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Abstract Background Multiple myeloma (MM) is uncommon in patients below 40 years of age. Between 1960 and 1992 when stem cell transplantation (SCT) was rarely performed and novel agents were unavailable, overall survival (OS) was reported to be 54 months in the Mayo Clinic series of patients with MM below forty years of age. The impact of novel agents or SCT in this population is unclear. Herein, we report the outcomes of patients under 40 years of age who were evaluated over a span of more than five decades with a focus on the periods contemporaneous with the introduction of SCT and novel agents, the major therapeutic milestones in the management of MM. Methods We analyzed the medical records of patients with MM under 40 years of age who were evaluated at Mayo Clinic, Rochester, MN between 1/1/1960 and 12/31/2011. SCT and novel agents were utilized infrequently prior to the years 1990 and 2000, respectively. Patients were therefore divided into three cohorts by the year of diagnosis of MM: Group A (1960 -1979), Group B (1980 to 1999) and Group C (2000 –2011) to assess the impact of major therapeutic advances (i.e. Increased utilization of SCT and novel agents compared to conventional chemotherapy). OS was calculated by the Kaplan -Meier method. Results Out of 8063 unique MM patients seen at our institution during this period, 174 (2%) patients were under 40 years of age at diagnosis. The median age at diagnosis was 36 years (range: 19-39). The estimated median follow-up of the entire cohort was 179 months (95% CI: 149-196 months). The median OS of the entire cohort was 76 months (95% CI: 45-80 months) from diagnosis. The median OS of patients in Groups A (n=29, 17%), B (n=93, 53%), and C (n=52, 30% ) was 44 months (95% CI: 20- 76), 79 months (95% CI: 46-97), and 92 months (95% CI: 42-NR), respectively (p=0.005). No significant OS difference was noted between Groups B and C (Figure). Sixty-six (38%) patients underwent at least one SCT (autologous: 56 patients and allogeneic 10 patients). The utilization of SCT increased over the three time periods from Group A 0%, Group B 39% and Group C 58% (p<0.001). Of 153 patients in whom front-line therapy-related data were available 118 (77%) received conventional and 35(23%) received novel agents. The median OS of patients who underwent transplantation (n=66) was 93 months compared to 46 months for those who did not (n=108, p=.01). In the 66 patients who underwent SCT, the median OS was 93 months for conventional agents-based induction (95% CI: 73-143) versus 97 months (95% CI: 41-187) for novel agent based induction (p=.4). Sixty-eight (40%) patients received novel agents at some point during the course of their disease [bortezomib 35 (54%), thalidomide 44 (67%), lenalidomide 47 (71%) and pomalidomide 7(11%)]. The median survival of these patients was 131 (95% CI: 88-161) months versus to 46 (CI: 37-74) months for those (n=106) receiving conventional agents only (p=0.0002). Conclusions OS of patients with MM under 40 years of age in the pre-transplant era (Group A) was significantly shorter than that of patients diagnosed in the era of SCT (Group B) and SCT plus novel agents (Group C). Although improvement of survival outcomes is evident with utilization of novel agents, similar outcomes of Groups B and C indicate lack of incremental benefit over SCT with utilization of novel agents. Maximal survival gain coincides with the introduction of SCT in this unique patient cohort. Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Onyx: 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 4120 Introduction: Autologous stem cell transplantation (ASCT) remains an effective treatment for immunoglobulin light chain (AL) amyloidosis but its high treatment related mortality is a concern. The development of acute renal failure can strongly affect the survival of these patients. This study looks at the impact of the timing of dialysis initiation on the overall survival (OS). Methods: AL patients who underwent ASCT from 3/96 to 1/10 were selected. Patients were placed into 4 groups: I - never dialyzed, II - initiated dialysis prior to ASCT, III - dialysis began within 30 days of ASCT and IV - dialysis was started after 30 days of ASCT. Results: Four hundred and ten patients were selected for study and 75 (18.3%) received dialysis. Baseline characteristics are listed in Table 1. In univariate analysis, serum creatinine (Scr) and b-2 microglobulin (b2m) were associated with dialysis post-ASCT. Both became non-significant in the multivariate model suggesting they are co-dependent. Dialysis had a strong influence on survival, p < 0.001 (Fig 1). This was most evident when dialysis was started after ASCT (group III (p = 0.003) and IV (p = 0.004)), but not before (II, p = 0.19).To explore the interactions of dialysis with cardiac biomarkers in their relationship with OS, cardiac troponins T (cTnT) and N terminal-pro-brain natriuretic peptide (NT-pro-BNP) were analyzed with timing of dialysis in a proportional hazard model. Timing of dialysis (p < 0.001), cTnT (p = 0.03) and NT-pro-BNP (p = 0.03) all were associated with OS. Using Receiver Operator Characteristic (ROC) curves, best cut points were chosen for cTnT (0.01 ng/ml) and NT-pro-BNP (1350 pg/ml) for survival. When treated as categorical variables, the proportional hazard model found that only NT-pro-BNP (p = 0.002) and timing of dialysis (p < 0.001) were independent predictors of OS but cTnT had loss its significance (p = 0.07). Using Kaplan Meier method, dialysis was a significant risk factor in patients with low cTnT and both high and low NT-pro-BNP (p < 0.001) but not in patients with elevated cTnT (p = 0.25). Discussion: The timing of acute renal failure strongly affects the OS of AL patients undergoing ASCT. In our study, patients who started dialysis prior to ASCT did not have an inferior OS compared to patients who never needed dialysis. On the other hand, starting dialysis after ASCT significantly shortened OS. The timing of dialysis was an independent predictor of OS even when combined with cardiac biomarkers. NT-pro-BNP appears to be the stronger marker when timing of dialysis is considered in the multivariate analysis. Disclosures: No relevant conflicts of interest to declare.

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 NF-κB is a transcriptional factor promoting tumor cell growth and inhibition of apoptosis via regulating expression of proteins modulating cell cycle and anti-apoptosis. NF-κB is constitutively associated with an inhibitor (IκB), which is phosphorylated by IκB kinase (IKK) upon cell stimulation (ie, TNFα) and subsequently degraded by ubiquitin-proteasome pathway, thereby allowing NF-κB to translocate to nucleus. We have previously shown that an IKK inhibitor PS-1145 partially (20–50%) inhibits MM cell proliferation; however, it inhibits both IL-6 secretion from BMSCs triggered by MM cell adhesion and proliferation of MM cells adherent to BMSCs. Targeting IKKβ is therefore a possible therapeutic option for inhibition of MM cell growth in the bone marrow microenvironment by downregulating NF-κB activity. In this study, we further delineated the biologic significance of IKK inhibition in MM cells using IKKβ specific inhibitor MLN120B (Millennium Pharmaceuticals, Cambridge, MA). MLN120B induced 60–90% growth inhibition in cells from the MM cell lines RPMI8226, RPMI/Dox40, RPMI/LR5, U266, and INA-6; on the other hand, it induced only 25–30% inhibition in MM.1S and MM.1R cells, assessed by 72 h tritiated-thymidine uptake. Importantly, neither IL-6 nor IGF-1 overcomes the growth inhibitory effect of MLN120B in both MM.1S and U266 cells. Interestingly, MLN120B significantly augmented TNFα-induced cytotoxicity in MM.1S cells. We next examined whether MLN120B could enhance the cytotoxicity of other agents. MLN120B augmented growth inhibition triggered by doxorubicin and melphalan in RPMI8226 and IL-6 dependent INA-6 cell line. We therefore studied growth inhibitory effect of MLN120B in the presence of bone marrow stromal cells (BMSCs). MLN120B inhibited 70–80% of constitutive IL-6 secretion from BMSCs, without toxicity. Importantly, MLN120B almost completely blocked stimulation of MM.1S, U266 and INA-4 cell growth and IL-6 secretion from BMSCs induced by binding of tumor cells to BMSCs. Finally, MLN120B overcame the protective effect of BMSCs, cell adhesion mediated drug resistance, against dexamethasone in MM.1S cells. Taken together, our data demonstrate that an IKKβ inhibitor induces cytotoxicity in MM cells in the BM milieu, providing the framework for clinical trials of these novel agents to improve patient outcome in MM.

Abstract Abstract 4867 Introduction Both multiple myeloma (MM) and (AL) amyloidosis are clonal plasma cell proliferative disorders. While AL rarely “progresses” to MM, probably due to the shorter survival of AL patients, patients with MM have been reported to develop overt AL at a higher frequency. We conducted this study to identify and describe the clinical features, diagnosis, treatment patterns and response, and outcome among patients diagnosed with AL following an initial diagnosis of MM. Patients and Methods Of the 354 patients identified from a prospectively maintained database who carried a diagnosis of both MM and AL during the interval between January 1990 and December 2008, 44 patients had a histologic diagnosis of AL, at least 6 months after the diagnosis of MM. The organ involvement and treatment response (organ and hematologic) for AL as well as MM response to treatment were assessed according to conventional criteria. Results The median age at diagnosis of MM and AL was 63 years (range, 42-82) and 68 years (range, 45-86), respectively; 27 (61%) were males. The median time to AL diagnosis after MM diagnosis was 41 months (range, 7.6-134). The estimated median follow up from diagnosis of MM and AL is 15.5 years and 10 years, respectively and 39 (89%) patients have died. The median overall survival (OS) from diagnosis of MM and AL was 68.6 months and 9.1 months, respectively. At the time of AL diagnosis, 33 (75%) patients had developed typical features suggestive of AL [heart failure (12), paresthesias (11), nephrotic range proteinuria (9), elevated alkaline phosphatase and hepatomegaly (2), fatigue (7), weight loss (5), macroglossia (4) and periorbital ecchymoses (1)]; while others developed atypical features (3) (7%) or had an incidental finding of AL (8) (18%) [autopsy (2), unexplained cytopenia (2), mild proteinuria (1) and no symptoms (3)]. Cumulatively, amyloid deposits were revealed by biopsy of: bone marrow (23) (52%), subcutaneous abdominal fat (17) (39%), organ (10) (23%) and carpal tunnel tissue (6) (14%). Organ involvement, treatment response and hematologic status of MM at AL diagnosis were assessed for the evaluable patients. None, 1 and >1 organ involvement occurred in 5 (11%), 28 (64%) and 9 (20%) patients, respectively at AL diagnosis or follow up; while AL as the cause of neuropathy was questionable in 2. The organs involved were: heart (14, including 8 with >1 organ involvement), nerves (11), kidney (10), soft tissue (6), lung (5), GI (1) and liver (1). The hematologic status of MM at AL diagnosis included SD (22), progression (10), PR (3), VGPR (3) and not evaluable (6). The subsequent hematologic and organ response did not differ significantly among those who had a treatment change or started (20) (45%) compared with those who did not have a treatment change (20) (45%) at AL diagnosis [excluding those lost to follow up (2) or diagnosed at autopsy (2)]; although more patients (8/10) who had biochemically progressive MM belonged to the former group. The best hematologic response to treatment(s) after AL diagnosis (28) (64%) was: SD (17), PR (3), VGPR (6), CR (1), and progression (1); and not evaluable in others. The organ response (excluding patients with carpal tunnel surgery) to treatment(s) (18) (41%) was: progression (11), stable (4) and organ improvement (3). More patients with an improved (2/3) and stable (1/4) organ response had hematologic PR or better than those with progression (0/11) of organ disease. Five (11%) patients were alive at last follow up; and had either isolated kidney (3) and soft tissue (macroglossia) (1) or no organ involvement (1). All patients with an organ improvement, and 2/5 patients alive, had received PBSCT after AL diagnosis. Fewer patients with >1 organ involvement (1/9) underwent PBSCT compared with those without organ involvement (2/5); and achieved (0) PR versus (3) VGPR (to any treatment), respectively. Only 1/8 patient with an incidental discovery of AL developed symptomatic (cardiac) AL after 108 months of MM diagnosis and died; the remaining are either alive (1) or died from MM and its complications (3), infection (1), or were diagnosed at autopsy (2). Conclusion The recognition of AL (especially cardiac and multiorgan involvement) is critical in MM patients in order to determine prognosis and influence treatment. A high index of suspicion is required for the prompt recognition of AL to ensure timely institution of therapy with a goal of achieving hematologic and organ response. Disclosures No relevant conflicts of interest to declare.

Abstract Abstract 4228 Background Peripheral blood stem cells (PBSC) are the preferred graft type for autologous stem cell transplantation (ASCT) and mobilization is typically done using growth factor (GF) alone or a combination of chemotherapy (CTX) and GF. The success of mobilization is influenced by several factors such as prior therapy, mobilization strategy, underlying disease, among others. Patients (Pts) failing to mobilize successfully often have GF dose increased and if unsuccessful, mobilization is reattempted with chemotherapy + GF or G-CSF (Granulocyte Colony-Stimulating factor) + GM-CSF (Granulocyte–Macrophage Colony-Stimulating factor). More recently, plerixafor, a CXCR4 inhibitor, has been found to enhance G-CSF based collection allowing potential early intervention in poor mobilizers. However, this approach requires valid cut-points for peripheral CD34 counts (pCD34) for cost efficient use. Methods We studied 656 first time, G-CSF based PBSC mobilizers with Non-Hodgkin Lymphoma (562; 86%), or Hodgkin's Disease (94; 14%). Salvage attempts were excluded, as were first attempts using CTX+GCSF, plerixafor or GF combinations. Sensitivity-specificity analysis (Receiver operating characteristic) was used to define ideal cut-points for predefined outcomes. We used a CD34 yield of 2 million/kg as the minimum required collection and 5 million/kg as the ideal collection for the current analysis. Our current practice is to initiate collection at a pCD34 of 10/uL. Results We first determined the best day 1 pCD34 cutoff for being able to collect at least 2 million/kg PBSC to be 9/uL. Among those with ≥9/uL, only 6.6 % failed to collect at least 2 million compared to 55% among the rest (P < 0.001). These numbers were 6.3% and 50% respectively using the traditional cutoff of 10/uL. We then examined how the pCD34 on day 2 predicted collection, among those failing to reach the current threshold of 10/uL. Among this group, a pCD34 on day 2 of 9.1/uL was the best cutoff to predict a collection of 2 million/kg. Among those with >=9.1/uL, only 22% failed to collect at least 2 million compared to 79% among the rest (P < 0.001). Among those with day 1 pCD34 < 10, 49% achieved a count of 9.1/uL on day 2. We then examined what pCD34 on day 1 can best predict a pCD34 ≥ 9.1 on day 2 and found this to be 5.2/uL. Among those with day 1 pCD34 ≥ 5.2/uL, 79% reached day 2 pCD34 ≥ 9.1 compared to 24% among the rest (P < 0.001). We then determined cutoffs based on ideal targets using only those patients achieving pCD34 count > 10/uL by day 2, since these patients would have started collection without any change in the mobilization technique. We used a maximum of 5 collections to achieve the goal as being ideal, taking into account the most commonly used practice of collecting during weekdays. We examined cutoffs for a target of 5 million/kg for one transplant. The best day 1 or day 2 pCD34 predicting a 5 million/kg yield in 5 collections was 17/uL. Among those with day 1or 2 pCD34 ≥ 17/uL, 4% failed to reach 5 million in ≤ 5 days compared to 96% among the rest (P < 0.001). Conclusions This study provides an estimate of optimal pCD34 count thresholds for early identification of patients with lymphoma at high risk of collection failure. It is reasonable to use the first or second day pCD34 count, since a substantial proportion of patients will achieve the threshold value by day 2 and these patients appear to have similar outcome as those reaching the threshold by day 1. Based on the results here, interventions such as addition of plerixafor can be considered if pCD34 count is < 6/uL on day 1 or < 10/uL by day 2, to achieve the minimum collection of 2 million/kg. However, in order to achieve the ideal targets, a higher threshold should be considered and the recommendation based on the current study would be 17/uL for a target of 5 million. Such a target-adapted strategy may be more appropriate. Disclosures: Kumar: Celgene,Genzyme,Millenium,Novartis,Bayer,: Honoraria, Research Funding. Gertz:Genzyme: Research Funding. Micallef:Genzyme: Research Funding.

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.