Wellik, Linda

Abstract Abstract 4125 Background: 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 helper (TH) cells differentiate into effector cells that secrete TH cytokines under the transcriptional regulation of subset-specific transcription factors. Methods: PTCL-U patients (n=53) from a single institution were retrospectively identified and immunohistochemical analysis of Foxp3, T-bet and GATA-3 expression performed on diagnostic biopsy specimens. Immunohistochemical staining was reviewed in a blinded fashion by a hematopathologist and all specimens with greater than 10% staining were scored as positive. Transcription factor expression was correlated with patient characteristics and clinical outcomes. Results: GATA-3 expression was observed in 22 (42%) patients, T-bet expression in 17 (32%) patients and Foxp3 expression in 4 (7%) patients. In order to determine the prognostic significance of GATA-3 or T-bet expression, overall survival was compared between patients with GATA-3 (or T-bet) positive or negative tumors. The median overall survival (OS) was 2 years (95% confidence interval 0.7–12.8 years) for patients with GATA-3 negative tumors, compared with a median OS of 0.9 years (95% confidence interval 0.5–1.2 years, p=0.02) for GATA-3 positive cases. The median overall survival was 1.6 years (95% confidence interval 1.0–6.8 years) for patients with T-bet negative tumors, compared with a median overall survival of 0.7 years (95% confidence interval 0.3–0.9 years, p=0.005) for T-bet positive cases. As a subset of tumors coexpressed GATA-3 and T-bet, both of which are adverse prognostic factors, we examined survival outcomes between those patients with tumors expressing either GATA-3 or T-bet (n=29) and those with tumors which do not express either transcription factor (n=24). The median OS and PFS observed for patients with positive tumors was 0.7 years (95% confidence interval 0.6–1.1 years) and 0.7 years (95% confidence interval 0.5–0.9 years), respectively. In contrast, patients with GATA-3/T-bet negative tumors experienced markedly superior survival, with a median OS and PFS of 3.8 years (95% confidence interval 1.6–12.9 years, p<0.0001) and 2.0 years (95% confidence interval 1.5–12.8 years, p<0.0001), respectively. Four-year estimates of overall and progression-free survival were less than 10% for patients with GATA-3/T-bet positive tumors, whereas 4-year OS and PFS were 49% and 32%, respectively, for those with negative tumors. Both GATA-3 and T-bet expression were associated with advanced age and tumor stage. Therefore, we analyzed GATA-3/T-bet expression as a prognostic factor for survival on both univariate and multivariate analyses, adjusting for pertinent risk factors, including patient age and tumor stage. On univariate analysis, GATA-3/T-bet expression was associated with inferior overall survival (hazard ratio 4.4, 95% confidence interval 2.1–10.4, p<0.0001). Patient age (>60 years), poor performance status (ECOG performance status >1), and stage III/IV disease were also associated with inferior overall survival on univariate analysis. However, when adjusting for these latter adverse prognostic factors on multivariate analysis, GATA-3/T-bet expression remained an independent predictor of poor overall survival in PTCL-U (adjusted hazard ratio 3.2, 95% confidence interval 1.4–8.5, p=0.008). Similarly, when adjusting only for high-risk features (>2 adverse prognostic factors), as defined by the Prognostic Index in PTCL-U (PIT), GATA-3/T-bet expression remained an independent predictor of inferior overall survival on multivariate analysis (adjusted hazard ratio 4.9, 95% confidence interval 2.2–11.5, p<0.0001). Conclusions: GATA-3 and T-bet expression identify subsets of high-risk PTCL-U patients who may benefit from alternative treatment strategies. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 2998 Background: Multiple myeloma remains incurable with current therapies and novel approaches based on disease biology are needed. Inhibitors of apoptosis (IAP) proteins represent a conserved group of proteins that are important regulators of apoptosis. X-linked IAP (XIAP) is the best studied IAP and inhibits pro-apoptotic caspases 3, 7 and 9. Multiple myeloma (MM) cell lines express high levels of XIAP and levels are further increased when stimulated by cytokines IL6 and IGF-1, both secreted in copious amounts in the myeloma microenvironment. IL6 and IGF1 up-regulate XIAP by activating the NF-κB, MAPK and PI3K signaling pathways that are commonly aberrant in MM and other tumors. XIAP mRNA contains an internal ribosomal entry site (IRES) sequence in the 5` untranslated region. IRES sequences enable direct ribosome recruitment and aid in translation that is independent of cap-mediated translation. Thus, molecules like mTOR inhibitors might not lead to XIAP downregulation. This was observed when rapamycin, an mTOR inhibitor, was used on MM cell lines. XIAP protein levels were not reduced due to the IRES sequence which leads to translation that is independent of the 5` cap and 4EBP1. Thus XIAP inhibitors might be able to overcome resistance associated with rapamycin treatment. Methods: LC161 was synthesized by Novartis Inc. (Basel, Switzerland). Stock solutions were made in DMSO, and subsequently diluted in RPMI-1640 medium for use. MM cell lines were cultured in RPMI 1640 containing 10% fetal bovine serum (20% serum for primary patient cells) supplemented with L-Glutamine, penicillin, and streptomycin. Cytotoxicity was measured using the MTT viability assay and proliferation using thymidine uptake. Apoptosis was measured using flow cytometry upon cell staining with Annexin V-FITC and propidium iodide (PI). Immunoblotting was done on cell extracts at various time points following incubation with the drug in order to study the cell signaling pathways. Results: LC161 treatment resulted in a dose and time dependent inhibition of cell growth in the MM cell lines tested. Most of the cytotoxicity was evident by 72 hours, with minimal increase seen up to 96 hours of incubation. At 72 hours of incubation, the median inhibitory concentration varied considerably between various cell lines with an IC50 range of 2.5–25μ M. The IC50s were maintained when the cells were treated in co-culture with stromal cells or in the presence of IL6, IGF or VEGF. Dose-dependent decrease in proliferation of the cell lines was evidenced by decreased thymidine incorporation. Apoptotic changes in cells following drug treatment was confirmed by flow cytometry for Annexin and PI. Cleavage of caspases 3, 8 and 9 were confirmed on flow cytometry. Primary myeloma cells from patients were treated with increasing doses of the drug and dose dependent increase in apoptosis was observed. Immunoblotting studies demonstrated dose dependent significant down regulation of Xiap, cIAP1, cIAP2 and surviving and up-regulation of activated caspases 3, 8 and 9 and PARP. Furthermore, LC161 resulted in down regulation of pAkt, canonical and non-canonical NF-κB, pJNK, p-p38MAPK, c-Myc, Bcl-xL and Mcl1 and up-regulation of pErk and Bcl-2. We are currently examining basal levels of expression of the IAP proteins (Xiap, cIAP1 and cIAP2), pAkt and pErk in various MM cell lines to identify marker proteins that might predict response to this class of drug. In addition, our initial studies of LC161 in combination with the proteasome inhibitor bortezomib demonstrated synergy in killing MM cells in vitro. Additional combinations including inhibitors of the Akt/mTOR pathway and MEK/Erk pathway are currently been done. Conclusion: These studies demonstrate significant in vitro activity of LC161 in MM. Our results suggest the presence of two populations one very sensitive to IAP inhibition and one relatively less sensitive. Our current studies will help identify marker proteins that might predict response to LC161 treatment. We are currently testing LC261 in combination with known inhibitors of the other important signaling pathways implicated in MM disease biology as well as in-vivo experiments in mouse models. Performing these experiments will further validate the efficacy of LC161 as an anti-MM agent and form the basis for it to be taken up for clinical evaluation either as a single agent or in combination with other agent(s). Disclosures: Kumar: Celgene: Consultancy, Research Funding; Millennium: Research Funding; Merck: Consultancy, Research Funding; Novartis: Research Funding; Genzyme: Consultancy, Research Funding; Cephalon: Research Funding.

Abstract Abstract 2848 Poster Board II-824 Background: Multiple myeloma remains incurable with current therapies and novel approaches based on disease biology are needed. IL-6 is a critical cytokine involved in myeloma cell proliferation and survival and exerts its activity primarily through the JAK/STAT pathway. In addition to IL6, other cytokines are also believed to cross talk with the JAK/STAT pathway, making it a crucial interface for survival signals. It has been implicated in myeloma cell interaction with the microenvironment and resistance to apoptotic stimuli from different drugs, and represents a potential therapeutic target. We examined the pre-clinical activity of a novel JAK2 tyrosine kinase inhibitor TG101209. Methods: TG101209 (N-tert-butyl-3-(5-methyl-2-[4-(4-methyl-piperazin-1-yl)-phenylamino]-pyrimidin-4-ylamino)-benzenesulfonamide) was synthesized by TargeGen Inc. (San Diego, CA, USA). Stock solutions were made in DMSO, and subsequently diluted in RPMI-1640 medium for use. MM cell lines were cultured in RPMI 1640 containing 10% fetal bovine serum (20% serum for primary patient cells) supplemented with L-Glutamine, penicillin, and streptomycin. Cytotoxicity was measured using the MTT viability assay and proliferation using thymidine uptake. Apoptosis was measured using flow cytometry upon cell staining with Annexin V-FITC and propidium iodide (PI) for cell lines and using Apo2.7 in primary patient cells. CD45 expression was estimated using flow cytometry and cells were gated by their CD45 expression to assess differential effects of the drug. Immunoblotting was done on cell extracts at various time points following incubation with the drug in order to study the cell signaling pathways. Results: TG101209 resulted in a dose and time dependent inhibition of cell growth in the MM cell lines tested. Most of the cytotoxicity was evident by 48 hours, with minimal increase seen up to 96 hours of incubation. At 48 hours of incubation, the median inhibitory concentration was between 2 and 4uM with similar IC50 seen for myeloma cell lines sensitive or resistant to conventional therapies. The IC50s were maintained when the cells were treated in co-culture with stromal cells or in the presence of IL6, IGF or VEGF. Increasing doses of IL6 was not able to rescue the cells from the drug. Dose dependent decrease in proliferation of the cell lines was evidenced by decreased thymidine incorporation. Apoptotic changes in cells following drug treatment was confirmed by flow cytometry for Annexin and PI. Cleavage of caspases 3, 8 and 9 were confirmed on flow cytometry. Addition of the pan-caspase inhibitor zvad-fmk did not prevent drug-induced apoptosis confirming non-caspase mediated mechanisms of cell death as well. Primary myeloma cells from several patients were treated with increasing doses of the drug and IC50 similar to cell lines were seen in 8/10 patient samples tested. Interestingly, evaluation of U266 cell lines, which have a mix of CD45+ and negative cells as well as primary patient cells demonstrated more profound cytotoxicity and anti-proliferative activity of the drug on the CD45+ population relative to the CD45- cells. Immunoblotting studies demonstrated significant down regulation of IL-6 induced pSTAT3 with minor effects on the pERK and pAkt. The effect on pSAT3 was sustained compared to that on pERK and pAkt. This was accompanied by significant down regulation of Bcl-xL. Studies in a mouse model of myeloma are planned. Conclusion: These studies demonstrate significant in-vitro activity of JAK2 inhibition in multiple myeloma. In particular, the preferential targeting of CD45 cells, considered to reflect the proliferative compartment in myeloma holds out the promise for more sustained impact on the disease from a therapeutic standpoint. This is likely explained by the increased sensitivity of the CD45 cells to cytokines as a result of higher expression of different cytokine receptors as has been previously shown. This leads to increased activity of and dependence of the cells on the JAK-STAT pathway and likely explains the increased effect of the pathway inhibition. These studies form the framework for clinical evaluation of the drug in the setting of myeloma. Disclosures: Kumar: CELGENE: Research Funding; MILLENNIUM: Research Funding; BAYER: Research Funding; GENZYME: Research Funding; NOVARTIS: Research Funding.

Abstract Background: Epigallocatechin-3-gallate (EGCG) is a polyphenol extracted from green tea that has been studied for cancer prevention and treatment. Green tea and its extracts have been an integral part of traditional medicines from Asia and are thought to have considerable medicinal value. EGCG has been studied in many tumor types and in vitro studies have been encouraging. It is currently in Phase I/II clinical trial in the treatment of chronic lymphocytic leukemia. Here we examined the activity of EGCG in the setting of myeloma and its potential mechanisms of action. Methods: MM cell lines were cultured in RPMI 1640 containing 10% fetal bovine serum supplemented with L-Glutamine, penicillin, and streptomycin. The KAS-6/1 cell line was also supplemented with 1 ng/ml IL-6. Cytotoxicity of EGCG was measured using the MTT viability assay. Apoptosis was measured using flow cytometry upon cell staining with Annexin V-FITC and propidium iodide (PI). Fresh myeloma cells were obtained from bone marrow aspirates and subjected to ACK lysis to remove red cells. These cells were cultured in RPMI1640 with or with out EGCG and apoptotic rates were determined by Apo 2.7 expression on gated plasma cells. Flow cytometry was used for determining the phosphorylation state of various signaling proteins. Anti-angiogenic activity of EGCG was measured using a human in vitro angiogenesis kit (Angiokit). Results: EGCG treatment of myeloma cell lines resulted in dose- and time-dependent cytotoxicity to the cells. EGCG was cytotoxic to several myeloma cell lines, including IL-6 dependent cell lines KAS-6/1 and ANBL-6 as well as drug resistant cell lines MM1.R, Dox40 and LR5. The effect was maintained when the cells were grown in co-culture with marrow stromal cells, indicating the ability to overcome microenvironment mediated resistance. EGCG induced apoptosis of myeloma cell lines, apoptotic cells being measured as Annexin (+)/PI (−) cells by flow cytometry. It induced a dose-dependent apoptosis of freshly isolated myeloma cells with increased effect seen on the CD45+ myeloma cells compared to CD45- cells, reflecting increased activity on the proliferative fraction. Down regulation of Akt phosphorylation was seen following treatment of myeloma cells with EGCG. Using the Angiokit, we were able to demonstrate inhibition of tubule formation by EGCG at concentrations lower than those cytotoxic to myeloma cells. It was also able to overcome the angiogenic activity of VEGF. Conclusion: We demonstrate potent anti-myeloma activity of EGCG in vitro. In vivo studies in animal models of myeloma are ongoing. We demonstrate, as in other cell lines, inhibition of Akt pathways as a potential mechanism of action of EGCG. Ongoing studies are exploring other mechanisms. Most importantly, we demonstrate anti-angiogenic activity of this compound in the setting of myeloma, a finding in concordance with the inhibition of VEGF activity seen with other tumor systems.

Abstract Background: Multiple myeloma remains incurable with current approaches and newer therapies are needed to improve the outcome of these patients. While monoclonal antibody based therapies have been successful in some of the hematological malignancies, such approaches have had limited efficacy in the setting of myeloma. Thymoglobulin (polyclonal rabbit antithymocyte globulin, Genzyme) (Thymo) has been extensively evaluated in the setting of allogeneic blood and marrow transplantation and solid organ transplants. Given the polyclonal nature of this product, with antibodies against different B cell antigens, we evaluated the in vitro and in vivo activity of Thymo in myeloma. Methods: MM cell lines were cultured in RPMI 1640 containing 10% fetal bovine serum supplemented with L-Glutamine, penicillin, and streptomycin. The KAS-6/1 cell line was also supplemented with 1 ng/ml IL-6. Cytotoxicity following drug treatment was measured using the MTT viability assay. Apoptosis was measured by flow cytometry using Annexin V/PI in cell lines and Apo 2.7 in primary patient plasma cells. Shifts in expression of a variety of different B cell and plasma cell antigens were examined on several different myeloma cell lines following Thymo treatment in order to identify the potential antigenic targets. In vivo activity of thymo was evaluated in a SCID plasmacytoma model injected with RPMI myeloma cell lines. Results: rATG was cytotoxic in vitro to several MM cell lines (RPMI 8226, U266, OPM1, OPM2) including the IL-6 dependent cell line Kas6/1 with LC50 of around 1 mg/mL. Additionally, thymo was cytotoxic MM cell lines resistant to conventional agents such as doxorubicin (Dox40), melphalan (LR5) and dexamethasone (MM1R). Thymo induced apoptosis in MM cell lines and in patient derived primary myeloma cells. When tested in combination with other anti-myeloma agents an additive effect was seen with doxorubicin, PS341 and melphalan. Using competitive flow cytometry, we identified CD138, CD38, Cd45, CD126, CD49d (VLA4), as well as CD20 as antigens likely to be targeted by Thymo. Tumor bearing mice injected with Thymo at two different doses (5 mg/kg and 10 mg/kg for five days) had significantly delayed tumor growth compared to non-injected mice, and this translated into a better survival for these mice. Mice receiving 10 mg/kg dose had a slower tumor growth compared to 5 mg/kg dose (Figure). Conclusions: Thymoglobulin has promising in vitro and in vivo activity in the setting of myeloma. These studies will provide the rational for future clinical development of this agent in myeloma alone or in combination with other agents. Based on these results, we are in the process of initiating a clinical trial combining Thymo with Melphalan. Figure Figure

Abstract Abstract 1575 We recently demonstrated in a phase II study that the anti-CD22 monoclonal antibody epratuzumab added to RCHOP improved DLBCL survival parameters. Despite these advances, 30–40% of DLBCL patients still relapse and die of disease. Recent advances have led to the identification of a variety of intracellular oncogenic pathways as potential targets for lymphoma therapy. Specifically, many studies have found that activation of the Signal transducer and activator of transcription 3 (STAT3) pathway promotes tumor cell survival in various types of cancers. STAT3 is a transcription factor and exerts its anti-apoptototic effect through several downstream targets such as MYC. MYC protein can be expressed in lymphoma cells with or without the presence of MYC translocation. The frequency of phosphorylated STAT3 (pSTAT3) and MYC expression and their prognostic relevance are unknown within diffuse large B-cell lymphoma (DLBCL), germinal center B-cell (GCB) and non-GCB subtypes. This study studied the tumor cell expression of pSTAT3 and MYC by IHC paired with serum cytokine levels in a DLBCL patient population uniformly treated on N0489. DLBCL tumor samples (n=38) were stained for detection of nuclear pSTAT3 expression. Using a threshold of ≥30% of tumor nuclei staining positive, 35 % (14/40) of tumors were pSTAT3+. An additional 17% (7/40) had between 10–30% pSTAT3+ cells. Non-malignant tonsil tissues (n=10) were positive for tSTAT3 in all cases but all but one case were pSTAT3 negative. Twenty-four of the same DLBCL tumors used for pSTAT3 expression were stained for MYC and 50% (12/24) were MYC positive (all nuclear) as defined by the criteria of ≥30% of cells staining positive. In cases (n=23) where both MYC and pSTAT3 IHC were performed, a positive pSTAT3 was more likely to have MYC expression whereas a positive MYC stain did not inform pSTAT3. By using a break apart probe for the MYC gene, MYC translocations in the major breakpoint regions were found in 10% (3/29) of cases. When MYC FISH was correlated with MYC IHC in the 24 DLBCL cases that had both techniques performed, all 3 MYC translocation cases were GCB by IHC, two were strongly positive for MYC by IHC, and 1 was negative. Among the 21 MYC FISH negative cases, 10 were MYC positive by IHC. These data suggest that MYC expression in lymphoma is not only controlled by genetic events such as translocations but also by other signaling pathways such as STAT3. pSTAT3 expression was correlated with an elevated serum LDH (p=0.0007). Neither MYC or pSTAT3 tumor expression correlated with other clinical or pathological features. Survival analysis revealed a trend toward shorter EFS for DLBCL patients whose tumors expressed MYC protein by IHC (p=0.2) or had a MYC translocation (p=0.09) by FISH; pSTAT3 expression status did not predict EFS (p=0.9). Within the GCB group 10 cases were MYC negative (10/17; 59%) and 7 cases were MYC positive (7/17; 41%). Among the non-GCB group 83% (5/6) were MYC positive. These data clearly suggest a trend of higher MYC positivity in the non-GCB DLBCL group (p=0.07). MYC positive cases had a clear trend of inferior EFS in both GCB (p=0.2) and in non-GCB (p=0.5) groups. The distribution of pSTAT3 (n=38) expression was also evaluated in the GCB (n=26) and non-GCB (n=12) DLBCL. In the GCB group 27% (7/26) were pSTAT3 positive compared to 58% (7/12) in the non-GCB group. Thus, there was a clear trend toward higher pSTAT3 positivity in non-GCB DLBCL tumors (p=0.06); however, pSTAT3 status did not correlate with EFS in either GCB or non-GCB DLBCL patients. In the present study we correlated pretreatment serum cytokines levels of these patients with pSTAT3 and MYC tumor cell expression. Out of the 30 cytokines tested, the only pre-treatment cytokines that were significantly correlated with pSTAT3 expression were IL-10 (p=0.05), G-CSF (p=0.03) and TNFa (p=0.04); none were correlated with MYC expression. Overall, our data provide evidence that over-expression of pSTAT3 and MYC is common in DLBCL. These biomarkers have potential as prognostic factors in the case of MYC and as a tool for selecting therapy for pSTAT3. MYC may be especially useful to further identify an adverse group of DLBCL patients within the otherwise favorable GCB tumor group. The availability of JAK/STAT and STAT-specific inhibitors provides the rationale to incorporate pSTAT3 staining in tumors from patients who are participating in these trials to learn if this biomarker can predict response Disclosures: No relevant conflicts of interest to declare.

Abstract Epigenetic silencing of tumor-suppressor genes has potential therapeutic relevance if the diagnostic and prognostic utility of particular DNA methylation patterns could be established. SHP1 is a tumor-suppressor gene that can be downregulated in various neoplasms. The aims of this study are (i) whether SHP1 was lost/ suppressed in diffuse large B cell lymphoma (DLBCL) (ii) Understanding the role of various epigenetic mechanisms including CpG hypermethylation and histone modifications in SHP1 loss, and (iii) whether SHP1 in DLBCL can be re-expressed with epigenetic therapy. We initially analyzed SHP1 mRNA expression in DLBCL (n=9) patient specimens and normal B-cells by QRT-PCR. Decreased expression of SHP1 mRNA was observed in all the DLBCL patient samples as compared to normal B cells. DLBCL tumor samples (n=37) along with normal tonsils (n=10) were stained for SHP1 protein by immunohistochemistry (IHC). SHP1 expression was lost or suppressed in 53% of DLBCL tumors compared to normal controls. These data, when taken together, confirm that SHP1 is strongly expressed in normal B-cells and can be lost or suppressed in DLBCL tumors. We performed epigenetic studies of SHP1 CpG promoter 2 (named CPG1 P2) in 37 DLBCL tumors and 6 DLBCL cell lines by methylation specific (MSP1) PCR and pyrosequencing methods. Surprisingly, SHP1 CpG1 P2 hypermethylation (0/37) was not detected in patient samples or cell lines by both methods. Our data conclusively demonstrate that SHP1 CpG1 P2 hypermethylation is absent in DLBCL tumors. The finding that SHP1 was lost or silenced in many of the clinical samples without finding any CpG1 P2 hypermethylation led us to extend our methylation studies to a novel, more proximal CpG island within P2 (named CpG2) that has not been previously studied in any hematological malignancies. We designed the primers specific for these CpG2 sites and ran the pyrosequencing on the same 37 DLBCL tumors as used above for CpG1 methylation. Using a cut off of >25% (intermediate to high methylation) 57% (21/37) of patient samples were methylated. The Ly3, Ly10, and DHL2 DLBCL cell lines were also hypermethylated at CpG2. To confirm the role of CpG2 methylation in SHP1 expression, we treated the Ly3 and DHL2 cells with the DNA methyltransferase inhibitor, 5-Azacytidine (Aza). We observed increased SHP1 expression compared to untreated control cells in Ly3 and DHL2 cells followed by a progressive demethylation of SHP1 CpG2, as shown by positive U-MSP with increasing amplification intensity. This resulted in a corresponding down-regulation of activated STAT3 in a similar time dependent manner. Treatment of Ly3 and DHL2 cells with 5-Aza for 0-6 days significantly (p=0.0008 for Ly3 and p=0.03 for DHL2) reduced the cell survival (40% decrease at day 6). To further investigate epigenetic control of SHP1 in DLBCL, we proceeded to study whether histone modifications in the SHP1 promoter were involved in the regulation of SHP1 expression. Chromatin immunoprecipitation assays were performed in the Ly3, Raji cell line and normal B cells, by using antibodies to repressing marks on histones. We observed that the SHP1 promoter in the Ly3 and Raji cells was enriched for both H3K9me3 and H3K27me3 repressing marks as compared to normal B cells. To confirm the role of histone modifications in SHP1 expression, we treated Ly3 cells with the histone methyltransferase inhibitor (HMT) DZNEP and the HDAC inhibitor LBH589 (Novartis Pharmaceuticals). DZNEP has been shown to be very specific for histone suppressive marks H3K27me3 that are mediated through EZH2. Treatment with DZNEP partially reverted the H3K27me3 histone marks in the SHP1 promoter followed by increased the SHP1 expression in Ly3 cells. LBH589 treatment was not able to inhibit H3K27me3 marks, but was able to inhibit the CpG2 methylation within the SHP1 promoter 2 alone or in combination with 5- Aza. In conclusion, these data provide a comprehensive characterization of the epigenetic mechanisms leading to SHP1 deregulation in the DLBCL tumors. These findings support the notion that control of SHP1 P2 in DLBCL tumors is associated with both DNA promoter methylation and histone methylation, which explains our results that treatment with 5-Aza, DZNEP and LBH589 could reactivate SHP1 expression and inhibit DLBCL cell survival. Therefore, SHP1 may prove useful diagnostic and prognostic marker and provide a rationale to use epigenetic therapy for patients with DLBCL. Disclosures: No relevant conflicts of interest to declare.

Abstract Blood cytokine elevations have been associated with non-Hodgkin's lymphoma (NHL) such as follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL). Although other types of NHL have been studied, to our knowledge, cytokine deregulation in mantle cell lymphoma (MCL) has not been comprehensively studied. In this study, we studied cytokine levels in untreated and relapsed MCL patients using a multiplex assay to determine the role of dysregulated cytokines in these patients and study any prognostic relevance that could be drawn from their effect on relapse and survival. Samples from two data sets of MCL patients were used for this study. The first dataset was pre-treatment serum samples from newly-diagnosed patients with MCL (n=88) from the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource. The second dataset included pre-treatment plasma samples from relapsed MCL patients (n=20) treated on the MC0048G clinical trial studying the effect of everolimus in lymphoma patients. In addition, unrelated controls from a case-control study of lymphoma were included (n=15 serum, n=24 plasma). Thirty cytokines were assessed using a multiplex ELISA. Differences between cytokines in cases and controls were assessed using Wilcoxon rank-sum tests; associations between cytokines and event-free survival were assessed using Kaplan-Meier curves and Cox proportional hazards models. In the newly diagnosed MCL patients, IL-10 (p<0.0001), IL-1RA (p=0.001), IL-6 (p= 0.04), sIL-2Rα (p=0.005), and MIG (p=0.002) were elevated compared to normal controls. The only significantly elevated cytokine in the recurrent MCL cases compared to controls was sIL-2Rα (p= 0.0006). High levels (above median) of sIL-2Rα levels were associated with inferior event-free-survival (EFS) in both newly diagnosed (HR=2.61 (95% CI: 1.41-4.81, p= 0.0022) and relapsed MCL (HR=2.90, 95% CI: 1.08-7.80, p=0.035) patients; this remained significant after adjusting for MIPI (p=0.01 and 0.03, respectively). Moreover, in the relapsed MCL group eotaxin (p< 0.0001), IL-12 (p< 0.0001), and MCP-1 (p= 0.0002) were suppressed compared to normal controls. We hypothesized that STAT3 (pSTAT3) in MCL cells might be the possible cause behind IL-12 suppression. Indeed, 12/13 MCL samples from IL-12-suppressed relapsed MCL patients were pSTAT3+. When studying the association between cytokine levels and clinical characteristics in both untreated and relapsed MCL groups, sIL-2R was significantly associated with the MIPI score in both untreated (p<0.0001) and relapsed (p=0.007) MCL groups; and with performance status (p=0.005), lymphoma stage (p=0.004), and B symptoms (p=0.006) in the newly diagnosed MCL group.Figure 1Event-free survival of patients with untreated and relapsed MCL by sIL-2R levels.Figure 1. Event-free survival of patients with untreated and relapsed MCL by sIL-2R levels. Our study shows that cytokines are deregulated in both untreated and relapsed MCL patients. It emphasizes on the importance of sIL-2R in its association with negative clinical parameters and worse prognosis in MCL. These findings gives the rational for using sIL-2R along with MIPI and other parameters in predicting prognosis and further to monitor response in MCL. Furthermore, we showed that IL-12 is suppressed in relapsed MCL group and that pSTAT3 expression is a possible mechanism behind this suppression. Further studies are needed to investigate the effect of drugs that suppress pSTAT3 expression in IL-12 suppressed MCLs and disease progression in relapsed MCL patients. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 115 Patients with diffuse large B- cell lymphoma (DLBCL) tumors that have an activated B-cell like (ABC) gene expression profile have a poorer prognosis. Understanding the mechanism(s) used by ABC tumor cells to resist the effects of common chemotherapy agents may lead to alternative approaches for the treatment of these tumors. ABC cell lines have been shown to have high levels of phosphorylated STAT3 (pSTAT3); however, the mechanisms that regulate STAT3 signaling in ABC DLBCL remain unclear. Histone deacetylases (HDACs) are enzymes that can deacetylate both non-histone and histone substrates. In this study we tested the hypothesis that HDACs in the tumor cells target a non-histone protein STAT3 in ABC DLBCL. In studies of HDAC expression in DLBCL tumors, we found over-expression of the type 1 HDACs, specifically HDAC1and HDAC3, in the pSTAT3- positive ABC tumors as compared to germinal centre B like (GCB) tumors. We then performed a co-immunoprecipitation (Co-IP) assay to learn the functional interaction between STAT3 and HDAC1. We found that STAT3 formed complexes with HDAC1 or HDAC3. Further Co-IP studies demonstrated that p300, a histone acetyltransferase (HAT), STAT3, and HDAC1 are all in the same complex. To determine whether p300 acetylates STAT3 in ABC cells, we immuno-precipitated endogenous p300 and blotted with acetylated STAT3 and showed that p300 acetylates STAT3 at lysine 685. We next tested whether HDAC inhibition could affect p300 mediated STAT3 acetylation in ABC cells. Inhibition of HDAC activity through the HDAC inhibitor LBH589 (LBH, Novartis Pharmaceuticals) increased STAT3 acetylation in a dose- dependent manner. Similar results were obtained when we used antiacetyl- lysine antibody. Furthermore HDAC1 over-expression inhibits STAT3 acetylation at lysine 685. This data implies a tight regulation of STAT3 acetylation and deacetylases in vivo in ABC lymphoma. In addition to acetylation, STAT3 can be modified by phosphorylation, thus the effect of HDAC inhibition on pSTAT3 both at serine and tyrosine residues was studied. We observed a dose-dependent decrease in pSTAT3 with some inhibitory effect on total STAT3. LBH was found to mediate STAT3 dephosphorylation by inhibiting the tyrosine phosphorylation of JAK2 and TYK2, the STAT3 upstream activators, in a dose- dependent manner. Since ABC lymphoma has higher levels of HDAC1 or HDAC3 and pSTAT3/STAT3 than GCB, we hypothesized that ABC cells will be more sensitive to HDAC inhibition than GCB. In fact, when ABC and GCB DLBCL cells were treated with LBH we observed that LBH was more cytotoxic to ABC than GCB as evidenced by annexin/PI staining and PARP cleavage. LD90 was 25 nM for ABC cells, however GCB cells required 5 times more LBH to kill 90% cells. STAT3 activation regulates genes involved in cell survival, including Bcl-2, Mcl-1, Bcl-XL, and c-Myc. LBH treatment resulted in down-regulation of Mcl-1 and c-Myc in ABC cells but has no effect in GCB cells; however, Bcl-2 and Bcl-XL levels were not decreased in both the subtype. Having established that HDAC1 physically associated with STAT3 and that LBH treatment elevated STAT3 acetylation in ABC cells, we proceeded to deplete endogenous HDAC1 with siRNA in Ly3 cells and found that HDAC1 knockdown up-regulated STAT3 acetylation indicating that HDAC1 negatively regulates the acetylation in vivo. HDAC1 inhibition also prevented phopshorylation of STAT3 and induces aopotosis in ABC cells. In summary, we have demonstrated that a key consequence of HATs and HDACs expression and activity is modulation of the STAT3 pathway in ABC lymphoma. Inhibition of this pathway with the HDAC inhibitor LBH inhibits constitutive STAT3 signaling and induces Mcl-1 mediated apoptosis. These studies provide the rationale for targeting the poorly responsive ABC-type DLBCL by inhibiting HDAC activity with epigenetic inhibitors such as LBH. We are currently testing LBH589 in relapsed DLBCL in a phase I clinical trial. Disclosures: No relevant conflicts of interest to declare.

Abstract Targeting the B-cell receptor and phosphatidylinositol 3-kinase/mTOR signaling pathways has shown meaningful, but incomplete, antitumor activity in lymphoma. Glycogen synthase kinase 3 (GSK3) α and β are 2 homologous and functionally overlapping serine/threonine kinases that phosphorylate multiple protein substrates in several key signaling pathways. To date, no agent targeting GSK3 has been approved for lymphoma therapy. We show that lymphoma cells abundantly express GSK3α and GSK3β compared with normal B and T lymphocytes at the messenger RNA and protein levels. Utilizing a new GSK3 inhibitor 9-ING-41 and by genetic deletion of GSK3α and GSK3β genes using CRISPR/CAS9 knockout, GSK3 was demonstrated to be functionally important to lymphoma cell growth and proliferation. GSK3β binds to centrosomes and microtubules, and lymphoma cells treated with 9-ING-41 become arrested in mitotic prophase, supporting the notion that GSK3β is necessary for the progression of mitosis. By analyzing recently published RNA sequencing data on 234 diffuse large B-cell lymphoma patients, we found that higher expression of GSK3α or GSK3β correlates well with shorter overall survival. These data provide rationale for testing GSK3 inhibitors in lymphoma patient trials.