Wilcox, Ryan A.

Background: PCGTCL is a rare disorder, accounting for < 1% of all lymphomas. In part given the rarity, timely and accurate diagnosis (dx) remains challenging. Moreover, PCGTCL is typically characterized by a highly aggressive course. We conducted a multi-institutional, retrospective analysis to delineate pathology, patient (pt) characteristics, treatment patterns & outcomes of PCGDTCL in the modern era. Methods: We collected detailed information on pts with PCGDTCL dx between 2000 - 2017 across 10 academic centers. Pathologic data, including IHC & flow characteristics on de-identified pathology reports, were reviewed centrally by an expert dermatopathologist (MP). A pathologic tier was assigned to each case based on fidelity to the following pre-defined minimum criteria: flow cytometric evidence of gamma and/or delta protein-expressing lymphoma or histopathologic evidence of gamma and/or delta protein expression & at least 50% atypical lymphocytes positive for gamma/delta immunostain (IHC) with tissue representative of entire lesion. The presence of >25% CD30 positivity of malignant lymphocytes was an exclusion criterion. Further, PCR evidence of TCR gamma monoclonality or TCR beta/betaF1 negativity alone were inadequate for inclusion with confirmation of gamma/delta phenotype (especially IHC) being key for inclusion. A clinical tier was also assigned to each case based on group consensus. A composite score was derived by combining pathologic & clinical tiers, with those fitting a pre-determined score threshold included in the primary analysis. Univariate (UVA) associations were derived via Cox model for associations with survival. Results: Collectively, all centers submitted a total of 80 cases that were dx & treated locally as PCGDTCL. 48 (60%) cases met pre-defined criteria for inclusion of bona fide dx of PCGTCL. 26 (33%) cases had insufficient composite scores and were grouped in a 2nd tier & 6 cases had incomplete follow-up data and were unsuitable for analysis. The most common reason for placement in the 2nd tier was negativity for gamma/delta IHC or lack of documentation of such testing (n=16). Among the top tier of 48 veritable cases, 32 pts (67%) were male, 39 (81%) white & 4 (8%) black. Median age was 62 years (range 20-88). 19 (40%) pts had B symptoms at dx; ECOG performance status (PS) 0 in 12 pts (25%) & 1-3 in 22 cases (45%) (unknown 29%); anemia was present in 21 pts (44%) & LDH increased in 22 (46%). Bone marrow was involved in only 3 pts (6%) & hemophagocytic syndrome was present at dx in 6 pts (12%). Frontline therapy was heterogeneous (Table 1) with the most common therapies being bexarotene alone in 8 pts; UV therapy in 6 pts; and CHOP in 4 pts. Furthermore, there was inclusion of etoposide in 12 pts (25%), anthracyclines in 9 (19%) & platinum agents in 3 pts (6%). The overall response to 1st line therapy was 40% (19% complete response) with stable disease in 10%, progression in 35% & unknown in 15%. Seven pts (15%) received consolidative stem cell transplantation (SCT), which was allogeneic in all but 1 case. The 2-year PFS for the 48 bona fide pts was 39% (95% CI 0.26-0.59) (Fig 1A) & 2-year OS was 36% (95% CI 0.23-.56) (Fig 1B). The 26 cases in the 2nd tier had overall similar 2-year PFS of 41% (95% CI 0.15-67) and OS of 37% (95% CI 0.22-0.62). In terms of impact of therapy, use of consolidative SCT in 1st remission was associated with improved survival (P=0.02) (Fig 1C). No other therapeutic variable had significance. In UVA for baseline factors, PS (P=0.006) (Fig 1D) and increased vs. normal LDH (P=0.05) were significantly associated with OS. Median OS for pts with normal LDH was 25 months vs 12 months with increased LDH. Median OS for pts with ECOG PS 0 was not reached vs approximately 14 months for ECOG PS 1-3. Conclusions: To the best of our knowledge, this series represents one of the largest reported to date of PCGDTCL. Accurate diagnosis and classification of PCGDTCL need ongoing analysis and delineation. Using strict criteria, only 60% of cases across 10 academic centers were confirmed as bona fide PCGDTCL. Analysis of these pts treated in the modern era demonstrated modest survival. In addition, we identified several prognostic factors, in particular LDH and ECOG PS, associated with patient outcome. Furthermore, the incorporation of allogeneic SCT in 1st remission may contribute to improved long-term survival. Enhanced treatment options and continued collaboration are critically needed in this rare disease. Disclosures Bennani: Adicet Bio: Other: Advisory board; Adicet Bio: Other: Advisory board; Adicet Bio: Other: Advisory board; Kite Pharma: Other: Advisory board; Purdue Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Purdue Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Kite Pharma: Other: Advisory board; Kite Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board. Landsburg:Takeda: Research Funding; Takeda: Research Funding; Triphase: Research Funding; Seattle Genetics: Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Triphase: Research Funding; Curis, INC: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Speakers Bureau; Curis, INC: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Haun:Karger, Inc.: Other: Royalties: Textbook. William:Techspert: Consultancy; Guidepoint Global: Consultancy; Defined Health: Consultancy; Celgene Corporation: Consultancy; Kyowa Kirin, Inc.: Consultancy. Mehta-Shah:Kiowa Hakka Kirin: Consultancy; Celgene: Research Funding; Roche/Genentech: Research Funding; Bristol Myers Squibb: Research Funding; Verastem Pharmaceuticals: Research Funding; Innate Pharmaceuticals: Research Funding. Wilcox:Bristol-Myers Squibb: Research Funding; Millenium/Takeda: Research Funding; CTI Biopharma: Research Funding; Incyte: Research Funding. Feldman:AbbVie: Honoraria, Other: Travel expenses, Speakers Bureau; Seattle Genetics: Consultancy, Honoraria, Other: Travel expenses, Speakers Bureau; Eisai: Research Funding; Kyowa Hakko Kirin: Research Funding; Celgene: Honoraria, Research Funding, Speakers Bureau; Takeda: Honoraria, Speakers Bureau; Pfizer: Research Funding; Portola Pharma: Research Funding; Roche: Research Funding; Trillium: Research Funding; Viracta: Research Funding; Roche: Research Funding; Pharmacyclics: Honoraria, Other: Travel expenses, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Cell Medica: Research Funding; Amgen: Research Funding; Bayer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Honoraria, Other: Travel expenses, Speakers Bureau; Corvus: Research Funding. Evens:Tesaro: Research Funding; Pharmacyclics: Consultancy, Honoraria; Epizyme: Consultancy, Honoraria; Verastem: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria, Research Funding. Horwitz:Affimed: Consultancy; Mundipharma: Consultancy; Forty-Seven: Research Funding; Astex: Consultancy; Aileron: Research Funding; Kyowa Hakko Kirin: Consultancy; Infinity/Verastem: Consultancy, Research Funding; Mundipharma: Consultancy; Seattle Genetics: Consultancy, Research Funding; Trillium: Research Funding; Forty-Seven: Research Funding; Trillium: Research Funding; Portola: Consultancy; Kura: Consultancy; Celgene: Consultancy, Research Funding; Astex: Consultancy; Kyowa Hakko Kirin: Consultancy; Aileron: Research Funding; Portola: Consultancy; Kura: Consultancy; Kura: Consultancy; Miragen: Consultancy; Miragen: Consultancy; Portola: Consultancy; Innate Pharma: Consultancy; Millennium/Takeda: Consultancy, Research Funding; Mundipharma: Consultancy; ADCT Therapeutics: Research Funding; Seattle Genetics: Consultancy, Research Funding; Aileron: Research Funding; Forty-Seven: Research Funding; Miragen: Consultancy; Seattle Genetics: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; ADCT Therapeutics: Research Funding; Celgene: Consultancy, Research Funding; Kyowa Hakko Kirin: Consultancy; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; ADCT Therapeutics: Research Funding; Infinity/Verastem: Consultancy, Research Funding; Infinity/Verastem: Consultancy, Research Funding; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Innate Pharma: Consultancy; Millennium/Takeda: Consultancy, Research Funding; Affimed: Consultancy; Innate Pharma: Consultancy; Affimed: Consultancy; Astex: Consultancy; Trillium: Research Funding; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Forty-Seven: Research Funding; Mundipharma: Consultancy; Astex: Consultancy; Celgene: Consultancy, Research Funding; Innate Pharma: Consultancy; Kura: Consultancy; ADCT Therapeutics: Research Funding; Celgene: Consultancy, Research Funding; Infinity/Verastem: Consultancy, Research Funding; Millennium/Takeda: Consultancy, Research Funding; Miragen: Consultancy; Portola: Consultancy; Aileron: Research Funding; Kyowa Hakko Kirin: Consultancy; Affimed: Consultancy; Trillium: Research Funding; Millennium/Takeda: Consultancy, Research Funding.

Abstract Introduction: We previously demonstrated that engagement of the T-cell receptor (TCR) in malignant T-cells leads to ITK-dependent activation of the transcription factors NF-κB and GATA3, thus promoting chemotherapy resistance. TCR-mediated chemotherapy resistance was reversed upon knockdown or pharmacologic inhibition of ITK (Wang, 2017). ITK and resting lymphocyte kinase (RLK) are partially redundant TEC family kinase members involved in TCR signaling (Dubovsky, 2013). Here, we report results from preclinical studies evaluating the use of the ITK-specific inhibitor CPI-818 and the dual ITK/RLK inhibitor CPI-893 in the treatment of T-cell lymphoproliferative disorders. Methods/Results: Kinome screening was performed for CPI-818 and CPI-893. CPI-818 had high specificity for ITK over RLK (IC50 2.3 nM and 260 nM, respectively). In contrast CPI-893 had a high affinity for both ITK and RLK (IC50 0.36 nM and 0.4 nM, respectively). Normal and malignant T-cells from primary patient samples were evaluated for both ITK and RLK by western blot. As anticipated, normal CD3+ T-cells isolated from healthy donors expressed both ITK and RLK (n=3/3). In contrast, malignant T-cells preferentially expressed ITK in 3 of 3 cases and low levels of RLK in a single case. Tissue microarray analysis of cutaneous T-cell lymphoma and peripheral T-cell lymphoma cases further demonstrated ITK expression across multiple subtypes. To confirm on target effects of CPI-818 and CPI-893, Jurkat cells (which express ITK but not RLK) were stimulated with anti-CD3/CD28 beads for 5 minutes in the presence or absence of either agent. Auto-phosphorylation of ITK Y180 and PLC-γ Y783, an ITK substrate, were significantly reduced in the presence of either agent, confirming on target effects. We next evaluated the effect of both drugs on GATA3 expression. Cells were stimulated for 24 hours with anti-CD3/CD28 beads in the presence or absence of these agents (or vehicle control). ITK inhibition with either agent significantly reduced GATA3 expression in these experiments. We next evaluated the effect of CPI-818 and CPI-893 on cell viability in normal T-cells. TCR stimulation for 24 hours increased viability by 359% in the presence of vehicle control when normalized to unstimulated cells (n=3). Treatment with 1 µM CPI-893 reduced the cell viability to only 133% when compared to unstimulated controls (n=3, p = 0.0045). In contrast, treatment with the ITK-specific inhibitor CPI-818 at 1 µM had a numerically smaller, but still statistically significant effect (n=3, average viability 278%, p = 0.0056). We next quantified IL-10 expression by ELISA in cell culture supernatants. Consistent with the observed effect on cell proliferation and viability, only CPI-893 significantly reduced IL-10 production upon TCR stimulation (886 pg/mL vs 11.7 pg/mL, p <0.0001). In order to assess TCR-mediated resistance to chemotherapy in malignant T-cells, T8ML-1 cells (PTCL, NOS cell line) were incubated in the presence or absence of CPI-818 or CPI-893 (both 1 µM) with varying concentrations of vincristine. When compared to TCR-stimulated cells alone, both agents displayed single agent activity, but also sensitized the cells to the effects of vincristine. The IC50 for vincristine in unstimulated cells, TCR-stimulated cells, CP-818 treated stimulated cells, and CPI-893 treated stimulated cells was 0.049, 0.443, 0.066, and 0.091 nM, respectively (n=4 per group). Similar results were observed in primary patient samples treated with romidepsin. Consistent with the observed effect on proliferation and viability, IL-10 production was decreased when compared to TCR stimulated controls (15.97 pg/mL, n=3 for each group) with both CPI-818 (3.47 pg/mL, p <0.0001) and CPI-893 (2.3 pg/mL, p <0.0001). Conclusions: Our results demonstrate that TCR signaling inhibition with the selective ITK inhibitor CPI-818 significantly impaired malignant T-cell growth and proliferation, increased chemotherapy sensitivity, and decreased GATA3 expression. In contrast, this agent had minimal effect on normal T cells; this is likely explained by the expression of both ITK and RLK in most conventional T-cells. Collectively, our data support further preclinical and clinical studies with CP-818 in T-cell lymphoproliferative disorders. Disclosures Buggy: Corvus Pharmaceuticals, Inc.: Employment, Equity Ownership. Janc:Corvus Pharmaceuticals, Inc.: Employment, Equity Ownership. Wilcox:Incyte, Corp: Research Funding.

Abstract Abstract 2835 Background: Extrinsic growth and survival signals provided by nonneoplastic cells present within the tumor microenvironment promote the growth and survival of CLL cells. For example, bone marrow stromal cells, blood-derived “nurse-like” cells and follicular dendritic cells have been shown to promote the survival of CLL cells via the provision of both soluble and cell-contact dependent factors. More recently, monocytes were convincingly shown to support the survival of CLL cells during in vitro culture, and many of the factors (e.g. BLyS/BAFF, SDF-1, CD14) previously implicated in supporting the growth and survival of CLL cells are produced by monocytes. To explore the potential clinical implications of these in vitro findings, we evaluated the relationship between the absolute monocyte count (AMC) at diagnosis and disease progression in a well defined cohort of CLL patients. We hypothesized that the presence of a relative monocytosis at presentation in patients newly diagnosed with CLL may create a nurturing environment for CLL cells and be associated with more rapid disease progression. Methods: Previously untreated patients diagnosed with CLL/SLL within 12 months of presentation to the Mayo Clinic (from 1/1/2000-8/31/2010) were identified (n=1396). The AMC was obtained from routine complete blood counts (CBC) with automated or manual differentials that were performed within 3 months of diagnosis (n=947). The primary study objective was to determine whether the AMC is associated with time to first treatment (TTFT) in CLL. The secondary objective was to determine whether the AMC had independent prognostic value after adjusting for CD38/CD49d/Zap-70 expression, IGHV gene mutation status, and cytogenetic (11q-, 17p-) findings by FISH analysis. Results: The median age was 66 years and the median AMC was 550/μL (380–812/ μL, 1st-3rd quartile) at diagnosis (normal range: 300–900/μL). No significant difference in the median AMC was observed by age, gender; CD38, CD49d, or Zap-70 expression; IGHV gene mutation status or cytogenetic findings. Patients were followed for a median of 3.2 years (range: 0–10.3), with disease progression requiring the initiation of treatment observed in 268 (28%) patients. On multivariate analysis using a Cox proportional hazards model which incorporated age, gender and Rai stage, the AMC (as a continuous variable) was associated with TTFT with a hazard ratio (HR) of 1.099 (per unit change; 95% CI, 1.003–1.205; p=0.04). The optimal cutpoint for the association between AMC and TTFT was determined to be ≥1, 170/μL, a threshold that remained an independently significant predictor of TTFT after adjusting for age, gender and Rai stage with a HR of 5.1 (95% CI, 2.56–10.10, p<0.0001). The median TTFT was 1.0 year for patients with an AMC ≥1, 170/μL and 7.4 years for those with an AMC <1, 170/μL (p<0.0001). In order to evaluate whether the AMC had independent prognostic value after adjusting for other prognostic biomarkers, CD38, CD49d, Zap-70, IGHV gene mutation status and cytogenetic findings (11q- or 17p-), were individually incorporated into the multivariate analysis. In each case, the AMC remained an independent predictor of TTFT, with HRs ranging from 4.31 to 5.43 (p<0.0001 for all analyses). Conclusions: The AMC at the time of diagnosis as measured by a routine CBC is associated with accelerated disease progression in CLL/SLL independent of other prognostic biomarkers. These results suggest that the in vitro observation that nonneoplastic cells present in the tumor microenvironment promote CLL cell survival may have direct clinical implications for the prognostic evaluation of CLL patients and further substantiate the pathogenic role of monocytic cells in CLL. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 85 Background: Follicular lymphoma (FL) is an indolent non-Hodgkin lymphoma (NHL) with a highly variable natural history. Clinical variables describing either patient- or tumor-specific characteristics, many of which are included in the Follicular Lymphoma International Prognostic Index (FLIPI), are used to risk-stratify patients at the time of diagnosis. However, characteristics of non-malignant cells present within the tumor microenvironment provide important prognostic information. For example, both immunohistochemistry and gene expression profiling studies demonstrate that lymphoma-associated macrophages (LAMs) are prognostically important in FL. As LAMs are monocyte-derived, we sought to determine whether the absolute monocyte count (AMC) obtained from a CBC at diagnosis is an adverse prognostic factor in FL. Methods: Consecutive patients with FL who were evaluated and treated at the Mayo Clinic, Rochester between 1998 and 2007 were considered for study participation. Study approval was granted by the Mayo Clinic Institutional Review Board. The primary objective of the study was to determine the significance of the AMC, obtained at the time of diagnosis from a standard complete blood count with differential, in predicting overall survival. The secondary study objective was to determine whether the AMC is an independently significant prognostic factor when compared with the FLIPI. Results: The median follow-up was 4.2 years (range: 2 months to 11 years) for the 355 patients included in this study. At diagnosis, 43%, 34% and approximately 23% of patients were classified as low-, intermediate- or high-risk by the FLIPI. The median AMC at diagnosis was 510/μL, with 8% of patients presenting with an absolute monocytosis. At diagnosis, 45% of patients were initially observed, 42% received combination chemotherapy or immunochemotherapy alone, while the remaining 13% underwent surgery or radiation. The AMC was evaluated as both a continuous and dichotomized variable on univariate analysis. The optimal cut-point for the AMC was determined to be 570/μL by ROC analysis and was used when analyzing the AMC as a dichotomized variable. A relative elevation in the AMC was associated with inferior overall survival, whether analyzed as a continuous or dichotomized variable, with hazard ratios (HR) of 1.002 (HR per unit change in AMC; 95% confidence interval 1.001–1.002; p=0.0002) and 3.4 (95% confidence interval 2.0–6.0; p<0.0001), respectively. The median OS for patients with an AMC <570/μL at diagnosis has not been reached, whereas a median OS of 10.2 years (95% confidence interval 7.8–11.2 years; p<0.0001) was observed for those patients with an AMC ≥570/μL. For comparison, median OS has not been reached for high-risk patients identified by the FLIPI. Among those patients who were initially observed, the median time to progression (TTP) was 31 months (95% confidence interval 25–37 months) for those with an AMC <570/μL at diagnosis. In contrast, patients with an AMC ≥570/μL experienced a significantly shorter TTP following initial observation, with a median TTP of 18 months (95% confidence interval 8–28 months; p=0.03). When adjusting for prognostic factors included in the FLIPI on multivariate analysis, the association between the AMC as a dichotomized variable and survival remained significant with a HR of 2.6 (95% confidence interval 1.5–4.6; p=0.001). When the FLIPI alone (high vs. low/intermediate) was analyzed on multivariate analysis, the AMC remained an independent predictor of survival (p<0.0001). Furthermore, the AMC provided additional prognostic information when superimposed upon the FLIPI. For example, a subset of patients classified as high-risk by the FLIPI were observed to have an OS comparable to low/intermediate risk patients identified by the FLIPI upon further risk-stratification by the AMC, with a 6-year OS of 80%. In contrast, high-risk FLIPI patients with an AMC ≥570/uL were observed to have a median OS of 4.2 years (95% confidence interval 2.7–7.2) and 6-year OS of 47%. Conclusions: The AMC is associated with overall survival in FL and is independent from the FLIPI on multivariate analysis. While the AMC did not appear inferior to the FLIPI in identifying high-risk patients, it may be most helpful when used in conjunction with the FLIPI. These results further support the central role of nonneoplastic myeloid-lineage cells in FL biology. 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 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 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 3088 Background: Despite the use of modern immunochemotherapy (R-CHOP) regimens, almost 50% of patients with diffuse large-B-cell lymphoma (DLBCL) will relapse. Current prognostic models, most notably the International Prognostic Index, are comprised of patient and tumor characteristics and are unable to identify patients with less than a 50% chance of long-term survival. However, recent observations demonstrate that factors related to host adaptive immunity and the tumor microenvironment are powerful prognostic variables in non-Hodgkin lymphoma Methods: We retrospectively examined the absolute neutrophil count (ANC), monocyte count (AMC) and lymphocyte count (ALC), obtained from an automated complete blood count with differential, as prognostic variables in a cohort of 255 consecutive DLBCL patients that were uniformly treated with R-CHOP between 2000 and 2007 at a single institution. The primary study objective was to assess if ANC, AMC, and ALC at diagnosis were predictors of overall survival (OS) in DLBCL. Results: At diagnosis, the median ANC was 4720/uL (range 1190–17690), the median AMC was 610/uL (range 30–4040), and the median ALC was 1220/uL (range 140–5410). The median follow-up for these patients was 48 months. In the univariate analysis, each of these variables predicted OS as continuous variables. As dichotomized variables, an elevated ANC (≥5500/μL; hazard ratio 1.75, 95% confidence interval 1.14–2.60, p=0.01) and AMC (≥610/μL; hazard ratio 3.36, 95% confidence interval 2.10–5.59, p<0.0001) were each associated with inferior OS. In contrast, the presence of lymphopenia, defined as an ALC ≤1000/uL, was associated with inferior OS (hazard ratio 2.21, 95% confidence interval 1.43–3.39, p=0.0004). When components of the IPI were included on multivariate analysis only the AMC and ALC were independently significant prognostic factors for OS, with hazard ratios of 3.37 (95% confidence interval 2.05–5.74, p<0.0001) and 2.19 (95% confidence interval 1.38–3.44, p=0.0009), respectively. The dichotomized AMC and ALC generated the AMC/ALC prognostic index (PI) and stratified patients into 3 risk groups: very good (AMC <610/uL and ALC >1000/uL), good (AMC ≥610/uL or ALC ≤1000/uL), and poor-risk (AMC ≥610/uL and ALC ≤1000/uL) populations. For both the very good (n=79) and good-risk (n=134) groups median OS has not been reached with estimated 5-year overall survival of 88% and 69%, respectively. Median OS for poor-risk (n=42) patients was 1.7 years (95% confidence interval 1.1–2.7 years) with an estimated 5-year overall survival of 28% (p<0.0001). By comparison, the R-IPI was unable to identify a group of patients with a median survival less than 8 years. The estimated 5-year OS was 93%, 71% and 53% for very good, good and poor-risk patients, respectively. We sought to determine whether the AMC/ALC PI may provide additional prognostic information when combined with the R-IPI. To test this possibility, the 171 very good/good risk and 84 poor risk patients identified by the R-IPI were subsequently risk stratified using the AMC/ALC PI. Among R-IPI very good/good risk patients a subset of poor risk patients (n=21) with a median OS of 2.2 years (95% confidence interval 1.1–6.6 years) and 35% 5-year OS could be identified with the AMC/ALC PI. In contrast, 5-year OS ranged from 75%-88% among very good and good risk patients. Similarly, stratification of R-IPI poor risk patients by the AMC/ALC PI identified subsets of very good (n=19) and good risk (n=44) patients with median OS that had not been reached and 86% and 55% 5-year OS, respectively. High risk (n=21) patients had a median OS of 1.4 years (95% confidence interval 0.9–2.2 years) and an estimated 5-year OS of less than 25%. Conclusions: Measurement of AMC and ALC at diagnosis is widely applicable, cost effective, predicts OS, and identifies high-risk patients with DLBCL. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: Peripheral T-cell non-Hodgkin’s lymphomas (PTCL) account for approximately 10% of all non-Hodgkin’s lymphomas in the U.S. and Europe. PTCL, unspecified (PTCL-U), as classified by the WHO, is the most common subtype. The ability of high-dose therapy (HDT) and stem cell transplantation (SCT) to improve patient outcome was evaluated in the current study. Methods: All patients with PTCL-U evaluated at our institution who had tissue specimens available for review from January, 1994 to December, 2005 were identified and both clinical characteristics and treatment course obtained from the medical record. Results: 89 patients with PTCL-U were identified, with a median follow up of 13 months (range 1 month–12 years). The median age at diagnosis was 56 years (range 24–90). The IPI was low, intermediate or high in 34%, 44% and 22% of patients, respectively. On univariate analysis, age >60 (p<.0001), ECOG performance status >1 (p<.0001), LDH greater than normal (p=.004), Ann Arbor Stage III/IV (p=.01) and the presence of B symptoms (p=.0004) were associated with a poorer overall survival, as was an intermediate or high IPI (p<.0001). In contrast, on multivariate analysis only age >60 (p=.0006) and ECOG performance status >1 (p=.007) were independently associated with poorer overall survival. Fifty-seven percent of patients were treated initially with an anthracycline-based regimen, most commonly CHOP (53%). Patients with a low (0–1), intermediate (2–3) or high (4–5) IPI experienced a 61%, 29% and 18% 5-year overall survival, respectively. Fourteen patients (16%) received HDT and autologous (n=12) or allogeneic (n=2) SCT, either at the time of a first partial or complete response (n=11) or at the time of first relapse (n=3). The median survival in those patients treated initially with an anthracycline-based regimen alone was 11 months (95% CI 0.6–1.6 years). Improvement in both 5-year overall (75% vs 24%, HR=5.6, 95% CI 2.0–23.4, p=.0004) and disease-free (60% vs 26%, HR=3.2, 95% CI 1.3–9.3, p=.008) survival was observed in patients who received HDT/SCT, as compared to patients treated with anthracycline-based therapy alone. Furthermore, improvement in both 5-year overall (80% vs 26%, HR=5.8, 95% CI 1.7–35.7, p=.002) and disease free (72% vs 26%, HR=3.8, 95% CI 1.3–15.8, p=.009) survival was observed in patients who received HDT/SCT at the time of a first partial or complete response when compared to patients who received anthracycline-based therapy. When patients who failed to achieve a first partial or complete response were excluded from the analysis, improved 5-year overall (80% vs 57%, HR=0.5, 95% CI 0.1–2.1, p=.4) and disease-free (72% vs 53%, HR=0.7, 95% CI 0.1–2.3, p=.5) survival were observed in patients who received upfront HDT/SCT, although this failed to reach statistical significance. The improved overall and disease free survival observed in patients receiving HDT/SCT, either at the time of a first response or at the time of relapse, remained significant when accounting for differences in the IPI. In conclusion, selected patients with PTCL-U may benefit from treatment with HDT/SCT following a first response to conventional anthracycline-based chemotherapy.

Abstract Background: Hypomethylating agents (HMA) such as 5-Azacitidine (Aza) have overall responses rate of ~35-50% in acute myeloid Leukemia (AML) and higher risk myelodysplastic syndrome (MDS) patients (pts). However, eventually all pts develop resistance on therapy. To improve upfront response rates and to address HMA failure, we performed genome-scale RNAi screens targeting genes on chromosomes 5 and 7, recurrent cytogenetic abnormalities in AML/MDS. These screens identified Hedgehog pathway (Hh) genes as potentially targetable vulnerabilities with Aza. Combination experiments with smoothened (SMO) inhibitors (SMO is a central activating gene within the Hh pathway) showed pre-clinical synergy. These and additional published data support the Hh pathway as a targetable vulnerability in AML, and provide a rational for a trial. Methods: A phase I/Ib protocol of the oral SMO inhibitor LDE225 (Sonidegib) in combination with Aza in untreated and relapsed/refractory (rel/ref) AML, chronic myelomonocytic leukemia (CMML), MDS, or MDS/myeloproliferative neoplasm overlap pts. Objectives of the phase I part are to determine safety, toxicity and MTD and for the phase Ib part to assess the preliminary overall efficacy. Sonidegib was started at dose level (DL) 0 at 400mg oral daily continuously and Aza at the approved doses (75mg/m2 x 7 days or days 5-2-2) with dose adjustment per label. A classical 3+3 design was used and DLT (CTCAE v4.0) defined as > grade 3 CPK elevation or hepatic or non-hematologic adverse events (AEs) lasting > 7 days or any grade 4 event, except for hematologic toxicities. DLT was assessed after 42 days when steady-state concentrations of Sonidegib were reached. Pharmacokinetic assessments were not performed for this study. Results: Patients and Dose Levels : Between 5/22/2014 and the data cut-off date (7/20/2015), 36 pts were enrolled. Median age was 72 y (range 52-85 y) and 64% were male. Most AML pts (23 of 24) had intermediate or unfavorable cytogenetics and most MDS/CMML pts were in the int.- to high-/very high-risk group (IPSS-R). Six pts were treated at DL-0 of Sonidegib 400mg/day and one DLT of CPK elevation was observed. Another patient had grade 4 neutropenia (which at the time was included in the DLT definition, later removed). Due to overall tolerance of the combination at DL 0 and investigator assessment, despite only 1/6 pts having a formal DLT, DL -1 at Sonidegib 200mg was explored at which 0/3 pts (1 pt non-evaluable) had DLT and the phase Ib portion was opened at DL -1. To date a total of 24 AML (13 newly dx, 11 rel/ref), 11 MDS/CMML (5 newly dx, 6 rel/ref ) and 1 myelofibrosis pt have been enrolled. Safety and Tolerability: An initial safety and efficacy assessment for 25 of the 29 pts treated on the phase Ib (n=26) + the MTD cohort of 200 mg (n=3) and for who at least 2 cycles of treatment follow up was available, showed that all pts experienced at least one grade-3 or 4 hematologic AE with a lower rate in the untreated vs. treated cohort. Other, non-hematologic grade-3 and 4 AEs respectively were seen in 24 and 28% of patients-most commonly hyponatremia and fatigue, known AEs for this drug class. Treatment delays occurred in 28% of pts and Aza or Sonidegib dose reductions in 16%. 23 (79%) pts are alive and 6 have died (21%), with one death while pt was actively treated but was deemed unrelated; 11 pts remain on study, with the remainder showing disease progression (n=3) or taken-off study for other reasons (n=3 each for AEs and did not want further treatment; n=4 other). Efficacy : As of 7/20/15 with a median treatment duration of 2 cycles, 2/5 untreated MDS/CMML pts achieved CR/CRi; 1 HMA rel/ref AML had CR; 1 untreated AML pt each had PR and MLFS. 90% of pts have not progressed. Updated results will be presented at the ASH 2015 meeting; by then all 29 pts will have completed a minimum of 4-6 cycles on study and full efficacy and AE result on all pts will be reported. To date the OS at 6 mo is 77% (95% CI: 44-97%) with a median PFS of 4 mo (range: 2-NR). Many pts in the untreated cohorts have just enrolled. Conclusion: Hh pathway inhibition with the clinically well tolerated SMO inhibitor Sonidegib in combination with Aza in MDS and AML pts is well tolerated with mostly hematologic AEs as expected with early signs of clinical activity in untreated and HMA-failure pts. Full efficacy results of 29 pts and updated safety data will be reported for this first combination trial of a SMO inhibitor in combination with a HMA in MDS and AML pts. Disclosures Mesa: Gilead: Research Funding; Novartis Pharmaceuticals Corporation: Consultancy; Incyte Corporation: Research Funding; Genentech: Research Funding; Pfizer: Research Funding; Promedior: Research Funding; NS Pharma: Research Funding; CTI Biopharma: Research Funding. Al-Kali:Novartis: Research Funding.