Friedberg, Jonathan W.

Abstract Background: Follicular lymphoma (FL) is the most common indolent NHL with a heterogenous natural history of disease and a median survival of 8 to 12 y, albeit ranging between 1 to 20 y. Casulo et al. (2015) identified a high-risk FL cohort of patients with progression of disease (POD) at ≤24 months following initiation of immunochemotherapy with R-CHOP. Idelalisib (Zydelig) is a first-in-class, highly selective, oral inhibitor of PI3Kd which is indicated for relapsed FL or SLL following receipt of at least two lines of systemic chemotherapy. Retrospective subgroup analysis of the idelalisib registrational trial NCT01282424 (101-09) of a cohort with early POD following immunochemotherapy was performed to assess possible activity of idelalisib in this population. Methods: A subset of 46 patients enrolled in study 101-09 were identified as having been diagnosed with FL and having received first-line immunochemotherapy, of which 37 experienced early POD, defined as starting second-line treatment within 24 months of initial first-line treatment. For the latter group, descriptive statistics of demographic and baseline characteristics and inter-treatment intervals in months as well as Kaplan-Meier estimates of progression-free survival (PFS) and overall survival (OS) following initiation of immunochemotherapy and idelalisib were calculated. Population: Demographic characteristics of these 37 patients included median (range) age at initiation of idelalisib of 64 (33-84) y and 18 (48.6%) females. Histologic grade at diagnosis included 33 (89.2%) with grades 1 or 2 as well as 4 (10.8%) with grade 3A, while 21 (56.8%) patients had a FLIPI score ≥3. The mean (s.d.) number of prior therapies was 3.4±1.4, with a range of 2 to 8, while first-line therapies included 21 (56.8%) patients who received R-CHOP-based regimens, 7 (18.9%) who received BR, and 5 (13.5%) who received R-CVP. Mean (s.d.) inter-treatment intervals included 12.5±6.1 months between first- and second-line for all patients, 9.7±9.3 months between second- and third-line for all patients, 11.9±12.0 months between third- and fourth-line for 24 (64.9%) patients, and 11.8±7.6 months between fourth- and fifth-line for 15 (40.5%) patients. Median (range) time from first-line therapy to idelalisib initiation was 30.3 (8.9-94.7) months; no patient received idelalisib as second-line therapy. Results: Best responses included 5 (13.5%) patients with CR, 16 (43.2%) with PR, 2 (5.4%) with SD, and 1 (2.7%) with PD; median duration of response for those with CR or PR was 11.8 months (95% CI: 3.8 months, not evaluable). There were 7 (18.9%) deaths and 21 (56.8%) PFS events in this group. Estimated probabilities of survival (s.e.) and progression-free status at 2 y following initiation of idelalisib were 79%±7% and 29%±10%, respectively. Median PFS was 11.1 months (95% CI: 5.5, 19.3 months). Estimated probability of survival (s.e.) at 5 years following initiation of first-line treatment was 79%±8%. Median overall survival from both initiation of first-line immunochemotherapy as well as with idelalisib was not reached during the course of this study. Conclusions: Idelalisib may have significant clinical activity in high-risk and doubly-refractive FL following early relapse status post first-line immunochemotherapy. Given the small size of the studied subset population which may not be representative, further characterization in additional patients is warranted to ensure the generalizability of this finding, including consideration of further investigational protocols featuring targeted therapies employed both as single agents and in combination. Figure 1. Overall Survival From Initiation of First-line Treatment Figure 1. Overall Survival From Initiation of First-line Treatment Figure 2. Overall Survival From Initiation of Idelalisib Figure 2. Overall Survival From Initiation of Idelalisib Figure 3. Progression-Free Survival From Initiation of Idelalisib Figure 3. Progression-Free Survival From Initiation of Idelalisib Disclosures Gopal: Gilead, Spectrum, Pfizer, Janssen, Seattle Genetics: Consultancy; Spectrum, Pfizer, BioMarin, Cephalon/Teva, Emergent/Abbott. Gilead, Janssen., Merck, Milennium, Piramal, Seattle Genetics, Giogen Idec, BMS: Research Funding; Millennium, Seattle Genetics, Sanofi-Aventis: Honoraria. Kahl:Roche/Genentech: Consultancy; Seattle Genetics: Consultancy; Millennium: Consultancy; Cell Therapeutics: Consultancy; Celgene: Consultancy; Infinity: Consultancy; Pharmacyclics: Consultancy; Juno: Consultancy. Flowers:Infinity Pharmaceuticals: Research Funding; Genentech: Research Funding; Spectrum: Research Funding; Millennium/Takeda: Research Funding; Seattle Genetics: Consultancy; Spectrum: Research Funding; Pharmacyclics: Research Funding; AbbVie: Research Funding; AbbVie: Research Funding; Gilead Sciences: Research Funding; Pharmacyclics: Research Funding; Onyx Pharmaceuticals: Research Funding; Celegene: Other: Unpaid consultant, Research Funding; OptumRx: Consultancy; Gilead Sciences: Research Funding; Janssen: Research Funding; Acerta: Research Funding; Millennium/Takeda: Research Funding; Acerta: Research Funding; Infinity Pharmaceuticals: Research Funding; Janssen: Research Funding; Onyx Pharmaceuticals: Research Funding. Martin:Janssen: Consultancy, Honoraria; Acerta: Consultancy; Gilead: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Bayer: Consultancy. Link:Genentech: Consultancy, Research Funding; Kite Pharma: Research Funding. Ansell:Bristol-Myers Squibb: Research Funding; Celldex: Research Funding. Ye:Gilead: Employment. Koh:Gilead: Employment. Abella:Gilead: Employment. Barr:Pharmacyclics LLC, an AbbVie Company: Consultancy, Research Funding; Abbvie: Consultancy; Gilead: Consultancy. Salles:Calistoga Pharmaceuticals, Inc.; Celgene Corporation; Genentech, Inc.; Janssen Pharmaceutica Products, L.P.; Roche: Consultancy; Celgene Corporation; Roche and Gilead Sciences: Research Funding; Celgene Corporation; Roche: Speakers Bureau.

Abstract Background: We recently clarified the use of consolidative autologous stem cell transplantation (ASCT) as first remission consolidation therapy for high grade diffuse aggressive T and B non-Hodgkin's lymphoma (NHL)in patients with high-intermediate (HI) or High (H) age adjusted IPI disease (Stiff et al, NEJM 369:1681). After receiving CHOP or R-CHOP for 5 cycles responding patients were randomized to either 3 more induction cycles or 1 cycle followed by an ASCT using either a BCNU or TBI based preparative regimen. We found a PFS but not OS advantage for those randomized to transplant and no differential treatment effect for those with T-NHL patients as compared to B-NHL in the initial analysis of this study. In light of Phase II data suggesting a value of early ASCT for T-NHL, a lack of randomized ASCT trials for T-NHL and the inferior prognosis for T-NHL as compared to B cell disease, we further evaluated this sub group, since a post hoc analysis of the entire trial did find a survival advantage for those with H IPI disease. This then provided a unique opportunity to evaluate the role of ASCT consolidation for T-cell NHL in the setting of a prospective randomized trial. Method: Among the 370 eligible B-NHL and T-NHL patients with HI/H IPI disease treated on this trial, 40 had a T-NHL phenotype and were the subject of this analysis. Individual patient files were re-reviewed and those randomized after the first 5 cycles of CHOP were further analyzed for stage, IPI group, histology (centrally reviewed), and response to induction and consolidation and updated survival outcome. Results: Of the 40 T-NHL patients enrolled on study, 28 (70%) were randomized after induction therapy, a similar ratio to the entire trial (68%). Twelve were not randomized; 1 was ineligible for study, and of the eligible 11, 9 were HI IPI and 8 had peripheral T cell (PTCL-NOS). These 11 were not randomized due to patient choice in 2, and all of the remaining 9 pts progressed early: 2 after C1; 3 after C3, 1 after C4, and 3 after C5. For the 28 randomized, their median age was 50 and 19 were males. Of the group, 21/28 had B symptoms at diagnosis, 14 had stage IV disease, and 18 and 10 were in the HI and H IPI groups respectively. Histologies included 11 with PTCL-NOS, 7 angioimmunoblastic and 10 anaplastic large cell NHL. At randomization 13 were to continue CHOP and 15, ASCT. Of the 15 assigned to ASCT, 3 did not undergo transplant (2-refusals, 1- unable to mobilize); 7 received the BCNU-etoposide-cyclophosphamide and 5 the TBI-etoposide-cyclophosphamide preparative regimen. The 5 year estimates of PFS and OS for the randomized ASCT vs CHOP only groups (intent to treat) were 40% vs 38% (p=0.56) and 40% vs 45% (p=0.98) respectively. We found no difference in outcome based on IPI group, histology or stage of disease. Interestingly, only 1/7 patients who received BCV as the ASCT preparative regimen are long term survivors vs 4/5 receiving the TBI-based regimen. Conclusions: We did not observe a PFS/OS advantage for those with high-risk T-NHL in first remission randomized to ASCT following CHOP induction vs CHOP alone in this retrospective analysis. In addition, the 30% early drop out rate before randomization due primarily to early progression strongly suggests that more optimal induction regimens need to be developed for this disease. While the numbers are small the finding that TBI based preparative regimens might be associated with a higher PFS is of interest and deserves further study. Support: NIH/NCI grants CA180888 and CA180819; Bristol-Myers Squibb. Contributions of Dr. Raymond R Tubbs, deceased, are gratefully acknowledged. Figure 1 Figure 1. Disclosures Porcu: miRagen: Other: Investigator in a clinical trial; celgene: Other: Investigator in a clinical trial; Millenium: Other: investigator in a clinical trial; Innate Pharma: Other: Investigator in a clinical trial. Winter:Pharmacyclics: Research Funding; Medivation: Other: Provision of investigational agent for clinical trial; Seattle Genetics: Research Funding; GSK: Research Funding. Kahl:This study was coordinated by the ECOG-ACRIN Cancer Research Group (Robert L. Comis, MD and Mitchell D. Schnall, MD, PhD, Group Co-Chairs) and supported by the National Cancer Institute of the National Institutes of Health under the following award number: Research Funding. Smith:Juno: Consultancy; TGTX: Consultancy; AbbVie: Consultancy; Celgene: Consultancy; Genentech: Consultancy, Other: on a DSMB for two trials ; Gilead: Consultancy; Portola: Consultancy; Amgen: Other: Educational lecture to sales force; Pharmacyclics: Consultancy. 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.. Fisher:Gilead: Consultancy; Seattle Genetics: Consultancy; Johnson and Johnson: Consultancy. Friedberg:Bayer: Honoraria, Other: Data Safety Monitoring Board.

Abstract Background: Patients (pts) with refractory aggressive non-Hodgkin lymphoma (NHL) have poor outcomes with currently available therapies, with a complete response (CR) rate of 8%, a partial response (PR) rate of 18%, and median overall survival (OS) of 6.6 months (mo) as demonstrated in the 635 pt SCHOLAR-1 meta-analysis (Crump, ASCO 2016; abstract 7516). ZUMA-1 is the first multicenter trial of anti-CD19 chimeric antigen receptor (CAR) T cells in refractory, aggressive NHL (NCT02348216). The phase 1 portion of ZUMA-1 showed ongoing CRs at 12+ mos in 43% of pts (Locke, ESMO 2016; abstract 1048O). The pivotal phase 2 portion of ZUMA-1 comprises 2 cohorts based on tumor type: DLBCL (cohort 1) and primary mediastinal B-cell lymphoma or transformed follicular lymphoma (cohort 2). Here, we present results of a prespecified interim analysis from cohort 1. Methods: Pts received a target dose of 2 × 106 anti-CD19 CAR T cells/kg after a low-dose conditioning regimen of cyclophosphamide (500 mg/m2) and fludarabine (30 mg/m2) daily for 3 days. The primary endpoint is objective response rate (ORR) per 2007 IWG criteria. Key secondary endpoints include duration of response, frequency of adverse events (AEs), and levels of CAR T cells and serum cytokines. Key inclusion criteria include age ≥18 years, ECOG performance status (PS) 0-1, and refractory disease defined as progressive disease or stable disease as best response to last line of therapy, or disease progression ≤12 mos after autologous stem cell transplant (ASCT). Pts must have received a prior anti-CD20 antibody and an anthracycline-containing regimen. A prespecified interim analysis was to be conducted to determine early efficacy with a nominal alpha level of 0.017 in 50 treated pts in cohort 1 with a minimum follow-up of 3 mos. Results: In total, 111 pts from 22 institutions were enrolled and leukapheresed, and 101 pts received KTE-C19. As of August 24, 2016, 51 pts in cohort 1 were eligible for analysis. Median age was 58 years (range, 25-76), 73% were male, 71% had ECOG PS 1, 78% were refractory to ≥2 lines of therapy, 20% relapsed ≤12 mos of ASCT, and 61% were treated with ≥3 lines of prior therapy. KTE-C19 was successfully manufactured in 99% of pts enrolled. Average turnaround time from apheresis to receipt of KTE-C19 at the clinical site was 17.4 days. With an ORR of 76%, the study met the primary endpoint (P<0.0001; exact binomial test comparing observed ORR to a historical control assumption of 20%), with 47% CRs and 29% PRs. 92% of responses occurred within the 1st mo, and 39% of pts had ongoing responses (CR in 33%) at 3 mos. Responses were seen across key covariates, including refractory subgroup (refractory to chemotherapy=76%, relapse post ASCT=80%). Kaplan-Meier estimates of progression-free survival at 1 and 3 mos were 92% and 56%, respectively. The most common grade ≥3 treatment-emergent AEs were neutropenia (67%), anemia (39%), thrombocytopenia (29%), febrile neutropenia (27%), and encephalopathy (24%). Grade ≥3 cytokine release syndrome (CRS) and neurologic events occurred in 20% and 29% of pts, respectively. There was 1 grade 5 KTE-C19-related event of hemophagocytic lymphohistiocytosis. CAR T cells expanded within 14 days of KTE-C19 infusion, and peak expansion was associated with ongoing response at mo 3 (P=0.008). Pts who developed grade ≥3 neurological events had increased serum levels of IL-15 (P=0.0002), IL-6 (P=0.003); IL-10 (P=0.009) and IP-10 (P=0.0003). Cytokines/chemokines returned to baseline levels in most pts by day 28. Data from 93 pts with at least 1 mo of follow-up at the data cutoff will be presented. Conclusions: ZUMA-1 is the first reported multicenter trial of CAR T cell therapy in pts with refractory aggressive NHL. KTE-C19 induced a nearly 6-fold higher CR rate compared to historical outcomes in SCHOLAR-1. Efficacy strongly associated with peak CAR T levels. Central manufacturing, logistics, and AE management were successfully implemented across 22 sites, most with no prior CAR T therapy experience. Results from cohort 2 of ZUMA-1 are also presented (Abstract #998). KTE-C19 demonstrated significant clinical benefit in pts with no curative treatment options. Supported in part by funding from The Leukemia & Lymphoma Society Therapy Acceleration Program®. Drs Neelapu and Locke contributed equally to this study. Disclosures Neelapu: Kite Pharma: Membership on an entity's Board of Directors or advisory committees, Research Funding. Locke:Kite: Membership on an entity's Board of Directors or advisory committees. Miklos:pharmacyclics: Research Funding; Kite Pharma: Research Funding; Roche: Research Funding; Novartis: Research Funding. Jacobson:Kite: Membership on an entity's Board of Directors or advisory committees. Siddiqi:Pharmacyclics: Speakers Bureau; Janssen: Speakers Bureau; Seattle Genetics: Speakers Bureau. Lin:Mayo Clinic: Employment; Janssen: Research Funding. Timmerman:Bristol-Myers Squibb, Kite Pharma, Valor Biopharmaceuticals, Janssen: Research Funding; Seattle Genetics, Genmab, Celgene: Consultancy, Honoraria. Goy:COTA: Membership on an entity's Board of Directors or advisory committees; Janssen/Pharmacyclics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Research funding for clinical trials through institution, Speakers Bureau; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Research funding for clinical trials through institution; Acerta: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genentech: Other: Research funding for clinical trials through institution. Smith:Abbvie: Research Funding; Celgene: Honoraria; Spectrum: Honoraria; Genentech: Honoraria. Deol:Jazz Pharmaceuticals: Consultancy. Avivi:Tel Aviv Sourasky Medical center: Consultancy, Other: consultancy to :BMS Roche. Westin:Genentech: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Spectrum: Membership on an entity's Board of Directors or advisory committees; ProNAi: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Chavez:Janssen: Speakers Bureau. Levy:Kite Pharma: Consultancy; Five Prime Therapeutics: Consultancy; Innate Pharma: Consultancy; Beigene: Consultancy; Corvus: Consultancy; Dynavax: Research Funding; Pharmacyclics: Research Funding. Reagan:Seattle Genetics: Research Funding. Bot:Kite Pharma: Employment, Equity Ownership. Rossi:Kite Pharma: Employment, Equity Ownership. Navale:Kite Pharma: Employment, Equity Ownership. Jiang:Kite Pharma: Employment, Equity Ownership. Aycock:Kite Pharma: Employment, Equity Ownership. Elias:Kite: Employment, Equity Ownership. Wiezorek:Kite Pharma: Employment, Equity Ownership. Go:Kite Pharma: Employment, Equity Ownership.

Abstract Background The international prognostic score (IPS) (Hasenclever et al., NEJM 1988) uses 7 factors (age> 45, male sex, hemoglobin<10.5, stage IV, leukocytosis > 15,000, and lymphopenia< 600) to predict a 5 year freedom from progression (FFP) of 42%-84% and overall survival (OS) of 56%-89% for patients with advanced HL. Constructed from a retrospective analysis of patients treated before 1992, the IPS continues to be the most commonly used risk stratification index for advanced HL. Recent studies suggest that the predictive range of the IPS has narrowed due to improved outcomes of patients treated with current therapy (Moccia et al. JCO 2012). In this report we prospectively evaluated the ability of the individual components of the IPS to predict outcome in patients enrolled on the US Intergroup trial E2496. Methods All seven IPS (IPS-7) variables were recorded for all patients at study entry. FFP was defined as the time from study entry to disease progression or relapse; deaths that occurred during remission that were not preceded by disease progression/relapse were censored. OS was defined as the time from study entry to death from any cause. Kaplan-Meier methodology was used to construct survival curves. Univariate and multivariate analysis (MVA) was performed using Cox proportional-hazards models. We subsequently constructed an alternative prognostic score utilizing the factors which were significant on MVA (PS-3). Results From 1996-2006, 854 patients with advanced HL, were randomized to treatment with either ABVD or Stanford V, with no significant differences in outcome (Gordon et al, JCO 2013). While the IPS-7 remained prognostic it did not stratify the lowest risk patients (0-1 risk factor) or patients with 3-5 risk factors, as its predictive range was narrowed due to improved clinical outcomes (Fig 1a and 2a). Table 1 shows the univariate and multivariate analysis for IPS-7 and outcomes. In contrast to the original IPS-7, on MVA, only two factors, hemoglobin and stage were significant for FFP, and three factors for OS: hemoglobin, stage, and age. We then evaluated a new 3 factor score (PS-3) utilizing variables significant on the MVA. The PS-3 was significant for both FFP (p=0.0001) and OS (p<.0001) and clearly separated patients into 4 distinct risk groups with either: 0, 1, 2 or 3 risk factors. The five year FFP was 83%, 74%, 68%, and 63% and OS was 95%, 85%, 75%, and 52% for patients with 0, 1, 2, and 3 risk factors, respectively (Table 2, Fig 1b and 2b). Conclusion In E2496, for patients with advanced HL, the PS-3 may stratify patients more clearly compared to IPS-7 and provide a simpler model to assess risk. Studies comparing PS-3 with IPS-7, and are ongoing. The incorporation of novel biomarkers and biologic factors into PS-3, as well as validation with other data sets is warranted. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: Follicular lymphoma (FL) is the second most common nodal lymphoma worldwide and remains incurable for most patients (pts). FL is recognized to be a highly heterogeneous disease and a subset of pts experience remarkable poor outcome. In a recent study, 19-26% of pts receiving first-line R-CHOP experienced progression of disease (POD) within 24 months after diagnosis and had a 5-year (yr) overall survival (OS) of only 34-50%, as compared to a 5-yr OS of 90-94% for pts without POD within 24 months (Casulo et al., J Clin Oncol 2015). Consequently, event-free survival at 12 (EFS12) and 24 months (EFS24) have been suggested as novel surrogate endpoints for poor overall survival in clinical trials and useful for patient counseling (Maurer et al., ASH 2014). We have previously shown that a clinicogenetic risk model (m7-FLIPI) that includes the mutation status of seven genes (EZH2, ARID1A, MEF2B, EP300, FOXO1, CREBBP, and CARD11), the FL International Prognostic Index (FLIPI), and the Eastern Cooperative Oncology Group (ECOG) performance status, improves risk stratification for failure-free survival (FFS) and OS in pts with FL receiving first-line immunochemotherapy (Pastore et al., Lancet Oncology 2015). An online tool is available at: http://www.glsg.de/m7-flipi. It would be advantageous to determine prognosis prior to front-line therapy rather than after POD. Thus, we aimed to investigate the predictive utility of the m7-FLIPI for early POD. Patients and Methods: Clinical and mutation data were available from two independent cohorts: 151 pts who received R-CHOP and IFN maintenance as part of a randomized trial of the German Low-Grade Lymphoma Study Group (GLSG), and 107 pts from a population-based registry of the British Columbia Cancer Agency (BCCA) who received R-CVP. Among the latter, 93 (87%) received R-maintenance by intention to treat. All pts had symptomatic, advanced stage or bulky disease considered ineligible for curative radiotherapy, and a biopsy specimen obtained </=12 months prior to the initiation of first-line therapy. POD was defined as progression, relapse, or death due to any cause. POD12 and POD24 were defined based on POD status at 12 and 24 months after therapy initiation, respectively. Logistic regression analysis was performed to assess if m7-FLIPI was predictive of early POD using the statistical software R (version 3.1.2). Results: In the GLSG cohort, median age was 57 yrs (range 27-77), 51% had high-risk FLIPI, and 5-yr failure-free survival (FFS) and OS rates were 66% and 83%, respectively (median follow-up for OS 7.7 yrs). In the BCCA cohort, median age was higher (62 yrs, 37-83), but high-risk FLIPI was similarly frequent (50%); 5-yr FFS and OS rates were 58% and 74%, respectively (median follow-up for OS 6.7 yrs). A total of 43 GLSG (28%) and 24 BCCA pts (22%) were classified as high-risk by m7-FLIPI, with a 5-yr OS of 65% and 42%, respectively. In the GLSG cohort, 8 (5%) and 29 pts (19%) had POD within 12 and 24 months, respectively, 4 and 10 pts were censored before POD12 and POD24 (table). High-risk m7-FLIPI pts were significantly more likely to experience early POD with an Odds Ratio (OR) of 20.80 (95% confidence interval (CI) 3.53-395.96; p=0.0052) for POD12 and 6.33 (95% CI 2.67-15.69; p<0.0001) for POD24. Likewise, in the BCCA cohort, 16 (15%) and 28 pts (26%) experienced POD12 and POD24, respectively (table). The OR for high-risk m7-FLIPI pts was 4.69 (95% CI 1.52-14.65; p=0.0068) for POD12, and 5.36 (95% CI 2.03-14.60; p=0.0008) for POD24. In the GLSG and BCCA cohorts, the m7-FLIPI had a sensitivity of 88% and 50%, a specificity of 75% and 82%, a positive predictive value (PPV) of 16 and 33%, and a negative predictive value (NPV) of 96% and 90% to predict POD12. For POD24, sensitivity was 62% and 46%, specificity 79% and 86%, PPV 42% and 54%, and NPV 82% and 82%, respectively. Conclusion: We conclude that patients classified as high-risk m7-FLIPI are highly enriched among those with early progression of disease. However, approximately one-half of patients with progression by 24 months after therapy initiation are classified as low-risk m7-FLIPI. Thus, further efforts are needed to refine the m7-FLIPI and thereby capture additional cases that may benefit from innovative first-line approaches. Table. Population m7-FLIPI N POD12 POD24 GLSG Total 151 8/147* 29/141* High-risk 43 7 18 Low-risk 108 1 11 BCCA Total 107 16/107 28/107 High-risk 24 8 13 Low-risk 83 8 15 *Pts censored were removed Disclosures Ansell: Bristol-Myers Squibb: Research Funding; Celldex: Research Funding.

Abstract Abstract 3708 Background: There are few prospective studies on disease characteristics, patterns of care, response, and outcomes in elderly FL patients (pts) in the US. The NLCS is a Genentech-sponsored prospective multicenter registry study that collects this information without study-specific treatment. We utilized the NLCS database to better understand the impact of age on FL outcome. Patients and Methods: All evaluable pts with FL histology in the NLCS were included except pts with FL plus other lymphoma histology or pts who progressed before first treatment or before being assigned to watchful waiting (WW). Using Pearson Chi-Square tests, associations of age groups (≤60, 61–70, >70) with disease characteristics and overall response (ORR) were examined. Median PFS and OS by treatment regimen were estimated using Kaplan-Meier methods for each age group. Cox proportional hazards regression adjusted for baseline factors (grade, number of nodal sites, LDH, Hgb, stage, performance status (PS), bone marrow (BM) involvement, race, and treatment center type) were used to assess treatment differences in PFS and OS and the significance of age by treatment interactions. Results: Of 2,647 pts, 47% (n=1,254) were ≤60 yrs, 25% (n=666) were 61–70 yrs, and 27% (n=727) were >70 yrs (min age of 22; max of 97). Compared with pts ≤60 yrs, pts 61–70 and >70 were more likely to be white (93% >70, 92% 61–70, and 88% ≤60, P=.02 and .02 respectively), have stage I/II disease (37% >70, 36% 61–70, and 29% ≤60, P=.0008 and .0003), have <5 nodal sites (73% >70, 69% 61–70, and 61% ≤60, P=.001 and <.0001), and have poor-risk FLIPI (53% >70, 51% 61–70, and 15% ≤60, P<.0001 and <.0001). Compared with pts ≤60, elderly pts (>70) were more likely to have FL grade 3 (24% vs 18%, P=.01). While there were no differences in geographic distribution by age, elderly pts were more likely to receive therapy at community practices (86%) versus academic institutions than pts ≤60 (77%, P<.0001) or 61–70 (81%, P=.004). Treatments varied significantly by age (P<.0001). More elderly pts were observed compared to pts ≤60 (23% vs19%). When treated, elderly pts (22%) were more likely to receive rituximab (R) monotherapy compared with patients aged 61–70 (12%) or ≤60 (10%). When chemotherapy alone or plus R was given, elderly pts were less likely to receive anthracyclines (45% vs 65% (61–70) and 68% (≤60)). Among all variables, only grade 3 histology predicted anthracycline use in all age groups. Lack of BM involvement predicted anthracycline use for younger pts (≤60 and 61–70). Of those ≤60, white pts were more likely to receive anthracyclines, and of those 61–70, those with ≥5 nodal sites were more likely to receive anthracyclines. ORRs were similar across age groups receiving similar regimens with R plus chemo providing the highest ORR. Adjusting for baseline factors, treatment (WW, R, R-Chemo, or other) benefit varied for each age group in terms of PFS (P=.02), with treatment outcomes being most differentiated among younger pts (Table). PFS appeared shorter in elderly pts regardless of the treatment received. No significant interaction between age and efficacy of anthracycline in terms of PFS or OS was observed (P-values >.65), but the overall effect of anthracycline for all pts was beneficial for PFS (HR=0.80, P=.02) and OS (HR=0.67, P=.003). Median OS was 8 years for elderly and not reached for others. After adjusting for baseline factors, no significant differences in treatment impact by age on OS were seen. Elevated LDH, reduced Hgb, stage III/IV, PS ≥1, and BM involvement were all significantly associated with shortened OS. These factors were also significantly associated with treatment choice, as worse-prognosis elderly pts were more likely to receive either R or R+chemo than WW or other treatment. Conclusions: FL pts >70 yrs more commonly received R alone and less commonly received anthracyclines when treated with chemotherapy. The impact of anthracyclines on PFS did not vary by age, but differences in PFS for other treatment regimens showed a stronger association among younger pts Disclosures: Nabhan: Genentech: Research Funding, Speakers Bureau. Byrtek:Genentech, Inc., a member of the Riche Group: Employment, Equity Ownership. Dawson:Genentech, Inc., a member of the Riche Group: Employment, Equity Ownership. Link:Genentech, Inc., a member of the Riche Group: Consultancy; Celgene: Consultancy; Spectrum: Consultancy. Friedberg:Genentech: Consultancy. Cerhan:Genentech: National LymphoCare Scientific Advisory Board Other. Flowers:Celgene: Consultancy; Prescription Solutions: Consultancy; Seattle Genetics: Consultancy; Millennium: Consultancy, Research Funding; Genentech: Consultancy; GIlead: Research Funding; Spectrum: Research Funding; Janssen: Research Funding; Lymphoma Research Foundation: Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 3702 Background: Both drug choice and delivered dose of intended treatment potentially influence outcome in patients treated for follicular lymphoma (FL). Historically, observational studies have solely evaluated drug choice. The National LymphoCare Study (NLCS) is a prospective, observational study that enrolled >2700 patients with FL in the United States between 2004 and 2007. We report on measures of delivered dose and its impact on outcomes for the most common first-line regimens. Methods: All evaluable patients treated with R-CHOP, R-CVP, or R-fludarabine (R-Flu)–containing regimens in the NLCS were included, except those with FL plus other lymphoma histology, non-FL histology, or those who progressed before first treatment or before being assigned to watchful waiting. Associations between baseline factors and choice of treatment (R-CHOP, R-CVP, or R- Flu–containing regimen), number of cycles received (≤4, 5–6, 7+), and completion of therapy were assessed using the Pearson chi-square test. Factors associated with risk of early discontinuation were assessed using logistic regression, and a generalized logits model was used to assess the relationship between baseline factors and number of cycles received. Kaplan-Meier methods and the log-rank test were used to estimate progression-free survival (PFS), overall survival (OS), and time to next treatment. Results: Among 1165 evaluable patients, a total of 648 received R-CHOP, 296 received R-CVP, and 221 received R-Flu combinations. Patient characteristics were similar between groups with the following exceptions: patients receiving R-CHOP were more likely to have grade 3 FL (38% vs 11% for R-CVP and 13% for R-Flu), and patients receiving R-CVP were older (25% ≥75 vs 8% for R-CHOP and 13% for R-Flu) and had higher Follicular Lymphoma International Prognostic Index (FLIPI) risk scores (50% poor FLIPI vs 41% for R-CHOP and 36% for R-Flu). The distribution of delivered cycles demonstrated a high degree of compliance with published regimens, with most patients receiving ≥5 cycles of treatment (R-CHOP 86%, R-CVP 81%, R- Flu 67%, P<.0001). The median cycle length was 21 days for both R-CHOP and R-CVP, and 29 days for the R-Flu regimens. Cycle intensity, defined as the expected cycle length (21 days for R-CHOP and R-CVP, and 28 days for R-Flu) divided by the actual cycle length, was between 0.9 and 1.1 for 68% of R-CHOP patients, 75% of R-CVP patients, and 45% of R-Flu patients. The percentage of patients with longer-than-expected time between cycles (cycle intensity <0.9) was similar for the 3 treatment groups; however, R-Flu patients were more likely to have shorter-than-expected time between cycles (24% vs 4% for R-CHOP and 3% for R-CVP). We sought to understand the reasons for patients receiving ≤4 cycles. Most patients who received ≤4 cycles were considered to have completed the intended duration of therapy (58% for R-CHOP, 62% R-CVP, and 75% R-Flu); rates of early discontinuation from the intended treatment were significantly less for patients receiving ≥5 cycles. Early discontinuation was associated with age ≥75 years and treatment with R-Flu (particularly in patients with grade 1–2 FL). Toxicity was the most commonly cited reason for early discontinuation (47% for R-CHOP, 46% for R-CVP, and 71% for R-Flu). The higher rate of R-Flu discontinuation due to toxicity is consistent with findings from other studies. Disease progression was rarely cited as the reason for early discontinuation. Time to retreatment was significantly shorter for patients receiving ≤4 cycles for patients receiving R-CHOP and R-CVP compared with patients receiving 5–6 cycles and 7+ cycles (P=.002 and P<.001 respectively; medians not yet reached). Delivery of ≤4 treatment cycles was associated with lower response rates (76% CR/PR vs 90% for 5–6 cycles and 92% for 7+ cycles) and worse PFS and OS, among patients who received R-CVP (all P<.01) but not among other regimens. Conclusions: Most patients with FL receiving chemoimmunotherapy in the NLCS completed ≥5 cycles of treatment. Most who received fewer cycles were considered to have completed therapy, and therapy commonly was given at or above the expected cycle intensity. Strategies to improve dose delivery appear unlikely to impact patient outcomes, except possibly in patients receiving R-CVP. Disclosures: Martin: Genentech: Speakers Bureau. Link:Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees. Byrtek:Genentech: Employment. Dawson:Genentech, A Member of the Roche Group: Employment. Friedberg:Genentech: Membership on an entity's Board of Directors or advisory committees. Cerhan:Genentech: Membership on an entity's Board of Directors or advisory committees. Flowers:Genentech: Membership on an entity's Board of Directors or advisory committees.

AbstractThe investigators present results on the long-term value and limitations of early interim positron emission tomography (PET) scanning in advanced Hodgkin lymphoma.

PURPOSE Alliance/CALGB 50303 (NCT00118209), an intergroup, phase III study, compared dose-adjusted etoposide, prednisone, vincristine, cyclophosphamide, doxorubicin, and rituximab (DA-EPOCH-R) with standard rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) as frontline therapy for diffuse large B-cell lymphoma. PATIENTS AND METHODS Patients received six cycles of DA-EPOCH-R or R-CHOP. The primary objective was progression-free survival (PFS); secondary clinical objectives included response rate, overall survival (OS), and safety. RESULTS Between 2005 and 2013, 524 patients were registered; 491 eligible patients were included in the final analysis. Most patients (74%) had stage III or IV disease; International Prognostic Index (IPI) risk groups included 26% IPI 0 to 1, 37% IPI 2, 25% IPI 3, and 12% IPI 4 to 5. At a median follow-up of 5 years, PFS was not statistically different between the arms (hazard ratio, 0.93; 95% CI, 0.68 to 1.27; P = .65), with a 2-year PFS rate of 78.9% (95% CI, 73.8% to 84.2%) for DA-EPOCH-R and 75.5% (95% CI, 70.2% to 81.1%) for R-CHOP. OS was not different (hazard ratio, 1.09; 95% CI, 0.75 to 1.59; P = .64), with a 2-year OS rate of 86.5% (95% CI, 82.3% to 91%) for DA-EPOCH-R and 85.7% (95% CI, 81.4% to 90.2%) for R-CHOP. Grade 3 and 4 adverse events were more common ( P < .001) in the DA-EPOCH-R arm than the R-CHOP arm, including infection (16.9% v 10.7%, respectively), febrile neutropenia (35.0% v 17.7%, respectively), mucositis (8.4% v 2.1%, respectively), and neuropathy (18.6% v 3.3%, respectively). Five treatment-related deaths (2.1%) occurred in each arm. CONCLUSION In the 50303 study population, the more intensive, infusional DA-EPOCH-R was more toxic and did not improve PFS or OS compared with R-CHOP. The more favorable results with R-CHOP compared with historical controls suggest a potential patient selection bias and may preclude generalizability of results to specific risk subgroups.