Citations

Abstract Background Carfilzomib is a proteasome inhibitor that irreversibly binds its target and has been validated as both relapse and upfront therapies for multiple myeloma. To optimize pre transplant response, we combined carfilzomib with the widely accessible backbone of cyclophosphamide-thalidomide-dexamethasone (CTD). We previously reported results of the Phase I component of the trial (in which no MTD was reached); we now report results for the MTD and fully accrued expansion cohorts at the MTD of the CYCLONE trial NCT01057225. Methods Newly diagnosed myeloma patients intended for stem cell transplant were eligible. All patients were treated on a 28 day cycle with carfilzomib IV Days 1,2,8,9,15,16 (see Table below for dosing per cohort) along with cyclophosphamide 300 mg/m2 PO Days 1,8,15, thalidomide 100 mg PO Days 1-28 and dexamethasone 40 mg PO Days 1,8,15,22. The initial phase I/ II regimen is shown below – as no DLTs were observed, we increased dosing of carfilzomib to 36 and then 45mg/m2 and have now nearly fully accrued to the Phase II dose level +1 (27mg/m2) and expansion MTD (36mg/m2). Treatment was for 4 cycles with planned SCT post induction. The primary endpoint of the trial is the proportion of patients who have ≥very good partial response (VGPR) to treatment. All patients received herpes zoster prophylaxis and ASA daily. Results A total of 54 patients have been accrued to the trial, 6 in the initial Phase 1, 21 in the initial Phase II (CFZ 27mg/m2), and 27 at CFZ 36-45mg/m2. Median age was 63 (range 27-77) and 52% were male. ISS Stage was advanced (II-III) in 57% The overall partial response rate or better following 4 cycles of CYCLONE at dose level 0 or greater is 91%: CR 18%, VGPR 58%, PR 16%, MR 2%, SD 4%. One patient withdrew from the trial after cycle 1. At dose level 2, 3/7 patients experienced dose-limiting toxicity in cycle 1 including: grade 3 alanine aminotransferase increase (possibly related); grade 3 infusion reaction (probably related); and grade 4 heart failure with grade 3 dyspnea, atrial fibrillation, and fatigue (all possibly related). No dose-limiting toxicity was observed in 6 patients at dose level 1 and thus DL1 was deemed the MTD. Across dose levels, adverse events are fully evaluable in 48 patients. AEs of grade 3 or higher at least possibly related to CYCLONE occurred in 26 (54%) – 35% non hematological and 33% hematological. Most commonly reported non hematological toxicities (all grades) included fatigue (63%), constipation (46%), elevated creatinine (27%), hyperglycemia (27%), lethargy (25%) peripheral sensory neuropathy (25% - all grade 1), and somnolence (21%); however, grade 3/4 toxicities occurring in >5% were uncommon: hypertension (8%), thromboembolic event (6%) and hyperglycemia (6%). Three cases of pneumonia required hospitalization. There were no cardiac events seen in greater than 5% of patients. Grade 3/4 hematological toxicities included lymphopenia (23%) and neutropenia (17%). All patients advancing to SCT successfully collected stem cells. One patient died on study from pneumonia. 90% completed at least 4 cycles. With median follow-up of 16 months (range 0-64), 1-year PFS was 90% and 1-year OS was 98%. Conclusion The 4 drug CYCLONE regimen is highly efficacious with an overall response rate after only 4 cycles of 91% (76% ≥VGPR) at the dosing level of carfilzomib IV 20/27-36 mg/m2 in newly diagnosed myeloma. Toxicities are manageable, with only grade 1 neuropathy and minimal cardiac or pulmonary toxicity. CYCLONE is a combination that results in rapid and deep responses with minimal neuropathy prior to stem cell transplant. Comparative studies of this regimen with longer duration of therapy (as induction or consolidation) at the defined MTD should be considered. Disclosures: Mikhael: Celgene: Research Funding; Onyx: Research Funding; Sanofi: Research Funding. Reeder:Millenium: Research Funding; Celgene: Research Funding; Novartis: Research Funding. Costa:Otsuka: Research Funding. Stewart:Celgene: Honoraria; Millenium: Honoraria, Research Funding; Onyx: 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 Abstract 2942 Background: Pomalidomide (pom) is a distinct immunomodulatory (IMid) drug with high response rates in relapsed MM, including patients previously treated with thalidomide, bortezomib and lenalidomide. However, its duration of response and long term outcome is unknown. We evaluated the long term outcomes of the first Mayo Clinic cohort of pts treated with Pom. Methods: Pts with relapsed/refractory myeloma with 1–3 prior therapies were enrolled. Pom 2 mg/d was given orally continuously on 28 day cycle with weekly dexamethasone 40 mg. All pts received DVT prophylaxis with aspirin, heparin or warfarin. Results: 60 pts with relapsed MM were enrolled from Nov 2007-Aug 2008. Median age was 65.5; 36 were male. Median time from diagnosis was 45.6 mo (9.–-192.5). Nineteen (32%) were high-risk according to mSMART (msmart.org), and 78% were ISS Stage 2/3. Prior therapies included transplant (65%), bortezomib (33%), thalidomide (47%), lenalidomide (35%) [previous IMiD 60%] and radiation (38%). Toxicities at least possibly attributed to Pom included G3/4 anemia (5/0%), leukopenia (17/3%) and thrombocytopenia (3/0%). G3/4/5 non-hematological toxicities occurred in 30 (50%) and included fatigue (18/0/0%), pneumonia (8/2/2%), hyperglycemia (5/0/0%) and constipation (5/0/0%). Only one pt had grade 3 neuropathy. Treatment adjustment for occurred in 30 pts (50%) for pom (mostly for neutropenia) and 35 pts (58%) for dex. A median of 11.5 cycles were administered. With median follow up of 30.1 months (mo), overall response was seen in 39 (65%) [4 sCR, 5 CR, 16 VGPR, 14 PR]. Median time to first reponse (≥PR) was 1.7 mo (0.8–14.8). Median duration of response (in responders of ≥PR) was 21.3 mo. Median PFS was 13 mo and the 2 year OS rate was 76%. Standard risk pts had median PFS of 18.4 mo and 2 year OS rate was 85%; high risk pts had median PFS of 9.2 mo and 2 year OS rate was 57%. (Figure 1) Conclusions: Pom/dex is highly effective and well tolerated in relapsed MM, with a response rate of 65% even in pts with multiple prior therapies, including other IMiDs, bortezomib and transplant. The response is also durable, with median duration in excess of 21 months. Pom/dex provides long term benefit with median PFS 13 months and 2 year OS rate of 76%. Disclosures: Kumar: Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees. Stewart:Celgene Corporation: Consultancy, Research Funding; Millenium: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Onyx: Consultancy, Research Funding. Fonseca:Consulting :Genzyme, Medtronic, BMS, Amgen, Otsuka, Celgene, Intellikine, Lilly Research Support: Cylene, Onyz, Celgene: Consultancy, Research Funding. Lacy:Celgene: Research Funding.

Abstract Abstract 1024 Background: The MMRC is a non-profit, disease-focused consortium founded in 2004. Sixteen North American member institutions with expertise in multiple myeloma (MM) work collaboratively with the MMRC Inc. (Norwalk, CT) and numerous pharmaceutical partners to speed development of new treatment options to MM patients. In December 2007, MMRC Inc. implemented business solutions to address barriers to rapid activation of phase I-II trials and established benchmarks for initiating and conducting these studies. In December 2010, we reported significantly faster trial start up and accrual data from previous years1,2. Today, we update and expand on MMRC performance data and analysis of progress. Methods: Twenty-five (25) trials conducted within the Consortium from May 2006 to July 2011 had sufficient start up trial data for review. FPFD was defined as the time from the member institutions' receipt of the final protocol (FP) from the trial sponsor, to the time the first patient was dosed on the trial at any participating MMRC member institution. With respect to enrollment, pre-study enrollment commitment (EC) established between MMRC and the study sponsor was defined as the total number of subjects committed to receive at least one dose of study drug across all participating MMRC centers on a trial; baseline enrollment timeline (BET) was prospectively defined as the target time period to attain EC. Results: Mean time to FPFD in the recent group of trials (RG; n=18; Sept 08-Jul 11) held steady at 131 calendar days from receipt of FP as compared to 181 days for the early group of trials (EG; n=7; Jun06-Sept08) representing a 28% reduction in time to FPFD. More importantly, there was a 20% decrease in time to FPFD by all participating MMRC centers on any MMRC trial from 189 days in the RG compared to 236 days in the EG representing an important achievement especially in the Phase I/II arena. MMRC trial accrual data was available for 17/25 trials (2 EG trials were missing data and 6 RG trials continue enrolling). The pre-study mean MMRC EC was 44 subjects per trial (n=19 trials; 849 patients); the mean actual MMRC enrollment was 49 subjects per trial (n=19; 935 patients through July 11) representing a 10% over enrollment versus committed enrollment. A total of 17/19 evaluable trials (89%) met their EC; 12/19 trials met EC within BET (71%) of which 8/12 trials (67%) reached EC 34% faster than their BET (representing a mean reduction of 4.5 months). The overall pre-study mean BET for 19 trials was 13.6 months. MMRC's actual mean enrollment timeline was 12.8 months for the group of 17 evaluable trials representing improvement over the original BET by a mean of 10%. Discussion: MMRC's acceleration of clinical trials provides physicians and patients with rapid access to novel compounds; industry with data for important drug development decisions; and academic institutions with more trials of high scientific interest. Even so, our data uncovered opportunities for improvement. The submission time from receipt of the final protocol from the trial sponsor to Scientific Review Committee (SRC) took an average 30 calendar days across all trials. A reduction to half this time could make a difference to patients and therefore warrants further exploration. Conclusion: Today, drug development in multiple myeloma is fast-paced and highly competitive. MMRC's frequent review of trial metrics provides valuable insight to continually speed answers to physicians, patients and industry. Disclosures: Richardson: Multiple Myeloma Research Consortium: Annual grant in support Clinical Trial Project Management. Vij:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Lonial:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Siegel:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Jakubowiak:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Reece:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Jagannath:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Hofmeister:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Stewart:Multiple Myeloma Research Consortium: Annual Grant in support of clinical trial Project Management. Wolf:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Krishnan:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Zimmerman:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Kumar:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Roy:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Fay:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management. Anderson:Multiple Myeloma Research Consortium: Annual grant in support of clinical trial Project Management.

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 Abstract 602 The molecular target(s) which co-operate with proteasome inhibition in inducing drug sensitivity or resistance in Multiple Myeloma (MM) remain unknown. We therefore conducted a genome scale small interfering RNA (siRNA) lethality study in KMS11 MM cells in the presence or absence of bortezomib without regard to pre-conceived mechanistic notions. Primary screening was performed in a single-siRNA-per-well format with the human druggable genome siRNA set V4 comprising 13,984 siRNA targeting 6,992 genes and comprising two RNAi per gene. siRNA were transfected at low concentration (13nM) to minimize off-target effects using conditions that resulted in transfection of >95% cells and <5% background cytotoxicity. Bortezomib was added (at the IC10, 25, 70 and 90) 24 hours post transfection. After 96 hours (72 hours after bortezomib), viability was measured by ATP-dependent luminescence. In primary screening 320 candidate bortezomib sensitizing genes were identified and rescreened with four siRNA oligos each gene. 57 of the top sensitizer hits were selected for which at least two distinct siRNA decreased the EC50 by 2 standard deviations from cells treated with control siRNAs. By cross referencing gene expression profile (GEP) data of KMS11, we furthered pared the list to 37 plausibly expressed targets (0.5% of those genes originally screened) as bortezomib sensitizers. After silencing, 50% of these 37 genes also sensitized the lung cancer cell line A549 to bortezomib. After further parsing of genes which also modulated the sensitivity of MM to Melphalan (non specific chemosensitizers), 34 genes remained: The strongest sensitizers to bortezomib were the proteasome subunits PSMA5, PSMB2, PSMB3, PSMB7 but included less obvious targets such as BAZ1B, CDK5, CDC42SE2, MDM4, NME7, TFE3, TNFAIP3, TNK1, TOP1, VAMP2 and YY1 were also identified. Of these, the most potent synergetic effects were observed with siRNAs against the proteasome subunits and against cyclin dependent kinase 5 (CDK5), which caused the greatest shift in EC50. CDK5 is of particular interest as a therapeutic target as it is expressed at high levels in MM and neural tissues but has low expression in other organs. Using viral shRNA expression, silencing CDK5 consistently increased the sensitivity of genetically variable MM cell lines (n=5) to all of the proteasome inhibitors tested: bortezomib, carfilzomib and PR047, and the effect could be at least partially rescued by overexpression of an RNAi resistant CDK5. To explore therapeutic relevance the small molecule CDK5 inhibitor, Roscovitin, was shown to be synergistic or additive with bortezomib in both MM cell lines and primary patient samples. Gene expression profiling was then performed to seek an explanation for the CDK5 sensitization effect and regulation of a proteasome subunit PSMB5 by CDK5 was identified as a probable route to sensitization. In summary inhibition of the existing proteasome either directly by suppression of proteasome subunits, or indirectly by suppression of modulators such as CDK5 appears to confer the greatest sensitization effect suggesting that combinations of bortezomib with other unique proteasome inhibitor drugs or combinations with inhibitors of CDK5 is a logical avenue for clinical exploration. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 3854 Poster Board III-790 Background Primary systemic amyloidosis (AL) is an incurable plasma cell disorder. Lenalidomide, especially in conjunction with dexamethasone, has been shown to be active in patients with multiple myeloma. Pomalidomide is a derivative of thalidomide that acts as an immunomodulator. Preliminary data in multiple myeloma demonstrate that this agent is highly active and well tolerated. Methods Eligible patients were accrued into an IRB approved treatment trial with pomalidomide and dexamethasone after signing informed consent. Pomalidomide (2 mg) and dexamethasone (40 mg) were scheduled to be taken orally, the former on a continuous schedule and the latter once weekly. All patients were instructed to take an aspirin daily. Patients were eligible if they had previously treated, biopsy proven, symptomatic AL. Patients were required to have measurable hematologic disease, defined as either a serum M-protein greater than 1 g/dL, a urinary M-protein greater than 200 mg/24-hours, or a serum immunoglobulin free light chain greater than 10 mg/dL. Other eligibility criteria included an ECOG PS>=2, adequate hematologic reserve (ANC>=1000/uL, platelets>=75/uL) and adequate renal function (creatinine <=2.5 mg/dL). They also were required to comply with contraceptive requirements. Patients were excluded if they had uncontrolled infection, another active malignancy, NYHA classification III or IV, a serum troponin T >0.1 ng/mL, >=grade 3 peripheral neuropathy, untreated active thrombosis, or other chemotherapy within 2 weeks of study enrollment. Thirty-four patients are to be enrolled to allow for 2 possible cancels and to provide 90% power to detect a true hematologic response rate of at least 20%. Between 11/24/08-7/28/09, 20 patients have been enrolled. Baseline characteristics and adverse events are available for 17 of the 20 enrolled patients. Results Median age was 63 years (range 52 78), with 60% male. The median time from diagnosis to study entry was 45 months (range 4.5-103). Eighty-two percent had cardiac involvement; 41% renal involvement; 18% peripheral nerve involvement; and 12% autonomic nerve involvement. The cardiac biomarker staging breakdown was: I, 13%; II, 56%; and III, 31%. Patients were heavily treated, with 100% having received prior alkylator (including prior transplant in 9), 44% prior lenalidomide, 31% prior thalidomide, and 37% prior bortezomib. Thirty-three percent of patients had non-hematological adverse events (AEs) >=grade 3 (severe) that were deemed to be at least possibly related to therapy. Thirty-three percent had >=grade 3 hematologic AEs. Neutropenia was most the most common severe hematologic AE; severe thrombocytopenia was observed in only 1 patient, and there was no severe anemia. The most common severe non-hematologic AE was fatigue, which was observed in 3 patients. The only other severe AEs, each of which was observed in one subject each, were pneumonia, weakness, dyspnea, and ascites. As of 8/14/09, 17 patients remain on active therapy. Median time on study is only 3.7 months (range 0.2-8.1). Three patients have discontinued therapy: two progressions; and one death 5 days into treatment, presumably due to cardiac amyloidosis. At the time of this writing response rates could not be calculated given the short follow-up, but hematologic responses have been observed, and details on efficacy will be presented at the meeting. Conclusions Pomalidomide is well tolerated in previously treated AL patients. More information about its activity will be provided at the meeting. Disclosures: Dispenzieri: Celgene: Research Funding. Gertz:Celgene: Honoraria. Kumar:Celgene: Research Funding. Rajkumar:Celgene: Research Funding. Witzig:Novartis: Research Funding. Greipp:Celgene: Research Funding. Fonseca:Celgene: Consultancy. Bergsagel:Celgene: Consultancy. Mikhael:Celgene: Research Funding. Roy:Celgene: Research Funding. Lacy:Celgene: Research Funding.

Abstract Abstract 127 The precise molecular mechanism of action and targets through which thalidomide and related immunomodulatory drugs (IMiDs) exert their anti-tumor effects remains unclear. A landmark paper has recently identified cereblon (CRBN) as a primary target of thalidomide teratogenicity. We hypothesized that this protein would also be required for myeloma (MM) cytotoxicity. To examine this issue we first tested 12 MM cell lines: 4 of which (OCIMY5, OPM1, SKMM2 and KMS12 PE) were very resistant to treatment with both lenalidomide and pomalidomide. Of these, OCIMY5 and OPM1 showed CRBN gene expression levels at the bottom 10% across the human MM cell lines. We next used CRBN shRNA lentiviral expression constructs to knock down CRBN in 5 human-derived myeloma cell lines (HMCLs) (KMS18, MM1.S, H929, OPM2 and JJN3). HMCLs infected with CRBN shRNAs have a significant reduction of CRBN expression and subsequent diminished cell viability (reduced 65–78%). Surviving MM cells with CRBN knock down demonstrate an acquired (essentially complete) resistance to lenalidomide when compared with controls but retained sensitivity to melphalan, dexamethasone and bortezomib. Gene expression changes induced by lenalidomide were dramatically suppressed in those CRBN depleted cells, e.g., OPM2 cells only showed 30 down regulated (3% of control) and 150 up-regulated genes (24% of control) after lenalidomide treatment, further emphasizing that CRBN is required for lenalidomide activity. We next compared by array comparative genomic hybridization the differences between MM1.S (lenalidomide sensitive) and its isogenic lenalidomide resistant line (MM1.S res), generated by culturing MM1.S in gradually increasing concentrations of lenalidomide. Only three structural abnormalities were noted differentiating the two lines one of which was deletion of CRBN. In fact the baseline MM1.S cell line has a minor population of 9% of cells with CRBN depletion which becomes dominant after lenalidomide treatment. However, further scrutiny of CRBN status in additional HMCLs and MM patients (irrespective of therapy and stage) suggested that copy-number abnormalities affecting this gene are uncommon events in MM, with 12% of HMCLs (7 out of 60) and only 1.2% of MM patients (3 out of 238) showing CRBN monoallelic deletion. Next, we examined by quantitative polymerase chain reaction (Q-PCR) ten MM patients who had become resistant to lenalidomide therapy. CRBN expression level by Q-PCR in 8 of 10 patient samples had a significant reduction (20% to 90% reduction compared to baseline) at time of drug resistance, suggesting CRBN expression as a potential biomarker to predict IMiD response. Notably however some clearly resistant patients have normal CRBN, demonstrating that while CRBN is absolutely required for response, multiple resistance mechanisms are likely present. By gene and protein expression downstream targets of CRBN were examined and included interferon regulatory factor 4 (IRF4) previously reported to also be a target of lenalidomide. In summary, we demonstrate here that CRBN is essential for IMiD activity and preliminary data support that low levels of CRBN predict for poor drug response. In addition, our data suggest that CRBN is a critical molecule but not the unique source of IMiD resistance. We suggest that the “IMiDs” be renamed Cereblon binding small molecules to more accurately reflect their mechanism of action. Disclosures: Orlowski: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract Abstract 3853 Poster Board III-789 Background Light chain (AL) amyloidosis is a clonal plasma cell disorder characterized by progressive multiorgan deposition of amyloid fibrils derived from immunoglobulin light chains. Treatment strategies for AL have typically targeted the clonal plasma cell and have paralleled that for myeloma, with recent clinical trials evaluating the role of novel agents such as immune modulatory drugs (IMiDs). Lenalidomide has activity in patients with AL, and given the synergy seen with alkylating agents, we designed a phase 2 clinical trial of cyclophosphamide added to lenalidomide and dexamethasone. Methods Patients (Pts) with newly diagnosed or previously treated AL, with adequate hematological and organ function, were enrolled between December 2007 and November 2008. Treatment consisted of 28-day cycles with Lenalidomide at 15 mg daily (days 1-21), oral cyclophosphamide 300 mg (days 1, 8, 15) and dexamethasone 40 mg weekly. All patients received aspirin for thromboprophylaxis. Hematological and organ responses were assessed using conventional response criteria. Results Thirty-five pts, 11 (31%) previously treated, with a median age of 64 yrs (range 44-82) were enrolled. Median time from diagnosis to trial enrollment was 1.6 mos (range; 0.1- 129) and 23 (66%) were alive at the time of analysis with a median follow up of 8.7 mos (range; 1.5-17.6). Three or more organs were involved in 10 (28%) pts with cardiac and renal involvement present in 22 (63%) and 27 (77%) respectively. Fifteen pts (44%) had advanced stage III disease by the troponin/ NT-ProBNP staging system. Seven (20%) pts had previous stem cell transplant, one pt had thalidomide and others had melphalan, dexamethasone or a combination of the two. The median duration on study was 6.5 months and the median number of cycles administered was 6, with 27 (77%) patients completing at least 3 cycles of therapy. Thirteen patients still remain on study, with the most common reason for study discontinuation being toxicity (10 pts, 45%). There were 15 (43%) and 24 (69%) episodes of Grade 3 or 4 hematologic and non-hematologic adverse events respectively. The most common non-hematologic toxicities seen were fatigue, edema, constipation and rash. Six patients died while on study due to sepsis (1), multiorgan failure (1), arrhythmia (1), or heart failure (3). The overall hematologic response rate was 60% (21 pts; CR (2), VGPR (10) and PR (9)); 79% for stage I and II pts and 40% for stage III patients. Among those patients receiving at least four cycles, the response rate was 20/23 (87%); 2CR, 10 VGPR and 8 PR. At least one organ response was documented in 8 (24%) patients. The median overall survival (OS) for all enrolled patients is 16.1 mos (95% CI; 10.8-NR). The median OS was not reached for stage I and stage II patients, and was 7 mos (95% CI; 4.6 - 16.1) for stage III pts. The median time to hematologic progression was 16.1 mos and to hematologic or organ progression was 6.7 mos (95% CI; 6.3, 16.1). The median OS among those with a hematologic response was 16.1 mos, and not reached among the group with a VGPR or better. Among the 31 patients with measurable FLC, those (n=24) with a ≥50% decrease in the difference between light chains had superior OS compared to the rest (16.1 mos vs. 4.3 mos). The six patients who died on study all had cardiac involvement and significantly higher NT-ProBNP/ BNP compared to the rest. Conclusion The combination of cyclophosphamide, lenalidomide and dexamethasone has significant activity in patients with light chain amyloidosis. Toxicity is manageable with dose reductions, but patients with advanced cardiac involvement are at a higher risk for toxicity and early discontinuation of therapy. Future trials with this combination should compare this regimen with other treatment approaches in selected patients, as well as pursue a dose-adapted strategy in those with advanced cardiac involvement. Disclosures: Kumar: CELGENE: Research Funding; MILLENNIUM: Research Funding; BAYER: Research Funding; GENZYME: Research Funding; NOVARTIS: Research Funding. Gertz:celgene: Honoraria; millenium: Honoraria, Membership on an entity's Board of Directors or advisory committees. Dispenzieri:Celgene: Research Funding.