Thompson, Carrie A.

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 We have recently reported that event-free survival at 24 months from diagnosis (EFS24) is a robust endpoint for assessment of disease related outcome for newly diagnosed patients with diffuse large B-cell lymphoma (DLBCL) treated with anthracycline-based immunochemotherapy (IC). Patients who achieve EFS24 following IC have a subsequent overall survival that is equivalent to the age and sex matched general population. The IPI was developed in the pre-rituximab era using OS/EFS endpoints. While the IPI is associated with outcome in the IC era, the original survival estimates for the IPI risk groups are outdated. The IPI is also a discrete risk classifier, with only 6 possible groups. Here we remodel the IPI using EFS24 as the endpoint in a large international cohort of patients treated with IC. This model provides an individual level 0-100% risk of failing to achieve EFS24 for each patient and can be used for patient prognosis, treatment stratification, and risk assessment. Methods Newly diagnosed DLBCL patients treated with immunochemotherapy from the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource, NCCTG N0489 clinical trial, GELA LNH2003B program, and a Lyon, France based hospital registry were included in the original EFS24 study. Patients with a relapse, progression, unplanned re-treatment, or death due to any cause within 730 days of diagnosis were considered a failure for the EFS24 endpoint. Patients alive and progression/relapse free at 730 days from diagnosis with no subsequent treatment following initial IC were considered a success for the EFS24 endpoint. Variables selected for potential model inclusion were the IPI components (age, stage, ECOG PS, number of extranodal sites, and LDH), as well as standard clinical variables typically reported in studies of DLBCL: presence of B-symptoms, bone marrow involvement, bulky disease (>10 cm), and sex. The IPI24, a prognostic model for EFS24, was developed using logistic regression models. Model building began by fitting the classic IPI score (0-5), then allowing individual IPI variables to carry different model weights and number of categories, followed by dropping insignificant variables, finally adding any additional significant variables. Model performance was assessed using bias corrected c-statistics, AIC, and R2 values. Model selection was done using the complete case set with multiple imputation on the full dataset used to refine parameter estimates for the final model. Results 1596 total patients were available for modeling. The median age was 62 (range 18-93) and 53% were male; 33% were IPI 0-1, 25% were IPI 2, 25% were IPI 3, and 17% were IPI of 4-5. The failure rate for achieving EFS24 was 29%. All variables but sex (p=0.33) were univariately associated with EFS24 (p<6.4x10-5). The original IPI had good prognostic ability for EFS24 (c=0.696, p=2.2x10-32). Allowing multiple categories for ECOG PS, stage, and age (continuous) improved model fit and prognostic ability (c=0.727). The number of extranodal sites was not significant when IPI variables were modeled separately and was removed from the model. Sex and bulky disease were additional significant variables when added to the model. Thus, the final IPI24 model contained the following risk predictors: male sex, ECOG PS (0 vs. 1 vs 2 vs 3-4), stage (I vs. II, vs. III vs. IV), LDH (elevated vs. normal range), bulky disease > 10cm, and age (continuous). This model resulted in improved fit and prognostic ability (c=0.749) over the standard IPI (c=0.696, bootstrap p<0.001). Model validation was performed on an additional 158 patients from the SPORE MER and showed good concordance (c=0.697). Additional validation is planned in a larger set of independent patients. Conclusion The IPI24, generated using standard clinical variables, yields an individual risk prediction for failing to achieve EFS24 following IC for treatment of DLBCL. The IPI24 has superior prognostic ability to the standard IPI and can be implemented in the clinic using a nomogram or as a simple electronic application. Disclosures: No relevant conflicts of interest to declare.

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: 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.

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

Abstract Abstract 1580 Background: Extranodal Marginal Zone Lymphomas of Mucosa Associated Lymphoid Tissue (MALT) account for approximately 5% of all non-Hodgkin Lymphoma cases. Specific MALT lymphomas are characterized by distinct clinical features, treatment strategies, and outcome, depending on site of the disease. While previous reports have described clinical course and treatment of gastric and pulmonary MALT lymphomas, a paucity of data exist describing primary parotid MALT lymphoma. This is a single institution experience. Methods: Patients with primary parotid MALT lymphoma were identified from the Mayo Clinic Lymphoma Database since 1986. This database includes all consenting patients with lymphoma seen at Mayo Clinic Rochester. Clinical characteristics, treatment, and outcomes were collected. Pathology was reviewed by a lymphoma pathologist; WHO criteria were used for diagnosis. PFS and OS were assessed using the Kaplan-Meier method and Cox proportional hazard model was used to asses the impact of variables on PFS and OS. Results: Seventy-six consecutive patients with primary parotid MALT lymphoma were evaluated and treated at Mayo Clinic from 1986 to 2010. The median age at diagnosis was 60 years (18–90). 58 (76%) were female. 42 (55.3%) patients had a history of Sjögren's Disease and 51 (67.1%) had a history of autoimmune disorders. 52 (68.4%), 4 (5.3%), and18 (23.7%) had stage I, II, and IV disease, respectively. 2 cases did not have complete staging information. 6 (7.8%) and 2 (2.6 %) had bone marrow and lung involvement, respectively. No patients had GI tract, liver, or CNS involvement. Median estimated OS (overall survival) was 18.3 years and median PFS (progression free survival) was 7.9 years. ALC<0.96 (p=0.0162) were associated with shorter survival. Age, ECOG performance score, stage, LDH, and history of Sjögren's disease were not prognostic for overall survival. The treatment approach and PFS are outlined in the table. For stage I disease, outcomes were excellent with local therapy. The median estimated PFS was 7.9 years with 72% of patients undergoing surgery surviving at 8 years. Patients receiving radiotherapy had an estimated median PFS of 15.7 years and median OS of 18.3 years. In contrast, patients being observed had a median PFS of 5.5 years. The use of systemic therapy with chemotherapy, immunotherapy or in combination was associated with a median PFS of 7.4 years. Summary: Primary parotid MALT lymphoma is strongly associated with Sjögren's disease. This lymphoma is usually limited to the parotid and associated with a favorable prognosis. For limited disease, local treatment with radiation or surgery appears to be an effective treatment options. For extensive disease, both immunotherapy and chemotherapy are efficacious treatments. Further prospective studies and long-term follow up are needed to determine the optimal treatment approaches and efficacy of chemotherapy/immunotherapy regimens. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 4136 Background: The serum free light chain (FLC) assay quantitates free kappa and free lambda immunoglobulin light chains. This assay has prognostic value in MGUS, multiple myeloma (MM), solitary plasmacytoma, and amyloid light chain (AL) amyloidosis, and has been incorporated in response criteria for both MM and AL amyloidosis. We previously showed elevated FLC was associated with poor outcome in diffuse large B-cell lymphoma (DLBCL) patients from a phase II cooperative group clinical trial (Blood (ASH Annual Meeting Abstracts) 2009 November 20, 2009; 114(22): 136). Here we replicate those findings in a large clinic based epidemiology cohort, as well as examine FLC abnormalities in other lymphoma subtypes. Methods: Newly diagnosed lymphoma patients were prospectively enrolled in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER). Serum FLC was quantitated from enrollment research serum draws within 9 months of diagnosis using the Freelite FLC assay (The Binding Site, Ltd., Birmingham, UK). Elevated FLC was defined as either kappa or lambda above the published reference range. Monoclonal elevated FLC was defined as elevated FLC with an abnormal FLC ratio; polyclonal elevated FLC was defined as elevated FLC with an FLC ratio in the normal reference range. 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 unadjusted association between FLC and outcome. Results: 1118 lymphoma patients diagnosed between September 2002 and February 2008 with available serum were assayed. At a medium follow-up of 49 months (range 1–94), 484 patients (43%) had an event and 249 patients died (22%). Elevated FLC was present in 27% of lymphomas, with prevalence ranging from 13% in follicular lymphoma (FL) to 64% for mantle cell lymphoma (MCL) and 77% for lymphoplasmacytic lymphoma. Elevated FLC was present in 27% of DLBCL and associated with poor EFS (monoclonal hazard ratio (HR)=2.56, polyclonal HR=1.99, all p<0.001) and OS (monoclonal HR=3.22, polyclonal HR=2.91, all p<0.0001), replicating our previous findings. Elevated FLC was generally polyclonal (FLC ratio normal) across lymphoma subtypes, though monoclonal elevated FLC (FLC ratio abnormal) was common in MCL and the post-follicular lymphomas. Elevated FLC was associated with inferior EFS in all lymphomas combined (monoclonal HR=1.92, 95% CI:1.44-5.55, polyclonal HR=1.38, 95% CI:1.09-1.74); this association remained consistent in most subtypes (see table). In addition, elevated FLC was associated with poor EFS in MCL (monoclonal) and Hodgkin lymphoma (HL; polyclonal). Elevated FLC was also significantly associated with OS in HL (polyclonal HR=6.24, 95% CI 2.44–15.9), FL (polyclonal HR=5.85, 95% CI 2.62–13.0), post follicular lymphomas (polyclonal HR=4.16, 95% CI 1.17–14.8), as well as for all lymphomas combined (monoclonal HR=2.24, 95% CI 1.52–3.29, polyclonal HR=2.33, 95% CI 1.74–3.11). Conclusions: A significant percentage of lymphoma patients have elevated FLC. Our previous discovery of elevated FLC predicting poor outcome in DLBCL was confirmed in a large, independent dataset. Prevalence and type of elevated FLC (monoclonal vs. polyclonal) varies by lymphoma subtype. Elevated monoclonal and polyclonal FLC is associated with poor outcome broadly in lymphoma, as well as specifically for a number of lymphoma subtypes, supporting FLC as a potentially useful prognostic biomarker in many lymphoma subtypes. Disclosures: No relevant conflicts of interest to declare.

Abstract Background Waldenstrom macroglobulinemia (WM) is an IgM-associated lymphoplasmacytic lymphoma, first described over seven decades ago. Although WM is typically a disease of the elderly, with a median age at diagnosis of ~ 67 years, approximately 10% of patients are ≤50 years (y) of age at diagnosis. Data for young patients are sparse and the few available studies demonstrate inconsistent findings, with potential overestimation of survival owing to inclusion of patients with smoldering WM. In this case-control study, we evaluate outcomes, prognostic features and impact of changing therapies in a large cohort of young symptomatic WM patients compared to matched older patients seen over the course of the past five decades. Methods The medical records of all WM patients seen consecutively at Mayo Clinic from 01/1960 to 10/2013 were reviewed. Of 1181 patients, 140 (11.8%) were ≤ 50 y of age at diagnosis. A cohort of patients 65 y or older at diagnosis, matched 1:1 by the time of diagnosis, served as the control population. The patients were divided into 3 groups based on the timing of initiation of therapy: Group 1 (1960-1977), Group 2 (1978-1995) and Group 3 (1996-2013). The baseline characteristics were compared. Initiation of frontline therapy was used for all time-to-event analysis using the Kaplan Meier method. Results Younger patients were more likely to present with adenopathy and splenomegaly, have higher IgM levels and hyperviscosity symptoms (Table 1). The median follow-up from the frontline therapy was similar (10.7 y vs. 10 y for the control population). At the time of analysis, 91% of the deaths for the younger cases were WM-related compared to 58% in the control arm (p=0.0001). Younger patients had a better OS with a median disease-specific survival (DSS) of 15.6 y (95% CI: 13-21; 10-y OS of 77%) vs. 11 y (95% CI: 7.8-12; 10-y OS of 51%) for the older patient (p=0.0003). Among the young patients, there was no difference in the median DSS across the 3 groups (p=0.42). However, the median DSS for the control group incrementally improved (p=0.02) over the 3 time periods (Table 1). In the younger patients, no improvement in DSS was noted with the use of either frontline rituximab-based therapy compared to non-rituximab based regimens [median NR (95% CI: 7.6-NR) vs. 15.8 y (95% CI: 13-22) with other regimens, p=0.30], or frontline chlorambucil-based compared to non-chlorambucil based regimens [median 16 y (95% CI: 12-22) vs 15.6 y (95% CI: 12-NR) with other regimens, p=0.73]. In the control group, however, there was significant difference in DSS among patients who received frontline rituximab-based compared to non-rituximab based regimens [median NR (95% CI: 8.3-NR) vs 9.1 y (95% CI: 5.6-12) with other regimens, p=0.04], or frontline chlorambucil-based vs non-chlorambucil based regimens [8 y (95% CI: 5-12) vs 12.3 y (95% CI: 11-NR) in other regimens; p=0.001]. Conclusion Striking differences in presentation are evident in young WM patients compared to their older counterparts. The incorporation of rituximab to the previously existing anti-WM regimens and the transition to non-chlorambucil based regimens has resulted in substantial survival gains in the older WM population over the past five decades. However, such improvement in outcome has not yet been observed in the young patients. The majority of younger patients, despite a protracted disease course, succumb to their disease. Disclosures Ansell: BMS, Seattle Genetics, Merck, Celldex and Affimed: Research Funding. Ailawadhi:Pharmacyclics: Consultancy; Novartis: Consultancy; Amgen Inc: Consultancy; Takeda Oncology: Consultancy. Reeder:Novartis: Research Funding; Celgene: Research Funding; BMS: Research Funding; Millennium: Research Funding. Kumar:Kesios: Consultancy; Janssen: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; AbbVie: Research Funding; BMS: Consultancy; Onyx: Consultancy, Research Funding; Glycomimetics: Consultancy; Millennium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees. Dispenzieri:Alnylam: Research Funding; Celgene: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Prothena: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees; pfizer: Research Funding; Jannsen: Research Funding. Kapoor:Celgene: Research Funding; Takeda: Research Funding; Amgen: Research Funding.

Abstract Background: Diffuse large B-cell lymphoma (DLBCL) is curable for the majority of patients treated with anthracycline based immunochemotherapy (IC). However, up to 40% of patients will relapse or require retreatment of DLBCL and outcomes are poor in this setting. Here we examine the incidence, treatment patterns and outcomes of relapsed DLBCL in 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 DLBCL or primary mediastinal B-cell lymphoma (PMBCL) who underwent front-line anthracycline based IC; patients with primary CNS lymphoma or PTLD were excluded. All relapse and re-treatments were verified by medical record review. Response to front-line therapy was retrospectively classified per 2007 Revised Response Criteria for Malignant Lymphoma from available clinical and radiology records. Unplanned consolidative radiation (RT) without biopsy proven disease after achieving PR from IC (N=21) was not classified as a relapse. Results: 1039 patients with 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 577 patients (56%) were male. 647 patients (63%) had stage III/IV disease and IPI at diagnosis was 0-1 in 350 patients (34%), 2 in 305 patients (29%), 3 in 250 patients (24%) and 4-5 in 134 patients (13%). At a median follow-up of 59 months (range 1-148), 258 patients had relapse or retreatment of DLBCL of which 184 (71%) died. Incidence of relapse was 21.7% (95% CI: 19.3%-24.4%) at 2 years and 25.5% (95% CI: 22.9%-28.5%) at 5 years. In addition, the incidence of lymphoma related death without documented relapse or retreatment was 4.7% (95% CI: 3.6%-6.2%) at 2 years. At first relapse, 174 patients (67% of relapsed) received platinum based salvage therapy with 90 (52%) subsequently proceeding to autologous stem cell transplant (ASCT). 22 patients received CNS directed systemic therapy at relapse with 9 (41%) proceeding to transplant, and 43 received non-platinum-based salvage systemic therapy with 7 proceeding to transplant (17%), 15 patients received RT only as 2nd line therapy, and 4 were untreated. At a median follow-up of 56 months (range 6-121) post-transplant, 39 of 107 patients who underwent transplant remain in remission with a 2-year post-transplant progression-free survival of 45% (95% CI 37%-56%). Response to front-line IC was predictive of post-relapse outcome. Survival post-relapse was superior in the 162 patients with responsive disease (CR or PR) at the end of front-line IC (median OS 21.0 months) compared to the 88 patients who had stable or progressive disease (median OS 6.8 months, HR = 2.33, 95% CI: 1.73-3.14 p<0.0001). Transient response in midst of front-line IC was similar to no response. Patients achieving a CR or PR to front-line IC were more likely to proceed to ASCT at relapse (55%) compared to patients with either SD or PD at the end of front-line IC (25% and 17% respectively, p<0.0001). Other factors associated with poor survival at first relapse were relapse within 12 months of diagnosis (HR = 2.24, 95% CI: 1.57-3.18, p<0.0001), IPI at diagnosis of 3-5 (HR=1.51, 95% CI: 1.13-2.03, p=0.0058), and age > 60 (HR =1.51, 95% CI: 1.12-2.03, p=0.0064). There was no difference in survival at first relapse by cell of origin (HR = 1.13, 95% CI: 0.74-1.72, p=0.59). Conclusions: Most patients undergo therapy after relapsed/refractory DLBCL but only one-third receive ASCT. Outcomes following all treatments for relapsed/refractory DLBCL remain poor. Factors associated with adverse outcomes include refractory to front-line therapy, early relapse, baseline IPI and advanced age. These outcomes provide relevant historical control for the many novel agents being tested in this unmet need. Figure 1. Figure 1. Disclosures Farooq: Kite Pharma: Research Funding. Maurer:Kite Pharma: Research Funding. Cerhan:Kite Pharma: Research Funding. Link:Genentech: Consultancy, Research Funding; Kite Pharma: Research Funding. Thompson:Kite Pharma: Research Funding.