Buadi, Francis K.

Abstract Abstract 4518 Introduction: Autologous stem cell transplant (PBSCT) is an integral part of the management of Multiple Myeloma (MM). Available data suggest that the timing of PBSCT has no effect on overall outcome. Some patients currently opt to delay their transplant, especially in this era of proteosome inhibitors and iMIDs. In such patients the best time for stem cell collection is unknown. We conducted a retrospective study looking at early stem collection and storage compared to stem cell collection at the time of transplant in patients who opt to be transplanted at a later date. Method: All patients who had PBSCT performed more than one year from the time of diagnosis were reviewed. Two groups of interest were then evaluated. Early collection (ET): those who had stem cells collected within 6 months of diagnosis, and Late collection (LT): those who had stem cells collected more than 1 year from diagnosis and within 3 months of PBSCT. Results: Table 1 shows some patient characteristics. 334 patients were identified, ET (85) and LT (249). Gender distribution, Durie Salmon stage, immunoglobulin subtype and cytogenetic abnormalities were similar in both groups. The LT group was older 60 yrs compared to ET 56.6 yrs, P=0.02. More patients in the ET (77%) group were mobilized with cyclophosphamide compared to LT (51%) p<0.0001. Stem cell yield was similar in both groups 9.26 × 10(6) CD34/kg in ET and 8.19 × 10(6) in LT, P=0.16. Median number of collections was 3 in both. More patients in the LT (67%) received Melphalan 200 mg/m2 conditioning compared to ET (59%) p=0.03. Neutrophil engraftment occurred at day + 11 ET and +12 (LT) p<0.0001. ET patients achieved platelet engraftment on day + 13 compared to + 15 (LT) p=0.002. Complete response rates were similar 30% (ET) and 34% (LT). Duration of response after PBSCT was not different 12.6 months (ET) and 11.6 months (LT). Median overall survival from diagnosis was 70.5 months (ET) and 74.5 months (LT) p=0.5. Similarly there was no difference in overall survival post PBSCT 33.5 month (ET) and 32.2 months (LT). Conclusion: Stem cell collection and storage early in the disease course of multiple myeloma results in early engraftment compared to stem cell collection at the time of transplant in patients who opt for a delayed transplant. More studies looking at cost analysis will however be need to determine the cost effectiveness of early versus late stem cell collection. Disclosures: Dispenzieri: Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding. Gertz:Celgene: Honoraria; Millennium: Honoraria, Membership on an entity's Board of Directors or advisory committees.

Abstract BACKGROUND: Necrobiotic Xanthogranuloma (NXG) is a rare chronic granulomatous disorder of the skin associated with monoclonal gammopathies (MG). Due to its rarity, data on response to various therapies are largely limited to single case reports or small case series. Hence, we described the clinical features in patients with NXG and MG as well as their subsequent disease course and response to treatment. METHODS: This was a retrospective study evaluating 35 patients with NXG and coexisting MG from 1994-2015 who were evaluated in the Hematology Outpatient Clinic at the Mayo Clinic, Rochester. All patients had a biopsy proven diagnosis of NXG with the concurrent presence of a serum monoclonal gammopathy. RESULTS: The median age at diagnosis was 56 years (range: 26-88). Most patients had a plasma cell dyscrasia (28 MGUS; 5 Smoldering myeloma) while 2 had chronic lymphocytic leukemia. Themost common monoclonal (M) protein was IgG kappa (60%). The median M-spike was 1.1 g/dL (range: 0-3). The most common site of NXG was periocular (66%). All patients received treatment, with over half requiring >3 different lines of treatment. The treatments were heterogeneous and included excision, intra-lesional injection, radiotherapy as well as systemic treatment. The types of systemic treatment used and clinical response are reported in Table 1. The median follow up was 46 months (range: 4-234) and the median survival was not reached but at the time of analysis 80% were still alive. At last follow-up, 80% of patients had signs of either clinical improvement or stable skin disease. Eight patients (23%) had disease progression to multiple myeloma at a median of 67 months (Range: 21 - 107). CONCLUSIONS: We report the clinical findings and treatment outcomes of one of the largest series of patients with NXG associated with MG. The clinical course is generally indolent but malignant transformation is not uncommon. Cutaneous objective responses can be achieved with various systemic agents used in the treatment of lymphoproliferative malignancies. Table 1. Treatment Types and Clinical Response Rates Treatment No of patientsA Clinical Benefit Rate B Response rateC Chemotherapy - Chlorambucil +/- Steroids - Melphalan/Steroids - Cytoxan/Steroids - Cladribine - Vincristine/doxorubicin/dexamethasone - High dose therapy with stem cell rescue - Fludarabine/cyclophosphamide/rituximab 5 3 4 3 2 3 1 2/5 (40%) 0/3 (0%) 1/4 (25%) 1/3 (33%) 1/2 (50%) 2/3 (67%) 1/1 (100%) 1/5 (20%) 0/3 (0%) 0/4 (0%) 1/3 (33%) 0/2 (0%) 2/3 (67%) 1/1 (100%) Novel agents - Thalidomide +/- Steroids - Lenalidomide +/- Steroids - Bortezomib +/- Steroids - Bortezomib/Lenalidomide/Dexamethasone 11 14 4 1 5/11 (45%) 10/14 (71%) 2/4 (50%) 1/1 (100%) 4/11 (36%) 7/14 (50%) 1/4 (25%) 1/1 (100%) Intravenous immunoglobulin 4 3/4 (75%) 2/4 (50%) Systemic steroids alone 11 4/11 (36%) 4/11 (36%) Rituximab 6 2/6 (33%) 1/6 (17%) AntibioticsD 3 0/3 (0%) 0/3 (0%) ImmunosuppressantsE 6 1/6 (17%) 0/6 (0%) ANo of patients who underwent a particular therapy amongst the 35 patients in the study cohort. BClinical Benefit: Improvement or stable skin disease CResponse: Improvement in skin disease DAntibiotics: Fluoroquinolones, Tetracycline EImmunosuppressants: Cyclosporine, Methotrexate, Plaquenil Disclosures Kumar: Celgene, Millennium, Onyx, Novartis, Janssen, Sanofi: Research Funding; Celgene, Millennium, Onyx, Janssen, Noxxon, Sanofi, BMS, Skyline: Consultancy; Skyline, Noxxon: Honoraria.

Abstract Background: Ixazomib is an experimental, orally bioavailable, proteasome inhibitor that has demonstrated anti-tumor activity in relapsed multiple myeloma (MM). In the dose escalation studies, ixazomib was tolerated up to a dose of 5.5 mg given every week as a single agent, while a dose of 4 mg was utilized in the combination studies with lenalidomide. We undertook this study to examine the efficacy and tolerability of the two doses of ixazomib in combination with dexamethasone in patients with relapsed MM. Patients and methods: This was a randomized phase 2 study of two doses of ixazomib (4mg; Arm A or 5.5 mg; Arm B) given weekly for three weeks with a week off along with weekly dexamethasone (40 mg) in patients with relapsed MM, who are proteasome inhibitor na•ve (including bortezomib) or have received less than 6 cycles of therapy with bortezomib and had a PR or better with no progression at the time of discontinuation. The primary objective was to determine the confirmed overall response rate (>=PR); secondary objectives included progression free and overall survival. A total of 71 patients were accrued from February 2013 to April 2015; one patient was ineligible. Results: Baseline characteristics were similar in the two arms; median age across the study was 70 years (46-84); 53% were male. Median number of prior therapies was 4 (range 2-6); 90% of the patients had prior IMiDs, 70% had prior transplant and 29% had prior bortezomib. At a median follow up of 10 months, 17 (49%) and 19 (54%) of patients had disease progression in arms A and B respectively with 12 (34%) patients in each arm still continuing on treatment. All patients in each arm were evaluable for response; the overall response rates were 31% in arm A (95%CI: 17-49) and 51% (95%CI: 34-69) in Arm B. The depth of response, event free survival and overall survival are outlined in Table 1. Among the patients with no prior bortezomib exposure the response rates were 38% for Arm A and 52% for Arm B. The treatment was well tolerated with 2 patients in each arm discontinuing treatment for adverse events; there were no on study deaths. A grade 3 or higher AE that was at least possibly related to treatment was seen in 21% and 54% in Arms A and B respectively; with 15% and 37% hematologic and 6% and 29% non-hematologic AEs. The most common attributable toxicities encountered included fatigue, thrombocytopenia, diarrhea and nausea with more grade 3 toxicities among Arm B. Peripheral neuropathy, possibly related to ixazomib, was seen in 55% (only grade 1 or 2) in arm A and 43% (2 patients with grade 3) in Arm B. Toxicities led to dose reduction of ixazomib in 17% and 43% of patients in Arm A and B respectively; the median number of cycles administered were 5 (1-24) and 5 (1-22) respectively. Conclusions: Ixazomib in combination with dexamethasone was well tolerated with significant anti-myeloma activity in this group of patients with relapsed MM. Deep responses including stringent CR were observed. The higher dose of ixazomib appears to be associated with a higher response rate but with higher rate of adverse events requiring dose reductions. Table 1. Treatment outcome in all patients Arm B (4 mg) (N=35) Arm C (5.5 mg) (N=35) Response Rate 31% (95%CI: 17-49) 51% (95%CI: 34-69) No. of Responders 11 18 sCR 0 1 CR 1 0 VGPR 7 8 PR 3 9 MR 5 1 Median Overall Survival1 NA NA 6 Months 100% 100% Median Event Free Survival1,2 8.4 mos (95%CI: 4.3-13.2) 8.2 mos (95%CI: 3.8-16.3) %Event Free at 6 Months 60% (95%CI: 45-81) 60% (95%CI: 45-81) Median Duration of Response1 16.7 mos (95%CI: 9.3-22.0) 16.3 mos (95%CI: 7.0-20.1) Median Time to Response 1.1 mos (range: 0.8-3.6) 1.0 mos (range: 0.8-7.5) CI: confidence interval; mo: month; NA: not attained 1Kaplan Meier 2Event-free survival time is defined as the time from registration to the first of disease progression, death due to any cause, or subsequent treatment for multiple myeloma. Disclosures Kumar: Celgene: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Skyline: Consultancy, Honoraria; Onyx: Consultancy, Research Funding; Novartis: Research Funding; Janssen: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; BMS: Consultancy.

Abstract Abstract 3468 Engraftment syndrome (ES) is a complication of hematopoietic stem cell transplantation classically characterized by fever, rash, diarrhea, weight gain and non-cardiogenic pulmonary edema. Renal failure has been observed but is not considered to be a major part of the syndrome. We have noted that acute renal failure (ARF) is common around the time of leukocyte engraftment in light chain amyloidosis (AL) patients after autologous stem cell transplant (ASCT). We suspect this is due to ES and this retrospective review was conducted to further study this entity. Data were collected from 377 AL patients who underwent ASCT from 7/1997 to 10/2009. Patients who experienced an elevation of serum creatinine (Scr) > 0.5 mg/dl within 4 days of leukocyte engraftment were selected. Patients who carried a diagnosis of ES were also included regardless of Scr elevation. Nephrotoxic insults were reviewed. Vitals were collected. Forty-one patients met criteria. Four patients were found not to have ES, 2 sepsis, 1 allergic interstitial nephritis (AIN), 1 acute cellular rejection. ES was noted in 37 (9.8%) patients, 2 presented with mainly pulmonary ES and 8 had both pulmonary and renal involvement. The degree of renal failure varied from mild and self-limited to severe and requiring dialysis. The renal failure is usually preceded by fever, rash, increasing edema, relative hypotension and low urine sodium (Figure 1). Treatment with glucocorticoids (60 mg/d) was successful in reversing the renal failure in most patients but those with pulmonary involvement required higher doses. Our study showed that ES presents more commonly with renal failure than pulmonary involvement in AL patients. Further complications may be prevented by early treatment with corticosteroids once infection is ruled out. Dosing depends on concurrent pulmonary findings. Distinguishing ES with AIN is difficult as presentations are similar but AIN will continue until the offending drug is removed while ES generally responds quickly to steroids alone. Figure 1. Figure 1. Disclosures: Dispenzieri: Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding.

Abstract Abstract 3031 Background: Treatment-induced peripheral neuropathy (TIPN) can be a debilitating side-effect as well as a therapy-limiting complication in multiple myeloma (MM). Thalidomide (THAL) and bortezomib (BTZ) are two therapies frequently associated with TIPN in MM. Carfilzomib (CFZ) is a novel and highly selective epoxyketone proteasome inhibitor that differs from BTZ both structurally and mechanistically. CFZ overcomes BTZ-resistance in vitro, lacks the off-target activities of BTZ in preclinical studies, and does not cause neurotoxicity in long-term (6–9 month) chronic animal toxicology studies (Kirk et al. Blood, 2008). Single-agent CFZ produces durable responses in relapsed or refractory (R/R) MM without dose-limiting PN. Here we report on the clinical experience with single-agent CFZ in the Ph 2b PX-171-003-A1 trial in patients (pts) with R/R MM and Grade (G) 1/2 PN at study entry. Methods: Pts received CFZ at 20 mg/m2 IV, on Days 1, 2, 8, 9, 15, and 16 in a 28-day cycle (C) for the first C followed by 27 mg/m2 thereafter for up to 12 C. Pts completing 12 C were eligible to enter an extension study. Responses and progression were determined according to the International Myeloma Working Group (IMWG) criteria and were assessed by an Independent Review Committee (IRC). PN data were collected for all pts on study and included neuropathy history, neurological physical exam and PN-related quality of life data (FACT-GOG/NTx v 4.0 scores) collected at screening. Prospective neurological exams and subjective reporting of PN occurred every 2 cycles until study discontinuation to proactively assess for PN. Adverse event (AE) data were also collected, with AEs reported as ‘neuropathy peripheral', ‘neuropathic pain', ‘neuropathy', and ‘peripheral sensory neuropathy' included as PN. AE reports of ‘paraesthesias' and ‘dysesthesias' were counted separately. Results: Of the 266 pts with R/R MM in PX-171-003-A1, 237 (89%) had a history of PN which was attributable to prior anti-myeloma therapy, including THAL (108 pts/41%), BTZ (134 pts/50%), or both BTZ and THAL (17 pts/6.4%). 206 of the 266 (77%) had G1/2 PN at baseline and a median disease duration of 5.9 years. This subset with active PN at baseline had received a median of 5 prior lines of therapy (range 1–20), with a median 13 anti-myeloma agents, and a median of 2 prior BTZ- and 1 prior THAL- containing regimens. Prior therapies included 100% BTZ, and 100% either THAL (77%) or prior lenalidomide (95%). Responses in the subset of pts with baseline PN were nearly identical to those seen in the full study population with an overall response rate (ORR; ≥ partial response [PR]) of 24% and a clinical benefit response rate (CBR; ≥ minimal response [MR]) of 36%. The median duration of response (≥PR) was 7.4 mo (95% CI 5.6–not reached) and median duration of MR was 6.3 months in both the overall and PN-baseline cohorts. OS and TTP data will also be reported. The most common treatment-emergent ≥G3 adverse events regardless of relationship to study drug were primarily hematologic and were as follows: thrombocytopenia (24%), anemia (21%), lymphopenia (11%), pneumonia (9%), neutropenia (9%), fatigue (7%), hypercalcemia (7%), and hyponatremia (6%). Although 77% of pts had G1/2 PN at baseline, new onset PN was infrequent with PN AEs of any grade reported in 31 (15%) pts and G3 PN reported in only 1 (0.4%) pt. New onset or worsening of paraesthesias (6.8%) and dysesthesias (0%) was also infrequent. Conclusions: Analysis of the subset of pts (77%) with active PN (G1/2) in this single-agent Ph 2 trial of CFZ in pts with R/R MM demonstrated that PN has no impact on depth or durability of responses, or on the tolerability of CFZ, in heavily pretreated pts with multiply relapsed and refractory MM. Reports of new or worsening PN were very uncommon, and paraesthesias and dysesthesia were generally infrequent and mild. CFZ can be given to pts with baseline PN with little risk of exacerbation; prolonged therapy is possible in this population. Disclosures: Martin: Celgene: Honoraria; Onyx: Consultancy. Singhal:Celgene: Speakers Bureau; Takeda/Millenium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Onyx: Research Funding. Vij:Onyx: Honoraria. Wang:Celgene: Research Funding; Onyx: Research Funding; Millenium: Research Funding; Novartis: Research Funding. Stewart:Millennium: Consultancy; Celgene: Honoraria. Jagannath:Millenium, OrthoBiotec, Celgene, Merck, Onyx: Honoraria; Imedex, Medicom World Wide, Optum Health Education, PER Group: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Lonial:Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Onyx: Consultancy, Research Funding. Jakubowiak:Millennium Pharmaceuticals, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria; Centocor Ortho Biotech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Exelixis: Consultancy, Honoraria, 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. Kukreti:Celgene: Honoraria; Roche: Honoraria; Ortho Biotech: Honoraria. Alsina:Millenium: Consultancy, Research Funding; Celgene: Research Funding; Novartis: Consultancy. Zonder:Millenium: Consultancy, Honoraria, Research Funding; Cephalon: Research Funding; Celgene: Honoraria. Wong:Onyx Pharmaceuticals: Employment. Vallone:Onyx Pharmaceuticals: Employment. Chang:Onyx Pharmaceuticals: Employment. Kauffman:Onyx Pharmaceuticals: Employment. Siegel:Millenium: Consultancy, Honoraria; Celgene: Consultancy, Honoraria.

Abstract Abstract 3572 High dose melphalan and autologous stem cell transplantation (ASCT) is an effective treatment for light chain amyloidosis (AL) but high treatment related mortality (TRM) limits its use. Both cardiac troponin T (cTnT) and N-terminal-pro-brain natriuretic peptide (NT-pro-BNP) are sensitive predictors of high risk patients. Aim of this study is to compare two models of TRM, one using cTnT and the other BNP. Patients who underwent ASCT between 7/1996 and 7/2009 at the Mayo Clinic were analyzed retrospectively. Variables were chosen for ease of measurement and reproducibility thus echocardiographic parameters were excluded. Each additional risk factor must contribute to a significant increase in TRM. Also, since NT-pro-BNP and cTnT are already highly associated with mortality, the other risk factors must be independent predictors. Univariate analysis revealed serum albumin, B-2-microglobulin, cTnT, NT-pro-BNP, and uric acid were associated with TRM while age, sex, alkaline phosphatase, serum creatinine, CRP, proteinuria were not (Table 1). Multivariate analysis showed albumin and uric acid were independent risk factors to cTnT and NT-pro-BNP (Table 2). Of the 412 patients, 347 (8.9% TRM) could be evaluated by the cTnT, albumin and uric acid (TAU) model and 282 (9.2%) TRM could be evaluated by the NT-pro-BNP, albumin, uric acid (BAU) model. Both models showed increasing TRM with additional risk factors beyond 1 risk factor (Table 3 and 4). Albumin and uric acid were found to be significant contributors in both models. Patients with elevated cTnT alone had a 0% TRM vs 23.4% if they had 1 additional risk factor, p = 0.03. Similarly, TRM was 3.7% in patients with elevated NT-pro-BNP alone but 18.0% if they had 1 other risk factor, p = 0.05. NT-pro-BNP and cTnT could not be used in the same model because cTnT becomes non-significant. Both models were superior to visceral organ involvement which had TRM of 5.3% with 1, 9.2% with 2 and 16.7% with 3 organ involvement. Both models were also predictive of overall survival (Figure 1 and Figure 1b). Our results show that these models show that albumin and uric acid with either cTnT or NT-pro-BNP can accurately predict TRM in AL patients undergoing ASCT. Multivariate analysis shows that the NT-pro-BNP containing model may be superior since cTnT loses it significance when added to the model. Our results suggest these models could be very helpful in identifying high risk patients not suitable for ASCT. Figure 1a Overall survival evaluated by Kaplan-Meier method on 347 patients using the TAU model. Mortality increased significantly with the number of risk factors, p < 0.001. Solid line represents patients with 0 risk factors, dotted line represents patients with 1 risk factor, dashed line represents those with 2 risk factors and dotted dashed line represent those with 3 risk factors. Figure 1a. Overall survival evaluated by Kaplan-Meier method on 347 patients using the TAU model. Mortality increased significantly with the number of risk factors, p < 0.001. Solid line represents patients with 0 risk factors, dotted line represents patients with 1 risk factor, dashed line represents those with 2 risk factors and dotted dashed line represent those with 3 risk factors. Figure 1b Overall survival evaluated by Kaplan-Meier method on 282 patients using the BAU model. Overall survival was significantly longer in patients with less risk factors, p < 0.001. Solid line represents patients with 0 risk factors, dotted line represents patients with 1 risk factor, dashed line represents those with 2 risk factors and dotted dashed line represent those with 3 risk factors. Figure 1b. Overall survival evaluated by Kaplan-Meier method on 282 patients using the BAU model. Overall survival was significantly longer in patients with less risk factors, p < 0.001. Solid line represents patients with 0 risk factors, dotted line represents patients with 1 risk factor, dashed line represents those with 2 risk factors and dotted dashed line represent those with 3 risk factors. Table 1. Patient characteristics Control TRM p-value N 318 29 Age 58 (25–73) 55 (35–75) 0.54 Sex (male) 58.2% 72.4% 0.13 Albumin (g/dl) 2.7 (0.8–4.4) 2.2 (0.8–3.7) 0.02 Alkaline phosphatase (U/L) 89 (28–1014) 86 (31–1394) 0.22 b2m (mg/ml) 2.6 (1.0–35.1) 3.2 (1.3–15.2) 0.007 NT-pro-BNP (pg/ml) 564 (12–35000) 1661 (21–35001) 0.03 CRP (mg/L) 0.3 (0.01–16.6) 0.3 (0.05–3.2) 0.34 cTnT (ng/ml) 0.01 (0–1.0) 0.03 (0.01–0.22) <0.001 Scr (mg/dl) 1.1 (0.4–12) 1.2 (0.8–2.3) 0.09 Proteinuria (g/d) 3.4 (0.01–35.4) 5.1 (0.1–20.5) 0.10 Uric acid (mg/dl) 6.2 (1–14.8) 7.5 (3.7–13.2) 0.02 Organ Involvement 1 94.7% 5.3% 0.04 2 90.7% 9.3% 3 83.3% 16.7% Table 2. Multivariate analysis using proportional hazard model cutoffs >Risk Ratio >p-value Model TAU cTnT 0.04 ng/ml 2.78 0.01 Albumin 3.3 g/dl 3.11 0.03 Uric acid 8.5 mg/dl 2.69 0.02 Model BAU NT-pro-BNP 1270 pg/ml 3.77 0.003 Albumin 3.3 g/dl 3.53 0.04 Uric acid 8.5 mg/dl 3.11 0.03 Table 3. Model of cTnT, albumin and uric acid TAU Risk Factors n TRM p-value Risk Ratio 0 69 2.9% 1 205 5.9% 0.33 2 61 16.4% 0.009 2.98 3 12 41.7% 0.05 8.52 Table 4. Model of NT-pro-BNP, albumin and uric acid BAU Risk Factors >n >TRM >p-value >Risk Ratio 0 28 0% 1 161 5.6% 0.20 2 82 14.6% 0.02 2.7 3 11 45.5% 0.01 10.8 Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding. Dispenzieri:Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Lacy:Celgene: Research Funding.

Abstract Background: Cytogenetic evaluation, especially using fluorescence in situ hybridization (FISH), at the time of diagnosis is essential for initial risk stratification and the employment of risk-adapted treatment strategies in multiple myeloma. Little is known about the occurrence and prognostic significance of cytogenetic evolution during follow up. Methods: We studied 433 patients who were diagnosed with multiple myeloma between January 2000 and December 2011 and had at least two FISH evaluations at Mayo Clinic Rochester, including the diagnostic specimen. Bone marrow aspirates were evaluated for deletions, monosomies, trisomies, and tetrasomies using chromosome- or centromere-specific FISH probes. IGH rearrangements were evaluated using an IGH break-apart probe and up to five potential partners (FGFR3, CCND1, CCND3, MAF, and MAFB). Cytogenetic evolution was defined as a new deletion, monosomy, trisomy, tetrasomy, or translocation during follow up. Multivariable-adjusted logistic regression models were used to assess the associations between the parameters of interest and the presence of cytogenetic evolution in follow-up specimens. Multivariable-adjusted Cox proportional hazards models were used to assess the effect of cytogenetic evolution on overall survival. All models were adjusted for sex, age, the presence of high-risk FISH abnormalities, and the number of abnormalities at the time of diagnosis. Likelihood ratio tests were used to assess the goodness of fit of nested models. The χ2 or Fisher's exact test was used to assess the distribution of cytogenetic abnormalities in subgroups. Results: The median age at diagnosis was 60 years (32 - 82), 264 (61%) of the patients were male. The median overall survival for the entire cohort was 7.0 years (6.2 - 7.8). At the time of diagnosis, 150 (35%) and 57 (13%) of the 433 patients presented with a hyperdiploid karyotype and cytogenetic high-risk abnormalities, respectively. Independent of each other, the presence of a translocation at the time of diagnosis was associated with decreased odds of cytogenetic evolution during follow up (OR 0.39, 95% CI 0.24 - 0.63, p < 0.001) while the presence of at least one trisomy or tetrasomy at the time of diagnosis was associated with increased odds (OR 2.53, 95% CI 1.37 - 4.70, p = 0.003). A greater proportion of patients presenting with a hyperdiploid karyotype experienced cytogenetic evolution during follow up. Those patients more frequently evolved additional trisomies and tetrasomies, while translocations were more common in those presenting with a non-hyperdiploid karyotype (Table 1). The development of additional abnormalities during the three years following diagnosis (compared to no new abnormalities) was associated with increased subsequent mortality in those who survived at least three years (HR 3.22, 95% CI 1.82 - 5.68, p < 0.001). Including the time between first and last cytogenetic evaluation as a covariate did not significantly change the parameter estimates or improve model fit (p = 0.727). Conclusions: Demographics, risk profile, and overall survival of this cohort reflect the fact that patients had to survive long enough to undergo repeated cytogenetic evaluation. Hyperdiploid and non-hyperdiploid genotypes were associated with distinct behavior regarding cytogenetic evolution during follow up. The identification of cytogenetic evolution was an adverse prognostic factor in those who survived at least three years after diagnosis. These findings emphasize the importance of the dynamics of the underlying clonal disease process for accurate risk assessment and suggest that selected subgroups of patients may benefit from risk stratification during follow up. Table 1. Cytogenetic evolution during follow up in 433 patients with multiple myeloma stratified by karyotype at the time of diagnosis Hyperdiploid (n = 150) Non-hyperdiploid (n = 283) p New abnormality 76 (51%) 108 (38%) 0.012 New monosomy 8 (5%) 24 (8%) 0.243 New trisomy 48 (32%) 55 (19%) 0.004 New tetrasomy 37 (25%) 27 (10%) < 0.001 New deletion 17 (11%) 27 (10%) 0.557 New translocation 1 (1%) 11 (4%) 0.065 Most common new abnormality [type (percent of type in each group)] Monosomy mono(13) (75%) mono(13) (62%) Trisomy tri(11) (22%) tri(3) (22%) Tetrasomy tetra(15) (48%) tetra(15) (30%) Deletion del(17p) (79%) del(17p) (63%) Translocation t(11;14) (100%) t(11;14) (36%) Data are given as count (percent) unless denoted otherwise. Disclosures Binder: American Society of Hematology: Research Funding. Kumar:AbbVie: Research Funding; Onyx: Research Funding; Sanofi: Research Funding; Celgene, Millenium, Sanofi, Skyline, BMS, Onyx, Noxxon,: Other: Consultant, no compensation,; Skyline, Noxxon: Honoraria; Millenium/Takeda: Research Funding; Janssen: Research Funding; Celgene: Research Funding.

Abstract Background: Proteasome inhibitors and immunomodulatory drugs are currently an integral part of the management of multiple myeloma. Pre-clinical and clinical studies suggest that bortezomib, the first approved proteasome inhibitor for the management of multiple myeloma, may be associated with an increased risk of cardiac events such as heart failure (HF), acute myocardial infarction (MI), and arrhythmia. The goal of this study was to evaluate the rate of adverse cardiac events in patients treated with bortezomib compared to lenalidomide. Methods: This retrospective, propensity-matched study using a large, national administrative claims database included multiple myeloma patients who initiated bortezomib and a comparison group (matched on age, sex, year of drug initiation, baseline HF, hyperlipidemia, hypertension, history of MI, arrhythmia and Charlson comorbidity index) who initiated lenalidomide between January 2008 and December 2014. Those who received both bortezomib and lenalidomide were excluded from the analysis. The primary endpoints were time to hospitalization for HF, acute MI and arrhythmia. Rates of hospitalizations were computed per 100 patient years (PY). Cox proportional hazard models were used to obtain hazard ratios (HR) and 95% confidence intervals (CI). Results: A total of 1,128 patients (564 bortezomib users and 564 lenalidomide users, mean age of 69, 47% female, and average follow-up time of 438 days) were included in the analysis. The rate of hospitalization for HF, acute MI, and arrhythmia was 5.76/100 PY, 2.57/100 PY, and 3.10/100 PY respectively among bortezomib users and 2.45/100 PY, 1.47/100 PY, and 2.85/100 PY respectively among lenalidomide users. In the propensity score matched models, the risk of hospitalization for acute MI and arrhythmia with bortezomib was similar to lenalidomide (HR 1.60 [95% CI 0.73-3.49] and HR 1.01 [95% CI 0.54-1.90] respectively). The risk of hospitalization for HF with bortezomib use was significantly higher compared to lenalidomide (HR 2.10 [95% CI 1.18-3.74], Figure 1). Further stratification of the patient population by baseline HF status showed that those with baseline HF (n=212) were significantly more likely to be hospitalized for HF following treatment with bortezomib compared to lenalidomide. The rate of hospitalization for HF in the population with baseline HF was 24.12/100 PY among bortezomib users and 8.77/100 PY among lenalidomide users (HR 2.24 [95% CI 1.04-4.83]). Those without baseline HF (n=916) had similar rates of hospitalization for HF when treated with bortezomib and lenalidomide (2.83/100 PY and 1.29/100 PY respectively, HR 2.05 [95% CI 0.86-4.91]). Conclusion: The current study shows that bortezomib use in patients treated for multiple myeloma is associated with an increased risk of hospitalization for heart failure, but not acute MI or arrhythmia. Those with HF prior to initiating therapy with bortezomib had a significantly increased risk of hospitalization for HF when compared to those treated with lenalidomide. There was no significant difference in the rate of hospitalization for HF in those without a baseline diagnosis of HF. Collectively, these data have important implications for the management of patients with multiple myeloma, especially those with a history of HF at the time of therapy initiation. Figure 1. Kaplan Meier plot for HF hospitalizations. Figure 1. Kaplan Meier plot for HF hospitalizations. Disclosures No relevant conflicts of interest to declare.

Abstract Abstract 1958 Vaccines may offer additional benefit as consolidation therapy after plateau phase or autologous stem cell transplant (ASCT) for multiple myeloma (MM). We have reported previously the results of another phase II trial showing that using APC8020 (Mylovenge™) after ASCT improved the overall survival (OS 5.3 yrs, 95% CI 4.0 yrs – NA) compared to ASCT alone (3.4 yrs, 95% CI 2.7 – 4.6 yrs; p = 0.02; Lacy, AJH (84): 799). We now report the results from a randomized, phase II trial using the same vaccine plus adjuvant cytokines in MM patients in plateau phase after either chemotherapy or ASCT. Twenty patients were enrolled between 2001 and 2003 and were randomized to receive APC8020 and adjuvant cytokine of either interferon-g (IFNg, arm A, n = 10) or interleukin-2 (IL2, arm B, n = 10). Each cycle of treatment included five days of daily subcutaneous injections of either IFNg (106 IU, arm A) or IL2 (200 mg, arm B) followed by APC8020 injection. Each patient received a cycle of treatment every 2 weeks for 4 cycles. One patient in each arm was in plateau phase post-chemotherapy. Time from diagnosis to treatment was 11.9 mos for the patient in arm A and 16.2 mos for arm B. Time to progression (TTP) was 3.7 and 68 months respectively the patient in arm A and B. Both patients were alive at five years. For the 9 post-ASCT patients in each arm, no statistically significant differences were seen in the baseline characteristics between the 2 arms. The median time from diagnosis to treatment was 15.4 months. No grade 4 or 5 adverse events (AEs) were reported. Two patients in each arm had grade 3 AE, including lymphopenia, thrombocytopenia, hemorrhage, infection, and fatigue. One patient in arm B had grade 3 autoimmune disorder that was deemed possibly related to study treatment. The most common AEs were grade 1 fatigue (n = 7) and anemia (n = 5) in arm A and grade 1 anemia (n = 7) and injection site reaction (n = 5) in arm B. The median TTP was 9.3 months (95% CI: 3.9 – 19.3 months) for arm A and 6.6 months for arm B (95% CI: 6.3 – 29.6 months) with no statistically significant difference between the two arms (p = 0.89). The median OS had not been reached for either arm; the 5-year OS rate was 67% and 56% for arms A and B respectively (p = 1.0). Interestingly, similar to our previous study where TTP was not different while OS was improved with vaccine, when we compared the clinical outcome for all patients in this vaccine trial to that of 78 matched control patients who only received ASCT during the same time frame, we did not see significant improvement in TTP (Figure 1). However, the 5-year overall survival for all patients in this trial is significantly improved at 71% (95%CI: 51–96%) compared to ASCT control patients (41%, 95% CI: 31 – 54%; p = 0.03; Figure 1). This trial suggests improved OS with vaccine plus cytokine. It is possible that modulation of patients’ immunity may help them live longer with multiple myeloma. Further investigation is needed to compare the approach in this trial with dendritic cell vaccine alone to better understand optimal strategy for vaccine therapy in MM. Figure 1. Kaplan-Meier curves for time to progression and overall survival Figure 1. Kaplan-Meier curves for time to progression and overall survival Disclosures: Dispenzieri: Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding. Lacy:Celgene: Research Funding.

Abstract Abstract 3557 Introduction: Autologous stem cell transplantation for patients with amyloidosis results in high reported hematologic and organ response rates compared with conventional chemotherapy. Patients: Four-hundred and thirty-four patients have undergone transplantation between March 8, 1996, and April 13, 2010 Table 1. Clinical parameters seen in patients with amyloid are given in Table 2. The overall day-100 mortality seen in this group of patients is 44 of 434 patients (10%). Results: The most important determinant of outcome is stage defined by BNP and troponin levels. Figure 1 demonstrates the survival for patients for all 3 cardiac stages. Troponin <.035; NT-proBNP <332. Stage 1 both low, Stage 3 both elevated. The survival of all patients based on whether they achieved a complete response, a partial response (>50%), or no response was analyzed. Median survival has not been reached for the complete response group, is 107 months for the partial response group, and is 32 months for the no response group (p<0.0001). Figure 2, divides the patients at the median dFLC level of 13.5 mg/dL demonstrating that for patients with a higher level of free light chain, the median survival is 87.6 months and has not been reached for those with a lower level of free light chain. A proportional hazards model for variables that impact on survival was done in all patients, and the only relevant predictor of outcome was stage (p<0.0001). When the same analysis was performed using a landmark of 6 months, the only predictor of outcome was stage (p=0.0005). When best response was incorporated into the landmark model, it was the strongest predictor of survival. The amyloid stage predicted survival (p= 0.0005), and the best response to therapy (p <0.0001). When the same analysis was performed in the entire group of 434, stage and best response each remained significant (p<0.0001). Discussion: There is a high response rate associated with high-dose therapy that was not observed in the melphalan and prednisone era. For eligible patients who can be transplanted safely, high-dose melphalan is an effective therapy for many patients with amyloidosis. Best response and stage at diagnosis are the best predictors of overall survival. Disclosures: Lacy: Celgene: Research Funding. Dispenzieri:Celgene: Honoraria, Research Funding; Binding Site: Honoraria. Kumar:Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding.