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Abstract Immunomodulatory drugs (IMiDs) are widely used in the treatment of patients with Multiple Myeloma (MM) however, only 30% of relapsed MM patients respond to single agent therapy and most patients eventually develop drug resistance. The molecular target of IMiDs in MM is cereblon but other parallel pathways or downstream events which enhance or preclude drug responsiveness are unknown. We therefore conducted a genome scale small interfering RNA (siRNA) lethality study in MM in the presence of increasing concentrations of lenalidomide. Primary screening was performed in a single-siRNA-per-well format with the human druggable genome siRNA set V4 comprising four siRNAs targeting each of 6,992 genes (total 27968 siRNAs). Lenalidomide was added 24 hours post transfection and cell viability was measured by ATP-dependent luminescence at 144 hours after transfection. Primary screen data was rigorously evaluated for multiple quality control metrics and found to exceed all expected performance parameters with >98% global transfection efficiency, <0.25 CV values, and minimal plate-to-plate and set-to-set variations observed. Hit selection was performed by analysis of IC50 value shift in the presence of each testing siRNA compared with three different control siRNA oligos. 160 candidate genes that enhance lenalidomide sensitivity upon silencing (sensitizers) were selected and re-screened with four siRNA oligos targeting each gene. 50 genes were identified as reproducible lenalidomide sensitizers including three Peroxisome (PEX) family proteins (PEX1, PEX10 and PEX7) and seven RAB family proteins (RAB17, RAB1A, RAB26, RAB30, RAB36, RAB4A and RAB8A). Four kinase genes were also identified in sensitizer hits and two of these, I-Kappa-B Kinase-Alpha (IKK1 or CHUK) and ribosomal protein S6 kinase (RPS6KA3 or RSK2), encode proteins that associate with significance together with a phosphorylation dependent transcription factor (CREB1) in Toll signaling pathways (p-value 0.0068). RSK2 is a serine/threonine-protein kinase that acts downstream of oncogenic FGFR3 mediated signaling and is phosphorylated by ERK (MAPK1/ERK2 and MAPK3/ERK1 signaling) during hematopoietic transformation. Phosphorylated RSK2 was previously reported to be frequently expressed in myeloma cell lines and primary myeloma cells. Using lentiviral shRNA expression, we demonstrated that knockdown of RSK2 in three genetically variable MM cell lines induced cyctocytoxiticy and consistently sensitized to lenalidomide. Two selective small molecular inhibitors of RSK2 (SL 0101-1 and BI-D1870) were then demonstrated to synergize with lenalidomide to induce myeloma cell cytotoxicixity. To further understand the mechanism underlying sensitization, immunoblotting analysis was performed to look at downstream changes after either RSK2 knockdown or RSK2 inhibition by BI-D1870. We found that both RSK2 knockdown and BI-D1870 treatment, mimicking lenalidomide treatment or cereblon inhibition, induced downregulation of both IRF4 and MYC in MM cells. The combination of lenalidomide and BI-D1870 not only produced a substantial synergistic effect inducing MM cytotoxicity, but also demonstrated a significant enhancement of downregulation of IRF4 and MYC. Forced overexpression of RSK2 attenuated the synergistic effects of lenalidomide and BI-D1870. In summary, our high throughput screen identified multiple gene targets that associate with increasing sensitivity to IMiDs in MM cells, of which, RSK2 was further validated by both shRNA silencing and specific inhibitors as an effective target to cooperate with IMiDs to induce myeloma cytotoxicity. Clinical studies of RSK2 inhibition in concert with IMiD (cereblon inhibitor) therapy would be appropriate. Disclosures: Stewart: Onyx: Consultancy, Research Funding; Millennium: Honoraria, Research Funding; Celgene: Honoraria; BMS: Honoraria.

Abstract Introduction B progenitor acute lymphoblastic leukemia (B-ALL) is a leading cause of childhood cancer death. Many chimeric genes have been identified and led to a refined classification of B-ALL and tailored therapies. Still, up to 30% of B-ALL cannot be classified into established subtypes, and the outcome for many is poor. Methods To identify novel subtypes of B-ALL, we performed integrative genomic analysis including transcriptome sequencing (RNA-seq) of 1,988 cases from St. Jude, Children's Oncology Group and adult cooperative group studies and analyzed chromosomal rearrangements, gene-expression profiles (GEP), somatic mutations and chromosome-level copy-number alterations. Cases lacking known or putative subtype-defining alterations underwent whole genome sequencing. Effects on proliferation and transformation of novel lesions were assessed by retroviral expression in cell lines and point-mutation knock-in mice using CRISPR/Cas9 genome editing. Results Using integrated genetic alterations and gene expression profiling, we classified 23 B-ALL subtypes (Table and Figure). Three groups included cases with similar GEP as canonical subtypes (ETV6-RUNX1, KMT2A-rearranged, and ZNF384-rearranged), but lacking the expected drivers (e.g., ETV6-RUNX1-like, n=42). Eighteen cases (0.9%) had rearrangements of BCL2, MYC and/or BCL6 showing a distinct GEP; they were mostly adults (n=16) with very poor outcome. These alterations, rarely seen in ALL, are identical to those observed in "double/triple hit" lymphoma, and are of pre-B immunophenotype. Eight cases with tightly clustered GEP comprised a novel subtype defined by IKZF1 N159Y missense mutation. N159Y is in the DNA-binding domain of IKZF1, and is known to perturb IKZF1 function, with distinct nuclear mislocalization and induction of aberrant intercellular adhesion. We identified two subtypes with distinct GEP characterized by PAX5 alterations. One, herein termed PAX5 altered (PAX5alt), comprised 148 (7.4%) cases, was characterized by diverse PAX5 alterations including rearrangements (n=57), sequence mutations (n=46) and/or focal intragenic amplifications (n=8). These PAX5 alterations were found in 73.6% of PAX5alt cases and different alteration types were mutually exclusive. Other PAX5 alterations, including deletions and large-scale amplifications were also assessed using SNP array, but were not enriched in the PAX5alt group. Clinically, PAX5alt pediatric and adult patients had favorable (96.8±3.2%) and intermediate (42.1±10.2%) 5-year overall survival (OS), respectively. The other GEP distinct subtype comprised 44 cases, all with PAX5 P80R missense mutations. In 30 of these cases, PAX5 P80R was homozygous due to deletion of the wild-type (WT) PAX5 allele or copy-neutral loss of heterozygosity. Of the other 14 cases with heterozygous PAX5 P80R mutations, 13 had a second frameshift (n=7), nonsense (n=2) or deleterious missense (n=4) PAX5 mutation. Four of the remaining 1,944 cases also had the PAX5 P80R mutation, but all were heterozygous with preservation of a WT PAX5 allele, consistent with the notion that homozygous or compound heterozygous PAX5 P80R mutation is the hallmark of this subtype. Adult PAX5 P80R cases (n=14) showed better 5-year OS (61.9±13.4%) than those in PAX5alt subtype (42.1±10.2%). To examine the effects of PAX5 P80R on B-cell maturation, WT PAX5, PAX5 P80R, V26G and P34Q were expressed in Pax5-/- lineage-depleted bone marrow cells. Expression of WT PAX5, PAX5 V26G and P34Q resulted in near complete rescue of B cell differentiation; however, expression of PAX5 P80R blocked the differentiation at the pre-pro-B stage of B-cell maturation. Further, Pax5 P80R heterozygous or homozygous mice developed pre-B-ALL with a median latency of 166 and 87 days, respectively, with heterozygous mice acquiring alterations on the second allele. In contrast, Pax5+/- mice, and those harboring G183S mutation observed in familial leukemia, do not spontaneously develop B-ALL. Conclusions These results show the utility of transcriptome sequencing in defining subtypes and founding genetic alterations in B-ALL, provide a revised taxonomy of the disease across the age spectrum, and reinforce the central role of PAX5 as a checkpoint in B lymphoid maturation and leukemogenesis. Disclosures McKay: ImmunoGen Inc.: Employment. Tallman:Orsenix: Other: Advisory board; AROG: Research Funding; BioSight: Other: Advisory board; Cellerant: Research Funding; AbbVie: Research Funding; Daiichi-Sankyo: Other: Advisory board; ADC Therapeutics: Research Funding. Stock:Jazz Pharmaceuticals: Consultancy. Konopleva:Stemline Therapeutics: Research Funding. Relling:Shire Pharmaceuticals: Research Funding. Mullighan:Cancer Prevention and Research Institute of Texas: Consultancy; Amgen: Honoraria, Speakers Bureau; Abbvie: Research Funding; Loxo Oncology: Research Funding; Pfizer: Honoraria, Research Funding, Speakers Bureau.

Abstract As multiple myeloma tumors universally dysregulate cyclin D genes we conducted high-throughput chemical library screens for compounds that inhibit signaling pathways driving cyclin D2 promoter transactivation, assaying more than 4,000 compounds. The top-ranked compound from these studies was a natural triterpenoid, pristimerin. Pristimerin markedly suppressed cyclin D2 promoter activity (>90%) in 3T3 fibroblast cells and inhibited cyclin D1, D2 and D3 protein expression in myeloma tumor cells. Strikingly, the early (4 hour) transcriptional response of myeloma cells treated with pristimerin closely resembles cellular responses elicited by proteosome inhibitors (P<10−9) (Connectivity Map Build 2, www.broad.mit.edu/cmap), with rapid induction of heat shock proteins (HSP70 >90-fold), activating transcription factor (ATF) 3 and CHOP. Enzymatic assays performed with purified 20S proteosome, or with total cellular extract, confirm that pristimerin rapidly and specifically inhibits chymotrypsin-like 20S proteosome activity at low concentration (<100nM), causing sustained inhibition lasting >6 hours. Consistent with inhibition of proteosome function, pristimerin causes rapid and sustained accumulation of high molecular weight poly-ubiquitinated protein in myeloma cell lines. Notably, related cytotoxic triterpenoid drugs, such as the methyl ester of 2-cyano-3,12-dioxooleana-1,9(11)-dien-28-oic acid (CDDO-Me, RTA 402) or betulinic acid or the ginsenosides - all of which show promising anti-cancer activities and are currently in clinical trials for advanced lymphoma, leukemia or solid malignancies - commonly inhibit NF-kB activation via direct inhibition of IKKα or IKKβ. In contrast drugs that function as proteosome inhibitors also commonly suppress NF-kB function instead by impairing degradation of ubiquitinated IkB. Immunoblotting for phosphorylated IkB confirms that pristimerin, like other triterpenoids, acts upstream of IkB to inhibit its phosphorylation, although pristimerin simultaneously inhibits proteosome activity with marked potency to diminish the clearance of ubiquitinated IkB. As a result of this two-fold stabilization of IkB, pristimerin causes overt and specific suppression of NF-kB mediated transcription, measured by a panel of transcriptional reporters with synthetic promoters containing 5x repeats of generic binding sites for NF-kB, AP-1, CREB or TCF4. Importantly, specific suppression of constitutive NF-kB transcriptional activity was pronounced in myeloma cells with inherent NF-kB pathway activation resulting from bi-allelic deletion of the TRAF3 tumor suppressor. Constitutive activation of the NF-kB pathway occurs in a significant proportion of primary myeloma tumors, most commonly via inactivation of TRAF3. Selective silencing of NF-kB driven transcription in myeloma cells may mediate the potent suppression of cyclin D proteins induced by this compound. Significantly, multiple myeloma cells are exquisitely sensitive to both proteosome inhibition or NFkB pathway inhibition. Consistent with these twin vulnerabilities, pristimerin is potently and selectively lethal to primary myeloma cells from patients (IC50<100nM) grown in mixed lineage culture and inhibits the growth of xenografted human plasmacytoma tumors grown in mice, providing a strong rationale for pharmaceutical development of triterpenoid dual-function proteosome-plus-NF-kB pathway inhibitors as therapeutics for multiple myeloma and related human malignancies.

Background The precise molecular mechanism and targets of lenalidomide specific anti-Multiple Myeloma (MM) activity remain largely unknown, although, cereblon (CRBN) has been identified as a central mediator of activity with IRF-4 acting as a downstream molecule. Lenalidomide resistance in MM cells which, despite CRBN depletion, are able to restore their IRF-4 levels suggests the existence of alternative pathways. Methods To measure apoptosis and gene expression analysis 1x 106cells were incubated with 10μm to 50μm of lenalidomide for 24 to 96 hours before they were examined by annexin-PI and FACS analysis. Gene and protein expression were measured by RT-PCR, western blot, and immunohistochemistry. For lenalidomide followed bortezomib serial studies, cells were incubated with 10μm of lenalidomide for 48 hours and later treated with bortezomib for 24 to 48 hrs. CRBN and immunoglobulin light chain knock-down were performed by lentiviral mediated shRNA. Results We found lenalidomide induces Endoplasmic reticulum stress (ERS) via accumulation of intracellular immunoglobulin proteins, but only in the presence of CRBN in a panel of MM cell lines. This accumulation of intracellular proteins resulted in ERS as documented by western blot and RT-PCR in OPM2 and MMIS cell lines. We next utilized OPM2 cells knocked down for CRBN and control, non-target (NT), and treated with different doses of lenalidomide. After three days of treatment an ERS response was occurring in OPM2-NT cells but not in CRBN knockdown cells. Using Western blot we found decreased XBP-1u and increased XBP-1s, ERS marker proteins, in CRBN positive (NT) cells after 72 hours of lenalidomide treatment, but not in CRBN knock-down cells. Another ERS marker GRP78/BiP was also clearly accumulated after lenalidomide treatment in CRBN positive cells. Inactivation of the tumor suppressor p53 by degradation is a mechanism utilized by cells to adapt to ERS has been reported. We also found that p53 protein down regulated after lenalidomide treatment in CRBN positive OPM2 and MMIS cells. We have analyzed other isogenic cell lines MM1.S (lenalidomide-sensitive) and isogenic MM1.Sres (lenalidomide-resistant) HMCLs and found that lenalidomide induces ERS in MM1.S but not MM1.Sres cells. CRBN is important for lenalidomide to induce immunoglobulin protein accumulation and ERS was further proved by over-expressing CRBN in OCI-My5 MM cell line and subsequent lenalidomide treatment. To test the effect of light chain accumulation as ER stressors, we knocked down immunoglobulin light chain lambda in human MM cell line OPM2. Knock-down of lambda light chain in OPM2 cells resulted in lenalidomide resistance and it induced endoplasmic reticulum stress mediated anti-myeloma activity. Our preliminary data reveals that lenalidomide mediated progressive ERS can positively enhance bortezomib induced apoptosis in an in-vitro MM model. We pre-treated myeloma cell lines with lenalidomide and subsequently treated with bortezomib. MM cells pre-treated with lenalidomide for two days and there after treated with bortezomib clearly shown increased sensitivity to bortezomib induced apoptosis than non-pre-lenalidomide treated cells. Conclusion Here we show that lenalidomide causes accumulation of immunoglobulin light chains, inducing progressive ER stress, resulting in anti-myeloma activity and that effect depends on the presence of CRBN. Proteasome inhibitors such as bortezomib also sensitize MM cells to endoplasmic reticulum stress-mediated apoptosis. Our data demonstrated the synergistic effect of lenalidomide and proteasome inhibitors, likely due to the augmented protein stress. This data support the use of serial therapy utilizing pre-lenalidomide treatment followed by bortezomib or carfilzomib treatment. Disclosures: Fonseca: Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy, Research Funding; Binding Site: Consultancy; Millennium: Consultancy; AMGEN: Consultancy; Cylene: Research Funding; Prognostication of MM based on genetic categorization of the disease: Prognostication of MM based on genetic categorization of the disease, Prognostication of MM based on genetic categorization of the disease Patents & Royalties.

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

Abstract Abstract 1409 MYC is among the most prolific oncogenes in cancer, yet pharmacologic strategies to modulate the function of the c-Myc oncoprotein do not exist. Toward this objective, we have undertaken to target c-Myc transcription by interfering with chromatin-dependent signal transduction to RNA polymerase, specifically by inhibiting the acetyl-lysine recognition domains (bromodomains) of putative co-activator proteins implicated in transcriptional initiation and elongation. Using a selective small-molecule bromodomain inhibitor, JQ1, we identify BET bromodomain-containing proteins as transcriptional regulatory factors for c-Myc. BET inhibition with JQ1 rapidly downregulates c-Myc transcription, followed by depletion of chromatin-bound c-Myc and genome-wide downregulation of Myc-dependent target genes. In translational model systems of multiple myeloma and Burkitt's lymphoma, both canonical MYC -dependent hematologic malignancies, JQ1 treatment produces a potent antiproliferative effect associated with cell cycle arrest. In multiple myeloma, adhesion to bone marrow stroma is associated with upregulation of BRD4, a BET bromomdomain coactivator protein. Inhibition of Myc function with JQ1 leads to impaired adhesion to stroma and cellular senescence, a classical Myc-specific phenotype. Mechanistically, JQ1 treatment depletes BRD4 from IgH enhancers, leading to prompt and robust downregulation of MYC transcription. In vivo efficacy of JQ1 in two disseminated models of multiple myeloma and in a Burkitt's lymphoma human xenograft establishes the therapeutic rationale for BET bromodomain inhibition in these diseases. Together, these studies identify a mechanistic rationale for targeting c-Myc in human cancer, and potentially other undruggable oncogenes driven by immunoglobulin rearrangement. Note: G.C.I. and J.E.D. have made equal contributions to this research; C.S.M. and J.E.B. are jointly senior authors Disclosures: Richardson: Millennium: Advisory Board; Celgene: Advisory Board; Johnson & Johnson: Advisory Board; Novartis: Advisory Board; Bristol Myers Squibb: Advisory Board. Ghobrial:Bristol-Myers Squibb: Research Funding; Millennium: Research Funding; Noxxon:; Millennium:; Celgene:; Novartis:. Anderson:Celgene: Consultancy, Honoraria; Millennium Pharmaceuticals, Inc.: Consultancy, Honoraria; Novartis: Consultancy, Honoraria. Kung:Novartis Pharmaceuticals: Consultancy, Research Funding. Mitsiades:Millennium Pharmaceuticals: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Novartis Pharmaceuticals: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Merck: Consultancy, Honoraria; Kosan: Consultancy, Honoraria; Pharmion: Consultancy, Honoraria; Centocor: Consultancy, Honoraria; Amnis Therapeutics: Consultancy, Honoraria; PharmaMar:; OSI Pharmaceuticals: Research Funding; Amgen: Research Funding; AVEO Pharma: Research Funding; EMD Serono: Research Funding; Sunesis: Research Funding; Gloucester Pharmaceuticals: Research Funding; Genzyme: Research Funding; Johnson & Johnson: Research Funding. Bradner:Acetylon Pharmaceuticals: Scientific Founder; SHAPE Pharmaceuticals: Scientific Founder; Tensha Therapeutics: Scientific Founder.

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

Abstract Background: Combination regimens incorporating bortezomib (VELCADE®, Vc), lenalidomide (REVLIMID®, Rev), dexamethasone (Dex) and cyclophosphamide (Cy) (Vc–Dex, Rev–Dex, Vc–Dex–Rev [VDR], and Vc–Dex–Cy [VDC]), have all shown substantial activity in previously untreated multiple myeloma (MM). A combination of all four agents (VDCR) may result in even greater activity. This randomized multi-center 3-arm phase I/II EVOLUTION study is investigating the efficacy and safety of VDR, VDC, and VDCR as initial therapy in previously untreated MM patients (pts). We now report safety and efficacy results from the phase l dose-escalation portion of the study, which sought to determine the maximum tolerated dose (MTD) of the VDCR regimen. These results represent the first clinical data with this novel 4-drug combination that includes bortezomib, lenalidomide, an alkylator, and a corticosteroid. Methods: Pts received Vc 1.3 mg/m2 IV (d 1, 4, 8, 11), Dex 40 mg PO (d 1, 8, 15), Rev 15 mg PO (d 1–14), plus Cy 100, 200, 300, 400, or 500 mg/m2 PO (d 1, 8) for up to eight 21-d cycles, followed by Vc 1.3 mg/m2 (d 1, 8, 15, 22) for four 42-d maintenance cycles. Pts received prophylactic antibiotics, acyclovir, transfusion support and concomitant anticoagulants as required. Eligible pts wishing to receive autologous stem cell transplant (ASCT) could undergo stem cell mobilization any time after cycle 2, and discontinue therapy for ASCT any time after cycle 4. The MTD was defined as the highest dose of Cy in combination with VDR resulting in ≤1 dose-limiting toxicity (DLT) in 6 pts. A DLT was defined as: platelet count <25,000/mm3 lasting >7 days or any platelet count <10,000/mm3; grade 4 neutropenia lasting >7 days; any ≥grade 3 non-hematologic toxicity considered to be related to Cy except for inadequately treated nausea, vomiting, and diarrhea, or any toxicity resulting in a >2 week treatment delay. Results: Twenty-six pts were enrolled; 1 pt was not dosed due to a heart problem and was excluded (dose level 4) and 4 pts were not evaluable for DLT. In the 25 treated pts, median age was 61 years (range 49–79); 52% were male; 48% had ISS Stage lI and 4% Stage III disease, and 44% had KPS ≤80%. At data cut-off, 11 pts remain on treatment and 9 have undergone successful ASCT. To date, median treatment duration is 4 cycles (range 2–11). Two pts experienced DLT: 1 grade 4 febrile neutropenia at dose level 4 (Cy 400 mg/m2), and 1 grade 3 herpes zoster virus reactivation despite antiviral prophylaxis at dose level 5 (Cy 500 mg/m2). The recommended phase II dose of Cy in the VDCR regimen was the highest planned dose of 500 mg/m2. The most common treatment-emergent AEs were constipation (64%), fatigue (60%), and nausea (52%). Hematologic toxicities were acceptable, with grade 3 neutropenia in 16% of patients, grade 4 in 4%, and grade 4 thrombocytopenia in 4%. Peripheral neuropathy (56%), included 8% grade 3 but no grade 4; no deep-vein thrombosis/pulmonary embolism events were reported. Overall rate of serious AEs was 40%; the only SAE reported in >1 pt was febrile neutropenia (2 pts). Best responses to date by International Uniform Response Criteria are shown in the table. Preliminary response rates are: 100% ≥PR, 68% ≥VGPR, 32% CR/nCR, 28% CR/stringent CR and 20% sCR. Ten pts have undergone stem cell mobilization with median CD34+ yield of 4.95×106/kg. Conclusions: VDCR was well tolerated and hematologic toxicities were manageable. The current study shows that the VDCR regimen is feasible and highly active in newly diagnosed myeloma and merits further testing in clinical trials. Enrollment to the 3 arms (VDR, VDC and VDCR) of the phase ll portion of the study and testing for minimal residual disease by flow cytometry are ongoing. Best unconfirmed response to date with VDCR Dose level 1 2 3 4 5 Cyclophosphamide dose, mg/m2 100 200 300 400 500 Enrolled 3 4 4 8 7 Treated 3 4 4 7 7 Still on treatment – 1 1 2 7 Best unconfirmed response to date CR (sCR) 2 (2) 1 (1) 1 (1) 2 1 (1) VGPR (nCR) 1 – 3 (1) 4 2 PR – 3 – 1 4

Abstract Background The JAK1/JAK2 inhibitor ruxolitinib (RUX) is approved for treatment of myelofibrosis (MF). However, some patients do not respond to RUX, while others lose responsiveness or develop intolerance to RUX over time. Preclinical data also suggest that certain JAK2 mutations (eg the gatekeeper mutation M929I) may confer resistance to RUX (Leukemia 2012;26:708). Options for these RUX resistant/intolerant patients, particularly with regard to further JAK inhibitor therapy, are unclear. Fedratinib (SAR302503) is a JAK2-selective inhibitor which has demonstrated clinically meaningful reductions in splenomegaly and symptom burden in patients with MF, with an acceptable and consistent safety profile (J Clin Oncol 2011;29:789. Haematologica 2013;98:S1113). Fedratinib sensitivity in vitro is unaffected by the M929I mutation. This pre-specified interim analysis of the JAKARTA-2 study (NCT01523171) investigated the efficacy and safety of fedratinib in MF patients previously treated with RUX. Methods JAKARTA-2 is a Phase II, multicenter, open-label, single-arm study of patients who previously received RUX for MF. Patients ≥18 yrs with splenomegaly and platelet count ≥50 ×109/L received fedratinib 400 mg orally, once daily for consecutive 4-wk cycles (permitted dose adjustment to 200–600 mg daily). Eligible patients had received ≥14 d RUX treatment, and had discontinued RUX for ≥14 d prior to starting fedratinib. Although there is no consensus definition of RUX resistance/intolerance, for the purpose of this study patients were classed (investigator assessment) as resistant (lack or loss of response) or intolerant to RUX. Primary endpoint for the interim analysis: spleen response rate (RR) (≥35% reduction in spleen volume from baseline at Wk 12 [MRI/CT blinded central review]) in the per-protocol (PP) population. Secondary endpoints: symptom RR (≥50% reduction in total symptom score [TSS: modified Myelofibrosis Symptom Assessment Form] from baseline to Wk 12) and safety. Results At the cut-off date for this interim analysis, 27 patients had received fedratinib treatment (median RUX exposure 10.7 months [range 1.9–34.4]): median age 69 yrs; 56% male; 67% primary MF; 63% high-risk MF; 67% JAK2V617F positive; 41% platelet count <100 × 109/L; baseline median spleen volume 3190 mL [1072–7815]; baseline median TSS 19.6 [4.9–46.0]. Eighteen patients were considered resistant by the treating physician (8 lack of response, 3 disease progression, 7 loss of response; median RUX exposure 11.1 months [range 1.9–34.4]) and 9 intolerant (6 hematologic, 3 non-hematologic toxicity; median RUX exposure 9.2 months [2.9–33.2]) to RUX. Median fedratinib exposure to cut-off date: 4 cycles (range 1–10); 19 patients remain on treatment. Spleen RRs were 40% (8/20 PP patients) and 43% (3/7) in patients with baseline platelet count <100 ×109/L. Overall, 19% (5/26 evaluable patients) had a symptom response by Wk 12 (Table). The majority of patients had a reduction in TSS at Wk 12 (Figure). The most common non-hematologic treatment-emergent adverse events (AEs) were gastrointestinal (nausea 67%; diarrhea 56%; vomiting 48%). Grade 3/4 diarrhea occurred in 2 patients; no Grade 3/4 vomiting or nausea. Anemia was the most common hematologic AE (all grades, 93%; Grade 3, 41%; Grade 4, 0%). Thrombocytopenia (all grades) occurred in 19 (70%) patients; Grade 3 in 6 patients and Grade 4 in 2 patients. One patient had Grade 3 AST elevations and 1 patient had Grade 3 hyperbilirubinemia. Seven patients (26%) discontinued treatment due to AEs. There were 2 deaths on study, both due to disease progression. Conclusions Interim results from the JAKARTA-2 study indicate that once-daily fedratinib provides clinical benefit, through reduced splenomegaly and symptom burden, in MF patients previously treated with RUX. The safety profile was acceptable and manageable, with safety results to date consistent with those reported in previous trials of fedratinib. Sponsored by Sanofi. Disclosures: Harrison: Novartis: Research Funding; Novartis, Sanofi, YM Bioscience, Celgene, SBio, Gilead: Honoraria; Novartis, Sanofi, Shire: Speakers Bureau; Novartis, Sanofi, YM Bioscience, SBio, Gilead: Membership on an entity’s Board of Directors or advisory committees. Jourdan:Sanofi: Honoraria. Kiladjian:Novartis, Celgene, AOP Orphan: Research Funding; Novartis, Sanofi, AOP Orphan: Honoraria; Novartis, Sanofi, AOP Orphan: Membership on an entity’s Board of Directors or advisory committees. Cervantes:Novartis: Speakers Bureau; Novartis and Sanofi: Membership on an entity’s Board of Directors or advisory committees. Niederwieser:Novartis Pharma: Consultancy. Cortes:Incyte, Sanofi: Consultancy; Incyte, Sanofi: Research Funding. Passamonti:Novartis, Celgene, Incyte, Sanofi, Roche: Honoraria. Reiter:Sanofi: Honoraria. Heidel:Novartis Inc.: Honoraria; Novartis Inc.: Research Funding; Novartis Inc.: Membership on an entity’s Board of Directors or advisory committees. Silver:Sanofi: Consultancy; Sanofi: Research Funding; Sanofi: Honoraria. Winton:Sanofi: Research Funding. Gupta:Incyte, Novartis: Consultancy; Incyte, Novartis: Research Funding; Novartis: Honoraria. Gisslinger:AOP Orphan Pharmaceuticals, Novartis, Sanofi, Shire, Celgene, Janssen: Membership on an entity’s Board of Directors or advisory committees; AOP Orphan Pharmaceuticals, Novartis, Sanofi, Shire, Celgene, Janssen: Honoraria. Vannucchi:Novartis: Membership on an entity’s Board of Directors or advisory committees. Talpaz:Novartis, Bristol-Myers Squibb, Ariad, Deciphera: Research Funding; Novartis, Bristol-Myers Squibb, Ariad, Deciphera: Speakers Bureau. Zhang:Sanofi: Employment. Shi:Sanofi: Employment. Mesa:Incyte, Genentech, Lilly, MS Pharma, Gilead: Research Funding.

Abstract Abstract 3513 To identify targets for rational combination therapies with 5-Azacytidine (5-Aza) in myeloid malignancies, we utilized high-throughput RNA-interference (RNAi) viability screening. A siRNA library targeting 572 kinases and a custom collection of 289 putative cancer targets, including cell cycle and apoptosis regulatory genes, were screened alone and in combination with 5-Aza in TF-1 and ML-2 myeloid leukemia cell lines to identify synergistic interactions in reducing cell viability. Of the 572 kinases that were individually silenced, less than 1% significantly increased sensitivity to 5-Aza. The kinase library was also screened in combination with 5-Aza in a third myeloid cell line, THP-1, confirming that few kinases sensitize to 5-Aza when inhibited. While few kinases sensitized to 5-Aza, the anti-apoptotic Bcl-2 family of genes emerged as potent sensitizers to 5-Aza from RNAi screens. Therefore, silencing by siRNA of BCL-XL, BCL-2, BCL-W, MCL-1 and BFL-1 was evaluated in combination with 5-Aza treatment in an expanded panel of myeloid cell lines including TF-1, HEL, THP-1, ML-2 and MDS-L. BCL-XL validated as a vulnerability and potent sensitizer to 5-Aza in erythroid leukemia cell lines TF-1 and HEL, whereas MCL-1 was a strong vulnerability in the monocytic leukemia cell line THP-1 and also a moderate sensitizer to 5-Aza in ML-2, THP-1, TF-1 and HEL. Published proteomics data from our group indicate that M6 and M7 leukemias exhibit higher levels of BCL-XL, while additional unpublished data suggest elevated levels of MCL-1 in M4 and M5 leukemias, supporting our functional observations. Additionally, data from the public database Oncomine suggest that BCL-XL expression is elevated in M6 and M7 leukemias while MCL-1 shows a trend towards elevation in M4 and M5 leukemias. Based on RNAi screening results, siRNA validation experiments and proteomic/mRNA expression data, we evaluated the BCL-2/BCL-XL/BCL-W inhibitor ABT-737 in combination with 5-Aza. ABT-737 resulted in dose-dependent sensitization to 5-Aza in all AML-derived cell lines examined (including M7, M6, M5, M4 and M2 FAB subtypes) and in the MDS cell line MDS-L; however, no sensitization was observed in the CML cell line K562. In extensive ex vivo experiments with 17 primary specimens, potent synergy between 5-Aza and ABT-737 was observed in AML, MDS and MPN samples, but not in most CML samples examined. Calculations with CalcuSyn software demonstrate synergy, with combination index values as low as 0.2, between 5-Aza and ABT-737 both ex vivo and in vitro. The combination of 5-Aza with ABT-737 resulted in substantial induction of apoptosis, measured by the induction of cleaved caspase 3 in TF-1 and HL-60 cells, as compared to either compound alone. Interestingly, although siRNA silencing of MCL-1 in combination with 5-Aza was potent across several cell lines, and silencing of BCL-XL preferentially in an erythroid differentiation background, ABT-737 with 5-Aza sensitized across a variety of cell lines and all myeloid primary specimens ex vivo. We suggest that inhibition of anti-apoptotic Bcl-2 family members is a most promising rational combination strategy with 5-Aza for the treatment of leukemias. Our results also highlight the potential utility of more specific anti-apoptotic Bcl-2 family inhibitors in the lineage-specific treatment of myeloid malignancies. Disclosures: Off Label Use: AraC in AML. Experimental Agent MK1775. Mesa:Incyte: Research Funding; Lilly: Research Funding; SBio: Research Funding; Astra Zeneca: Research Funding; NS Pharma: Research Funding; Celgene: Research Funding.