Braggio, Esteban

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.

Abstract Introduction: Partial loss of chromosome arm 1p frequently occurs in multiple myeloma (MM), and is associated with a poor prognosis. Several minimally altered regions on 1p have been identified, including 1p32.3, 1p31.3, 1p22.1-1p21.3, and 1p12. Cytoband 1p12 was deleted in 19% of cases, and this deletion was associated with shorter overall survival (OS) in univariate analysis. The target of homozygous deletion 1p12 was FAM46C. In addition, mutations of FAM46C were identified in 3.4% to 13% of primary MM tumors and 25% of 16 human myeloma cell lines (HMCLs), implying its potential pathogenic relevance. In other work we have suggested that FAM46C mutation is a progression event and have shown that it is rarely seen in newly diagnosed del17 patients, inferring some overlap in function. However, there is no published functional annotation of FAM46C and its role in MM remains unknown. In the present study, we aimed to identify the biological role of FAM46C in myeloma cells. Materials/Method: The expression of FAM46C in HMCLs was analyzed by western blot. Lentiviral constructs expressing wild type and mutated FAM46C were generated and transduced into HMCLs, followed by cell viability assay and cell cycle analysis. Cells were harvested and processed to measure gene expression and cell signaling changes after introduction of FAM46C by mRNAseq, pathway analysis and immunoblotting assay. Results: The expression of FAM46C protein is generally low in most HMCLs. Introduction of wild type FAM46C in HMCLs induced a substantial cell growth inhibition and apoptosis, especially in two HMCLs including MM1.S and KMS11. Cell viability of KMS11 and MM1.S was reduced by 50% to 80% at day 6 after introduction of FAM46C, compared to 0-30% growth retardation detected in HMCLs and non-myeloma cell lines that do not carry FAM46C deletion. We identified 88 genes whose mRNA expression was significantly altered after enforced expression of FAM46C in MM1.S cells. Pathway analysis revealed that FAM46C-regulated genes are enriched in the canonical pathways associated with unfolded protein response, cell cycle control and DNA damage repair. Critical MM genes that are downregulated by FAM46C expression include IRF4 and MYC, which are also downstream targets of immunomodulatory drugs (IMiDs). Consistently, some HMCLs such as KMS11 and OPM2 show an enhanced sensitivity to lenalidomide after introduction of FAM46C. Next, lentiviral constructs expressing various FAM46C mutants were generated in order to understand the consequence of FAM46C mutation. The mutant constructs mimic mutations identified in MM patients or HMCLs. Those mutants and wild type FAM46C were transduced and tested together in MM1.S cells. We found that three published misssense mutations, one frame-shift mutation and deletion of the sequence between aa172 and aa186 of FAM46C (which has been found in previous studies as a hot spot of mutation) all abolished FAM46C-mediated anti-myeloma activity, thus would be expected to confer a MM cell survival advantage. Conclusion: Our data demonstrated that enforced FAM46C expression in myeloma cells induced myeloma growth inhibition and apoptosis. Mutations in FAM46C and TP53 in newly diagnosed patients seem mutually exclusive but not in relapsed patients from our patients sequencing studies, suggesting it may associate with disease progression. Together, these studies suggest that FAM46C may function as a tumor suppressor in myeloma. We also found that published mutations of FAM46C confer a survival advantage to MM cells, and that FAM46C overexpression downregulates IRF4 and MYC and is thus associated with loss of myeloma cell survival. Disclosures Stewart: Novartis: Consultancy; Oncospire Inc.: Equity Ownership; Celgene: Consultancy; BMS: Membership on an entity's Board of Directors or advisory committees.

Abstract Background:Recurrent mutations in ATM, JAK1/3 and STAT5B genes have been identified in T-cell prolymphocytic leukemia (T-PLL), a mature T cell leukemia with poor survival. However, much remains to be understood regarding the dysregulated pathways involved in the pathogenesis of this aggressive disease. Here, we integrated the analyses of whole exome sequencing (WES) and transcriptomes of a cohort of 12 T-PLL samples to gain further insights into molecular mechanisms of this malignancy. Methods: Leukemic cells were isolated from peripheral blood or bone marrow samples of T-PLL patients. Tumor DNA and RNA, and germline DNA were extracted from purified leukemic T cells and bone marrow derived stromal cells, respectively. WES (n=12) and transcriptome analysis (n=10) were performed and data analyzed with published standard methods (Robinson et al. 2010 and DePristo et al. 2011) Results: 7 paired tumor and germline DNA and 5 tumor-only DNA samples were used for WES analysis. Mutations in ATM and TET2 were detected in 4 (33%) and 1 (8%) patients, respectively. JAK3 (p.M511I, p.Q501H and p.Q503H) or STAT5B (2 p.T628S and 1 p.N642H) mutations each occurred in 3 (25%) cases and were mutually exclusive, consistent with prior reports. Importantly, we found several novel mutations in genes with regulatory roles in the NOTCH signaling pathway. Specifically, 2 somatic mutations p.A3V and p.A3S in NOTCH2 and 2 other mutations (p.S244L and p.A1414V) in NOTCH4 were identified in 4 (33%) patients. One mutation was in the EGF- like and another one in the NODP domain critical for NOTCH-mediated cellular differentiation. Two (16.7%) novel missense mutations (p.G174D and p.V836I) were found in MAML2. Three missense mutations (2 p.S583N and 1 p.R190H) occurred in MAML1. Both MAML2 and MAML1 are essential cofactors of the NOTCH signaling pathway. In addition, a somatic mutation in the NOTCH signal regulator DTX2 (p.G268D) was detected. Altogether 7 (58.3%) patients harbored mutations in genes with a regulatory role in the NOTCH pathway. Among the epigenetic modifiers, we found deletions and point mutations in KDM6B and KDM6A in 4 (30%) patients including 2 codon deletions in KDM6B (p.X751Val) and 1 missense mutation each in KDM6B (p.R1016Q) and KDM6A (p.V510G). KDM6A and KDM6B are histone H3 lysine 27 demethylases known to be involved in regulation of DNA repair and play an important role in embryonic differentiation. Transcriptome analyses of 10 T-PLL cases versus normal CD3+ T cells from 5 healthy donors revealed 706 up-regulated and 655 down-regulated genes. Consistent with prior data, TCL1A and TCL1B were significantly overexpressed (23.7 and 13.1 fold, respectively). Using Ingenuity Pathway Analysis, we found PTEN Signaling, glutamate receptor, and axonal guidance signaling to be among the top 3 upregulated pathways. The top upstream regulators implicated for the up-regulated signals were FGF, Wnt/β-catenin and TNF. The top 3 down-regulated pathways were granulocyte adhesion and diapedesis, IL-17A in psoriasis and IL-10 signaling. The top regulators for the down-regulated pathways were LPS, TNF and IFNg. Wnt/β-catenin and Human embryonic stem cell pluripotency signaling were among the top 20 up-regulated pathways. Many genes involved in the regulation of Wnt signal pathway were included in the above pathways, including Wnt ligands (Wnt9A, Wnt4), transmembrane receptors (CDH1, LRP5, FZD6, FZD7, SMO), cytoplasmic factor (AXIN2), and nuclear factors (MYC, SOX12, SOX8, SOX18, CCND1). Summary: Our study identified recurrent mutations in the NOTCH signaling pathway as well as dysregulated embryonic developmental pathway, e.g. Wnt/NOTCH as newly implicated molecular mechanisms in T-PLL pathogenesis for further functional studies. Additionally, novel (KDM6A and KDM6B) and known mutations (ATM, TET2) in chromatin regulatory genes underscore the importance of epigenetic dysregulation in the tumorigenesis of T-PLL. Disclosures Parikh: Pharmacyclics: Honoraria, Research Funding. Mustjoki:Ariad: Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Ding:Merck: Research Funding.

Abstract Abstract 3605 CLL is a malignant B-cell disorder characterized by the accumulation of small B lymphocytes with a mature appearance in blood, marrow and lymph nodes. Despite effective treatment options, all patients with CLL will eventually relapse after therapy. This could be due in part to the presence of subclones of the CLL cell population that harbor genetic abnormalities, which confer resistance to treatment. The aims of this study were to investigate the clonal evolution in longitudinal samples of CLL patients and to identify genetic alterations associated with disease progression and resistance to therapy. Sequential analyses were performed in 51 samples from 23 patients who were included in a previously reported clinical trial of pentostatin, cyclophosphamide and rituximab (PCR) given every 3 weeks for 6 cycles in previously untreated CLL (Blood 109:2007). In all cases the first sample analyzed was prior to therapy. In 5 of 23 patients, three time points were analyzed: >6 months prior to entry onto PCR trial (time point A), just before starting with the PCR regimen (time point B), and the time of relapse after PCR trial (time point C). Seven patients were analyzed at time points A and B; 9 at time points B and C and 2 at time points A and C. The median time between points A and B was 17.5 months (range 8–48 months) and between points B and C was 20.5 months (7–60 m). All samples were examined by array-based comparative genomic hybridization (aCGH) using the Agilent Sureprint G3 (1 million probe) array. aCGH findings were confirmed by interphase FISH using probes for D13S319 (MIR16–1/MIR15A), RB1, MDM2, CEP12, CEP6, MYB, TP53, NFKBIA, PERP and FGFR1 loci. Overall, we observed a small increase in the number of copy-number abnormalities (CNA) with disease progression. Twenty-two of the 23 patients with paired samples harbored at least one CNA that persisted in all samples, indicating clonal relationship between the sequential samples. In 15 of the 23 patients the tumor clone was stable and no CNA differences between time points were identified. Conversely, genomic evolution was found in 8 patients. In 3 cases the genetic differences were observed pre treatment (between time points A and B) and in the other 5 cases, the observed changes were found after therapy (between time points A and C or between B and C). One remarkable case with genome evolution exhibited two subclones sharing trisomies 12 and 19, but with several unique CNA confined to each subclone. The first subclone was characterized by deletions of 6q, RB1, MIR16-1/MIR15A and 3 other losses, while the second subclone showed homozygous deletion of MIR16–1/MIR15A and 5 other monoallelic deletions. The first subclone was predominant at time points A and B (60–70% of cells), but was present in only 10–20% of cells at time point C as confirmed by FISH. Conversely, the second subclone was observed in ~20% of cells at time points A and B and became predominant after therapy, found in ~80% of cells at time point C. Another case was characterized by deletion 11q32 (including ATM and others) as the sole abnormality at time point B. Significant genomic complexity was observed at time point C, including deletions of 11q32, 9p21 (CDKN2A), 9q12-q33, 14q13.2 (NFKBIA) and 17p (TP53), and gains of 2p16 (REL) and 9q34. Interestingly, the deletion 11q32 from both time points arose independently at each time point, as they exhibited different chromosomal breakpoints and copy number variants. Moreover, the other CNA found at relapse were not identified at diagnosis (confirmed by aCGH and FISH). For evolution of specific CNA, trisomy 12 was found in 5 cases at the first sample analyzed and was stable with no changes between time points. The frequency of deletions 13q14.3 (MIR16-1/MIR15A) and 17p increased at the later time points. Conversely, –6q decreased in frequency across time points (3 cases in time points A–B and 1 case in time point C). In summary, at least 35% of CLL patients exhibited clonal evolution and at least 9% showed evidence of multiple subclones. This subgroup of CLL patients provides an exceptional framework for comprehensive analysis of genome evolution during disease progression before and after therapy. Our observations also support the hypothesis of a common CLL progenitor cell can give rise to clonally related, but genetically evolving subpopulations of tumor cells. Finally, this study may bring novel information regarding the drug resistance pathways utilized by CLL B cell clones post therapy. Disclosures: Kipps: GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Genzyme: Research Funding; Memgen: Research Funding; Igenica: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi Aventis: Research Funding; Abbott Laboratories: Research Funding. 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.