Citations

Abstract The ECOG-ACRIN Cancer Research Group Led Trial, E2902, was a randomized phase III North American Leukemia Intergroup trial of the Farnesyl Transferase Inhibitor , R115777(Tipifarnib), as maintenance therapy for acute myeloid leukemia (AML). Patients (pts) with AML in remission after requiring salvage therapy (primary induction failure or second or subsequent remission) or over the age of 60 in first remission were eligible. Pts were eligible if they were in a complete remission (CR) or complete remission without platelet recovery (CRp) as confirmed by bone marrow examination within 2 weeks prior to randomization. Consolidation or post remission therapy prior to enrollment was allowed but not required. Pts who had received an allogeneic transplant in this remission were ineligible. Adequate blood counts (absolute neutrophil count >= 1000/mm3 and platelet count >=50,000/mm3), and normal renal, and hepatic function were required within 2 weeks of randomization. Pts were randomized to either receive tipifarnib twice daily (BID) or to observation. Pts were stratified by remission ( CR1 vs > CR1) and whether or not they received consolidation therapy in the current remission. The main objective of this study was to compare disease free survival(DFS) in the two groups. Between August 2004 and December 2009, 144 pts were accrued to the study. The median age of the pts was 69 (range 28-86). Seventy-three pts (51%) were male and 135 pts (94%) were white. The majority of pts enrolled on the study (70%) were in first CR, and had post remission chemotherapy (56%) prior to randomization. Seventy-three pts were enrolled onto the treatment arm (Arm A) and 71 pts were enrolled onto the observation arm (Arm B). When the study was initially opened, pts on Arm A were treated with tipifarnib at a dose of 400 mg BID with dose reductions and interruptions defined per protocol for toxicity. After the first planned interim analysis, based on toxicity data, the ECOG Data Monitoring Committee recommended that the starting dose be decreased to 300 mg BID. While non-hematologic toxicity was acceptable, significant hematologic toxicity was seen in pts treated at an initial dose of either 400 mg or 300 mg BID. Of note, hematologic toxicity was also seen on the observation arm although less frequently than with both treatment doses. The primary endpoint of the study was analysis of DFS on an intent to treat basis. The median DFS for arms A and B are 8.87 months and 5.26 months respectively ( p=0.058, HR 0.760). When restricted to eligible patients only(n=134 ), the DFS for arms A and B are 10.81 vs 5.26 months, respectively ( p=0.019, HR 0.690). An unplanned subgroup analysis was performed by gender. The median DFS for male pts (n=73) is 5.36 vs 5.91 months for arms A and B respectively (p=0.868, HR 1.320) and 12.09 vs 3.91 months for female pts (n=71)(p=0.0002, HR=0.408) In a multivariate Cox proportional hazards model to adjust for baseline clinical variables, there is a significant interaction between treatment and gender. (Table 1) Similar results were noted for OS (Figure 1). ECOG ACRIN Trial E2902 evaluated the potential role of Tipifarnib ( R115777) in patients with AML in remission with a high risk of relapse. While the primary endpoint for improved DFS was not reached when evaluating all randomized pts, when restricted to eligible patients only, there is a statistically significant improvement in DFS seen. Moreover, an unplanned subgroup analysis by gender demonstrates an improvement in DFS and OS for females who were enrolled on the study which persists on multivariate analysis. Possible explanations include the use of flat dosing rather than BSA based dosing on this study. However futher evaluation of patient and disease characteristics, dosing and toxicity profiles of responders and nonresponders is needed. Given what appears to be a potentially clinically relevant benefit, further evaluation of this agent is warranted. Table 1. Multivariate Cox Proportional Hazards Model for DFS: All Randomized Patients Hazard Ratio (95% CI) P value Arm B vs A 2.559(1.547,4.236) 0.00025 Male vs Female 2.005(1.228,3.274) 0.00544 CR1 vs >CR1 0.447 (0.305,0.656) 0.00004 Figure 1. (A) DFS (B) OS in Female Patients Figure 1. (A) DFS (B) OS in Female Patients Disclosures Rowe: BioSight Ltd.: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy; BioLineRx Ltd.: Consultancy. Larson:Astellas: Consultancy, Research Funding.

Abstract Background: Treatment of multiple myeloma has evolved considerably in the past few years with availability of several news drugs as well as increasing use of multidrug combinations. These changes have no doubt led to the improved survival seen among patients with MM. We have previously shown that outcomes of patients intolerant or refractory to one of the IMiDs and bortezomib had a poor outcome. Since that time, other drugs of the same class as well as new classes of drugs have been introduced for the treatment of MM. We designed this retrospective study to estimate the outcomes in patients with relapsed myeloma, who have become refractory to the current generation IMiDs and proteasome inhibitors. Patients and Methods: Patients with relapsed multiple myeloma who have received at least 3 prior lines of therapy, is refractory to both an IMiD (lenalidomide or pomalidomide) AND a proteasome inhibitor (bortezomib or carfilzomib), and has been exposed to an alkylating agent were identified from multiple centers. The time patients met the above criteria was defined as T0, and details of all treatment regimens before and after T0 were collected using electronic CRFs. The study was approved by the IRB at the respective centers. Results: 543 patients were enrolled in this study; median age was 62 years (31-87) and 61% were males. Patients were enrolled from centers in North America (n=181), Europe (n=318), and Asia Pacific (n=44). Patients were diagnosed between 2006 and 2014, the median duration between diagnosis of myeloma and study entry (T0) was 3.1 years (0.3 to 9). The median (95% CI) estimated follow up from diagnosis and from T0 were 61 (57, 66) months and 13 (11, 15) months respectively. The median number of lines of therapy prior to T0 was 4 (3-13), 48% had a prior transplant. The median OS from T0 for the entire cohort was 13 (11, 15) months. For these 462 patients, the median number of recorded regimens was 2 (1-9). The overall response and the depth of response to each line of treatment following T0 are as shown in the table. The median (95% CI) PFS and OS from T0 was 5 (4, 6), and 15.2 (13, 17), respectively. The overall survival for the 81 patients with no treatment post T0 was only 2.1 months. In a multivariate analysis, duration from diagnosis to T0, ISS stage III and number of lines of therapy were all associated with inferior PFS, as well as OS, and in addition, serum creatinine>2 mg/dL at T0 also predicted inferior OS. Conclusions: The study provides the expected outcome following development of myeloma that is refractory to a PI and an IMiD. The outcomes of these patients appear to be better than we had seen historically in patients refractory/ intolerant to bortezomib and IMiDs, highlighting the increased treatment options available for these patients. However, there is decreasing response rate to sequential regimens highlighting the development of drug resistance. The data provides a bench mark for comparison of new therapies that are being evaluated in this disease. Table Table. Disclosures Dimopoulos: Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: 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; Genesis: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Kastritis:Takeda: Consultancy, Honoraria; Genesis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Terpos:BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: Travel expenses, Research Funding; Celgene: Honoraria; Takeda: Consultancy, Honoraria; Genesis: Consultancy, Honoraria, Other: Travel expenses; Amgen: Consultancy, Honoraria, Other: Travel expenses, Research Funding; Novartis: Honoraria. Hillengass:Sanofi: Research Funding; Novartis: Research Funding; Amgen: Consultancy, Honoraria; BMS: Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria. Leleu:TEVA: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; LeoPharma: Honoraria; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria; Pierre Fabre: Honoraria; Celgene: Honoraria; Novartis: Honoraria; Takeda: Honoraria. Oriol:Janssen: Honoraria, Other: Expert board committee; Amgen: Honoraria, Other: Expert board committee. Cavo:Celgene: Consultancy, Honoraria; Millennium: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Janssen-Cilag: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Mateos:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Vij:Shire: Consultancy; Takeda: Consultancy, Research Funding; Jazz: Consultancy; Karyopharma: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Celgene: Consultancy; Bristol-Myers Squibb: Consultancy; Amgen: Consultancy, Research Funding. Lokhorst:Genmab: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. van de Donk:Amgen: Research Funding; Janssen: Research Funding; BMS: Research Funding; Celgene: Research Funding. Mark:Onyx: Research Funding, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Ludwig:Amgen: Research Funding, Speakers Bureau; Takeda: Research Funding, Speakers Bureau; BMS: Speakers Bureau; Janssen: Speakers Bureau. Jagannath:Novartis: Consultancy; Janssen: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Merck: Consultancy. Usmani:Array: Research Funding; Britsol-Myers Squibb: Consultancy, Research Funding; Skyline: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BioPharma: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Onyx: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Consultancy, Research Funding, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Speakers Bureau. Dytfeld:Janssen Poland: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees. Moreau:Novartis: Honoraria; Amgen: Honoraria; Celgene: Honoraria; Bristol-Myers Squibb: Honoraria; Takeda: Honoraria; Janssen: Honoraria, Speakers Bureau. Lee:Amgen: Membership on an entity's Board of Directors or advisory committees. Shustik:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millenium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. de la Rubia:Celgene: Consultancy; Bristol Myers: Consultancy; Amgen,: Consultancy; Janssen: Consultancy. Durie:Takeda: Consultancy; Amgen: Consultancy; Janssen: Consultancy.

Abstract Sequencing studies have significantly improved our understanding of the CLL genetic landscape and allowed the identification of the first associations between specific mutations and clinical outcome. Hence, mutations in TP53, NOTCH1, SF3B1, BIRC3 and MYD88 are known to be associated with differential prognosis and have been incorporated in CLL risk stratification models. Despite the work performed on these 5 genes, several additional putative tumor-driver genes are recurrently mutated in CLL, but their clinical impact remains unclear. In order to gain further understanding, we performed targeted sequencing in baseline samples of 308 CLL patients (pts) participating in the North American Intergroup study (NAIG) designated as E1912 and led by ECOG. This trial is a randomized Phase III of Ibrutinib (Ibr) and Rituximab (R) vs FCR in previously untreated CLL. Besides the 5 genes aforementioned, we screened another 19 genes recurrently mutated in CLL, and 2 genes (BTK and PLCy2) recently associated with Ibr resistance. The CD5+/CD19+ B lymphocyte population of these pts was flow-sorted. All coding regions were amplified using customized oligos. Libraries were templated and enriched using IonOneTouch2 and IonOneTouch ES systems, respectively. Samples were run on an IonTorrent sequencer using 318TM chips. Variants were called using IonTorrent Somatic VariantCaller. VCF files were annotated using BioR, which provides annotation from NCBI/Ensembl, UCSC, dbSNP, HapMap, 1000Genomes, COSMIC, SIFT, and PolyPhen-2. Somatic variants with a Mapping Quality <20 or read depth <5X were removed. Variants of interest were inspected using Integrative Genomics Viewer. The mutational status of genes and pathways was analyzed for association with chromosomal abnormalities detected by FISH, expression of CD38, CD49d and ZAP70, Rai stage, age and gender. We were not able to evaluate associations to clinical responses for the different arms as this trial is still underway and remains blinded for clinical outcome. We found 511 SNVs (442 missense, 45 nonsense and 24 splice sites) and 115 indels. An average coverage of 770X depth was obtained, allowing the detection of minor subclonal mutations (<10% of reads) in almost 35% (218/626 mutations). Overall, 215 pts (70%) carried at least one mutated gene, 102 (33%) carried 2 or more and 32 (10%) 3 or more mutated genes. The most commonly mutated gene was SF3B1 (22%), followed by NOTCH1 (19%), ATM (12%), XPO1 (11%), BIRC3 (9%), KRAS (7%), BRAF, DDX3X, EGR2, POT1 and TP53 (6% each). No BTK or PLCy2 mutations were found in progressive but untreated CLLs. In contrast to a recent report (Nature 2015;526:525-30), we found BRAF mutations located in the canonical hotspot p.V600E (25% of total mutations). Another 13% were located in amino acid K601 (p.K601E/N) and the remaining in the kinase domain (p.G469A, p.D594G, p.F595L, p.G596R, p.L597Q).Nearly 27% of cases with activating mutations in the RAS pathway (BRAF, KRAS, NRAS), showed >1 mutation affecting one or more genes of the pathway. Similar observations were found in mutational hotspots of BIRC3 (30% of mutated cases showed >1 mutation), MED12 (18%), SF3B1 (7%), XPO1 (6%), and NOTCH1 (5%), suggesting the existence of genetic subclones showing convergent evolution in a substantial number of CLL. We found multiple associations between mutations and known prognostic and clinical parameters. These included mutations in NOTCH1 associated with +12 (p=0.005), and expression of ZAP70 (p=0.01), CD38 (p=0.001) and CD49d (p=0.004). Mutant BIRC3 was associated with +12 (p<0.001) and CD38 expression (p=0.01). Mutations in RAS pathway, with +12 (<0.001), and expression of CD38 (p=0.002) and CD49d (p=0.05). ATM (p=0.007) and EGR2 (p=0.002) with -11q; POT1 with CD49d expression (p=0.01), and MYD88 with -13q (p=0.04) and lack of CD38 (p=0.01) and CD49d (p=0.01) expression. This study, performed on a large cohort of untreated but progressive CLLs, provides novel data about the mutation status of driver genes and their associations with clinical and prognostic parameters. Our data indicate that convergent evolution is a common event in CLL, affecting several driver genes. Furthermore, it reinforces that BTK and PLCy2 mutations are not found in Ibr-naive pts. Finally, this study provides the genetic groundwork for subsequent prospective comparative analyses of the clinical outcome for CLL cohorts treated with Ibr-R vs FCR in this phase 3 NAIG trial. Disclosures O'Brien: Janssen: Consultancy, Honoraria; Pharmacyclics, LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding. Fonseca:Novartis: Consultancy; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Novartis: Consultancy; Janssen: Consultancy; BMS: Consultancy; AMGEN: Consultancy; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; AMGEN: Consultancy; Millennium, a Takeda Company: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Sanofi: Consultancy; Celgene: Consultancy; Celgene: Consultancy; Bayer: Consultancy; Janssen: Consultancy; Millennium, a Takeda Company: Consultancy; Millennium, a Takeda Company: Consultancy; AMGEN: Consultancy; AMGEN: Consultancy; Bayer: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Millennium, a Takeda Company: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms. Shanafelt:Genentech: Research Funding; Pharmacyclics: Research Funding; Celgene: Research Funding; GlaxoSmithkKine: Research Funding; Janssen: Research Funding; Cephalon: Research Funding; Hospira: Research Funding.

Abstract Next-generation sequencing (NGS) has revealed new insight into the complexity of clonal and subclonal architecture of multiple myeloma (MM). The introduction of targeted studies allows the detection of mutations with very low allele frequencies at affordable price. However, there is few information about the prognostic impact of this mutational profile in series of homogeneously treated MM patients. In this study, we analyzed the most frequently mutated genes in MM from patients included in a randomized clinical trial applying the highest read depth to date. We performed a correlation study between our results and cytogenetics aberrations and clinical outcomes. We used Ampliseq Library Kit 2.0 to target 77 genes (M3Pv2.0 panel) related to critical pathophysiological pathways, associated to drug resistance or targetable with molecular drugs in MM. We sequenced DNA (15ng) from CD138+ purified plasma cells from 80 MM patients at diagnosis included in GEM2010MAS65 clinical trial. We sequenced at an average read depth of 1500X and using Ion Proton sequencer (Thermo Fisher, USA, PaloAlto, CA). We used Ion Reporter software applying in-house modifications in call variants process. We also sequenced DNA from CD138 negative population in 30% of patients in order to filter out potential artifacts and stablish conditions for excluding germline variants. We first fitted a cox-proportional hazard model to predict survival and a second approach using a penalized regression LASSO. We identified 137 gene mutations in the 80 patients analyzed, 54 mutations were predicted pathogenic by Shif and Poliphen and 65 have been described in COSMIC database. 85% of patients harbored at least 1 mutation. The most frequently mutated genes were KRAS (16%), DIS3 (15%), NRAS (13%), BRAF (6%), and TP53 (5%), accounting for the 54% of the total number of mutations. The most frequently mutated pathways were RAS and NFKB in 34% and 28% of patients respectively. Mutational allele frequency for KRAS, BRAF and TP53 was, in all cases, lower than 50% while DIS3 showed mutations in a broad range (from 2 to 85%). Only one patient presented one mutation in NRAS at 73 % of allele frequency. For patients with more than one mutation, two different scenarios have been found. Some patients showed several genes mutated in a similar allele frequency values. On the contrary, a complex subclonal structure was confirmed in 3 patients, with mutations at very different clonal frequency. CD138 negative fraction was sequenced to confirm that these mutations were exclusive of plasma cells. The first of them had two mutations in DIS3 at 8 and 53% of allele frequency, second in KRAS and DIS3 at 13 and 63% respectively and the third in NRAS and IFNGR2 at 5 and 37% respectively. We found no differences in the survival based on pathway, mutational allele frequency or number of mutations. We also investigated pairwise associations between events and we not found significant correlations (Figure 1). Cox-proportional hazard model only showed a negative impact in survival of patients with TP53 mutations. This ultra-deep targeted sequencing strategy is able to detect mutations in most of patients, at very low allele frequency and using a minimal amount of DNA. Despite of its huge capacity to detect mutations, we have not identified new prognostic factors in MM patients treated with highly efficient therapies. However, this study again confirms the complexity of the genomic landscape of MM and the great heterogeneity between patients. The role of theses mutations at relapse as well as in the subsequent treatment effectiveness remains unknown and should be preferably investigated in larger cohorts of homogeneously treated MM patients. Figure 1 Figure 1. Disclosures Martínez-López: Novartis: Honoraria, Speakers Bureau. Oriol:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Stewart:celgene: Consultancy.

Abstract Background: Myeloproliferative neoplasms (MPN) including polycythemia vera (PV), essential thrombocythemia (ET), and myelofibrosis (MF) are clonal hemopathies characterized by burdensome symptom profiles and impaired quality of life. Few studies have evaluated patient-reported outcomes during treatment with non-experimental pharmacological regimens. Aims: The Myeloproliferative Neoplasm Quality of Life (MPN-QOL) Study Group aims to objectively quantify MPN symptom severity, frequency and quality of life at baseline and throughout treatment with non-experimental therapies utilizing the Myeloproliferative Neoplasm Symptom Assessment Form - Total Symptom Score (MPN-SAF TSS; JCO 2012). In this abstract, we provide updated results for the prospective international cohort trial currently in active enrollment: the MPN Experimental Assessment of Symptoms by Utilizing Repetitive Evaluation (MEASURE) trial. Methods: This study aims to recruit 180 international ET, PV, and MF (including primary MF and post-ET or post-PV MF) patients receiving non-experimental medical therapy and/or phlebotomy. Patients complete the MPN-SAF for seven consecutive days at enrollment and repeat the survey for an additional seven consecutive days between 90 days and six months. Patients also complete the European Organisation for Research and Treatment of Cancer (EORTC) and M.D. Anderson Symptom Inventory (MDASI) instruments at enrollment and on the first day of the second assessment. At visits, physicians acquired demographic, laboratory, physical examination, and radiographic data. Descriptive statistics were used to summarize data. Results: Clinical Data The MEASURE trial opened for enrollment in 2012 and remains in recruitment phase with 15 participating international sites. To date, 39 patients have been enrolled and 25 have completed both study visits. Participants include ET (28%), PV (24%), and MF (48%; 50% primary MF, 8% post-ET, 42% post-PV) patients. The majority of patients are male (64%) and of expected age (mean 69.3, range 39-89) for the disorders. Seventeen percent had prior thrombosis, 9% required red blood cell transfusion, and none reported prior splenectomy or hemorrhage. Mean hematologic measures included hemoglobin 13.2 g/dL, WBC count 11.4 x109/L, ANC 8.5 x109/L, and platelets 514 x109/L. Therapies received prior to enrollment included aspirin (n=16), hydroxyurea (n=11), phlebotomy (n=8), warfarin/clopidogrel/anticoagulation (n=8), erythropoietin (n=2), and interferon (n=1). The most common current MPN therapies were hydroxyurea (n=9), aspirin (n=9), interferon (n=4), and phlebotomy (n=2). Symptom Assessment In comparing MPN-SAF TSS mean symptom scores, all symptoms except bony pain improved between the first and second visits, including fatigue, early satiety, abdominal discomfort, inactivity, concentration, night sweats, itching, fever, weight loss, and overall quality of life (Figure1). Total MPN-SAF TSS scores improved from a mean of 32.3 to 25.9. On the EORTC, mean scores for physical, role, emotional, and social functioning improved from the first to the second visit (Figure 2). Cognitive functioning showed a slight decline. Global health status measure improved from 60.2 to 72.9. On the MDASI, symptom severity scores decreased from 3.6 to 2.8 from the first to second visit (Figure 3). Symptom distress measure decreased from 4.1 to 3.0. Discussion: Interim results from the MEASURE trial demonstrate that standard, non-experimental treatment regimens offer improvement in quality of life-related symptoms on multiple patient-reported survey instruments including the MPN-SAF TSS, EORTC QLQ-C30, and MDASI. Updated data including symptom correlations and mutational analysis to be presented at the 2016 ASH conference. Disclosures Ross: Novartis Pharmaceuticals: Honoraria, Research Funding; BMS: Honoraria. Radia:Novartis: Honoraria; Pfizer: Honoraria. McMullin:Novartis: Honoraria, Speakers Bureau. Cargo:Novartis: Honoraria; Celgene: Honoraria, Research Funding. Sekhar:Novartis: Research Funding. Mesa:Gilead: Research Funding; CTI Biopharma: Research Funding; Galena: Consultancy; Ariad: Consultancy; Incyte: Research Funding; Novartis: Consultancy; Celgene: Research Funding; Promedior: Research Funding.

Abstract A genetic rearrangement of the MYC locus, resulting in dysregulated expression of MYC, is the most common mutation in human multiple myeloma (MM). The genetically engineered Vk*MYC mouse model is based on dysregulation of MYC, and has been extensively validated as a clinically and biologically faithful model of untreated MM. We previously reported 9 drugs or classes of drugs (DNA alkylators, glucocorticoids, proteasome inhibitors, IMiDs, nab-paclitaxel, histone deacetylase inhibitors, TACI-Ig, perifosine and SNS-032, a CDK2,7,9 inhibitor) with more than 20% partial response (PR) rate in Vk*MYC MM. Among those, the first 5 also have more than 20% PR in patients with MM for a positive predictive value of 56%. Although the HDACi did not show single agent activity in relapsed/refractory MM patients, the PANORAMA phase 3 study of panobinostat in combination with bor+dex has shown superior PFS compared to bor+dex, suggesting the possibility that HDACi may have shown single agent activity if tested in a less advanced clinical setting. In contrast, 11/12 drugs that have less than 20% PR in Vk*MYC MM also have less than 20% PR in patients with MM for a NPV of 92%. Confident that drugs with activity in Vk*MYC mice will likely be effective in the treatment of MM, we have used this model to study novel drugs for prioritization in clinical trials. Pim kinases are constitutively active serine/threonine kinases identified using retroviral mutagenesis as potent suppressors of MYC induced apoptosis and can be inhibited by the pan-PIM kinase inhibitor LGH447. KPT-276 is a selective inhibitor of nuclear export CRM1/XPO1 inhibitor. Both drugs are active in Vk*MYC MM and are showing early evidence of promising clinical activity, increasing the PPV of the Vk*MYC model of MM to 64% (or 73% if HDACi are considered clinically active). Also active in the Vk*MYC model were the bromodomain inhibitors GSK I-BET151, CPI-203, CPI-456, OTX-015, which, like JQ1, compete with acetylated histones for the binding to BRD4, inhibiting super-enhancer activity and MYC transcription. The histone methyltransferase enhancer of Zeste homolog 2 (EZH2) induces transcriptional repression through histone H3 lysine 27 trimethylation (H3K27me3) at the promoter of silenced genes. Activating mutations in the SET domain of EZH2 are prevalent in germinal center DLBCL and follicular lymphoma but have not been identified in MM, where the frequent dysregulation of MMSET by t(4;14) translocation or biallelic deletion of UTX are thought to play a tumorigenic role equivalent to EZH2 activation. EZH2 inhibitors have demonstrated activity against lymphoma with EZH2 activating mutations. Interestingly, we found the EZH2 inhibitor CPI-169 active against Vk*MYC MM, identifying EZH2 as a promising new epigenetic target in MM. EDO-S101 is a novel drug resulting from the fusion of a molecule of bendamustine with a molecule of vorinostat, with the aim of increasing the efficacy of the alkylator through the HDACi-mediated chromatin relaxation that would make DNA more accessible to the damaging effect of bendamustine. It induced a high rate of response in Vk*MYC MM that was sustained for more than 3 months in mice receiving only 2 doses, one week apart. Remarkably EDO-S101 is the only drug we have identified with single agent activity in the very aggressive, multi-drug resistant Vk12653 transplant model of relapsed/refractory MM. Finally, 2 agents (anti-murine PD-L1 and LCL161) that primarily modulate the immune microenvironment, with little to no direct anti-MM activity, also induced responses. Anti-PD-L1 blocks immunosuppressive signaling from MM cells to PD1 on T cells. LCL161 is an IAP antagonist that leads to constitutive activation of the alternative NFkB pathway with direct stimulation of the innate and adaptive immune systems. Although antibodies to CD38 are among the most exciting new agents for the treatment of MM, they cannot be evaluated in Vk*MYC MM since murine normal or malignant plasma cells do not express CD38. In contrast while SLAMF7 is expressed in Vk*MYC MM, there is no murine equivalent of elotuzumab. In summary, we report 7 new drugs with single agent activity in Vk*MYC MM, nearly doubling the number of drugs or classes of drugs with promising anti-MM activity. Two (LGH447 and KPT-330) are already beginning to demonstrate clinical efficacy in MM. All of these agents should be prioritized for rapid evaluation in clinical trials of patients with MM. Disclosures Bergsagel: Novartis: Research Funding; Constellation Pharmaceutical: Research Funding; OncoEthix: Research Funding; MundiPharma: Research Funding.

Abstract Multiple myeloma (MM) is 2-3 times more common among African-Americans compared to non-Hispanic whites. The 2-3-fold increased risk among family members of cases suggests a genetic contribution to risk. Genome-wide association studies (GWAS) in populations of European ancestry have identified seven novel risk loci at 2p23.3 (rs6746082), 3q26.2 (rs10936599), 3p22.1 (rs1052501), 6p21.32 (rs2285803), 7p15.3 (rs4487645), 17p11.2 (rs4273077) and 22q13.1 (rs877529) (Broderick, et al. Nat Genet, 2011, Chubb, et al. Nat Genet, 2013), three of which were replicated in another European series (Martino et al., Br J Haematol, 2012). Here we examined the index signals and conducted fine-mapping for each locus in a case-control study of 1,049 multiple myeloma cases and 7,084 controls of African ancestry to identify better markers of risk and novel independent loci in seven previously reported regions in this high risk population. Incident cases were recruited from 10 clinical centers and SEER cancer registries from 2011 to 2013 and genotyped using the Illumina HumanCore GWAS array. Control data were obtained from previous genome-wide studies of breast and prostate cancer, genotyped using the Illumina 1M-Duo in 4425 male controls from the African Ancestry Prostate Cancer Consortium (consisting of 14 independent studies) and 2632 female controls from a breast cancer GWAS of African-American women (consisting of 9 independent studies). Imputation to 1000 Genomes (March 2012 release) was conducted for regions around six of the previously identified single nucleotide polymorphisms [SNPs] (the HLA region harboring rs2285803 is still being imputed, results will be presented). A case-control analysis of SNPs/indels >1% frequency within 250 kb of each index variant was conducted using unconditional multivariable logistic regression adjusting for age, sex and five leading principal components. Region-specific alpha levels were determined through permutation tests. The minimum alpha level across the six regions was α=0.002. All previously reported risk variants were common in African-Americans (minor allele frequency [MAF] >0.05). For five of the six SNPs, we had ≥94% power to detect the same effect observed in non-Hispanic whites, and 64% power for the less common variant rs10936599 (MAF=0.07). We observed directionally consistent effects (odds ratio [OR]>1) for the six risk variants tested, with three replicating at p≤0.05 (7p15.3, p=1.4x10-7; 17p11.2, p=0.05; 22q13.1, p=0.02). For three of the six regions, we observed better markers of risk in African-Americans that were correlated with the index SNP in Europeans (7p15.3, rs56333627, p=1.5x10-5, r2=0.89; 17p11.2, rs34562254, p=2.9x10-3, r2=0.90; 22q13.1, rs2092410, p=1.1x10-4 r2=.71). The missense variant identified in the 17p11.2 region (rs34562254, Pro251Leu) is located in TNFRSF13B, which encodes the protein TACI, a B cell surface receptor which plays a role in B cell maturation, apoptosis and antibody production by inducing activation of transcription factors including NFAT and NFκβ. In addition, there is evidence suggesting that TACI is involved in MM pathogenesis. Our results demonstrate that many of the risk loci for MM found in European ancestry populations are also risk loci in men and women of African ancestry and that by fine-mapping, we are able to identify variants that better capture risk in populations of African ancestry. Disclosures Terebelo: Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Lonial:Millennium: The Takeda Oncology Company: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding.

Abstract Abstract 573 Using high throughput RNA interference screening on 6,722 druggable genes we previously identified XPO1/CRM1 as one of the 50 most vulnerable targets in Multiple Myeloma (MM)1. XPO1 knockdown proved lethal in MM cell lines, but had no effect on human embryonic kidney (293) cells or lung cancer (A549) cells, showing that XPO1 is a specific myeloma vulnerability, and that myeloma cell survival is dependent upon XPO1 expression. XPO1 encodes the protein exportin 1, a nuclear transport protein that exports tumor suppressor proteins from the nucleus, where they are active, to the cytoplasm, where they become inactive. We next analyzed XPO1 in MM via gene expression profiling (GEP). XPO1 expression is up-regulated as the disease progresses: patients with active MM have a higher level of XPO1 compared to normal plasma cells (p<0.04) and to patients with monoclonal gammopathy of undetermined significance or smoldering MM (p<0.0001). The highest levels were in human MM cell lines. TC classification revealed highest levels in t(11;14) and lowest levels in t(4;14) disease. Selective inhibitors of nuclear export (SINE) compounds have recently been developed that irreversibly inhibit XPO1/CRM1 and its nuclear export function. One such inhibitor, KPT-276, decreased the viability of all 12 MM cell lines tested in vitro, as shown by MTT assay. After 72 hours of drug treatment, a median IC50 value of approximately 175 nM (range 30–1000 nM) was observed. No synergy with other commonly used anti-MM therapeutics was observed in vitro. In contrast, the drug had little effect in 8 solid tumor cell lines with the exception of the B cell lymphoma line Ramos. KPT-276 was also consistently active in inducing apoptosis against MM primary patient samples. Using an IC80 dose of KPT-276, drug-treated samples had a reduced population of cells in S phase (8%) compared to cells treated with DMSO (21%). Using the vkappa*myc transgenic MM model, KPT-276 reduced monoclonal spikes (by a mean of 56%) in all mice treated orally with 150 mg/kg dose three times per week for 4 weeks. Furthermore, KPT-276 significantly reduced tumor growth in a xenograft MM1.S mouse model. GEP was performed in the presence or absence of drug in two different MM cell lines. Two genes of probable relevance, cell division cycle 25 homolog A (CDC25A) and Bromodomain-containing protein 4 (BRD4), were dysregulated by SINE treatment. Both are involved in cell cycle control and have been linked to MYC. RT-PCR and western blotting confirm that MYC, CDC25A and BRD4 are down-regulated, as soon as six hours, after treatment with KPT-276. KPT-276 has shown marked anticancer activities against B cell malignancies in vitro and is active and tolerated in Phase I canine studies. KPT-330, a close analog of KPT-276, is currently in Phase 1 studies in human with advanced hematological and solid tumors. Disclosures: Schmidt: Karyopharm: Research Funding. McCauley:Karyopharm Therapeutics Inc: Employment. Shacham:Karyopharm Therapeutics: Employment. Kauffman:Karyopharm Therapeutics Inc: Employment. Stewart:Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy.

Abstract BACKGROUND: Chronic lymphocytic leukemia (CLL) is one of the most common lymphoid malignancies, accounting for ~11% of all hematologic neoplasms. Over the last 15 years, a series of phase 3 trials have established that chemoimmunotherapy (CIT) with fludarabine, cyclophosphamide, and rituximab (FCR) improves both progression free survival (PFS) and overall survival (OS) compared with chemotherapy alone. FCR is the gold standard for young fit patients with treatment naïve CLL. In parallel with the advances in CIT, a profound increase in the understanding of CLL B-cell biology led to new therapeutic approaches.1 Among these, ibrutinib (an irreversible inhibitor of Bruton's Tyrosine Kinase [BTK]) has had the largest impact on clinical practice to date. Initial trials of ibrutinib demonstrated robust and durable efficacy in patients with relapsed/refractory disease. Subsequent phase 3 trials showed improved PFS and OS with ibrutinib relative to chlorambucil in previously untreated, older CLL patients. Despite these advances, the efficacy of ibrutinib as a first-line treatment for younger CLL patients (i.e. <70) relative to the most efficacious CIT regimens, such as FCR, is unknown. METHODS: Eligible patients were treatment-naive individuals with CLL who were age <70 and required therapy. Patients with deletion 17p- were excluded from participating given the poor response of these patients to FCR therapy. Participants were randomly assigned in a 2:1 ratio to receive ibrutinib (420 mg/day until disease progression) and rituximab (50 mg/m2 on day 1 of cycle 2; 325 mg/m2 on day 2 of cycle 2; 500 mg/m2 on day 1 of cycles 3-7) or six courses of intravenous fludarabine (25 mg/m2 ) and cyclophosphamide (250 mg/m2) days 1-3 with rituximab (50 mg/m2 on day 1 of cycle 1; 325 mg/m2 on day 2 of cycle 1; 500 mg/m2 on day 1 of cycles 2-6) every 28-days. The planned accrual was 519 patients. Hematologic toxicity was graded according to the 2008 IWCLL Working Group scale. All other adverse events were graded according to the NCI Common Toxicity Criteria (version 4). The primary endpoint was PFS with a secondary endpoint of overall survival (OS). Analysis was by intention to treat. The first planed interim analysis for PFS was scheduled to occur 24-27 months after full accrual with the first interim analysis for OS scheduled to occur if the boundary for PFS was crossed. The primary analysis was a stratified logrank test applied to all patients as randomized. Treatment effect p-values are one-sided. The study was approved by the Central Institutional Review Board for the National Cancer Institute, conducted in accordance with the principles of the Declaration of Helsinki, and registered with ClinicalTrials.gov (NCT02048813). RESULTS: A total of 529 patients were accrued between January 31, 2014 and June 9, 2016. 354 patients were assigned to ibrutinib and rituximab (IR) and 175 to FCR. Nineteen patients did not start protocol therapy. The first interim analysis was performed September 2018. With median follow-up of 33.4 months, we observed 77 PFS events and 14 deaths. The hazard ratio (HR) for PFS favored IR over FCR (HR=0.352; 95% CI 0.223-0.558; p<0.0001) which crossed the pre specified boundary. The HR for OS also favored the IR arm (HR=0.168, 95% CI 0.053-0.538; p=0.0003, pre-specified boundary for superiority p=0.0005). Kaplan-Meier estimates for PFS and OS are shown in Figure 1A and 1B. In subgroup analysis for PFS, IR was superior to FCR independent of age, sex, performance status, disease stage or the presence/absence of del11q23. With current follow-up, IR was also superior to FCR for IGHV unmutated patients (HR=0.262; 95% CI 0.137-0.498; p<0.0001) but not IGHV mutated patients (HR=0.435; 95% CI 0.140-0.1350; p=0.07). Grade 3 and 4 treatment-related adverse events were observed in 58% of IR and 72% of FCR treated patients (p=0.0042). Specifically, FCR was more frequently associated with grade 3 and 4 neutropenia (FCR: 69 [44%] of 158 vs. IR: 80 [23%] of 352; p<0·0001) and infectious complications (FCR: 28/158 [17.7%] vs. IR: 25/352 [7.1%]; p<0.0001). CONCLUSIONS: The combination of ibrutinib and rituximab provides superior PFS and OS relative to FCR for patients with previously untreated CLL age <70. These findings have immediate practice changing implications and establish ibrutinib-based therapy as the most efficacious first-line therapy for patients with CLL. Disclosures Shanafelt: Mayo Clinic: Patents & Royalties: Physician Well-being Index, Medical Student Well-being Index, Well-being index; Celgene: Research Funding; GlaxoSmithKline: Research Funding; Genentech: Research Funding; Abbvie: Research Funding; Pharmacyclics: Research Funding; Janssen: Research Funding. Kay:Janssen: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Cytomx Therapeutics: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Agios Pharm: Membership on an entity's Board of Directors or advisory committees; Infinity Pharm: Membership on an entity's Board of Directors or advisory committees. O'Brien:Amgen: Consultancy; Astellas: Consultancy; Celgene: Consultancy; GlaxoSmithKline: Consultancy; Janssen: Consultancy; Aptose Biosciences Inc.: Consultancy; Vaniam Group LLC: Consultancy; Abbvie: Consultancy; Alexion: Consultancy; Kite Pharma: Research Funding; Regeneron: Research Funding; Acerta: Research Funding; Gilead: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; TG Therapeutics: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Sunesis: Consultancy, Research Funding. Barrientos:Pharmacyclics/AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Membership on an entity's Board of Directors or advisory committees; astra Zeneca: Membership on an entity's Board of Directors or advisory committees. Erba:Seattle Genetics: Consultancy, Research Funding; Pfizer: Consultancy, Other: grant; Novartis: Consultancy, Speakers Bureau; Pfizer: Consultancy, Other: grant; Pfizer: Consultancy, Other: grant; Incyte: Consultancy, Speakers Bureau; Agios: Consultancy, Speakers Bureau; Agios: Consultancy, Speakers Bureau; Astellas: Research Funding; Janssen: Research Funding; Janssen: Research Funding; Amgen: Research Funding; Amgen: Research Funding; Novartis: Consultancy, Speakers Bureau; Astellas: Research Funding; Incyte: Consultancy, Speakers Bureau; Astellas: Research Funding; Pfizer: Consultancy, Other: grant; Novartis: Consultancy, Speakers Bureau; Juno: Research Funding; Juno: Research Funding; Novartis: Consultancy, Speakers Bureau; MacroGenics: Consultancy; MacroGenics: Consultancy; Amgen: Research Funding; Takeda/Millenium: Research Funding; Amgen: Research Funding; Takeda/Millenium: Research Funding; Seattle Genetics: Consultancy, Research Funding; Jazz: Consultancy, Speakers Bureau; Immunogen: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Jazz: Consultancy, Speakers Bureau; Seattle Genetics: Consultancy, Research Funding; Celgene: Consultancy, Speakers Bureau; Takeda/Millenium: Research Funding; Immunogen: Consultancy, Research Funding; Takeda/Millenium: Research Funding; Glycomimetics: Consultancy, Other: Chair, Data and Safety Monitoring Committee; Celgene: Consultancy, Speakers Bureau; MacroGenics: Consultancy; Daiichi Sankyo: Consultancy, Research Funding; MacroGenics: Consultancy; Glycomimetics: Consultancy, Other: Chair, Data and Safety Monitoring Committee; Daiichi Sankyo: Consultancy, Research Funding; Juno: Research Funding; Juno: Research Funding; Agios: Consultancy, Speakers Bureau; Agios: Consultancy, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Incyte: Consultancy, Speakers Bureau; Jazz: Consultancy, Speakers Bureau; Immunogen: Consultancy, Research Funding; Jazz: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Immunogen: Consultancy, Research Funding; Glycomimetics: Consultancy, Other: Chair, Data and Safety Monitoring Committee; Celgene: Consultancy, Speakers Bureau; Daiichi Sankyo: Consultancy, Research Funding; Glycomimetics: Consultancy, Other: Chair, Data and Safety Monitoring Committee; Daiichi Sankyo: Consultancy, Research Funding. Stone:Juno: Consultancy; Macrogenics: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Research Funding; FujiFilm: Consultancy; Sumitomo: Consultancy; Ono/Theradex: Consultancy; Otzuka/Astex: Consultancy; Pfizer: Consultancy; Roche: Consultancy; AbbVie: Consultancy, Research Funding; Actinium: Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Argenx: Membership on an entity's Board of Directors or advisory committees; Arog: Consultancy, Research Funding; Astellas: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Consultancy; Celator / Jazz: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Cornerstone: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Tallman:ADC Therapeutics: Research Funding; Daiichi-Sankyo: Other: Advisory board; BioSight: Other: Advisory board; AbbVie: Research Funding; Cellerant: Research Funding; AROG: Research Funding; Orsenix: Other: Advisory board.