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Abstract BACKGROUND Diffuse large B-cell lymphoma (DLBCL) is a high-grade malignancy and the most common subtype of lymphoma worldwide. Standard therapy with anthracycline-based chemotherapy and rituximab is able to cure about two thirds of patients but a significant proportion will develop relapsed/refractory disease. Salvage treatment options in this setting are limited and only effective in a minority of patients. Most of these patients will eventually die from progressive disease, underscoring the pressing clinical need for the development of new treatment strategies. Checkpoint blockade therapy has demonstrated efficacy in a variety of cancers and involves modulating the host's immune response towards an effective anti-tumoral attack. Trials using programmed cell death protein 1 (PD-1) blockers in advanced hematological malignancies demonstrated remarkable activity in patients with Hodgkin lymphoma. Unfortunately, results in DLBCL were marginal and short lived. The mechanisms underlying the failure of immune checkpoint blockade in DLBCL are not known. To better understand mechanisms of immune evasion we utilized mass cytometry to the study of immune subsets in the tumor microenvironment (TME) of DLBCL. METHODS Viably cryopreserved cell suspensions created from clinical specimens of patients with DLBCL were obtained from our biorepository. Specimens were stained using a cocktail of metal-tagged antibodies recognizing over 32 surface proteins and acquired on the mass cytometer (CyTOF2™, Fluidigm). Control tissue consisted of reactive lymph node (LN) tissue, tonsil and spleen, obtained from patients without diagnosis of cancer. Analysis was performed using Cytobank (www.cytobank.com). Institutional Review Board approved the conduct of this study. RESULTS Thirteen patient samples were available for analysis (7 DLBCL, 6 controls). DLBCL samples originated from LN (4), spleen (2), and adrenal gland (1). Control tissue consisted of tonsil (3), reactive LN (2), and normal spleen (1). Global analysis of CD45+ cells showed that T-cells were more commonly found in the TME of DLBCL than controls (DLBCL 47.2% vs. 24.5% in controls; Figure 1). The difference persisted when the analysis was restricted to LN specimens (50.2% in DLBCL vs. 25.1% in normal LN). On both DLBCL and control samples the majority of T-cells were CD4+ (61.1% in DLBCL; 75.3% in control) compared to CD8+ T-cells (33.3% in DLBCL; 20% in control). DLBCL samples had increased proportion of regulatory T-cells (Treg) compared to controls (16.9% vs. 6.5%), even after stratifying for tissue of origin (Figure 2). Multiparametric analysis of cytotoxic (CD8+) T-cell subsets revealed that majority of CD8+ T-cells in DLBCL has an effector memory (Tem) phenotype (81.9%) compared to tissue-matched control (43%). PD-1 expression was present in the majority of CD8+ T-cells and mapped to the Effector Memory and Effector subsets. The majority of PD-1 positive cells co-expressed CD27 (>80%). One of the samples (DLBCL arising in the spleen from CLL background) also demonstrated bright PD-1 expression in B-cells (Figure 3). CONCLUSIONS Mass cytometry reveals that the tumor microenvironment of DLBCL is enriched with CD4+ T-cells including a higher proportion of Treg compared to tissue-matched control. We also demonstrated that most cytotoxic T-cells in the TME of DLBCL have an effector memory phenotype and express other markers of activation and prior antigenic exposure. Co-expression of PD-1 and CD27 was common in CD8+ T-cells, providing rationale for studies of combination immunotherapy. PD-1 expression in B-cells of DLBCL arising from CLL background deserves further investigation. Figure 1 Proportion of major immune subsets found in the TME of DLBCL (blue) and control tissue (red). Figure 1. Proportion of major immune subsets found in the TME of DLBCL (blue) and control tissue (red). Figure 2 Proportion of regulatory T-cells (Treg) found in the TME of DLBCL (blue) compared to control (red). Bars represent standard error. Figure 2. Proportion of regulatory T-cells (Treg) found in the TME of DLBCL (blue) compared to control (red). Bars represent standard error. Figure 3 viSNE map of CD45+ cells from a patient with DLBCL arising from a CLL background. Each unit on the dot plot represents a cell. Their coordinates on the map are functions of their phenotypic distance. Major subsets were identified using unbiased clustering and annotated (A). Events were color coded according to the expression of representative markers (B-G). A heat map (H) displays median intensity of expression of a comprehensive set of markers included in the panel for each immune subset. Figure 3. viSNE map of CD45+ cells from a patient with DLBCL arising from a CLL background. Each unit on the dot plot represents a cell. Their coordinates on the map are functions of their phenotypic distance. Major subsets were identified using unbiased clustering and annotated (A). Events were color coded according to the expression of representative markers (B-G). A heat map (H) displays median intensity of expression of a comprehensive set of markers included in the panel for each immune subset. Disclosures Ansell: BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding.

Abstract Background: There are a number of ongoing clinical trials assessing next-generation immunochemotherapy (IC) regimens (i.e. RX-CHOP) in DLBCL. In addition to standard clinical trial workup, some trials require central pathology review and/or molecular phenotyping before treatment assignment and/or initiation of therapy. There is concern that these studies may be biasing patient selection due to missing patients with aggressive disease who require immediate therapy and cannot delay their treatment to enroll on a study. Here we examine clinical characteristics and outcome stratified by the time from diagnosis to initiation of therapy from a large observational cohort of patients with DLBCL from the R-CHOP era. Methods: Patients were prospectively enrolled in the University of Iowa / Mayo Clinic SPORE Molecular Epidemiology Resource (MER) within 9 months of diagnosis and followed for relapse, retreatment, and death. Clinical management at diagnosis and subsequent therapies were per treating physician. This analysis includes patients with stage II-IV DLBCL or primary mediastinal B-cell lymphoma (PMBCL) who underwent front-line anthracycline based IC; patients with primary CNS lymphoma, PTLD, or a component of low-grade lymphoma were excluded. Time from diagnosis to treatment was defined as the time from date of first lymphoma-containing biopsy to the initiation of IC therapy; delayed therapy was defined as initiating therapy more than 14 days after diagnosis. Event-free survival was defined as time from diagnosis until progression, retreatment, or death due to any cause. EFS24 was defined as progression free status 24 months from diagnosis. Results: 720 patients with stage II-IV newly diagnosed DLBCL or PMBCL and treated with IC were enrolled in the MER from 2002-2012. Median age at diagnosis was 62 years (range 18-92) and 399 patients (55%) were male. 541 patients (75%) had stage III/IV disease and IPI at diagnosis was 0-1 in 166 patients (23%), 2 in 221 patients (31%), 3 in 222 patients (31%) and 4-5 in 111 patients (15%). 233 of 395 patients (59%) were GCB per Hans. At a median follow-up of 73 months, (range 0-163), 349 (49%) patients had an event and 267 patients died (37%); 37% of patients failed to achieve EFS24. Median time from initial lymphoma diagnosis to initiation of IC was 14 days (range 0-79, IQR=8-23). Patients with delay in therapy (>14 days from diagnosis) were more frequently female (50%, p=0.0051) and older than patients who initiated therapy within 14 days from diagnosis (median age at diagnosis of 63 years vs. 60 years, p=0.0008). Patients with delay in treatment initiation had universally less aggressive disease characteristics, including earlier stage, non-elevated LDH, 0-1 extranodal sites, absence of B-symptoms, lower ECOG PS, and lower IPI (see table). In addition, patients with delayed therapy were enriched for GCB subtype per Hans algorithm (p=0.056). Patients with initiation of therapy within 14 day of diagnosis had significantly worse outcome (EFS24 failure=44%) compared to patients with delayed time to initiation of therapy (EFS24 failure=28%, p<0.0001, figure), which remained significant after adjusting for either IPI or aaIPI (both p<0.005). The association between delayed time to initiation of therapy and EFS24 was observed in both GCB (EFS24 failure = 42% vs. 27%, p=0.019) and non-GCB (EFS24 failure = 46% vs. 27%, p=0.014) subsets by Hans. The lower event rate in delayed therapy patients results in an approximately 10% loss of power if the study was powered based on all patients regardless of timing from diagnosis to therapy. Conclusions: Patients with delayed therapy from diagnosis have less aggressive clinical characteristics compared to patients who initiate treatment within 14 days from diagnosis. Studies with a lengthy trial work-up including central pathology review period may be selecting patients with less aggressive disease based on the patient's ability to delay treatment to complete study enrollment requirements. Furthermore, selection of patients with less aggressive disease may result in underpowered studies due to a lower event rate (fewer events) than expected. This retrospective analysis would suggest that trials in DLBCL should consider streamlined enrollment and therapy initiation to avoid potential selection bias and loss of power. Further assessment of implications on trial design and outcomes by cell of origin in this setting is ongoing. Table Table. Figure Figure. Disclosures Maurer: Kite Pharma: Research Funding; Celgene: Research Funding. Ansell:BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Nowakowski:Morphosys: Research Funding; Bayer: Consultancy, Research Funding; Celgene: Research Funding.

Abstract Background: B-cell lymphomas with a MYC/8q24 rearrangement coupled with translocations involving BCL2 and/or BCL6, often referred to as double hit or triple hit (DH/TH) lymphomas, typically have an aggressive clinical course. A new WHO subtype, "high grade B-cell lymphoma with MYC and BCL2 and/or BCL6 rearrangements", has been established for this entity (Swerdlow et al. Blood; 127: 2375-2390, 2016). Herein we report the treatment and outcomes of DH/TH patients at our institution. Materials and Methods: Cases were identified through the Mayo Clinic Lymphoma Database, University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER), and the Mayo Clinic Cytogenetics Laboratory. Interphase FISH was performed clinically on either paraffin sections of the tissue specimens or on smears of the bone marrow aspirate specimens using break-apart probes for MYC and BCL6, dual fusion probes for IGH/MYC, IGL/MYC, and IGK/MYC, and either a BCL2 break-apart probe or an IGH/BCL2 dual fusion probe. Consensus pathology re-review was performed to define morphology as diffuse large B-cell lymphoma (DLBCL) vs. high-grade B-cell lymphoma (HGBCL). Patients with de-novo DH/TH or diagnosis of DH/TH at the time of transformation of a previously diagnosed low-grade lymphoma and who were treated with anthracycline-based chemotherapy were included in this analysis. Patients with DH/TH first identified at the time of recurrent aggressive B-cell lymphoma were excluded. Overall survival (OS) was defined as time from DH/TH diagnosis to death from any cause. EFS12 was defined as event-free status 12 months from diagnosis of DH/TH. Results: Clinical outcome analysis was performed on 71 patients (Table 1). The median age was 61 years (range 29-82). 60 patients had de-novo DH/TH and 11 patients had transformation of a previously diagnosed low-grade lymphoma. In 65 cases in which there was consensus morphology on pathology re-review, there were 39 (60%) with HGBCL morphology and 26 (40%) with DLBCL morphology. At a median follow-up of 21 months (range 1-87), the event free survival at 12 months was 43%, and the median overall survival (OS) was 22 months (95% CI: 13-NA). The OS at 5 years was 48% (95% CI: 36%-63%). Patients with DH/TH at transformation of previously diagnosed low-grade lymphoma had a very poor outcome (median OS=10.8 months, EFS12 = 10%), which was inferior to patients with de-novo DH/TH (P=0.0069). When compared to all other therapies, patients treated with R-CODOX-M/IVAC had better EFS12 (p=0.03) with a trend in improved OS (p=0.08) though this may be confounded by patient selection bias as these patients were significantly younger (p=0.0001) than patients treated with other anthracycline based regimens (table 1). Conclusion: In "high-grade B-cell lymphoma with MYC and BCL2 and/or BCL6 rearrangements", induction failure occurs early. Although transformation to DH/TH from previously diagnosed low-grade lymphoma is associated with a particularly poor outcome, the overall survival for the entire cohort at 5 years was 48%, suggesting long-term cures in a subset of patients. Treatment with R-CODOX-M/IVAC may result in superior outcomes in patients less than 60 years of age. Table 1 Table 1. Figure Figure. Disclosures Ansell: BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Nowakowski:Celgene: Research Funding; Morphosys: Research Funding; Bayer: Consultancy, Research Funding.

Abstract Introduction: Nivolumab (nivo) is a fully human IgG4 monoclonal antibody (mAb) targeting programmed death receptor-1 (PD-1). Nivo has demonstrated clinical activity and an acceptable safety profile in a phase 1b study (NCT01592370; CheckMate 039) in patients (pts) with relapsed/refractory hematologic malignancies. In pts diagnosed with Hodgkin lymphoma (HL), after a median 86 weeks of follow-up, 7/20 responders maintained a response for >1.5 years (Ansell S et al. Blood 2015;126:583), and after a median follow-up of 67 weeks, clinical activity (investigator-assessed objective response rate) was demonstrated in follicular lymphoma (FL; 40%), diffuse large B-cell lymphoma (DLBCL; 36%), mycosis fungoides (15%), and peripheral T-cell lymphoma (PTCL; 40%) (Lesokhin AM et al. J Clin Oncol 2016;34:2698). CheckMate 039 also included a cohort of pts who had received nivo in combination with ipilimumab (ipi), a fully human mAb targeting cytotoxic T-lymphocyte antigen 4 (CTLA-4). Combination of CTLA-4 and PD-1 blockade has shown superior efficacy compared with nivo or ipi alone in preclinical studies and solid tumor malignancies (Wolchok JD et al. N Engl J Med 2013;369:122; Larkin JM et al. N Engl J Med 2015;373:22; Antonia SJ et al. Lancet Oncol 2016;17:883). The aim of this cohort study was to evaluate the safety and efficacy of combined immune checkpoint blockade (nivo+ipi) in pts with the following hematologic malignancies: HL, B-cell non-Hodgkin lymphoma (B-NHL; FL and DLBCL), T-cell NHL (T-NHL; cutaneous T-cell lymphoma [CTCL] and PTCL]), and multiple myeloma (MM). Methods: Nivo+ipi were given at 3 mg/kg IV and 1 mg/kg IV, respectively, every 3 weeks for 4 doses, followed by nivo monotherapy (3 mg/kg) every 2 weeks for up to 2 years. Pts with any of the above histologies, relapsed or refractory disease after ≥2 prior lines of therapy, and adequate organ function were included in the study. Prior systemic therapy may have included chemotherapy and autologous hematopoietic stem cell transplantation (auto-HSCT). Prior anti-PD-1 therapy and allogeneic (allo)-HSCT were not permitted. The primary endpoint was safety. Secondary endpoints included investigator-assessed objective response rate (ORR), best overall response, duration of response (DOR), and progression-free survival (PFS). Results: In total, 65 pts were treated with nivo+ipi (31 HL, 15 B-NHL, 11 T-NHL, 7 MM, and 1 with primary mediastinal B-cell lymphoma [PMBL] who was included in the overall safety cohort only). Median (range) number of prior systemic therapies was 4 (2, 10; HL), 3, (1, 16; B-NHL), 4 (1, 11; T-NHL), and 5 (2, 20; MM). Among patients with HL, only 13% (4/31) had prior auto-HSCT. 2 pts with HL and 1 with T-NHL proceeded to allo-HSCT after stopping study therapy. Across all cohorts, median follow-up was 11.4 months. 5 pts (8%) discontinued due to a drug-related adverse event (AE). The most common drug-related AEs of any grade were fatigue (17 pts [26%]), pyrexia (15 [23%]), and diarrhea (12 [18%]). 19 pts (29%) had a drug-related AE of grade ≥3. 31 pts (48%) had a serious AE. 24 pts (37%) died: HL 2 pts, B-NHL 11, T-NHL 6, MM 4, PMBL 1. Among those pts, 22 (34%) were from disease progression (HL 2 pts, B-NHL 10, T-NHL 5, MM 4, PMBL 1); no deaths were due to an AE. Clinical outcome data are presented (Table). Conclusions: These are the first reported data of combination checkpoint blockade therapy in hematologic malignancies. Overall, the combination of nivo+ipi in these heavily pretreated patients demonstrated a safety and efficacy profile similar to that previously reported for nivo monotherapy in HL, NHL, and MM. Additional follow-up may further clarify the role of ipi in this cohort of patients. In this predominantly transplant-naïve group of patients with HL, the efficacy of nivo+ipi was similar to that seen in patients with relapsed/refractory HL treated with nivo alone. Funding: Bristol-Myers Squibb (BMS). Medical writing: S Addison, Caudex, funded by BMS Disclosures Ansell: BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Gutierrez:Bayer Health Care Pharmaceuticals, Inc.: Other: Traveling and Lodging- Food and Beverage; E.R. Squibb & Sons, LLC (Bristol Myers Squibb): Consultancy, Other: Travel and Lodging; Incyte Corporation: Consultancy; Pfizer Inc: Consultancy; Merck Sharp & Dohme Corporation: Consultancy, Other: Travel and Lodging; Pharmacyclics LLC, An AbbVie Company: Other: Food and Beverage. Shipp:Cell Signaling: Honoraria; Bristol-Myers Squibb: Consultancy, Research Funding; Bayer: Research Funding; Merck, Gilead, Takeda: Other: Scientific Advisory Board. Moskowitz:Seattle Genetics: Research Funding; Seattle Genetics, Merck: Consultancy. Borello:Bristol-Myers Squibb: Research Funding, Speakers Bureau. Popa-Mckiver:Bristol-Myers Squibb: Employment, Equity Ownership. Farsaci:Bristol-Myers Squibb: Employment. Zhu:Bristol-Myers Squibb: Employment. Armand:Sequenta Inc: Research Funding; Pfizer: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Infinity Pharmaceuticals: Consultancy; Roche: Research Funding; Merck: Consultancy, Research Funding.

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 Background: Peripheral T-cell lymphomas (PTCLs) comprise a heterogeneous group of relatively uncommon and generally aggressive non-Hodgkin lymphomas. Recent studies have begun to reveal their mutational landscape, such as the recurrent mutations affecting RHOA, IDH2, and TET2 in angioimmunoblastic T-cell lymphomas (AITLs) and related PTCLs. Here, we studied the exomes of 63 PTCLs to address several unanswered questions: (1) How frequently do PTCLs have mutations with a strong rationale for being actionable using clinically available targeted therapies? (2) What pathways are enriched in PTCLs that could point to additional targeted therapies? (3) What additional recurrent mutations exist that may provide insight into PTCL pathogenesis and classification? Methods: We performed exome capture and sequencing in 63 frozen PTCL samples (with matched germline controls from 22), including 13 PTCLs, not otherwise specified; 6 AITLs; 37 anaplastic large cell lymphomas (ALCLs: 12 ALK+, 19 ALK-, and 6 cutaneous); 4 extranodal NK/T-cell lymphomas; 2 cutaneous T-cell lymphomas, and 1 enteropathy associated T-cell lymphoma. Following primary variant calling, data were filtered by removing variants that were: outside the capture region, polymorphic (0.1% in ExAC), seen in paired germline or 50 healthy controls, within repetitive elements, or synonymous. Potentially actionable variants required published evidence for altering protein function and demonstrated in vivo or in vitro sensitivity to an available targeted agent (including open clinical trials). Mutated cancer genes (COSMIC) were examined for enrichment of KEGG canonical signaling pathways. A recurrent mutation encoding MSC E116K was validated in tumor DNA and MSC protein was examined by immunohistochemistry. Results: Of 25 unique variants with published evidence suggesting actionability (including ErbB, JAK/STAT, and RAS genes), at least one variant was present in 16/63 patients (25%). Variants in any COSMIC gene were seen in 55/63 samples (87%). Top genes were STAT3, RHOA, ARID1A, MLL2 (KMT2D), PTPRB, TP53, and TET2. The KEGG ErbB pathway was most significantly enriched for mutated genes in our dataset (EGFR, ERBB2, ERBB3, ERBB4, and others; q=3.88x10-3), followed by neurotrophin and mitogen-activated protein kinase signaling pathways. Among 25 recurrent non-synonymous variants, we identified MSC E116K with predicted gain-of-function exclusively in 3 ALK-ALCLs and 1 cutaneous ALCL. All mutated cases strongly expressed MSC protein. Among 96 cases, 13/18 ALK-ALCLs (72%) were positive for MSC, compared to 9/78 (12%) from other PTCL subtypes. Conclusions: Mutations that were potentially actionable based on published variant-specific data were identified in 25% of PTCLs, indicating promise for the role of sequencing in individualizing therapy. Additionally, remaining variants were enriched for several targetable pathways, most significantly ErbB. A novel recurrent mutation, MSC E116K, was seen exclusively in ALK-ALCLs (systemic and cutaneous). MSC protein, a repressor of E2A-mediated transcription of targets such as MYC, was expressed in most ALK- ALCLs and generally was absent in other PTCL subtypes. This finding extends evidence for a genetic relationship between systemic and cutaneous ALCLs and suggests MSC may help distinguish ALK- ALCLs from other PTCLs. Disclosures Link: Genentech: Consultancy, Research Funding; Kite Pharma: Research Funding.

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 Background: Adult T-cell acute lymphoblastic leukemia / lymphoma (T-ALL) is an rare and aggressive hematological malignancy with overall survival (OS) according to the UKALL XII/E2993 of 48% at 5 years (Marks et al, Blood 2009). Over the last decade, the incorporation of L-asparaginase, dose intensification (similar to pediatric protocols), availability of newer agents such as clofarabine (Dec 2004) and nelarabine (Oct 2005) have been shown to improve outcomes. We carried out this study to see if the above mentioned changes in treatment have translated to an OS benefit. Methods: After due IRB approval, adults diagnosed with T-ALL from 1990-2014 at Mayo Clinic were identified. All clinical and pathologic data was retrospectively reviewed Comparative analysis was performed based on year of diagnosis before and after 2005 (Group 1, diagnosis prior to 2005, and Group 2, diagnosis post 2005). Survival was estimated using the Kaplan-Meier Method and log-rank test. Chi-square test was used to compare variables. Results: A. Patient Characteristics: Between 1990 and 2014, a total of 92 consecutive patients (pts) with T-ALL were identified. Median age at diagnosis was 33 years (range; 18-88 years) with 72% males. Distribution of pts by year of diagnosis was as follows: Group 1(n= 47) (51%), and Group 2 (n=45) (49%). Median overall survival was 97.2 months. Median follow up for Group 1 was 50 months, during which time 23 (39%) deaths were documented, and 22.8 months (0.9 - 115.4) for Group 2 at which time19 deaths (42%) were documented (p= 0.04). Pts in Group 2 were older than Group1 (median age 41 vs 27 years (p= 0.004). Apart from age, the two groups were similar in other characteristics (Table 1). B. Therapy received by patient groups: We observed a high use of L-asparaginase containing regimens in Group 1 vs Group 2 [35(74%) pts vs 19 (42%), p=0.0013]. In contrast there was an increase in use of Hyper-CVAD in Group 2; 23(51%) vs. 3 (6%) (p<0.0001). There was no difference in the use of intensive pediatric protocols (p=0.11). There was a trend of increased use of nelarabine in Group 2, however clofarabine usage was not different (p=0.09, and p=0.6 respectively) (Table1). Allogenic stem cell transplant was offered more in Group 2 compared to Group 1, 16 (36%) patients vs. 10 (21%) patients (p=0.0009). In contrast, 7 (19%) patients underwent autologous transplantation in group 1 vs. none in group 2 (p=0.0009). C. Overall outcome by patient groups: We did not observe any difference in CR, or relapse rates among the two groups. The median OS and time to relapse were also not statistically different among Group 1 and 2 [102.6 vs 61.8 months Figure A, and 7.1 vs 14.1 months respectively]. Furthermore, age adjusted survival analysis was also not statistically significant. Conclusion: In this large cohort of adult T-ALL patients, in spite of significant advances in treatment strategies over the last two decades, we observed no difference in overall and relapse free survival prior to and after 2005. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Al-Kali: Celgene: Research Funding. Thompson:Kite Pharma: Research Funding. Witzig:Spectrum: Research Funding; Novartis: Research Funding; Celgene: Research Funding; Amgen: Honoraria; Valeant Pharma: Equity Ownership.

Abstract While extensive, the genetic studies of DLBCL tumors to date have primarily focused on somatic mutations that are associated with development of lymphoma, i.e., driver mutations. Identification of key genetic events that impact and/or predict response to therapy and clinical outcome of lymphoma patients has not been accomplished. In an exploratory study, we used whole-exome sequencing to identify novel biomarkers that can predict which patients have an aggressive form of DLBCL, and therefore would likely benefit from a different and more aggressive treatment plan. Using whole-exome sequencing data from 54 newly diagnosed DLBCL patients, we evaluated the association of somatic coding single nucleotide (cSNV) and copy number (CNV) variants with aggressive DLBCL. All patients were treated with R-CHOP or immunochemotherapy, and disease aggressiveness was based on relapse, with patients classified as having aggressive disease (AD) (n=13, defined as treatment failure, relapse, or progression within 24 months of diagnosis) versus non-aggressive disease (n=41, defined as achieving at least 24 months of relapse-free survival). An in-house algorithm, patternCNV was used to detect somatic CNVs. Logistic regression was used to assess statistical significance. In the cSNV analysis, 24 genes were found to be significantly (p ≤ 0.05) associated with AD. Of these genes, CIITA (p=0.01) was previously identified as a mutational target in DLBCL and is a recurrent gene fusion partner in lymphoid cancers. Metacore analyses showed that seven of these genes, including CIITA, can be placed in the same regulatory network centered around CREB1. Interestingly, the CREB binding protein (CREBBP) is a known target of pathogenic mutations in DLBCL. In the CNV analyses, we identified 245 gene amplifications and 209 gene deletions associated with AD (p ≤ 0.05). Deleted genes were localized in three major chromosomal regions, 6p22.3-6p22.1 (26 genes), 6q13-6q16.3 (31 genes), and 6q21-6q24.2 (86 genes). In the CNV amplification analysis, the genes were localized in two major chromosomal regions, 3q12.3-3q29 (90 genes) and 19q13.12-19q13.43 (122 genes). We also quantified the association of each regional deletion/amplification with patient outcome. As expected, each deleted region was univariately associated with time to relapse: 6p22.3-6p22.1 (HR = 7.19, 95% CI: 2.66-19.46, p=1.33x10-5), 6q13-6q16.3 (HR = 4.44, 95% CI: 1.74-11.32, p=6.84x10-4), and 6q21-6q24.2 (HR = 5.42, 95% CI: 2.12-13.87, p=9.23x10-5) as well as the two amplification regions: 3q12.3-3q29 (HR = 4.60, 95% CI: 1.49-14.24, p=4.27x10-3) and 19q13.12 -19q13 (HR = 13.79, 95% CI: 4.39-43.34, p=2.81x10-8). Deletions at 6q21-6q24.2 have been previously reported in DLBCL and two tumor suppressor genes associated with lymphoma pathogenesis are localized in the region, TNFAIP3 (p=0.14) and PRDM1 (p=0.02), the latter of which was significantly associated with AD. However, the genes in the 6p21 locus that were most significant (p=0.002) were SLC22A16, GPR6, SOBP, MATTL24, DDO, and REV3L. SLC22A16, which also had cSNVs in two tumors, is an organic cation transporter that has been shown to transport chemotherapeutic drugs including doxorubicin. Successful drug response has been correlated with the level of activity and expression of this transporter in tumor cells. To determine if expression of SLC22A16 would have an impact on doxorubicin transport, and may therefore impact response to R-CHOP we overexpressed either an empty vector control or SLC22A16 in OCI-Ly7 DLBCL cells, which do not express endogenous SLC22A16 mRNA. We found that OCI-Ly7 cells expressing SLC22A16 have increased 14C-doxorubicin uptake and are more sensitive to doxorubicin-induced cell death when compared to the empty vector control cells. These data suggest that loss of SLC22A16 expression through gene deletion could impact the ability of DLBCL cells to respond to therapy and indicates an aggressive form of the disease. In summary, our data are the first to use whole exome sequencing to identify genetic variants associated with aggressive DLBCL, which will require replication in additional samples. Nevertheless, our data highlight the role for somatic CNVs in patient outcome and we biologically validate the potential impact of deletions in SLC22A16 at 6p21. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 1572 Background: The incidence of histologic transformation (HT) of follicular lymphoma (FL) to an aggressive lymphoma has been reported to range from 10–75%. The British Columbia Cancer Agency reported a risk of 3% per year (Al-Tourah AJ, et al J Clin Oncol 2008;26: 5165–5169). The hallmark of HT is the acquisition of new somatic mutations and genomic instability within the malignant clone. DNA damaging agents such as radioimmunotherapy (RIT) may increase the risk of HT by inducing additional DNA damage. The incidence of HT after RIT is unknown. This single institution study analyzes the risk of histologic transformation (HT) in patients with FL after RIT treatment with yttrium-90 ibritumomab tiuxetan. METHODS: The Mayo Clinic Lymphoma Data Base were queried for all patients having received a single dose of yttrium-90 ibritumomab tiuxetan for FL. The Mayo Clinic Lymphoma Database includes all consecutive adult patients diagnosed with lymphoma evaluated at Mayo Clinic Rochester. The prospective radioimmunotherapy lymphoma database was also utilized (GAW). The diagnosis of FL was defined by current WHO Classification, and all cases were centrally reviewed. HT was defined as the development of histologically proven diffuse large B cell lymphoma in patients with history of Grade 1 or 2 FL (change to Grade 3A/B FL was not included). Patients having demonstrated evidence of HT prior to RIT were excluded from this analysis. RESULTS: 119 consecutive patients were included. 64(54%) were male. The median follow-up was 57(range 2–175) months. RIT was administered as treatment for progressive FL in 96.6% of patients. RIT was administered as a consolidation therapy in 4(3.4%) patients. The median number of prior systemic treatments was 2 (range 0–10). The median time from diagnosis to RIT was not different in patients with HT vs. those without HT 44 (10–186) vs. 40 months (range 1–394) (p=0.30), respectively. The median time to HT from RIT was 13 months (range 1–97). Four patients had HT within 3 months of RIT. The median survival after HT was 15 months (range 1–147). The estimated five year risk of transformation from RIT by Kaplan-Meier in patients with fludarabine exposure and those without exposure was 55% and 29% (p=0.0498). 10 year risk from the time of RIT was 64% with fludarabine exposure and 31% without (p=0.0498). The relative risk of HT after RIT in patients previously treated with fludarabine was HR=4.1 (95% CI: 2.0–7.9). The median number of prior therapies in patients with HT vs. patients without HT was 2 (0–6) and 1 (0–10) (P=0.33). CONCLUSIONS: To our knowledge, our data is the first to estimate the risk of HT after the use of RIT. The estimated overall risk of HT of 31% at 10 years from diagnosis in patients without fludarabine exposure is similar to that of patients in whom RIT has not been administered. The estimated overall risk of HT of 64% in those patients having received purine analogues appears to be increased. We conclude that RIT appears to not increase the risk of HT in patients who did not receive prior purine analogue therapy. The differences in extent and mechanisms involved in DNA damage induced by radiation vs. purine analogues may play a role in clinical differences in observed rates of HT. Disclosures: No relevant conflicts of interest to declare.