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

Abstract Background: The proteasome inhibitor Bortezomib (BTZ) is an efficient treatment option for both, newly diagnosed and relapsed/refractory multiple myeloma (MM). Despite the effectiveness, most patients eventually acquire drug resistance for reasons not fully understood Materials and methods: To better understand BTZ resistance mechanism we used a CRISPR library (GeCKO V2) targeting 19052 human genes, trying to identify genes responsible for BTZ resistance. CRISPR sgRNAs targeting the ERN1-XBP1 pathway were used as positive controls. We first infected RPMI 8226 myeloma cell line expressing Cas9 with the CRISPR library packaged into lenti-vectors and selected for resistance to BTZ. Surviving cells were subjected to next generation sequencing. Based on the initial screen results we constructed a second CRISPR sgRNA library including 31 genes, each gene targeted with four sgRNAs. After the second round screening and subsequent sequencing, we selected the top 20 genes for individual validation. Results: Proteasome regulatory gene PSMC6 was identified as the only reproducible gene conferring BTZ resistance. Interestingly, the same gene was independently found by a second group using a CRISPR approach (Sheffer M et al. ASH Abstract 273, 2014). Resistance was reproducible using a PSMC6 knockout by three individual CRISPR sgRNAs targeting exonic regions and one pair of SgRNA targeting intron region flanking exon for the deletion of exon one. PSMC6 knockout was verified by PCR and Sanger sequencing. Sensitivity to BTZ was rescued by over expression of PSMC6 cDNA in RPMI 8226 cells harboring a deletion of PSMC6 exon 1. MM cells lacking PSMC6 also developed resistance against Carfilzomib. Resistance was reproduced on a second MM cell line, KMS11. We did not see any significant difference of toxicity in PSMC6 deleted cells for other chemicals tested (tunicamycin, staurosporine, dexamethasone and melphalan). We demonstrated that the sensitivity of chymotrypsin-like activity of proteasome against BTZ was significantly reduced in cells lacking PSMC6. Consequently, MM cells without the PSMC6 gene were relatively resistant to apoptosis induced by BTZ, which was verified by Western blot for caspase 8 degradation and luminescent assay for caspase 3/7 activities. Clinically we could not correlate the PSMC6 expression level with the outcome of BTZ treatment in BTZ naive patients using publically available gene expression data. We initially used CRISPR sgRNAs targeting ER stress pathway (ERN1 and XBP1) as a positive control. However we could not derive any resistant cells from the experiment. We also could not identify any sgRNAs targeting the ERN1-XBP1 pathway from our whole exome screen and next generation sequencing. Since this contradicts published data, we decided to knockout ERN1 and XBP1 genes individually. Clones of cells with successful knockout of ERN1 in three cell lines (RPMI 8226, KMS11 and JJN3) and XBP1 in two cell lines (RPMI 8226 and KMS11) were tested for response to BTZ and Carfilzomib , however we did not find any drug response difference between the knockout and parent cells. We also found that the ERN1-XBP1 knockout cells did not show difference in response to ERN1 specific inhibitors (4u8C and STF-038010) and ER stress inducers (tunicamycin and thapsigargin) compared to parental cells. Conclusions: Human multiple myeloma cells lacking the PSMC6 gene develop significant resistance to apoptosis induced by BTZ. We have however not found a correlation of PSMC6 expression levels with outcome to BTZ treatment in BTZ naïve patients. We are therefore currently investigating the PSMC6 mutation rate in relapsed MM patients after proteasome treatment. In contrast to previous reports showing that progenitor MM cells lacing XBP-1 or ERN-1 invoked BTZ resistance, we were not able to demonstrate a change in sensitivity after full CRISPR knock out of either ERN1 or XBP1. It has long been believed that ERN1-XBP1 pathway plays an important role for MM treatment, leading to the development of ERN1 specific inhibitors. However, we demonstrated that the toxicity of two ERN1-specific inhibitors appears independent of the ERN1-XBP1 pathway. We also demonstrated that the toxicity of two important ER stress inducers, tunicamycin and thapsigargin, is independent of the ERN1-XBP1 pathway. Disclosures Stewart: Celgene: Consultancy; Oncospire Inc.: Equity Ownership; BMS: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy.

Abstract Background: The current standard of care for eligible newly diagnosed multiple myeloma (MM) patients is induction therapy with novel agents followed by high dose chemotherapy and autologous stem cell transplant (ASCT). The International Myeloma Working Group proposed the Revised International Staging System (R-ISS) based on the presence of adverse chromosomal abnormalities (CA) detected by FISH (t(4;14), t(14;16) or del17p), in combination with ISS and LDH at diagnosis. However, there are a limited number of studies that have validated this risk model in the transplant and novel agents setting. Aims: To determine whether R-ISS is an appropriate risk-model for estimating overall survival (OS) and progression free survival (PFS) for transplant-eligible MM patients. Patients and Methods: We retrospectively studied a cohort of 519 MM patients who received novel drugs in the induction and subsequently underwent ASCT at Mayo Clinic Arizona from 2005 to 2014. In all, 95 patients met the inclusion criteria: comprising complete data at diagnosis (ISS, serum LDH level, and CA by FISH). The primary endpoint was OS from SCT and the secondary end point was PFS from ASCT. R-ISS groups were defined as described by Palumbo et al. J Clin Oncol. 2015; 33(26):2863-2869. Results: There were 50 (52.6%) men and 45 (47.4%) women who underwent ASCT in this period, with a median age at the time of transplant of 66-years-old (range, 36-78). There were 27 patients (28.4%) with high-risk CA: 12 patients (12.6%) with del17p; 11 patients (11.6%) with t(4;14); and 6 (6%) with t(14;16). In addition, 8 patients (8.5%) had high LDH levels and 9 patients (9.5%) presented with renal impairment at diagnosis. The patients were staged at diagnosis according to the three R-ISS groups: 44 patients (46.3%) had stage I, 26 (27.4%) had stage II, and 25 (26.3%) had stage III. CyBorD was the preferred induction regimen which was received by 42 patients (44%). There were 14 patients (15%) who received at least 2 lines of induction. All patients were in at least partial response (PR) at the moment of transplant: 32 in complete response (CR), 32 in very good partial response (VGPR) and the remaining 31 in PR. The response achieved at day +100 after ASCT improved, with 54 patients (57%) in CR, and only 18 patients (19%) in PR. After a median follow-up of 61 months (range, 14-135), median OS from SCT was 108 months (95% CI: 85 - 132 months) and the median PFS was 45.4 months (95% CI: 31.1 - 53.8 months) in the whole series.MM patients with R-ISS III had a significantly shorter median OS compared to patients with R-ISS II or R-ISS I (32.1 months vs. 94.7 months vs. not reached, respectively, P<0.0001) (Figure). No statistically significant differences in baseline characteristics were identified among these groups to explain the differences in OS observed. PFS among these groups was not statistically significant, only showing a trend towards shorter PFS in R-ISS III compared with either R-ISS I or II: median 22.1 months vs. 35.7 months, respectively, (P=0.2). Renal impairment at diagnosis, IgA subtype, ≥ 2 lines of induction treatment, and less than CR achieved at day +100 after ASCT were also associated with significantly inferior OS. Multivariate analysis selected R-ISS as an independent predictor for OS (HR: 2.3, 95% CI: 1.1-4.8; P=0.03), as well as ≥ 2 lines before ASCT. CR at day +100 after ASCT was the most important independent factor for predicting PFS (HR: 0.4; 95% CI: 0.2-0.6; P<0.001). Conclusion: R-ISS assessed at diagnosis was an independent predictor for OS after ASCT in our series, with median OS for the different R-ISS groups comparable to those reported by Palumbo et al. in their subgroup of younger patients. Thus, this study lends further support for the R-ISS as a reliable prognostic tool for estimating OS in transplant-eligible MM patients. In addition, new treatment approaches are needed for the high-risk patients (R-ISS III) with a median OS of 2.5 years. Figure Figure. Disclosures Reeder: Millennium: Research Funding; BMS: Research Funding; Celgene: Research Funding; Novartis: Research Funding. Mikhael:Abbvie: Research Funding; Onyx: Research Funding; Sanofi: Research Funding; Celgene: Research Funding. Bergsagel:Amgen, BMS, Novartis, Incyte: Consultancy; Novartis: Research Funding. Stewart:celgene: Consultancy. Fonseca:Janssen: Consultancy; Celgene: Consultancy; Sanofi: Consultancy; Novartis: Consultancy; Bayer: Consultancy; AMGEN: Consultancy; AMGEN: Consultancy; AMGEN: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; AMGEN: Consultancy; Millennium, a Takeda Company: Consultancy; Janssen: Consultancy; Sanofi: Consultancy; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Novartis: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Millennium, a Takeda Company: Consultancy; Millennium, a Takeda Company: Consultancy; Bayer: Consultancy; Celgene: Consultancy; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms; BMS: Consultancy; Millennium, a Takeda Company: Consultancy; BMS: Consultancy; Patent: Patents & Royalties: Prognostication of MM based on genetic categorization of FISH of the disease; Patent Pending: Patents & Royalties: The use of calcium isotopes as biomarkers for bone metabolisms.

Abstract Introduction We have previously developed a primary human bone marrow model in CLL which allows us to study marrow derived mesenchymal stroma cells (MSC) and mimic in vivoMSC-leukemic interactions in CLL (Ding, Blood, 2010) These interactions proved to be bidirectional with functional implications for both cell types. However the biologic and clinical implications of these bilateral cellular interactions in relation to MSC function in CLL patients have not been completely studied. MSC are clearly established as an essential component in forming supportive marrow niches for hematopoiesis. Our focus in this study thus was to further investigate on the status of CLL MSC function in comparison with normal MSC and the impact of the leukemic CLL B cell on MSC function and its role in forming marrow niches in CLL. Methods Bone marrow (BM) aspirates of CLL patients or normal age-matched subjects were used to generate MSC and these MSC were then assessed for various functions. Specifically we assessed the growth, differentiation capacity, gene expression, cytokine secretion profile and transcriptome analysis of CLL and normal MSC using colony forming unit (CFU) assay, MSC differentiation assay, Affymetrix U133 2.0 plus array and RNA sequencing respectively. To determine MSC CFU frequency, fixed number of nucleated cells (5 or 10 million) from BM aspirates were added in MSC growth medium for 10 days to form CFU. CFU frequency was then calculated by dividing the number of MSC colonies by the fixed number of inputted nucleated cells. In order to test the specific gene changes that occurred in MSC after their interaction with CLL leukemic cells, normal MSC were co-cultured with CLL cells for 1 week and subsequently followed by cell growth, gene expression analysis with RNA sequencing and cytokine profiles using a multiplex assay. Results CLL MSC generated significantly lower CFU colonies compared to normal subjects (CLL [n=24] vs normal [n=6] mean: 2.2 vs. 22 CFU per million nucleated cells, p=0.01). In order to test if the lower number of CLL MSC CFU was due to their reduced growth capacity or lower frequency, we then performed the CFU assay using identical numbers of CLL and normal MSC at the start of culture. CLL MSC was found to have significantly lower CFU capacity compared to normal MSC (mean: 2.1 [CLL] vs 4.5 [normal] CFU/10 input cell, n=7 in each group, p=0.03). To investigate the mechanism(s) for the reduced growth capacity of CLL MSC, we compared the gene expression profiles of non-stimulated CLL vs. normal MSC (n=10 for each group) with the following outcomes: CLL MSC had increased expression of cell cycle inhibitor: p16(Ink4a) and p57, both key markers of cell senescence (Baker, Nature, 2011); CLL MSC overexpressed homeobox B cluster of transcription factors, key regulator for cell development and differentiation. Wnt inhibitors DKK1/DKK2 and non-canonical Wnt 5b known to be associated with aging were found to be 10 and 2 fold more elevated in CLL MSC. In addition, MSC abundantly produced a milieu of the cytokines MCP-1/IL-8/IL-6/IL-1Ra after interaction with CLL leukemic cells. These cytokines are associated with a senescent associated secretory phenotype (SASP). Co-culture experiments of normal MSC with CLL Leukemic cells revealed significant impact of leukemic cells on normal MSC functions. Co-culture with a low density of CLL leukemic cells (CLL to MSC ratio: ≤10,000/1) increased MSC growth (1.2 fold). However, high density co-culture of CLL cells with MSC (CLL to MSC ratio of 100,000/1) inhibited MSC growth (0.8 fold). Transcriptome analysis of normal MSC before and after one week of co-culture with CLL leukemic cells showed that normal MSC had alteration of ~1500 genes. Many of the modified genes (CDKN2B, DKK2, LIF, HGF, FOXQ1 etc) are known to be involved in regulation of cell growth and senescence. Conclusion Collectively, these results demonstrated that bone marrow derived CLL MSC have decreased proliferative potential and possess senescent phenotypes. Importantly these senescent features were inducible in normal MSC after their interaction with CLL leukemic cells implying that leukemic B cells can educate MSC to become senescent. The implications of the CLL MSC senescence status are multiple and include: defective hematopoietic niches due to dysfunctional MSC, immune dysregulation and the enhanced nurturing of CLL B cell by these MSC. We are now investigating several of these latter features in our current work. Disclosures Shanafelt: Genentech: Research Funding; GlaxoSmithKline: Research Funding; Celegene: Research Funding; Cephalon: Research Funding; Pharmacyclics/Jannsen: Research Funding; Hospira: Research Funding; Polyphenon E Int'l: Research Funding. Kay:Genetech: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees.

Abstract Background:A goal of “post-genomic” cancer care is development of specific, affordable, reliable and rapid next-generation sequencing-based assays determining prognosis, therapeutic selection and minimal disease monitoring, replacing older technologies in the diagnostic and monitoring workup. In this regard, we designed and deployed a custom gene panel for identification of mutations, copy-number changes and clonal frequency in multiple myeloma (MM) samples. Methods: The MM Mutation Panel Version 2.0 (M3P 2.0)1 includes 1271 amplicons from 77 genes that are either mutated in MM (genes with a published mutation incidence ≥3%), represent critical pathophysiological pathways, are targetable with small molecule-based therapies and/or are associated with drug resistance (eg. XBP-1, CRBN, IZKF, IRF4). The amplicons are spread across 21 chromosomes, allowing the identification of copy-number changes in these regions. Results: We have sequenced 38 MM cases (150 will be presented) with paired tumor-germline DNA samples, using only 20ng of DNA for library preparation. Patients (Pts) included 29 untreated and 9 MM pts with multi drug refractory disease. Coverage depth averaged 964X. Hyperdiploid MM was successfully identified in 45% of cases, del(13q) in 34%, del(1p) in 18%, del(17p) in 8% and gain of 1q in 13%. Array CGH in representative cases confirmed concordance with semiconductor sequencing. Overall, 71 exonic missense and 3 nonsense mutations were detected, and 7 frameshift indels. In 89% of the pts a mutation in at least one M3P2.0 gene was identified (range 1-8). 92% of mutations were predicted damaging (Provean, Polyphene-2 or SIFT). Most commonly mutated were KRAS (37%), NRAS (21%), BRAF (13%), TP53, CDKN1B, DIS3 (each 11%), FAM46C, STAT3, and IRF4 (each 8%). The MEK-ERK pathway was mutated in 61% of cases and in 3 cases more than one gene in this pathway (NRAS, KRAS, BRAF) was simultaneously mutated. Six mutations in BRAF were identified in 5 untreated pts, 3 of them known to be activating and targetable (Val600E). Other commonly mutated pathways were the NFKB pathway in 24% of pts and the Cyclin D pathway, mutated in 16% of cases. Genes of the cereblon pathway (CRBN, IRF4, IKZF3), essential for the action of lenalidomide (len) were mutated in 5 Pts. One newly diagnosed and len refractory Pt harbored a subclonal CRBN mutation (Asn316Lys, allelic fraction [AF] 20%) as well as 4 clonal IRF4 mutations within the DNA binding domain of the gene (Lys89Asn (AF 78%), Lys77Glu, Ser48Arg and Cys49Ser (AF 80% each). Another IRF4 mutated (Lys123Arg, AF 90%) hemodialysis dependent Pt was responsive to dose adapted treatment of len and dexamethasone (dex). Mutations in the C2H2-type 3 region of IKZF3 in a len resistant (Gly191Arg, AF 48%) pt occured as well as in a len and dex responsive (Arg242Gly, AF 52%) Pt. Furthermore, we identified a truncating XBP1 mutation (p.Leu232*, 97% AF) in a Pt refractory to bortezomib. One patient harbored a mutation in the steroid receptor NR3C1 (Pro255Leu, 22% variant reads). Finally, integrated mutation and copy-number data identified biallelic deletions of CDKN2C and FAM46C in a multi drug refractory Pt. Mutation and/or copy-number losses in both alleles were found in DIS3 in 4 Pts, in CYLD, TP53 and TRAF3 in 2 Pts and in CARD11, CDKN2A, CDKN1B, RB1and STAT3 in one Pt each. Conclusion: In summary, we report the initial results from 38 MM Pts using a custom MM sequencing panel which employs small amounts of DNA requiring very few cells and providing deep coverage in clinically meaningful timeframes. Our findings frequently include prognostically significant information, actionable targets and mutations in genes related to drug resistance. Targeted mutation profiling will likely become part of the clinical workup in MM and our M3P2.0 mutation panel is a suitable tool to provide information needed to guide precision therapy and to set the basis for individually tailored treatment decisions. 1. Kortuem KM. et al. Development Of a 47 Gene Sequencing Panel For Common Mutations Present In Multiple Myeloma: Preliminary Results In 77 p53 Deleted Patients, ASH 2013. Disclosures Stewart: Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Array BioPharma: Consultancy; Sanofi: Consultancy; Takeda Pharmaceuticals International Co.: Research Funding; Novartis: Consultancy. Bruins:OncoSpire: Salary support Other. Vasmatzis:OncoSpire: Salary Support Other. Kumar:Celgene: Consultancy, Research Funding; Millennium: The Takeda Oncology Co.: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding; Sanofi-Aventis: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Skyline Diagnostics: Membership on an entity's Board of Directors or advisory committees. Fonseca:Medtronic, Otsuka, Celgene, Genzyme, BMS, Lilly, Onyx, Binding Site, Millennium, AMGEN: Consultancy, patent for the prognostication of MM based on genetic categorization of the disease. He also has sponsored research from Cylene and Onyx Other, Research Funding. Bergsagel:MundiPharma: Research Funding; OncoEthix: Research Funding; Constellation Pharmaceutical: Research Funding; Novartis: Research Funding.

Abstract Abstract 420 Primary central nervous system lymphoma (PCNSL) is a rare and aggressive non-Hodgkin lymphoma that is confined to the CNS because of a poorly understood neurotropism. Most of PCNSL (90%) are part of the immune-privileged site-associated DLBCL (IPDLBCL). IPDLBCL consist in late–germinal center or post–germinal center lymphoid cells but that show very distinct characteristics that separate them from systemic DLBCL. It is still a matter of debate whether the PCNSL differ from nodal DLBCL with respect to molecular features and pathogenesis and also if there is a genomic signature specific of PCNSL. Only few genetic studies have been performed in PCNSL, partly due to the rarity of the tumors and the limited amount of available tissue. To gain insight into the genomic basis of PCNSL, we performed an integrated, high-throughput, genomic analysis in 17 immunocompetent, EBV- and HIV- cases. B-cell differentiation status was characterized by immunostains for CD10, MUM-1, and BCL-6. Either frozen samples or formalin fixed embedded paraffin sections from 17 PCNSL were studied by array-based comparative genomic hybridization (aCGH) using Sureprint G3 (1 million probes) array. Massively parallel whole-exome sequencing was performed in 4 of these cases. Additionally, 2 cases were analyzed by mate-pair whole genome sequencing searching for chromosomal breakpoints. Sanger DNA sequencing was used for validation. All cases were characterized by complex genomic aberrations with a median of 21 copy-number abnormalities (CNA, range 10–49), 4 structural abnormalities, 6 frameshift indels and 99 nonsynonymous exonic mutations. Focal deletion affecting CDKN2A (9p21) was the most common CNA, found in 14 of 17 cases (82%); with 6 of these cases (35%) having homozygous deletion. The second most frequent CNA involved the HLA genes (6p21), found in 11 of 17 (65%) cases; 4 of them (23%) with homozygous deletions. We identified recurrent CNA and mutations in several genes previously found in systemic DLBCL. Thus, PRDM1 (BLIMP1) was deleted or mutated in 47% of cases and the translocation IgH-BCL6 was found in 30% of PCNSL. Furthermore, recurrent mutations were found in NF-kB genes CD79B (75%, 3 of 4 cases analyzed), MYD88 (70%, 7 of 10), TNFAIP3 (50%, 2 of 4) and CARD11 (50%, 2 of 4). Additionally, recurrent abnormalities were found in B2M, BCL7A, CD58, CIITA, ETV6, GNA13, PAX5, TMEM30A and TP53. Nevertheless, we identified several recurrent genetic alterations not described in systemic DLBCL. TOX (a regulator of T-cell development) and TBL1XR1 (a negative regulator of the NF-kB and Wnt pathways) were either deleted or mutated in 30% of PNCSL, something not previously described in systemic DLBCL. Additionally, chromosomal breakpoints either in DLGAP1 or DLGAP2 (play a role in neuronal cell signaling) were found in 18% of PCNSL but not in systemic DLBCL. Moreover, mutations in ATM (master controller of cell cycle checkpoint), BAI3 (inhibitor of brain angiogenesis), BTG2 (cell cycle arrest), KDM6B (histone demethylase), PKC family members PRKCD/PRKCDE, genes from the histone cluster, the protocadherin family and the WD repeat domain were found in 10% to 50% of PCNSL. Pathway analysis including the most commonly affected genes in PCNSL showed an enrichment of networks associated with immune response, NF-kB pathway, proliferation, regulation of the apoptosis and lymphocyte differentiation and activation. In summary, we show evidence of a highly complex genome and identified a subset of genes with potential relevance in PCNSL pathogenesis. The genomic profile described here reinforces the existence of a specific molecular signature in PCNSL, thus helping to genetically differentiate this entity from the nodal DLBCL and related lymphomas. Disclosures: Stewart: Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy. Fonseca:Medtronic: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Genzyme: Consultancy; BMS: Consultancy; Lilly: Consultancy; Onyx: Consultancy; Binding site: Consultancy; Millenium: Consultancy; AMGEN: Consultancy; Celgene : Research Funding; Onyx: Research Funding; prognostication of MM based on genetic categorization of the disease: Prognostication of MM based on genetic categorization of the disease Patents & Royalties.

Abstract Introduction T-cell prolymphocytic leukemia (T-PLL) is a rare mature T-Cell malignancy typically associated with aggressive clinical course. Leukemic T-cells demonstrate post-thymic T-cell phenotypes (Tdt-, CD1a-, CD5+, CD2+ and CD7+) and commonly are CD4+/CD8- T-cells, but co-expression of CD4+/CD8+ or CD8+/CD4- have also been observed. Rearrangement of chromosome 14 involving TCL1 locus is the cornerstone for T-PLL diagnosis which leads to overexpression of oncogene TCL1. As a binding partner for TCL1, AKT expression correlates with worse prognosis. Despite advances in identification of novel mutations, therapeutic option is limited with most patients having very short survival. Herein, we performed a detailed analysis of specific T-cell subsets affected in T-PLL and a comprehensive genomic analysis by whole exome sequencing (WES) and RNA sequencing. We also explored the preclinical efficacy of targeting AKT activation by AKT inhibitor MK2206 on leukemic T-cells isolated from T-PLL patients. Methods T-PLL leukemic cells were isolated from blood or marrow samples of T-PLL patients (n=9) and were tested for involved T-cell subsets by multicolor flow cytometric analysis. Leukemic T-cells were treated with escalating doses of MK2206 (0 to 10 µM) for about 80 hours and were assessed for their apoptosis levels using Annexin V flow cytometric analysis. Whole exome sequencing (WES) and RNA sequencing were conducted using genomic DNA and RNA isolated from purified leukemic T cells from T-PLL patients. Results Phenotypic analysis of T-cell subsets in T-PLL patients showed that leukemic T-cells in 4 untreated T-PLL patients are consistent with naïve T-cell phenotype (CD45RA+, CD45RO-, CCR7+). Leukemic T-cells in 3 of the untreated patients and in 2 of the treated patients have central memory T (CD45RA-, CD45RO+, CCR7+) and effector memory T phenotypes (CD45RA-, CD45RO+,CCR7-) respectively. MK2206 treatment was able to induce dose-dependent apoptosis on the isolated PBMC (containing > 90% leukemic T-cells) of T-PLL patients (n=4) (IC50: 5 µM). FISH analysis found a rearrangement of TCL1 locus on chromosome 14 in all T-PLL cases (n=9). Three cases have also been detected to have del (11q) involving ATM locus and one patient has both del(11q) and del(17p). Subsequent WES (n=7) and RNA sequencing (n=6) analysis revealed recently reported mutations in ATM (frame shift mutation and early stop mutation W579*) in 2 cases, JAK3 (M511I) in 2 cases and STAT5B (T628S and N642H) in 2 cases. Importantly, novel somatic mutations in gene IKZF1 (N159S), NTRK1 (R33W), AP2A2 (P514L), HDAC8 (I115R), RARB (G90W) and TNIP2 (K104Q) were detected by WES. Mutations in EML4 (L548W and F304S) and VAV3 (C282Y and splice site mutation) were also identified in 2 different T-PLL cases. RNA sequencing revealed several fusion transcripts resulting in early stop of several different genes including PTPRT, L3MBTL1, UCKL1 in one T-PLL case. Conclusion T-PLL leukemic T-cells are consistent with either naïve or central memory T-cell subsets in untreated patients. The AKT inhibitor MK-2206 was capable of inducing apoptosis and could be a potential therapeutic agent for T-PLL patients. In addition, we detected known mutations in ATM and JAK-STAT pathways. Novel mutations in genes involving DNA binding and chromatin remodeling (IKZF1, HDAC8) or kinase signal pathway (NTRK1, TNIP2, VAV3, EML4) were uncovered. These results suggest that further therapeutic approaches could be developed to target DNA binding factors or JAK-STAT or AKT-TCL1 signal pathway with an ultimate goal to improve survival of T-PLL patients. Disclosures Off Label Use: Off label use of MK2206: MK-2206 is an AKT inhibitor obtained from Selleck Chemicals and is used to treat leukemic cells in vitro to test the leukemic sensitivity to AKT inhibition. .

Abstract Abstract 573 Using high throughput RNA interference screening on 6,722 druggable genes we previously identified XPO1/CRM1 as one of the 50 most vulnerable targets in Multiple Myeloma (MM)1. XPO1 knockdown proved lethal in MM cell lines, but had no effect on human embryonic kidney (293) cells or lung cancer (A549) cells, showing that XPO1 is a specific myeloma vulnerability, and that myeloma cell survival is dependent upon XPO1 expression. XPO1 encodes the protein exportin 1, a nuclear transport protein that exports tumor suppressor proteins from the nucleus, where they are active, to the cytoplasm, where they become inactive. We next analyzed XPO1 in MM via gene expression profiling (GEP). XPO1 expression is up-regulated as the disease progresses: patients with active MM have a higher level of XPO1 compared to normal plasma cells (p<0.04) and to patients with monoclonal gammopathy of undetermined significance or smoldering MM (p<0.0001). The highest levels were in human MM cell lines. TC classification revealed highest levels in t(11;14) and lowest levels in t(4;14) disease. Selective inhibitors of nuclear export (SINE) compounds have recently been developed that irreversibly inhibit XPO1/CRM1 and its nuclear export function. One such inhibitor, KPT-276, decreased the viability of all 12 MM cell lines tested in vitro, as shown by MTT assay. After 72 hours of drug treatment, a median IC50 value of approximately 175 nM (range 30–1000 nM) was observed. No synergy with other commonly used anti-MM therapeutics was observed in vitro. In contrast, the drug had little effect in 8 solid tumor cell lines with the exception of the B cell lymphoma line Ramos. KPT-276 was also consistently active in inducing apoptosis against MM primary patient samples. Using an IC80 dose of KPT-276, drug-treated samples had a reduced population of cells in S phase (8%) compared to cells treated with DMSO (21%). Using the vkappa*myc transgenic MM model, KPT-276 reduced monoclonal spikes (by a mean of 56%) in all mice treated orally with 150 mg/kg dose three times per week for 4 weeks. Furthermore, KPT-276 significantly reduced tumor growth in a xenograft MM1.S mouse model. GEP was performed in the presence or absence of drug in two different MM cell lines. Two genes of probable relevance, cell division cycle 25 homolog A (CDC25A) and Bromodomain-containing protein 4 (BRD4), were dysregulated by SINE treatment. Both are involved in cell cycle control and have been linked to MYC. RT-PCR and western blotting confirm that MYC, CDC25A and BRD4 are down-regulated, as soon as six hours, after treatment with KPT-276. KPT-276 has shown marked anticancer activities against B cell malignancies in vitro and is active and tolerated in Phase I canine studies. KPT-330, a close analog of KPT-276, is currently in Phase 1 studies in human with advanced hematological and solid tumors. Disclosures: Schmidt: Karyopharm: Research Funding. McCauley:Karyopharm Therapeutics Inc: Employment. Shacham:Karyopharm Therapeutics: Employment. Kauffman:Karyopharm Therapeutics Inc: Employment. Stewart:Millenium: Consultancy, Honoraria, Research Funding; Onyx: Consultancy; Celgene: Consultancy.

Abstract Abstract 5132 There is a well- recognized correlation between cancer and aberrant hemostasis. Venous thromboembolism (VTE) in individuals with solid epithelial tumors has been associated with a poor prognosis, with more than three-fold higher risk of early death as compared to cancer patients without thrombosis. The expression of tissue factor (TF), a cell-surface membrane glycoprotein that triggers the activation of coagulation by cancer cells, is one of the main underlying mechanisms linking thrombosis and aggressive tumor behavior. TF is expressed in a variety of solid tumors in association with genetic events affecting oncogenes and tumor suppressor genes. However, the mechanisms of thrombosis in individuals with hematological malignancies may differ from those with solid tumors. We have previously shown that despite the high rate of thrombosis in multiple myeloma, malignant plasma cells only rarely express TF. We sought to determine TF gene (F3) and protein expression in hematological neoplasias. F3 expression profiling was studied on a variety of cell lines established from lymphoid and myeloid neoplasias available at Glaxo Smith Kline (GSK) Cancer Cell Line Genomic Profiling Dataset (https://array.nci.nih.gov/caarray/project/woost-00041). Interestingly, F3 expression was absent in all lymphoid neoplasias studied, in sharp contrast to acute myeloid leukemias (AML) and solid tumors, of which 30 and 90% expressed F3, respectively. Immunohistochemistry (IHC) confirmed the absence of TF protein expression in all indolent and high-grade B-cell lymphomas (99 patients, including germinal center and activated B-cell phenotype diffuse large B-cell lymphomas) and in all T-cell lymphomas/leukemias (20 patients) studied. IHC for TF was also negative in AML (11 patients) but positive in representative solid tumors (breast, pancreas, prostate), except for renal cell carcinoma which has been previously shown to lack TF. We propose that the pathogenesis of VTE associated with hematological neoplasias differs from that of solid tumors. Though TF from non-neoplastic cell sources may still be important for the prothrombotic state often seen in these patients, we show there is no evidence for a role of tumor-derived TF in the development of DVT, nor in neoplastic behavior. Thus, treatments directed against TF may not impact on prognosis in lymphoid, and non TF-expressing myeloid neoplasias. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 4637 Primary central nervous system lymphoma (PCNSL) is an aggressive form of extra-nodal, high-grade, non-Hodgkin B-cell neoplasm. It originates in the brain, leptomeninges, spinal cord or eyes and typically remains confined to the CNS. Further immunophenotypic characterization has revealed that these tumors have overlapping features of germinal center and activated B-cell differentiation. Although the cells of origin are lymphocytes, PCNSL should be considered a brain tumor because its therapeutic challenges resemble those of other brain tumors. Regarding the molecular pathogenesis of PCNSL, there is significantly less information in comparison with systemic lymphomas. The aim of this study was to perform a comprehensive high-resolution genomic analysis in a cohort of PCNSL cases to better characterize the disease at chromosomal and gene level. Copy-number abnormalities were analyzed in seven PCNSL by array-based comparative genomic hybridization (aCGH) using SurePrint G3 (1 million probes, ∼4 Kb resolution) microarray (Agilent). Overall, PCNSL cases were characterized by highly complex genomes with a median of 23 copy-number abnormalities per patient (range 16-49). The whole genomic regions affected in abnormalities correspond to areas between 3% and 29% of the human genome. Globally, 43 chromosomal regions were affected in a recurrent fashion (24 areas involved in recurrent deletions and 19 in copy-number gains). Gain of 12q12-q24.33 and losses of 9p21.3 and 6q were the most common abnormalities found in 71% patients each (5 out of 7). There was not a unique deleted region on 6q to all patients, with 6q14.1-q14.3, 6q16.3-q22.2 and 6q25.3-q26 losses being found in 4 out of 5 cases with 6q deletions. None of these regions include PTPRK, which has been previously proposed as a potential modulator of PCNSL progression. CDKN2A was the sole gene included in all cases with 9p21.3, being biallelically deleted in two out of 5 cases. Minimal deleted genes were also delineated in 3p21.1 (minimal affected area of 0.03Mb) and 3q26.32 (0.27Mb) in 44% of cases each. Those regions included PRKCD (inhibits B-cell growth through transcriptional regulation of IL-6) and TBL1XR1 (corepressor of nuclear hormone receptor), respectively. Overall, a total of 22 genes were included in homozygous deletions in at least one case. Besides CDKN2A (cell cycle), other genes of interest associated with the development and activation of T cells (TOX, CD58) were biallelically affected. Focal monoallelic deletions affecting negative regulators of the NFkB signaling pathway (MAP4K1, TANK, TAX1BP1, TRIB3), cell cycle (RB1) and immune-cell regulation (SIRPB1, CBLB, NFATC2) were also identified. Of interest, no copy-number abnormalities were identified affecting TP53 in any patient. Several chromosomal breakpoints were identified inside genes that encodes transcription factors previously identified as being part of fusion protein in other hematological malignancies (FOXP1, ETV6 and NCOA2) thus suggesting the potential existence of fusion proteins including these genes. Cytogenetic and genetic approaches are being currently used to validate this hypothesis. This is the first study characterizing a cohort of PCNSL cases by using this comprehensive high-resolution approach. Regarding the small number of cases analyzed so far, we can confirm the existence of a highly complex genome, mainly characterized by abnormalities affecting a plethora of genes involved in lymphocyte development, activation and NF-kB signaling pathways regulation. Molecular analyses are ongoing to validate these findings in a larger cohort of PCNSL patients. Disclosures: Fonseca: Otsuka: Consultancy; BMS: Consultancy; Amgen: Consultancy; Medtronic : Consultancy; Genzyme: Consultancy.