’s Board of Directors or advisory committees. Jourdan:Sanofi: Honoraria. Kiladjian:Novartis, Celgene, AOP Orphan: Research Funding; Novartis, Sanofi, AOP Orphan: Honoraria; Novartis, Sanofi, AOP Orphan: Membership on an entity’s Board of Directors or advisory committees. Cervantes:Novartis: Speakers Bureau; Novartis and Sanofi: Membership on an entity’s Board of Directors or advisory committees. Niederwieser:Novartis Pharma: Consultancy. Cortes:Incyte, Sanofi: Consultancy; Incyte, Sanofi: Research Funding. Passamonti:Novartis, Celgene, Incyte, Sanofi, Roche: Honoraria. Reiter:Sanofi: Honoraria. Heidel:Novartis Inc.: Honoraria; Novartis Inc.: Research Funding; Novartis Inc.: Membership on an entity’s Board of Directors or advisory committees. Silver:Sanofi: Consultancy; Sanofi: Research Funding; Sanofi: Honoraria. Winton:Sanofi: Research Funding. Gupta:Incyte, Novartis: Consultancy; Incyte, Novartis: Research Funding; Novartis: Honoraria. Gisslinger:AOP Orphan Pharmaceuticals, Novartis, Sanofi, Shire, Celgene, Janssen: Membership on an entity’s Board of Directors or advisory committees; AOP Orphan Pharmaceuticals, Novartis, Sanofi, Shire, Celgene, Janssen: Honoraria. Vannucchi:Novartis: Membership on an entity’s Board of Directors or advisory committees. Talpaz:Novartis, Bristol-Myers Squibb, Ariad, Deciphera: Research Funding; Novartis, Bristol-Myers Squibb, Ariad, Deciphera: Speakers Bureau. Zhang:Sanofi: Employment. Shi:Sanofi: Employment. Mesa:Incyte, Genentech, Lilly, MS Pharma, Gilead: Research Funding.

Abstract Background: Fludarabine plus busulfan (FB) and fludarabine plus melphalan (FM) are two commonly used reduced intensity conditioning (RIC) regimens for allogeneic hematopoietic stem cell transplantation (SCT). A recent analysis showed that both regimens had similar overall survival (OS) but relapse incidence (RI) was significantly higher with FB with a trend towards higher non-relapse mortality (NRM) in FM (Baron et al., Cancer 2015). However, that cohort included patients treated with oral and intravenous busulfan without pharmakokinetic targeting of intravenous which may impact anti-leukemic activity. Aim: Compare transplant related outcomes of FB vs. FM using intravenous (IV) busulfan targeted to the area under the curve (AUC). Methods: After due IRB approval, patients with acute myelogenous leukemia (AML) and myelodysplastic syndromes (MDS) receiving RIC-SCT from 2008-2014 were identified. All baseline and laboratory features were retrospectively extracted. Busulfan dose in FB was 0.8 mg/kg IV for 10 doses with therapeutic AUC target of 900-1500 mcmol/L (min). All patients received T-cell replete grafts. Categorical and continuous variables were compared using Pearson's chi-squared and Wilcoxon/Kruskal-Wallis, respectively. Survival estimates were calculated using the Kaplan-Meier method and curves were compared using the log-rank test. Cumulative incidence was computed as competing events using Grey's model. Univariate and multivariate analyses were performed using Cox regression modeling. Results: A. Baseline characteristics and AUC monitoring: 134 pts were identified (47 FB and 87 FM). Median follow up of the entire cohort was 40 months (0-63.3) and at last follow up, 60% and 29% have died or relapsed, respectively. Baseline characteristics stratified according to conditioning regimen are shown in table 1. Younger age (60 yrs FB vs. 61 yrs FM, p = 0.015) and a trend towards a higher CMV R-/D- status (28% FB vs. 14% FM p = 0.064) were the only significant differences identified. All patients in the FB group received intravenous busulfan and 46/47 patients had evaluable AUC data with a range of 732-1354 mcmol/L (min). A total of 19 patients were outside of range, all <900 mcmol/L (min) and required a median dose increase of 28.1% (3.3-50.2%) B. Engraftment and toxicity data: The median time for platelet engraftment was 19 days (0-48) for FB vs. 16 days (14-183) for FM (p = 0.0023) whereas the median time to absolute neutrophil count (ANC) engraftment was 18 days (7-30) for FB and 15 days (11-40) for FM (p = 0.077). Cumulative incidence of grade II-IV, III-IV acute GVHD and chronic GVHD at 2-yr was 57.3%, 11% and 52.8% for FB and 48.6%, 17% and 63.4% for FM (p = 0.73, 0.4 and 0.21, respectively). Two patients in the FM group died of cardiac causes (heart failure and sudden cardiac arrest). No cases of sinusoidal obstructive syndrome were observed in either arm C. Transplant outcomes: A significantly higher 2-yr relapse incidence (RI) was associated with FB vs. FM at 35.6% vs 17.3%, respectively (p = 0.0058). 2-yr progression free survival (PFS) was also significantly lower in the FB vs. FM at 51.2% vs. 65.1%, respectively (p 0.031). However, 2-yr OS and NRM was similar for FB vs. FM (53.1% and 22.9% vs 63.9% and 21.9%, respectively p = 0.26 and 0.89). Necessitating a dose adjustment based on AUC did not increase the risk for relapse or affect NRM. In multivariate analysis, FB was associated with increased RI with hazard ratio (HR) 2.29 (1.07-4.88; p = 0.033). Other factors significantly associated with RI on multivariate analysis were secondary/therapy related disease with HR 2.84 (1.34-6.02; p = 0.0067) and CR1 vs. other with HR 0.39 (0.17-5.32; p = 0.019). The significance of the results remained unchanged after exclusion of MDS patients (data not shown) Conclusion: Despite AUC dose adjustment, FB compared to FM was associated with increased RI with a similar OS and NRM. AUC dose adjustment did not impact transplant outcomes and its routine use in RIC should be further evaluated. Given the wide use of FB as a conditioning regimen, these important observations should be prospectively studied in a randomized fashion. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Al-Kali: Novartis: Research Funding. Wolf:Janssen Scientific Affairs, LLC: Consultancy.

Abstract Abstract 1881 Background: Drug-disease modeling and simulation has recently been proposed to support drug development decisions in patients with liquid and solid tumors (Claret et al J Clin Oncol, 27:4103-4108, 2010; Wang et al. Clin Pharmacol Ther, 86:167-174, 2009). We hypothesized that similar modeling based on a decrease in M-protein may be applied in multiple myeloma. The objective was to use a modeling and simulation approach to leverage available lenalidomide multiple myeloma data and support pomalidomide development decisions by, 1) developing a drug-independent link between tumor burden reduction (as assessed by change from baseline in serum M-Protein) and survival and PFS and 2) simulating expected survival and PFS based on interim M-protein data of the phase 1/2 trial (CC-4047-MM02, NCT00833833) of pomalidomide (POM) in patients with relapsed and refractory multiple myeloma who have received at least 2 prior therapies including lenalidomide (LEN) and bortezomib. Methods: M-Protein measurements were modeled as a function of time from 704 patients included in two phase 3 clinical studies of LEN plus dexamethasone (DEX) vs. DEX (MM010, Dimopoulos, NEJM 357, 2123–2132, 2007 and MM009, Weber, NEJM 357, 2133–2142, 2007). Models were developed for survival and PFS times as a function of change in M-protein level at end-of-cycle 2 (week 8) from baseline as well as other prognostic factors. Interim M-protein data from the ongoing MM-002 POM study (217 patients) were modeled to simulate clinical endpoints. Results: Based on lenalidomide Phase 3 data, week-8 change in M-Protein (p < 0.00001), ECOG performance status (p < 0.0009), baseline albumin, hemoglobin and creatinine levels (p < 0.01) were significant independent predictors of survival when week-8 change in M-Protein (p < 0.00001) and baseline hemoglobin (p < 0.001) were significant independent predictors of PFS. Observed survival and PFS distributions over 100 weeks in lenalidomide studies and difference between the two treatments (LEN + DEX vs. DEX) were consistent with the 95% confidence intervals (CI) of the models. Model predictions (95% PIs) of median survival and PFS based on week-8 change in M-Protein following treatment with POM and POM + DEX are presented in the table below. The recently disclosed observed medians and 95% CIs for all endpoints and all arms from MM-002 are included in the model. Conclusions: Change in M-protein level as a continuous longitudinal biomarker appears to be a potential indicator to assess drug effect in multiple myeloma studies using modeling and simulation based on early interim data. PFS predicted by the model and the actual PFS are similar and thus may support end-of-Phase 2 decision (Bruno et al Clin Pharmacol Ther 86:136-138, 2009). Current simulations indicate encouraging results for POM in a refractory multiple myeloma patient population who have received prior treatment that includes lenalidomide and bortezomib but these exploratory methods require confirmation as part of ongoing studies. Disclosures: Bruno: Pharsight: Employment; Celgene Corporation: Research Funding. Off Label Use: Pomalidomide is not an FDA licensed product for multiple myeloma treatment. Jonsson:Pharsight: Employment; Celgene Corporation: Research Funding. Zaki:Celgene Corporation: Employment. Jacques:Celgene Corporation: Employment. Swern:Celgene Corporation: Employment. Richardson:Millennium Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Novartis Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Johnson & Johnson: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees. Claret:Celgene Corporation: Consultancy, Research Funding; Pharsight: Employment.

Abstract Introduction : Follicular lymphoma (FL) remains an incurable malignancy as patients eventually experience progressive disease. A subset of patients is at risk of early lymphoma-related mortality due to histological transformation (TFL) to aggressive lymphoma (2-3% of patients per year) or early progression after immuno-chemotherapy, each of which leads to shortened survival. Mutations associated with transformation and/or early progression have been reported in the literature (e.g. CDKN2A, TP53, B2M) and the m7-FLIPI clinico-genetic risk model defines a high-risk patient group with poor failure-free survival after first-line treatment. However, the current knowledge of genetic alterations underlying transformation and/or early progression is inadequate to explain the majority of transformed cases and accurately predict early progressive disease. Materials and Methods: We performed targeted capture-based sequencing of 94 genes in a large cohort of fresh-frozen and formalin-fixed and paraffin-embedded patient specimens (402 samples in total). This cohort comprised 277 samples from 159 patients that experienced transformation (including 128 samples at T1 (the time of FL) and 149 samples at T2 (the time of transformation) with 118 paired biopsies) and 125 samples from 125 patients (pre-treatment samples only) presenting with either early progression within 2.5 years after starting immunochemotherapy (n=41) or late or never progression for at least 5 years after starting immunochemotherapy or observation (n=84). Mutations were called using MutationSeq and putative single nucleotide polymorphisms were filtered out using either matching germline samples (n=84) or dbSNP (v147). Bayesian proportion tests were used to compare the prevalence of gene mutations between groups. Results : We first compared T1 (n=128) and T2 (n=149) samples from 159 patients experiencing transformation. Eleven genes were more commonly altered in transformed lymphoma. These included genes that had previously been associated with transformation, such as TP53, B2M, MYC and EBF1, as well as genes that have not yet been implicated as contributing to this process, for example EZH2, CCND3, PIM1 and ITPKB. Moreover, mutations in GNA13, S1PR2 and P2RY8, that have been implicated in dissemination of germinal centre B cells, were enriched in T2 samples. In addition, cell-of-origin classification was available for 108 of the TFL cases with DLBCL histology, 18 and 90 of which were of the ABC and GCB subtype, respectively. Although the number of ABC-TFL cases was small, we observed higher percentages of BCL10 (16% versus 1%, Fisher P=0.004), CD79B (22% versus 4%, Fisher P=0.005) and MYD88 mutations (28% versus 9%, P=0.006) in ABC-TFL than in GCB-TFL, suggesting that B-cell receptor signaling and NF-κB signaling are important contributors to the ABC phenotype in TFL. Next, we assessed the association of gene mutations with patient outcomes contrasting early progressers (n=41) and late or non-progressers (n=84). Eleven genes were mutated more commonly in early progressers than in late progressers, including KMT2C, TP53, BTG1, MKI67, XBP1 and SOCS1. Overall, 32 out of 41 early progressers (78%) had mutations in at least one of the 11 early progression-associated genes, but none of the individual early progression-associated genes were mutated at a frequency > 22%. Thus, early progression appears to be related to relatively infrequent genetic alterations. None of the early progression-associated gene mutations form part of the m7-FLIPI outcome predictor. Furthermore, in our cohort that was enriched for clinical extremes, the m7-FLIPI was similarly associated with early progression when compared to the FLIPI but it was not superior, having higher specificity (89% versus 76%), but lower sensitivity (36% versus 63%). Conclusions: We found novel associations of gene mutations with transformation and showed that TFL is molecularly heterogeneous, with the ABC subtype being characterized by differential gene mutation when compared to the GCB subtype. With regards to progressive disease after immuno-chemotherapy, our approach identified early progression as a distinct clinico-genetic disease category that is imperfectly captured by traditional prognostic tools. Disclosures Connors: Seattle Genetics: Research Funding; Bristol Myers Squib: Research Funding; F Hoffmann-La Roche: Research Funding; NanoString Technologies: Research Funding; Millennium Takeda: Research Funding. Scott:NanoString Technologies: Patents & Royalties: named inventor on a patent for molecular subtyping of DLBCL that has been licensed to NanoString Technologies.

Abstract Introduction: Anti-CD19 chimeric antigen receptor T cells (CART19) and bi-specific anti-CD19/CD3 antibodies (blinatumomab) generate unprecedented complete response rates of 45-90% in relapsing/refractory acute lymphoblastic leukemia (r/r B-ALL). However, a subset of patients treated with these targeted approaches will relapse and a significant portion of these relapses are characterized by the loss of detectable CD19 (about 30% of relapses after blinatumomab and up to 50% after CART19), a clear manifestation of immunoediting. Hence, novel effective strategies are needed in order to be able to treat those patients and ideally prevent antigen-loss. CD123, the interleukin-3 receptor alpha, is involved in hematopoiesis and has been shown to be expressed in several hematologic neoplasms, including acute myeloid leukemia (AML) and more recently also B-ALL. Targeting CD123 with chimeric antigen receptor T cells (CART123) was shown to lead to deep and long-term responses in human primary AML xenografts. The goal of this study was to pre-clinically evaluate the impact of targeting CD123 and CD19 with chimeric antigen receptor T cells for the treatment and prevention of CD19-negative leukemia relapses occurring after CD19-directed therapies. Results: We analyzed the expression of CD123 in 42 r/r B-ALL samples and found that CD123 is highly and homogeneously expressed on the surface of most B-ALL blasts (81.75%, range: 5.1-99.6), making it a promising candidate for targeted therapy in B-ALL. Moreover, CD123 was also found to be expressed in the putative leukemia stem cells (LSC), identified as CD34-pos CD38-neg. Notably, in some Ph+ B-ALL samples we found CD19-ve CD123+ve cells with a BCR-ABL translocation by FISH, suggesting that these cells too are malignant. The expression of CD123 was detected in all (n=6) CD19-negative B-ALL blasts analyzed after relapse from CART19 treatment (Figure 1). These findings indicate that CD123 represents an ideal marker to target CD19-neg ALL blasts occurring after CART19 or blinatumomab. Therefore, we generated anti-CD123 chimeric antigen receptor T cells costimulated with 4-1-BB using a lentiviral vector (CART123). We then evaluated the CART123 anti-B-ALL efficacy both in vitro and in vivo against primary B-ALL and cell line (NALM-6). CART123 showed intense anti-B-ALL ex vivo activity, as defined by specific CD107a degranulation, cytokine production, cytotoxicity and proliferation, not statistically different from that of CART19. In order to test the role of CART123 to target CD19-negative relapses we developed a novel in vivo model, engrafting immunodeficient NSG mice with blasts obtained from a patient relapsing with CD19-ve disease after CART19 treatment. At day 14 mice were randomized to receive CART19, CART123 or control T cells (untransduced, UTD). CART19 and control T cell treated mice had no anti-tumor activity, while CART123 led to complete eradication of the disease and long-term survival. We next developed a murine model to test the hypothesis that a combined approach simultaneously targeting CD123 and CD19 could treat and prevent CD19-negative relapses. NSG mice were injected with a mixture of primary CD19-neg and CD19-pos blasts from the same patient that were labeled with different click beetle luciferases (red or green) in order to be able to track the respective clones in vivo. Mice were then randomized to receive UTD, CART19 or the combination of CART19 and CART123 (same total dose of T cells). As shown in Figure 2, mice treated with UTD had progression of both leukemic clones (CD19-pos and CD19-neg) while CART19 showed rapid progression mostly of the CD19-neg disease (red luciferase); on the contrary only mice treated with the combination of CART123 and CART19 showed rapid clearance of the disease, with improved overall survival (64 days for CART19, not reached for CART19+CART123). As a final strategy, we expressed both CAR19 and CAR123 in the same T cells and showed potent anti-leukemia activity (CD107a degranulation 81.7%). Conclusions: Here we demonstrate that CD123 is expressed in CD19-negative B-ALL relapses occurring after CD19-directed therapies, and that combining CART123 cells with CART19 cells is an effective therapy for the treatment and prevention of antigen-loss relapses in B-ALL murine xenografts. Disclosures Ruella: Novartis: Patents & Royalties, Research Funding. Kenderian:Novartis: Patents & Royalties, Research Funding. Scholler:Novartis: Patents & Royalties. Lacey:Novartis: Patents & Royalties, Research Funding. Melenhorst:Novartis: Patents & Royalties, Research Funding. Hunter:Surface Oncology - SAB: Membership on an entity's Board of Directors or advisory committees, Research Funding. Porter:Novartis: Patents & Royalties, Research Funding. June:University of Pennsylvania: Patents & Royalties: financial interests due to intellectual property and patents in the field of cell and gene therapy. Conflicts of interest are managed in accordance with University of Pennsylvania policy and oversight; Novartis: Research Funding. Grupp:Novartis: Consultancy, Research Funding. Gill:Novartis: Patents & Royalties, Research Funding.

Abstract Abstract 3557 Introduction: Autologous stem cell transplantation for patients with amyloidosis results in high reported hematologic and organ response rates compared with conventional chemotherapy. Patients: Four-hundred and thirty-four patients have undergone transplantation between March 8, 1996, and April 13, 2010 Table 1. Clinical parameters seen in patients with amyloid are given in Table 2. The overall day-100 mortality seen in this group of patients is 44 of 434 patients (10%). Results: The most important determinant of outcome is stage defined by BNP and troponin levels. Figure 1 demonstrates the survival for patients for all 3 cardiac stages. Troponin <.035; NT-proBNP <332. Stage 1 both low, Stage 3 both elevated. The survival of all patients based on whether they achieved a complete response, a partial response (>50%), or no response was analyzed. Median survival has not been reached for the complete response group, is 107 months for the partial response group, and is 32 months for the no response group (p<0.0001). Figure 2, divides the patients at the median dFLC level of 13.5 mg/dL demonstrating that for patients with a higher level of free light chain, the median survival is 87.6 months and has not been reached for those with a lower level of free light chain. A proportional hazards model for variables that impact on survival was done in all patients, and the only relevant predictor of outcome was stage (p<0.0001). When the same analysis was performed using a landmark of 6 months, the only predictor of outcome was stage (p=0.0005). When best response was incorporated into the landmark model, it was the strongest predictor of survival. The amyloid stage predicted survival (p= 0.0005), and the best response to therapy (p <0.0001). When the same analysis was performed in the entire group of 434, stage and best response each remained significant (p<0.0001). Discussion: There is a high response rate associated with high-dose therapy that was not observed in the melphalan and prednisone era. For eligible patients who can be transplanted safely, high-dose melphalan is an effective therapy for many patients with amyloidosis. Best response and stage at diagnosis are the best predictors of overall survival. Disclosures: Lacy: Celgene: Research Funding. Dispenzieri:Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding.

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 Purpose: Shared decision-making (SDM) incorporates patients' individual preferences and values into treatment decisions in collaboration with their healthcare providers (HCPs). Patients with previously treated mantle cell lymphoma (MCL) have multiple available treatment options and are candidates for SDM. The objective of this project was to develop an informational, patient-centered decision aid that will enable patients, in collaboration with their HCP, to weigh available evidence along with patients' individual preferences and values. Methods: The evidence-based decision aid is designed to be accessed online in the physician's office or at home. The decision aid discusses and compares evidence about the risks and benefits of different treatment options available to previously treated MCL patients. To help patients understand what is important to them as they consider available treatment options, the decision aid includes simple questions that assess patients' values and preferences. The development and design process follows the International Patient Decision Aid Standards (IPDAS) model, including: 1) identification and description of the treatment decision for patients with previously treated MCL; 2) formation of a multidisciplinary advisory committee with four HCPs and one patient with MCL to advise on the development, evaluation, and implementation of the decision aid; 3) assessment of decisional needs through literature review and needs assessment interviews with five patients and five practicing HCPs to elicit their views on patients' information and decision support needs in previously treated MCL; 4) determination of online format designed for integration into clinical practice; 5) review and synthesis of clinical evidence relevant to the treatment decision and options for previously treated MCL; 6) development of the draft decision aid with five iterative cycles of feedback from HCPs and patients; 7) alpha testing with direct feedback from patients and HCPs; and, 8) beta testing in real life conditions, using patients and HCPs external to the development process, evaluating the usability of the decision aid, and assessing patient knowledge, expectations, values, treatment choice, decisional conflict and confidence in one's ability to make decisions. Results: Needs assessment interviews with patients showed that patients understand that their disease will relapse and apply previous treatment experiences to later treatment decisions. Through our interviews we found that patients look for information online, and feel that most information online about MCL is incorrect and/or outdated. In order of importance, patients identify efficacy, adverse effects, cost, and impact on daily life as their primary decision determinants. Patients like an online format and want to be involved in decision-making. In the HCPs' needs assessment interviews, HCPs stated that some patients may require significant education on treatment options due to the rapidly changing treatment landscape and long remission periods. In order of importance, HCPs feel patients choose treatment based on cost, efficacy, and impact on daily life. HCPs believe an online decision aid would work for this patient population and that patients want to be involved in treatment decision-making. Conclusion: A patient-friendly online decision aid with graphics and audio was developed for patients with previously treated MCL. Feedback from patients and HCPs has been integrated into the decision aid. Guided by a well-documented and systematic development process, this SDM tool can complement other methodologies in decision-making and has the potential to improve patient-physician communication, ensuring patients' preferences and values are incorporated at the point of care. Disclosures LeBlanc: Flatiron: Consultancy; Epi-Q: Consultancy; Boehringer Ingelheim: Membership on an entity's Board of Directors or advisory committees; Helsinn Therapeutics: Honoraria, Research Funding. Wolf:Janssen Scientific Affairs, LLC: Consultancy. Neylon:Seattle Genetics: Speakers Bureau; Celgene: Speakers Bureau; Genentech: Speakers Bureau; Gilead: Speakers Bureau. Caroselli:Janssen Scientific Affairs, LLC: Research Funding. Deering:Janssen Scientific Affairs, LLC: Research Funding. Schenkel:Janssen Scientific Affairs, LLC: Employment.

Abstract Introduction: Customized gene panel sequencing is an attractive approach to genomic tumor characterization in clinical care. Based on published MM exome data we developed a MM Mutation Panel (M3 P) that includes the most commonly mutated genes, actionable drug targets, genes targeted by current standard of care (SOC) therapies and which allows tracking of clonal evolution, copy number and sample purity. Methods and Material: M3 P (v3.0) covers 88 genes (1327 amplicons, 181kb). MM samples from 504 patients (pts) have been analyzed (corresponding germline in 81%) through collaborations between Mayo Clinic and Hospital-12-de-Octubre (Madrid, Spain), the DSMM and GMMG (Würzburg, Ulm, Freiburg and Heidelberg, Germany) and the HOVON trial groups (Rotterdam, The Netherlands). The investigated cohort includes 410 untreated pts (81%), which includes a high risk cohort of 72 pts with del17p, 25 paired samples with later follow up from the same cohort, and 94 relapsed patients, of which 50 were relapsed and refractory. Results: Overall coverage per mutation averaged >500x depth. We identified 945 variants (1.9 per pt) and in 83% of the pts a mutation was found. Clonal heterogeneity was assessed with mutations ranging from 3%-100% variant reads suggesting the presence of a significant number of subclones (e.g. 21% of mutations were in < 10% of reads). The mutation incidence was compared with and closely resembles the most recent MM comprehensive genomic data from the MMRF CoMMpass study: We compare here all pts sequenced by M3 P, untreated pts sequenced by M3 P and CoMMpass: KRAS (24%/23%/24%), NRAS (20%/20%/18%), DIS3 (13%/14%/10%), BRAF (9%/7%/6%), FAM46C (6%/6%/8%) and TRAF3 (6%/6%/7%). TP53 mutation incidence, however, was significantly increased in our cohort (14%/12%/4.2%), a difference explained by the inclusion of del17p (untreated) and relapsed refractory MM in panel sequenced pts, cohorts with elevated incidences of TP53 mutations (32% / 26% respectively). Potentially actionable targets include BRAF mutationsin 43 patients (9%), with druggable p.V600E in 19 or 5%, 8 pts (2%) with FGFR3 (p.R248C and p.G375C one patient each), p.R132 mutation in 4 out of 5 IDH1 (1%) and p.R172K IDH2 mutation in 1 of 3 (1%) pts. Mutations in the MAPK pathway (NRAS, KRAS, BRAF) were detected in 59% of pts, ranging from 36% untreated MM to 72% in refractory MM. Similarly, the CRBN/CUL4B/IKZF1/IKZF3/IRF4 pathway, important for IMiD function, harbored a significant enrichment of mutations in advanced disease (6% untreated vs 17% relapsed), including CRBN mutations (0.5% vs 7%). Nine of 17 IRF4 mutations were located at the p.K123R hotspot, with minor difference between early or late disease (1% vs 3%). Notably, in 8 of 9 pts with CRBN mutation and clinical information, all were unresponsive to IMiD therapy, supporting association of these mutations with resistance to IMiDs. Conversely, M3 P genes related to other SOC therapies, including NR3C1 (targeted by steroids) and 5 proteasome subunit genes (proteasome inhibitors), were rarely mutated across the cohorts not exceeding 1% mutation incidence for each gene. Significant differences in DIS3 and FAM46C mutation incidences were observed across cohorts: DIS3 mutations are more common in untreated pts with a 1.7 fold increased predominance (14% untreated and 8% treated). FAM46C has an expected incidence of 8% but was rarely mutated in untreated del17p high risk disease with only one of 100 patients harboring both mutations. The significance of this finding needs to be determined but implies a possible overlap in function. Finally we assessed impact on survival of the mutation variants identified in 142 untreated Mayo patients and found STAT3 mutations negatively impacting PFS (p=0.034) and OS (p=0.001). This gene is rarely mutated in MM (2% of the total cohort) thus the sample size was small and this finding needs further validation. Conclusion: We here describe 504 MM patients sequenced using the M3 P gene panel, which identified mutations in >80% of investigated patients, overlaps well with published whole exome sequence data and provides clinically relevant information. New findings were the high frequency of minor clones, the relative lack of overlap of del17 and FAM46C mutation, a higher frequency of DIS3 mutation at diagnosis compared to relapse, the prognostic significance of STAT3 mutation and the frequent presence of CRBN pathway mutation in drug resistant relapsed patients. Disclosures Sonneveld: Janssen-Cilag, Celgene, Onyx, Karyopharm: Honoraria, Research Funding; novartis: Honoraria. Mai:Janssen-Cilag: Other: Travel Grant; Onyx: Other: Travel Grant; Mundipharma: Other: Travel Grant; Celgene: Other: Travel Grant. Goldschmidt:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Onyx: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millenium: Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Chugai: Honoraria, Research Funding, Speakers Bureau; Janssen-Cilag: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Knop:Celgene Corporation: Consultancy. Kull:Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees. Martinez-Lopez:Novartis: Honoraria, Research Funding; Bristol-Meyer Squibb: Honoraria; Celgene: Honoraria; Janssen: Honoraria. Einsele:Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Amgen/Onyx: Consultancy, Honoraria, Speakers Bureau. Raab:Novartis: Research Funding. Stewart:Oncospire Inc.: Equity Ownership; Celgene: Consultancy; Novartis: Consultancy; BMS: Membership on an entity's Board of Directors or advisory committees.