Feldman, Andrew L.

Abstract Background Peripheral T-cell lymphomas (PTCLs) are aggressive non-Hodgkin lymphomas with poor overall survival rates. The genetics of PTCLs are poorly understood. We have described t(6;14)(p25.3;q11.2) translocations in PTCLs involving the T-cell receptor-alpha (TRA@) and interferon regulatory factor-4 (IRF4) genes and overexpressing IRF4 protein (also called MUM1). IRF4/MUM1 is a lymphoid transcription factor involved in differentiation and growth, the expression of which is tightly regulated in normal T cells. However, nearly half of PTCLs constitutively express IRF4/MUM1 and this expression is associated with adverse overall survival in several PTCL subtypes. Because IRF4/TRA@ translocations are rare among PTCLs (<1%), we investigated the presence of other genetic abnormalities of IRF4 in PTCLs and examined their association with IRF4/MUM1 protein expression. Methods Studies were performed on paraffin tissue sections of PTCL specimens diagnosed by standard WHO criteria. IRF4/MUM1 immunohistochemical staining (IHC) was performed using the MUM1p antibody and considered positive if nuclear staining was present in >30% of tumor cell nuclei. Fluorescence in situ hybridization (FISH) was performed using breakapart probes constructed from bacterial artificial chromosome DNA that hybridized to loci flanking the IRF4 locus on 6p25.3. Cases with 3 or more fusion signals were considered to have extra copies of the IRF4 gene. In a subset of cases, PCR and Sanger sequencing was performed on DNA extracted from frozen PTCL tumor tissue with primer sets that amplified exons 1 to 10 of the IRF4 gene. Data were analyzed using the chi-square test or t test. Results PTCLs from 277 patients (175 M:102 F; median age, 61 y) were examined by both IHC and FISH. The subtype distribution was: PTCL, not otherwise specified (NOS), 93; anaplastic large cell lymphoma (ALCL), 89; angioimmunoblastic T-cell lymphoma (AITL), 27; cutaneous T-cell lymphoma (CTCL), 43; and cytotoxic PTCL, 25. IRF4/MUM1 was positive in 116 cases (42%). Extra copies of IRF4 were identified in 18 PTCLs (7%), 83% of which were IRF4/MUM1 protein-positive. In contrast, 39% of cases without extra copies of IRF4 were IRF4/MUM1 protein-positive (p=0.0002). The mean percentage of tumor cells with IRF4/MUM1 staining was 69% in cases with extra copies of IRF4, compared to 30% in cases without extra copies (p=0.0001). Extra copies of IRF4 were seen in 13% of ALCLs, 4% each of PTCLs, NOS and cytotoxic PTCLs, 2% of CTCLs, and 0% of AITLs (p=0.02). Two IRF4/MUM1-positive cases had an IRF4/TRA@ translocation (1%). We selected 30 IRF4/MUM1-positive PTCLs for Sanger sequencing. In this subset, we identified a previously undescribed non-synonymous variant in exon 5 (S309R) in 1 case (3%) without an extra copy of IRF4. Conclusions Extra copies of IRF4 are seen in ∼7% of PTCLs, are significantly associated with IRF4/MUM1 expression, and are preferentially observed in ALCLs. Both IRF4/TRA@ translocations and IRF4 mutations are rare in PTCLs. These data suggest that genetic abnormalities of the IRF4 gene – specifically extra copies of IRF4 – may contribute to IRF4/MUM1 expression in some PTCLs. Since IRF4/MUM1 expression is seen in ∼42% of PTCLs, these data also imply the existence of other regulatory mechanisms. Characterizing these mechanisms may be important clinically, since IRF4/MUM1 has been proposed as a therapeutic target in human cancers but drugs that directly inhibit its function are currently not available. Disclosures: No relevant conflicts of interest to declare.

Abstract Background Age has long been recognized as a poor prognostic factor in diffuse large B-cell lymphoma (DLBCL) and more recently, a lower baseline quality of life (QOL) in patients with aggressive lymphomas has been associated with an inferior overall survival (OS) (Thompson et al, 2018). Older patients with DLBCL are a heterogeneous population and commonly have comorbid conditions. A concerted effort to identify prognostic factors specific to this population is needed, including QOL. Event free survival at 24 months (EFS24) is a well validated endpoint in DLBCL (Maurer et al, 2014) and is clinically relevant in older patients. We hypothesized that baseline clinical factors and QOL would be associated with EFS24 this patient group. Methods Newly diagnosed lymphoma patients were prospectively enrolled within 9 months of diagnosis into the University of Iowa/Mayo Clinic Lymphoma SPORE Molecular Epidemiology Resource (MER). Patients ≥70 years of age with DLBCL were utilized in this study. All pathology was reviewed by a lymphoma hematopathologist. Clinical variables were abstracted from the medical record. QOL was assessed at enrollment using a single item Linear Analogue Self-Assessment (LASA) and the 27-item Functional Assessment of Cancer Treatment-General questionnaire (FACT-G), which includes physical, social, emotional, and functional well-being domains. QOL scores were converted to a 0-100 scale to facilitate modeling. QOL was analyzed in patients who completed 80% of the FACT-G questions. Characteristics of the study population were compared using the Wilcoxon rank sum test. Odds ratios (ORs) and 95% confidence intervals (CI) were used to estimate the associations of clinical and continuous QOL variables with failure to achieve EFS24 using logistic regression models, with a stepwise approach to identify parsimonious multivariate models. Results A total of 389 patients ≥70 years were identified with DLBCL in the MER from 2002-2015; patient characteristics are described in the Table. In the entire study population, univariate predictors of EFS24 failure included age (OR per 10 years=1.85, 95% CI: 1.26-2.71), ECOG PS ≥2 (OR=4.78, 95% CI: 2.92-7.83), elevated LDH (OR=3.59, 95% CI: 2.27-5.65), stage III-IV (OR=1.94, 1.25-3.02), bulky disease (OR=2.86, 95% CI: 1.43-5.72), international prognostic index (OR=8.71 for IPI 5 vs IPI 0, 95% CI: 3.04-24.9), and receipt of an anthracycline (OR=0.25, 95% CI: 0.12-0.51), while none of the other variables in the Table, including the QOL variables, were statistically significant. In a stepwise multivariate analysis, only ECOG PS ≥2 (OR= 3.56, 95% CI: 2.09-6.06) and elevated LDH (OR=2.86, 95% CI: 1.78-4.60) remained significant predictors of EFS24 failure. QOL data were available on 220 patients, with 120 completing QOL questionnaires prior to receipt of chemotherapy. Compared to participants who completed their FACT-G before the initiation of chemotherapy, the median FACT-G physical (85.7 v. 71.4, p=0.005) and functional (71.4 vs 57.1, p=0.008) scores were lower in participants completing FACT-G after initiation of therapy, were higher on FACT-G emotional (79.2 vs 83.3, p=0.03), and showed no differences on FACT-G social (89.3 vs 91.7, p=0.60) or FACT-G total score (78.2 vs 74.1, p=0.17). Given these differences, we restricted the QOL analysis to those with pre-treatment data. In univariate analysis, the LASA score (OR= 0.98, 95% CI: 0.84-1.14), the FACT-G total (OR=0.99, 95% CI: 0.96-1.01), physical (OR=0.98, 95% CI: 0.97-1.00), social (OR=1.00, 95% CI: 0.98-1.03), emotional (OR= 1.00, 95% CI: 0.98-1.02), and functional (OR=0.99, 95% CI: 0.98-1.01) scores were not associated with EFS24 failure. In a stepwise multivariate analysis of clinical variables in patients with pretreatment QOL scores, only ECOG PS ≥2 (OR=3.56, 95% CI: 1.30-9.72) and female sex (OR=0.37, 95% CI: 0.16-0.85) were associated with failure to achieve EFS24. Conclusions In patients aged 70 years and older, ECOG PS and LDH were the strongest independent predictors of failure to achieve EFS24. As expected, physical and functional scores were lower in patients who completed their QOL after initiation of treatment. Restricting the analysis to patients with pre-treatment data, QOL was not associated with failure to achieve EFS24. Additional studies are needed to identify the most robust clinical predictors of EFS24, while QOL does not appear to be an important predictor of EFS24. Disclosures Reagan: Seattle Genetics: Research Funding. Maurer:Morphosys: Research Funding; Celgene: Research Funding; Nanostring: Research Funding. Cerhan:Celgene: Research Funding; Nanostring: Research Funding; Jannsen: Other: Scientific Advisory Board.

Abstract PURPOSE Urgency to initiate therapy has to be weighed against the time required for screening and consenting to enroll a patient onto a clinical trial. Exclusion of patients with rapidly progressive or symptomatic disease may lead to selection of patients with less aggressive disease. We recently identified that a short diagnosis to treatment interval (DTI) is associated with adverse clinical factors and inferior outcome in patients with diffuse large B-cell lymphoma (DLBCL) (Maurer et al, JCO 2018); shorter time to treatment was also found to be associated with outcome in other aggressive lymphomas, including mantle cell lymphoma (MCL), in the National Cancer Database (Olszewski et al, BJH 2018). Here we assess the association of DTI with clinical variables and outcome in MCL from an observational cohort with validation in patients enrolled on an NCTN clinical trial. PATIENTS AND METHODS Newly diagnosed patients with MCL were prospectively enrolled in the University of Iowa/Mayo Clinic Lymphoma SPORE Molecular Epidemiology Resource (MER), now a subcohort of the Lymphoma Epidemiology of Outcomes (LEO) Cohort Study. Patients initially managed with observation were excluded. DTI was defined as the time in days from date of first lymphoma-containing biopsy to the initiation of therapy. Associations of DTI with clinical factors and outcome were examined using a 14 day split based on the previous MER study of DTI in DLBCL. Odds ratios (OR) and Cox model hazard ratios (HR) are reported. Outcome was assessed using event-free survival (EFS) where events were defined as progression/relapse, initiation of new anti-lymphoma therapy, or death due to any cause. A validation cohort was assembled from patients enrolled in CALGB (Alliance) clinical trial 50403. Protocol therapy was high dose chemotherapy with autologous hematopoietic stem cell transplantation (ASCT) consolidation and post-ASCT rituximab followed by bortezomib as either consolidation or maintenance. DTI was defined as time from diagnosis to study registration and outcome was assessed using progression-free survival (PFS) as defined on the clinical trial. RESULTS 271 patients with MCL enrolled in the MER from 2002-2015 and initiated treatment within 100 days of diagnosis. Median age at diagnosis was 64 years (range 36-76), 211 (78%) were male, and 92% were stage III-IV; MIPI was Low (41%), Intermediate (36%) and High (23%). Induction therapy was R-CHOP based (50%), B-R based (16%), HyperCVAD based (8%), 2-CDA based (11%), and other (15%). Median EFS of the cohort was 41 months (95% CI: 34-46). Median DTI was 26 days (IQR: 14-38) and 28% enrolled within 14 days of diagnosis, exhibiting a longer DTI than DLBCL patients enrolled in the MER during the same time period. Short DTI (0-14 days) was associated with adverse clinical factors including ECOG PS 2-4 (OR=5.74, 95% CI: 2.51-13.1, p<0.0001), elevated LDH (OR=2.30 95% CI: 1.25-4.22, p=0.0072), and higher MIPI score (OR=1.48, 95% CI: 1.04-2.07, p=0.025) but was not significantly associated with age, sex, B-symptoms, or stage (all p>0.30). Short DTI was also associated with inferior EFS (HR=1.78, 95% CI: 1.27-2.49, p=0.0008) which remained significant after adjusting for MIPI score (HR=1.72, 95% CI: 1.23-2.41, p=0.0016). In the validation cohort, 144 patients enrolled on 50403 within 100 days of diagnosis from 2006-2010. Median age at diagnosis was 59 years (range 29-69), 77% were male, and 97% were stage III-IV; MIPI was Low (51%), Intermediate (31%) and High (17%). Median PFS of the cohort was 84 months (95% CI: 50-109). Median DTI was 35 days (IQR: 22-46) and 11% enrolled within 14 days of diagnosis. Short DTI (0-14 days) was associated with PS (OR=9.00, 95% CI: 1.18-69.0, p=0.034) and) higher MIPI score (OR=2.09, 95% CI: 1.08-4.04, p=0.029) but not elevated LDH (OR=1.27, 95% CI: 0.43-3.74, p=0.66). Short DTI was associated with inferior PFS (HR=2.21, 95% CI:1.19-4.09, p=0.011) which remained clinically significant after adjusting for MIPI score (HR=1.85, 95% CI: 0.98-3.47, p=0.056). CONCLUSION A short diagnosis-to-treatment interval is strongly associated with adverse clinical factors and poor outcome in newly diagnosed MCL in the MER. Clinical trials are encouraged to facilitate enrollment of patients with short DTI to avoid potential selection bias. Support: U01 CA195568, P50 CA097274, U10CA180821, U10CA180882; ClinicalTrials.gov Identifier: NCT00310037 (CALGB 50403) Figure. Figure. Disclosures Maurer: Celgene: Research Funding; Nanostring: Research Funding; Morphosys: Research Funding. Kaplan:Bayer Pharmaceuticals: Consultancy. Cohen:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Research Funding; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Infinity Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Millennium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BioInvent: Consultancy; Takeda: Research Funding. Martin:Gilead: Consultancy; Kite: Consultancy; Seattle Genetics: Consultancy; AstraZeneca: Consultancy; Janssen: Consultancy; Bayer: Consultancy. Kahl:Abbvie: Consultancy; AstraZeneca: Consultancy; Gilead: Consultancy; Acerta: Consultancy; Juno: Consultancy; Celgene: Consultancy; Genentech: Consultancy; Seattle Genetics: Consultancy; CTI: Consultancy; ADC Therapeutics: Consultancy. Bartlett:ImaginAB: Research Funding; Bristol-Meyers Squibb: Research Funding; Novartis: Research Funding; Immune Design: Research Funding; Janssen: Research Funding; Merck & Co: Research Funding; Forty Seven: Research Funding; Novartis: Research Funding; Pharmacyclics: Research Funding; Affimed: Research Funding; Astra Zeneca: Research Funding; Pharmacyclics: Research Funding; Acerta: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Millennium: Research Funding; Genentech: Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Cerhan:Celgene: Research Funding; Jannsen: Other: Scientific Advisory Board; Nanostring: Research Funding. Leonard:Karyopharm: Consultancy; Biotest: Consultancy; Bayer: Consultancy; Pfizer: Consultancy; ADC Therapeutics: Consultancy; Novartis: Consultancy; AstraZeneca: Consultancy; Juno: Consultancy; BMS: Consultancy; Sutro: Consultancy; MEI Pharma: Consultancy; Genentech/Roche: Consultancy; Celgene: Consultancy; Gilead: Consultancy; United Therapeutics: Consultancy.

Abstract Abstract 88 Introduction: The biology and genetics of anaplastic large T-cell lymphomas (ALCLs) lacking ALK translocations remain poorly defined. We recently identified recurrent translocations involving the DUSP22-IRF4 locus on 6p25.3 in ALK-negative ALCL (Blood 2011;117:915–9). This translocation is present in about 20% of ALK-negative ALCLs and is absent in other T-cell lymphomas; however, the biologic consequences are unknown. In this study, we utilized gene expression profiling (GEP) to compare T-cell lymphomas with and without this translocation. Methods: cDNA was prepared from total RNA extracted from frozen tissue from 25 T-cell lymphoma patients under a Mayo Clinic IRB-approved protocol as follows: 5 ALK-negative ALCLs with 6p25.3 translocations (2 systemic, 3 cutaneous), 12 ALK-negative ALCLs without 6p25.3 translocations (11 systemic, 3 cutaneous), 5 ALK-positive ALCLs, and 3 CD30-positive peripheral T-cell lymphomas (1 transformed mycosis fungoides and 2 not otherwise specified). Partner loci in cases with 6p25.3 translocations were 7p32.3 in 2, 9p24.3 in 1, and unknown in 2. GEP data (Affymetrix U133 plus 2.0) were analyzed by unsupervised clustering; in addition, a GEP signature was developed using genes with raw values >200 in at least 2 cases with at least 2-fold, statistically significantly different expression between 6p25.3-translocated and non-translocated cases (p<0.05 after Benjamini-Hochberg multiple testing correction). Representative overexpressed genes were confirmed by quantitative real-time (qRT-) PCR. Supervised pathway analysis was performed using signatures derived from other studies or curated from public pathway databases. Results: By unsupervised clustering, the 5 cases with 6p25.3 translocations clustered together (281 probe sets). A GEP signature segregating translocated from non-translocated cases included 283 genes (195 up- and 88 down-regulated). Key features of this signature included altered expression of histone-modifying genes (e.g. EZH2, SUZ12, MLLT3, MLL; HDAC4) and up-regulation of cancer-testis antigen (CTA) genes (e.g. SSX4, TEX14, MAGEA12, SSX1, CTAG2). The signature included down-regulation of DUSP22 but not of other genes on 6p25 in the signature. Additional overexpressed genes were validated by qRT-PCR (relative expression: TEX14, 2.9, p=0.01, t test; MAL, 6.5, p=0.003; CCR8, 7.6, p=0.0004). Supervised pathway analysis demonstrated a high proliferation signature in cases with 6p25.3 translocations (p=0.006 vs. untranslocated cases). Conclusions: ALK-negative ALCLs with translocations involving the DUSP22-IRF4 locus on 6p25.3 have a distinct gene expression signature characterized by alterations of histone-modifying genes and CTA genes (which typically are regulated epigenetically, either through histone modifications or changes in methylation). This signature appears independent of anatomic site (systemic vs. cutaneous) and partner locus (7p32.3 vs. other). DUSP22, encoding a dual-specificity phosphatase involved in modulating mitogen-activated protein kinase (MAPK) signaling, is significantly down-regulated in translocated cases; however, pathway analysis did not show significant alterations in MAPK-associated genes. Other known genes in the region of the breakpoint on 6p25 were not affected substantially. These findings suggest the possibility of an unrecognized function of DUSP22. Contributions of the varying partner loci remain unclear. The distinct GEP signature associated with 6p25.3 translocations provides strong support for their biologic relevance. Finally, the genes involved in the histone-modifying signature show overlap with histone-modifying genes mutated in B-cell lymphomas, suggesting potential commonalities in the biology and possibly targeted treatment of B- and T-cell lymphomas. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 3929 Poster Board III-865 In addition to providing prognostic information, gene expression profiling studies have helped to elucidate the putative cell of origin (e.g. activated or germinal center B cell) in diffuse large B-cell lymphoma. With the exception of angioimmunoblastic T-cell lymphomas, which are thought to derive from follicular helper T cells, little is known about the cell of origin for the most common peripheral T-cell lymphoma (PTCL), PTCL-unspecified (PTCL-U). Following appropriate antigenic stimulation, naïve CD4+ T cells may terminally differentiate into effector cells, defined by the production of specific cytokines, including IL-4/IL-10 producing Th2 cells. We have previously demonstrated that IL-10, produced by malignant T cells, is systemically elevated in the serum of patients with PTCL and contributes to the suppression of host anti-tumor immunity. Murine studies have demonstrated that the transcription factor GATA-3 is both critically important for IL-10 transcription and is required for the differentiation of Th2 cells. Therefore, we hypothesized that a subset of PTCL-U may be Th2-derived and express GATA-3. To examine this possibility, PTCL-U cases with adequate paraffin-embedded tissue were identified from a single institution (n=46) and immunohistochemically stained for GATA-3 expression. More than 10% of tumor cells expressed GATA-3 in 17 (37%) of the 46 cases examined. Follow up data sufficient to determine overall survival was available for 43 of these patients, in whom the expression of GATA-3 was associated with a poorer overall survival. Patients with GATA-3 negative tumors (n=27) had a median overall survival (OS) of 3.8 years, whereas patients with GATA-3 positive tumors (n=16) had a median OS of 0.7 years (p=.002). Among low-intermediate risk patients, as defined by the International Prognostic Index (IPI), GATA-3 expression was associated with inferior median overall survival (<12 months, p<.001). IL-10 production may explain the adverse impact of GATA-3 expression on OS in PTCL-U, as GATA-3 plays a central role in IL-10 transcription in normal T cells. To determine whether it may have a similar role in malignant T cells, we identified a PTCL cells line (SU-DHL-1) that highly expressed GATA-3 by intracellular flow cytometry. We next transfected these cells with a negative control or GATA-3 specific siRNA and demonstrated that transfection with GATA-3 siRNA significantly decreased GATA-3 expression in these cells. Following knockdown of GATA-3 expression, we measured both cell proliferation by 3H-TdR incorporation and IL-10 production by ELISA. No significant difference in cell proliferation was observed (n=4, p=0.2), whereas an approximately 50% reduction in IL-10 production was observed (n=3, p=.008) following inhibition of GATA-3 expression. Therefore, GATA-3 expression in malignant T cells may promote the production of IL-10, thus impairing host anti-tumor immunity. Immunomodulatory drugs (IMiDs), like lenalidomide, may downregulate GATA-3 expression in normal T cells. Therefore, we sought to determine whether lenalidomide may inhibit IL-10 production in normal and malignant T cells. T cells obtained from normal donors were activated with anti-CD3 and treated with either DMSO or lenalidomide (10 μM). Intracellular staining for both IL-10 and IL-2 was performed 3 days later. In DMSO control treated cells, 1.0% of cells expressed IL-10 and 12% expressed IL-2. In contrast, in lenalidomide treated cells, only 0.3% of cells expressed IL-10 and 17% expressed IL-2 (representative of at least 4 independently performed experiments). Similar results were obtained using T cells from a patient with Sezary Syndrome. We next treated SU-DHL-1 cells with DMSO or lenalidomide (0.1, 1.0 and 10 μM) and measured both cell proliferation by 3H-TdR incorporation and IL-10 production by ELISA. Significant inhibition of SU-DHL-1 proliferation was only observed when cells were treated with 10 μM lenalidomide. In contrast, significant inhibition of IL-10 production was observed in the presence of 1 μM and 10 μM lenalidomide (p<.01). Collectively, the data presented demonstrates that GATA-3 promotes the production of IL-10 by malignant T cells and is an adverse prognostic factor in PTCL-U. Given its immunomodulatory properties, including inhibition of IL-10 production, lenalidomide represents a promising therapeutic agent in PTCL-U. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 3931 Poster Board III-867 Extranodal nasal-type Natural Killer/T-cell lymphoma (NKTCL) is a distinct clinicopathologic entity most commonly affecting Asians and Central and South Americans, and characterized by a clonal proliferation of NK or T cells with a cytotoxic phenotype. There is a strong association with Epstein-Barr Virus. The tumor is aggressive with patient usually surviving short duration even with chemotherapy. We performed the first comprehensive genome-wide gene expression profiling (GEP) of extranodal nasal-type Natural Killer/T-cell lymphoma (NKTCL) using formalin-fixed paraffin embedded (FFPE) tissue (n=25) and NK cell lines (n=5) and compared the results to the GEP of normal NK cells using the Illumina DASL whole genome array, with the objective of understanding the oncogenic pathways involved in the pathogenesis of NKTCL and to identify potential therapeutic targets. Quantitative-PCR validation of the GEP findings revealed over-expression of candidate genes BIRC5 (survivin), EZH2 and STMN1 in NK cell lines compared to normal NK cells, consistent with the GEP data. We then extracted a list of genes that are differentially expressed between NKTCL and normal NK cells and tissue controls. We than subjected this list of genes to pathway and network analysis using Metacore. This revealed a significant enrichment for cell cycle related genes and pathways. Furthermore, the network analysis results demonstrated a pro-proliferative and anti-apoptotic phenotype in NKTCL characterized by activation of Myc and nuclear factor kappa B (NF-KB), and deregulation of p53. This was further corroborated using immunohistochemistry on tissue microarray of NKTCL (n=33, including all cases with GEP performed). We observed a significant percentage of NKTCL showing overexpression for c-Myc (45.4%), p53 (87.9%) and NF-KB p50 (67.7%) on immunohistochemistry. Notably, overexpression of survivin was observed in 97% of the cases. Based on our findings, we propose a model of NKTCL pathogenesis where deregulation of p53 together with activation of MYC and NF-KB, possibly driven by EBV LMP-1, result in the cumulative upregulation of survivin. When KHYG and NKYS cell lines were treated with a compound IDR E804 which inhibited survivin, there is significant inhibition of cell growth as assess by MTS assay and induction of apoptosis as measured using Annexin V staining by flow cytometry. This suggests that compounds inhibiting survivin may be a potentially useful novel therapeutic approach in NKTCL. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 633 Background: To date, the only well characterized chromosomal translocations among peripheral T-cell lymphomas (PTCLs) are those involving ALK, which occur in about half of anaplastic large cell lymphomas (ALCLs). ALK-negative ALCLs remain poorly understood, despite morphology and phenotype similar to ALK-positive ALCLs. We recently described translocations near IRF4 on 6p25.3 in cutaneous ALK-negative ALCLs. In the present study, we utilized massively parallel (Next Generation) sequencing to answer three questions about these translocations: (1) Were they recurrent in the more lethal systemic form of ALK-negative ALCL? (2) What was the translocation partner? (3) What were the likely genetic consequences? Methods: We used a mate pair library approach to juxtapose DNA sequences originally lying ~5 kb apart: these paired sequences map to distinct areas of the genome if a translocation breakpoint lies between them. Because only the ends of the original DNA fragments are sequenced, this approach is more resource efficient than whole genome sequencing. Genomic DNA from a systemic ALK-negative ALCL with an uncharacterized 6p25.3 rearrangement was fragmented to 2–5 kb, biotinylated, and separated on an agarose gel. Fragments ~5-5.5 kb were excised, purified, circularized, and further fragmented to ~300-600 bp. Fragments containing biotin (representing the ends of the original 5 kb fragments) were immobilized on streptavidin beads and amplified using the Illumina library protocol. Paired end sequencing was performed on one lane of a flow cell on an Illumina GAIIx. Sequencing data were mapped to the genome using a binary indexing algorithm. Non-mapping and duplicate sequences were discarded. Candidate translocations suggested by >4 unique mate pairs were examined by BLAT to exclude false positives explained by mapping to homologous regions. PCR and Sanger sequencing of tumor DNA was used for validation. Fluorescence in situ hybridization (FISH) was performed on additional PTCLs. mRNA and miRNA expression was quantified using real-time PCR. Results: Of 28.90×106 paired sequences, 8.61×106 were non-duplicate pairs in which both ends mapped to the human genome (bridged coverage, ~7x). Only one candidate translocation involved 6p25.3, represented by 10 unique mate pairs. PCR and Sanger sequencing confirmed a balanced translocation: one breakpoint disrupted the dual-specificity phosphatase gene, DUSP22, telomeric to IRF4 on 6p25.3; the other was telomeric to the FRAH7 fragile site on 7q32.3. Additional ALK-negative ALCLs with known 6p25.3 rearrangements were tested using a 7q32.3 breakapart FISH probe, which showed a 7q32.3 rearrangement in 13/29 (45%; 7 systemic and 6 cutaneous). Dual fusion FISH confirmed t(6;7)(p25.3;q32.3) in 11/11 cases tested. None of 120 PCTLs (including 39 ALCLs) lacking 6p25.3 rearrangements had a 7q32.3 rearrangement. Levels of 5′ and 3′ DUSP22 mRNA in cases with 6p25.3 rearrangements were decreased relative to those in non-rearranged cases (5′: 0.02±0.01 vs 1.00±0.74, p=.002; 3′: 0.09±0.08 vs 1.00±0.55, p=.0002; mean±SD, t test). IRF4 mRNA levels were similar in both groups. Levels of MIR29A and MIR29B1 within FRAH7 in cases with 7q32.3 rearrangements were increased relative to those in non-rearranged cases (MIR29A: 2.44±2.20 vs 1.00±1.34, p=.15; MIR29B: 4.93±4.68 vs 1.00±1.05, p=.007). Conclusions: The t(6;7)(p25.3;q32.3) is the first recurrent translocation characterized in systemic and cutaneous ALK-negative ALCLs. This translocation was entirely specific for ALK-negative ALCLs, and was present in 45% of cases with 6p25.3 rearrangements. The t(6;7)(p25.3;q32.3) was associated with down-regulation of DUSP22 and up-regulation of MIR29, but not dysregulation of IRF4. DUSP22 inhibits mitogen activated protein kinase activity in T cells, and may represent a novel tumor suppressor in ALCLs. Increased MIR29 levels may additionally contribute to tumorigenesis, as recently shown in acute myeloid leukemias. Finally, clinical testing for t(6;7)(p25.3;q32.3) may aid in differentiating ALK-negative ALCL from other PTCLs. Our findings highlight the utility of mate-pair library sequencing to discover novel translocations in lymphoma and other cancers. Disclosures: No relevant conflicts of interest to declare.

Abstract Background IL-10 polarized macrophages promote tumor growth and survival. The T-cell transcription factor GATA binding protein-3 (GATA3) epigenetically regulates IL10 expression. Therefore, we investigated the extent to which GATA-3 regulates IL-10 production and macrophage polarization in T-cell lymphomas. Methods Monocyte-derived macrophages were generated and polarized with T-cell lymphoma conditioned media ((TCL-CM). Immunophenotypic and functional characteristics associated with IL10-polarized macrophages were examined. GATA3-dependent cytokine production was evaluated in T-cell lymphoma lines by shRNA knockdown. Alternatively polarized macrophages and GATA3 expression were examined in a cohort of patients with peripheral T cell lymphoma, not otherwise specified (PTCL, NOS) (n=76). Comparisons among groups were evaluated using a Student's t test. Progression-free and overall survival (PFS & OS) was estimated using the Kaplan-Meier method and two-tailed log-rank test based on Cox proportional hazards model. Results To investigate the ability of T-cell lymphomas to alternatively polarize macrophages, monocytes from healthy donors were cocultured with TCL-CM. Macrophages were shown to have immunophenotypic characteristics of IL10-polarized macrophages (pSTAT3+/CD16hi/CD163hi/HLA-DR-/lo) by flow cytometry, which was abrogated by IL10, but not IL6, neutralization. TCL-CM polarized macrophages produced abundant IL-10 and were impaired in their ability to stimulate T-cell proliferation. Collectively, these results demonstrate that T-cell lymphomas promote alternative macrophage polarization in an IL-10 dependent manner, and both CD163 and pSTAT3 may aid in their identification in clinical T-cell lymphoma specimens. Therefore, CD163+/pSTAT3+ macrophages were visualized by immunofluorescence in PTCL, NOS specimens. IL-10 polarized macrophages were not identified in normal tissues, but were abundant constituents of the tumor microenvironment in 68% of the PTCL, NOS specimens examined (n=31). STAT3 phosphorylation in response to IL-10 is dependent upon the Janus kinases (JAK) JAK1 and TYK2, both of which are inhibited at nanomolar (and clinically achievable) concentrations by the “JAK2” inhibitor ruxolitinib. Therefore, we sought to determine whether ruxolitinib may prevent IL-10-induced macrophage polarization. As expected, ruxolitinib inhibited IL-10-induced STAT3 phosphorylation. More importantly, macrophages polarized in the presence of ruxolitinib lost the immunophenotype characteristics of IL-10 polarized macrophages, and were CD16-/loCD163-/loHLA-DRhi. Furthermore, IL-10 production was significantly impaired in macrophages polarized in the presence of ruxolitinib, while their ability to stimulate T-cell proliferation was significantly increased. In a separate initiative, we identified GATA3 as the key regulator of IL-10 and Th2 cytokine (IL-4, IL-13 and IL-5) expression in T-cell lymphoma lines by shRNA knockdown assays. Therefore, we examined GATA3 expression by immunohistochemistry in PTCL, NOS specimens. GATA-3 expression was observed in most of the T-cell lymphoma lines and in 47% of PTCL, NOS specimens (n=76). In the cohort of the 76 PTCL, NOS patients, the median PFS and OS observed in GATA3+ PTCL, NOS was 5 months (4-8 months, 95% CI) and 8 months (5-14 months, 95% CI), respectively. In contrast, the median PFS and OS in GATA3- PTCL, NOS was 1.3 years (0.6-1.6, 95% CI) and 1.6 years (0.7-6.9 95% CI), respectively. Conclusions Alternatively polarized macrophages are abundant in T-cell lymphomas and are generated in an IL-10- and STAT3-dependent manner. GATA-3 regulates IL-10 production in these lymphomas, and its expression identified a high-risk subset of PTCL, NOS with distinct clinicopathological features. As IL-10-dependent STAT3 phosphorylation and macrophage polarization were impaired by ruxolitinib, the JAK2 inhibitors may warrant closer scrutiny as immunomodulatory agents. Disclosures: Off Label Use: Ruxolitinib, a JAK2 inhibitor, may warrant closer scrutiny as an immunomodulatory agent in TCL therapeutics.

Abstract Background Relatively few studies have evaluated the role of host (germline) genetics in predicting outcome in diffuse large B-cell lymphoma (DLBCL), and of these, most were small candidate gene studies without replication and/or from the pre-R-CHOP era. We report the first genome-wide association study (GWAS) of outcome in DLBCL patients treated with rituximab and anthracycline-based chemotherapy. We used two independent studies for discovery, and validated the results in two additional independent studies. Methods In the discovery phase, we conducted a meta-analysis of two GWAS studies of DLBCL patients treated with rituximab and anthracycline-based chemotherapy, the first study as part of the prospective clinical trials of the LNH2003B program (N=540) of the Lymphoma Study Association (LYSA) and the second as part of the Molecular Epidemiology Resource (N=316), a prospective observational study from the University of Iowa/Mayo Clinic Lymphoma Specialized Program of Research Excellence (SPORE). Genotyping for the GWAS was performed using the Illumina 610 (LYSA) and 660 Quad (SPORE) BeadArrays (Illumina, San Diego, USA). HapMap2 was used to impute additional SNPs. Association testing was conducted assuming a log-additive genetic model and using Cox regression analyses. We calculated the hazard ratios (HRs) and 95% CIs for event-free survival (EFS), with adjustment for age, sex and age-adjusted IPI. The two studies were then combined using the fixed effects inverse variance method based on the beta estimates and standard errors from each study. From the meta-analysis, 89 SNPs were selected for validation, based on a minor allele frequency (MAF) >0.05 and LD pattern for multiple SNPs from the same region. Validation cohorts were an independent set of DLBCL patients from the SPORE (SPORE-2, N=366) and DLBCL patients from the prospective GOELAMS 075 phase III study (N=294), and validation genotyping was conducted using the Illumina VeraCode platform. We then conducted a meta-analysis of the 4 studies. We report SNPs with both a statistical significance of p<5x10-6 and effect sizes in the same direction across the 4 studies in the meta-analysis. For the latter SNPs, we also report the results for overall survival (OS), adjusted for age, sex and age-adjusted IPI. Results In the final meta-analysis of all four studies for the prediction of EFS, the top SNP was rs7765004 (MAF=0.30; HR=1.45; p=9.7 x 10-8) in the 6q21 region, which is near the MARCKS (myristoylated alanine-rich protein kinase C substrate) and HDAC2 genes. MARCKS encodes for a protein involved in cell mobility, while HDAC2 belongs to the histone deacetylase family. Additional SNPs from this region included rs6918103 (MAF=0.25; HR=1.38; p=7.6 x 10-6), which marks an EZH2 histone binding site, and rs11969684 (MAF=0.12; HR=1.43; p=3.3 x 10-5). The next hit was rs7712513 (MAF=0.31; HR=1.40; p=3.2 x 10-7), which is near arginine-fifty homeobox pseudogene 1 (ARGFXP1) on chromosome 5q23.2. This was followed by a region on chromosome 8q13.3, with the SNP rs9298183 (MAF=0.29; HR=1.41; p=1.4 x 10-6) from LOC100132891 showing the strongest association, along with 3 other SNPs from this region (rs2035376, rs6472637, and rs1600797; all p<5 x 10-6). These SNPs are near the musculin gene (MSC) a transcriptional repressor of E2A frequently silenced by promoter methylation in DLBCL. Finally, rs2253986 (MAF=0.27; HR=1.39; p=3.4 x 10-6) at chromosome 16q12.2, along with rs2253971 and rs6499810, were associated with EFS. These SNPs are located in CES5A (carboxylesterase 5A), which encodes a member of the carboxylesterase family. The family members are responsible for the hydrolysis or transesterification of various xenobiotics. The top SNPs associated with EFS also predicted OS, including rs7765004 (HR=1.41; p=1.2 x 10-5), rs7712513 (HR=1.39; p=8.4 x 10-6), rs9298183 (HR=1.36; p=3.5 x 10-5), and rs2253986 (HR=1.35; p=5.2 x 10-5). Conclusions Although our top SNPs on did not reach genome-wide significance (p<5x10-8), they showed clear consistency across the four large prospective studies and predicted both EFS and OS independently of IPI. The strongest findings were from loci on 6q21, 8q13.3, 5q23.2, and 16q12.2, and several genes from these regions are involved in methylation and xenobiotic metabolism, supporting a role for host genetic variation in these pathways in DLBCL prognosis. Disclosures: No relevant conflicts of interest to declare.

Abstract T cell lymphoma (TCL) is a heterogeneous group of malignant lymphomas and is subdivided in three major subgroups, (i) cutaneous (mycosis fungoides (MF), sezary syndrome (SS) and primary CTCL), (ii) nodal (peripheral T-cell lymphoma, PTCL NOS, anaplastic large cell lymphoma (ALCL), angioimmunoblastic (AITL)) (iii) and extranodal. Because of this broad morphological spectrum and immunophenotypic variation the pathogenesis of most of the TCL is poorly understood. Constitutive STAT3 signaling provides growth-promoting signals in many forms of malignancy; however in-vivo activation of phosphorylated STAT3 and its clinical correlation in subtypes of TCLs has not been extensively studied. In this study we examined constitutive STAT3 activation in various subtypes of TCL tumors and performed pre-clinical testing to determine whether STAT3 inhibitors will be effective. First, we assessed the STAT3 activation (pSTAT3Tyr705) by immunohistochemistry (IHC) on a tissue microarray (TMA) from 169 untreated TCL patient samples. Using a cutoff of ≥30% pSTAT3 nuclear staining, 38% (64/169) of TCL tumors were pSTAT3+. Interestingly, pSTAT3 was differentially expressed among the various TCL subgroups. 27% (16/59) PTCL NOS, 29% (11/38) AITL, 93% (14/15) ALK+ ALCL, 57% (13/28) ALK- ALCL, 50% (6/12) extranodal NK/T cell tumors and 17% (1/6) primary cutaneous showed pSTAT3 positivity. Using either a 30% or 80% cut-off, pSTAT3 positivity was associated with inferior event free survival for AITL, PTCL NOS and ALK neg ALCLs TCLs. Due to small sample size within each group statistical significance (p=0.03) was met only for ALK neg ALCL (80% cutoff). Further analysis in the human TCL cell lines and normal control T-cells also revealed differential expression of pSTATs. ALCL cell lines, Karpas 299 and SR786 were pSTAT3 positive but pSTAT5 negative. Both the CTCL (SS) cell lines HuT78 and SeAx were pSTAT3 negative, however MyLa a cell line of MF origin was strongly pSTAT3+ and pSTAT5+. The normal control CD4 T-cells was pSTAT3- and pSTAT5+. These data clearly suggest that pSTAT3 is differentially expressed among the TCL tumors and is a potential therapeutic target. Potential mechanisms for STAT3 activation could be aberrant secretion of cytokines/chemokines produced by the tumor itself or the tumor microenvironment. We compared the cytokine profile of the culture supernatant from pSTAT3 positive SUDHL1 and pSTAT3 negative HuT78 TCL cell lines using a 30-plex ELISA. The most significantly different cytokines among these 2 cell lines were interleukin -10 (IL-10) and soluble interleukin-2 receptor alpha (sIL-2Ra). The SUDHL1 was found to secrete a very high level (1700 pg/ml) of IL-10, in contrast to only 167 pg/mL in the HuT78 supernatant. Moreover, SUDHL1 secretes 3.5 times more sIL-2Ra (6600 pg/ml) than the pSTAT3 negative cell line HuT78 (1800 pg/ml). In-vitro exposure to IL-10 but not sIL-2Ra was able to further upregulate pSTAT3 in SUDHL1 and Karpas 299. Overall, these data suggest that autocrine secretion of IL-10 but not sIL-2Ra is important for STAT3 activation in ALCL TCLs. Next we compared the cytokine profile of 2 pSTAT3 positive cells from different origin; SUDHL1 (ALCL) and MyLa (MF). In contrast to SUDHL1 (which produce high level of IL-10), MyLa was producing very little IL-10 (18pg/ml). The other most significantly different cytokines between these cells was RANTES with MyLa producing a very high level (28897 pg/ml) and SUDHL1 a very low level (8pg/ml). We also noticed differential level of IL-13 between these cells; MyLa producing 113pg/ml while SUDHL1 only 13 pg/ml. SAR302 (Sanofi, Cambridge, MA), a selective JAK2 inhibitor currently in clinical trial for myeloproliferative neoplasms was able to inhibit autocrine secretion of IL-10 but not sIL-2Ra in a dose-dependent manner followed by STAT3 dephosphorylation and decreased lymphoma cell survival. In summary, our data provide first evidence of in-vivo STAT3 activation in AITL, PTCL NOS, ALK negative ALCL TCLs using TMA from patient samples. Comprehensive cytokine analysis determined IL-10 as an autocrine factor driving STAT3 activation in ALCLTCLs, while RANTES and IL-13 might be important drivers for STAT3 activation in MF TCLs. Finally our data provide a mechanistic basis of selecting and targeting TCL tumor cells with high IL-10 levels and/or constitutive STAT3 activity with potent and novel JAK2 inhibitors such as SAR302 or other STAT3 inhibitors. Disclosures: No relevant conflicts of interest to declare.