Citations

Abstract Background: Lenalidomide with dexamethasone (Rd) is a standard of care used for pts with relapsed multiple myeloma (RMM). The randomized, open-label, multicenter, phase 3 study ASPIRE (NCT01080391) is comparing carfilzomib, lenalidomide, and dexamethasone (KRd) to Rd in pts with RMM. The primary end point is progression-free survival (PFS; assessed by an independent review committee). Secondary end points include overall survival (OS), overall response rate (ORR), duration of response (DOR), health-related quality of life (EORTC QLQ-C30 Global Health Status/QoL), and safety. Methods: Adults with RMM who received 1–3 prior regimens were eligible. Pts were randomized (1:1) to receive KRd or Rd and were stratified by β2-microglobulin levels (<2.5 vs ≥2.5 mg/L), prior bortezomib (no vs yes), and prior R (no vs yes). All pts received lenalidomide (25 mg) on days 1–21 and dexamethasone (40 mg) on days 1, 8, 15, and 22 of a 28-day cycle. In addition, KRd pts received K as a 10-min infusion on days 1, 2, 8, 9, 15, and 16 during cycles 1–12 (20 mg/m2 [days 1 and 2 of cycle 1]; 27 mg/m2 thereafter); K was omitted on days 8 and 9 during cycles 13–18 and was not administered beyond 18 cycles. Cycles were repeated until disease progression, unacceptable toxicity, or withdrawal of consent. The study had 90% power to detect a 25% reduction in risk for PFS events for KRd vs Rd (hazard ratio [HR]=0.75) at a 1-sided significance level of 0.025. A stratified log-rank test was used for the PFS comparison. Results: Data are presented for KRd followed by Rd throughout the abstract. Between July 2010 and March 2012, 792 pts from 20 countries were randomized. Baseline characteristics were balanced between the 2 groups. Median age was 64.0 years (range: 31.0‒91.0). Pts received a median of 2 prior regimens in each group. In both the KRd and Rd groups, 66% of pts received prior bortezomib; 20% of pts in each arm received prior R. Median treatment exposure was 22 cycles (KRd) and 14 cycles (Rd). At the time of the prespecified interim analysis, the study met the primary end point for PFS (HR=0.69; 95% confidence interval [CI]: 0.57–0.83; P<.0001), with a longer duration of median PFS in the KRd group (26.3 months [mo]; 95% CI: 23.3–30.5) compared with the Rd group (17.6 mo; 95% CI: 15.0–20.6). Median OS was not reached in either group; however, there was a trend toward longer OS with KRd compared with Rd (HR=0.79; 95% CI: 0.63–0.99; P=.018), which did not meet the prespecified statistical boundary at the interim analysis of survival (P=.005). The Kaplan-Meier OS event-free rates at 24 mo were 73.3% (95% CI: 68.6‒77.5) and 65.0% (95% CI: 59.9‒69.5). The ORR was 87.4% (95% CI: 83.7–90.5) with KRd and 66.9% (95% CI: 62.0–71.5) with Rd. Median DOR was 28.6 mo (95% CI: 24.9–31.3) and 21.2 mo (95% CI: 16.7–25.8). In the KRd and Rd groups, 31.8% vs 9.4% achieved a stringent complete response (sCR) or complete response (CR) (sCR: 14.1% vs 4.3%; CR: 17.7% vs 5.1%), and 70.4% and 40.7% achieved ≥very good partial response. KRd consistently improved Global Health Status/QoL compared with Rd over 18 cycles of treatment (P=.0001). Treatment discontinuation due to an adverse event (AE) occurred in 15.2% (KRd) and 17.4% (Rd) of pts. In each group, 7.7% and 8.5% of pts died while still on study treatment or within 30 days of receiving the last dose of study treatment. The most common hematologic treatment-emergent AEs (TEAEs) (≥grade 3) included neutropenia (29.6% vs 26.5%), anemia (17.9% vs 17.2%), and thrombocytopenia (16.6% vs 12.3%). The most common nonhematologic TEAEs (all grade) included diarrhea (42.3% vs 33.7%), fatigue (32.9% vs 30.6%), and cough (28.8% vs 17.2%). The most common nonhematologic TEAEs (≥grade 3) included pneumonia (12.5% vs 10.5%), hypokalemia (9.4% vs 4.9%), and hypophosphatemia (8.4% vs 4.6%). Other TEAEs of interest (grouped terms; all grade) included dyspnea (22.4% vs 18.0%), hypertension (preferred term; all grade: 14.3% vs 6.9%; grade 3: 4.3% vs 1.8%), acute renal failure (8.4% vs 7.2%), cardiac failure (6.4% vs 4.1%), and ischemic heart disease (5.9% vs 4.6%). Rates of peripheral neuropathy (PN) (grouped terms; all grade) were 17.1% and 17.0%; ≥grade 3 PN was infrequent (2.6% and 3.1%). Conclusion: The addition of carfilzomib to lenalidomide and dexamethasone in pts with RMM resulted in a statistically significant and clinically meaningful improvement in PFS. KRd had an acceptable safety and tolerability profile and represents a potential new standard of care. Disclosures Stewart: Novartis: Consultancy; Array BioPharma: Consultancy; BMS: Consultancy; Millenium: Research Funding; Celgene: Consultancy. Off Label Use: Carfilzomib is approved in the United States for the treatment of patients with multiple myeloma who have received at least two prior therapies including bortezomib and an immunomodulatory agent and have demonstrated disease progression on or within 60 days of completion of the last therapy. ASPIRE is a randomized, multi-center, phase 3 study investigating the use of carfilzomib in combination with lenalidomide and dexamethasone for the treatment of patients with relapsed multiple myeloma who have received 1–3 prior regimens.. Dimopoulos:Celgene: Consultancy, Honoraria; Onyx: Consultancy, Honoraria. Masszi:Janssen Cilag: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Spicka:Janssen-Cilag: Consultancy, Honoraria, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau. Oriol:Celgene: Consultancy, Speakers Bureau; Janssen: Consultancy, Speakers Bureau. Hájek:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees. Rosiñol:Celgene: Honoraria; Janssen: Honoraria. Siegel:Onyx: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Millennium: Honoraria, Speakers Bureau. Niesvizky:Onyx Pharmaceuticals: Consultancy, Research Funding, Speakers Bureau; Millennium: Consultancy, Research Funding, Speakers Bureau; Celgene: Consultancy, Research Funding, Speakers Bureau. Jakubowiak:Onyx Pharmaceticals: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. San Miguel:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; MSD: Membership on an entity's Board of Directors or advisory committees; Millinnium: Membership on an entity's Board of Directors or advisory committees. Ludwig:Celgene: Research Funding, Speakers Bureau; Takeda Celgene: Research Funding, Speakers Bureau; Bristol-Myers: Research Funding, Speakers Bureau. Zojwalla:Onyx Pharmaceticals, an Amgen subsidiary: Employment, Equity Ownership. Tonda:Onyx Pharmaceticals, an Amgen subsidiary: Employment, Equity Ownership. Xing:Onyx Pharmaceticals, an Amgen subsidiary: Employment, Equity Ownership. Moreau:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millennium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Onyx: Honoraria, Membership on an entity's Board of Directors or advisory committees. Palumbo:Onyx Pharmaceuticals: Consultancy, Honoraria; Millennium Pharmaceuticals: Consultancy, Honoraria; Janseen-Cilag: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Genmab A/S: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Amgen, Inc,: Consultancy, Honoraria; Array BioPharma: Honoraria.

Abstract Background: Triplet regimens combining a proteasome inhibitor, an immunomodulatory drug, and a steroid have been shown to be active and well tolerated in previously untreated MM pts. Extended treatment represents an alternative paradigm to induction followed by ASCT in this setting; however, agents for continuous therapy need to be convenient and well tolerated. The investigational agent ixazomib is the first oral proteasome inhibitor to be studied clinically. Phase 1 studies have indicated single-agent activity in relapsed/refractory MM and shown ixazomib to be well tolerated with a manageable safety profile, including limited peripheral neuropathy (PN) (Richardson PG et al, Blood 2014; Kumar SK, et al, Blood 2014). Weekly ixazomib plus lenalidomide-dexamethasone has been investigated in a phase 1/2 study in previously untreated MM pts (NCT01217957); treatment comprised triplet induction therapy followed by single-agent ixazomib maintenance therapy. Results of induction therapy have been previously reported (Kumar SK, et al, ASH 2012). Here we report phase 2 efficacy and safety data in pts receiving ixazomib maintenance. Methods: In phase 2, pts aged ≥18 yrs with measurable disease and no grade ≥2 PN received oral ixazomib 4.0 mg on d 1, 8, 15, lenalidomide 25 mg on d 1–21, and dexamethasone 40 mg on d 1, 8, 15, 22, for up to twelve 28-d induction cycles, followed by maintenance ixazomib on d 1, 8, 15 every 28 d until progression at the dose last tolerated during induction. Transplant-eligible pts could discontinue from study for ASCT after 6 cycles. The primary objective was CR+VGPR rate. Responses were assessed by IMWG criteria. Adverse events (AEs) were graded by NCI-CTCAE v4.02. Results: Fifty pts were enrolled in phase 2; 29 discontinued during induction (cycles 1–12), primarily to undergo ASCT (n=14) or due to AEs (n=6) or pt withdrawal (n=4). Twenty-one pts received ixazomib maintenance therapy (cycle ≥13); 13 (62%) were male, and median age was 68 (range 34–77) years. At data cut-off (June 11, 2014), pts had received a median of 27 treatment cycles (range 15–32), including both induction and maintenance, with a median treatment duration of 26.6 mos (range 13.4–29.6). Mean ixazomib relative dose intensity was 95% and 89% in the induction and maintenance phases, respectively. The mean ixazomib dose administered during maintenance was 3.6 mg weekly. At data cut-off, 11 (52%) pts remained on ixazomib maintenance. Among 49 evaluable phase 2 pts, 44 (90%) achieved ≥PR, including 29 (59%) ≥VGPR. All 21 pts who received ixazomib maintenance had responded to induction therapy. Overall best confirmed/unconfirmed responses in the 21 pts included ≥CR in 11 (52%, of which 4 [19%] were stringent CRs [sCR]), ≥near-CR in 13 (62%), and ≥VGPR in 15 (71%), plus 6 (29%) PR. Responses were rapid and improved during treatment. Median time to first response (≥PR) was 0.99 mos (range 0.92–5.78) and to best response was 7.46 mos (range 1.02–24.74); 33% of pts improved their response during maintenance, including 2 VGPR to near-CR, 3 VGPR to CR, 1 VGPR to sCR, and 1 CR to sCR. At data cut-off, median duration of response was 26.5 mos (range 5.6–26.6+). Among 15 pts achieving ≥VGPR, 5 (33%) had progressed; median duration of ≥VGPR was 23.0 mos (range 3.7–26.1+). All pts were alive after follow-up of 24.6–30.3 mos, including a median follow-up from start of maintenance of 16.9 mos (range 12.9–18.9). Ixazomib maintenance was well tolerated; 15 (71%) pts had drug-related AEs, with only 2 (10%) pts with grade 3 drug-related AEs (hypokalemia, thrombocytopenia) and no grade 4 AEs. The most common (>1 pt) grade 1–2 drug-related AEs were diarrhea (n=8, 38%), nausea, pain in extremity (each n=3, 14%), anemia, and headache (each n=2, 10%). No PN was reported. Serious AEs were reported in 3 (14%) pts during maintenance, including grade 3 acute myocardial infarction, grade 3 pneumonia, and grade 3 orthostatic hypotension; all were considered not related to treatment. Only 1 pt required an ixazomib dose reduction due to an AE (neuralgia). Conclusions: These data indicate that single-agent ixazomib maintenance for up to 1.5 yrs was feasible and generally well tolerated, improved responses following ixazomib-lenalidomide-dexamethasone induction, and contributed to durable responses (median >2 yrs) in previously untreated MM pts not undergoing ASCT. The results support the ongoing phase 3 trial of ixazomib in the maintenance setting (NCT02181413). Disclosures Kumar: Celgene: Consultancy, Research Funding; Millennium: The Takeda Oncology Co.: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding; Sanofi-Aventis: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Skyline Diagnostics: Membership on an entity's Board of Directors or advisory committees. Off Label Use: Investigational proteasome inhibitor ixazomib in combination with lenalidomide and dexamethasone and as maintenance therapy for patients with previously untreated multiple myeloma.. Niesvizky:Onyx Pharmaceuticals: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Millennium: The Takeda Oncology Company: Consultancy, Honoraria, Research Funding, Speakers Bureau. Lonial:Millennium: The Takeda Oncology Company: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding. Laubach:Novartis: Research Funding; Onyx Pharmaceuticals: Research Funding. Hamadani:Millennium: The Takeda Oncology Company: Research Funding. Stewart:Takeda Pharmaceuticals International Co.: Research Funding; Sanofi: Consultancy; Array BioPharma: Consultancy; Bristol Myers Squibb: Consultancy; Celgene: Consultancy; Novartis: Consultancy. Hari:Celgene: Consultancy, Honoraria, Research Funding; Onyx: Consultancy, Honoraria, Research Funding; Millennium: The Takeda Oncology Co.: Consultancy, Honoraria, Research Funding; Spectrum: Consultancy, Honoraria, Research Funding; Sanofi: Research Funding. Vescio:Celgene: Speakers Bureau; Millennium: The Takeda Oncology Co.: Speakers Bureau; Onyx Pharmaceuticals: Speakers Bureau. Kaufman:Millennium: The Takeda Oncology Co.: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Onyx: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Spectrum: Consultancy, Honoraria; Merck: Research Funding. Berg:Takeda Pharmaceuticals International Co.: Employment. Liao:Takeda Pharmaceuticals International Co.: Employment. Hui:Takeda Pharmaceuticals International Co.: Employment. Richardson:Millennium: The Takeda Oncology Co.: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 1859 Genome wide RNA interference studies identified Aurora Kinase (AURK) A and B as lethal targets in Multiple Myeloma (MM) while suppression of these genes also sensitized MM to bortezomib (BTZ). MLN8237 is an oral inhibitor of AURKA. We therefore conducted a Phase I clinical trial of MLN8237 in combination with BTZ. The study enrolled a total of 19 patients at 5 institutions. 9 patients are still receiving active treatment as of the date of this report. Study Design: The phase I portion of this study uses a standard 3+3 design to determine the maximum tolerated dose (MTD) of MLN8237 and BTZ in patients with relapsed/refractory MM. Eligibility required a minimum of 1 and maximum of 4 lines of prior therapy. Patients who have received prior BTZ therapy were allowed on trial as long as they did not progress during prior BTZ or ≤ 60 days of therapy discontinuation. The following laboratory values were required £7 days prior to registration. ANC3 1000/mL, Hgb ≥9 g/dl, PLT3 100,000/mL, Total bilirubin £1.5 × upper limit of normal (ULN), Creatinine £ 2.5 × ULN, a baseline LVEF ≥45%. Patients were required to be able to take oral medication and to maintain a fast as required for 2 hours before and 1 hour after MLN8237 administration. Treatment Overview: The first 3 patients received MLN8237 at 25 mg po days 1–14 and BTZ at 1.3 mg/m2/dose iv. days 1, 4, 8, 11 on a 28 day schedule. Based on data from other concurrent trials an amendment changed dosing of MLN8237 to 20, 30, 40 or 50 mg po twice daily on days 1–7 and BTZ was given at 1.5mg/m2 iv weekly on a 28 day schedule. Results: Median age of patients was 64, 63% were male, 31% had high risk genetics, 84% had prior stem cell transplant, 53% of patients were relapsed and 47% were relapsed and refractory to therapy. No DLTs were observed even at the highest dose level tested. However, one patient at the highest dose level required a platelet transfusion in order to initiate treatment on time in Cycle 2. Thus, a further 3 patients accrued at the highest dose level before declaring the MTD and proceeding to phase II. The highest dose level (Dose Level 3: MLN8237 50 mg po twice daily on days 1–7; BTZ 1.5 mg/m2 iv. given on days 1, 8, 15, 22) was the final dose level tested (the MTD of single agent MLN8237 is 50mg as defined in other Phase I trials). The ORR was 26% (1 CR, 4 PR); when minor responses are included the ORR was 52%. Median follow up was 4.3 months (range 0.9–23.4) and PFS was 5.5 months. At last follow up 12 patients showed no progression and 7 had progressed. Toxicity: 63% of patients experienced a grade 3AE and 5% a grade 4 AE. Grade 3 or 4 toxicity seen in more than one patient was all hematologic with thrombocytopenia and neutropenia being common. Other toxicity of any grade regardless of attribution occurring in more than 20% of patients included neuropathy 63%, fatigue 63%, diarrhea 53%, nausea 47%,vomiting 26%, infection 32%, alopecia 21%, Conclusions: The MTD of the combination is MLN8237 50 mg po twice daily on days 1–7 and BTZ at 1.5mg/m2 iv weekly. Phase II testing is underway and updated results will be presented. Disclosures: Stewart: Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy. Vij:Millennium: Speakers Bureau. Hofmeister:Celgene: Advisory board Other, Honoraria.

Abstract Abstract 1846 Background The low frequency of TP53 (p53) alterations (<10%) in MM makes this tumor an ideal candidate for p53-activation therapies. Unfortunately, DNA alkylating agents (cyclophosphamide and melphalan), when used alone, cannot fully exploit p53 mediated apoptosis. It is currently unknown the extent to which DNA alkylating agents and p53 activating small molecules are activating functional p53 signaling to induce apoptosis in primary MM cells, because, p53 mainly induces cell cycle arrest/DNA repair or apoptosis in the DNA damage response. Emerging studies demonstrate that PARP activation and p53 poly(ADP-ribosyl)ation can negatively influence apoptosis induction but the exact molecular mechanisms are unknown. Methods For apoptosis and gene expression analysis 05 × 106 cells were incubated with 2.5 μM of melphalan, 10 μM of olaparib and 2.5 μM of nutlin-3a alone and/or combinations of melphalan with olparib and/or nutlin3a with olaprib for 24 to 72 hours before they were examined for cell death by the annexin-PI and FACS analysis. Gene and protein expression were measured by RT-PCR, western blot, and immunohistochemistry. For combination studies, cells were incubated with 0.194–50 μM of melphalan and 0.625–40 μM of either olaparib or ABT-888 for 72 hours. p53 knock-down performed by lentiviral mediated shRNA. Vk*MYC mice with significant gammopathy (>20g/l on SPEP) used for in-vivo drug combination studies. Results Preliminary results support our principle hypothesis that, a PARP inhibitor (olaparib) enhanced Melphalan sensitivity in wild type p53 MM cell lines H929 and MM1S but not in p53 mutated or homozygously deleted cell lines U266 and KMS11, respectively. Moreover, we demonstrate that p53 knock-down decreased the synergistic effect of combining a PARP inhibitor with melphalan and Nutlin-3a. Again, combining a PARP inhibitor with the DNA alkylating agent melphalan induced clear PARP cleavage, a signature of apoptosis in wild type p53 MM cell lines H929 and MM1S. No significant PARP cleavage was observed after melphalan or olaparib treatment alone in H929 and MMIS. As expected, the p53 mutant cell line U266 did not show any PARP cleavage and p21 up-regulation after both drug treatments. Here we propose that the hyper-activated p53 from PARP inhibition along with DNA alkylating agents (melphalan) and/or p53 activating agents (nutlin-3a) result in better responses. Finally, in a murine xenograft model of human MM, olaparib potentiated melphalan activity in vivo, with significant reduction in M spike level. Conclusion Our studies indicate that DNA alkylating agents activate wild type p53, but leads to DNA repair and cell survival and this can be abolished by PARP inhibition in wild type p53 expressing MM cases. Moreover, our study also found that olaparib, and ABT-888 - PARP1 inhibitors currently in clinical trials - display different dose responses in MM cell lines and in the abilities of individual PARP inhibitors to sensitize MM cell lines to melphalan varied to a great extent in a cell context- and cell line specific manner. Disclosures: No relevant conflicts of interest to declare.

Abstract Introduction: Hematologic response (HR) particularly complete response (CR) is critical in patients (pts) with AL since it improves overall survival (OS) because of organ response (OrgR). Bor based therapies especially in combination with cyclophosphamide and dexamethasone (CyBorD) have shown to be an active regimen in AL. So far, there have been no comparative studies studying the effect of treatment with B-based regimens prior to SCT (Bor-SCT) versus SCT upfront or SCT preceded by non-Bor therapies (non-Bor-SCT). We present a retrospective analysis of data with an aim to compare the OS, OrgR and HR in the two cohorts. Methods: Charts were reviewed for the pts who underwent SCT for AL since 2004 until 2015 at Mayo Clinic in Arizona. HR and OrgR were determined using the consensus criteria from International Society of Amyloidosis.1 HR were noted at 3, 6 and 12 months from SCT. Results: Patients and disease characteristics: 63 pts were identified who underwent SCT for AL, of which 34 were in Bor-SCT and 29 were in the non-Bor-SCT cohort. Median age at diagnosis was 59.5 (range, 39 - 72) and 63 (range, 38 - 76) years and at SCT was 60 (range, 40 - 72) and 63 (range, 39 - 76) years for Bor-SCT and non-Bor-SCT, respectively. There were 13 (38%) females in Bor-SCT and 9 (31%) in non-Bor-SCT. Mean bone marrow involvement of plasma cells at diagnosis was 18% (SD±16.5) in Bor-SCT and 6.8% (SD±7.8) in non-Bor-SCT (p = 0.004). All pts had an ECOG performance score of better than 3 at the time of SCT. Fifteen (44%) pts had single organ involvement at diagnosis and 9 (26.5%) had 2-organ involvement in Bor-SCT. In non-Bor-SCT, 21 (72%) pts had single and 6 (21%) had 2-organ involvement (p = 0.04). More than 2 organs were involved in 10 (29%) pts in Bor-SCT and 2 (7%) in non-Bor-SCT. Heart was involved in 18 (53%) pts in Bor-SCT and 8 (28%) in non-Bor-SCT (p = 0.04) while kidney involvement was seen in 27 (79%) in Bor-SCT and 23 (79%) in non-Bor-SCT (p = 0.99). Median creatinine was not significantly different in the 2 groups at diagnosis or at the time of SCT. In Bor-SCT, no pts were on hemodialysis at the time of diagnosis or SCT. In non-Bor-SCT, 1 pt at diagnosis and 3 pts at SCT progressed to need hemodialysis. Lambda light chain was involved in 27 (82%) and 22 (76%) (p = 0.56) with a mean level of involved light chains being 59(SD±88.7) g/dL and 43.3 (SD±64.6) g/dL (p=0.4539) in Bor-SCT and non-Bor-SCT, respectively. Treatment: Thirty-one (91%) out of 34 pts in Bor-SCT group got treatment with CyBorD while 2 (6%) got Bor with dexamethasone and 1 (3%) got Bor with pegylated liposomal doxorubicin. In the non-Bor-SCT group, 20 (69%) out of 29 got no treatment, 4 (14%) got melphalan prednisone, 2 (7%) got dexamethasone alone, 1 (3%) got vincristine dexamethasone and 2 (7%) got lenalidomide dexamethasone prior to SCT. Transplant factors: Median time from diagnosis to SCT was 226.5 (range, 65 - 1108) days in Bor-SCT and 150.5 (48 - 1139) days in non-Bor-SCT (p=0.32). Full dose of melphalan (200 mg/m2) was used in 21 (62%) pts in Bor-SCT and 13 (34%) pts in non-Bor-SCT (p <0.001). Mean dose of cells used for SCT was 4.6 (SD±0.9) and 4.8 (SD±2.2) x 106/kg in Bor-SCT and non-Bor-SCT, respectively. Median time to neutrophil and platelet engraftment was 13 (range, 10 - 27) and 16 (range, 8 - 28) days in Bor-SCT while 11 (range, 7 - 16) and 13 (range, 10 - 25) days in non-Bor-SCT. Responses: HR at 3, 6 and 12 months from SCT and OrgR by the time of last follow up is described in table 1. Survival: Median OS was not reached in Bor-SCT as compared to 53.4 months in non-Bor-SCT (p =0.001), Figure 1. Conclusions: Our study suggests a benefit in HR, OrgR as well as OS by reduction of disease burden by Bor-based therapy prior to SCT. This benefit was observed despite a higher percentage of pts with cardiac involvement, more than 2 organ involvement and mean bone marrow plasma cells at diagnosis in Bor-SCT. Currently, it is not standard practice to use Bor-based therapy prior to SCT. A prospective study with larger number of pts would be required to confirm these findings. References: 1. Gertz MA et al. Definition of Organ Involvement and Treatment Response in Immunoglobulin Light Chain Amyloidosis (AL): A Consensus Opinion From the 10th International Symposium on Amyloid and Amyloidosis. Am J Hematol. 2005;79(4):319-328. Disclosures Dueck: Bayer: Honoraria. Mikhael:Abbvie, Celgene, Onyx, Sanofi: Research Funding. Bergsagel:Amgen, BMS, Novartis, Incyte: Consultancy; Novartis: Research Funding. Reeder:Novartis, Millennium, BMS and Celgene: Research Funding. Stewart:celgene: Consultancy. Fonseca:AMGEN: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Sanofi: Consultancy; Bayer: Consultancy; Millennium, a Takeda Company: Consultancy; Millennium, a Takeda Company: Consultancy; AMGEN: Consultancy; BMS: Consultancy; Celgene: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; AMGEN: Consultancy; AMGEN: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Millennium, a Takeda Company: Consultancy; Sanofi: Consultancy; Janssen: Consultancy; Millennium, a Takeda Company: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Celgene: Consultancy; BMS: Consultancy; Bayer: Consultancy; Novartis: Consultancy.

Abstract Abstract 2741 Background: The novel agent lenalidomide (LEN) has shown significant single-agent activity in patients with relapsed lymphoma through anti-proliferative and immunomodulatory mechanisms. In combination LEN may synergistically improve the efficacy of rituximab. However, there is limited data on the efficacy and safety of LEN in multi-drug combination regimens for treatment-naïve patients. We designed a phase II single arm trial to evaluate tumor response, toxicity (AE) and survival with a combination of LEN, rituximab, cyclophosphamide (CTX) and dexamethasone (DEX) (LR-CD) in symptomatic untreated patients with indolent B-cell lymphoma. (NCT00784927). Methods: Eligibility required age ≥18, ECOG PS ≤2, confirmed diagnosis of indolent B-cell lymphoma (FL1–2, SLL, MZL or LPL/WM), measurable nodes ≥2cm or IgM ≥400mg/dL (LPL/WM), ANC ≥1400/mm3, platelets ≥100,000/mm3, creatinine ≤2mg/dL, and signed informed consent. Only patients needing therapy were considered eligible. Treatment consisted of IV rituximab 375mg/m2 D1, oral LEN 20mg D1–21, CTX 250mg/m2 D1, 8, 15, DEX 40mg D1, 8, 15, 22 and ASA 325 mg daily in a 28 day cycle. Treatment continued 2 cycles beyond best response up to a maximum of 12 cycles. Toxicity was assessed by NCI CTCAE v3.0. Results: Thirty-one patients have enrolled at Mayo Clinic with 28 evaluable for toxicity and response (1 deemed ineligible, 1 withdrew before treatment, 1 treatment violation). Four patients continue on study at this time. Patient characteristics: median age 68.5(43–83), 71% male, stage IV 86%, FL 28%, MZL 25%, LPL/WM 39%, and SLL 4%. Median number of cycles given was 6 and 71% completed the study per protocol. The best overall response is 89% with 32% CR and 57% PR. In subgroup analysis, the response rates for LPL/WM was 91% (all PR) and for FL 88% (CR 63%, PR 25%). The most common grade ≥3 AEs were neutropenia (35.7%), leukopenia (17.8%), anemia (14.3%) and thrombosis (14.3%). The LPL/WM subgroup experienced more grade ≥3 anemia (36%) compared to the group as a whole. Patients (57%) required at least one dose reduction of LEN (n =10), CTX (n = 9) or DEX (n = 7). At a median f/u of 14.5 (1.8–36.5) months 86% are progression free (fig. 1) and the OS is 96% (fig. 2). One death unrelated to treatment occurred 7.7 months after completing 12 cycles of treatment. Conclusion: Lenalidomide can be safely combined with other active agents and in the combination LR-CD produces high response rates in symptomatic patients with indolent B-cell lymphoma. The regimen is well tolerated with manageable toxicities which are similar to that seen with single agent LEN. The encouraging results seen in patients with LPL/WM have led to expansion of this cohort for additional study. Disclosures: Reeder: Celgene: Research Funding. Off Label Use: lenalidomide use in non-Hodgkin lymphoma. Stewart:Celgene: Consultancy, Honoraria.

Abstract Multiple myeloma tumors universally target one of the three human cyclin D genes (CCND1, CCND2 or CCND3) for dysregulation (Bergsagel et al., 2005, Blood;106:296). To identify novel pharmaceutical inhibitors of cyclin D2 (CCND2) transactivation we therefore screened the Lopac, Prestwick and Spectrum libraries of drugs and natural compounds (n>4000) using NIH 3T3 cells stably expressing the CCND2 promoter driving a luciferase reporter gene. From this library screen and subsequent validation experiments we identified Kinetin riboside, a nucleoside analogue and plant cytokinin hormone, as a novel inhibitor of CCND1+CCND2 transactivation. By immunoblotting, Kinetin riboside induced rapid suppression of cyclin D1 and D2 proteins (<6 hours) in H929, JJN3, Kms11 and U266 human myeloma cell lines (HMCL) that all over-express either cyclin D1 or D2 due to a range of transforming events relevant to myeloma (including deregulation of FGFR3, MMSET or c-Maf oncogenes, or translocation of CCND1 to the IgH locus). Similar results were obtained in primary CD138+ purified myeloma cells from 5/6 patients. To verify that cyclin D1 and D2 suppression induced by Kinetin riboside is a direct effect and does not occur secondary to cellular arrest in S-phase (when cyclin D protein levels decline) we examined the effects of Kinetin riboside on the cell cycle profile of HMCL. Within 20 hours Kinetin riboside caused the proportion of cells entering S-phase to fall by 50–70% in all HMCL tested, consistent with primary cyclin D suppression and secondary G0/G1 arrest. By MTT assay, Kinetin riboside is cytotoxic to HMCL with an IC50 of <1.7 mg/L (5uM) in 8/12 lines and <5mg/L (15uM) in 11/12 HMCL. By comparison, toxicity studies in Balb/c mice confirm that Kinetin riboside is tolerated in vivo at a dose of 80–100mg/kg i.p. or 25mg/kg i.v. Importantly, Kinetin riboside shows potent synergy with dexamethasone in HMCL that are poorly responsive to one or other agent and Kinetin riboside activity persists during co-culture with myeloma growth factors IL-6, IGF-1 and Baff. Moreover, when tested against unsorted patient bone marrow samples, Kinetin riboside preferentially killed CD138+ myeloma cells at up to 5–8 fold greater rate than normal marrow progenitors. Kinetin riboside induced myeloma cell death is mediated by apoptosis and is associated with caspase 9 cleavage and annexin V binding. Mechanistically, we show that kinetin riboside blocks CCND2 promoter transactivation induced by cAMP or by regulatory phosphoproteins (activated by Forskolin or the PP2A inhibitor, Cantharadin, respectively) and also blocks cis-activation of CCND1 induced by translocation to the IgH enhancer and trans-activation of CCND2 induced by cMaf or FGFR3 over-expression, indicating that kinetin riboside acts at a distal level to block transactivation of CCND1+CCND2 induced by multiple factors. Gene expression profiling reveals that KinR causes rapid induction of the transcriptional repressor, cAMP Response Element Modifier (CREM), which has been reported to bind the cyclin D2 promoter to regulate cyclin D2 expression (Muniz, 2006, Biol Reprod.), providing a putative mechanism for targeted suppression of CCND1+CCND2. Together these studies demonstrate a novel targeted mechanism and substantial pre-clinical activity for kinetin riboside and provide a rationale for clinical evaluation of this drug to improve the outcome of multiple myeloma.

Abstract Introduction Tumor specific somatic mutations can potentially influence patient response to targeted immunotherapies. Since somatic mutations generate neoantigens, novel tumor-specific peptides can be processed, loaded into MHC class I molecules, and presented to T-cells as potentially immunogenic targets. Indeed, both somatic mutation burden and neoantigen burden have been correlated with responsiveness to checkpoint inhibitor blockade in highly mutagenic advanced melanoma and lung cancer. However, correlation of response with mutation and neoantigen burden has not been reported for cancers of lower characteristic mutational burden such as multiple myeloma (MM). Indeed early results of checkpoint inhibitors in MM have been underwhelming. We therefore wished to better understand the mutation and neoantigen landscape of MM patients as it relates to responsiveness to current and future therapies. Materials/Methods Somatic mutation burden, neoantigen load, and response to therapy was obtained using interim data from theCoMMpassstudy (NCT01454297), a study by the Multiple Myeloma Research Foundation that collects longitudinal clinical and molecular data on 1,000 newly diagnosed MM patients from baseline through treatment and disease progression. Next-generation exome sequencing data was used to call somatic mutations andbioinformaticallydetermine patient specific HLA type. Neoantigen binding affinity was predicted for all unique patient specific somatic missense mutation and HLA allele combinations using a well validated neural network and machine learning based algorithm. Binding affinity of the corresponding non-mutated peptide was also predicted to identify mutated neoantigens witha high binding affinity while the wild type counterpart has low predicted binding affinity. Results For 627 patients with available sequencing and clinical data, mutation and neoantigen profiles were created. Within this population, the mean overall canonical somatic mutation load was 405.84 (s=608.55) mutations per patient. These mutations included 38,222 unique missense mutations in 12,994 genes. The mean somatic missense mutation load was 64.51(s=95.29) mutations per patient including immunoglobulin genes (52.70, s=94.85 excluding immunoglobulins). There was a positive linear correlation between mutation burden and neoantigen burden. The mean neoantigen load using thresholds of mutant peptide binding affinity (half maximal inhibitory concentration, IC50) less than 500nM was 69.57 (s=124.76) neoantigens (58.53, s=123.58 excluding immunoglobulins). Limiting binding affinity of wild type peptide sequence to greater than 500nM decreased the mean neoantigen load to 23.84 (s=53.55) neoantigens (20.74, s=53.28 excluding immunoglobulins). Progression free survival (PFS) following induction therapy was used to determine correlates of mutation burden excluding immunoglobulin mutations with response. Kaplan-Meier survival analysis revealed significantly shorter PFS time in patients with greater than average tumor somatic missense mutation load (N=126) relative to those with less than average mutation load (49.1% vs. 73.0% PFS at 2yrs, p=0.0055, Figure 1) Similarly, patients with greater than average neoantigen load (N=164) had significantly shorter PFS relative to those with less than average neoantigen load (48.0% vs. 74.2% PFS at 2yrs, p=0.00259, Figure 2). Moreover, patients with both high mutation and neoantigen load (N=85) had significantly shorter PFS relative to those with less than average mutation and neoantigen load (45.3% vs. 72% PFS at 2yrs, p= 0.0168). Conclusion While mutation and neoantigen load has been correlated with response to targeted immunotherapies in highly mutated solid tumors, we report here a negative correlation between mutation, neoantigen load and MM patient survival. This indicates that a high mutation andneoantigen load negatively impacts survival of myeloma patients under current standard of care. It is hypothesized that this is because current treatments fail to recruit T cell immunity necessary to exploit tumor neoantigens fundamental to immune-mediated killing of cancer cells. This presents an encouraging basis for pursuing targeted and personalized immunotherapies for multiple myeloma, especially for patients with a higher mutational burden. PFS and mutation load. PFS and mutation load. PFS and neoantigen load. PFS and neoantigen load. Disclosures Lonial: BMS: Consultancy; Celgene: Consultancy; Janssen: Consultancy; Onyx: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Onyx: Consultancy; Novartis: Consultancy; BMS: Consultancy; Millenium: Consultancy; Merck: Consultancy.

Abstract Introduction: Proteasome inhibition is the backbone of various Multiple Myeloma (MM) treatment regimens, leading to durable responses and high quality remissions. However, under prolonged therapy patients eventually develop drug resistance and the underlying mechanisms have been poorly understood. Proteasome inhibitor resistant cell lines were generated by continuous exposure to proteasome inhibiting drugs. In these cell line models a number of variants within the PSMB5 gene were observed. This includes single point mutations, leading to conformational changes of the _5 subunit within the 20S proteolytic core of the proteasome, impairing its chymotryptic catalytic function and the binding of inhibitory drugs. However, no PSMB5 mutations could, so far, be identified in human disease, leaving the functional relevance of such mutations to be determined. Methods: We applied the MM Mutation Panel (M3P) and used the Personal Genome Machine (Life Technologies) to sequence CD138+ purified bone marrow plasma cells and peripheral blood germ line control from a MM patient in third relapse that had been previously treated by various proteasome inhibitor containing therapies (VTD-PACE, VCD, PAD-Rev). This patient was subsequently treated with a pomalidomide, bortezomib, adriamycin and dexamethasone combination therapy (Pom-PAD) and achieved a partial remission after 4 cycles of therapy. When being exposed to VCD at earlier relapse a complete remission was induced within 6 cycles of therapy, demonstrating excellent response to proteasome inhibition at this earlier disease stage. Results: We identified clonal missense mutations in this patient at known NRAS hotspot location (p.Gln61Arg) and in MAX (p.Arg35His). Most notably we found and validated four subclonal single point mutations in PSMB5, each of them in subclonal frequencies with variant reads (VR) ranging from 1.9%- 5.9% (average read depth 750X). All PSMB5 mutations occurred in a highly conserved region in exon 2 of the gene (p.Cys122Tyr, p.Met104Ile, p.Ala86Pro, p.Ala79Thr), with three of them being located within the proteasome inhibitor drug binding site. Our 400bp amplicon design allowed us to observe that each mutation identified in PSMB5 is exclusively present on a different sequencing read and no reads are shared between the mutations. This implies that the mutations are present on different subclones of the tumor, which means that, despite low VR frequencies of the single mutation, in sum more than a quarter of the whole tumor might be affected by mutated PSMB5. At a disease stage when the patient was well responsive to proteasome inhibitor treatment (at diagnosis and at first relapse), of note, none of the mutations in PSMB5 is detectable. Conclusion: Here we report the first in human PSMB5 mutation in a MM patient. These mutations evolved in parallel within different subclones of the disease under the selective pressure of bortezomib- containing treatment regimens, representing branching evolution. It is to speculate whether previous investigations negating the existence of PSMB5 mutations in proteasome inhibitor treated patients might not have sequenced deep enough or did set up a sensitivity cut-off too rigid to detect such subclonal mutations. Our finding suggests that the mutations identified may contribute to the development of proteasome inhibitor resistance, emphasizing the need for more detailed genomic characterization of tumors, including minor subclonal mutation detection. Functional analysis of the mutations is ongoing and results will be presented at the meeting. Figure Figure. Disclosures No relevant conflicts of interest to declare.

Abstract Next-generation sequencing (NGS) has revealed new insight into the complexity of clonal and subclonal architecture of multiple myeloma (MM). The introduction of targeted studies allows the detection of mutations with very low allele frequencies at affordable price. However, there is few information about the prognostic impact of this mutational profile in series of homogeneously treated MM patients. In this study, we analyzed the most frequently mutated genes in MM from patients included in a randomized clinical trial applying the highest read depth to date. We performed a correlation study between our results and cytogenetics aberrations and clinical outcomes. We used Ampliseq Library Kit 2.0 to target 77 genes (M3Pv2.0 panel) related to critical pathophysiological pathways, associated to drug resistance or targetable with molecular drugs in MM. We sequenced DNA (15ng) from CD138+ purified plasma cells from 80 MM patients at diagnosis included in GEM2010MAS65 clinical trial. We sequenced at an average read depth of 1500X and using Ion Proton sequencer (Thermo Fisher, USA, PaloAlto, CA). We used Ion Reporter software applying in-house modifications in call variants process. We also sequenced DNA from CD138 negative population in 30% of patients in order to filter out potential artifacts and stablish conditions for excluding germline variants. We first fitted a cox-proportional hazard model to predict survival and a second approach using a penalized regression LASSO. We identified 137 gene mutations in the 80 patients analyzed, 54 mutations were predicted pathogenic by Shif and Poliphen and 65 have been described in COSMIC database. 85% of patients harbored at least 1 mutation. The most frequently mutated genes were KRAS (16%), DIS3 (15%), NRAS (13%), BRAF (6%), and TP53 (5%), accounting for the 54% of the total number of mutations. The most frequently mutated pathways were RAS and NFKB in 34% and 28% of patients respectively. Mutational allele frequency for KRAS, BRAF and TP53 was, in all cases, lower than 50% while DIS3 showed mutations in a broad range (from 2 to 85%). Only one patient presented one mutation in NRAS at 73 % of allele frequency. For patients with more than one mutation, two different scenarios have been found. Some patients showed several genes mutated in a similar allele frequency values. On the contrary, a complex subclonal structure was confirmed in 3 patients, with mutations at very different clonal frequency. CD138 negative fraction was sequenced to confirm that these mutations were exclusive of plasma cells. The first of them had two mutations in DIS3 at 8 and 53% of allele frequency, second in KRAS and DIS3 at 13 and 63% respectively and the third in NRAS and IFNGR2 at 5 and 37% respectively. We found no differences in the survival based on pathway, mutational allele frequency or number of mutations. We also investigated pairwise associations between events and we not found significant correlations (Figure 1). Cox-proportional hazard model only showed a negative impact in survival of patients with TP53 mutations. This ultra-deep targeted sequencing strategy is able to detect mutations in most of patients, at very low allele frequency and using a minimal amount of DNA. Despite of its huge capacity to detect mutations, we have not identified new prognostic factors in MM patients treated with highly efficient therapies. However, this study again confirms the complexity of the genomic landscape of MM and the great heterogeneity between patients. The role of theses mutations at relapse as well as in the subsequent treatment effectiveness remains unknown and should be preferably investigated in larger cohorts of homogeneously treated MM patients. Figure 1 Figure 1. Disclosures Martínez-López: Novartis: Honoraria, Speakers Bureau. Oriol:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Stewart:celgene: Consultancy.