Citations

Abstract Abstract 1280 Poster Board I-302 Philadelphia-chromosome negative myeloproliferative neoplasms (MPNs) including polycythemia vera (PV), essential thrombocytosis (ET), and primary myelofibrosis (PMF) are defined as clonal hematopoietic stem cell disorders. These disorders show an inherent tendency for transformation into leukemia (MPN-blast phase) which is hypothesized to be accompanied by acquisition of additional genomic lesions. We, therefore, obtained a comprehensive profile of genomic alterations associated with leukemic transformation by using single-nucleotide polymorphism (SNP) array in 88 MPN patients, as well as 71 cases with MPN-blast phase, and correlated these findings with their clinical parameters. A relatively high number of genomic alterations was found in MPN after leukemic transformation with 4.6 ± 0.6 abnormalities per sample compared to only 1.4 ± 0.2 changes per patient in chronic phase (p<0.001). Compared to the cytogenetic data, SNP-chip analysis detected about 47% additional chromosomal changes in the MPN samples, and 31% more in the MPN-blast phase cases, whereas SNP-array allelokaryotyping practically captured all cytogenetic abnormalities in our study population. Several additionally altered regions were detected in patients with MPN-blast phase compared to chronic phase, including both deletion and copy-number neutral-loss of heterozygosity (CNN-LOH) on chromosome 12p (9%) and 21q (9%), involving ETV6 and RUNX1. Notably, deletion and CNN-LOH on 17p involving TP53 were diagnosed in 18% of MPN-blast phase samples, which was highly associated with preceding treatment with alkylating agents (p=0.016). Moreover, trisomy 8, as well as amplification of 8q24.21 involving the MYC gene, were detected in 13% of patients with MPN-blast phase who were almost exclusively negative for the JAK2V617F mutation. Genome-wide inspection of further critical regions with promising new candidate genes involved in the evolution to the MPN-leukemic phase included deletion and CNN-LOH on 7q22.1 (SH2B2) in 18%, duplication/amplification on 19p13.2 (PIN1, ICAM1, CDC37) in 13% and 21q22.2 (ERG) in 9% of MPN patients with blast crisis. In contrast, we detected a decreased frequency of JAK2V617F in MPN-blast phase samples (52%) compared to chronic phase (71%). Also, the percentage of patients with homozygous mutant JAK2 as a result of CNN-LOH was lower in the MPN-blast phase (43%) compared to the chronic phase (53%). Taken together, the data suggest that gain-of-function mutation of JAK2 is not a perquisite for leukemic transformation. Remarkably, CNN-LOH on either 7q or 9p was related to decreased survival after leukemic transformation (p=0.02 and p=0.012, respectively). Given the variety of allelic imbalances, our data suggest that MPN-blast phase appears to be a heterogeneous disease prone to have evolved multiple mechanisms to provide a proliferative advantage to the abnormal leukemic clone. Our analysis of MPN genomes in the chronic compared to the leukemic stage provided new prognostic insights, as well as novel causative genes which might be involved in the transformation to MPN-blast phase. Disclosures No relevant conflicts of interest to declare.

Abstract Abstract 2801 Poster Board II-777 To provide a rationale basis for targeted drug development for multiple myeloma patients, we have conducted high-throughput genome-scale RNA interference (RNAi) synthetic lethality studies in human myeloma cell lines (HMCL) to generate a comprehensive map of critical genes and molecular vulnerabilities in human myeloma tumor cells. KMS11 human myeloma cells were screened with a 13,982-oligo library targeting the ‘druggable' genome (6,991 genes) using optimized conditions that resulted in >95% transfection efficiency. Each gene was screened with 2 or more distinct oligos, in duplicate, using a single-siRNA-per-well format, testing >34,000 wells. Replicate high throughput experiments yielded highly reproducible results (R2=0.82). Viability was measured at 96h by ATP-dependent luminescence. Universally lethal siRNA and non-targeted siRNA were employed as controls. The specificity (FDR) of lethal RNAi was evaluated by custom-developed statistical methods based on RNAi result concordancy. From screening, 5.8% of druggable genome siRNA caused statistically relevant reductions in HMCL viability (greater than three standard deviations from control samples treated with non-silencing siRNA, compared with an anticipated rate due to chance of only 0.135%). Of these, two hundred and nineteen genes, targeted by the most lethal siRNA, were forwarded to validation studies. Validation high-throughput RNAi studies, using 4 oligos per gene, were conducted in order to verify target gene vulnerability. Ultimately, seventy two genes were validated as highly critical for myeloma cell survival (each with multiple concordant siRNA hits plus high reproducibility of R2 =0.94). Among top-ranked lethal molecular vulnerabilities in KMS11 myeloma cells we recurrently identified the proteasome (8 PSM subunits were independently identified as highly vulnerable); and BCL2 family member MCL1; both known therapeutic targets, validating a functional genomics approach to target discovery. In addition, a number of novel, equally lethal, molecular vulnerabilities were identified in KMS11 including WEE1, kinetochore complex component KNTC2, the aurora kinases, polo-like kinase 1, a previously uncharacterized DNA methyl transferase, ribonucleotide reductase, ribosomal protein L38, leptin receptor overlapping transcript LEPROT and SLC25A23 (a carrier responsible for mitochondrial adenine nucleotide flux). Various ubiquitous cellular proteins involved in RNA or protein processing (e.g. SF3a, SNW1, SNRPA1, EIF3s8, amongst others) were also identified as non redundant and critical for cellular viability. Thirty nine top-ranked molecular vulnerabilities in KMS11 were evaluated for comparative vulnerability in a second myeloma cell line, JJN3, and in A549 and 293 epithelial cells. A majority were vulnerable in JJN3. While 25 genes proved equally lethal on silencing in A549 and 293 epithelial cells, several, notably including MCL1 and three proteasome subunits, appear differentially susceptible in myeloma cells versus epithelial cells. From this genome scale study, MCL1 ranks third as a target capable of inducing cell death in myeloma cells, highlighting the potent vulnerability of myeloma cell viability to alterations in this anti-apoptosis regulator. Moreover, from active comparative studies of molecular vulnerability in myeloma versus epithelial cell lines, MCL1 as an RNAi target demonstrates perhaps the greatest cytotoxic selectivity between myeloma and epithelial cell lines of all targets examined. Gene expression studies indicate that MCL1 is highly expressed in myeloma tumor cells but is absent or only weakly expressed in human primary somatic tissues. Overall, therefore, from an unsupervised genome-scale screening approach, our data support MCL1 as an optimal Achilles heel molecular target in multiple myeloma, potentially offering greater specificity and deeper cytotoxic effect than proteasome inhibition. Disclosures: No relevant conflicts of interest to declare.

Abstract The oncogene c-maf is frequently over-expressed in multiple myeloma cell lines and patient samples and contributes to increased cellular proliferation in part by inducing cyclin D2 expression. Therefore, small molecules that inhibit c-maf and its targets could be useful chemical probes to better understand the role and regulation of this protein. We developed a high throughput chemical screen in NIH 3T3 cells stably over-expressing the promoter of the c-maf target cyclin D2 driving firefly luciferase. From a screen of 2400 off-patent drugs and chemicals, we identified 32 compounds that preferentially reduced cyclin D2 transactivation. Of these, 24 of the 32 hits belonged to the corticosteroid family of drugs. Indeed, the screen identified 24 of the 26 corticosteroids in the library. The most potent inhibitors were glucocorticoids such as dexamethasone. Mineralocorticoids such as fludrocortisone were weak hits, reflecting their weak glucocorticoid activity. The 24 glucocorticoids identified in this screen preferentially reduced cyclin D2 transactivation in the presence of c-maf. For example, the IC50 of dexamethasone was 11 ± 0.7 nM and >50 uM in NIH 3T3 cell with and without c-maf, respectively. Given the effects of glucocorticoids on c-maf in NIH 3T3 cells, we extended our investigation to multiple myeloma cell lines and demonstrated that nanomolar concentrations of the glucocorticoid dexamethasone reduced levels of c-maf protein and its target cyclin D2 within 6 hours of treatment. C-Maf was down regulated in isogenic MM1.S but not MM1.R cells respectively sensitive and resistant to dexamethasone. We also observed reductions in another c-maf target, beta integrin. Compared to cell lines RPMI 8226 and OCIMY5 that harbor the t(14;16) c-maf translocation, the concentration of dexamethasone required to reduce c-maf was approximately 50-fold lower in cell lines such as LP1 and OPM1 that lack the translocation but over-express c-maf. While dexamethasone reduced c-maf protein, no changes in levels of c-maf mRNA were detected. In both multiple myeloma and NIH3T3 cells, dexamethasone increased the ubiquitin-dependent destruction of c-maf. Finally, we linked glucocorticoids to c-maf ubiquitination by demonstrating that dexamethasone upregulated ubiquitin C mRNA at concentrations associated with the ubiquitination of c-maf. Moreover, ectopic expression of ubiquitin cDNA recapitulated the effects of dexamethasone and reduced levels of c-maf, suggesting that increased expression of ubiquitin C by dexamethasone is functionally important for dexamethasone’s effects on c-maf levels. Conclusion: a chemical biology screen identified glucocorticoids as c-maf dependent inhibitors of cyclin D2 transactivation. Glucocorticoids reduce c-maf by promoting its ubiquitination via the upregulation of ubiquitin C mRNA. This work provides new insights into the regulation of c-maf and has identified a novel mechanism by which glucocorticoids exert an anti-myeloma effect.

Abstract In an attempt to identify novel genetic abnormalities in multiple myeloma (MM) we analyzed 68 MM patient samples and 42 human myeloma cell lines (HMCL) with high-resolution (60kb) array-based comparative genomic hybridization (aCGH). We concentrated on bi-allelic genomic deletions with the expectation that these regions might contain novel tumor suppressor genes and identified a common abnormality at 14q32. Fine mapping of the 14q32 microdeletion by PCR demonstrated a 45 kb minimal deletion encompassing two genes; TRAF3, a negative regulator of the non-canonical NF-kB pathway, and AMN. To determine the frequency of copy number abnormalities of this region a cohort of 161 patients were screened with a FISH probe mapping to the minimally deleted region. This identified 7 (4.4%) patients with bi-allelic deletion and 19 (11.8%) patients with a single copy of the target region. Sequencing of all TRAF3 coding exons in 62 patients and 42 HMCL identified inactivating mutations in 9 patient samples and 4 HMCL. Overall, the incidence of TRAF3 inactivation, bi-allelic deletion or mutation, is 7/42 (16.7%) in HMCL and 12/62 (19.4%) in patients, making it one of the most common genetic abnormalities identified in MM. Importantly, dysregulation of NF-kB pathways is a common event in MM, but the mechanism for this dysregulation is largely unknown. Although TRAF3 is a negative regulator of the non-canonical NF-kB pathway it has not previously been implicated in cancer. Therefore, we tested the tumor suppressor function of TRAF3 by reintroducing TRAF3 into HMCL harboring TRAF3 abnormalities using an adenovirus gene transfer system. Expression of TRAF3 in HMCL with TRAF3 abnormalities rapidly reversed cellular processing of NFKB2 from p100 (an inactive isoform) to p52 (active) and additionally led to a 60% reduction in cellular proliferation (range, 10–89%) associated with Go/G1 cell cycle arrest and induction of cell death by apoptosis. At 48 hrs post infection the proportion of cells entering S-phase or G2/M declined by 31% (range, 8.1–56.1) and the proportion undergoing apoptosis increased by 28% (range 11.7–47.4%). In contrast, over-expression of TRAF3 in control HMCL without TRAF3 abnormalities had no effect. Overall, TRAF3 is identified as a novel tumor suppressor that regulates the non-canonical NF-kB pathway and is inactivated in ~ 20% of MM patients. Given the involvement of the NF-kB pathway in multiple human malignancies and the near constitutive expression of TRAF3 we propose that inactivation of TRAF3, a novel tumor suppressor identified for the first time in this study, may occur in other cancers. In this regard, we have recently identified a Burkitt lymphoma cell line that does not express TRAF3 and thus has constitutive processing of p100 to p52. The clinical and therapeutic consequences of this finding and its frequency in other tumor types are currently the focus of further investigation. In conclusion, the abnormalities identified in this study represent the first mutations identified that cause constitutive NF-kB activation in MM.

Abstract The t[4;14] simultaneously deregulates fibroblast growth factor receptor 3 (FGFR3) and MMSET in 15% of patients (pts) with Multiple Myeloma (MM). Although oncogenic, FGFR3 expression is lost in ~25% of t[4;14] pts on gene expression profiling while MMSET is always retained. The t[4;14] is highly associated with poor prognosis, furthermore FGFR3 kinase inhibitors are in Phase I trials, thus detection of t[4;14] pts is increasingly important. The Multiple Myeloma Research Consortium (MMRC) therefore evaluated 4 competing methodologies for the diagnostic detection of t[4;14]. Bone marrow (BM) samples were collected in uniform fashion from 85 pts. FGFR3 immunocytochemistry (ICC) and flow cytometry (FC) were performed at the retrieval site, while split samples were shipped to the MMRC tissue bank and processed under GLP conditions. Processed samples were analyzed by cIg-FISH and quantitative IgH-MMSET RT-PCR (QPCR) on unsorted BM and blood. Of 60 samples with sufficient plasma cells for analysis, 8 were FISH +ve [13.3%]. Low % BM plasma cells prevented successful FISH in 25% of samples reflecting large volume harvests and hemodilution. Analysis was conducted in a blinded fashion. With FISH as the gold standard for detection of t[4;14] the sensitivity and specificity of the other diagnostic tests are: BM QPCR is most sensitive (7 of 8 FISH positive detected) and specific (42/43 negatives correctly identified). QPCR on peripheral blood is ongoing. FC is more sensitive to the detection of FGFR3 protein than ICC. Correlation between FC and ICC was only 0.46. Interestingly, 6 of 7 evaluable pts here and 13/14 (92%) in an expanded analysis of FISH +ve patients also expressed the FGFR3 protein. Given the discrepancy between this finding and previously reported loss of FGFR3 expression in 25% of pts we further explored t[4;14] stability. Clonal selection/heterogeneity was determined by the % plasma cells in each pt. with an unbalanced translocation (loss of one der chromosome). In 42 t[4;14] pts, 13 (31%) had a balanced translocation(>75% of cells with a double fusion), 14 (33%) had an unbalanced translocation (>75% cells with only one signal), and 15 (36%) had a chimeric picture. This heterogeneous pattern is suggestive of an evolution towards an unbalanced translocation. Despite this survival did not differ between pts with balanced or unbalanced translocation. Conclusions: These results indicate that the t[4;14] is highly heterogeneous with respect to balanced versus unbalanced translocations, which likely evolve over time. For detection, cIg-FISH continues to be the gold standard diagnostic methodology but may be limited by low plasma cell numbers in dilute BM or during MM remission. QPCR and FC appear most sensitive and specific for presence of t[4;14] and FGFR3 protein expression respectively. Surprisingly (given prior evidence of loss of FGFR3 expression in 25% of pts) 92% of t[4;14] pts in this series expressed FGFR3 protein. # Analyzed % Positive Sensitivity Specificity FISH 60 13 - - QPCR 65 14 87.5 97.6 Flow 82 15 85.7 91 ICC 85 15 62.5 92

Abstract Background: Treatment of multiple myeloma has evolved considerably in the past few years with availability of several news drugs as well as increasing use of multidrug combinations. These changes have no doubt led to the improved survival seen among patients with MM. We have previously shown that outcomes of patients intolerant or refractory to one of the IMiDs and bortezomib had a poor outcome. Since that time, other drugs of the same class as well as new classes of drugs have been introduced for the treatment of MM. We designed this retrospective study to estimate the outcomes in patients with relapsed myeloma, who have become refractory to the current generation IMiDs and proteasome inhibitors. Patients and Methods: Patients with relapsed multiple myeloma who have received at least 3 prior lines of therapy, is refractory to both an IMiD (lenalidomide or pomalidomide) AND a proteasome inhibitor (bortezomib or carfilzomib), and has been exposed to an alkylating agent were identified from multiple centers. The time patients met the above criteria was defined as T0, and details of all treatment regimens before and after T0 were collected using electronic CRFs. The study was approved by the IRB at the respective centers. Results: 543 patients were enrolled in this study; median age was 62 years (31-87) and 61% were males. Patients were enrolled from centers in North America (n=181), Europe (n=318), and Asia Pacific (n=44). Patients were diagnosed between 2006 and 2014, the median duration between diagnosis of myeloma and study entry (T0) was 3.1 years (0.3 to 9). The median (95% CI) estimated follow up from diagnosis and from T0 were 61 (57, 66) months and 13 (11, 15) months respectively. The median number of lines of therapy prior to T0 was 4 (3-13), 48% had a prior transplant. The median OS from T0 for the entire cohort was 13 (11, 15) months. For these 462 patients, the median number of recorded regimens was 2 (1-9). The overall response and the depth of response to each line of treatment following T0 are as shown in the table. The median (95% CI) PFS and OS from T0 was 5 (4, 6), and 15.2 (13, 17), respectively. The overall survival for the 81 patients with no treatment post T0 was only 2.1 months. In a multivariate analysis, duration from diagnosis to T0, ISS stage III and number of lines of therapy were all associated with inferior PFS, as well as OS, and in addition, serum creatinine>2 mg/dL at T0 also predicted inferior OS. Conclusions: The study provides the expected outcome following development of myeloma that is refractory to a PI and an IMiD. The outcomes of these patients appear to be better than we had seen historically in patients refractory/ intolerant to bortezomib and IMiDs, highlighting the increased treatment options available for these patients. However, there is decreasing response rate to sequential regimens highlighting the development of drug resistance. The data provides a bench mark for comparison of new therapies that are being evaluated in this disease. Table Table. Disclosures Dimopoulos: Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, 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; Genesis: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Kastritis:Takeda: Consultancy, Honoraria; Genesis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Terpos:BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Other: Travel expenses, Research Funding; Celgene: Honoraria; Takeda: Consultancy, Honoraria; Genesis: Consultancy, Honoraria, Other: Travel expenses; Amgen: Consultancy, Honoraria, Other: Travel expenses, Research Funding; Novartis: Honoraria. Hillengass:Sanofi: Research Funding; Novartis: Research Funding; Amgen: Consultancy, Honoraria; BMS: Honoraria; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria. Leleu:TEVA: Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria; LeoPharma: Honoraria; Amgen: Honoraria; Bristol-Myers Squibb: Honoraria; Pierre Fabre: Honoraria; Celgene: Honoraria; Novartis: Honoraria; Takeda: Honoraria. Oriol:Janssen: Honoraria, Other: Expert board committee; Amgen: Honoraria, Other: Expert board committee. Cavo:Celgene: Consultancy, Honoraria; Millennium: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Janssen-Cilag: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Mateos: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; Takeda: 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; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Vij:Shire: Consultancy; Takeda: Consultancy, Research Funding; Jazz: Consultancy; Karyopharma: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Celgene: Consultancy; Bristol-Myers Squibb: Consultancy; Amgen: Consultancy, Research Funding. Lokhorst:Genmab: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. van de Donk:Amgen: Research Funding; Janssen: Research Funding; BMS: Research Funding; Celgene: Research Funding. Mark:Onyx: Research Funding, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Ludwig:Amgen: Research Funding, Speakers Bureau; Takeda: Research Funding, Speakers Bureau; BMS: Speakers Bureau; Janssen: Speakers Bureau. Jagannath:Novartis: Consultancy; Janssen: Consultancy; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Merck: Consultancy. Usmani:Array: Research Funding; Britsol-Myers Squibb: Consultancy, Research Funding; Skyline: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BioPharma: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Onyx: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Consultancy, Research Funding, Speakers Bureau; Millenium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Speakers Bureau. Dytfeld:Janssen Poland: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees. Moreau:Novartis: Honoraria; Amgen: Honoraria; Celgene: Honoraria; Bristol-Myers Squibb: Honoraria; Takeda: Honoraria; Janssen: Honoraria, Speakers Bureau. Lee:Amgen: Membership on an entity's Board of Directors or advisory committees. Shustik:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Millenium: 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. de la Rubia:Celgene: Consultancy; Bristol Myers: Consultancy; Amgen,: Consultancy; Janssen: Consultancy. Durie:Takeda: Consultancy; Amgen: Consultancy; Janssen: Consultancy.

Abstract Abstract 1807 We have recently demonstrated that cereblon (CRBN) mediates the direct anti-myeloma activity of immunomodulatory drugs (IMiDs). However, the genes/pathways downstream of CRBN associated with anti-myeloma activity remain unclear. We, and others, identified interferon regulatory factor 4 (IRF4) as one of the downstream targets of CRBN-associated signaling. Both lenalidomide treatment and CRBN knockdown downregulate IRF4. IRF4 levels return to baseline in IMiD resistant cells surviving CRBN silencing. To determine whether IMiD-induced IRF4 downregulation is critical to anti-MM activity, we overexpressed IRF4 in two IMiD-sensitive human MM cell lines (HMCLs), KMS11 and MM1.S, followed by lenalidomide treatment. Lenalidomide-induced cytotoxicity was greatly impaired in both HMCLs overexpressing IRF4 compared with the control virus infected cells. Further analysis indicated that IRF4 over-expression does not completely prevent lenalidomide-induced growth arrest, but reduces cell death by 70% after lenalidomide treatment. Immunoblotting analysis of KMS11 cells indicated that IRF4 over-expression blocks lenalidomide-induced activation of caspase 8, reduces up-regulation of p21waf and increases CDK6 expression but does not significantly affect lenalidomide-induced MYC down-regulation. Although cereblon and IRF4 are broadly expressed in MM, baseline levels of expression are only weakly correlated (r=0.22) in primary MM patient gene expression analysis. Gene expression studies revealed statistical changes in 1,368 genes when comparing high versus low CRBN expression in primary myeloma samples. Interestingly genes associated with high CRBN expression included cyclin D2, SOCS3 and IL4 while genes associated with low cereblon expression included cyclin D1, FRZB and CD200. In order to understand how CRBN is connected with downstream anti-myeloma signaling, a structure-function study was performed to determine which CRBN domain is required for lenalidomide-induced IRF4 down-regulation and cytotoxicity. Lentiviral constructs expressing wild-type CRBN and a series of mutated CRBN were generated, including mutations at thalidomide binding site (Y384A/W386A), deletion of DDB1 binding region (ΔMid) and truncations at N-terminal and C-terminal. Lentiviruses from these constructs were used to infect IMiDs resistant HMCLs, OCI-MY5 and MM1.S res. Both of these cell lines have very low endogenous CRBN expression and they became sensitive to lenalidomide after introduction of wild-type CRBN. Conversely, introduction of CRBN with mutated thalidomide-binding site or with DDB1 binding region depletion failed to mediate lenalidomide toxicity and down-regulation of IRF4. OCI-MY5 cells expressing either N-terminal or C-terminal truncated CRBN showed substantial reduced responses (more than 50%) to lenalidomide compared with wild-type CRBN expressing cells. Deletion of only 20–30 amino acids at either ends of CRBN greatly impaired the protein function, suggesting that protein folding might be important for CRBN-mediated IMiD response. Our data indicate that IMiD induced myeloma cytotoxicity is largely mediated by modifying CRBN associated E3 ubiqutin ligase and subsequent IRF4 downregulation, suggesting the CRBN-IRF4 axis is a potential target for development of new anti-myeloma drugs. Disclosures: Schmidt: Karyopharm: Research Funding. Stewart:Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy.

Abstract Introduction A unique biological characteristic of MM plasma cells (PCs) is the substantial production of immunoglobulin proteins. This process requires disulfide bond formations that in turn generate large amounts of H2O2. The Trx-TrxR reductase system exists to combat this oxidative stress; however, cytotoxicity can occur when the cells' antioxidative capacity is overwhelmed. Recently, we demonstrated that IMiDs inhibit peroxidase-mediated decomposition of H2O2, and that lenalidomide sensitivity in MM correlates with the degree of antioxidative capacity (Sebastian et al. 2015 ASH). In this study we sought to better understand this inhibitory process. Methods We used various human MM cell lines with different sensitivity to lenalidomide. Cell viability was assessed by the MTT assay. Antioxidative capacity was measured via the total cellular oxidation of reduced flavin adenine dinucleotide (FADH2) and reduced nicotinamide adenine dinucleotide (NAD(P)H) after H2O2treatment. A CRBN CRISPR/Cas9 KO plasmid was used to generate CRBN knockout cells and lentivirus system was used to over-express CRBN in MM cells. Results We found that IMiDs inhibit TrxR mediated intracellular H₂O₂ decomposition in a CRBN dependent fashion. Unlike lenalidomide, the direct TrxR inhibitor auranofin was very effective in inducing cell death in MM cell lines, in a CRBN independent fashion. By using MM.1R isogeneic cells with and without CRBN, and the CRBN-overexpressing OCIMY-5 cell line (transfected with wt-CRBN) we showed that auranofin treatment caused cytotoxicity irrespective of CRBN level of expression, while lenalidomide was only effective in CRBN expressing cells. Clinically achievable concentrations of auranofin treatment induced cell signals similar to lenalidomide, including degradation of IKZF1, IKZF3. As with lenalidomide, the sensitivity of CRBN expressing cell lines to auranofin correlated with their basal antioxidative capacity (MM.1S cells are sensitive and have with lower anti-oxidative capacity while RPMI-8226 is resistant due to its high anti-oxidative capacity). We also found that targeting Trx (downstream effector of TrxR) with the direct inhibitor PX12 overcame this cellular anti-oxidative capacity and inhibited cell proliferation in both RPMI-8226 and MM.1S in a CRBN independent fashion. Combination of auranofin with bortezomib showed a synergistic effect, but only in cells with lower anti-oxidative capacity. In contrast, PX-12, showed a synergistic effect with bortezomib in all analyzed MM cells lines, irrespective of their anti-oxidative capacity and CRBN expression. Conclusions IMiDs inhibit TrxR-mediated intracellular H2O2decomposition in CRBN expressing MM. While the direct TrxR inhibitor, auranofin, bypassed the CRBN requirement for inducing cytotoxicity in MM, its cytotoxic effect could be overcome by the cells antioxidative capacity. Direct Trx inhibition (such as PX-12) seems like a potent strategy for MM therapy to overcome cellular CRBN requirements and higher anti-oxidative capacity cells. Disclosures Bergsagel: Novartis: Research Funding; Amgen, BMS, Novartis, Incyte: Consultancy. Stewart:celgene: Consultancy. Fonseca: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; Janssen: Consultancy; Bayer: Consultancy; Millennium, a Takeda Company: Consultancy; Millennium, a Takeda Company: Consultancy; BMS: Consultancy; Millennium, a Takeda Company: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Celgene: Consultancy; AMGEN: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Millennium, a Takeda Company: Consultancy; Novartis: Consultancy; Celgene: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Janssen: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Bayer: Consultancy; AMGEN: Consultancy; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Novartis: Consultancy; AMGEN: Consultancy; Sanofi: Consultancy; AMGEN: Consultancy; Sanofi: Consultancy; BMS: Consultancy; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms.

Abstract Background: p38a mitogen-activated protein kinase (MAPK) mediates production of proinflammatory cytokines and other factors including PGE-2 induced RANKL and IL-1 induced IL-6. SCIO-469 inhibits p38a MAPK blocking synthesis of Il-1ß, PGE2, VEGF, MIP-1α and TNFα thus reducing in vitro MM tumor growth and survival, and drug resistance. Objectives: Assess efficacy, safety, tolerability of SCIO-469 as M or MB in patients (pts) with relapsed and refractory multiple myeloma. Methods: Pts were treated with SCIO-469 alone (60 mg po tid)and assessed on Days 15, 30, 52 and 73. Bortezomib (1.0–1.3mg/m2 d 1,4,8,11 q21d) was added to M for PD or SD. Pts who had clinical benefit on either M or MB at Day 73 were allowed to continue on extension study for up to a total of 168 d, to further evaluate efficacy and saftey of M or MB. Results: 62 pts were enrolled: 39 M, 23 F, median age was 63 years (range 48–84), D-S stage at Dx: I (6%), II (32), III (60%%); median time from diagnosis to treatment 3.1 years; median # prior Rx = 5; including 29% with > 6; 71% prior transplant. 27 had received prior bortezomib and 17 were considered refractory. All 62 pts received study drug; 34 pts received MB at some time during the treatment period. 5 of the 28 (18%) pts treated with M and 25 of 34 (74%) pts treated with MB continued on the extension study. Median time on study was 77.5 d (range 7–304) for M and 180.5 d (range 34–275) for MB. Best response (EBMT; Blade 1998) to M was stable disease in 24% of pts; the best response to MB was 9/34 PR (26%), 2/34 MR (6%),3/34 SD (9%). Median time to progression (TTP) was 50 days for M compared to 140 days for MB. Safety/Tolerability: Adverse events on M were tabulated separately from those on MB. Neutropenia was minimal, < 3% with either regimen; anemia (47 vs 29%) and thrombocytopenia (26 vs 16%) were more prevalent with MB vs M, respectively. Epistaxis, fatigue and diarrhea were seen in > 15% of pts receiving M. Nausea, vomiting, diarrhea, constipation, abdominal pain, fatigue, pyrexia, anorexia, URI, arthralgia, muscle cramp, dizziness, peripheral neuropathy and headache occurred in > 15% pts receiving MB. 10 pts died on study, 9 during primary phase and 1 during extension phase. 3 deaths were the result of sepsis, the remaining 7 were due to progressive disease. Conclusions: SCIO-469, 60 mg tid, as monotherapy or in combination with Bortezomib was well tolerated. Although there were no objective responses in M (compared to 32% (11/34) in MB-including 4 patients who had failed prior bortezomib), 24% had stable disease at the end of monotherapy. Further studies to refine the dose of SCIO-469 as monotherapy and of SCIO-469 in combination with other agents are warranted.

Abstract Previous work in our laboratory has identified the importance of the NFB signaling pathway for plasma cell (PC) survival and accumulation in Multiple Myeloma (MM). Although up to 43% of patient PCs appear to have activated NFkB by gene expression profiling (GEP), the remainder must rely on an alternate signaling pathway for their survival. We examined our MM GEP datasets and supervised the clustering of patients according to an index of NFkB activity. The majority of patients not activating NFkB were associated with a high IL-6/Stat3 signature, which included the protein phosphatase of regenerating liver-3 (PRL-3). Interestingly, analysis of the PRL-3 promoter revealed competing binding sites for both NFkB and STAT3 within the first intron, suggesting that these play a role in the transcriptional regulation of this gene. PRL-3 has been previously demonstrated to be absent in most normal tissues while its expression in MM cells is quite elevated. As normal PCs have low levels of PRL-3 expression, we determined the upper limit of normal to be 3SD above the mean of these cells. Using this cutoff we report that elevated PRL-3 expression is observed in plasma cells from 1/15 normal individuals, 4/22 MGUS patients and 47/126 patients with either smoldering or overt MM (6.7%, 18.2% and 45.6% respectively). Less than 10% of patients were seen to have both an elevated NFkB index and high PRL-3 expression. Patients with higher expression of PRL-3 were found to have statistically significant higher mean values of creatinine, C-reactive protein, lower albumin levels and a lower overall survival in our Mayo Clinic MM dataset. To examine the role PRL-3 in MM biology we first stimulated MM cell lines with IL-6 and observed PRL-3 up-regulation in two cell lines (INA6, OPM1) but not in JK6L (an NFkB activated cell line). Using a luciferase reporter we have determined that STAT3 induction of PRL3 expression requires the first intron of the PRL3 gene which contains the putative STAT3 binding site. Finally we show that PRL-3 inhibition by shRNA leads to decreased cell growth and loss of IL-6 responsiveness in vitro in at least one cell line. Based on these results, we propose that the majority of MM patients depend on either the NFkB or STAT3 signaling pathways for their survival and that these are to a large degree mutually exclusive. Our experimental results suggest that PRL-3 plays a role in IL-6/STAT3 signaling and that it is a promising target for drug development.