Citations

Abstract Abstract 3838 Background: SAR302503 (SAR503, formerly TG101348), a potent, oral JAK2-selective inhibitor was studied in a Phase I/II trial for the treatment of patients with high- or intermediate-risk primary, post-polycythemia vera (PV) and post-essential thrombocythemia (ET) myelofibrosis (MF). SAR503 was administered orally once daily in 28-day cycles. Eligibility criteria included platelet count of ≥50 × 109/L. Interim safety and efficacy data from this study up to April 2010 have been previously published (JCO 2011, 29(7):789–796). The aim of this presentation is to report updated safety and efficacy of ongoing patients as well as an analysis of the JAK2V617F allele burden in this cohort. Results: Overall, 59 subjects (median age 64 years) were treated. Forty four patients had PMF, 12 post-PV MF and 3 post-ET MF; 86% were JAK2 V617F-positive. Median palpable spleen size was 18 cm at study enrollment. Twenty eight patients were treated in the dose-escalation cohort (30–800 mg administered as a single daily dose); thirty one patients were treated at the MTD (680 mg) in the dose confirmation cohort. 43/59 patients (73%) completed 6 cycles of treatment and continued treatment on the extension study. Currently, 22 patients (37%) remain on treatment with a median number of 28.5 cycles (24–41 range) and a median of last dose of 440 mg/day. Safety: Treatment-emergent toxicities in cycle 1–6 have been previously reported; toxicities were dose-dependent and generally alleviated with dose-reduction. Five patients discontinued treatment beyond cycle 6 for treatment-related adverse events: thrombocytopenia, depression, mental status changes, creatinine elevation and subdural hematoma. For the subgroup of patients with a baseline platelet count between 50–100 × 109/L (n =13; median 73, range 51–94); the platelet count at defined times points during follow up was: cycle 3; median 50, range 21–138 (p=0.09) and cycle 6; median 47, range 13–85 (p=0.01). Despite 7 of the 13 patients being treated at ≥680 mg/day, only 2 instances of Grade 4 thrombocytopenia were noted in this group Spleen response: As previously reported, spleen responses were seen early, usually within first 3 cycles, with half or more patients in each dose level ≥240 mg/day showing a durable ≥50% decrease in palpable spleen size. Spleen size (mean, median, range, and proportion with ≥50% reduction) at the following time points was: Baseline (n=58; 18.33cm, 18cm, 4–38cm, NA) ; 6 months (n=57; 9.05cm, 9cm, 0–30cm, 54.4%;) 12 months (n=42; 8.55cm, 9cm, 0–28cm, 66.7%) 18 months (n=36; 8.03cm, 8.5cm, 0–33cm, 52.8%); 24 months (n=31; 8.10cm, 8cm, 0–30cm, 54.8%,) 30 months (n=18; 6cm, 7.5cm, 0–16cm, 61.1%,and) 36 months (n=9; 5.89cm, 3cm, 0–16cm, 66.7%). JAK2V617F allele burden: We previously reported a significant decrease in JAK2V617F allele burden at the end of cycles 6 and 12. A durable decrease was also demonstrable after 24 cycles of treatment (n =21; median 9%, range 0–100%) relative to baseline (n =51; median 20%, range 3–100%) (p=0.03). Similarly, for patients with JAK2 V617F allele burden >20% at baseline; there was a significant decrease after cycle 24 (n =12; median 21%, range 6–100%) relative to baseline (n =23; median 60%, range 23–100%) (p=0.03). Conclusions: SAR503 is safe and efficacious treatment with long term effect on spleen size and JAK2V617F allele burden in patients with high- and intermediate-risk myelofibrosis. Additional follow up information will be updated at the time of meeting. Disclosures: Jamieson: Wintherix: Equity Ownership; Pfizer Oncology: Research Funding; Celgene: Research Funding; Novartis: Honoraria. Gao:Sanofi-Aventis: Employment. Zhang:Sanofi-Aventis: Employment. Neumann:Sanofi-Aventis: Employment.

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

Abstract Gene expression profiling has shown that diffuse large B-cell lymphoma (DLBCL) clusters into three major subtypes based on similarity in expression patterns to their cell of origin (COO): germinal center B-cell-like (GCB-DLBCL), activated B-cell-like DLBCL (ABC-DBLCL) and primary mediastinal B-cell lymphoma (PMBCL). These subtypes of DLBCLs are associated with distinctly different overall survival rates after standard immunochemotherapy. However, clinical and prognostic heterogeneity remains within COO subsets and strategies are needed to further stratify patients to identify and target high-risk subsets. A comprehensive genomic analysis of COO on a clinically defined set of DLBCL cases has not been performed and the aim of this study was to use whole-exome sequencing (WES) data from 58 paired tumor-normal DLBCL samples to assess association of known DLBCL genomic alterations with cell COO as well as for identification of novel and relevant genetic biomarkers. To investigate genomic alterations associated with DLBCL subsets, we analyzed WES and genome wide copy number data from 58 paired tumor-normal DLBCL tumors. Gene expression profiling or Hans classification was performed to determine DLBCL COO subtype; 31 patients were classified as GCB and 27 as non-GCB. The WES data were used to 1) assess the association of known DLBCL genomic alterations with COO, and 2) identify novel alternations associated with COO. Statistical analysis was performed and the data were ranked by significance (p≤ 0.05) within each DLBCL subtype. In total, 45 genomic abnormalities were analyzed for their association with either GCB, non-GCB or both. Mutations in CREBBP, EZH2, MEF2B, FOXO1 and REL have also been reported as GCB driver mutations and we observed GCB patients with these mutations, but the mutation clustering was not wholly associated with GCB. MYC double-hits were exclusively found in the GCB-subtype group. For the non-GCB cases we found that mutations in MAP2K3 and MYD88 were significantly associated with this subtype(p< 0.05). In addition to mutational patterns, we identified several copy number alterations (CNA) across both groups. Chromosomal losses in GCB patients were found at chromosomes 10q11.21-10q24.23, 4q12-4q35.2, 3q12.1-3q29, 4p12-4p16.3, 10p11.21-10p15.3, and 14q11.2-14q24.3 whereas gains were localized to 7q11.1-7q36.3, 7p11.2-7p22.3, and 1q21-1q32.1 (p < 0.05). No CNA was observed to directly associate with non-GCB patients, however, a loss at 9p21 and gains at 9q24.1 and 18q21.33 trended with the non-GCB subtype, supporting previous reports. Loss at 10q23.31 or a gain in 2p13-2p12 have been reported as being specific for GCB and our data confirmed the association of 10q23.31 with GCB while a gain at 2p13-2p12 (REL)was found in both subtypes. To further understand genomic differences between DLBCL subtypes, we evaluated the relative percentage of each genomic feature. 18/45 (40%) were only observed in GCB patients whereas 2/45 (5%) were specific to the non-GCB subtype. The majority (25/45, 55%) overlapped between the two subtypes. Throughout our analysis we noted that 7 non-GCB cases lacked any of the driver mutations analyzed in the study. While all cases carried mutations, they consisted of low frequency mutations that were not specifically associated with COO. 2/7 cases had a gain at 9p24.1 that included CD274 and JAK2. Because 9p24.1 gains have not been fully defined in DLBCL, we reviewed all cases and identified 4 (7%) with a 9p24.1 gain, 3 of which were non-GCB and 1 GCB. One non-GCB case was EBV+ and none of the cases showed evidence of PMBCL. Of the 9p24.1 cases, three had RNAseq data available and we found that PDL1 and JAK2 expression was elevated (12 fold p< 0.01 and 7 fold p< 0.01, respectively) when compared to the 9p24.1 normal cases (n=32). While outcome was not the focus of the study, we did note that 6/7 cases that lacked driver mutations achieved event free survival at 24 months (EFS24). Taken together, this analysis has further characterized the genetic profile of each COO subtype and has identified novel GCB CNAs which require independent replication. Additionally, we identify a subgroup of non-GCB DLBCL patients that do not harbor known driver mutations and require further genomic study to better resolve the biology of these tumors. Together, these data provide insight on the genetic heterogeneity of DLBCL and identify genetic variants that may inform subtype specific therapy. Disclosures Nowakowski: Morphosys: Research Funding; Celgene: Research Funding; Bayer: Consultancy, Research Funding. Rimsza:NCI/NIH: Patents & Royalties: L.M. Rimsza is a co-inventor on a provisional patent, owned by the NCI of the NIH, using Nanostring technology for determining cell of origin in DLBCL..

Abstract Background Myelofibrosis (MF) is a clonal myeloproliferative neoplasm (MPN) associated with a high degree of symptomatology, progressive cytopenias and potential to transform into acute myelogenous leukemia (AML). Thrombocytopenia amongst MF patients is a proven negative prognostic indicator and predictor of transformation to AML. Ruxolitinib is an effective JAK inhibitor for MF symptoms and splenomegaly, but is not indicated in patients with severe thrombocytopenia. Phase III trials of pacritinib have shown alleviation of the MF symptom burden amongst patients with thrombocytopenia (ASCO 2015 Mesa et. al.). In this study, we assessed the symptom burden of MF patients with significant thrombocytopenia who were naïve to pacritinib. Methods Data was assessed from a prospectively collected international database of MF patients in which demographics, disease features, and MF symptoms utilizing the myeloproliferative neoplasm symptom assessment form (MPN-SAF; Scherber et al, 2011). The MPN-SAF includes the patient's perceptions of common MPN-related symptoms and overall quality of life (QOL) on a 0 (absent) to 10 (worst imaginable) scale. Total symptom score (TSS) was computed based on symptom items using the published scoring algorithm on a 0 (all reported symptoms absent) to 100 (all reported symptoms worst imaginable) scale. MF risk scores were calculated using the DIPSS criteria (Gangat, 2011). Thrombocytopenia was defined as a platelet count <100 x 10(9)/L, anemia was defined as hemoglobin<10 g/dL and leukopenia was defined as a white blood cell count <4.0 x 10(9)/L. Associations between the MPN-SAF individual symptoms were investigated using Pearson correlations. Results Demographic and Disease Features: A total of 418 patients with (n=89) and without (n=329) thrombocytopenia completed the MPN-SAF. Patients with thrombocytopenia were slightly younger (57.4 vs. 61.0, p=0.01) with longer disease durations (11.9 years vs. 8.8 years, p=0.0489) and had a higher prevalence of primary myelofibrosis (PMF; 82% vs. 66%, p=0.01). The presence of thrombocytopenia was associated with other laboratory abnormalities including anemia (60.7% vs. 25.3%, p<0.001) and leukopenia (34.8% vs. 52.3%, p<0.001), along with the need for red blood cell transfusions (34.8% vs. 14.6%, p<0.001). Patient cohorts did not differ by gender, DIPSS risk score, history of prior thrombosis or hemorrhage. In comparing patients with severe thrombocytopenia (<50 x 10(9)/L, n=43) to those with moderate thrombocytopenia (51-100 x 10(9)/L, n=46), severe thrombocytopenia patients were more likely to have anemia (74.4% vs. 47.8%, p=0.01) and require red blood cell transfusions (51.2% vs. 19.6%, p=0.002). Symptoms Scores for individual MPN-SAF items were assessed for each subgroup. Patients with thrombocytopenia had markedly higher total symptom scores than patients without thrombocytopenia (32.8 vs. 24.1, p<0.001). Individual scores were also higher for most items (fatigue, early satiety, inactivity, dizziness, sad mood, sexuality, cough, night sweats, itching, fever, weight loss, overall QOL)[Figure 1]. No significant differences in MPN SAF TSS or individual symptom scores were observed in comparing severe vs. moderate thrombocytopenia patients. Discussion MF patients with thrombocytopenia have distinctive clinical characteristics and face a significantly more severe symptom burden. Importantly, despite thrombocytopenia being a recognized risk factor for disease advancement, no correlations are noted between patient symptomatology and risk category. In addition, patients with severe thrombocytopenia do not differ symptomatically from patients with moderate thrombocytopenia despite having more severe anemia, leukopenia and transfusion requirements. This implies that the degree of symptomatology expressed by thrombocytopenic MF patients occurs independent from the exact platelet value. Conclusion The results of this study suggest that patients with thrombocytopenia will benefit from aggressive symptomatic control, potentially from targeted agents. Figure 1. MF Symptoms in Patients With and Without Thrombocytopenia Figure 1. MF Symptoms in Patients With and Without Thrombocytopenia Disclosures Kiladjian: Novartis: Consultancy; Novartis: Other: Travel grant; Research Funding paid to institution (Hôpital Saint-Louis et Université Paris Diderot); Incyte Corporation: Consultancy. Zweegman:Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Harrison:Shire: Speakers Bureau; CTI Biopharma: Consultancy, Honoraria, Speakers Bureau; Sanofi: Honoraria, Speakers Bureau; Gilead: Honoraria; Novartis: Honoraria, Research Funding, Speakers Bureau. Cervantes:Novartis: Consultancy, Speakers Bureau; Sanofi-Aventis: Consultancy; CTI-Baxter: Consultancy, Speakers Bureau. Barbui:Novartis: Speakers Bureau. Etienne:ARIAD: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: Congress Travel/Accomodations, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau. Roy:BMS: Consultancy, Research Funding; Novartis: Consultancy, Research Funding. Vannucchi:Shire: Speakers Bureau; Novartis Pharmaceuticals Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Baxalta: Membership on an entity's Board of Directors or advisory committees. Mesa:Novartis. Research- incyte, Gilead, cti, Genentech, promedior, NS Pharma: Consultancy.

Abstract Background: The Philadelphia chromosome negative myeloproliferative neoplasms (MPNs), including essential thrombocythemia (ET), polycythemia vera (PV) and myelofibrosis (MF) all have a time dependent risk of progression to either an advanced myelofibrotic state (post ET/PV MF) and/or to acute myeloid leukemia. The impact of disease duration upon the MPN symptom burden is not well understood, nor are the precise mechanisms of disease progression. We sought to better understand the impact of disease duration on MPN symptom burden. Methods: Symptom burden data was collected utilizing the Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF) amongst MPN patients, collected at the time of an office visit in an international cohort of MPN patients as previously described (Scherber et. al.). Symptom burden assessment was a previously validated 27-item symptom burden questionnaire scored on a 0-10 scale (0= as good as it can be, 10 = as bad as it could be). The patient or provider was asked to report the time since MPN diagnosis. MPN duration was determined to be early if the diagnosis was established between 0 to 5 years ago, intermediate if the diagnosis was established between 6 to 10 years ago, and late if the diagnosis was established 11 years ago or more. Anemia was defined as a red blood cell count less than 10 g/dL, leukopenia was defined as a white blood cell count was below 4 x 109, and thrombocytopenia if the platelet count was below 150 x109. Statistical significance was calculated using ANOVA f-test and chi squared. Results: Patient demographics and disease burden: A total of 1443 patients responded to the survey, including 592 (41%) ET, 549 (38%) PV, and 302 (21%) MF patients, including 181 (60%) primary MF, 67 (22%) post-ET MF, and 54 (18%) post-PV MF. Among MF patients, mean duration of MPN diagnosis was 9 years, and mean duration MF diagnosis was 4.7 years. Among respondents, 757 fit criteria for early disease duration, 353 fit criteria for intermediate disease duration, and 333 fit criteria for late disease duration. Respondent mean age was 62 years and approximately half of respondents were female (55%). Patients with longer diagnosis duration tended to be older (p=0.009) and were most likely to have anemia (0.02), leukopenia (p=0.01), or thrombocytopenia (p=0.03). These individuals were also most likely to have a history of hemorrhage (p=0.007) or require red blood cell transfusions (p<0.001). Combined cohort symptom burden: On average among the combined cohort of ET, PV and MF patients, symptoms tended to worsen with time with this effect being significant for symptom items of fatigue (BFI, p<0.04), concentration (p=0.007), insomnia (p=0.02), sexual difficulties (p=0.002), cough (p=0.03), night sweats (p=0.002), and pruritus (p=0.02). Symptoms of early satiety (p=0.004), concentration difficulties (p=0.01), insomnia (p=0.03), sexual difficulties (p=0.02), cough (p=0.01), and night sweats (p=<0.001) had significantly higher prevalence in those with longer disease duration. Similarly, the total calculated MPN-10 score (p=0.008) and quality of life assessment (0.03) demonstrated worsened outcomes with time (Table 1). No significant differences in symptoms for the combined cohort were observed among individuals diagnosed 0 to 1 years ago compared to those with a diagnosis established between 2 and 5 years ago. Symptom burden in MPN subtypes. When evaluating specific MPN types, patients with essential thrombocythemia experienced significantly greater sexual difficulties over time (p=0.03). The severity (p=0.01) and incidence (p=0.03) of pruritus and incidence of night sweats (p<0.001) were significantly increased over time for individuals with PV. For those with MF, the severity (p= 0.01) and incidence (p=0.009) of cough also significantly increased with longer diagnosis duration. Discussion Overall, significant worsening in symptom burden can be recognized over time for individuals diagnosed with MPNs. Diagnosis may not necessarily correlate with disease duration as the timing of diagnosis may be delayed from onset of disease. Given the intent of this abstract to evaluate changes with disease duration, we did not investigate correlations between symptom burden and cytopenias. We do know that risk factors for survival in the MPNs include older age and thrombosis, however, disease duration should be investigated as an alternative marker of burden in future survival studies. Disclosures Harrison: CTI Biopharma: Consultancy, Honoraria, Speakers Bureau; Shire: Speakers Bureau; Gilead: Honoraria; Novartis: Honoraria, Research Funding, Speakers Bureau; Sanofi: Honoraria, Speakers Bureau. Kiladjian:Incyte Corporation: Consultancy; Novartis: Other: Travel grant; Research Funding paid to institution (Hôpital Saint-Louis et Université Paris Diderot); Novartis: Consultancy. Zweegman:Celgene: Research Funding; Janssen: Research Funding; Takeda: Research Funding. Barbui:Novartis: Speakers Bureau. Etienne:Novartis: Consultancy, Honoraria, Other: Congress Travel/Accomodations, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; ARIAD: Consultancy, Honoraria, Speakers Bureau. te Boekhorst:CTI Biopharma: Consultancy; Novartis: Consultancy. Vannucchi:Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Other: Research Funding paid to institution (University of Florence), Research Funding; Shire: Speakers Bureau; Baxalta: Membership on an entity's Board of Directors or advisory committees. Mesa:Novartis. Research- incyte, Gilead, cti, Genentech, promedior, NS Pharma: Consultancy.

Abstract Abstract 1586 Transformation growth factor (TGF-β) is a highly pleiotropic cytokine critical to a variety of cellular events such as cell differentiation and apoptosis. TGF-β is synthesized as a prepro-TGF-β precursor and secreted after being processed in Golgi apparatus as a latent form that non-covalently combines both TGF-β and latency-associated protein (LAP). Our previous work in B-cell NHL has shown that the intratumoral T cell composition results in the establishment of a profoundly inhibitory tumor microenvironment. However, the underlying mechanism is only partially understood. In this study, using patient specimens and lymphoma cell lines, we evaluated the role of TGF-β in the tumor microenvironment and determined the effect of TGF-β on the generation of intratumoral TH1, TH17 and Treg cells in B-cell NHL. First, we determined expression of TGF-β and found that a latent form of TGF-β was specifically expressed on the surface of CD19+ B cells, but not on other types of cells from B-cell lymphoma biopsy specimens. By screening cell lines, we found that latent TGF-β was also expressed on the surface of lymphoma cell lines, confirming the finding. Second, we tested whether surface expression by lymphoma cells led to the secretion of TGF-β in culture medium. Using an ELISA assay, we detected variable levels of latent TGF-β in the culture medium of primary malignant B cells (median 100 pg/ml per million cells, range: undetectable −229 pg/ml, n=7). Similarly, lymphoma cell lines secreted variable amounts of TGF-β from undetectable to 200 pg/ml per million cells. Next, we determined the effect of TGF-b on intratumoral T cell proliferation and differentiation. As expected, exogenous addition of TGF-β inhibited the proliferation of T cells. Notably, the proliferation of intratumoral T cells was significantly reduced when co-cultured with lymphoma cells bearing an active form of TGF-β compared to that with lymphoma cells without TGF-β. Using flow cytometry, we showed that the addition of exogenous TGF-β enhanced Foxp3 expression in activated CD4+, CD4+CD45RA+ or CD4+CD45RO+ intratumoral T cells, suggesting that TGF-β promotes the generation of Treg cells in tumor microenvironment. In contrast, TGF-β suppressed the expression of IFN-γ in activated CD4+ T cells and inhibited the up-regulation of IL-12 and IL-23-induced IFN-γ expression in CD4+ cells, indicating that TGF-β suppresses the generation of TH1 cells. TGF-β alone slightly inhibited IL-17 expression in CD4+ T cells; however, TGF-β, in the presence of IL-6 and IL-23, up-regulated IL-17 expression in CD4+ T cells, suggesting proinflammatory cytokines are able to reverse the suppression induced by TGF-β. These results suggest that TGF-β controls the generation of TH1, TH17 and Treg cells contributing to the imbalance of effector TH cells and inhibitory Treg cells in the tumor microenvironment of B-cell NHL. Since malignant B-cells produce TGF-β, these results further support the important role of malignant B cells in the regulation of intratumoral T cell differentiation and the host immune response. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 2700 Background: Follicular lymphoma is a heterogeneous disease in terms of disease course and prognosis. Clinical risk factors, including age, presence of B symptoms and bulky disease have been shown to have prognostic value. More recently, elements of the tumor microenvironment, including CD68 positive macrophages as well as programmed death-1 (PD-1) expressing lymphocytes, have been shown to be associated with a worse prognosis. However, there is a paucity of data in terms of microenvironment changes that take place in the setting of transformation into diffuse large B cell lymphoma (DLBCL). CD14 is a monocytic marker, and increased numbers of CD14+ cells in the peripheral blood have been associated with a poor prognosis in non-Hodgkin's lymphoma and CLL. It has also been shown that CD14+ cells are present in biopsy specimens in DLBCL and that these cells may support malignant cell growth. This study was designed to examine the presence of CD14+ cells in follicular lymphoma that transformed to DLBCL and to determine the prognostic value of CD14 expression in terms of time to transformation. Methods: Patients with follicular lymphoma who underwent transformation into DLBCL were identified from the Mayo Clinic Lymphoma Database. Controls were follicular lymphoma patients who did not undergo transformation, and were matched 2:1 (control:transformed) on age at diagnosis, year of diagnosis, sex, stage, and length of follow-up time. Tissue specimens at the time of diagnosis were stained for CD14 and CD68, and characterized semiquantitatively based on the presence and distribution of positive cells. Time to transformation (TTT) was assessed using the Kaplan-Meier method. Results: 159 patients were included in the study: 58 patients transformed and 101 did not transform into DLBCL. Median age at diagnosis was 64 years. 150 specimens were sufficient for immunohistochemical analysis. When patients with transformed disease were compared to those who did not transform, those who transformed had greater numbers of CD14+ cells present in their initial diagnostic biopsy (p=0.0415). When only patients who transformed were considered, CD14+ cells in a follicular pattern was associated with a median time to transformation of 3.9 years, CD14+ cells in an interfollicular pattern had a median TTT of 4.9 years and CD14- specimens were associated with a median TTT of 6.2 years (p = 0.0322). The staining pattern for CD68 differed from that of CD14 and was not significantly associated with time to transformation. Conclusions: The presence of intratumoral CD14+ cells at diagnosis in follicular lymphoma is associated with subsequent disease transformation. Our results suggest that when CD14+ cells organize in the follicle, follicular lymphoma patients are likely to transform into DLBCL sooner. Further studies are therefore warranted to define the role of these cells in the tumor microenvironment during transformation to DLBCL. Disclosures: No relevant conflicts of interest to declare.

Abstract Introduction: Current therapies for patients with r/r ALL who have had prior allogeneic hematopoietic stem cell transplantation (alloHSCT) have very poor outcomes. Improvements in the therapeutic options available for adult r/r ALL are required. Blinatumomab is a bispecific T-cell engager (BiTE®) antibody construct that redirects cytotoxic T cells to lyse CD19-positive B cells. The aim of the present analysis was to characterize a subset of patients with r/r ALL and prior alloHSCT before treatment with blinatumomab from a large confirmatory open-label, single-arm, multicenter phase 2 study (Topp MS et al Lancet Oncol 2015;16(1):57-66). Methods: Eligible patients (≥18 years) had Philadelphia chromosome-negative r/r ALL with 1 of the following negative prognostic factors: primary refractory, first relapse within 12 months of first remission, relapse within 12 months of alloHSCT, or second or greater salvage. Patients with active acute or chronic graft-versus-host disease (GvHD) were excluded. Patients were required to stop all immunosuppressive GvHD therapy within 2 weeks before starting blinatumomab. A total of 189 patients were enrolled and received blinatumomab by continuous intravenous infusion (4 weeks on/2 weeks off) for up to 5 cycles. The primary endpoint was complete remission or complete remission with partial hematologic recovery (CR/CRh) within the first 2 cycles. Secondary endpoints included overall survival (OS), relapse-free survival (RFS), and adverse events (AEs). Results: 64 (34%) patients had received alloHSCT before study enrollment; 10 patients had 2 prior alloHSCTs. Donor types primarily included 29 (45%) matched sibling and 31 (48%) unrelated, with 34 (59%) patients receiving myeloablative conditioning regimens (donor chimerism data were unavailable). Among those with prior alloHSCT, median age (range) was 32 (19-74) years. At baseline, 23 (36%) patients had 1 prior relapse, 24 (38%) had 2 prior relapses, and 17 (27%) had ≥3 prior relapses; 28 (44%) patients had relapsed post-alloHSCT. Of the 55 patients who had received previous salvage therapy, 38 (69%) had received salvage therapy after last alloHSCT and prior to blinatumomab. Median time (range) between the last alloHSCT and subsequent relapse was 6 (1-33) months. Median time from last prior alloHSCT to first dose of blinatumomab was 10 (3-40) months. Nineteen (30%) patients had a history of GvHD, and 42 (66%) had ≥50% bone marrow blasts at start of treatment as assessed by a central laboratory. Patients received blinatumomab for a median of 2 (1-5) cycles. Efficacy data are presented in Table 1. Overall, 45% (29/64; 95% confidence interval [CI], 33-58) of patients achieved CR/CRh within the first 2 cycles, with similar rates of remission also observed in the alloHSCT-naïve (42%; 52/125) group. With a median follow-up of 8.8 months, median (95% CI) OS was 8.4 (4.2-9.4) months for the 64 patients with prior alloHSCT treated with blinatumomab. Of the 29 responders (CR, n=18 and CRh, n=11), 22 (76%) had a minimal residual disease (MRD) response and 19 (66%) achieved a complete MRD response. Median RFS (95% CI) was 6.1 (5.0-7.7) months. 9/29 (31%) responders subsequently underwent another alloHSCT. In total, 56 (88%) patients had grade ≥3 treatment-emergent AEs, with the most frequent including neutropenia (22%), febrile neutropenia (20%), anemia (17%), and thrombocytopenia (14%). Six patients reported treatment-emergent GvHD (two grade ≥ 3) during blinatumomab treatment, 3 of whom had GvHD in skin. Eight patients had fatal treatment-emergent AEs, which included 1 due to gastrointestinal hemorrhage, 1 due to respiratory failure, and 6 due to infection/infestation; 1 of these (candida infection) was considered to be possibly related to treatment by the investigator. Of the subjects who had treatment-emergent fatal AEs, none were in remission at the time of death. Summary: In this heavily pretreated group of patients with r/r ALL and prior alloHSCT, single-agent blinatumomab was able to induce a CR/CRh rate of 45%, with an AE profile consistent with that previously reported. Post-alloHSCT patients who had relapsed performed equally as well as those without prior alloHSCT. To prolong remission in this poor outcome patient group, the addition of other immunotherapies to the treatment regimen may be considered for future investigations. Disclosures Stein: Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Seattle Genetics: Research Funding. Topp:Astra: Consultancy; Regeneron: Consultancy; Affimed: Consultancy, Research Funding; Roche: Consultancy, Other: Travel Support; Jazz: Consultancy; Pfizer: Consultancy; Amgen: Consultancy, Honoraria, Other: Travel Support. Goekbuget:Erytech: Consultancy; Gilead Sciences: Consultancy; Kite: Consultancy; Mundipharma: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Bayer: Equity Ownership; Sanofi: Equity Ownership; GlaxoSmithKline: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Eusapharma/Jazz: Consultancy, Honoraria, Research Funding; Medac: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; SigmaTau: Consultancy, Honoraria, Research Funding. Bargou:Pfizer: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Patents & Royalties: Patent for blinatumomab; University of Wuerzburg, Germany: Employment; GEMoaB GmbH: Consultancy, Honoraria; Novartis: Consultancy, Honoraria. Rambaldi:Roche: Honoraria; Novartis: Honoraria; Amgen: Honoraria; Celgene: Research Funding; Pierre Fabre: Honoraria. Zhang:Amgen: Employment, Equity Ownership. Zimmerman:Amgen: Employment, Equity Ownership. Forman:Mustang: Research Funding; Amgen: Consultancy.

Abstract T-cell exhaustion plays an important role in attenuating the function of immune cells in B-cell non-Hodgkin's lymphoma (NHL) and PD-1 expression is typically used to identify exhausted T-cells. We have however previously shown that not all PD-1+ cells are exhausted and that PD-1 is differentially expressed on two distinct T-cell subpopulations, with high expression on T follicular helper cells and dim expression on exhausted T cells. Other markers are therefore needed to more clearly identify exhausted intratumoral T cells. To further define exhaustion of intratumoral T cells, we determined the co-expression, regulation and function of PD-1, TIM-3 and LAG-3 on CD4+ or CD8+ T cells by flow cytometry. Using biopsy specimens from follicular B-cell NHL, we found that the percentages of PD-1+ and TIM-3+ T cells were 53.1% (range: 17.2-81.2%, n=32) and 34.5% (range: 14.9-62.6%, n=34) in CD4+ T cells and 46.8% (range: 12.8-81.7%, n=32) and 40.4% (range: 15.0-78.4%, n=34) in CD8+ T cells, respectively. We observed that TIM-3 was predominantly expressed on PD-1dim T cells and TIM-3+ cells accounted for 40% of CD4+ PD-1dim or 45% of CD8+ PD-1dim T cells. Similarly, LAG-3 was variably expressed on intratumoral T cells from B-cell NHL. A median of 9.54% (range: 3.01-15.46, n=6) of CD4+ or 20.48% (7.93-33.9, n=8) of CD8+ T cells express LAG-3. We found that LAG-3+ T cells almost exclusively came from PD-1+ TIM-3+ cells, forming a defined population of intratumoral PD-1+ TIM-3+ LAG-3+ CD4+ or CD8+ T cells. While the majority of LAG-3+ T cells were effector memory T cells (CD45RA- CCR7-), some LAG-3-expressing T cells displayed a phenotype of terminally-differentiated T cells (CD45RA+ CCR7-). Functionally, the intratumoral TIM-3+ LAG-3+ T cells exhibited reduced capacity to produce cytokines (IL-2, IFN-γ) and granules (perforin, granzyme B). Similar to TIM-3, LAG-3 expression was strongly up-regulated on CD4+ or CD8+ T cells by IL-12, a cytokine that has been shown to induce T-cell exhaustion. Interestingly, we observed that while expression of TIM-3 on CD8+ T cells was upregulated by IL-12 at an early time point (day 1), LAG-3 was only induced after TIM-3 up-regulation (day 3) and almost exclusively on TIM-3+ T cells. Furthermore, we found that blockade of both TIM-3 and LAG-3 signaling was able to reverse the exhausted phenotype of CD8+ T cells resulting in increased IFN-γ and IL-2 production. This effect was further enhanced when CD8+ T cells were treated with both anti-TIM-3 and anti-LAG-3 Abs. Taken together, these results suggest that PD-1, TIM-3 and LAG-3 were involved in the induction of exhaustion of T cells in B-cell NHL. We find that PD-1, TIM-3 and LAG-3 are expressed on the same T cells and that blocking TIM-3 and LAG-3 can reverse T-cell exhaustion signaling. These results suggest that PD-1, TIM-3 and LAG-3 play a synergistic role in the development of T cell exhaustion in NHL. Disclosures No relevant conflicts of interest to declare.

Background:T cell Ig and ITIM domain (TIGIT) is an immune checkpoint molecule and a novel member of CD28 family. TIGIT is expressed on NK cells, effector and memory T cells, and Treg cells. Upon ligation with CD155, TIGIT delivers an inhibitory signal and negatively regulates anti-tumor responses. While important in normal T-cell biology, the expression and function of TIGIT in the blood and tumor microenvironment of patients with B-cell non-Hodgkin lymphoma (NHL) is completely unknown. Goal: To phenotypically and functionally characterize TIGIT+T cell subsets in B-cell NHL and compare expression of TIGIT on intratumoral T cells to normal controls. Results: In peripheral blood, TIGIT expression was not detected on resting T cells. In contrast, when we analyzed biopsy specimens from B-cell NHL patients, we observed that TIGIT is variably but highly expressed on a subset of intratumoral T cells. A median of 41.1% (range: 24.9-56.1, n=5) of CD4+ or 22.2% (range: 13.4-33.3, n=5) of CD8+ T cells from tumor specimens expressed TIGIT on the cell surface. In normal tonsil tissue, expression level of TIGIT was modest or negligible. A median of 12.0% (range: 9.1-15.8, n=5) of CD4+ or 3.9% (range: 1.3-5.7, n=5) of CD8+ T cells express TIGIT on the cell surface, which is significantly lower than that in B-cell NHL (p=0.005 and p=0.003 for CD4+ and CD8+, respectively). We observed that both CD45RA+ and CD45RA- T cells express TIGIT with the greatest expression on the CD45RA- population in B-cell NHL specimens. Furthermore, we found that TIGIT+ T cells coexpressed other immune checkpoint molecules including PD-1 and TIM-3. Functionally, TIGIT+ T cells displayed reduced cytokine production, as the number of IFN-γ- and IL-2-producing cells was lower in the TIGIT+ population than in TIGIT-T cells. Unlike TIM-3 that is coexpressed with PD-1 and whose expression is upregulated by IL-12, TIGIT expression is not upregulated by IL-12, suggesting that a different mechanism is involved in TIGIT upregulation in B-cell NHL. Conclusion: Taken together, these results indicated that TIGIT is highly expressed on intratumoral T cells in B-cell NHL and is expressed on a population of T-cells with suppressed immune function. TIGIT, while co-expressed with PD-1 and TIM-3, is not upregulated by cytokines such as IL-12, suggesting that it is regulated by an alternate pathway. Inhibition of TIGIT signaling may be an additional mechanism to prevent T-cell suppression and exhaustion in B-cell NHL. Disclosures No relevant conflicts of interest to declare.