Citations

Abstract Abstract 2869 Background: Chromosome abnormalities are universal in multiple myeloma (MM) and will ultimately categorize patients into hyperdiploid and non-hyperdiploid MM. Among non-hyperdiploid patients those that exhibit hypodiploidy have the most aggressive clinical phenotype. What genetic features are unique to hypodiploidy are not fully described. Therefore, we performed a comprehensive high-resolution analysis to differentiate and characterize hypodiploid MM. Materials and methods: MM patients were analyzed using a combination of array-based comparative genomic hybridization (aCGH) (n=275) and gene expression profiling (GEP) (n=239). Agilent 244K and Affymetrix U133A Plus 2.0 arrays were used in the aCGH and GEP experiments, respectively. Hypodiploid MM was differentiated using pseudokaryotyping based on aCGH findings. Samples estimated to have less than or equal to 44 chromosomes were designated hypodiploid, 45–47 chromosomes were nonhyperdiploid and greater than or equal to 48 and less than 74 chromosomes were considered hyperdiploid. Using GEP the main gene indices and signatures associated with outcome were determined including the translocation and cyclin D (TC) classification, UAMS 70-gene index, proliferation index, centrosome signature and NF-kB index. Differentially expressed genes were also investigated. Results: A total of 53 (19%) MM patients were classified into the hypodiploid group, mainly characterized by monosomies of chromosomes 13 (83%), 14 (42%), 22 (23%) and × (50%) (females) with p and/or q-arm aberrations including gains of 1q (51%) and 8q (25%) and losses of 1p (49%), 4p (21%), 4q (23%), 6q (38%), 8p (34%), 12p (25%), 12q (26%), 14q (32%), 16p (25%), 16q (51%) and 17p (25%). Patients with loss of 1p were associated with 4p- (p <0.029), 4q- (p<0.0001), 12p- (p<0.007), 12q- (p<0.0002), any 14 (p<0.022), 16p- (p<0.005), 16q- (p<0.001), and monosomy 22 (p<0.024). Patients with loss of 17p were associated with 12p- (p<0.025), 12q- (p<0.039) and 16q- (p<0.031). The main gene indices and signatures in MM showed that nearly one half of the hypodiploid patients having high-risk disease, ranging from 45% with a high 70-gene index, 47% with high centrosome signature and 51% with a high proliferation index. In addition, hypodiploid patients also displayed a translocation type signature in the TC classification defined by 11q13 (24%), 4p16 (24%) and maf (12%). Overall, 253 genes have >2 fold expression change comparing hypodiploid vs. hyperdiploid including a five fold decrease in the heparin-degrading endosulfatase gene SULF2, a decrease of genes in the TGF-b signaling pathway (MYC, ID3, SMAD1, LTBP1) and those involved in Wnt signaling (DKK1, FRZB). Up regulated genes included those from the p53 signaling pathway and cell cycle (CCND2, CDKN1C, RPRM), cell adhesion molecules (ITGB8, CD28) and tight junction pathway (RRAS2, RRAS, CSDA). Conclusion: This represents the most comprehensive genomic characterization of hypodiploid MM to date. These cases exhibit a high propensity for high-risk gene expression profiles and have a high prevalence of −13, −14, 1q gain and 1p loss as predicted. Given our findings it is likely that hypodiploid is not a separate category but rather the genetic “phenotype” of a more advanced clone. Today, using these two platforms together in a routine setting would provide the most comprehensive genetic analysis, important for individualized therapeutics. Disclosures: Fonseca: Consulting :Genzyme, Medtronic, BMS, Amgen, Otsuka, Celgene, Intellikine, Lilly Research Support: Cylene, Onyz, Celgene: Consultancy, Research Funding.

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 Abstract 606 Multiple myeloma is a complex malignancy with multiple underlying genetic events. Our group has spent considerable effort over the last 15 years to elucidate the genetic underpinnings of myeloma. Most recently, we used array-based comparative genomic hybridization (aCGH) as a discovery tool in 62 myeloma patients and 46 myeloma cell lines. In that preliminary screen using the Agilent 44B aCGH platform (∼70kb resolution) we identified a diverse array of abnormalities, which resulted in constitutive activation of the NF-kB pathways. That initial analysis concentrated on the 43 genes we identified as potential targets of the 13 homozygous deletion events detected in the patient samples. A pathway analysis of these genes revealed a single pathway involving TRAF3, TRAF2, BIRC2, BIRC3, and CYLD. This first analysis focused exclusively on abnormalities present in the patient samples as we worried some abnormalities identified exclusively in the cell lines might not be relevant to the pathogenesis of myeloma in patients. However, several abnormalities were equally or more frequent overall but occurred exclusively in cell lines including CDKN2C (14 samples), CDKN1B (4 samples), KDM6A/UTX (4 samples), RB1 (3 samples), TP53 (3 samples). Given the fact that KDM6A/UTX deletions were as frequent as many of the best-described tumor suppressors it seemed like a good candidate but in the absence of patient events or a known function at the time it was not prioritized for further study. Recently, as part of the Multiple Myeloma Research Consortium (MMRC) Genomics Initiative, we have completed the analysis of a cohort of 250 myeloma patient samples by aCGH using the Agilent 244A aCGH platform (∼15kb resolution) and gene expression profiling using the Affymetrix U133Plus2.0 genechip. In this cohort with a significantly improved aCGH platform we identified 17 genes that are recurrently inactivated by homozygous deletions including DIAPH2 (15 samples), CDKN2C (14 samples), TRAF3 (11 samples), CYLD (8 samples), BIRC2/3 (7 samples), KDM6A/UTX (6 samples), and RB1 (5 samples). Based on the significant improvement in resolution and data quality achieved with the Agilent 244A aCGH platform we rescreen all of the cell lines on this improved platform. This significantly changed the frequency of several homozygous deletions in this population with the most frequently targeted genes now being CDKN2C (20 samples), KDM6A/UTX (13 samples), DIAPH2 (7 samples), RB1 (4 samples), TP53 (4 samples), CDKN1B (4 samples), and TRAF3 (4 samples). Moreover, as part of the genomic characterization of a spontaneous myeloma mouse model that we have developed, Vk*-Myc, we have identified recurrent (∼50%) homozygous deletions of Kdm6a/Utx. Therefore, one of the genes most commonly targeted by a homozygous deletion in human and mouse myeloma is KDM6A/UTX. In late 2007 after we had identified the first patients with KDM6A/UTX deletions it was shown that UTX is a functional histone demethylase that removes methyl groups from histone H3 lysine 27 (H3K27me). Given the high incidence of deletions and the fact that MMSET, the overexpressed target gene of t(4;14) in myeloma, is predicted to methylate H3K27, H3K36, and/or H4K20 by evolutionary conservation we developed the hypothesis that myeloma is characterized by abnormalities that result in excessive H3K27me (typically a repressive chromatin mark). Given the extensive whole genome sequencing occurring in the MMRC genomics initiative we elected to focus our resequencing efforts on the cell lines exclusively. These studies identified an additional 4 samples with LOH and an inactivating mutation bringing the total percentage of inactivated cell lines to 33%. Clearly, in the expanded patient and cell line cohorts the inactivation of KDM6A/UTX is not independent of MMSET overexpression suggesting they may act independently or synergistically. We are currently attempting to identify the genes controlled by KDM6A/UTX inactivation to better understand the functional consequences of this highly recurrent event. However, in the mouse model unlike the patient or cell lines, the gene expression profiling has identified a gene expression signature that differentiates UTX inactivated and functional samples suggesting an oncogenic function of inactivation. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 601 A paucity of validated kinase targets in human multiple myeloma (MM) has delayed clinical deployment of kinase inhibitors in treatment strategies. We therefore conducted a kinome-wide small interfering RNA (siRNA) lethality study in MM tumor lines bearing common t(4;14), t(14;16) and t(11;14) translocations to identify critically vulnerable kinases in MM tumor cells without regard to preconceived mechanistic notions. Primary screening was performed in duplicate using an 1800-oligo siRNA library in a single-siRNA-per-well format. 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. After 96 hours, viability was measured by ATP-dependent luminescence. Fifteen kinases were consistently vulnerable in MM cells, including AKT1, AK3L1, AURKA, AURKB, CDC2L1, CDK5R2, FES, FLT4, GAK, GRK6, HK1, PKN1, PLK1, SMG1, and TNK2. While several kinases (PLK1, HK1) were equally vulnerable in epithelial cells, others and particularly the G-protein coupled receptor kinase, GRK6, appeared selectively vulnerable in MM. GRK6 inhibition is selectively lethal to KMS11, OPM1, H929, KMS18 and OCI-MY5 myeloma cells and has minimal effect on 293, MCF7, SF767, A375 or A549 epithelial cells. Persistent expression of FLAG-GRK6 via cDNA rescued KMS11 cells from the lethal effect of a 3'UTR-targeted GRK6 siRNA, but not from control siRNA, validating identification of GRK6 as an essential myeloma survival kinase. Furthermore, concordant results were obtained using four different exon-based GRK6 siRNA, all of which induced GRK6 silencing and similar inhibition of KMS11 proliferation and viability. Significantly, GRK6 is ubiquitously expressed in lymphoid tissues and myeloma, but by comparison appears absent or only weakly expressed in most primary human somatic tissues. From co-immunoprecipitation experiments we demonstrate that GRK6 is highly expressed in myeloma cells via direct association with the HSP90 chaperone. Inhibition of HSP90 with geldanamycin blocks GRK6 protein expression. Importantly, direct GRK6 silencing causes rapid and selective suppression of STAT3 phosphorylation that is associated with sustained reductions in total MCL1 protein levels and MCL1 phosphorylation (within 24 hours), providing a potent mechanism for the cytotoxicity of GRK6 inhibition in MM tumor cells. GF109203X is an inhibitor of both protein kinase C and of GRK6 that causes near total inhibition of these kinases in vitro at distinct concentrations of 0.1μM and 1-10μM respectively. Notably, GF109203X was substantially cytotoxic to 10/14 myeloma tumor lines at concentrations most consistent with GRK6 inhibition (5-20μM), and was selectively more cytotoxic to myeloma tumor cells than to non-myeloma cell lines (P=0.01), highlighting the potential of GRK6 as a pharmaceutical target for selective therapeutic intervention in myeloma. As mice that lack GRK6 are healthy, inhibition of GRK6 represents a uniquely targeted novel therapeutic strategy in human multiple myeloma. Disclosures: Perkins: MMRC: Employment. Reeder:Celgene: Research Funding; Millennium: Research Funding. Fonseca:Otsuka: Consultancy; BMS: Consultancy; Amgen: Consultancy; Medtronic: Consultancy; Genzyme: Consultancy.

Abstract Abstract 1772 Background: B-Chronic Lymphocytic Leukemia (CLL) is notorious for its complex and heterogeneous clinical behavior pattern in a given patient. Panels of prognostic predictors in CLL can be complex but in general have been found to be useful in counseling a given patient. The current most powerful prognostic parameters for disease progression potential are related to leukemic B cell genetic features. Using fluorescent in situ hybridization (FISH) panels, we and others have found a hierarchy of clinical outcome with 17p- and 11q- most aggressive. The limitation of the FISH panel is that while it detects the most common recurring defects, it does not evaluate the global genomic status of the leukemia in terms of less common genetic changes or in terms of genetic complexity. Array comparative genomic hybridization (CGH) has shown that CLL B cells frequently do exhibit greater genetic complexity than is detected by the FISH panel. To further assess the relationship of genomic defects in CLL to disease outcome, we used CGH for genetic analysis of the leukemic cells at or close to the diagnosis in two cohorts of CLL patients who had either stable or progressive disease. Methods: We obtained leukemic B cells from patients retrospectively identified as “progressive” (n=47) or “stable” (n=21) CLL patients. The CLL patients had given informed consent to have tissue stored and had robust long term clinical outcome available on our Mayo Clinic CLL Tissue Bank and clinical database. Patients were selected based on whether they were stable as defined by no need for therapy after 5 years from diagnosis, or progressive as defined by requiring therapy within 2 years of the actual CLL diagnosis. All progressive patients had leukemic blood cells sampled within 12 months of diagnosis and prior to treatment. All stable patients had blood cells sampled within 24 months of diagnosis. DNA was extracted and then used for global genomic defect detection using a custom high density 2 × 400k oligonucleotide CGH chip (Agilent). Copy number abnormalities (CNA) and copy number variants (CNV) were assessed. CNA were studied for relationship to clinical outcome for the two cohorts of CLL patients.and CNV were excluded from further analysis. Results: The median age was 61 (range 42–81) years in progressive and 67 (range 42–80) in stable patients. Males comprised 77% of the progressive and 57% of the stable patients. CGH was successful in all 68 patients. FISH and CGH were discordant in 8 cases, all with <20% abnormal cells by FISH. Total number of CNA (excluding known benign variants and immunoglobulin rearrangements) was 816, with 597 in progressive (mean 12.7) and 219 in stable patients (mean 10.4). Two stable patients had a normal CGH result. Progressive patients included 15 of 16 trisomy 12, all 4 deletion 17p, and 10 of 11 deletion 11q abnormalities by CGH. Deletion 13q was observed in 39 (83%) progressive and 15 (71%) stable patients, with Rb1 deletion in 11 (23%) progressive and 4 (19%) stable patients. Remarkably, trisomy 18 (2 patients), trisomy 19 (4 patients), and trisomy 21 (1of 2 patients) were observed by CGH in association with trisomy 12. Other recurrent CNA were del(3)(q22q22) in 2 progressive and 1 stable patient and dup(8)(q24.3q24.3) plus dup(11)(p15.4p15.5) in 3 progressive patients; one progressive patient had the dup(8q) without dup (11p). None of the dup(8q) or dup(11p) patients exhibited 11q-, 17p- or +12 defects. Cytogenetic complexity (measured by number of CNA) was greater in progressive than stable patients (p=0.03; odds ratio 1.196), although there was substantial overlap between the groups (range 6–28 CNA in progressive and 5–18 in stable patients). The number of CNA tended to be higher in the presence of 11q- (8–16 CNA) and trisomy 12 (7–21 CNA), and especially 17p- (13–28 CNA). Conclusions: CGH and FISH were comparable for the FISH probes tested. CGH revealed that deletion breakpoints were highly variable around the regions targeted by the FISH probes. That trisomy 18, 19, and 21 were confined to the trisomy 12 patients suggests a different mechanism of genetic instability underlying trisomy 12 in CLL. Trisomy 12, deletion 11q and deleton 17p were confined almost exclusively to patients with progressive disease. Likewise, 3 other recurrent CNA (3q-, 8p dup and 11p dup) were over-represented in progressive disease, may comprise high risk genetic defects, and offer new targets for understanding genetic pathways in CLL. Disclosures: Kay: Biothera: Research Funding; Clegene: Research Funding; Cephalon: Research Funding; Genentech: Research Funding; Glaxo Smith Kline: Research Funding; Hospira: Research Funding; Novartis: Research Funding; Supergen: Research Funding; Calistoga: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Emergent Biosolutions (Formerly Trubion): Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 995 PCNSL is an aggressive primary brain tumor characterized by a perivascular accumulation of malignant lymphoid cells. Most PCNSLs (90%) are diffuse large B-cell lymphoma (DLBCL); the remaining 10% are poorly characterized low-grade, Burkitt, and T-cell lymphomas. Since most patients are biopsed, genomic analyses are challenging. To determine the pattern of genetic alterations in PCNSL, frozen samples and formalin fixed embedded paraffin sections from 17 EBV and HIV negative and immunocompetent patients were studied by array-based comparative genomic hybridization (aCGH) using Sureprint G3 (1 million probes) array (Agilent). B-cell differentiation status was characterized by immunostains for CD10, MUM-1, and BCL-6. All cases were characterized by complex genomic aberrations with a median of 21 copy-number abnormalities (CNA) per patient (range 10–49). Overall, 22 minimal deleted regions (MDR) and 14 minimal amplified regions (MAR) were found in more than 20% of patients. Focal deletion affecting CDKN2A (9p21) was the most common CNA, found in 14 of 17 cases (82%); biallelic in six cases. Losses of 6q were observed in 71% of cases. Deletions of 6q23.3 (TNFAIP3) and 6q21 (PRDM1) were found in 59% (10/17) and 47% (8/17) of cases, respectively. Other common CNA were deletions of 6p21 (9/17; 53%), 3p21.1 (5/17; 29%), 3q26.32 (5/17; 29%), 8q12.1 (5/17; 29%), 10p14-p15.3 (5/17; 29%), 12q24.31 (5/17; 29%) and gains of 12q21-q24 (9/17; 53%), 7q21-q31 (6/17; 35%), 19q13 (6/17; 35%), 3q27.3 (5/17; 29%) and 11q24.1-q25 (5/17; 29%). Interestingly, several CNA were unique to PCNSL and were not identified in related entities as the typical DLBCL. Besides in CDKN2A, homozygous deletions were recurrently found in TMEM30A and TOX, the latter a regulator of T-cell development. Another 64 genes, including B2M, CD58, ETV6, LAPTM, MHC class II genes, PRDM1, TNFRSF10A and TNFRSF10B were also homozygously deleted. CD58, which encodes for a member of the immunoglobulin family and regulates the adhesion and activation of T lymphocytes, was also recurrently affected by focal monoallelic losses from 15 nucleotides to 1–2 exons, affecting the Ig-like C2-type domain as was confirmed by DNA resequencing. Focal heterozygous deletions affect TBL1XR1, a negative regulator of the NF-kB and Wnt pathways, and the putative tumor suppressor BCL7A in 29% of cases each. Pathway analysis done including the most commonly affected genes (Ingenuity Pathway Analysis) highlights the importance of networks associated with apoptosis and lymphocyte differentiation and proliferation, especially of T lymphocytes. In summary, this study showed evidence for a highly complex genome and identified target genes of potential relevance in the pathogenesis of PCNSL. The genomic profile described here is unique to PCNSL, thus helping to genetically differentiate this entity from the typical DLBCL and other related lymphomas. Disclosures: Fonseca: Genzyme: Consultancy; Medtronic: Consultancy; BMS: Consultancy; AMGEN: Consultancy; Otsuka: Consultancy; Celgene: Consultancy, Research Funding; Intellikine: Consultancy; Cylene: Research Funding; Onyx: Research Funding; FISH probes prognostication in myeloma: Patents & Royalties.

Abstract Abstract 3872 Background: Mesenchymal stromal cells are one of the components in the CLL microenvironment known to support leukemic cells survival and growth. Crosstalk between CLL B-cells and marrow-derived mesenchymal stromal cells (MSC) can modulate the activation of both cell types. Indeed we have shown that soluble factors secreted from CLL B cells can activate MSC with increased production of angiogenic cytokines (Blood. 2010. 116:2984). We hypothesize that MSC derived from CLL patients are modified by their interaction with leukemic cells in their gene expression profiles (GEP) and cytokine production (CP) capabilities. Given this, intrinsic differences should be present amongst MSC derived from CLL patients versus normal subjects. Method: MSC collected from CLL patients with Rai stage 1–4 before any therapy or who have not had therapies for at least 2 years as well as normal MSC from healthy controls were cultured and expanded one time in vitro. Subsequently, MSC after one in vitro passage were sorted with CD45 negative selection to eliminate any contaminating non-stromal cells. Approximately 100,000 to 300,000 cells were then stored at −70C and used for RNA purification. Nine CLL MSC and five normal MSC cell samples had RNA purified from each sample and then the RNA preparations were used for comparative analysis of GEP using affymetrix U133A plus B chip. Data were transformed using two different methods: MAS5 or Plier and only probes that were present in at least 50% of cases were included in the analysis. We have recently observed that MSC derived from bone marrow of CLL patients promotes Th17 cell differentiation (Blood. 2010. 116: Abstract 2414). Since IL-17 is the signature cytokine produced by TH17 cells, we decided to test if IL-17 could alter the cytokine production from CLL and normal MSC. Cytokine production from both CLL MSC and normal MSC as secreted into culture medium (CM) spontaneously or with recombinant IL-17 during a 72h-culture were tested using a commercial cytokine array (R&D). Result: Both MAS5 and Plier method of transformation yielded similar results for GEPs of the MSC. The preliminary data from these analyses showed that multiple transcription factors including PITX2, HOXB7, SIM1, ZFY, EMX2, HOXB3, HOXB4, and IRF6 were significantly up-regulated (more than 2 fold) in CLL MSC compared to normal MSC. In contrast, the genes up-regulated in normal MSC compared to CLL MSC include genes involved in the immune response (IGH, IGK, IGL, BST2, PPBP, RGS1, etc.), antigen processing and presentation (HLA genes, IFI30, etc.) and inflammatory response (CD163, LYZ, TNFAIP6, etc.). We are currently in the process of performing further analysis using additional MSC samples to validate these findings with further GEP assays and also by validating the dysregulated genes detected by our GEP studies using real-time PCR analysis. We performed the analysis of multiple cytokines produced by CLL (n=16) and normal MSC (n=12) with and without stimulation with recombinant IL-17 (8 ng/ml) over a 72 hour culture period. Without stimulation, there is approximately two-fold increase of MCP-1 production in CLL MSC compared to normal MSC (CLL vs. normal, 164.2 ± 26.1 vs. 82.7 ± 15.4 pg/ml, p = 0.02). After IL-17 stimulation, an approximately four-fold increase of MCP-1 production (CLL vs. normal, 1200.1 ± 258.6 vs. 334.1 ± 68.2 pg/ml, p = 0.005), three-fold increase of IL-8 production (CLL vs. normal, 2073.1 ± 504.1 vs. 708.7 ± 218.9 pg/ml, p = 0.02), two-fold increase of IL-6 production (CLL vs. normal, 1400.6 ± 214.0 vs. 705.6 ± 98.2 pg/ml, p = 0.008) were detected in CLL MSC compared to normal MSC. Conclusion: We have detected the presence of intrinsic mRNA expression differences for both transcription factors and immune response genes between CLL and normal MSC. The expression differences of these genes could be facilitating the differential cytokine responses we observed in CLL MSC compared to normal MSC. Given these findings it is possible that the dynamic interactions between the CLL leukemic cell and MSC influence the transcription profiles and cytokine production from MSC. This is of biologic and clinical interest in that the GEP dysregulation in CLL MSC may be a primary mechanism for the differential cytokine production seen in CLL MSC. This outcome in turn has the potential to modify the immune and non-immune environment in favor of tumor proliferation and progression. Disclosures: Kay: Biothera: Research Funding; Clegene: Research Funding; Cephalon: Research Funding; Genentech: Research Funding; Glaxo Smith Kline: Research Funding; Hospira: Research Funding; Novartis: Research Funding; Supergen: Research Funding; Calistoga: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Emergent Biosolutions (Formerly Trubion): Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 229 Introduction: Optimal rational combination targets with Cytarabine (AraC) have not been identified. After the development of a high-throughput, small-interfering RNA (siRNA) platform for suspension cells, we performed the first RNAi sensitizer screen of the human kinome with AraC in myeloid cell lines. Herein we present the final data of this first siRNA-sensitizer screen in leukemias in combination with AraC. Our results include full validation of the selected targets as well as ex vivo data assessing the first in class clinically tested WEE1 inhibitor MK1775 with AraC providing a pre-clinical rationale for using the combination of AraC with WEE1 inhibitors in leukemias. RNAi Screens and siRNA Validation: In siRNA sensitizer screens, we silenced 572 kinases of the human kinome in combination with AraC. Few kinases strongly sensitized to AraC and the targets CHEK1 and the WEE1 related kinase PKMYT1 emerged as the most potent genes whose silencing sensitized leukemia cells to AraC. In secondary siRNA validation experiments, silencing of WEE1 kinase was found to be more potent than silencing of CHEK1, PKMYT1 or other kinases (i.e. ATR, BRCA, AURKB) in combination with AraC treatment. Importantly, the sensitizing activity observed with WEE1 inhibition was universal across all AML cell lines examined, whereas it was not for CHEK1 inhibition. siRNA assays were robust, exhibiting little (<10%) non-specific toxicity and siRNA silencing was specific for individual genes (i.e. WEE1 or CHEK1) as demonstrated by selective reduction of mRNA and protein level for the respective genes; confirming the validity of the siRNA assay. Pharmacological WEE1 Inhibitor Experiments In vitro and Ex vivo: In vitro treatment of eight AML, ALL and CML cell lines with commercial and the first clinically developed WEE1 kinase inhibitor MK1775, demonstrated strong sensitization to AraC up to 97-fold in individual cell lines. Ex vivo, MK1775 substantially reduced viability in 13 of 14 AML, MDS and CML patient samples compared to AraC alone. The optimal dose to achieve maximum sensitization was observed for AraC between ∼10–120 nM and for MK1775 between 200–400 nM. Synergy at these optimal concentrations was confirmed in all ex vivo samples tested for which sufficient data for analysis with CalcuSyn Software was available (n=7): with Combination Indices (CI) ranging from 0.21–0.45. At higher AraC and MK1775 concentrations antagonism was observed both ex vivo and in vitro. Thus, we have also established optimal suggested concentration dose ranges for the currently ongoing design of a clinical trial. Clinically relevant, WEE1 is expressed in primary AML, ALL and advanced CML specimens with a trend towards higher expression in relapsed samples. However, there was no direct correlation with WEE1 mRNA expression or TP53 status. Our initial in vitro experiments further suggest that inhibition of WEE1 with MK1775 in combination with AraC at optimal concentrations was associated with higher degree of caspase 3 cleavage, DNA damage induction as measured by gamma-H2AX, and greatest inhibition of proliferation. Thereby establishing a context of optimal drug concentration ranges with molecular correlates and anti-leukemic activity directly informing design of the clinical trial and correlative biomarkers. In conclusion, data from this first siRNA sensitizer screen of the kinome in leukemias identifies inhibition of WEE1 kinase as the most potent sensitizing target to AraC. Inhibiting WEE1 with pharmacological inhibitors in combination with AraC is a rational treatment strategy for myeloid and lymphoid leukemias that warrants clinical investigation. Furthermore, our RNAi loss-of-function genomics approach has high potential to rapidly identify and validate crucial genes whose inhibition modulate the response to cytotoxic agents. Establishment of the siRNA sensitizer platform allows accelerating the development of new rational combinations for leukemia therapy. Disclosures: Off Label Use: AraC in combination with the experimental Wee1 inhibitor MK1775. Mesa:NS Pharma: Research Funding; Astra Zeneca: Research Funding; SBio: Research Funding; Lilly: Research Funding; Incyte: Research Funding; Celgene: Research Funding. Demuth:Merck and CO: Employment.

Abstract Primary central nervous system lymphoma (PCNSL) is an aggressive and incurable variant of non-Hodgkin lymphoma (NHL) that is confined to the central nervous system. Most PCNSL (90%) are part of the immune-privileged site-associated diffuse large B-cell lymphomas (DLBCL). Unlike nodal DLBCL, only a limited number of genetic studies have been performed in PCNSL, partly due to lack of available tissue specimens. Because of the fragmented knowledge of the genomic basis, it is still a matter of debate whether they differ from systemic DLBCL with respect to their molecular features and pathogenesis and also if there is a CNS specific signature. We performed a comprehensive genomic study in a cohort of 22 immunocompetent (HIV- and EBV-) PCNSL. DNA was extracted from FFPE tissues (N=15) and frozen tissue (N=7). Samples were analyzed using a combination of aCGH (N=18), exome sequencing (N=10), mate-pair genome sequencing (N=2) and targeted sequencing (N=8). We found a complex karyotype with a median of 21 copy-number abnormalities (range 10–47), 6 structural abnormalities, 6 frameshift indels and 67 nonsynonymous mutations. By integrating mutation and copy number data we found a group of genes recurrently mutated and/or deleted in PNCSL. Remarkable findings were the high prevalence of MYD88 activating mutations (L265P/M232T/V217F), found in 69% of cases and the biallelic loss of CDKN2A (60%). A subset of recurrent abnormalities was exclusively found in PCNSL, and not being previously identified in systemic DLBCL. Thus, 11% of PCNSL have biallelic inactivation of TOX (a regulator of T-cell development) and PRKCD (protein kinase C delta), while another 17% of cases show focal monoallelic deletions/mutations in these genes. Finally, recurrent mutations have been identified in ATM, which have not been found in nodal DLBCL. Several other genes affected have been previously identified in nodal DLBCL, such as biallelic loss of TNFAIP3 (16%), PRDM1 (16%), GNA13, TMEM30A, B2M and CD58 (11% each), activating mutations of CD79B (28%) and CARD11 (19%) and translocations of BCL6 (22%). Components of the NF-kB pathways were altered in >90% of PNCSL. Pathway analysis also showed an enrichment of networks associated with immune response, proliferation, regulation of apoptosis and lymphocyte differentiation and activation. Finally, we searched for associations between genetic alterations and clinical outcome. We showed that deletions of 6q21 (PRDM1) and 6q23 (TNFAIP3) were both associated with shorter overall survival (p=0.007 and p=0.03, respectively). In summary, we report a genomic background in PCNSL similar to post-GC DLBCL but reinforcing the existence of a subset of abnormalities specific to PCNSL, suggesting their potential relevance in the disease pathogenesis. Additionally, the results obtained from FFPE samples are encouraging and larger archival tissue collections can now be analyzed in order to complement the still fragmented knowledge we have of the genetic basis of the disease. Disclosures: Stewart: Onyx: Consultancy, Research Funding; Millenium: Honoraria, Research Funding; Celgene: Honoraria; BMS: Honoraria. Fonseca:Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy, Research Funding; Binding Site: Consultancy; Millennium: Consultancy; AMGEN: Consultancy; Cylene: Research Funding; Prognostication of MM based on genetic categorization of the disease: Patents & Royalties.

Abstract Abstract 1570 B-cell non-Hodgkin lymphoma encompasses a heterogeneous group of B-lymphocyte-derived malignancies that are characterized by chromosomal translocations involving the immunoglobulin (IG) gene loci and specific histological subtypes of disease are associated with a different spectrum of IG translocations. Marginal zone derived B cell lymphomas encompass three distinct entities: extranodal marginal zone B lymphoma (MZL) of mucosa associated lymphoid tissue (MALT), nodal MZL (NMZL), and splenic MZL (SMZL). MALT lymphoma is genetically unique and four mutually exclusive chromosomal translocations have been identified in this disease thus far. However, the known translocations are only present in a subset of cases suggesting that additional uncharacterized translocations or other genetic events may exist that contribute to disease development. In previous studies we characterized the novel t(X;14)(p11.4;q32) translocation in a patient with MALT lymphoma and found that GPR34, an orphan G-protein coupled receptor (GPCR), was highly expressed due to its juxtaposition to the IGHSA2 switch region. We then measured GPR34 mRNA expression in tissue biopsies from a panel of MALT, NMZL, SMZL, lymphoplasmacytic (LPL), diffuse large B cell (DLBCL), follicular (FL), and mantle cell (MCL) lymphomas. Expression of GPR34 was detected in all tissues examined, but was significantly increased in MALT (37 fold), LPL (23 fold), NMZL (18 fold), and SMZL (21 fold) compared to normal CD19+ B cells. GPR34 mRNA expression was also analyzed by gene expression profiling (GEP) of a panel of lymphomas or control lymphoid tissue and we confirmed elevated expression of GPR34 in the t(X;14) case and detected elevated GPR34 mRNA expression in MALT, LPL, NMZL, SMZL, and ABC DLBCL. When we grouped specimens by high and low expression of GPR34, a clear molecular subtype of SMZL could be identified and suggests that GPR34 high expressing tumors have a unique GEP. To confirm the qPCR and GEP analysis of GPR34 expression, we analyzed surface expression of GPR34 by flow cytometry of normal and malignant tissues and found that expression of GPR34 was detected on all MALT and SMZL B cells with an average DMFI of 2.08 (DMFI range 1.26–3.18, n=12) and on the JeKo-1 lymphoma B cell line (DMFI= 4.75). Analysis of CD19+ cells from normal controls (n=3) revealed a low level of GPR34 on (average DMFI =1.12). Little is known about the function of GPR34 and to further characterize the impact of GPR34 overexpression on cell signaling, OCI-LY19 lymphoma B cells and HeLa cells were transduced with GPR34 or a vector control. To determine if MAPK activity, a pathway regulated by GPCRs, was upregulated, the phosphorylation status of ERK1/2 in GPR34 or control cells was analyzed and we found that ERK1/2 was constitutively phosphorylated at significantly higher levels in GRP34 expressing cells. To further explore which signaling pathways were affected by GPR34 overexpression, GPR34 or vector control cells were transfected with an AP-1, CRE, NF-kB, E2F, SRE, NFAT, or ISRE- luciferase reporter plasmid and GPR34 expressing cells had significantly increased luciferase activity driven by AP-1 (5.35-fold), CRE (4.7-fold), NF-kB (2.6-fold), and E2F (2.1) when compared to vector control cells. To determine the biologic impact of GRP34 overexpression, the proliferation rates of vector control and GPR34 cells were compared and we found that proliferation of GPR34 WT cells was significantly higher than that seen in the control. We next tested the effect of the MEK inhibitor on proliferation and saw a dose dependent decrease in proliferation of GPR34 expressing cells. We then tested the ability of GPR34 cells to generate colony formation in a soft-agar colony formation assay. After 3 weeks of culture, the GPR34 cells had formed significantly more colonies than the vector control suggesting that overexpression of GPR34 can result in increased anchorage-independent cell growth. Taken together, our results identify a novel translocation in MALT lymphoma, emphasize a novel role for GPR34 in regulation of gene expression and tumor cell growth, and suggest that MEK inhibitors may be useful in a subset of translocation–harboring or GRP34 high-expressing tumors. Disclosures: No relevant conflicts of interest to declare.