Maurer, Matthew J.

Abstract Abstract 1573 Background. Treatment of non-Hodgkin lymphoma (NHL) can lead to the development of cardiovascular disease (CVD). In a previous report, we found that the risk of CVD in patients with NHL diagnosed in the recent treatment era (since 2002) was approximately 1% per year after the initial diagnosis of lymphoma. We evaluated the association of 30 candidate single nucleotide polymorphisms (SNPs) in genes associated with anthracycline-induced cardiotoxicity in children (SLC10A2, SLC28A3, ABCC1, ABCB3, CBR3, FMO2, SPG7) and genes associated with venous thromboembolism (VTE) in adults (ABO, F2/CKPA5, F5, F11, KLKB1, SCUBE1, SLC19A, SELP) with the risk of new onset cardiovascular disease in a cohort of NHL patients. Methods. All patients were from the Mayo component of the Molecular Epidemiology Resource (MER) of the University of Iowa/Mayo Clinic Lymphoma SPORE, and were enrolled from 2002–2008. The MER offers enrollment to all consecutive patients with newly diagnosed NHL who are US residents and age >18 years. Clinical data from the time of diagnosis and treatment data are abstracted from medical records using a standard protocol. Patients are prospectively contacted via telephone or in person per protocol every 6 months for the first 3 years from diagnosis and yearly afterwards to assess disease status and development of comorbid conditions. CVD events, including heart failure (HF), myocardial infarction (MI), arrhythmia, pericarditis, and valvular heart disease, occurring after diagnosis were identified during follow-up and validated against medical records. HF was validated with the Cardiovascular Health Study Criteria and/or the Framingham Criteria. MI was validated using case definition standards of coronary heart disease, while arrhythmia, pericarditis, and valvular heart disease were validated using clinical definitions. Genotyping was conducted using a custom Illumina iSelect platform. Cox regression was used to estimate Hazard Ratios (HRs) and 95% confidence intervals (CI) for individual SNPs with time to CVD, with death modeled as a competing risk. Each SNP was modeled with the most prevalent homozygous genotype used as the reference group, and each SNP was modeled as having a log-additive (per minor allele) effect in the regression model. An ordinal test was used to assess the trend, and p<0.05 was considered statistically significant. Results. There were 805 newly diagnosed NHL patients with no history of CVD at time of lymphoma diagnosis and had genotype data available for analysis. The median age at diagnosis was 61 years (range, 21–93) and 53% were male. The most common subtypes were follicular lymphoma (33%), diffuse large B-cell lymphoma (29%), and marginal zone lymphoma (14%). Anthracycline-based chemotherapy as initial therapy or at re-treatment was used in 51% of the patients and radiation therapy was used in 18%. Median follow-up of all cases was 59 months (range, 1–105). There were 36 incident CVD events (4.5%) and 139 deaths (17%). The most common CVD events were arrhythmia (N=17) and heart failure (N=14). There was no association with any of the anthracycline-induced cardiotoxicity genes and risk of CVD overall or in the subgroup of patients (N=406) who received an anthracycline. Of the venous thromboembolism (VTE) SNPs, rs4253399 in F11 (coagulation factor 11) with a minor allele frequency of 0.39 was associated with risk of CVD (HR=2.14; 95%CI 1.35–3.40; p=0.001). When restricted to anthracycline-treated patients, the HR for rs4253399 became stronger (HR=2.56; 95%CI 1.39–4.72; p=0.003), and an ABOSNP (rs660340) with a minor allele frequency of 0.43 became significant (HR=2.14; 95%CI 1.13–4.04; p=0.02). Conclusions. This is the first report that genes involved in VTE also predict CVD risk in NHL patients, particularly those treated with anthracycline chemotherapy. However, SNPs from genes previously associated with anthracycline-induced cardiotoxicity were not associated with CVD risk in this cohort, although those SNPs were identified in children and may not apply to adults. Future research will need to validate these findings and identify additional genetic markers that can be incorporated into risk assessment for CVD in this patient population. Disclosures: No relevant conflicts of interest to declare.

Abstract BACKGROUND: Diffuse large B-cell lymphoma, not otherwise specified (DLBCL), though defined as one disease entity, consists of two main cell-of-origin (COO) subtypes, germinal center B-cell like (GCB) and activated B-cell like (ABC), with the latter predicting a significantly worse prognosis using conventional chemotherapy. Up to 40% of all patients diagnosed with DLBCL will experience relapse, and outcomes are generally poor in this setting. In this study, we examine the proportion of GCB vs. non-GCB subtypes at initial diagnosis and at time of relapse, and assess the incidence of reclassification from one subtype to another. 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. All relapse events were validated by review of the medical record. This analysis includes patients diagnosed with DLBCL who underwent initial treatment and subsequently experienced relapse as confirmed by biopsy. Immunohistochemical staining data including CD10, Bcl-6, and Mum-1, were collected from available pathology reports and classified to either GCB or non-GCB subtypes as predicted by the Hans algorithm. We compared subtype classification and individual immunohistochemical data both at the time of diagnosis and relapse. The overall subtype agreement between the two diagnostic time points was assessed. RESULTS: 1023 patients with newly diagnosed DLBCL were enrolled in the MER from 2002 - 2012. Of those, 249 had documented disease relapse. Of those analyzed, a total of 43 patients had COO classification based on the Hans algorithm from tissue biopsy at both diagnosis and relapse. Thirty patients were characterized as GCB DLBCL on initial presentation, and upon relapse 28 were noted to be GCB, while 2 were noted to be the non-GCB subtype. Of the 13 that were characterized as non-GCB on initial presentation, 10 remained non-GCB while 3 were reclassified as GCB. The overall agreement of DLBCL COO phenotypes between initial diagnosis and relapse was 88%. Seven percent of those initially diagnosed as GCB were reclassified as non-GCB subtype; in contrast, 23% of those initially diagnosed as non-GCB had changed to GCB upon relapse. Similar analysis was performed on individual immunohistochemical staining factors including CD10, Bcl-6, and Mum-1, and we observed overall agreement of 88%, 87%, and 91%, respectively. CONCLUSIONS: A majority of patients with relapsed DLBCL exhibit similar COO phenotypes at initial presentation and at relapse, and the incidence of reclassification from one subtype to another is uncommon. This suggests that the initial treatment regimen for DLBCL rarely alters the basic cancer phenotype when immunohistochemistry laboratory technical factors and pathologist interpretive discrepancies are excluded as causes for this change. However, reclassification from GCB to non-GCB subtypes is observed in a minority of cases, which may affect the overall outcome and response to treatment. Further studies are needed using gene expression to categorize COO and to examine the factors surrounding the time of relapse for possible harbingers of relapse as well as the behavior and outcome of reclassified DLBCL. Table Table. Disclosures Ansell: BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding.

Abstract Background: Peripheral T-cell lymphomas (PTCLs) comprise a group of non-Hodgkin lymphomas (NHLs) of mature T-cell origin with generally aggressive clinical behavior. Most systemic PTCLs are treated with anthracycline-based combination chemotherapy; however, outcomes remain relatively poor for most subtypes except ALK-positive anaplastic large cell lymphoma (ALCL). We have used landmark analyses based on event-free survival (EFS) to identify clinically useful endpoints in B-cell NHLs, with EFS at 24 (EFS24) months identified to stratify overall survival (OS) in aggressive B-cell NHL. Here we examined the ability of EFS24 to predict subsequent OS in a large, multinational PTCL cohort. Methods: A cohort of newly diagnosed PTCL patients treated with curative intent combination chemotherapy regimens was assembled from the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER), Swedish Lymphoma Registry (SWE), and British Columbia Cancer Agency (BCCA). Subtypes included ALK-negative ALCL, angioimmunoblastic T-cell lymphoma (AITL), PTCL, not otherwise specified (NOS), enteropathy-associated T-cell lymphoma (EATL), extranodal NK/T-cell lymphoma, nasal type (ENKTL), and hepatosplenic T-cell lymphoma (HSTCL). Patients were followed based on local institution guidelines, and EFS was defined as time from the date of pathologic diagnosis to progression, re-treatment, or death due to any cause. EFS24 was defined as being alive and event-free 24 months from diagnosis. Subsequent OS was defined as time from achieving EFS24 (24 months from diagnosis) or time from progression in patients failing to achieve EFS24 (progression within 24 months of diagnosis). OS was compared to the age-, sex-, and country-matched general population using United States, Sweden, and British Columbia rate tables via standardized mortality ratios (SMR) and expected survival. Results: 775 patients diagnosed from 2000-2012 were included in the combined analysis with diagnosis by the WHO classification at the respective institutions (MER=138, SWE=422, BCCA=215). Median age at diagnosis was 64 years (range 18-89) and 63% were male. Patient characteristics are summarized in the table. 736 (95%) received anthracyline-based therapy at diagnosis. At a median follow-up of 77 months (range 1-185), 516 patients (67%) had died. The percentage of patients achieving EFS24 was similar across the 3 cohorts (MER=39%, SWE=35%, BCCA= 36%, combined=36%). Median survival after progression within the first 24 months was only 4.9 months (95% CI: 3.8-5.9), with a 5-year OS of 11% and SMR of 46.4 (95% CI: 41.8-51.3). In contrast, median survival after achieving EFS24 was not reached, with a 5-year OS of 78% (95% CI: 73%-84%). This was inferior to the expected survival of 92% in the age-, sex-, and country matched population (SMR=3.16; 95% CI: 2.48-3.98). In EFS24 subgroup analyses, more favorable outcomes were observed in younger patients (age <=60 years, N=137, 5-year survival of 91% vs. 98% expected) and in patients receiving autologous stem cell transplant in first remission (N=72, 5-year survival of 88% vs. 96% expected). Patients achieving EFS24 who were not transplanted in first remission (N=189) had a 5-year survival of 74% vs. 90% expected. Conclusions: Assessment of EFS24 stratifies subsequent outcome in PTCL. Patients with early relapse from PTCL have extremely poor outcomes. However, over one-third of patients with PTCL remain in remission two years from diagnosis after initial chemotherapy and have encouraging OS rates, although survival remains significantly worse than the matched general population. Subset analysis suggests that younger patients and patients who receive autologous stem-cell transplant in first CR have 5-year survival rates that approach 90%, though still below the expected survival of the background population. The marked differences in OS after failing or achieving EFS24 in PTCL patients suggest that this endpoint may be useful for patient counseling, as a clinical trial endpoint, and as an endpoint to assess novel biomarkers for risk stratification. Table Table. Figure 1. Figure 1. Figure 2. Figure 2. Disclosures Maurer: Celgene: Research Funding; Kite Pharma: Research Funding. Jerkeman:Mundipharma: Research Funding; Amgen: Research Funding; Janssen: Research Funding; Gilead: Research Funding; Celgene: Research Funding. Connors:Seattle Genetics: Research Funding; Millennium Takeda: Research Funding; NanoString Technologies: Research Funding; F Hoffmann-La Roche: Research Funding; Bristol Myers Squib: Research Funding. Ansell:BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding.

Abstract Background: Secondary CNS involvement (SCNS) is a detrimental complication seen in ~5% of patients with diffuse large B-cell lymphoma (DLBCL) treated with modern immunochemotherapy. Data from older series report short survival following SCNS, typically <6 months. However, data in patients that develop SCNS following primary therapy that contains a rituximab-based-regimen as well as the impact of more intensified treatment for SCNS are limited. Aims: The aims of this study were to i) describe the natural history of SCNS in a large cohort of patients treated with immunochemotherapy, and ii) determine prognostic factors after SCNS. Patients and methods: We performed a retrospective study of patients diagnosed with SCNS during or after frontline immunochemotherapy (R-CHOP or equivalently effective regimens). SCNS was defined as new involvement of the CNS (parenchymal, leptomeningeal, and/or eye) in patients without known CNS involvement at the time of first pathologic diagnosis of DLBCL. Patients were identified from local databases and/or regional/national registries in Denmark, Canada (British Columbia), Australia, Israel, US (University of Iowa/Mayo Clinic SPORE), and England (Guy's and St. Thomas' Hospital, London). Clinico-pathologic and treatment characteristics at the time of SCNS were collected from medical records. Results: In total, 281 patients with SCNS diagnosed between 2001 and 2016 were included. Median age at SCNS was 64 (range 20-93) years and male:female ratio was 1.3. SCNS occurred as part of first relapse in 244 (87%) patients and 112 (40%) had documented concurrent systemic disease at the time of SCNS. The median time from initial DLBCL diagnosis to SCNS was 9 months, which was similar for patients treated with (N=76, 27%) or without upfront CNS prophylaxis (N=205, 73%) (10 vs 9 Mo; P=0.3). The median post-SCNS OS was 4 months (interquartile range 2-13) and the 2yr survival rate was 20% (95% CI 15-25) for the entire cohort. Associations between clinicopathologic features, management strategy, and post-SCNS survival are shown in Table 1, which excludes patients who did not receive any treatment against SCNS, patients treated with steroids alone, and a patient with unavailable treatment information (n=43, 15%). In multivariable analysis, performance status >1, concurrent leptomeningeal and parenchymal involvement, SCNS developing before completion of 1st line treatment, and combined systemic and CNS involvement by DLBCL were associated with inferior outcomes. Upfront CNS prophylaxis did not influence post-SCNS OS. High-dose methotrexate (HDMTX) and/or platinum based treatment regimens (i.e. ICE, DHAP, or GDP [+/- IT treatment and/or radiotherapy], N=163) for SCNS were associated with reduced risk of death (HR 0.45 [0.32-0.62, P<0.01]). The 2yr post-SCNS survival for patients treated with HDMTX and/or platinum-based regimens (N=163) was 29% (95% CI 22-37). For patients with isolated parenchymal SCNS, single modality treatment with radiotherapy resulted in 2-yr OS of 19% (95% CI 8-35). For the subgroup of 49 patients treated with HDMTX- and/or platinum-based regimens for isolated SCNS after 1st line DLBCL treatment and with performance status 0 or 1, the 2yr post-SCNS survival was 46% (95% CI 31-59). Overall, 9% of the patients received HDT with ASCT as part of salvage therapy at the time of SCNS. Amongst 36 SCNS patients without systemic involvement and in CR following intensive treatment (HDMTX and/or platinum-based treatments), 11 patients consolidated with HDT had similar outcomes to 25 patients treated without consolidating HDT (P=0.9, Fig 1) Conclusions: Outcomes for patients with SCNS remain poor in this large international cohort of patients from the immunochemotherapy era. Combined parenchymal and leptomeningeal disease, presence of systemic disease concurrent with SCNS, performance status >1, and SCNS developing during first line treatment were independently associated with inferior OS. However, a significant fraction of patients with isolated SCNS after first line DLBCL treatment and with good performance status may achieve long-term remissions after intensive regimens for SCNS. Disclosures El-Galaly: Roche: Consultancy, Other: travel funding. Cheah:Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Gilead Sciences: Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Membership on an entity's Board of Directors or advisory committees, Other: Speaker's Bureau. Kansara:Celgene: Honoraria. Connors:Bristol Myers Squib: Research Funding; NanoString Technologies: Research Funding; F Hoffmann-La Roche: Research Funding; Millennium Takeda: Research Funding; Seattle Genetics: Research Funding. Sehn:roche/genentech: Consultancy, Honoraria; amgen: Consultancy, Honoraria; seattle genetics: Consultancy, Honoraria; abbvie: Consultancy, Honoraria; TG therapeutics: Consultancy, Honoraria; celgene: Consultancy, Honoraria; lundbeck: Consultancy, Honoraria; janssen: Consultancy, Honoraria. Opat:Roche: Consultancy, Honoraria, Other: Provision of subsidised drugs, Research Funding. Seymour:Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Villa:Celgene: Honoraria; Lundbeck: Honoraria; Roche: Honoraria, Research Funding.

Abstract Background. Diffuse large B-cell lymphoma (DLBCL) is curable for the majority of patients treated with anthracycline based immunochemotherapy (IC). While most patients achieve response to initial therapy, a subset of patients are refractory to initial IC or become refractory to subsequent salvage therapies. Prognosis in this setting is very poor. Here we determine the incidence of refractory disease from a large cohort of DLBCL prospectively followed from diagnosis in the IC era and assess outcomes in these patients. Methods. Patients were prospectively enrolled in the University of Iowa/Mayo Clinic Lymphoma SPORE Molecular Epidemiology Resource (MER) within 9 months of diagnosis. Patients were followed for relapse, retreatment, and death; all events were validated by medical record. This analysis includes patients with DLBCL or primary mediastinal B-cell lymphoma (PMBCL) who received initial treatment of anthracycline based immunochemotherapy; patients with primary CNS lymphoma or post-transplant lymphoproliferative disorders were excluded. Response to therapy was retrospectively classified per 2007 Revised Response Criteria for Malignant Lymphoma from available clinical and radiology records. Refractory disease was defined as having a best response to any systemic therapy of stable disease (SD), progressive disease (PD), or relapse within 12 months of autologous stem cell transplantation (SCT). We also examined patients with transient response to IC as defined by achieving an interim response (CR or PR) but having progressive disease at or prior to the end of the planned number of cycles of IC. Results. 1039 patients with DLBCL or PMBCL lymphoma were enrolled in the MER from 2002-2012 and treated with R-CHOP or comparable IC. Median age at diagnosis was 62 years (range 18-91) and 577 (56%) were male. At a median FU of 60 months (range 1-148), 136 patients developed refractory disease. The median age at diagnosis of patients with refractory disease was 62 years (range 19-87). The cumulative incidence of refractory DLBCL was 11.3% at 2 years (95%: CI: 9.5-13.4) and 13.1% at 5 years (95% CI: 11.2-15.4). The median overall survival after becoming refractory was 4.7 months (95% CI: 4.1-5.5) with a 1 year survival rate of 21% (95% CI: 15%-30%). The median number of therapies before becoming refractory was 2 with 35 patients becoming refractory following their first therapy (i.e. IC), 83 patients becoming refractory after their 2nd therapy, and 23 patients becoming refractory after their 3rd or later therapy; 27 patients had received stem cell transplant prior to becoming refractory. Outcomes were poor regardless of when patients became refractory (figure). Patients received a median (range) of 2 (0-8) treatments after becoming refractory with 40% (N=54) attempting subsequent platinum based salvage therapy and 14% (N=9) proceeding to ASCT, of which only 6 remain alive in long-term remission. 41 patients (30%) were treated on clinical trials after becoming refractory. Response rate for the first therapy after becoming refractory was 21%, while 29% of patients had a response to any subsequent therapy. Once patients became refractory, there was no difference in survival based on response at end of initial IC (p=0.33), cell of origin at diagnosis (p=0.64), IPI at diagnosis (p=0.33), or age when refractory (p=0.66). Outcomes in patients with transient response to IC (n=58) were poor, with the majority (N=37, 63%) becoming refractory to subsequent therapy. Median OS after first relapse was 6.7 months in patients with transient response to IC, which was equivalent to patients refractory to IC (p=0.99). The majority of patients with transient response to IC (69%) were next treated with platinum based salvage therapy which had a response rate of 40%. Ultimately 15 of the 58 patients (26%) proceeded to transplant, of which only 5 (9%) achieved long-term remission. Conclusions. Approximately 13% of patients with DLBCL become refractory to treatment in their disease course. Outcomes once patients become refractory are extremely poor regardless of when patients become refractory. Standard prognostic factors are no longer predictive of outcome and stem cell transplant had limited benefit in this group of patients. Patients with transient response to initial immunochemotherapy should be included when classifying patients as refractory. New therapy strategies are needed in the refractory setting. Figure 1. Figure 1. Disclosures Maurer: Kite Pharma: Research Funding. Thompson:Kite Pharma: Research Funding. Farooq:Kite Pharma: Research Funding. Cerhan:Kite Pharma: Research Funding. Ansell:Bristol-Myers Squibb: Research Funding; Celldex: Research Funding. Link:Genentech: Consultancy, Research Funding; Kite Pharma: Research Funding.

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

Abstract The lymphocyte-to-monocyte ratio at diagnosis (LMR-D) has been reported to be a prognostic factor for clinical outcomes in both T-cell and B-cell lymphomas. However, there are no reports testing the prognostic ability of LMR-D in patients diagnosed with de novo double/triple hit diffuse large B cell lymphoma (DLBCL). Thus, we set out to investigate if the LMR-D is a prognostic factor for survival in de novo double/triple hit lymphomas. From 10/5/1998 until 1/16/2015, thirty-four patients with de novo double/triple hit DLBCL were identified for this study. Double and triple hit were defined by interphase FISH evaluating three fusion signals to identify the BCL2 translocation and IGK/MYC D-FISH probe to identify whether the partner is IG or non-IG. Interphase fluorescence in situ hybridization (FISH) was performed on paraffin sections using probes that included 8q24 (5'MYC, 3'MYC); t (2;8), IGK/MYC; t(8,14), MYC/IGH; t(8;22), MYC/IGL; 3q27 (3'BCL6, 5'BCL'6); and 18q21 (3'BCL2, 5'BCL2). The cohort included 14 females and 20 males. The median follow-up for the cohort was 9.0 months (range: 0.4-72.6 months). Using the median for the LMR-D as the cut-off value, patients with a LMR-D ≥ 1.2 experienced superior overall survival (OS) [Hazard ratio (HR) of 0.127, 95% confidence interval (CI) of 0.019-0.530, p < 0.004] and progression-free survival (PFS) [HR of 0.107, 95 CI of 0.024-0.335, p < 0.0001]. The median follow up for OS for patients with a LMR-D ≥ 1.2 was not reached with a 5-year OS rate of 82% (95% CI of 49%-95%) compared with a median follow-up of 10 months for patients with a LMR-D < 1.2 with a 0% 5 year OS rate, p < 0.003 (Figure 1A). The median PFS for patients with a LMR-D ≥ 2 was not reached with a 5 years PFS of 74% (95%CI, of 43%-91%) compared with a median follow-up of 4.7 months for patients with a LMR-D < 1.2 and 0% 5 year PFS rate, p < 0.0001 (Figure 1B). After adjusting for the International Prognostic Index, multivariate analysis showed that the LMR-D remained an independent prognostic factor for OS [HR = 0.180, 95% CI of 0.254-0.784, p < 0.02] and for PFS [HR of 0.127, 95%CI of 0.029-0.409, p < 0.0003]. In spite of the small cohort of de novo double/triple hit DLBCL, the LMR-D was identified as a prognostic factor for clinical outcomes for this specific set of aggressive lymphomas. Further studies are warranted to confirm our findings. Table.LMR-D ≥ 1.2, N = 18Events = 2LMR-D < 1.2, N = 16Events = 8P < 0.003LMR-D ≥ 1.2, N = 18Events = 3LMR-D < 1.2, N = 16Events = 14P < 0.0001Figure 1AB Figure 1. Figure 1. Disclosures Maurer: Kite Pharma: Research Funding. Ansell:Bristol-Myers Squibb: Research Funding; Celldex: Research Funding. Off Label Use: New agent in a combination regimen..

Abstract Background: Follicular lymphoma (FL) is an indolent lymphoma generally considered incurable with current standard therapies. Recent advances have resulted in prolongation of overall survival (OS) for patients with FL such that death from competing causes may now limit the mortality impact of FL in some patient groups. Identification of patients for whom FL related mortality is expected to be minimal, or conversely those at high risk of disease related mortality, is highly clinically relevant. We recently reported (Maurer et al, JCO 2014;32:1066-73) that event-free survival (EFS) at 24 months from diagnosis is a robust endpoint for disease related outcome in patients with diffuse large B cell lymphoma (DLBCL). Here we use the same approach to assess if landmark timepoints of EFS can stratify subsequent OS in FL. Methods: All newly diagnosed grade 1-3a FL patients enrolled on the University of Iowa/Mayo Clinic Lymphoma SPORE Molecular Epidemiology Resource (MER) from 2002-2011 were eligible. Patients with grade 3b FL, transformation, or presence of DLBCL at diagnosis were excluded. EFS was defined as time from diagnosis to progression, relapse, re-treatment, or death due to any cause. EFS12 was defined based on EFS status 12 months after date of diagnosis; we also assessed EFS at 24 months. OS was defined as time from a specific timepoint (diagnosis, event, or EFS12) until death due to any cause. OS was compared to age and sex matched survival in the general US population using an expected survival approach and standardized mortality ratios (SMR) and 95% confidence intervals (CI). Outcomes were examined in all patients as well as selected subsets defined by initial treatment. Replication was performed using a Lyon, France hospital registry of newly diagnosed grade 1-3a FL patients enrolled from 2002-2010 with survival compared to French population data. Results: 936 patients with grade 1-3a FL were eligible from the MER. The median age at diagnosis was 60 years (range 19-91) and 53% were male. 86% had grade 1-2 disease and 14% grade 3a disease. 23% had high-risk disease (FLIPI score ≥3). 347 (37%) were initially treated with alkylator or anthracyline based immunochemotherapy (IC), 113 (12%) rituximab monotherapy (RM), and 318 (34%) were initially observed; the remaining patients received radiation for limited stage disease (8%), chemotherapy without rituximab (4%), or other therapy (5%). At a median follow-up of 59 months (range 1-131), 403 patients (43%) had an event and 120 patients (13%) had died; 155 patients (17%) failed to achieve EFS12. From diagnosis, patients with FL had inferior OS compared to the general population (SMR=1.24, 95% CI: 1.03-1.48, p=0.018); results were similar for patients with grade 1-2 (SMR=1.23) and grade 3a (SMR=1.29) disease. The survival deficit was eliminated in patients who achieved EFS12 (SMR=0.85, 95% CI: 0.66-1.09, p=0.20, Fig 1a), and so we did not pursue modeling EFS24. In contrast, patients with a non-death event (relapse, retreatment, or progression) within 12 months of diagnosis had inferior subsequent OS (SMR=3.90, 95% CI: 2.89-5.25, p=4.8x10-19, Fig 1b). These results were replicated in 153 FL patients from the Lyon registry: patients who achieved EFS12 had equivalent subsequent OS to the general French population (SMR=0.82, 95% CI: 0.39-1.72, p=0.60, Fig 1c), while patients who failed to achieve EFS12 had poor subsequent OS (SMR=4.16, 95% CI: 1.34-12.91, p=0.013, Fig 1d). In subset analysis of the MER, patients achieving EFS12 initially treated with IC (SMR=0.98, 95% CI: 0.63-1.54, p=0.93), RM (SMR=0.66, 95% CI: 0.31-1.38, p=0.27), or observation (SMR=0.73, 95% CI: 0.47-1.15, p=0.18) had equivalent OS to the population. In contrast, for patients not achieving EFS12, OS after event was inferior for those treated with IC (SMR=15.0, 95% CI: 10.22-22.05, p=2.0x10-43) or RM (SMR=4.96, 95% CI: 1.24-19.84, p=0.023), while trending towards inferior for those initially observed (SMR=1.55, 95% CI: 0.81-2.99, p=0.19). Summary: Events within the first 12 months of diagnosis are associated with poor OS in FL, especially in patients treated with IC, while patients achieving EFS12 have excellent subsequent survival, overall and in the main treatment subsets. Prognosis for FL patients should be recalibrated at 12 months from diagnosis. EFS12 will be useful in counseling and should be considered as an endpoint in studies of newly diagnosed FL. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Abstract Purpose: The purpose of this study was to examine whether quality of life (QOL) scores at diagnosis predict survival among patients with aggressive lymphoma, controlling for clinical variables and histological subtype. Patients and Methods: Newly diagnosed lymphoma patients were prospectively enrolled within 9 months of diagnosis in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource. Eligibility criteria included age ≥18 years; exclusion criteria included HIV-positive, non-US residency, and inability to participate in an interview conducted in the English language. All pathology was reviewed by a lymphoma hematopathologist. For purposes of this analysis, we considered “aggressive lymphoma” to include the histological subtypes diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL) grade III, mantle cell lymphoma, T-cell lymphoma excluding mycosis fungoides and cutaneous types, and other (Burkitt lymphoma, high grade B-cell lymphoma NOS, grey zone, etc). Baseline QOL was measured at time of registry enrollment with the Functional Assessment of Cancer Treatment-General scale (FACT-G), which measures 4 QOL domains: physical, social/family, emotional, and functional well-being (WB); a single item Linear Analogue Self Assessment (LASA) for measuring overall QOL; and a LASA measuring spiritual WB. Patients who did not complete ≥80% of FACT-G QOL questions were excluded. Clinical data were abstracted and patients were systematically followed for event-free and overall survival (EFS, OS). QOL scores were transformed to a 0-100 scale for modeling. Generalized additive models were used to account for timing of QOL assessment in relation to treatment and diagnosis; residuals from these models were then used to assess association between QOL measures and outcome via univariate and multivariable (adjusted for IPI and subtype) Cox proportional hazards models. Results: From September 2002 to December 2009, 701 patients with aggressive lymphoma who completed baseline QOL questionnaires were enrolled and eligible for this analysis. ; Subtype was 60% DLBCL, 14% mantle cell, 11% FL grade III, 13% T-cell, and 1% other subtypes. The median age was 62 years (range 18-92), and 58% were male. At a median follow-up of 71 months (range 6-128), 316 patients (45%) had an event and 228 patients (33%) died. Patient-reported QOL was prior to therapy in 330 patients (47%) and after initiation of therapy in 371 (53%). The median overall FACT-G total score was 83 (IQR 70-93), and the median scores on the functional WB, physical WB, emotional WB, and social/family WB were 18 (13-23), 22 (17-26), 18 (16-21), and 25 (22-27), respectively. 42 patients (6%) reported a clinically deficient QOL score on the FACT-G (score ≤50 on 0-100 scale). When comparing QOL scores between those who were on active therapy versus those who were not yet treated, physical WB (p<0.0001) functional WB (p=0.00014), and total FACT-G (p=0.0013) were lower in those on active treatment. All QOL measures but emotional WB were significantly associated with OS (all p<0.04), and all but LASA spiritual WB remained significant after adjusting for IPI and NHL subtype. Associations were stronger for OS than EFS. For OS, the strongest associations were with total FACT-G (adjusted HR=0.86, 95% CI: 0.79-0.94, p=0.00062) and functional WB (adjusted HR=0.88, 95% CI: 0.83-0.93, p<0.0001). The one-question QOL LASA was also associated with OS (adjusted HR=0.92, 95% CI: 0.87-0.97, p=0.0041). The strongest association with EFS was with functional WB (adjusted HR=0.92, 95% CI: 0.88-0.97, p=0.0015). Patients with a clinically deficient QOL (baseline overall QOL ≤50) had a median OS of 59 months compared to 121 months for patients with baseline QOL >50, p=0.0002, figure 1. In a sensitivity analysis, raw QOL was modeled for OS and EFS in the subset of patients with QOL assessed prior to treatment; hazard ratios were consistent with the adjusted QOL HR in all patients. Conclusions: In this large sample of patients with aggressive lymphoma, baseline QOL is predictive of OS and EFS, even after adjustment for known factors related to survival (IPI and histological subtype). This provides evidence that patient-reported outcomes are as important as other more objective previously confirmed IPI measures. QOL should be assessed at diagnosis as a prognostic factor in patients with aggressive lymphoma. Figure 1 Association of QOL with overall survival. Figure 1. Association of QOL with overall survival. Disclosures No relevant conflicts of interest to declare.

Abstract To date, whole genome and exome sequencing studies of follicular lymphoma (FL) have primarily focused on identification of small site mutations that are recurrent in FL tumorigenesis or involved in tumor clonal evolution. A comprehensive genomic and transcriptomic survey of various mutation types including large structural variants (SVs) in FL cases with detailed clinical annotations and long-term follow-up has not been accomplished. To gain insight into genetic biomarkers that may predict clinical features, we performed exome and whole genome mate-pair sequencing of fresh frozen tumor and paired peripheral blood DNAs, and transcriptome sequencing of tumor RNAs, from 8 FL patients. The patients we selected were either below the median age of FL onset (n=7, median 54.5 yrs) or had a family history of lymphoma (n=1). These patients were clinically diverse, and included patients who had Grade 1 or 2 disease (n=4), classified as “indolent”; and patients with Grade 3a disease (n=2) or who subsequently had pathologic transformation (n=2), classified as “aggressive”. The coding regions of the genome (exome) were captured using Agilent SureSelect Target Capture Kit V2.0, and sequenced at 100-bp paired-end. The single nucleotide variants (SNVs) and small insertions and deletions (INDELs) were called using The Genome Analysis Toolkit (GATK), and the exon level copy number variants (CNVs) we identified using patternCNV. The whole-genome mate-pair libraries of both normal and tumor DNAs with 3kb insert sizes were sequenced paired end at 50-bp. The large SVs of CNVs, large INDELs, translocations, and inversions were identified using the SnowShoes-SV algorithm. The RNA sequencing libraries of 8 FL tumors were constructed using Illumina TruSeq protocol, and sequenced at 50-bp paired end. The RNA-Seq data were analyzed using TopHat and the fusion transcripts were identified using SnowShoes-FTD. Our analysis of SNVs and INDELs revealed mutations in previously reported genes including MLL2, CREBBP, TNFRSF14, and histone cluster genes (HIST1H2AM, HIST1H2BD). In addition, we identified novel recurrent mutations in cysteine-rich PAK1 inhibitor (CRIPAK) in 25% of the tumors. In a secondary analysis performed by Sanger sequencing or re-analysis of publically available RNA sequencing data, we identified CRIPAK mutations in 44% of FL (n=32) and 28% of DLBCL tumors (n=102). Bioinformatics analysis shows that the coding region of CRIPAK is highly enriched with the protein functional domain, post-SET, which is usually found in histone lysine methyltransferases (HMTase) genes including MLL2 and EZH2 that are known to be important in lymphomagenesis. Interestingly, CRIPAK is part of the same regulatory network consisted of previously identified lymphoma genes including MLL2, EZH2, CREBBP, and EP300, according to the shortest path algorithm by MetaCore (Philadelphia, Pennsylvania). Recurrent SVs identified in the FL tumors included the well-known IGH-BCL2 translocation, or t(14;18), in 6 out of 8 cases (75%) and the chr1q amplifications in 4 out of 8 (50%) tumors. Other non-recurrent large CNVs involving entire chromosomes or chromosome arms, as well as other inter- and intra-chromosomal structural variants were detected in individual tumors. In addition, we identified and validated 6 fusion transcripts from the transcriptome sequencing data in 3 out of 8 cases (38%). While our sample size is small, we found that SNVs and INDELs in MLL2, CREBBP, TNFRSF14, CRIPAK, and histone cluster genes, as well as t(14;18), did not distinguish indolent or aggressive tumors. However, all aggressive (4/4, 100%) and none of the indolent tumors had gains in chr1q; and the presence of RNA fusion transcripts were observed in aggressive tumors only (3/4, 75%). Additionally, we found that aggressive tumors had higher numbers of genes with point mutations (SNVs and short INDELs) (40 ± 7.6 vs. 26 ± 2.6; aggressive vs. indolent), higher numbers of genes impacted by copy number aberrations (1060 ± 263.7 vs. 233 ± 133.9), and higher numbers of large SVs (24 ± 10 vs. 6 ± 1.6). Taken together, our comprehensive analysis of 8 FL tumors reveals genetic diversity among newly diagnosed FL patients, identifies novel and recurrent mutations in CRIPAK, and finds that high tumor complexity and DNA instability may be indicators of aggressive disease. Disclosures No relevant conflicts of interest to declare.