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Abstract Abstract 487FN2 Background: Given the life-threatening nature of severe VOD (sVOD) and multi-organ failure (MOF), DF was made available in the US through a prospective treatment IND protocol (T-IND) to gather additional safety and response data from SCT patients (pts) with sVOD who were not eligible for a pivotal Phase 3 trial. Following completion of this Phase 3 trial, the T-IND protocol has continued and been amended to include pts who would have met eligibility criteria for the completed phase 3 trial, as well as pts with non-severe VOD and non-SCT pts who develop VOD after chemotherapy (chemo). This is the largest prospective evaluation of DF for the treatment of sVOD/MOF post SCT and non-SCT pts to date. Methods: Pts were initially required to have a diagnosis of VOD by Baltimore criteria (total bilirubin > 2.0 mg/dL with > 2 of the following: hepatomegaly, ascites or 5% weight gain) with MOF (either renal and/or pulmonary failure) that followed SCT. Following treatment of 104 pts, an amendment expanded eligibility criteria to include pts with VOD after chemo and pts with non-severe VOD (defined as no MOF). Key exclusion criteria included clinically significant bleeding or >1 pressor to maintain BP. CR was defined as bilirubin < 2 mg/dL + resolution of MOF (if applicable). Mortality was assessed at Day +100 (D+100) in all pts. DF was given at 6.25 mg/kg IV q6h (25 mg/kg/d) with treatment duration recommended for at least 21d. Results: This interim analysis is based on 269 pts enrolled between December 2007 and March 2011 at 67 centers. Nearly all pts (n=251) had undergone SCT (with allogeneic SCT in 225, 90%); 18 developed VOD after chemo alone. Of the 269 cases of VOD, 200 were severe at study entry, with 25% (66/269) of all pts dialysis dependent and 31% (83/269) ventilator dependent. Median age was 16 years (range 0.1 – 70); 55% were male. In the SCT pts, the most common diagnosis was leukemia (29% AML; 22% ALL; CML 3%; 4% other), with conditioning of CY (71%), BU (46%) and TBI (38%) respectively; 18% had undergone multiple SCTs (>1 SCT). Median onset of VOD was 15 d post-SCT. When presenting after chemo alone (n=18), median onset of VOD was 16 d after the first dose, most frequently after CY (61%), cytarabine (44%) and vincristine (39%), and for treatment of leukemia (AML 33%, ALL 33%, other 6%). Overall mean number of days of DF administration in all pts was 22 (range 1–88).Of 269 pts, 32% (85/269) achieved a CR and 50% [ by Kaplan-Meier estimate] survived to D+100. In the subgroup of SCT pts, 31% (78/251) achieved CR and 50% survived to D+100; 134 pts met entry criteria for the original Phase 3 trial and comparison to the Phase 3 historical control showed a statistically improved outcome in CR (30% vs 9%, p=0.0006) and D+100 survival (46% vs 25%; p=0.006). Of 200 pts with sVOD, CR was 28% and D+100 survival was 44%. In the 18 chemo only pts, CR was 39% and D+100 survival was 50%. CR rate and D+100 survival for the 69 pts with non-severe VOD were 42% and 62%, respectively. Delay of >2 d (vs < 2 d) in the start of DF after VOD diagnosis resulted in reduced CR (23% vs 35%, p=0.0339) and survival (37% vs 56%, p=0.01). Children as compared to adults had higher rates in CR (35% vs 29%) and survival (55% vs 43%). Toxicity proved generally manageable: 22% of pts experienced a total of 81 related AEs, primarily consisting of hemorrhage (19%) and hypotension (4%). Hemorrhage included pulmonary bleeding (6%), GI hemorrhage (3%), epistaxis (3%) and hematuria (3%). Similar to the observation of decreased GvHD in other studies, the incidence of all grade GvHD in the allogeneic SCT pts was 8%. Conclusions: In 269 pts with mainly sVOD/MOF, DF therapy achieved significantly improved outcome compared to an untreated historical control. Importantly, CR and survival were improved in pts who were treated within 2d of VOD diagnosis (vs. later) and in pts who had not yet progressed to sVOD. As with prior studies, there was a low incidence of DF-associated toxicities. Interestingly, the incidence of GvHD in allo-SCT pts was low, consistent with the reduction of GvHD seen in the large randomized EBMT pediatric prevention study. These results confirm the findings of previous trials and strongly support early intervention with DF once the diagnosis of VOD is made after SCT, as well as its use in pts who have not progressed to advanced MOF. The use of DF for VOD following intensive chemotherapy without SCT also appears promising, but more research in this patient population is needed. Enrollment to the T-IND study continues. Disclosures: Richardson: Gentium: Membership on an entity's Board of Directors or advisory committees. Arai:Gentium: Research Funding. Symons:Otsuka Pharmaceuticals: Research Funding. Martin:Gentium: Research Funding. Massaro:Gentium: Consultancy. D'Agostino:Gentium: Membership on an entity's Board of Directors or advisory committees. Hannah:Gentium: Consultancy. Tudone:Gentium: Employment. Hume:Gentium: Employment. Iacobelli:Gentium SpA: Employment. Soiffer:Gentium: Honoraria.

OBJECTIVE Tumor-associated macrophages (TAMs) have been implicated as pathologic actors in phenotypically aggressive vestibular schwannoma (VS), potentially mediated via programmed death-ligand 1 (PD-L1). The authors hypothesized that PD-L1 is a key regulator of the VS immune microenvironment. METHODS Forty-six consecutive, radiation-naïve, sporadic VSs that were subtotally resected at primary surgery were assessed via immunohistochemical analysis, including analysis of CD163 and PD-L1 expression. Pathologic data were correlated with clinical endpoints, including tumor control, facial nerve function, and complications. RESULTS Baseline parameters were equivalent between stable and progressive post–subtotal resection (STR) VS. CD163 percent positivity and M2 index were significantly increased among tumors that remained stable (34% vs 21%, p = 0.02; 1.13 vs 0.99, p = 0.0008), as well as patients with favorable House-Brackmann grade I or II facial nerve function (31% vs 13%, p = 0.04; 1.11 vs 0.97, p = 0.05). PD-L1 percent positivity was significantly associated with tumor progression (1% vs 11%, p = 0.01) and unfavorable House-Brackmann grade III–VI facial nerve function (1% vs 38%, p = 0.02). On multivariate analysis, PD-L1 was independently significant in all models (likelihood ratio 4.4, p = 0.04), while CD163 was dependent in all iterations. CONCLUSIONS In contrast to prior reports, in this study, the authors observed significantly increased levels of M1, CD163 + TAMs in association with VS that progressed after STR. Progressive tumors are characterized by increased PD-L1, potentially highlighting a mechanism of immune evasion that results in TAM deactivation, tumor growth, and further infiltration of anti-tumor immune cells. Targeting PD-1/PD-L1 may offer therapeutic promise, particularly in the setting of disease control after STR.

Abstract Chronic Lymphocytic Leukemia (CLL) is primarily characterized by the presence of leukemic B lymphocytes resistant to the process of apoptosis. Causes for this resistance include aberrant expression of multiple anti-apoptotic proteins, perhaps including Tcl-1 (1). Tcl-1 is expressed during normal development of both B and T cells and activates Akt to provide a survival signal through phosphorylation and inactivation of apoptotic pathway components. Overexpression of Tcl-1 in the B cells of transgenic mice results in a B-cell leukemia phenotype typical of human CLL, suggesting a primary role for Tcl-1 in CLL tumorigenesis. A recent report showed that Tcl-1 protein expression in CLL cells correlated with other biological parameters, but no data were available as to its clinical relevance (2). We therefore examined Tcl-1 expression in relation to clinical outcome using 51 peripheral blood mononuclear cell samples from a Phase II clinical trial testing the combination of pentostatin, cyclophosphamide, and rituximab in previously untreated CLL patients (Kay et al., ASH 2006). Tcl-1 protein expression was measured by immunoblot using GAPDH as a normalization control across lanes and lysate from a single Tcl-1 transgenic mouse spleen as a normalization control across immunoblots. All samples were run at least in duplicate and digital quantitation was performed using a ChemiDoc instrument (BioRad). Tcl-1 expression in patient cells was calculated in comparison to Tcl-1 expression in the mouse lysate, arbitrarily set to 1.0. Data were analyzed as a continuous measure as well as by specific cutoffs. Higher Tcl-1 expression was associated with failure to achieve a minimal residual disease-negative state after treatment. Specifically, Tcl-1 expression (measured as a continuous variable) was associated with residual disease measured by post-treatment CD5+/CD19+ cell percentages (continuous variable as well as dichotomized by cutpoint of 1.0% for CD5+/CD19+; p=0.03 for both comparisons). For the dichotomized Tcl-1 expression with the cutpoint of 0.275 (second tertile), this variable was marginally significantly associated with whether or not post-treatment CD5+/CD19+ was less than 1.0%. Using this same cutoff, there was also a suggestion that patients with reduced Tcl-1 were more likely to achieve a complete response. Finally, progression-free survival was shorter in patients with increased Tcl-1 expression, although these data did not reach statistical significance in this sample set. Tcl-1 < 0.275 Tcl-1≥ 0.275 p value CD5/CD19≥ 1% 15 10 0.046 CD5/CD19 < 1% 16 2 CR 17 3 0.064 No CR 18 13 Median PFS (mos.) 36.5 17.1 0.137 Statistically significant associations with other parameters including Rai stage, IgVH mutation status, ZAP-70 expression, CD38 expression, and interphase cytogenetics categories were not detected in this sample set. These data further support the clinical relevance of the Tcl-1 mouse model to human CLL, and provide preliminary evidence that Tcl-1 protein expression correlates with clinical outcome of CLL patients treated with chemoimmunotherapy. If validated in larger studies, Tcl-1 expression may serve as a novel prognostic factor.

Abstract BACKGROUND: Primary Mediastinal B-Cell Lymphoma (PMBL) is a rare form of B-cell non-Hodgkin lymphoma (Lones/Cairo et al, JCO 2000). We have previously reported a significant decrease in EFS among pediatric and adolescent patients with PMBL compared with other stage III non-PMBL diffuse large B-cell lymphoma (DLBCL) patients following FAB/LMB 96 therapy, suggesting that new therapeutic targeted agents are needed (Gerrard/Cairo et al, Blood 2013). Activation of the B-cell receptor (BCR) signaling pathway has now emerged as a central oncogenic pathway that promotes growth and survival in both normal and malignant B-cells. The cascade of signaling pathways downstream of the BCR includes BTK, MAPK, NF-κB and AKT. PMBL has a constitutively activated NF-kB pathway (Rosenwald et al, JEM 2003). Ibrutinib is a selective and covalent BTK inhibitor that inhibits chronic active BCR signaling and downstream signaling including the NF-kB pathway (Herman et al, Blood 2014) and is an active agent in ABC-DLBCL, which also has an activated NF-kB pathway (Griner et al, PNAS 2014). Preclinical studies of ibrutinib in CLL and MCL suggested that the inhibitory effects on cell proliferation were seen in the range of 1.0uM to 25.0uM (Herman et al, Blood 2011; Cinar et al, Leuk. Res 2013). Despite these relatively high IC50 values in vitro, ibrutinib has been highly effective in the treatment of patients with refractory CLL and MCL (Byrd et al, NEJM 2013 and Wang et al, NEJM 2013). Ibrutinib was approved by the FDA (IMBRUVICA, USPI) for patients with MCL in November 2013 or CLL in February 2014, who have received at least one prior therapy. However, the antitumor activity against PMBL of ibrutinib alone and in combination with other agents is currently unknown. OBJECTIVES: We hypothesize that ibrutinib in combination with other agents may be a future targeted agent in the treatment of PMBL. Therefore, we investigated the effect of ibrutinib alone and in combination with dexamethasone, rituximab and carfilzomib on cell proliferation and apoptosis in a PMBL cell line. METHODS: The Karpas-1106P PMBL cell line (DSMZ, Germany) was treated with ibrutinib alone (0-10uM, generously provided by Janssen R&D LLC) and in combination with dexamethasone (1uM), rituximab (20ug/ml) and carfilzomib (5nM) for 5 days treatment. The MTS cell proliferation assay (Promega) and western blot analysis were performed. Significant differences were determined by Student's t -test.The IC50 values were determined with CompuSyn software (Chou and Martin, ComboSyn, 2005). RESULTS: We observed a significant down-regulation of phosphorylated BTK after 5 days with ibrutinib treatment in Karpas-1106P cell line with 1uM ibrutinib (0.178 ± 1.63, p<0.0001) and the expression of total BTK protein was also significantly decreased with 1uM ibrutinib following 5 days of treatment (0.803±0.190, p<0.005) compared to control (1.000±0.00). We also observed a significant dose-dependent decrease in cell proliferation (0-10uM, p<0.0001) in ibrutinib-treated Karpas-1106P PMBL cell line. In combination with dexamethasone, the ibrutinib IC50 values for inhibition of cell proliferation were significantly decreased from 0.71uM ± 0.172 (ibrutinib alone) to 0.04uM ± 0.007 (p<0.005) with 1.0uM dexamethasone combination following 5 days of treatment. Second, in combination with rituximab experiment, the ibrutinib IC50 values was significantly decreased from 0.845uM ± 0.289 (ibrutinib alone) to 0.37uM ± 0.056 (p<0.05) with 20ug/ml rituximab following 5 days of treatment. Lastly, the ibrutinib IC50 values were significantly decreased from 0.72uM ± 0.185 (ibrutinib alone) to 0.002uM ± 0.001 (p<0.005) with 5nM carfilzomib combination following 5 days of treatment. CONCLUSIONS: Ibrutinib alone and in combination with dexamethasone, rituximab and carfilzomib significantly inhibited cell proliferation in the Karpas-1106P PMBL cell line. Ibrutinib's potential as an adjuvant agent in combination treatment in patients with PMBL is supported by these experiments. Future studies will focus on the in vivo effects of ibrutinib alone and in combination with dexamethasone and carfilzomib in a NOD/SCID PMBL xenograft mouse model. Disclosures Galardy: Mission Therapeutics: Research Funding.

Background Acute pancreatitis (AP) is a frequent disorder with considerable morbidity and mortality. Obesity has previously been reported to influence disease severity. Objective The aim of this study was to investigate the association of adipose and muscle parameters with the severity grade of AP. Methods In total 454 patients were recruited. The first contrast‐enhanced computed tomography of each patient was reviewed for adipose and muscle tissue parameters at L3 level. Associations with disease severity were analysed through logistic regression analysis. The predictive capacity of the parameters was investigated using receiver operating characteristic (ROC) curves. Results No distinct variation was found between the AP severity groups in either adipose tissue parameters (visceral adipose tissue and subcutaneous adipose tissue) or visceral muscle ratio. However, muscle mass and mean muscle attenuation differed significantly with p ‐values of 0.037 and 0.003 respectively. In multivariate analysis, low muscle attenuation was associated with severe AP with an odds ratio of 4.09 (95% confidence intervals: 1.61–10.36, p ‐value 0.003). No body parameter presented sufficient predictive capability in ROC‐curve analysis. Conclusions Our results demonstrate that a low muscle attenuation level is associated with an increased risk of severe AP. Future prospective studies will help identify the underlying mechanisms and characterise the influence of body composition parameters on AP.

Abstract Abstract 3865 ZAP-70 expression is a prognostic marker differentiating chronic lymphocytic leukemia (CLL) patients with indolent disease from those rapidly progressing after diagnosis and requiring treatment. We previously demonstrated in four independent clinical cohorts that DNA methylation at a single CpG dinucleotide in the ZAP-70 promoter region impacts on ZAP-70 transcriptional regulation and is prognostic in CLL (Claus et al. J Clin Oncol. 2012;30(20):2483–91). Here, we confirm and extend our previous findings by investigating the significance of ZAP-70 methylation relative to established prognostic biomarkers in CLL: IGHV mutation status or expression of ZAP-70 protein or CD38. DNA methylation analysis of the ZAP-70 core promoter region was conducted in mononuclear cells of 295 untreated CLL patients, previously reported by the CRC (Rassenti et al. Blood 2008;112:1923–30) using MALDI-TOF mass spectrometry (MassARRAY, Sequenom). The 295 patients had a median age of 55 years (range 26–82), 69% were male, and 46% were Rai stage 0, 47% stage I/II, and 7% stage III/IV at diagnosis. ZAP-70 protein and CD38 expression were measured by four-color flow cytometry and IGHV mutational status was assessed, as previously described. By hierarchical clustering, the previously identified single CpG dinucleotide (“CpG unit 1”, position +223 relative to the transcription start) separated patients with high methylation levels across the entire region from those with lower methylation levels at this specific site. With a median follow-up of 3.9 years in 50 patients who had not started treatment and 5.6 years among those still alive (n=196), patients with lower methylation levels at CpG unit 1 had shortened time to first treatment (TTT) and overall survival (OS) (both p<0.0001), confirming the prognostic relevance of this site. In our previous study, an optimal cut-off for CpG unit 1 methylation across four data sets was between 10% and 20%. In this cohort, the optimal cut-off across the two endpoints was between 15% and 25%. A natural gap in CpG unit 1 methylation levels occurred between 20% and 25%, adding potential biological significance, as lower values may represent patient cell samples in which both alleles are unmethylated. Applying a 20% cut-off, TTT and OS were significantly different for those with lower and higher methylation levels (both p<0.0001). The 5-year TTT estimates were 22% (95 % CI: 0.16–0.28) and 64% (95% CI: 0.52–0.74), respectively, for patients with low versus high methylation levels; 5-year OS estimates were 80% (95% CI: 0.73–0.85) and 90% (95% CI: 0.81–0.95). Low ZAP-70 methylation was significantly associated with CLL-cell expression of ZAP-70, CD38, or unmutated IGHV status (each p<0.0001). In a model of TTT, expression of ZAP-70 modified the strong effect of ZAP-70 methylation. In patients with CLL cells lacking ZAP-70 expression, high methylation was protective (hazard ratio [HR]=0.37, 95% CI: 0.23–0.58). In contrast, methylation had no significant effect in ZAP-70+ CLL (HR=1.47, 95% CI: 0.81–2.68); TTT was short regardless of methylation levels (Figure 1). IGHV mutation status and expression of CD38 did not provide significant additional prognostic information. The effect modification described for TTT was not observed for OS (p=0.57). Here, ZAP-70 methylation was the strongest risk factor (hazard ratio=0.32, 95% CI: 0.19–0.54; p<0.0001), and expression of ZAP-70, CD38 or unmutated IGHV did not significantly improve the ability to explain differences in OS. Hence, the prognostic value of ZAP-70 CpG unit 1 methylation was confirmed in a large patient cohort with extensive follow-up. We defined a clinically applicable threshold for ZAP-70 methylation assessment and determined its relative value to current prognostic markers in CLL. ZAP-70 methylation predicted longer TTT among patients with CLL cells lacking ZAP-70 expression, but not among those with ZAP-70+ CLL cells, although this could reflect sampling bias due to the small number of patients (n=16) in our cohort with both high methylation and expression of ZAP-70. Lastly, methylation was the strongest risk factor for OS, and neither IGHV mutation status nor expression of ZAP-70 or CD38 significantly improved the ability to predict prognosis. In conclusion, ZAP-70 DNA methylation represents a clinically valuable biomarker for predicting TTT and OS in previously untreated patients with CLL. Disclosures: Gribben: Gilead: Honoraria; Mundipharma: Honoraria; GSK: Honoraria; Pharmacyclics: Honoraria; Roche: Honoraria; Celgene: Honoraria. Kay:Celgene: Research Funding.