Cerhan, James R.

Abstract Abstract 991 Background: The outcome of patients with DLBCL has significantly improved with the addition of rituximab to CHOP chemotherapy. While standard clinical prognostic factors such as those included in the International Prognostic Index (IPI) still predict outcome in DLBCL in R-CHOP treated patients, predicting the outcome of patients might be further refined using biological factors. We therefore tested whether pretreatment serum cytokines, that measure the biological activity of the tumor as well as the host response, could provide additional prognostic information in DLBCL patients. Methods: Newly diagnosed DLBCL patients were prospectively enrolled in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER). Serum cytokines were measured from pre-treatment blood draws using a multiplex ELISA (Upstate Cell Signaling Solutions, Lake Placid, NY). Thirty cytokines, including pro-inflammatory, Th1 and Th2 associated cytokines, were analyzed using the Luminex-100 system Version 1.7 (Luminex, Austin, TX). Data analysis was performed using the MasterPlex QT 1.0 system (MiraiBio, Alameda, CA). The assay was also performed on research serum draws from 400 non-lymphoma epidemiology controls enrolled on a corresponding lymphoma etiology case-control study. The upper limit of normal for each cytokine was defined as the 95th percentile from the control distribution. Clinical data was abstracted using a standard protocol for the MER and patients were followed systematically for event-free (progression, retreatment, or death due to any cause) and overall survival (EFS and OS, respectively). Cox proportional hazards models were used to evaluate the association between cytokines and outcome. Principal components analysis (PCA) was performed on the combined DLBCL and control cytokine dataset, agnostic to clinical characteristics and outcome, to identify cytokine profiles. Results: 206 DLBCL patients diagnosed between September 2002 and February 2008 with available serum were included. The median age was 64 years (range 20–92) and 52% were male. At a medium follow-up of 47 months (range 5–94), 75 patients (36%) had relapsed and 63 patients had died (31%). A cytokine profile was determined based on the first two principal components (PC) of the PCA analyses with PC1 corresponding to a general (host) cytokine elevation (also seen in normal controls) and PC2 corresponding to an increase predominantly in cytokines that were commonly elevated in DLBCL patients. 75 DLBCL patients (36%) had a normal cytokine profile similar to the general population of controls; 114 DLBCL patients (55%) had elevation in tumor specific cytokines (CXCL10, CXCL9, IL-2R, IL-12, IL-8, and IL-10) and 17 (8%) had a general cytokine elevation. Patients with any elevation of cytokines (tumor specific or general elevation) had a significantly worse event-free (HR=3.96, 95% CI: 2.13–7.37, p<0.00001) and overall survival (HR=3.75, 95% CI: 1.99–7.09, p<0.0001) than those with a normal cytokine profile (see figure). While the cytokine elevations were associated with advanced stage, poor performance score and elevated LDH, they were not associated with advanced age or extranodal disease and the results remained significant after adjustment for the IPI and treatment in the Cox model (EFS HR=3.11, 95% CI: 1.66–5.85, p<0.0001; OS HR=2.93, 95% CI: 1.53–5.63, p=0.001). Elevated serum cytokines also identified patients who were unlikely to complete initial therapy or who relapsed early. In low-risk patients (IPI 0–2), only 3% of patients with normal serum cytokines relapsed in the first 12 months compared to 23% of patients with elevated cytokines. Similarly in the high-risk group (IPI 3–5), none of the patients with normal cytokines relapsed in the first year compared to 43% with elevated cytokines. Conclusion: Elevated pretreatment serum cytokines, predominantly related to the malignancy, are associated with an increased likelihood of disease relapse and an inferior survival in patients with DLBCL. Furthermore, the pretreatment cytokine profile may also identify DLBCL patients at high risk for early disease relapse. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 3708 Background: Rituximab maintenance (RM) following induction therapy has been demonstrated to increase PFS in randomized trials in both first-line and relapsed settings (ECOG 1496, EORTC 20981, and most recently, PRIMA), and RM has been frequently used in clinical practice in the U.S. and other countries. We examined the various RM approaches used by practicing physicians in the U.S., factors that predicted whether RM was used, and compared the “real-world” effectiveness of RM to the outcomes of observation (Obs) following front-line R-based induction in FL patients (pts). Methods: The National LymphoCare Study is a prospective, multi-center, longitudinal, observational study that collects data on treatment and outcomes for pts diagnosed with FL in the U.S. from 2004–2007. Pts who achieved complete response (CR), partial response (PR) or stable disease (SD) following initial treatment with R-based therapy and who did not initiate second line therapy during the 215-day period following the date of last dose of initial therapy were categorized as Obs. Pts meeting the same criteria who started maintenance R treatment in the 215-day period comprise the RM group. Multivariable logistic regression analyses were performed to identify characteristics related to receiving RM. We compared RM and Obs groups in progression-free survival (PFS), time to next treatment (TTNT), and overall survival (OS) using Cox proportional hazards models controlling for confounding factors of clinical interest (sex, FLIPI risk group, treatment setting [academic vs. community], and induction therapy). PFS was defined as the number of days from the 215 day period following induction that defined the Obs and RM groups up to and including the date of disease progression as assessed by the treating physician or death from any cause. Pts who had not yet experienced a PFS event at the time of analysis were censored at the date of the most recent response assessment. Results: Of the 2,732 pts enrolled in NLCS, 1,536 pts completed R-based induction therapy. Among these,1,236 pts achieved CR/PR/SD and met other criteria described above to be included in analysis. 557 pts started RM treatment in the 215-day post-induction work up period (128 following R and 429 following R-chemo), and 679 pts were observed (125 following R and 554 following R-chemo). The mean duration of RM was 528 days, and the mean number of RM doses received was 13. 23% received Rx4 every 6 months, 20% Rx1 every 2 or 3 months, and 57% received another schedule. 14% of pts discontinued RM early (n=79). The most common reasons for early discontinuations were disease progression (29%), toxicity (11%), or death (7%). Pts who received R induction were more likely to receive RM than those who received R-chemo as induction (51% vs. 44%). Pts treated in community practices were slightly more likely to receive RM compared with those who were treated in academic centers (46% vs. 40%). In multivariable models, the most significant predictors of receiving RM were grade (I/II), stage (III/IV), geographic region (other than West), community practice setting, and R induction treatment (all p<0.05). After adjusting for FLIPI risk group, induction treatment, and clinical factors, RM significantly improved PFS (HR= 0.72; p= 0.010) and TTNT (HR= 0.74; p= 0.03). At 4 years of follow-up, 11% of pts in the combined population have died and there was no significant difference in OS between RM and Obs groups. 22% (n=124) of RM pts had received 2nd line treatment at the time of analysis, of whom 36% received R alone and 31% received R-chemo. The response rate for 2nd treatment was similar between RM and Obs groups (60% CR/PR for both groups). Conclusions: RM following front-line R-based induction was common in this period. However, a large percentage of pts received a RM schedule that was not consistent with standard published schedules reflecting variation among community practices. Nevertheless, RM use in clinical practice produced significant differences in PFS and TTNT compared to Obs. Importantly, response to second-line treatment was similar between RM and Obs groups. Additional followup is needed to determine whether RM produces OS benefits in this context. Disclosures: Sinha: Celgene: Research Funding. Zhou:RTI-HS: Employment; Novartis: Research Funding. Friedberg:Genentech: Consultancy; astellas: ; Lilly: ; Abbott/Trubion: ; Seattle Genetics: Honoraria; Cephalon: Consultancy. Hirata:Genentech Inc/Roche: Employment; Roche: Equity Ownership. Flowers:Spectrum: Consultancy, Research Funding; Millennium/Takeda: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Genentech/Roche (unpaid): Consultancy; Novartis: Research Funding; Seattle Genetics: Consultancy.

Abstract Abstract 3881 Background: Chronic lymphocytic leukemia (CLL) is largely incurable neoplasm of the blood and has one of the highest familial risks of disease among cancers. Monoclonal B-cell lymphocytosis (MBL) with a CLL immunophenotypic profile (i.e., CLL-like MBL) is a precursor state to CLL. In the general adult population, the prevalence rate of MBL is 5–9% and increases with age. This is in contrast to the 13–18% rate of MBL in first-degree relatives of CLL patients from high-risk families (defined here as families with at least two confirmed living cases of CLL). Few longitudinal studies of MBL incidence exists. One study evaluated MBL status over time in a cohort of individuals with MBL from a rural valley in Northern Italy. Our work herein will be the first to evaluate the status of MBL over time in relatives of CLL patients from high-risk families. Methods: Using a cohort of 41 high-risk CLL families, we evaluated the MBL status and clonal blood B-cell counts in 94 relatives of CLL patients at two time points at least 1 year a part. High sensitivity, multi-color flow cytometry was performed on fresh or previously frozen blood samples in three laboratories: Duke University, the US Food and Drug Administration, and Mayo Clinic. The number of cell events collected for flow cytometry evaluation varied from 1 to 5 x105 cells. To assure concordance across flow cytometry laboratories, 15 samples were evaluated at multiple labs. The concordance of MBL calling was a 100%. We defined three monotypic B-cell subsets as CLL-like MBL (CD5+ CD20dim), atypical MBL (CD5+ CD20+), and non-CLL like MBL (CD5−CD20+). Results: Of the 94 relatives, the median age at consent was 57 years (range 42–93) and 39% were male. At the initial MBL screening, 70 (74%) relatives had normal immunophenotype (NIPT) and 24 (26%) had MBL (1 atypical MBL, 3 non-CLL like MBL, and 20 CLL-like MBL). Seven of the 24 individuals with MBL had monoclonal B-cell counts available at baseline screening; median = 147.4 cells/uL (range 22.7–1663). The 94 relatives underwent repeat evaluation with a median follow up time of 1.8 years (range 1–6). At the second evaluation, we found an increase in the prevalence of MBL, with 11 of the 70 (12%) initially NIPT relatives developing a new MBL clone (10 CLL-like, 1 non-CLL like). These 11 incident MBL cases were from 9 families with 2 families each having 2 relatives changing MBL status. The median number of monoclonal B-cells in these 11 incident MBL cases was 0.58 cells/uL (range 0.38–60.3). The 23 out of the 24 relatives with baseline MBL (20 CLL-like MBL and 3 non-CLL like MBL) had a persistent MBL clone. Only 6 of these 23 individuals had monoclonal B-cell counts available at both time points, and among these 6, the clonal B-cell counts decreased at follow-up screening; median difference −64.1 cells/uL (range −1204.3– 10.5). The second evaluation of the initial atypical MBL relative had too few clonal cells for flow assessment. Conclusion: We found that our CLL-like MBL clones persisted over the period of observation in relatives from high-risk CLL families; this finding is similar to that previously reported using a population-based study conducted in Northern Italy. Notably, 12% of relatives from high-risk CLL families developed incident MBL during just 2 years of follow up. Although these MBL clones are all low count (< 1500 cells/uL), these data provide further evidence that MBL is a marker of inherited predisposition to CLL. It will be important to see how our rate of change of MBL status compares to that of the general population as we continue to follow our cohort of CLL families. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 1570 B-cell non-Hodgkin lymphoma encompasses a heterogeneous group of B-lymphocyte-derived malignancies that are characterized by chromosomal translocations involving the immunoglobulin (IG) gene loci and specific histological subtypes of disease are associated with a different spectrum of IG translocations. Marginal zone derived B cell lymphomas encompass three distinct entities: extranodal marginal zone B lymphoma (MZL) of mucosa associated lymphoid tissue (MALT), nodal MZL (NMZL), and splenic MZL (SMZL). MALT lymphoma is genetically unique and four mutually exclusive chromosomal translocations have been identified in this disease thus far. However, the known translocations are only present in a subset of cases suggesting that additional uncharacterized translocations or other genetic events may exist that contribute to disease development. In previous studies we characterized the novel t(X;14)(p11.4;q32) translocation in a patient with MALT lymphoma and found that GPR34, an orphan G-protein coupled receptor (GPCR), was highly expressed due to its juxtaposition to the IGHSA2 switch region. We then measured GPR34 mRNA expression in tissue biopsies from a panel of MALT, NMZL, SMZL, lymphoplasmacytic (LPL), diffuse large B cell (DLBCL), follicular (FL), and mantle cell (MCL) lymphomas. Expression of GPR34 was detected in all tissues examined, but was significantly increased in MALT (37 fold), LPL (23 fold), NMZL (18 fold), and SMZL (21 fold) compared to normal CD19+ B cells. GPR34 mRNA expression was also analyzed by gene expression profiling (GEP) of a panel of lymphomas or control lymphoid tissue and we confirmed elevated expression of GPR34 in the t(X;14) case and detected elevated GPR34 mRNA expression in MALT, LPL, NMZL, SMZL, and ABC DLBCL. When we grouped specimens by high and low expression of GPR34, a clear molecular subtype of SMZL could be identified and suggests that GPR34 high expressing tumors have a unique GEP. To confirm the qPCR and GEP analysis of GPR34 expression, we analyzed surface expression of GPR34 by flow cytometry of normal and malignant tissues and found that expression of GPR34 was detected on all MALT and SMZL B cells with an average DMFI of 2.08 (DMFI range 1.26–3.18, n=12) and on the JeKo-1 lymphoma B cell line (DMFI= 4.75). Analysis of CD19+ cells from normal controls (n=3) revealed a low level of GPR34 on (average DMFI =1.12). Little is known about the function of GPR34 and to further characterize the impact of GPR34 overexpression on cell signaling, OCI-LY19 lymphoma B cells and HeLa cells were transduced with GPR34 or a vector control. To determine if MAPK activity, a pathway regulated by GPCRs, was upregulated, the phosphorylation status of ERK1/2 in GPR34 or control cells was analyzed and we found that ERK1/2 was constitutively phosphorylated at significantly higher levels in GRP34 expressing cells. To further explore which signaling pathways were affected by GPR34 overexpression, GPR34 or vector control cells were transfected with an AP-1, CRE, NF-kB, E2F, SRE, NFAT, or ISRE- luciferase reporter plasmid and GPR34 expressing cells had significantly increased luciferase activity driven by AP-1 (5.35-fold), CRE (4.7-fold), NF-kB (2.6-fold), and E2F (2.1) when compared to vector control cells. To determine the biologic impact of GRP34 overexpression, the proliferation rates of vector control and GPR34 cells were compared and we found that proliferation of GPR34 WT cells was significantly higher than that seen in the control. We next tested the effect of the MEK inhibitor on proliferation and saw a dose dependent decrease in proliferation of GPR34 expressing cells. We then tested the ability of GPR34 cells to generate colony formation in a soft-agar colony formation assay. After 3 weeks of culture, the GPR34 cells had formed significantly more colonies than the vector control suggesting that overexpression of GPR34 can result in increased anchorage-independent cell growth. Taken together, our results identify a novel translocation in MALT lymphoma, emphasize a novel role for GPR34 in regulation of gene expression and tumor cell growth, and suggest that MEK inhibitors may be useful in a subset of translocation–harboring or GRP34 high-expressing tumors. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 3903 INTRODUCTION: Monoclonal B-Cell Lymphocytosis is an asymptomatic hematologic condition characterized by the presence of small populations of clonal B-cells in the blood or bone marrow occurring in 3–5% of the general population over age 40. Although MBL is considered the precursor state to CLL and other sub-types of indolent non-Hodgkin Lymphoma, most individuals with MBL will not develop a B-cell malignancy. It is unknown, however, whether individuals with MBL may be at risk for other adverse outcomes associated with CLL, such as increased risk of infection. To explore this aspect, we evaluated the risk of hospitalization for infection among patients with clinically recognized MBL and compared this to a cohort of general medicine patients and a cohort of CLL patients. METHODS: The Mayo Clinic Rochester (MCR), a tertiary referral center in rural southeastern Minnesota, is also the primary hematology center for southeastern Minnesota, northern Iowa, and western Wisconsin. There are no metropolitan areas or hematology specialty centers within a 50 mile radius. To explore the natural history of infection in a local, community dwelling cohort of individuals with clinically identified, CLL-phenotype MBL, we used the Mayo Clinic CLL database to identify all patients with newly diagnosed MBL seen in the MCR Hematology Division between January 1999 and December 2009. Analysis was limited to MBL cases who resided within 50 miles of MCR. The comparison cohort consisted of 689 adult patients also resided within 50 miles of MCR who were seen for a general medical examination between September 2002 and December 2009 and who were enrolled as controls in a case-control study of non-Hodgkin lymphoma. Rates of infection among individuals with MBL were also compared to a cohort of 174 patients with newly diagnosed CLL diagnosed in the same time interval and who resided within 50 miles of MCR. All hospitalizations in these 3 groups were audited to document hospitalization with infection including cross-referenced with the electronic Mayo Clinic infection database, which contains all culture results obtained from hospitalized patients at MCR. Serologies and viral assays (e.g. CMV viral load) were also reviewed. Patients whose cultures were negative but who were given a clinical diagnosis of infection (e.g. pneumonia) and who were treated with a full course of antibiotics were considered to have a culture negative infection. Among the cases, only hospitalizations after CLL or MBL diagnosis were considered. RESULTS: In May 2010, there were 524 individuals in the Mayo Clinic MBL/CLL Database with the diagnosis of CLL-phenotype MBL made between January 1999 – December 2009. Of these, 154 (29%) patients resided within a 50 mile radius of Mayo Clinic and were considered a local, community-based cohort of MBL patients. Median age at MBL diagnosis for these 154 patients was 70 years (range 45–94). After median follow-up of 4.2 years (range 0.3–10.6 years), 25 (16%) individuals with MBL were hospitalized with infection as compared to 20/689 (3%) individuals in the control population (odds ratio MBL relative to control=6.5; p<0.001) and 32/174 (18%) in the cohort of patients with newly diagnosed CLL (OR MBL relative to CLL=0.9; p=0.61) (Figure 1). The 25 MBL patients hospitalized for infection were hospitalized a total of 39 times (median 1 hospitalization for infection per individual). A specific infectious organism was identified by cultures or serologies in 8/39 (21%) hospitalizations among individuals with MBL, 10/27 (37%) hospitalizations for infection among controls, and 60 (63%) of the 89 hospitalizations for infection in CLL cases. Finally we performed a pooled multivariable analysis of all patients (n=1017) adjusting for age, sex, presence of MBL, diagnosis of CLL, and whether patients with CLL or MBL received treatment for CLL during follow-up. All factors were independently associated with risk of hospitalization for infection [Age (per year, OR=1.02, p=0.02), sex (male, OR=2.6, p=0.001), presence of MBL (OR=3.3, p<0.001), diagnosis of CLL (OR=3.0, p=0.002), and treatment for CLL (OR=3.3, p<0.001)]. CONCLUSIONS: In this cohort study, patients with newly diagnosed clinical-MBL had a 6.5 fold risk of hospitalization for infection relative to the control cohort. MBL was an independent risk factor for hospitalization for infection after controlling for age, sex, and treatment. Disclosures: Zent: GlaxoSmithKline: Research Funding; Genentech: Research Funding; Genzyme: Research Funding. Kay:Biothera: Research Funding; Clegene: Research Funding; Cephalon: Research Funding; Genentech: Research Funding; Glaxo Smith Kline: Research Funding; Hospira: Research Funding; Novartis: Research Funding; Supergen: Research Funding; Calistoga: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Emergent Biosolutions (Formerly Trubion): Membership on an entity's Board of Directors or advisory committees.

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 Relatively little is known about the quality of life (QOL) status among long-term (5–20 year) lymphoma survivors. Using the Mayo Tumor Registry, we identified eligible patients who were 16 years or older at diagnosis, U.S. residents, first diagnosed with Hodgkin or non-Hodgkin lymphoma from 1984–1998, diagnosed and/or initially treated at Mayo Clinic Rochester, and survived for 5 to 20 years (N=2,485). In October of 2004, we mailed a 23-page survey to 95 randomly selected patients; 7 were found to be ineligible (deceased or too ill). Of the 88 remaining patients, we were able to find a correct address for 82, and 57 completed a survey for a 70% participation rate. QOL assessments included the Functional Assessment of Cancer Therapy - General (FACT-G), and a series of linear analogue self-assessment (LASA) single-item QOL measures. Results for the pilot sample were compared to normative data for each measure relating to general cancer patient populations. All scores were transformed onto a 0–100 point scale (higher score meaning higher functioning) for ease of comparison. Of the 54 patients with complete data for analysis, the mean age at survey was 60.8 years (6.3–19.9). The mean time since diagnosis was 12.0 years (6.3–19.9), and 52% had survived more than 11 years. The mean total score for the FACT-G was 89 compared to a norm of 74 for cancer patients. Higher scores were also seen in the lymphoma survivors in each of the four FACT-G subdomains (physical, social/family, emotional and functional well-being) compared to normative cancer patient populations. The global LASA QOL measure was also higher among lymphoma survivors (mean score of 82 compared to a norm of 77), and only 7% reported a global QOL score of 50 or lower, indicative of impaired QOL. Functioning among the lymphoma survivors was higher compared to general cancer patients on the mental, physical, emotional, social, pain, fatigue, financial, and legal LASA items, while functioning was similar to general cancer patients on the spiritual and support LASA items. However, scores suggestive of impaired QOL were reported by more than 10% of the patients for the social (17%), pain frequency (31%), fatigue (20%), and financial concerns (25%) items of the LASA. There were suggestive results of effect sizes indicating that smokers had lower FACT-G physical and emotional scores, and lower LASA mental and physical QOL scores, although none achieved statistical significance. In conclusion, this pilot sample of long-term lymphoma survivor patients reported having high QOL on most domains of the FACT-G and LASA relative to other cancer patient populations. There appears to be a subset of patients who experience impaired QOL and who may require further interventions, particularly in the QOL domains of social, pain, fatigue, and financial functioning. These results also suggest that awareness of smoking status may be important. Further larger studies are needed to confirm these preliminary data and to evaluate other aspects of QOL.

Abstract Patients during cancer treatment and cancer survivors frequently utilize complementary and alternative medicine (CAM) therapies. While the beliefs and knowledge regarding CAM of many cancer-specific patient groups have been well studied such as breast cancer patients and prostate cancer patients, no specific evaluation of lymphoma survivors and their beliefs and knowledge about CAM has been undertaken. Because CAM can yield both risks such as toxicity and displacement of efficacious therapy as well as potential benefits such as improvement in quality of life and mood, we surveyed lymphoma survivors in a pilot study to ascertain their current beliefs, knowledge, and utilization of CAM. Using the Mayo Tumor Registry, we identified eligible patients who were 16 years or older at diagnosis, U.S. residents, first diagnosed with Hodgkin or non-Hodgkin lymphoma from 1984–1998, diagnosed and/or initially treated at Mayo Clinic Rochester, and survived for 5 to 20 years (N=2,485). In October of 2004, we mailed a 23-page survey to 95 randomly selected patients; 7 were found to be ineligible (deceased or too ill). Of the 88 remaining patients, we were able to find a correct address for 82, and 57 completed a survey for a 70% participation rate. Complete data were available on 54 patients at the time of this analysis. The mean age at completion of the questionnaire was 60.8 years (26.1–86.7). The mean time since diagnosis was 12.0 years (6.3–19.9), and 52% survived more than 11 years. The histologies included 22 (39%) Hodgkin lymphoma, 21 (38%) diffuse large B-cell, 3 (5%) follicular, 1 (1%) high grade, 5 (9%) peripheral T-cell lymphoma, and 4 (7%) other. A majority of patients expressed no knowledge about the use of CAM cancer care, while only 4% of patients responded that CAM could both cure cancer and that it was perfectly safe. Ten to twenty percent of patients felt that CAM could assist other therapeutic interventions, relieve symptoms, assist the body to heal or increase quality of life. Fifteen percent of patients reported that CAM utilization increased the feeling of control, and 24% reported that CAM could have side effects. With respect to CAM utilization, overall 32% of patients had ever used CAM, but no patients reported that CAM usage was directed specifically towards their lymphoma. The most commonly used CAM modalities were chiropractic (39%), massage (21%), relaxation therapy (7%), meditation (5%) and acupuncture (5%). Overall usage of dietary supplements was relatively low, with green tea, garlic, flax seed, and echinacea being the only dietary supplements used by more than 10% of respondents. Five percent had used St. John’s Wort and 7% had used shark cartilage. In conclusion, lymphoma long-term survivors appear to use CAM at a rate similar to the general population, which does not follow the typical pattern seen in other cancer survivorship populations. The use of St. John’s Wort has potential risks if not identified prospectively. At the same time, lack of access to potentially beneficial modalities was also identified, and these observations suggest the opportunity for further study of targeted educational interventions regarding the use of CAM in this population.

Abstract Background: DLBCL without an event (disease progression, retreatment or death) within 24 months post diagnosis have a subsequent overall survival equivalent to that of the age- and sex-matched general population. In contrast, patients with an event with 24 months post diagnosis have poor survival. Patients experiencing early events are a heterogeneous group, consisting of patients with primary refectory disease and responding patients who later developed relapse. While the outcome of patients with primary refractory disease have been recently studied, little is known about or patients who have a response following immunochemotherapy (IC) and proceed to surveillance. These patients are the subject of recently completed and ongoing post-IC maintenance trials. To provide perspective, we analyzed outcomes of patients from a prospective observational study entering post IC. Methods: Newly diagnosed patients with DLBCL and treated with anthracycline-based immunochemotherapy were enrolled in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER) from 2002-2009. End of immunochemotherapy (EOIC) was defined as the date the patient entered surveillance after completion of anthracycline-based IC as per our previous study of surveillance imaging. Response status at EOIC was abstracted as reported from the clinical and radiographic (CT and/or PET) reports. EFS24 was defined being event-free at 24 months from diagnosis, where events consisted of progression, re-treatment, or death (any cause) after initial immunochemotherapy. Survival from EOIC was compared to the general United States population using standardized mortality ratios (SMR) and expected survival. Logistic regression with EFS24 as the endpoint was used to identify pretreatment variables that inform prognosis at the time of EOIC, using Odds ratios (ORs) and 95% confidence intervals (CI) as the measure of association. A subset analysis was performed in the patients aged 60-80 with aaIPI 1-3. Results: 680 patients with DLBCL were enrolled in the MER and initiated R-CHOP or comparable IC from 2002-2009. 552 pts (81%) completed therapy and proceeded to surveillance. Median age of the 552 patients was 61 years (range 18-92) and 51% were male. At a median FU of 89 months from EOIC (range 5-156), 146 pts (26%) had died, and 467 (86%) achieved EFS24. From EOIC, the 5 year overall survival was 82% compared to 91% expected based on age and sex matched general population; SMR was 1.88 (95% CI: 1.60-2.22). In the patients age 60-80 with aaIP1 1-3, (N=203), 79% achieved EFS24 and the 5-year OS from EOIC was 75% compared to 89% expected; SMR was 2.08 (95% 1.65-2.61). When examining all 552 patients proceeding to surveillance at end of EOIC, several high-risk disease characteristics at diagnosis were associated with higher risk of failing EFS24 after completion of therapy: ECOG PS 2-4 (OR = 2.72, 95% CI: 1.55-4.78) , LDH> ULN (OR = 3.54, 95% CI: 1.99-6.31), Stage III/IV (OR=2.43, 95% CI: 1.41-4.16), and aaIPI (per-point OR = 2.02, 95% CI: 1.54-2.64). Patients reported to be in CR at EOIC were more likely to achieve EFS24 (90%) compared to patients not in CR (72%, p<0.001). Conclusion: Patients entering surveillance after IC have shortened overall survival when compared with the general US population, with significant proportion of patients having an event within 24 months of diagnosis. Increased aaIPI and response less than CR are risk factors for inferior EFS24 in this group. Assessment of the prognostic value of EOIC response (PR vs. CR based on central review) is ongoing. Disclosures Nowakowski: Celgene: Research Funding; Morphosys: Research Funding; Bayer: Consultancy, Research Funding. Maurer:Celgene: Research Funding; Kite Pharma: Research Funding. Howlett:Celgene: Employment, Equity Ownership. 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.