Citations

Abstract Abstract 420 Primary central nervous system lymphoma (PCNSL) is a rare and aggressive non-Hodgkin lymphoma that is confined to the CNS because of a poorly understood neurotropism. Most of PCNSL (90%) are part of the immune-privileged site-associated DLBCL (IPDLBCL). IPDLBCL consist in late–germinal center or post–germinal center lymphoid cells but that show very distinct characteristics that separate them from systemic DLBCL. It is still a matter of debate whether the PCNSL differ from nodal DLBCL with respect to molecular features and pathogenesis and also if there is a genomic signature specific of PCNSL. Only few genetic studies have been performed in PCNSL, partly due to the rarity of the tumors and the limited amount of available tissue. To gain insight into the genomic basis of PCNSL, we performed an integrated, high-throughput, genomic analysis in 17 immunocompetent, EBV- and HIV- cases. B-cell differentiation status was characterized by immunostains for CD10, MUM-1, and BCL-6. Either frozen samples or formalin fixed embedded paraffin sections from 17 PCNSL were studied by array-based comparative genomic hybridization (aCGH) using Sureprint G3 (1 million probes) array. Massively parallel whole-exome sequencing was performed in 4 of these cases. Additionally, 2 cases were analyzed by mate-pair whole genome sequencing searching for chromosomal breakpoints. Sanger DNA sequencing was used for validation. All cases were characterized by complex genomic aberrations with a median of 21 copy-number abnormalities (CNA, range 10–49), 4 structural abnormalities, 6 frameshift indels and 99 nonsynonymous exonic mutations. Focal deletion affecting CDKN2A (9p21) was the most common CNA, found in 14 of 17 cases (82%); with 6 of these cases (35%) having homozygous deletion. The second most frequent CNA involved the HLA genes (6p21), found in 11 of 17 (65%) cases; 4 of them (23%) with homozygous deletions. We identified recurrent CNA and mutations in several genes previously found in systemic DLBCL. Thus, PRDM1 (BLIMP1) was deleted or mutated in 47% of cases and the translocation IgH-BCL6 was found in 30% of PCNSL. Furthermore, recurrent mutations were found in NF-kB genes CD79B (75%, 3 of 4 cases analyzed), MYD88 (70%, 7 of 10), TNFAIP3 (50%, 2 of 4) and CARD11 (50%, 2 of 4). Additionally, recurrent abnormalities were found in B2M, BCL7A, CD58, CIITA, ETV6, GNA13, PAX5, TMEM30A and TP53. Nevertheless, we identified several recurrent genetic alterations not described in systemic DLBCL. TOX (a regulator of T-cell development) and TBL1XR1 (a negative regulator of the NF-kB and Wnt pathways) were either deleted or mutated in 30% of PNCSL, something not previously described in systemic DLBCL. Additionally, chromosomal breakpoints either in DLGAP1 or DLGAP2 (play a role in neuronal cell signaling) were found in 18% of PCNSL but not in systemic DLBCL. Moreover, mutations in ATM (master controller of cell cycle checkpoint), BAI3 (inhibitor of brain angiogenesis), BTG2 (cell cycle arrest), KDM6B (histone demethylase), PKC family members PRKCD/PRKCDE, genes from the histone cluster, the protocadherin family and the WD repeat domain were found in 10% to 50% of PCNSL. Pathway analysis including the most commonly affected genes in PCNSL showed an enrichment of networks associated with immune response, NF-kB pathway, proliferation, regulation of the apoptosis and lymphocyte differentiation and activation. In summary, we show evidence of a highly complex genome and identified a subset of genes with potential relevance in PCNSL pathogenesis. The genomic profile described here reinforces the existence of a specific molecular signature in PCNSL, thus helping to genetically differentiate this entity from the nodal DLBCL and related lymphomas. Disclosures: Stewart: Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy. Fonseca:Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy; Binding site: Consultancy; Millenium: Consultancy; AMGEN: Consultancy; Celgene : Research Funding; Onyx: Research Funding; prognostication of MM based on genetic categorization of the disease: Prognostication of MM based on genetic categorization of the disease Patents & Royalties.

Abstract Abstract 201 Background: Pomalidomide at doses of 2 or 4 mg/d has demonstrated excellent activity in patients with relapsed multiple myeloma (MM). Between November 2007 and March 2012, we opened 6 sequential phase 2 trials and treated 345 patients with relapsed MM with pomalidomide at differing doses with weekly dexamethasone (Pom/dex). Results of 164 of these patients have been previously published. Here we describe long term follow up of these patients as well as results of an additional 181 patients with relapsed MM treated with the Pom/dex regimen. Methods: The six cohorts consisted of: Cohort 1 (N=60): relapsed MM with 1–3 prior regimens, 2 mg dose; Cohort 2 (N=34): lenalidomide (LEN) refractory, 2 mg dose; Cohort 3 (N=35): BZ)/LEN refractory, 2 mg dose; Cohort 4 (N=35): BZ/LEN refractory, 4 mg dose; Cohort 5 (N=60) LEN refractory, 1–3 prior regimens, 4 mg dose; and Cohort 6 (N=120) LEN refractory, 4 mg dose. Pomalidomide was given orally 2 mg daily or 4mg daily on days 1–28(cohorts 1–5) or 1–21 (cohort 6) of a 28-day cycle with oral dexamethasone given 40 mg daily on days 1, 8, 15 and 22. Response was assessed by the International Myeloma Working Group Uniform Response criteria. All patients received aspirin 325 mg daily for deep venous thrombosis (VTE) prophylaxis or full dose anticoagulation. Results: A total of 345 patients were enrolled across all 6 cohorts. One patient was ineligible and excluded from analysis. The median age was 64 years (32–88). The median time since diagnosis was 53 months. The median number of prior therapies was 3 (1–14). 147 (44%) had high-risk molecular markers by mSMART criteria. Prior therapies consisted of thalidomide 52%, lenalidomide 87%, bortezomib 75%, autologous stem cell transplant 70% and allogeneic transplant 3%. The median follow-up is 10.4 months (5.4–34 months). Sixty-seven percent are alive and 32% remain progression free. 46 patients are continuing to receive treatment. The most common toxicities (grade 3 or higher) were neutropenia (31%), anemia (16%), thrombocytopenia (12%), pneumonia (8%) and fatigue (8%). VTE was seen in 10 patients (3%). Outcomes are shown in Table 1. Across all 6 cohorts confirmed responses of partial response (PR) or better were seen in 34%. The response rate in all patients with mSMART high risk status was 30.6%. Responses and duration of response (DOR) in those with high risk molecular markers include: 17p– 19 of 56 (34%) DOR 8.2 months; t(4;14) 6 of 24 (25%) and DOR 4.8 months; t(14;16) 7 of 11(64%) and DOR 9.5 months; deletion 13 by cytogenetics 13 of 37 (35%) with DOR 8.2 months. In a multivariate analysis, only LDH > ULN, number of prior regimens, and prior BZ therapy were predictive of a shorter TTP and factors associated with a poor OS following initiation of pomalidomide therapy included B2M > 5.5, LDH > ULN,number of prior regimens, and prior BZ therapy. Conclusions: Pom/dex is active and well tolerated even in heavily pretreated patients and those with high risk molecular markers. Remissions are durable. Response rates and toxicity are similar between the 2 mg and 4 mg doses. Disclosures: Lacy: Celgene: Research Funding. Stewart:Celgene: Consultancy, Honoraria. Reeder:Celgene: Mayo Clinic receives funding from Celgene to support clinical trials Other, Research Funding.

Abstract Abstract 1845 Poster Board I-871 Background: Proteasome inhibition is an effective strategy for the treatment of multiple myeloma. In patients, proteasome inhibition has primarily been measured in peripheral blood samples (whole blood or mononuclear cells). However, it is unknown whether myeloma cells in the bone marrow (BM) are equally sensitive to proteasome inhibitors such as bortezomib (BTZ) and carfilzomib (CFZ). Aim: To measure proteasome inhibition in purified tumor cells from BM samples taken from patients enrolled in two ongoing Phase 2 trials of single agent CFZ in relapsed or refractory myeloma: PX-171-003 (003) and PX-171-004 (004). Methods: CFZ was administered as an IV bolus of 20 mg/m2 on Days 1, 2, 8, 9, 15 and 16 of a 28-day cycle on both trials. Bone marrow samples, from an optional sub-study of both trials, were taken during screening and Day 2 (post-treatment) and sorted into CD138+ and CD138− cells. Proteasome activity was measured by an enzymatic assay using a fluorogenic substrate (LLVY-AMC) for the chymotrypsin-like (CT-L) activity and an active site ELISA (ProCISE) to quantitate levels of the CT-L subunits of the constitutive proteasome (Beta5) and immunoproteasome (LMP7) and the immunoproteasome subunit MECL1. Results: Whole blood samples from patients treated with CFZ showed inhibition of CT-L activity of ∼80+, similar to values obtained in Phase 1 studies. A total of 10 CD138+ screening samples, 6 from 004 and 4 from 003, and 9 post-dose samples, 5 from 004 and 4 from 003, were analyzed for proteasome levels and activity. In addition, 15 CD138−screening samples, 7 from 004 and 8 from 003, and 9 post-dose samples, 5 from 004 and 4 from 003, were analyzed. When compared to the average base-line activity, CFZ treatment resulted in 88% CT-L inhibition in CD-138+tumor cells from 004 patients (P = 0.0212 by unpaired t-test) and 59% CT-L inhibition in CD-138+ tumor cells from 003 patients (P = 0.25). Baseline CT-L activity in CD138+ tumor cells was 3-fold higher in 004 than 003, which includes a more heavily pre-treated patient population with greater prior exposure to BTZ. Higher specific enzymatic activity was due to increased levels of both constitutive and immunoproteasomes in tumor cells, where immunoproteasomes account for >75% of total cellular proteasomes. No differences between trials were seen in baseline CT-L activity from non-tumor (CD138−) cells. Inhibition in CD138− cells was 84% (P = 0.0380 and 42% (P = 0.38) in 004 and 003, respectively. Using ProCISE, we measured inhibition of LMP7 (66%), beta5 (48%) and MECL1 (64%) in CD138+ tumor cells from 004 patients. Three patients from 004 and one from 003 had both a screening and post-dose tumor cell samples available for analysis. Inhibition of CT-L activity was >80% in two of the 3 patients on 004; the third patient showed no proteasome inhibition by ProCISE and was unavailable for analysis by CT-L. CT-L activity in the CD138+ tumor cells in the 003 patient was not inhibited, however, inhibition was seen in non-tumor cells. Conclusions: CFZ inhibits the proteasome activity of myeloma cells in the bone marrow of relapsed and refractory myeloma patients. The levels of inhibition were similar to those measured in whole blood samples, supporting the use of the blood-based assay as a surrogate marker for proteasome inhibition in tumor cells. CFZ treatment resulted in inhibition of both CT-L subunits as well as additional subunits of the immunoproteasome in tumor cells. Reduced baseline activity in the more heavily pretreated 003 patients may reflect reduced tumor-dependency on the proteasome and may be related to prior treatment with BTZ in these patients. More samples are needed in order to make correlations between levels of proteasome inhibition in bone marrow tumor cells and prior therapies or response. These observations support further evaluation of proteasome activity and the effects of this promising new agent in primary tumors cells from myeloma patients. Disclosures: Trudel: Celgene: Honoraria, Speakers Bureau; Ortho Biotech: Honoraria. Lee:Proteolix, Inc.: Employment. Kirk:Proteolix, Inc.: Employment. Lonial:Celgene: Consultancy; Millennium: Consultancy, Research Funding; BMS: Consultancy; Novartis: Consultancy; Gloucester: Research Funding. Wang:Proteolix, Inc.: Research Funding. Kukreti:Celgene: Honoraria. Stewart:Genzyme, Celgene, Millenium, Proteolix: Honoraria; Takeda, Millenium: Research Funding; Takeda-Millenium, Celgene, Novartis, Amgen: Consultancy. Jagannath:Millennium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. McDonagh:Proteolix: Research Funding. Zonder:Celgene: Speakers Bureau; Pfizer: Consultancy; Seattle Genetics, Inc.: Research Funding; Amgen: Consultancy; Millennium: Research Funding. Bennett:Proteolix: Employment.

Abstract Abstract 76 Background: We measured proliferation in MM cells transfected with 13,984 small interfering RNAs in the absence/presence of increasing concentrations of bortezomib (BTZ) and identified 37 non lethal genes as reproducible BTZ sensitizers. The strongest hit was CDK5 a gene expressed at high levels in MM and neural tissues with relatively low expression in other organs suggesting a large therapeutic window. The small molecule CDK5 inhibitor Dinaciclib is a novel, potent, small molecule inhibitor of cyclin dependent kinases (CDK). It selectively inhibits CDK1, CDK 2, CDK 5 and CDK9 with 50% inhibitory concentrations (IC50) in the low nanomolar concentration. Based on these data, we undertook the current trial to evaluate the maximally tolerated dose of Dinaciclib in this patient population as well as assess the efficacy of single agent Dinaciclib in relapsed MM. Patients and Methods: Patients with relapsed MM and measurable disease were enrolled on this phase 1/2 trial provided they had not more than 4 prior lines of therapy for MM, had adequate performance status and organ and hematological function. Patients receiving strong inhibitors/inducers of CYP3A4 were not allowed unless the drugs could be discontinued. The primary objectives were to (i) to determine the MTD of dinaciclib in subjects with relapsed MM (phase 1) and (ii) to evaluate the confirmed response rate with dinaciclib in patients with relapsed MM (phase 2). Dinaciclib was administered on day 1 of a 21-day cycle at doses of 30–50 mg/m2. Dose escalation was done using a 3+3 design and MTD was defined as one dose level below that resulted in >=2 DLTs among 6 patients. Results: Overall, twenty-nine patients were accrued to this study (19 phase I, 10 phase II) from July 2009 to December 2011. Two patients were replaced for study violations and are not included in analysis. The Phase II analysis included the 6 patients treated at the Phase I dose level 50mg/m2 as well as the first 9 patients accrued to the Phase II portion (15 evaluable patients). The median age of the 27 evaluable patients was 66 (range, 49–81); 52% were male. The median duration from diagnosis was 42 months (range, 7–207 months); median number of prior therapies was 4 (range, 1–5). Overall, 11 (41%) patients were considered high-risk by FISH and 56% were ISS stage III at study entry. Patients have received a median of 2 cycles (range: 1–12) and all patients have discontinued treatment for disease progression (18), alternative Treatment (2), adverse Event (4), or other reasons (3). One dose limiting toxicity was seen over all dose levels. One patient at 40 mg/m2 experienced grade 3 constipation possibly related to treatment. The dose level of 50 mg/m2 was determined to be the MTD for the Phase II portion. The overall confirmed response rate was 3 of 27 (11%); including two patients at 40 mg/m2 dose (1 VGPR, 1 PR) and one patient at 50 mg/m2 dose (1 VGPR) with a PR or better. In addition, two patients at 50 mg/mg2 dose have achieved an MR; translating to an overall response rate of 18.5% (5 of 27). Figure 1 shows a waterfall plot of the M protein responses among patients with a measurable M spike. Overall, 21 patients had disease progression and 14 patients have died. Median follow-up for patients still alive is 11.8 months (range: 6.5–19.3). Leukopenia and thrombocytopenia were the most common hematological AEs, and gastrointestinal symptoms, alopecia, and fatigue, were the most common non-hematological AEs seen in the study. Conclusions: The current study demonstrates potential single agent anti-myeloma activity of dinaciclib in a relapsed MM patient population with 2 patients achieving a deep response (VGPR) and many patients obtaining some degree of M protein stabilization or decrease. Ongoing studies are examining dinaciclib in combination with proteasome inhibitors, exploring both weekly and every three-week dosing schedules. Disclosures: Zonder: Millennium Pharmaceuticals, Inc: Consultancy, Research Funding; Celgene: 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 Abstract 4029 Introduction: Chromosomal translocation of the FGFR3 oncogene in t(4;14)-positive multiple myeloma (MM) causes FGFR3 overexpression in plasma cells, chemoresistance, and poor prognosis leading to shorter overall survival in MM patients (pts). MFGR1877S is a human monoclonal antibody that targets FGFR3 to prevent ligand binding, receptor-receptor association, and FGFR3 signaling. In preclinical studies, anti-FGFR3 antibody suppresses FGFR3-mediated cell proliferation, and exerts strong anti-tumor activity in mouse xenograft models of both t(4;14)-positive MM and bladder carcinoma. Methods: This Phase I study assessed the safety, tolerability, and biologic activity of MFGR1877S given intravenously, weekly for 3 weeks, followed by every 28-day dosing, to eligible patients with t(4;14)-positive MM. Dose escalation started with single-pt cohorts at 1 and 2 mg/kg, followed by a standard 3+3 dose-escalation scheme at doses ranging from 4–15 mg/kg. Dose escalation decisions were made based on monitoring pts for dose-limiting toxicities (DLT) during the first 22 days on study. FGFR3 expression, safety, pharmacokinetics (PK), and response (EBMT/IMWG criteria) were assessed. Main efficacy outcome measures include serum/urine M protein and free light chain (FLC) quantities. Results: A total of 14 pts (median age 66, range 45–78; 43% female) with a baseline ECOG status of 0–2, and a median number of 5 prior therapies (range 1–10), received a median of 3.5 doses (range 1–7) of MFGR1877S. Adverse events (AEs) deemed related to MFGR1877S were diarrhea, fatigue, and nausea (14% each), and anemia, increased creatinine, bone pain, confusion, decreased appetite, myalgia, and fever (7% each). The only Grade ≥ 3 related AE was fatigue (7%). Six pts experienced 9 serious AEs (SAE), one of which was Grade 2 pyrexia attributed to MFGR1877S that occurred within 24 hours of infusion and required hospitalization. This pt later discontinued due to a second SAE of Grade 2 pyrexia requiring hospitalization not attributed to MFGR1877S. One pt died of intracranial hemorrhage not attributed to MFGR1877S. No Grade 4 SAEs were reported. Other reported SAEs included Grade 3 hypercalcemia, neutropenia, pain in extremity, and musculoskeletal chest pain (1 pt each), Grade 2 ankle fracture, pneumonia, and pyrexia × 2 (1 pt each). No maximum tolerated dose was identified, as no DLTs were observed through the highest dose tested (15 mg/kg). Preliminary PK analysis for limited number of multiple myeloma patients (n=14) by non-linear mixed effect modeling demonstrated a trend of dose proportional increase of exposure (area under the concentration-time curve and maximal concentration) from 2 to 15 mg/kg. Population clearance of MFGR1877S was estimated to be ∼0.62 L/day, suggesting that MFGR1877S appeared to have a slightly faster clearance in MM patients, compared to the typical IgG1 monoclonal antibody clearance in human. The central volume of distribution of MFGR1877S was ∼3.4 L, which approximated human serum volume and appeared similar to the central volume of distribution of other typical IgG1 monoclonal antibodies. While some degree of FGFR3 expression was detected by immunohistochemistry in 10/14 patient bone marrow samples taken at screening, FACS analysis of FGFR3 surface expression on myeloma cells, although largely consistent with IHC measurements, also revealed heterogeneity in the levels of detectable surface FGFR3 expression. Six pts had stable disease as their best response: 2 pts up to 4 cycles, 1 pt up to 3 cycles, and 3 pts up to 1 cycle. Conclusions: MFGR1877S was well-tolerated overall in these patients with multiple relapsed or refractory MM. Although no objective responses were observed, stable disease was observed in 3 pts for 3–4 cycles. Disclosures: Off Label Use: MFGR1877S is a human monoclonal antibody that targets FGFR3 to prevent ligand binding, receptor-receptor association, and FGFR3 signaling. Singhal:Millennium and Celgene: Speakers Bureau. Niesvizky:Onyx, Millemium, Celgene. Speakers bureau: Millenium and Celgene: Consultancy, Research Funding. Comenzo:Millenium, Neotope; Onyx, Osiris, Millenium: Consultancy, Research Funding. Lebovic:Genentech: Speakers Bureau. Choi:Genentech: Employment. Lu:Genentech: Employment. French:Genentech: Employment. Penuel:Genentech: Employment. Ho:Genentech: Employment.

Abstract Abstract 3968 To better understand the genetic events associated with extra-medullary multiple myeloma (MM) we completed whole exome, long-insert whole genome and RNA sequencing on a patient with t(14;16) and neck adenopathy, as well as whole genome sequencing on two additional patients with respectively: t(4;14) and plasma cell leukemia, and del 17 with chest wall mass. All patients had multi-drug resistant disease and del 13. The frequency of somatic non-synonymous single nucleotide variants (SNV) ranged from 119 to 498, including an average of 15 truncating SNV, as well an average of 75 structural variants (range 2–147). Importantly, in one patient a truncating mutation, Q99*, on one allele and minor clone point mutation, R283K, on the second allele was observed in CRBN, a gene whose expression is required for effective lenalidomide and pomalidomide anti-myeloma activity. In the same patient a non-synonymous mutation, E171K, was also observed in PSMG2, a proteasome assembly protein, and a non-synonymous mutation, G369A, in NR3C1, a glucocorticoid receptor. Subsequently we have sequenced CRBN in 27 patients and 7 cell lines and have found no further examples of mutation in CRBN but have previously reported a bi-alleleic focal deletion in the MM.1Sres cell line. Mutations in NR3C1 have not previously been described in other MM genomes. Other, potentially clinically relevant mutations in the three patients were observed in FGFR3, PRDM1, STAT5B, NRAS, KRAS, PIK3CA, NF1, ATM, NFKB2, CKS1B and ERBB4. Although the three patients did not share a unifying event, a number of mutated genes observed were shared with other published myeloma genomes including RB1, TP53, MLL3, JAG2, VAV3 and SETD2. We also looked at pathway activation across the three genomes with the most statistically mutated pathways including VEGF signaling and activation, cell adhesion and chemokines, cytoskeleton remodeling, integrins in carcinoma progression, TP53 signaling and NOTCH signaling. In conclusion, we have identified, for the first time, the presence of a mutation in CRBN in a myeloma patient as well as mutations in PSMG2 and NR3C1, likely associated with drug resistance. Disclosures: Schmidt: Karyopharm: Research Funding. Carpten:Life Technologies: Research Funding. Stewart:Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy.

Abstract Abstract 1802 Poster Board I-828 Background Heterogeneity in multiple myeloma (MM) leads to disparate outcomes with a wide variation in overall survival (OS). Based upon the evidence predominantly gathered from newly diagnosed patients treated with standard chemotherapy and/or transplantation, the current Mayo (mSMART) prognostic model uses a combination of metaphase cytogenetics, fluorescence in-situ hybridization (FISH) and plasma cell labeling index (PCLI) for risk-stratification at diagnosis of MM. The objective of our study was to evaluate the significance of this stratification model in the era of novel therapies, and to assess the independent prognostic value of each of the components in the model. Methods Data were abstracted from a cohort of 1556 consecutive patients with MM who presented to our institution between January 1999 and March 2009 within ninety days of diagnosis of MM A total of three hundred and eighty six patients had been evaluated with conventional cytogenetics near diagnosis in addition to interphase FISH. Out of this cohort, three hundred and sixty six patients had availability of all the three tests, including the slide-based PCLI. High-risk MM was defined as presence of any one or more of the following: cytogenetics: hypodiploidy, monosomy of chromosome 13 or deletion 13q ; FISH: deletion of p53 (locus 17p13) or immunoglobulin heavy chain (IgH) translocations, t(4;14) (p16.3;q32) or t(14;16)(q32;q23); PCLI ≥3%. Survival estimates were created using the Kaplan-Meier method and compared by log-rank tests. The impact of each of the three tests was assessed by a multivariate (MV) analysis using Cox proportional hazards model. Results The median OS of the cohort of 366 patients was 65 months from presentation. One hundred and twelve (31%) patients were deemed high risk by any one or more of the three tests: Metaphase cytogenetics, FISH or PCLI (current mSMART definition of high-risk MM). The median OS of high risk patients was 52 months versus 71 months for standard-risk (P=0.007). We then studied the prognostic value of the three tests separately. Patients classified as high risk by FISH had a median OS of 35 months versus 65 months for the standard risk, HR= 2.3, P<0.001. Similarly, cytogenetics alone was also able to classify patients into high and standard risk with a comparable HR of 2.1 (P=0.008, median survival 37 vs. 64 months). In contrast, PCLI did not have a significant prognostic value (HR =1.41, P=0.32). This was confirmed on multivariate analysis in a model that included all 3 tests. FISH (HR=2.36, P=0.001) and cytogenetics (HR=1.99; P=0.017) emerged as independent determinants of prognosis in the multivariable analysis, while PCLI (HR=1.03, P=0.93) did not provide additional prognostic value. We then examined whether the prognostic value of FISH contributed additionally in patients classified into high and standard risk by conventional cytogenetics, and vice versa. Those classified as high risk by cytogenetics (n=44, 11 %), were further categorized into 2 groups by additional prognostic information obtained by FISH (median survival 18 vs. 52 months; P=0.005). Similarly, those classified as standard risk by cytogenetics (n=342, 89 %), were further categorized into 2 groups (median survival 52 vs. 71 months; P=0.017) by additional FISH-based stratification. Similarly, high-risk patients defined by FISH (n=65, 17 %) were further classified into 2 groups with significant difference in median OS (18 vs. 52 months, P=0.004), based on the presence or absence of high-risk features on cytogenetics. In contrast, no additional prognostic information was gained by cytogenetics in patients who were stratified as standard risk by FISH alone (n=321, 83%). Conclusion Our study validates high risk features defined by FISH and conventional cytogenetics in the mSMART risk stratification model among patients treated after the introduction of novel therapies. Either test identifies a high risk cohort with a hazard ratio of approximately 2 (median survival ∼37 versus ∼65 months). In patients known to have high risk disease by one of the two tests, knowledge of the other appears to add additional prognostic value. Disclosures Fonseca: Amgen, BMS, Celgene, Otsuka, Genzyme and Medtronic: Consultancy. Gertz:celgene, millennium: Honoraria. Dispenzieri:celgene: Research Funding. Kumar:celgene, genzyme, millennium, novartis, bayer: Research Funding; genzyme: Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 4034 Through literature review we identified 376 pre-clinical studies in which a small molecule or antibody has been demonstrated to be cytotoxic to multiple myeloma (MM) cells either as cell lines, primary tumor samples or in mouse models. Indeed it seems there is no limit to the number of compounds that are cytotoxic to MM cell lines at high enough concentration. Since the pipeline to clinical trials is then large the utility of such assays in predicting future clinical value is debatable. We therefore sought to examine the utility of applying very early Phase I or Phase II trial experiences to predict for future clinical adoption. Using Pubmed, ASCO, ASH, EHA and IMWG abstracts we identified 117 drugs explored as single agents in 211 early stage clinical MM trials between 1961 and 2012 involving 7,166 patients. As definitions have changed over time, our analysis used partial responses (PR) or better as a response. When multiple trials were reported with a single drug, the average and the highest response rate for that agent was identified. Results were considered regardless of whether single or multi center trial, elderly or younger patients, stage of disease, targeted or non targeted therapy. High dose therapies requiring autologous stem cell support (eg. melphalan and etoposide), trials with less then 5 patients (e.g. siltuximab) or trials with concomitant steroid application which obscure single agent activity (e.g. pomalidomide, marizomib or daratumumab) were excluded in the analysis. Results: 17 drugs (14.5%) showed a best result of PR in more than 20% of patients, but when average response across all reported trials is considered, doxorubicin, arsenic trioxide and idarubicin drop out leaving 14 active drugs. Twelve drugs (10.3%) report as a best result PR in 10–20% of patients. 88 drugs (75.2%) reported a PR response in less than 10% of patients, 68 of which (58.1%) had no reported activity. A striking finding of our study is that all drugs approved for, or commonly used in clinical practice (prednisone, dexamethasone, cyclophosphamide, melphalan, bendamustine, thalidomide, lenalidomide, bortezomib, carfilzomib) have an average single agent PR response of at least 20%. Pomalidomide, although not approved, meets this threshold in Phase I testing. Older agents including teniposide, fotemustine, paclitaxel, and interferon also appear active by this criteria but have fallen from favor or were never adopted due to perceived toxicity. Of note, a number of newer agents which are in, or which recently completed Phase 3 testing, such MLN9708, elotuzumab, panobinostat, vorinostat or perifosine show little single agent activity. A weakness in this approach is that changes in measurement of response over time might bias the results, especially in favor of older studies. Furthermore, the chance of responding to a new drug has likely slowly declined as therapies have improved and patients have entered such trials at increasingly late stages of disease. It also does not rule out the possibility of synergistic activity or clinical benefit from a cytostatic drug. Nevertheless, our analysis suggests that a cut off of 20% single agent partial response activity averaged across all trials with that agent is highly predictive of future clinical success. If best reported response over 20% is considered no drug except vincristine has yet reached the clinic and has subsequently fallen from favor. Thus only drugs with 20% PR activity are in widespread use and thus this benchmark provides a framework for guiding choice of drugs for late stage clinical testing. Disclosures: Jimenez-Zepeda: MMRF: Research Funding; Jansenn Ortho: Honoraria. Fonseca:Onyx: Consultancy, Research Funding; Cylene: Research Funding; Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Binding Site: Consultancy; Millenium: Consultancy; AMGEN: Consultancy; Mayo Clinic: Patents & Royalties. Stewart:Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy.

Abstract Abstract 750 Background: DKK1 is a negative regulator of the Wnt signaling pathway in bone that is overexpressed in a subset of newly-diagnosed MM patients with osteolytic lesions as well as in refractory and relapsed patients. Expression also correlates with the number of osteolytic lesions in untreated MM patients. BHQ880 is a novel anti-DKK1 human monoclonal antibody. Alleviation of DKK1 inhibition by BHQ880 results in activation of the Wnt signaling pathway, leading to increased bone mass mediated via upregulation of osteoblasts in mice and monkeys. In murine models of MM bone disease; this anabolic activity of BHQ880 increased trabecular and cortical bone density. Lytic bone disease in MM is caused by osteoclast activation and osteoblast inhibition. Current approved therapies for the treatment of MM bone disease are focused on osteoclast inhibition (e.g., bisphosphonates) and BHQ880 therapy may be able to reverse the effects of DKK1-induced osteoblast inhibition. Therefore, dual therapy with zoledronic acid to decrease bone resorption and BHQ880 to increase new bone formation may provide an effective treatment strategy for MM bone disease. Methods: In the phase I portion of this phase I/II study, patients with relapsed or refractory MM with prior skeletal-related event (SRE) were treated with BHQ880 as an IV infusion Q28 days. Patients also received Zol (4 mg) and approved MM Tx (bortezomib not allowed). Bone markers and total DKK1 levels along with bone mineral density are being measured. Full PK profiles were collected during the first and second cycle, after which predose (trough) samples were collected to assess accumulation. Results: Ten pts (6:M, 4:F), median age: 66.5 yrs (range 41- 70), performance status-0(5 pts), 1(4 pts), 2 (1 pts) have been enrolled in the following dose levels (mg/kg) 3 (2 pts), 10 (starting dose level -4 pts), 20 (4 pts) and have been on treatment for 1 day to 5 28-day cycles. No BHQ880-related AE's have been observed to date. Bone mineral density (BMD) data from the first two patients treated at 10 mg show the following: a.) Pt 1 (hip +5.8%, spine N/A due to surgery, wrist -1.8%); b.) Pt 2 (hip -0.2%, spine +6.1%, wrist not done). The biomarker data from these patients show: a.) Pt 1 shows a maximal +98% change over baseline in PINP at day 15 post-treatment, while osteocalcin (OC) changes +17% at day 15, reaching a +56% change over baseline at cycle 4 day 1; uNTx/Cr changes – 43 % at cycle 2 day 15. b) Partial data from Pt 2 suggests a -44 % change in PINP and –73 % change in OC and a +73% change in uNTx/Cr. Baseline total DKK1 levels on 3 patients ranged from 8.8 to 21.5 ng/mL. Preliminary PK analysis is available in 1 out of 3 patients treated at 10mg/kg. The Cmax achieved after the first infusion was 165 ug/mL and 201 ug/mL after the second infusion. Calculated t1/2 was 188 hours after the first infusion and 254 hours after the second infusion. Regarding overall exposure, AUC0-672 hours after first infusion was 36081 hr*ng/mL and 48533 hr*ng/mL after the second infusion. Conclusion: BHQ880 given IV Q28 days appears to be well tolerated in combination with Zol and chosen MM Tx. Once safety of 40 mg/kg BHQ880 or the MTD dose has been determined, pts will be enrolled in the phase II portion to assess activity on a SRE endpoint. Updated safety, efficacy, bone density and biomarker data will be presented on all patients at the upcoming ASH meeting. Disclosures: Padmanabhan: Genentech: Consultancy, Honoraria; GSK: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau. Off Label Use: BHQ880, a novel osteoblast activating, anti-DKK1 antibody. Dzik-Jurasz:Novartis: Employment, Equity Ownership. Gangolli:Novartis: Employment, Equity Ownership. Ettenberg:Novartis: Employment, Equity Ownership. Miner:Novartis: Employment, Equity Ownership. Bilic:Novartis: Employment, Equity Ownership. Whyte:Novartis: Employment, Equity Ownership. Mehdi:Novartis: Employment, Equity Ownership. Chiang:Novartis: Employment, Equity Ownership. Rae:Novartis: Employment, Equity Ownership. Shah:Novartis: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Millenium: Research Funding, Speakers Bureau; Amgen: Consultancy, Speakers Bureau; Elan: Consultancy. Giles:Novartis: Consultancy, Research Funding; BMS: Research Funding; Merck: Research Funding; Clavis: Research Funding. Stewart:Novartis: Consultancy; Amgen: Consultancy; Millenium: Consultancy, Research Funding; Proteolix: Consultancy; Celgene: Honoraria.