Stewart, Keith

Abstract As multiple myeloma tumors universally dysregulate cyclin D genes we conducted high-throughput chemical library screens for compounds that inhibit signaling pathways driving cyclin D2 promoter transactivation, assaying more than 4,000 compounds. The top-ranked compound from these studies was a natural triterpenoid, pristimerin. Pristimerin markedly suppressed cyclin D2 promoter activity (>90%) in 3T3 fibroblast cells and inhibited cyclin D1, D2 and D3 protein expression in myeloma tumor cells. Strikingly, the early (4 hour) transcriptional response of myeloma cells treated with pristimerin closely resembles cellular responses elicited by proteosome inhibitors (P<10−9) (Connectivity Map Build 2, www.broad.mit.edu/cmap), with rapid induction of heat shock proteins (HSP70 >90-fold), activating transcription factor (ATF) 3 and CHOP. Enzymatic assays performed with purified 20S proteosome, or with total cellular extract, confirm that pristimerin rapidly and specifically inhibits chymotrypsin-like 20S proteosome activity at low concentration (<100nM), causing sustained inhibition lasting >6 hours. Consistent with inhibition of proteosome function, pristimerin causes rapid and sustained accumulation of high molecular weight poly-ubiquitinated protein in myeloma cell lines. Notably, related cytotoxic triterpenoid drugs, such as the methyl ester of 2-cyano-3,12-dioxooleana-1,9(11)-dien-28-oic acid (CDDO-Me, RTA 402) or betulinic acid or the ginsenosides - all of which show promising anti-cancer activities and are currently in clinical trials for advanced lymphoma, leukemia or solid malignancies - commonly inhibit NF-kB activation via direct inhibition of IKKα or IKKβ. In contrast drugs that function as proteosome inhibitors also commonly suppress NF-kB function instead by impairing degradation of ubiquitinated IkB. Immunoblotting for phosphorylated IkB confirms that pristimerin, like other triterpenoids, acts upstream of IkB to inhibit its phosphorylation, although pristimerin simultaneously inhibits proteosome activity with marked potency to diminish the clearance of ubiquitinated IkB. As a result of this two-fold stabilization of IkB, pristimerin causes overt and specific suppression of NF-kB mediated transcription, measured by a panel of transcriptional reporters with synthetic promoters containing 5x repeats of generic binding sites for NF-kB, AP-1, CREB or TCF4. Importantly, specific suppression of constitutive NF-kB transcriptional activity was pronounced in myeloma cells with inherent NF-kB pathway activation resulting from bi-allelic deletion of the TRAF3 tumor suppressor. Constitutive activation of the NF-kB pathway occurs in a significant proportion of primary myeloma tumors, most commonly via inactivation of TRAF3. Selective silencing of NF-kB driven transcription in myeloma cells may mediate the potent suppression of cyclin D proteins induced by this compound. Significantly, multiple myeloma cells are exquisitely sensitive to both proteosome inhibition or NFkB pathway inhibition. Consistent with these twin vulnerabilities, pristimerin is potently and selectively lethal to primary myeloma cells from patients (IC50<100nM) grown in mixed lineage culture and inhibits the growth of xenografted human plasmacytoma tumors grown in mice, providing a strong rationale for pharmaceutical development of triterpenoid dual-function proteosome-plus-NF-kB pathway inhibitors as therapeutics for multiple myeloma and related human malignancies.

Abstract Abstract 813FN2 Introduction: Carfilzomib is a next-generation proteasome inhibitor that selectively and irreversibly binds to its target, resulting in sustained inhibition absent of off-target effects relative to bortezomib. Carfilzomib has demonstrated durable anti-tumor activity and an acceptable tolerability profile in patients with multiple myeloma (MM). Final results will be presented for the bortezomib-naïve group of PX-171-004, a phase 2 study of single-agent carfilzomib in patients with relapsed and/or refractory MM. Herein we report the most recent data analysis available at time of abstract submission. Updated final results for the bortezomib-naïve group of PX-171-004, including OS data, will be presented at the meeting. Methods: Patients received either 20 mg/m2 for all treatment cycles (Cohort 1) or a stepped-up dose-escalating regimen of 20 mg/m2 for Cycle 1 and 27 mg/m2 for all treatment cycles thereafter (Cohort 2). Carfilzomib was administered over 2–10 minutes on Days 1, 2, 8, 9, 15, and 16 of every 28-day cycle, for a maximum of 12 cycles. The primary endpoint was the best overall response rate (ORR; [CR + VGPR + PR]) determined according to the IMWG Uniform Response Criteria. Secondary endpoints included the clinical benefit response rate (CBR; [ORR + MR per EBMT criteria]), progression-free survival (PFS), time to progression (TTP), duration of response (DOR), OS, and safety. The result of efficacy analysis from disease assessment by the Independent Review Committee is presented in this abstract. Results: 127 of 129 enrolled bortezomib-naïve patients were evaluable for response. Prior therapies included thalidomide (59%), lenalidomide (59%), alkylating agents (81%), and stem cell transplant (73%). Patients had received a median of 2 prior regimens (1 in 54 patients, 2 in 40 patients, 3 in 28 patients, and ≥4 in 7 patients). 84 patients (65%) were disease refractory to their most recent therapy, defined as ≤25% response or progression during or within 60 days after completion of therapy. The median duration of carfilzomib treatment is 7 cycles (range 1−12) in Cohort 1; 8 patients were receiving drug as of February 2011 in Cohort 2 with a median treatment of 6.5 cycles (range 1−13) at that time. Best ORR was 42% in Cohort 1 and 52% in Cohort 2. Median TTP was 8.3 months and median DOR was 13.1 months in Cohort 1. The median TTP and DOR for Cohort 2 have not been reached at the time of this interim analysis; the lower bound of the 95% CI for the median TTP was 10.2 months, and 84% were estimated to have DOR ≥1 year at the time of data cutoff. Higher response rates for Cohort 2 compared with Cohort 1 do not appear to be associated with higher toxicities. Patients with unfavorable cytogenetic characteristics (≥1 abnormality) per mSMART criteria had an ORR of 37% and CBR of 42% compared with 50% and 65%, respectively, for patients with no abnormality. The most common treatment-emergent adverse events (AEs), regardless of relationship to carfilzomib in Cohorts 1 and 2, respectively, were fatigue (71%, 54%), nausea (54%, 43%), anemia (46%, 37%), and dyspnea (49%, 33%). These were primarily ≤Grade 2 in severity. The most common Grade 3/4 AEs were anemia (15%), lymphopenia (15%), thrombocytopenia (13%), pneumonia (12%) and neutropenia (12%). Treatment-emergent peripheral neuropathy (PN) was mild and infrequent (16%). Only 1 case of Grade 3 PN (0.8%) was observed. Overall, 38 patients (30%) completed 12 cycles and 22 of these patients continued to receive carfilzomib therapy under a safety extension protocol (PX-171-010), an ongoing, multicenter, open-label phase 2 study to monitor long-term use of single-agent carfilzomib. Conclusions: To date we have seen robust and durable single-agent activity for carfilzomib in bortezomib-naïve patients with relapsed and often refractory MM with an ORR of 42−52% and a CBR of 59−63% from 2 separate dose cohorts in a population wherein 92% received an immunomodulatry drug and 73% had undergone an autologous stem cell transplant previously. These data are suggestive of a dose–response relationship and are being further evaluated in the exploratory phase 1b/2 study PX-171-007. Carfilzomib was associated with minimal PN and excellent long-term tolerability, with nearly one-third of patients completing 12 cycles and 22 of these continuing treatment beyond 1 year in the extension protocol PX-171-010. Disclosures: Vij: Onyx Pharmaceuticals: Consultancy, Research Funding; Celgene: Research Funding, Speakers Bureau; Millennium: Speakers Bureau. Kaufman:Millenium: Consultancy; Onyx Pharmaceuticals: Consultancy; Novartis: Consultancy; Keryx: Consultancy; Merck: Research Funding; Celgene: Research Funding. Jakubowiak:Ortho Biotech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Consultancy, Honoraria, Speakers Bureau; Millennium Pharmaceuticals, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Onyx Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Exelixis: Consultancy, Honoraria. Wang:Onyx Pharmaceuticals: Research Funding. Jagannath:Millennium: Honoraria; Celgene: Honoraria; Onyx Pharmaceuticals: Honoraria; Merck: Honoraria; OrthoBiotec.Imedex: Membership on an entity's Board of Directors or advisory committees; Medicom World Wide: Membership on an entity's Board of Directors or advisory committees; Optum Health Education: Membership on an entity's Board of Directors or advisory committees; PER Group: Membership on an entity's Board of Directors or advisory committees. Kukreti:Celgene: Honoraria. Alsina:Millennium: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Allergan: Research Funding. Belch:Celgene: Research Funding; Onyx: Research Funding. Gabrail:Millennium: Research Funding. Matous:Celgene: Speakers Bureau; Millenium: Speakers Bureau; Cephalon: Speakers Bureau. Vesole:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millennium: Speakers Bureau. Orlowski:Onyx Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees. Kunkel:VLST biothech: Consultancy; Threshold: Consultancy; Onyx Pharmaceuticals: Consultancy. Wong:Onyx Pharmaceuticals: Employment, Equity Ownership. Stewart:Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding.

Abstract Abstract 2881 Multiple myeloma (MM) is characterized by a remarkable heterogeneity in outcome following standard and high-dose therapies. Significant efforts have been made to identify genetic changes and signatures that can predict clinical outcome and include them in the routine clinical care. Gene expression profiling (GEP) studies have achieved a central role in the study of multiple myeloma (MM), as they become a critical component in the risk-based stratification of the disease. To molecularly stratify disease-risk groups, we performed GEP on purified plasma cells (obtained from the immunobead selection of CD138+ cells) from 489 MM samples in different stages of the disease using the Affymetrix U133Plus2.0 array. A total of 162 probes were analyzed using an in house automated script to generate a GEP report with the most used risk stratification indices and signatures, including the UAMS 70-gene, UAMS class, TC classification, proliferation and centrosome signature, and NFKB activation indices. In a subset of 57 samples, IgH translocations were analyzed using FISH and results were correlated with GEP data. A macrophage index was calculated and used as a surrogate measurement of non-plasma cell contamination. A total of 49 samples (10%) were excluded from subsequent analysis as the macrophage index indicated a significant contamination with no plasma cells, hence potentially compromising the results. The percent of high-risk disease patients identified from different signatures ranged from 26.4% by using high proliferation index to 28.8% with high centrosome signature and 31.3% with high 70-gene index. This percent of high-risk cases based on the 70-gene index is similar to what was found in Total therapy 2 (TT2) and TT3 cohorts. A third of patients (33.2%) were classified as D1 in the TC class, followed by 11q13 (19.3%), D2 (16.4%), 4p16 (13.8%), MAF (6.1%), None (4.7%), D1+D2 (4.5%) and 6p21 (1.8%). The NF-kB pathway was likely activated in 45.5% to 59.5% of cases, depending on the index used for its calculation. High proliferation index and high centrosome signature significantly correlates with 70-gene high-risk group (p<0.0001). Conversely, the activation of NF-kB pathway was not significantly different between high- and low- risk subgroups. TC subgroups D1 (p<0.0001) and 11q13 (p=0.01) were significantly more common in the 70-gene low-risk group. Similarly, TC subgroups 4p16 (p=0.0004), Maf (p=0.02) and D2 (p=0.05) were enriched in the high-risk group. Translocations t(4;14)(p16;q32), t(11;14)(q13;q32) and t(14;16)(q32;q23) were precisely predicted by the TC classification (100% correspondence). Cases with IgH translocations with unknown partner were classified in subgroups D1 (33%), D2 (25%), 6p21 (25%) and Maf (16%). Here we summarized the associations between the most significant gene expression indices and signatures relevant to MM risk-stratification. The multiple variables simultaneously analyzed in an automated way, provide a powerful and fast tool for risk-stratification, helping in the therapeutic decision-making. Disclosures: Stewart: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding. Fonseca:Consulting :Genzyme, Medtronic, BMS, Amgen, Otsuka, Celgene, Intellikine, Lilly Research Support: Cylene, Onyz, Celgene: Consultancy, Research Funding.

Abstract Introduction Multiple Myeloma is not a single disease. There is increasing support for risk classification in combination with treatment decision making because of its impact on clinical outcomes. Here we demonstrate additional evidence of the prognostic value of SKY92, an established genetic marker of high risk Multiple Myeloma in a multicenter collection of samples with undisclosed treatments. Materials Methods A public GEP dataset (MMRC, MMGI portal) contained 114 cases of untreated Multiple Myeloma and was used for SKY92 high risk OS prediction (Kuiper et al. Leukemia 2012). In collaboration with MMRC, OS (with a minimum of at least 2 year follow-up) was collected for 91 of 114 cases for the purpose of this analysis. Briefly, CD138-positive plasma cells had been purified prior to total RNA extraction and subsequent gene expression profiling on Affymetrix U133Plus2.0 GeneChips. The 91 cases represented 9 different clinical sites and their CEL files were normalized as a single batch against a reference cohort of 329 cases after which the SKY92 risk scores were determined as either standard risk or high risk. Results SKY92 resulted in 19 high risk (20.9%) versus 72 standard risk (79.1%) cases in the unselected 91 case-cohort. Comparisons with other high risk GEP signatures will be performed. The OS analysis (Figure 1) shows that the HR cases have significantly shorter survival (Hazard Ratio 11, p = 7 x 10-5). Table 1 shows that high risk patients had more elevated B2M (26.3% vs 13.9%), more low albumin (26.3% vs 16.7%) and more high creatinine (26.3% vs 11.0%). There was no difference between high and standard groups in diagnosis dates (not shown). Cause of the 16 (84.2%) deaths among the high risk cases, and 21 (29.1%) deaths among the standard risk cases indicates that high risk contains less disease progression deaths (57.1% vs 31.3%), and more unknown deaths (56.3% vs 23.8%). Conclusions The SKY92 classifier identified 19 of 91 cases (21%) as high risk, recapitulating the percentage of high risk in previously studied cohorts (Kuiper et al. 2012). Moreover the hazard ratio of 11 when events up to 24 months or 8.18 when all events are considered, emphasizes the unmet medical need of high risk cases identified with SKY92 as 69% of all deaths within 2 years (9/13 death events) were in this category. Acknowledgments This research was performed within the framework of CTMM, the Center for Translational Molecular Medicine, project BioCHIP grant 03O-102. Rafael Fonseca is a Clinical Investigator of the Damon Runyon Cancer Research Fund. This work is supported by grants R01 CA83724, ECOG CA 21115T, Predolin Foundation, Mayo Clinic Cancer Center and the Mayo Foundation. Disclosures: van Beers: Skyline Diagnostics: Employment. Van Vliet:Skyline Diagnostics: Employment. Anderson:celgene: Consultancy; onyx: Consultancy; gilead: Consultancy; sanofi aventis: Consultancy; oncopep: Equity Ownership; acetylon: Equity Ownership. Jagannath:Celgene: Honoraria; Millennium: Honoraria. Jakubowiak:BMS: Consultancy, 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, Speakers Bureau; Millennium: 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. Kumar:Celgene: Clinical Trial Support Other, Membership on an entity’s Board of Directors or advisory committees; Cephalon: Clinical Trial Support, Clinical Trial Support Other; Millennium: Clinical Trial Support, Clinical Trial Support Other, Membership on an entity’s Board of Directors or advisory committees; Novartis: Clinical Trial Support, Clinical Trial Support Other; Onyx: Clinical Trial Support Other, Membership on an entity’s Board of Directors or advisory committees. Lebovic:Celgene: Speakers Bureau; Onyx: Speakers Bureau. Lonial:Millennium: Consultancy; Celgene: Consultancy; Novartis: Consultancy; BMS: Consultancy; Sanofi: Consultancy; Onyx: Consultancy. Reece:Onyx: Honoraria; Novartis: Honoraria; Millennium: Research Funding; Merck: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; BMS: Research Funding. Siegel:Celgene: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Millennium: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; Onyx: Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau. Vij:Celgene: Honoraria, Research Funding, Speakers Bureau; Millennium: Honoraria, Speakers Bureau; Onyx: Honoraria, Research Funding, Speakers Bureau. Zimmerman:Celgene: Honoraria; Millennium: Honoraria; Onyx: Honoraria. Fonseca:Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy, Research Funding; Binding Site: Consultancy; Millennium: Consultancy; AMGEN: Consultancy; Cylene: Research Funding; Prognostication of MM based on genetic categorization of the disease: Prognostication of MM based on genetic categorization of the disease, Prognostication of MM based on genetic categorization of the disease Patents & Royalties.

Abstract Background: Multiple myeloma (MM) is a heterogeneous disease with very divergent outcomes that are dictated in a large part by specific cytogenetic abnormalities, as well as other prognostic factors such as the proliferative rate of marrow plasma cells. Prognostic systems incorporating these factors have shown clinical utility in identifying high-risk patients, and are increasingly being utilized for treatment decision-making. However, the prognostic relevance of these factors may change with the application of novel therapies. The objective of this study was to determine the impact of risk-stratification (incorporating plasma cell metaphase cytogenetics, interphase fluorescent in-situ hybridization (FISH) and the slide-based plasma cell labeling index (PCLI)) in a cohort of patients with newly diagnosed MM treated initially with lenalidomide + dexamethasone (Rev-Dex). Methods: From March 2004 to November 2007, 100 consecutive patients treated with Rev (25mg/day) on days 1 through 21 of a 4-week cycle in combination with dexamethasone as initial therapy for newly diagnosed myeloma, were identified. High-risk MM was defined as presence of any one or more of the following: hypodiploidy, monoallelic loss of chromosome 13 or its long arm (by metaphase cytogenetics only), deletion of p53 (locus 17p13) or PCLI ≥ 3% or immunoglobulin heavy chain (IgH) translocations, t(4;14) (p16.3;q32) or t(14;16)(q32;q23) on FISH. PFS and OS survival estimates were created using the Kaplan Meier method, and compared by log-rank tests. Results: The median estimated follow-up of the entire cohort (N=100) was 36 months. The median PFS was 31 months; the median OS has not been reached. The 2- and 3-year OS estimates were 93% and 83%, respectively. 16% patients were deemed high-risk by at least one of the 3 tests (cytogenetics, FISH or PCLI). Response rates (PR or better) were 81% versus 89% in the high-risk and standard risk groups, respectively, P=NS; corresponding values for CR plus VGPR rates were 38% and 45% respectively. The median PFS was 18.5 months in high-risk patients compared to 37 months in the standard-risk patients (n=84), P<0.001(Figure). Corresponding values for TTP were 18.5 months and 36.5 months, respectively, P=<0.001. OS was not statistically significant between the two groups; 92% 2-year OS was noted in both the groups. Overall, 95 patients had at least one of the 3 tests to determine risk, while 55 patients could be adequately stratified based on the availability of all the 3 tests, or at least one test result that led to their inclusion in the high-risk category. The significant difference in PFS persisted even when the analysis was restricted to the 55 patients classified using this stringent criterion; 18.5 months vs. 36.5 months in the high-risk and standard- risk groups respectively; P<0.001. In a separate analysis, patients who underwent SCT before the disease progression were censored on the date of SCT to negate its effect, and PFS was still inferior in the high-risk group (p=0.002). Conclusion: The TTP and PFS of high-risk MM patients are inferior to that of the standard-risk patients treated with Rev-Dex, indicating that the current genetic and proliferation-based risk-stratification model remains prognostic with novel therapy. However, the TTP, PFS, and OS obtained in high-risk patients treated with Rev-Dex in this study is comparable to overall results in all myeloma patients reported in recent phase III trials. In addition, no significant impact of high-risk features on OS is apparent so far. Longer follow-up is needed to determine the impact of risk stratification on the OS of patients treated with Rev-Dex. Figure Figure

Abstract Background: The combination of lenalidomide and dexamethasone (RD) has been shown to be highly effective as initial therapy for multiple myeloma. More recently, a phase III trial demonstrated improved survival with use of lenalidomide and low dose dexamethasone (Rd). Further improvements by incorporating other active agents may increase the depth of response and may improve long-term outcome. We report the results from a phase II trial combining lenalidomide and low dose dexamethasone with cyclophosphamide (RCd) as initial therapy for newly diagnosed MM. Methods: The trial was initiated in July 2006 and completed the initial target accrual of 33 patients by July 2007 (Cohort 1). Due to high rate of dose reductions in cohort 1, between July 2007 and May 2008 an additional 20 patients were enrolled with lower doses of cyclophosphamide (Cohort 2). The treatment protocol consisted of lenalidomide given orally at a dose of 25 mg daily on days 1–21 of a 28-day cycle. Dex was given orally at a dose of 40 mg on days 1, 8, 15, and 22 of each cycle. Cyclophosphamide at a dose of 300 mg/m2 was given on days 1, 8, and 15 of each cycle in cohort 1 and 300 mg on days 1, 8, and 15 of each cycle in cohort 2. Patients also received an aspirin once daily as thromboprophylaxis. Response was defined as a decrease in serum monoclonal (M) protein by 50% or higher and a decrease in urine M protein by at least 90% or to a level less than 200 mg/24 hours. Responses were assessed on intent to treat basis. Results: 53 patients were enrolled. The median age was 64 years (range, 37–82). 14 patients (29%) had ISS stage III disease. The median number of cycles was 4 (range: 1 – 20). The best response based on all enrolled patients on an intent to treat basis was 83%, including CR:1 (2%), VGPR: 20 (38%), PR: 23 (43%), and less than PR: 9 (17%). The CR plus VGPR rate was 40%. Among the 20 patients in cohort 2 who were enrolled after optimization of the cyclophosphamide dosing, 16 (80%) have already achieved a partial response or better with 17 patients in this cohort still receiving study treatment. Overall, 25 of the 53 enrolled patients have discontinued study treatment. Reasons for ending treatment are: completed study per protocol (14), disease progression (5), adverse event (3) and alternate treatment (3). This includes 3 patients from cohort 2, one completed treatment per protocol, one went to alternate therapy and one patient went off for progression. Hematological toxicity was the most common with grade 4 toxicity seen in 8 patients (only 1 from cohort 2). Non-hematological toxicities included neuropathy, diarrhea, cystitis, and thrombosis. There were 6 patients with grade 4 non-hematological toxicities (none from cohort 2) attributed to the drug (thrombosis, confusion, depression and sepsis). Thirteen patients had dose adjustments, most commonly due to hematological toxicity attributed to lenalidomide or cyclophosphamide. One patient has died off study, of intracranial hemorrhage. The median follow-up for the remaining patients is 7.8 months. Conclusions: The combination of lenalidomide, cyclophosphamide, and dexamethasone (RCd) has excellent activity in the setting of newly diagnosed myeloma. Seventeen patients continue on study and the response rates are likely to be higher with additional followup. Myelosuppression was a significant toxicity leading to dose reductions and cycle delays, and is lower with decreased dose of CTX in cohort 2 without any apparent loss of responses.

Abstract Abstract 3513 To identify targets for rational combination therapies with 5-Azacytidine (5-Aza) in myeloid malignancies, we utilized high-throughput RNA-interference (RNAi) viability screening. A siRNA library targeting 572 kinases and a custom collection of 289 putative cancer targets, including cell cycle and apoptosis regulatory genes, were screened alone and in combination with 5-Aza in TF-1 and ML-2 myeloid leukemia cell lines to identify synergistic interactions in reducing cell viability. Of the 572 kinases that were individually silenced, less than 1% significantly increased sensitivity to 5-Aza. The kinase library was also screened in combination with 5-Aza in a third myeloid cell line, THP-1, confirming that few kinases sensitize to 5-Aza when inhibited. While few kinases sensitized to 5-Aza, the anti-apoptotic Bcl-2 family of genes emerged as potent sensitizers to 5-Aza from RNAi screens. Therefore, silencing by siRNA of BCL-XL, BCL-2, BCL-W, MCL-1 and BFL-1 was evaluated in combination with 5-Aza treatment in an expanded panel of myeloid cell lines including TF-1, HEL, THP-1, ML-2 and MDS-L. BCL-XL validated as a vulnerability and potent sensitizer to 5-Aza in erythroid leukemia cell lines TF-1 and HEL, whereas MCL-1 was a strong vulnerability in the monocytic leukemia cell line THP-1 and also a moderate sensitizer to 5-Aza in ML-2, THP-1, TF-1 and HEL. Published proteomics data from our group indicate that M6 and M7 leukemias exhibit higher levels of BCL-XL, while additional unpublished data suggest elevated levels of MCL-1 in M4 and M5 leukemias, supporting our functional observations. Additionally, data from the public database Oncomine suggest that BCL-XL expression is elevated in M6 and M7 leukemias while MCL-1 shows a trend towards elevation in M4 and M5 leukemias. Based on RNAi screening results, siRNA validation experiments and proteomic/mRNA expression data, we evaluated the BCL-2/BCL-XL/BCL-W inhibitor ABT-737 in combination with 5-Aza. ABT-737 resulted in dose-dependent sensitization to 5-Aza in all AML-derived cell lines examined (including M7, M6, M5, M4 and M2 FAB subtypes) and in the MDS cell line MDS-L; however, no sensitization was observed in the CML cell line K562. In extensive ex vivo experiments with 17 primary specimens, potent synergy between 5-Aza and ABT-737 was observed in AML, MDS and MPN samples, but not in most CML samples examined. Calculations with CalcuSyn software demonstrate synergy, with combination index values as low as 0.2, between 5-Aza and ABT-737 both ex vivo and in vitro. The combination of 5-Aza with ABT-737 resulted in substantial induction of apoptosis, measured by the induction of cleaved caspase 3 in TF-1 and HL-60 cells, as compared to either compound alone. Interestingly, although siRNA silencing of MCL-1 in combination with 5-Aza was potent across several cell lines, and silencing of BCL-XL preferentially in an erythroid differentiation background, ABT-737 with 5-Aza sensitized across a variety of cell lines and all myeloid primary specimens ex vivo. We suggest that inhibition of anti-apoptotic Bcl-2 family members is a most promising rational combination strategy with 5-Aza for the treatment of leukemias. Our results also highlight the potential utility of more specific anti-apoptotic Bcl-2 family inhibitors in the lineage-specific treatment of myeloid malignancies. Disclosures: Off Label Use: AraC in AML. Experimental Agent MK1775. Mesa:Incyte: Research Funding; Lilly: Research Funding; SBio: Research Funding; Astra Zeneca: Research Funding; NS Pharma: Research Funding; Celgene: Research Funding.

Abstract Abstract 3963 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 November 2010, we opened 5 sequential phase 2 trials using the pomalidomide at differing doses with weekly dexamethasone (Pom/dex) regimen to study the efficacy of this regimen. Methods: The five cohorts consisted of: Cohort 1 (N=60): relapsed MM with 1–3 prior regimens, 2 mg dose; Cohort 2 (N=34): lenalidomide refractory, 2 mg dose; Cohort 3 (N=35): bortezomib/lenalidomide refractory, 2 mg dose; Cohort 4 (N=35): bortezomib/lenalidomide refractory, 4 mg dose; and Cohort 5 (N=60) lenalidomide refractory, 1–3 prior regimens, 4 mg dose. Pomalidomide was given orally 2 mg daily or 4mg daily on days 1–28 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 DVT prophylaxis or full dose anticoagulation. Results: A total of 225 patients were enrolled across all 5 cohorts. One patient was ineligible and excluded from analysis. The median age was 63 years (32.0–88.0). The median time since diagnosis was 53 months. Forty percent had high-risk molecular markers. Eighty-nine percent had received previous IMIDs including thalidomide (53%) and lenalidomide (81%). Sixty-two percent had previous bortezomib and 73% had prior transplant. The median follow-up is 12.6 months, but varies from 9.4 months for the most recent cohort to 30 months for the first cohort. Sixty-nine percent are alive and 30% remain progression free. Toxicities ≥ grade 3 are shown in table 1 and patient outcomes are shown in Table 2. Conclusions: Pom/dex is remarkably active and well tolerated even in heavily pretreated patients. Responses are durable. Response rates and toxicity are similar between the 2 mg and 4 mg doses. Disclosures: Lacy: Celgene: Research Funding. Fonseca:Consulting:Genzyme, Medtronic, BMS, Amgen, Otsuka, Celgene, Intellikine, Lilly Research Support: Cylene, Onyz, Celgene: Consultancy, Research Funding.

Abstract Primary central nervous system lymphoma (PCNSL) is an aggressive and incurable variant of non-Hodgkin lymphoma (NHL) that is confined to the central nervous system. Most PCNSL (90%) are part of the immune-privileged site-associated diffuse large B-cell lymphomas (DLBCL). Unlike nodal DLBCL, only a limited number of genetic studies have been performed in PCNSL, partly due to lack of available tissue specimens. Because of the fragmented knowledge of the genomic basis, it is still a matter of debate whether they differ from systemic DLBCL with respect to their molecular features and pathogenesis and also if there is a CNS specific signature. We performed a comprehensive genomic study in a cohort of 22 immunocompetent (HIV- and EBV-) PCNSL. DNA was extracted from FFPE tissues (N=15) and frozen tissue (N=7). Samples were analyzed using a combination of aCGH (N=18), exome sequencing (N=10), mate-pair genome sequencing (N=2) and targeted sequencing (N=8). We found a complex karyotype with a median of 21 copy-number abnormalities (range 10–47), 6 structural abnormalities, 6 frameshift indels and 67 nonsynonymous mutations. By integrating mutation and copy number data we found a group of genes recurrently mutated and/or deleted in PNCSL. Remarkable findings were the high prevalence of MYD88 activating mutations (L265P/M232T/V217F), found in 69% of cases and the biallelic loss of CDKN2A (60%). A subset of recurrent abnormalities was exclusively found in PCNSL, and not being previously identified in systemic DLBCL. Thus, 11% of PCNSL have biallelic inactivation of TOX (a regulator of T-cell development) and PRKCD (protein kinase C delta), while another 17% of cases show focal monoallelic deletions/mutations in these genes. Finally, recurrent mutations have been identified in ATM, which have not been found in nodal DLBCL. Several other genes affected have been previously identified in nodal DLBCL, such as biallelic loss of TNFAIP3 (16%), PRDM1 (16%), GNA13, TMEM30A, B2M and CD58 (11% each), activating mutations of CD79B (28%) and CARD11 (19%) and translocations of BCL6 (22%). Components of the NF-kB pathways were altered in >90% of PNCSL. Pathway analysis also showed an enrichment of networks associated with immune response, proliferation, regulation of apoptosis and lymphocyte differentiation and activation. Finally, we searched for associations between genetic alterations and clinical outcome. We showed that deletions of 6q21 (PRDM1) and 6q23 (TNFAIP3) were both associated with shorter overall survival (p=0.007 and p=0.03, respectively). In summary, we report a genomic background in PCNSL similar to post-GC DLBCL but reinforcing the existence of a subset of abnormalities specific to PCNSL, suggesting their potential relevance in the disease pathogenesis. Additionally, the results obtained from FFPE samples are encouraging and larger archival tissue collections can now be analyzed in order to complement the still fragmented knowledge we have of the genetic basis of the disease. Disclosures: Stewart: Onyx: Consultancy, Research Funding; Millenium: Honoraria, Research Funding; Celgene: Honoraria; BMS: Honoraria. Fonseca:Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy, Research Funding; Binding Site: Consultancy; Millennium: Consultancy; AMGEN: Consultancy; Cylene: Research Funding; Prognostication of MM based on genetic categorization of the disease: Patents & Royalties.

Abstract Abstract 987 Background: IMiD® compounds are effective in immunoglobulin light-chain amyloidosis (AL), a systemic plasma cell disorder related to multiple myeloma (MM). Pomalidomide is a new IMiD® compound. Methods: Persons with symptomatic, biopsy-proved, previously-treated AL were eligible for treatment with pomalidomide if they had measurable hematologic disease, ECOG PS≥2, adequate hematologic reserve and creatinine ≤2.5 mg/dL. Pomalidomide, 2 mg/d, and dexamethasone, 40 mg/w, were given orally along with low-dose aspirin. Dose-escalation to 4 mg/d was allowed for non-responders. Exclusion-criteria were uncontrolled infection, cancer, NYHA classification >II, serum troponin-T >0.1 ng/mL, ≥grade-3 neuropathy, thrombosis or other AL therapy within 2 weeks of enrollment. 31 subjects enrolled, but only 29 are evaluble for toxicity and response due to recent enrollment. Results: Median age was 66 y (range, 52 82 y); 19 were male. Median time from diagnosis to study-entry was 36 mo (range, 0.9–104.1 mo). 24 had cardiac involvement, 10, renal involvement and 8, nerve involvement. Cardiac biomarker staging was: I, N=3, II, 21, and III, N=7. Subjects were extensively pretreated: 28 received an alkylator (including an autotransplant in 13), 15, prior lenalidomide or thalidomide and 12, prior bortezomib. 193 cycles of pomalidomide were given to 29 subjects. 11 subjects had protocol-specified dose-increases (no response) and 16, dose-reductions (AEs). 20 subjects had dexamethasone dose-reductions. ≥Grade-3 AE's ≥possibly attributed to therapy occurred in 21 subjects. 7 of these subjects had only hematologic AE's. Neutropenia was the most common severe AE (N=10); severe thrombocytopenia occurred in 2 subjects. Other grade-3/-4 AEs included infection/fever (N=3); fatigue (N=4), and pleural effusion, ascites/edema, and edema each in one patient. 1 subject each had dyspnea, increased creatinine, thrombosis, muscle weakness, atrial tachycardia, and diarrhea. There were 2 episodes of syncope attributed to AL rather than therapy. A subject died 5 d after beginning therapy presumably from cardiac AL. As of 7/27/010, median time on-study is 8.4 mo (range, 0.2–16.2 mo). 18 subjects discontinued therapy for: progression/death (N=9); consent withdrawal (N=4), AE (N=3) and physician choice (N=2). Overall hematologic response rate (N=29) is 38% (95% CI, 20–58%) There were 8 PRs and 3 VGPRs including 4 PRs and 2 VGPRs among 14 subjects failing prior lenalidomide and/or thalidomide. 3 subjects had confirmed organ responses (2 heart and 1 kidney) and 4 unconfirmed organ responses. 1 y survival and PFS are 77% (95% CI, 60–98) and 56% (95% CI, 36–85). Conclusion: These data suggest that pomalidomide could provide a safe and effective therapy in previously-treated persons with AL including those failing lenalidomide and/or thalidomide. Disclosures: Dispenzieri: Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Off Label Use: Non-FDA approved indication. Gertz:Celgene: Honoraria. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding. Fonseca:Amgen: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy, Research Funding; Genzyme: Consultancy; Onyx: Research Funding; Otsuka: Consultancy; Medtronic: Consultancy. Bergsagel:Celgene: Consultancy; Centocor: Consultancy; Genentech: Consultancy; Amgen: Consultancy; Novartis: Consultancy. Stewart:Millennium: Consultancy; Celgene: Honoraria. Lacy:Celgene: Research Funding.