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Abstract Abstract 2656 Background Treatment of non-Hodgkin lymphoma (NHL) can lead to development of cardiovascular disease (CVD). We sought to describe the cumulative incidence of CVD in adult NHL survivors diagnosed in the recent treatment era (since 2002) and identify clinical and treatment predictors for its development. Methods All patients were from the Mayo component of the Molecular Epidemiology Resource (MER) of the University of Iowa/Mayo Clinic Lymphoma Specialized Program of Research Excellence (SPORE). 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. The prevalence of CVD and associations between CVD and clinical characteristics (sex, age) and treatment (radiation, anthracyclines) were performed using Cox models with a competing risk approach. Results 1164 patients with NHL were enrolled into the MER at Mayo Clinic between 9/1/2002–2/28/2008. 646 were male (56%) and median age at diagnosis was 62 years (range 20–93). Median follow-up of all cases was 59 months (range 1–105). 131 patients reported CVD prior to the diagnosis of NHL and were excluded from analyses. An additional 76 patients did not have follow-up and were excluded. Of the 957 remaining patients, 75 (7.8%) self-reported a new diagnosis of CVD. Of these, 71 cases had available medical records. 57 of the 71 reviewed cases (80%) were validated (18 HF, 9 MI, 21 arrhythmia, 2 pericarditis, and 10 valvular heart disease). Cumulative incidence of CVD at 1, 3, 5, and 7 years was 1.3%, 3.7%, 5.2%, and 7.4%, respectively. Median time from NHL diagnosis to CVD was 26.5 months (range 1–84). Older age was associated with increased risk of overall CVD (p-value<0.001). Gender (p=0.59), radiation therapy (p=0.61), and anthracycline treatment (p=0.25) were not associated with the incidence of overall CVD. Among types of CVD, anthracycline use was associated with development of HF (HR=5.30; p-value=0.008) and arrhythmia (HR=2.68; p-value=0.04). Radiation was associated with development of arrhythmia (HR=2.73; p-value=0.03), while older age was associated with development of HF (HR=1.36 per 5 year increment; p-value=0.003) and arrhythmia (HR=1.25 per 5 year increment; p-value=0.02). Conclusions The risk of CVD in patients with NHL is approximately 1% per year after the initial diagnosis of lymphoma. The most commonly occurring CVDs in this cohort of NHL survivors were arrhythmia and HF. Treatment with anthracyclines and radiation are associated with increased risk of developing some types of CVD. 80% of self-reported CVD events in NHL survivors were validated using epidemiologic criteria. Future studies will include building models incorporating comorbid health conditions and lifestyle factors to determine risk of CVD as well as the impact of CVD on quality of life. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 2682 Background: The PI3K-Akt pathway is critical to tumor growth in lymphoid malignancies and mTOR inhibitors have shown promising activity in lymphoid malignancies. However, alternate signaling pathways allow cells to escape the effect of mTOR inhibition. Pre-clinical studies have shown that the combination of LBH589, an HDAC inhibitor, with the mTOR inhibitor RAD001 results in potent synergy. We then explored this combination in a phase I/II clinical trial. Patients and Methods: Patients with relapsed multiple myeloma (MM), non-Hodgkin lymphoma (NHL) or Hodgkin Lymphoma (HL) were enrolled into a phase I trial of escalating doses of LBH589 and RAD001. The doses are shown in the table. The study utilized a 3+ 3 design with MTD defined as the maximum dose resulting in less than 2 dose limiting toxicities (DLT) during the first cycle among 6 patients treated at that dose. DLT was defined as a grade 4 neutropenia or thrombocytopenia lasting >= 7 days, febrile neutropenia or any other grade >=3 non-hematologic toxicity considered possibly related to the drugs. Once MTD was determined, patients were enrolled into two separate phase 2 studies, one for relapsed MM and another for relapsed NHL or HL. Results: Twenty-six patients were enrolled to the phase 1 study; 23 were eligible for MTD analysis. There were 16 patients with NHL, 4 with HL and 3 with MM. Median age was 61 (range, 24–73) and 17 were male. The median number of prior therapies was 4 (range 2–11), including a prior stem cell transplant in 11 (48%). No DLT was observed at any of the doses tested in the trial (See below). Hematological toxicities were the most common AEs observed, with a grade 3 or 4 hematologic AE in 15 patients and grade 3 or 4 non-hematologic AEs in 6 patients across all cycles administered. Grade 3 and 4 hematologic AEs included 10 patients with neutropenia and 8 patients with thrombocytopenia. Grade 3 and 4 non-hematologic AEs included hyperglycemia, hypertriglyceridemia, hypophosphatemia, diarrhea, pneumonia and mucositis in one patient each. Overall, 10 responses (43%) were seen (Table). Conclusions: The combination of LBH589 and RAD0001 is tolerated at the doses tested, with hematological toxicities being the most common adverse events. The recommended phase II dose is LBH 40 mg MWF every other week along with 5 mg RAD001 every day in 4-week cycles. Clinical efficacy was seen in all diseases tested with partial responses seen in NHL and HL as well as a minor response in a patient with refractory myeloma, who had previously failed single agent RAD001. Phase 2 trials are ongoing in both disease groups. Disclosures: Kumar: Merck: Consultancy, Honoraria; Celgene: Consultancy, Research Funding; Millennium Pharmaceuticals, Inc.: Research Funding; Genzyme: Research Funding; Novartis: Research Funding. Off Label Use: Use of the investigational agent MLN9708 for the treatment of previously untreated multiple myeloma. Lacy:Celgene: Research Funding. Reeder:Celgene: Research Funding; Millennium Pharmaceuticals Inc.: Research Funding; Novartis: Research Funding.

Abstract Abstract 3642 Purpose: The reactive pathologic background in nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) consists of lymphocytes and histocytes. Lymphopenia is a negative prognostic factor in NLPHL as it is also in Classical Hodgkin Lymphoma (cHL). In cHL, tumor-associated macrophages recruited from circulating monocytes are a negative prognostic factor for survival. Thus, we studied if the peripheral blood absolute lymphocyte count/absolute monocyte count ratio at diagnosis (ALC/AMC-DX), as a surrogate biomarker of the host response against the neoplastic lymphocytic and/or histiocytic (L&H) cells, affects survival in NLPHL. Patients and Methods: We performed a retrospective analysis of the association between ALC/AMC-DX and survival in 103 consecutive NLPHL patients that were followed at Mayo Clinic from 1974 to 2010. Receiver operating characteristic (ROC) and area under the curve (AUC) were used for ALC/AMC-DX cut-off value analysis and proportional-hazards models were used to compare survival based on the ALC/AMC-DX ratio. Results: The cohort included 67 (65%) males and 36 (35%) females. Eighty-three percent of patients presented with stage I/II and 17% with stage III/IV. Sixty-five (63%) patients were treated with radiation alone; 20 (20%) patients with chemotherapy alone; and 18 (17%) patients with chemotherapy and radiation. The median follow-up period was 8.9 years (range: 0.3–31 years). An ALC/AMC-DX ≥ 2.1 was the best cut-off value for survival with an empirical AUC of 0.82 (95% confidence interval [CI], 0.78 to 0.88), a sensitivity of 70% (95% CI, 61% to 76%) and specificity of 84% (95%CI, 59% to 82%). The cut-off value for ALC/AMC-DX ≥ 2.1 was validated by the k-fold cross validation method, showing a cross validation ROC with an AUC of 0.82 (95% CI, 0.72 to 0.93) for an ALC/AMC-DX ≥ 2.1. Using Kaplan-Meier analysis, we studied overall survival (OS), lymphoma-specific survival (LSS), progression-free survival (PFS), and time to progression (TTP) based on ALC/AMC-DX ≥ 2.1. Patients with an ALC/AMC-DX ≥ 2.1 experienced an superior OS, LSS, PFS, and TTP compared with patients with an ALC/AMC-DX < 2.1: [OS: median was 22.1 years vs 6.3 years, 10-years OS rates of 89% (95%CI, 80% to 98%) vs 44% (95%CI, 27% to 65%), p < 0.0001, respectively; LSS: median was not reached vs 7.3 years, 10-years LSS rates of 99% (95%CI, 90% to 100%) vs 45% (95%CI, 29% to 67%), p < 0.0001, respectively; PFS: median was 20.6 years vs 4.6 years, 10-years PFS rates of 84% (95%CI, 80% to 97%) vs 26% (95%CI, 18% to 55%), p < 0.0001, respectively; and TTP: median was not reached vs 5.5 years, 10-years TTP rates of 93% (95%CI, 85% to 99%) vs 29% (95%CI, 19% to 57%), p < 0.0001, respectively]. After adjusting for the International Prognostic Factors and the International Prognostic Score, ALC/AMC-DX remained an independent prognostic factor for OS {hazard ratio (HR), 0.42, 95%CI, 0.23 to 0.64, p< 0.004]; LSS [HR, 0.14; 95%CI, 0.04 to 0.23, p <0.0004]; PFS [HR, 0.14; 95%CI, 0.03 to 0.34, p < 0.001], and TTP [HR, 0.16, 95%CI, 0.04–0.34, p <0.002]. Conclusion: ALC/AMC-DX is an independent prognostic factor for survival and provides a single biomarker to predict clinical outcomes in NLPHL. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 996 Background: Treatment with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone) has improved survival in diffuse large B-cell lymphoma (DLBCL) lymphoma, although a significant percentage of patients do not achieve a remission or they relapse. One potential explanation for this observation is that host pharmacogenetic background may impact metabolism, detoxification and transport of R-CHOP. However, there are few prospectively collected data that address pharmacogenetics in DLBCL, particularly for event-free and overall survival in the rituximab era. We therefore tested the hypothesis that functional candidate single nucleotide polymorphisms (SNPs) from genes involved in the metabolism of CHOP (CYP2C19, CYP3A5, ABCB1, ABCC2, ABCG2, RAC2, CYBA, NR3C1, GSTA1, GSTP1, TP53) and rituximab (FCGR2A, FCGR3A) influence prognosis in DLBCL. Methods: We genotyped 19 SNPs from 13 genes in a prospective cohort of newly diagnosed DLBCL patients with germline DNA enrolled at the Mayo Clinic and University of Iowa from 2002–2008 as part of the Molecular Epidemiology Resource of the Iowa/Mayo Lymphoma SPORE. All patients were systematically followed through 2009 for overall survival (OS) and event-free survival (EFS), defined as disease progression, retreatment or death due to any cause. All SNPs were genotyped on the Illumina Golden-Gate platform. Cox regression was used to estimate Hazard Ratios (HRs) and 95% confidence intervals (CI) for individual SNPs with OS and EFS. Each SNP was modeled with the most prevalent homozygous genotype used as the reference group. An ordinal test was used to assess the trend across genotypes, and a p<0.05 was considered statistically significant. All Cox models adjusted for International Prognostic Index (IPI) and treatment. Results: The median age at diagnosis of the 439 DLBCL patients was 62 years (range 18–92). The IPI was distributed as follows: 0–1 (34%), 2 (26%), 3 (24%) and 4–5 (16%). All patients were treated with chemotherapy, and 91% received R-CHOP. Through 2009, there were 171 events (39%) and 122 (28%) deaths, with a median follow-up for living patients of 49 months (range 1–98). The SNP rs1045642 in the ATP-binding cassette (ABC) protein gene ABCB1 was associated with OS (p=0.012). The variant T allele for ABCB1 rs1045642 (minor allele frequency (MAF)=0.47) is associated with a silent I→I substitution, and the T allele predicts low enzyme expression. Compared to CC homozygotes, patients with CT (HR=0.66, 95% CI 0.44–0.99) or TT (HR=0.53, 95% CI 0.31–0.90) genotypes had superior OS. We also observed an association of the GSTP1 SNP rs1695 with OS (p-trend=0.018). The variant G allele (MAF of 0.31) is associated with an A→V substitution, and this change predicts low enzyme expression. Compared to AA homozygotes, patients with the AG (HR=0.78, 95% CI 0.54–1.14) or GG (HR=0.39, 95% CI 0.17–0.90) genotypes had superior OS. Nearly identical associations for these two SNPS were observed with EFS. There were no significant associations with any of the other SNPs that we evaluated. Conclusions: In a large series of newly diagnosed DLBCL patients treated in the rituximab era, we found evidence that genetic variation in ABCB1 and GSTP1 is associated with improved OS and EFS after adjusting for IPI and treatment. The variant allele for ABCB1 is associated with slower enzyme activity, favorably impacting doxorubicin and vincristine pharmacodynamics, and the variant allele for GSTP1 is associated with slower detoxification of doxorubicin and vincristine, increasing bioavailability of these drugs. A comprehensive evaluation of the role of pharmacogenetics in DLBCL is warranted. Support: P50 CA97274, R01 CA129539. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 1640 Background: The introduction of radioimmunotherapy (RIT) into clinical practice for the treatment of follicular lymphoma (FL) occurred at a time at which many patients did not have prior exposure to rituximab. Clinical trials in the relapsed/refractory setting, as well as consolidation in the upfront setting have included a small number of patients that had been previously treated with rituximab or a rituximab containing treatment regimen. We evaluated the effect of prior rituximab therapy on the efficacy of RIT. METHODS: The prospective lymphoma database was queried for all patients having received a single dose of yttrium-90 ibritumomab tiuxetan for relapsed/refractory FL which had previously been treated with systemic therapy (patients receiving only prior external beam radiation therapy were excluded). The database includes all consecutive adult patients diagnosed with lymphoma seen at Mayo Clinic Rochester. The diagnosis of follicular lymphoma was as by WHO classification and centrally reviewed. Patients with evidence of histologic transformation to diffuse large B cell lymphoma prior to RIT were excluded. Time to treatment failure (TTF) was defined as the time from RIT to next anti-lymphoma therapy. RESULTS: 111 patients were identified. 57 (51%) were male. Median age at time of RIT was 58 (19–88). Median time from diagnosis to RIT was 35 (6–281) months in patients having received prior treatment with rituximab and 47 (12–272) months in those who had not (p=0.19). 63 (57%) of patients received prior treatment with rituximab or rituximab containing chemotherapy. Median number of prior therapies was 2 (1–10), which was not different between the rituximab treated or untreated groups [2(1–6) vs 2(1–10) p=0.12]. Median TTF was 10.0 months in the patients having received prior rituximab and 10.1 months in those that had not (p=0.29). Figure 1. The median overall survival from RIT was not reached, but appeared similar (Kaplan-Meier estimate 125 months without prior rituximab exposure vs 95 months with prior rituximab exposure; p=0.33). CONCLUSIONS: Prior rituximab exposure does not seem to adversely impact the time to treatment failure or overall survival in those patients treated with RIT. While the data leading to the approval of RIT were accrued prior to the routine clinical use of rituximab, our data demonstrate similar clinical benefit of RIT in patients with prior exposure to rituximab or rituximab containing therapy. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: Primary Mediastinal Large B-cell Lymphoma (PMLBCL) is a biologically and pathologically distinct subset of large B-cell lymphoma of thymic origin. The natural history of PMLBCL is not well defined. While earlier reports suggested that PMLBCL is an aggressive disease with a poorer prognosis when compared to other large cell B cell lymphomas, recent studies report more favorable results. Some of the outcome variability reported in previous studies may be related to the inclusion of other pathological lymphoma subtypes involving mediastinum. Thus, we reviewed the pathology and clinical course of patients with PMLBCL seen at our institution. Methods: We reviewed the biopsies on all patients diagnosed with mediastinal B-cell non-Hodgkin lymphoma (NHL) between 10/1983 and 10/2004. The pathological criteria for diagnosis of PMLBCL was a diffuse infiltrate of neoplastic CD20+ large B-cells within the mediastinum that frequently had "clear" cytoplasm and were often associated with fibrosis. We then reviewed the clinical data for patients with a pathological diagnosis of PMLBCL. Results: 121 patients were diagnosed with mediastinal B cell NHL and had tissue available for review. Of these, 88 fulfilled the pathological diagnostic criteria for PMLBCL. The median age at presentation was 37 years (range 18–83). The male to female ratio was 1.06. Age adjusted IPI was: 0, 1, 2, 3 in 18%, 56%, 18% and 8% of the patients respectively. The most commonly used treatments were: CHOP (70%), R-CHOP (22%) and ProMACE-CYTABOM (6%). 62% of the patients received adjuvant radiotherapy. 24% of the patients received high dose chemotherapy with autologous stem cell transplantation (2 patients in first remission). The median follow up was 66 months. The 2 and 5 year survival was 72% and 68% respectively. On univariate analysis, age >60 (p=0.012) and presence of B symptoms (p=0.0094) were associated with an adverse outcome. On multivariate analysis, only the presence of B symptoms (p=0.039) was an independent predictor of shortened overall survival. The 2 year survival of patients with age adjusted IPI of 0–1 or 2–3 was 86% and 68% respectively (p=0.023). Patients treated with adjuvant radiation therapy had a 5 year survival of 74% versus 53% in patients who did not receive adjuvant radiation (p=0.042). However, there was a higher percentage of Ann Arbor stage 3 and 4 disease patients found in the group who did not receive radiotherapy treatment (66% vs 17% respectively). Conclusions: The overall survival rates seen in patients with a confirmed pathological diagnosis of PMLBCL were superior to that reported in earlier studies and similar to that reported with the use of more intensive chemotherapy regimens. While many authors report a high proportion of female patients with PMLBCL, we did not observe any gender differences. While patients receiving adjuvant radiation therapy had a better outcome than those that did not, the retrospective nature of this study and differences in stage distribution preclude conclusions regarding the role of adjuvant radiation therapy. Randomized studies will be necessary to assess the optimal treatment for PMLBCL.

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

Abstract Abstract 3652 Purpose: Gene expression profiling has shown biologically distinct cell of origin categories for diffuse large B-cell lymphoma (DLBCL): germinal center B-cell like (GCB), and activated-B-cell like (ABC). GCB, DLBCL patients experienced better clinical outcomes compared with ABC, DLBCL patients. However, gene microarray technology is not broadly available in a non-research setting. Absolute lymphocyte count (ALC) at diagnosis is a prognostic factor for survival in DLBCL. Recently, gene-expression profiling and immunohistochemistry-based studies in non-Hosgkin's lymphoma demonstrate the important role of monocytes and their progeny, particularly lymphoma-associated macrophages, in promoting lymphomagenesis. thus, we studied if the peripheral blood absolute lymphocyte count/absolute monocyte count at diagnosis (ALC/AMC-DX), as a surrogate biomarker of the host response against the cell of origin in DLBCL, affects survival in DLBCL. Patients and Methods: We perfromed a retrospective analysis of the association between ALC/AMC-DX and survival in 131 consecutive DLBCL patients that were followed at Mayo Clinic from 2004 to 2010, with available tissue immunostaining for CD10, BCL6, MUM 1, and BCL 2 (Hans' algorithm) to identified GCB and ABC DLBCL patients. Receiver operating characteristic (ROC) and area under the curve (AUC) analyses were used for ALC/AMC-DX cut-off value determientaion and proportional-hazards models wee used to compare survival based on the ALC/AMC-DX. Results: The cohort included 91 (70%) GCb DLBCL patients and 40 (30%) ABC, DLBCL patients. All patients were treated with rituximab, cyclosphosphamide, adriamycin, vincristine, and prednisone (R-CHOP-21). The median follow-up period was 2.1 years (range 0.1–6.9 years). An ALC/AMC-DX >= 1.5 was the best cut-off value for survival with an empircal AUC of 0.83 (95% CI, 0.77 to 0.89), a sensitivity of 83% (95% CL, 72% to 92%) and specificity of 79% (95%CI, 72% to 85%). The cut-off value for ALC/AMC-DX >= 1.5 was validated by the k-fold cross validation method, showing a cross validation ROC with an AUC of 0.89 (95%CI, 0.80 to 0.95) for an ALC/AMC-DX >=1.5. Using Kaplan-Meier analysis, the overall survival (OS), defined as the time from diagnosis to last follow-up or death due to any cause; and progression-free survival (PFS), defined as the time from diagnosis to death of any cause, relapse, progression, or last follow-up, based on ALC/AMC-DX >= 1.5 were evaluated. patients with an ALC/AMC-DX >=1.5 experienced a superior OS and PFS compared with patients with an ALC/AMC-DX < 1.5: [OS: median was not reached vs 20.8 months, 5-years OS rates of 83% (95%CI, 70% to 95%) vs 36% (95%CI, 20% to 55%), p < 0.0001, respectively; and PFS: median was not reached vs 10.8 months, 5-years PFS rates of 70% (95%CI, 58% to 88%) vs 28% (95% CI, 17% to 46%), p < 0.0001, respectively]. Multivariate Cox stepwise regression analysis identified cell of origin, International Prognostic Index (IPI) and ALC/AMC-DX as the strongest predictors for OS and PFS, with ALC/AMC-DX out-performing cell of origin and IPI: OS [HR = 0.17, 95%CI, 0.07 to 0.36, p < 0.0001] and PFS [HR=0.21, 955CI, 0.11 to 0.39, p < 0.001]. conclusion: ALC/AMC-DX is independent of the cell of origin to predict survival and provides a single biomarker to predict clinical outcomes in DLBCL. Confirmatory studies are required. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: The PI3K/mTORC pathway is upregulated in DLBCL and can be targeted with mTORC1 inhibitors such as everolimus. Everolimus has demonstrated single agent activity in relapsed DLBCL (Leukemia. 2011; 25(2):341-7). These data provide the rationale to combine everolimus with standard RCHOP-21 to improve the effectiveness of upfront therapy for DLBCL. Methods: A phase I study was designed to determine the maximum tolerated dose of everolimus on days 1-10 or 1-14 in combination with RCHOP-21 along with a feasibility cohort to examine response in patients with newly diagnosed CD20+ DLBCL. Response assessment was evaluated using PET/CT and standard criteria. Results: We previously reported (J Clin Oncol 33, 2015 suppl; 8518) that in the phase I portion of trial N1085 that the dose of everolimus recommended for further study was everolimus 10 mg daily days 1-14; RCHOP day 1 and pegfilgrastim 6 mg day two for each of six 21-day cycles. The trial has now completed enrollment with a total of 26 patients. Two phase I patients were replaced during cycle 1 for personal, non-medical issues leaving 24 eligible patients for response assessment. The median age was 59.5 years (23 - 78); 42% were female; 18 (75%) stages III/IV; 12 (50%) had an elevated LDH; 29% had a high IPI score; and 4 (17%) had B-symptoms. Genotype was performed by immunohistochemistry using the Hans algorithm and 54% (13/24) were non-GCB; 13 (5 GCB, 8 non-GCB) had FISH for double hit and all were negative. Twenty-one (88%) patients received everolimus at 10 mg d1-14; the other three patients received 10 mg d1-10. Twenty-two (92%) patients received all 6 cycles. All patients have now completed therapy and the overall response rate was 96% (23/24) with 23 patients attaining functional CR by PET/CT. The remaining patient went off study for refusal in cycle 1, received further RCHOP-21 off study, and attained a CR off study. The median follow-up for the 24 patients is now 16.8 months (7.3 - 35.7) with 20 patients having ≥12 months of follow-up and 8 patients having ≥24 months of follow-up. To date, none of the 24 patients have died and none have experienced relapse with DLBCL. One patient relapsed 16 months from DLBCL diagnosis with a biopsy-proven follicular grade 1 NHL and received off-study Zevalin and achieved a second CR. The most common grade 3/4 toxicity was hematologic with 71% of patients having grade 4. Five (21%) patients had febrile neutropenia. Only 1 patient had grade 3 hyperglycemia and 3 patients had grade 3 hypertriglyceridemia. Reversible rash and pneumonitis were observed in 1 case each. Conclusions: The mTORC1 inhibitoreverolimus at 10 mg daily d1-14 of a standard RCHOP-21 cycle is tolerable with a 96% CR rate in both GCB and non-GCB DLBCL. With a median follow-up of 16.8 months and 8 patients out ≥24 months, the lack of DLBCL relapse is encouraging. Longer follow-up and a larger trial will be necessary to confirm the benefits of this novel combination. Clinical trial information: NCT01334502 Disclosures Off Label Use: Everolimus is an mTOR inhibitor which has activity in B cell lymphomas. It is being investigated in combination with SOC therapy for newly diagnosed DLBCL to examine potential toxicity as well as potential for enhanced disease response.. Ansell:Bristol-Myers Squibb: Research Funding; Celldex: Research Funding.

Abstract Background: Peripheral T-cell lymphomas (PTCLs) are aggressive non-Hodgkin lymphomas with marked clinical, pathological, and molecular heterogeneity. Outcomes following standard therapy generally are poor; however, few candidate therapeutic targets have been identified for precision medicine approaches. Retinoic acid receptor alpha (RARA) is a transcription factor that modulates cell growth and differentiation in response to natural or synthetic retinoids. Retinoids have been used successfully to treat acute promyelocytic leukemia and some cutaneous T-cell lymphomas (CTCLs). However, the function of RARA and the action of retinoids in PTCL have not been defined. Methods:Based on identification of a PTCL patient with a non-synonymous point mutation, RARA R394Q, identified in the Mayo Clinic Center for Individualized Medicine, we sought to characterize the role of RARA in PTCL cells. To investigate the role of wild-type and mutant RARA, we constructed expression vectors containing either wild-type RARA or RARA R394Q coding sequences, and also used siRNAs targeting RARA to study the role of native RARA expression. Cell lines derived from post-thymic T-cell malignancies were used for in vitro studies, including HuT78 and Mac-1 (both derived from circulating tumor cells from CTCL patients) and Karpas 299 (from an ALK-positive anaplastic large cell lymphoma). Following RARA overexpression or knockdown, we measured cell growth, cell cycle regulation, and sensitivity to synthetic retinoids. In addition, RNA sequencing and pathway analysis were performed to profile the transcriptomic response to retinoids in malignant T cells. Results:In two RARAlow cell lines, Karpas 299 and HuT78, overexpression of wild-type RARA or RARA R394Q significantly increased cell growth (p<0.001), with a greater increase observed from mutant versus wild-type RARA in Karpas 299 (136% of control versus 122%; p=0.04). Accordingly, knockdown of wild-type RARA in the RARAhigh cell line, Mac-1, resulted in a 22% inhibition of cell growth (p=0.0002). This inhibition specifically was associated with G1 cell cycle arrest (120% of control; p=0.004) and decreased protein expression of the G1-S-associated cyclin-dependent kinases, CDK2, CDK4, and CDK6. These kinases were up-regulated by overexpression of RARA in RARAlow HuT78 cells. The relatively RARA-specific retinoid, AM80 (tamibarotene), and the less specific retinoid, all-trans retinoic acid (ATRA), resulted in RARA protein degradation, cell growth inhibition that was both dose-dependent and proportional to baseline RARA expression, G1 arrest, and CDK protein up-regulation. Gene-set enrichment analysis (GSEA) of transcriptome data confirmed that genes down-regulated by AM80 were highly enriched for regulators of cell cycle and particularly G1-S transition. Finally, overexpressing RARA in RARAlow Karpas 299 and HuT78 cell lines significantly increased the ability of AM80 to inhibit CDK2/4/6 expression and cell growth (16% to 23% greater growth inhibition than control; p<0.05). Conclusions:RARA drives cyclin-dependent kinase expression and G1-S transition in malignant T cells, and promotes cell growth. These functions may be enhanced by specific RARA gene mutations. Synthetic retinoids inhibit these functions in a dose-dependent fashion, and are most effective in cells with high RARA expression. These data suggest RARA as a candidate therapeutic target in some PTCL patients. Disclosures Nowakowski: Celgene: Research Funding; Morphosys: Research Funding; Bayer: Consultancy, Research Funding.