Abstract: Background: Prognosis of follicular lymphoma (FL) has long been defined by the FLIPI score (Solal-Céligny et al., 2004) which is a 5 factor risk model consisting of age, stage, lactate dehydrogenase, hemoglobin and number of nodal areas. The FLIPI model has been validated at diagnosis in both the pre- and post-Rituximab eras. However, many patients are initially observed and have prolonged lead time from diagnosis to first treatment. In this study, we investigated whether FLIPI risk group at diagnosis changed by the time of initial treatment, and whether change of FLIPI risk group impacted treated outcome. Patients and Methods: All adult (≥18 yo) patients with de novo follicular lymphoma (FL) treated at our center between 1998 and 2007 were evaluated. Study excluded patients with ≤2 follow up visits, known divergent of composite histology at diagnosis, and active concurrent malignancies. FLIPI was scored at diagnosis and at initiation of first treatment. For patients with missing FLIPI data, FLIPI category was scored if the omission did not alter the FLIPI category. Stable FLIPI risk group was defined as FLIPI score being low or intermediate at diagnosis and at initiation of first treatment (Low-Low, Int-Int). Progressed FLIPI risk group was defined by the population which changed categories from low or intermediate at diagnosis to a higher category at initiation of treatment (Low-Int, Low-High, Int-High). FLIPI scores were available for 570 patients at both diagnosis and initial treatment. Overall survival (OS) and progression free survival (PFS) were evaluated by Kaplan-Meier method and compared by log-rank tests. Time of diagnosis was used as time origin for OS analyses. When OS analyses involved FLIPI score at the first treatment, time of the first treatment was used as the entry time to adjust the risk sets to account for the fact that FLIPI at first treatment is unknown before the onset of the first treatment. Chi-squared tests and Fisher's exact tests were used to compare categorical variables by FLIPI score change status. Progression free survival before and after 24 months (PFS24) of initial therapy were calculated. Results: For 898 FL patients, median follow up was 9.2 years (range 0.23 - 16.84), median OS not reached. Based on FLIPI at diagnosis, the 5 year OS is 97.2% for low risk, 93.0% for int risk, and 80.2% for high risk, 10 yr OS is 90.9% for low risk, 77.7% for int risk, and 67.6% for high risk. Of 570 patients with FLIPI at diagnosis and first treatment, median time to first treatment was 0.18 years (range 0-12.5) for patients with stable FLIPI (N=280) and 2.70 years (range 0.01-13.33) for patients with progressed FLIPI (N=83). For patients observed ≥ 6 and 12 months, the median time to first treatment was 1.21 years (N=47, range 0.51-12.5) and 2.49 years (N=29, range 1.0-12.5) for patients with stable FLIPI and 3.77 years (N=62, range 0.54-13.3) and 3.92 years (N=57, range 1.13-13.3) for patients with progressed FLIPI, respectively. Progressed FLIPI was observed in 14.6% (83/570) of patients. The incidence of progressed FLIPI was 51.4% (57/111) in patients observed ≥1 year before initiating therapy. Parameters contributing to progressed FLIPI compared to stable FLIPI were decreased hemoglobin (29% versus 6%), increased nodal areas affected (43% versus 2%) and higher LDH (37% versus 5%). Patients with stable FLIPI had longer PFS at 12 and 24 months, 88.6% versus 73.8% (P=0.006) and 79.3% versus 66.1% (P= 0.031) (Figure 1). Analysis of patients initially observed ≥ 6 or 12 months demonstrated that progressed FLIPI negatively affected OS and PFS (Figure 2, observed ≥ 12 month data not shown). Median PFS for patients observed ≥ 6 months was 8.36 years for stable FLIPI, 3.14 years for progressed FLIPI. At observation of ≥ 12 months, median PFS was 6.25 and 3.22 years for stable and progressed FLIPI, respectively. Increased FLIPI was associated with increased risk of transformation throughout the disease course (25% vs 16%, P=0.039). Conclusion: Progressed FLIPI between diagnosis and first line treatment is associated with a reduced PFS, and increased incidence of histologic transformation. In patients who are initially observed, a progressed FLIPI reduces OS and PFS. The effect on PFS may be related to treatment bias and ongoing analysis is underway. Progressed FLIPI potentially identifies a population with heightened risk of transformation. Disclosures Hamlin: Seattle Genetics: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees; Portola: Research Funding; Novartis: Research Funding; Molecular Templates: Research Funding; Xencor: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Horwitz:Seattle Genetics: Consultancy, Research Funding; Celgene: Consultancy; Huya: Consultancy; Infinity: Consultancy, Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; ADCT Therapeutics: Research Funding; Spectrum: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy. Kumar:Celgene: Honoraria, Other: Scientific Advisory Board; Pharmacyclics: Research Funding; Seattle Genetics: Research Funding; Adaptive Biotechnologies: Research Funding; Celgene: Research Funding. Moskowitz:Bristol Myers Squibb: Honoraria; Merck: Honoraria; Seattle Genetics: Honoraria, Research Funding. Moskowitz:Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Palomba:Pharmacyclics: Consultancy. Zelenetz:Gilead Sciences: Research Funding.

Abstract: BACKGROUND: Treatment may be safely deferred in asymptomatic patients with advanced stage, low tumor burden follicular lymphoma (FL) until onset of symptoms or organ failure without compromising overall survival (OS). A randomized trial comparing immediate rituximab vs. observation in this setting reported a Time to New Treatment benefit without a corresponding OS benefit (Ardeshna et al, Lancet Oncol 2014). This is a comparison of Time to 1st Treatment (TT1T, observation arm) vs. Time to 2nd Treatment (TT2T, rituximab arm) and thus biased to immediate intervention. TT2T might be a less biased primary endpoint for trials evaluating immediate intervention vs. observation. Time to Treatment n (TT(n)T) is a function of cumulative time spent from diagnosis in periods of observation, treatment, and remission, and TT(n)T approaches OS as n approaches the maximum number of therapies received, thus we also hypothesize that TT2T might be a surrogate for OS. We have therefore performed a comprehensive evaluation of standard endpoints (TT1T, OS, and EFS12), described TT2T as a novel endpoint for trials evaluating intervention vs. observation in asymptomatic patients with advanced stage, low tumor burden FL, and aimed to determine if TT2T is a reliable surrogate for OS. METHODS: We identified 246 consecutive patients at our institution, diagnosed from 1998 to 2007 with advanced stage, low tumor burden follicular lymphoma grade 1-3A, for whom physician intention at diagnosis was observation. Median time to event was calculated using the Kaplan-Meier method for each event: TT1T, TT2T, and OS. Modified Kendall's tau was used to assess the correlation between TT1T, TT2T, and OS, accounting for censoring in these quantities. Tests of modified Kendall's tau against 0 (i.e. no correlation) were performed. EFS12 was defined as non-death event within 12 months of initiation of first treatment, and median OS for EFS12 analysis was calculated from end of first treatment. Of 69 patients who received chemoimmunotherapy as first therapy following initial observation, the log-rank test was used to compare survival distributions by EFS12. RESULTS: Of 246 patients with advanced stage, follicular lymphoma grade 1-3A for whom physician intention at diagnosis was observation, there was a slight female predominance (1.16:1), 34.6% were above age 60 with a median age of 56.1 years (range 25-88), and 11.8% (29/246) developed histologic transformation prior to 1st/2nd therapy, including 7.7% (19/246) prior to 1st treatment. At a median follow-up of 10.9 years: median TT1T was 43.5 months (3.5-217.4+, 179 events), median TT2T was 151.8 months (range 5.2-219.6+, 101 events), and median OS was not reached (range 5.2-219.6+, 48 events). The modified Kendall's tau measuring correlation between TT1T and OS was 0.012 (p = 0.537), and was 0.078 (p 〈 0.001) between TT2T and OS, suggesting that TT2T is strongly correlated with OS while TT1T is not. Failure to achieve EFS12 was observed in 10.3% (7/68) and associated with inferior OS (p=0.001). Of 7 patients who failed to achieve EFS12, 3 had histologic transformation. CONCLUSIONS: TT2T is a preferred primary endpoint for clinical trials evaluating intervention vs. observation. In patients with advanced stage, low tumor burden FL who are initially observed, the median time from diagnosis to 2nd treatment is 12.7 years. Future trials evaluating the role of immediate therapy in low tumor burden FL might restrict eligibility to high risk patients expected to have inferior TT2T. Efforts are ongoing to develop biomarkers (e.g. m7-FLIPI) that identify a population enriched with high risk patients. Our data also suggest that TT2T might be a better surrogate for OS than TT1T, and analyses are ongoing to validate this finding. Figure 1 Figure 1. Disclosures Hamlin: Molecular Templates: Research Funding; Seattle Genetics: Research Funding; Portola: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees; Novartis: Research Funding; Xencor: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Horwitz:Spectrum: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy; Huya: Consultancy; Infinity: Consultancy, Research Funding; Kyowa Hakka Kirin: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Celgene: Consultancy; ADCT Therapeutics: Research Funding. Palomba:Pharmacyclics: Consultancy. Moskowitz:Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding. Noy:Pharmacyclics, LLC, an AbbVie Company: Other: travel, accommodations, expenses, Research Funding. Kumar:Celgene: Research Funding; Pharmacyclics: Research Funding; Adaptive Biotechnologies: Research Funding; Seattle Genetics: Research Funding; Celgene: Honoraria, Other: Scientific Advisory Board. Zelenetz:Amgen: Consultancy; Takeda Pharma: Consultancy; Novartis: Consultancy; Nanostring Tech: Consultancy; Portola Pharmaceuticals: Consultancy; Adaptive Biotechnology: Consultancy; Bristol Myers: Research Funding; Boehringer Ingelheim: Other: DMC Membership; Janssen: Consultancy, Research Funding; Hospira: Consultancy; Celgene: Consultancy; Gilead: Consultancy, Research Funding; GSK: Consultancy, Research Funding; Genentech/Roche: Consultancy, Research Funding.

Abstract: Background/methods: Identifying relapsed or refractory (RR) classical Hodgkin lymphoma (cHL) patients (pts) eligible for lower-intensity second-line therapy (SLT) will aid in improving short-term and long-term treatment-related toxicity. We conducted a phase II study evaluating PET-adapted SLT with single-agent brentuximab vedotin (BV) followed by augICE (augmented ifosfamide, carboplatin, etoposide) for BV-naïve patients with RR cHL (Lancet Oncology 2015). In this study, patients who failed 1 line of therapy for cHL were treated with 2 or 3 cycles of BV, 1.2mg/Kg, administered weekly, 3 weeks on and 1 week off. Those who achieved PET-normalization proceeded directly to consolidation with autologous stem cell transplantation (ASCT). Those with persistent abnormalities on PET received 2 cycles of augICE prior to consideration for ASCT. At 3-year follow-up, outcomes for patients who achieved PET-normalization following BV alone or BV followed by augICE were identical. Furthermore, baseline metabolic tumor volume (bMTV) predicted outcome and improved the prognostic significance of pre-ASCT PET (Blood 2017). We now report 6-year follow-up from this study evaluating PET-adapted SLT with BV and augICE. Results: 65 pts enrolled onto this protocol, of whom 18 achieved PET-normalization (Deauville ≤ 2) after single-agent BV. These 18 pts included 8 (44%) with primary refractory disease, 7 (39%) with advanced stage disease, and 8 (44%) with extranodal disease. 17 of the 18 pts proceeded directly to ASCT and 1 pt experienced delay resulting in disease progression. That individual achieved PET-normalization following additional salvage chemotherapy (gemcitabine/vinorelbine/liposomal doxorubicin) and proceeded to ASCT. Of the other 47 pts who remained PET-positive after single-agent BV, 35 achieved PET-normalization after augICE, 9 remained PET-positive after augICE, 2 received no additional treatment before proceeding to ASCT (1 pt with Deauville 3 response to BV, 1 with Deauville 4 response), and 1 pt withdrew consent and was lost to follow-up. 64 of 65 pts proceeded to transplant and median post-ASCT follow-up is 5.98 yrs (range 4.4-7.2 yrs). 6-yr overall survival is 86%, 6-yr progression free survival (PFS) is 73%, and 6-yr time to tumor progression (TTP) is 78%. Overall, there have been 8 deaths, which were due to disease progression (n=5), progressive multifocal leukencephalopathy (PML) (n=1), treatment-related respiratory failure (n=1), and myelodysplastic syndrome (MDS) (n=1). Pts who proceeded to ASCT following single-agent BV achieved durable remission with 6-year TTP of 80%. Outcomes for the BV-only group were similar to those who required BV and augICE to become PET-negative (6-yr TTP 82%) and were more favorable than for those who remained PET-positive after BV and augICE (6-yr TTP 56%, p=0.058) (Figure 1). With 6-yr follow-up, bMTV & gt; 109.5 cm3remained prognostic for the entire group and aided in predicting which pts ultimately developed disease progression. In particular, among the pts who achieved PET-normalization with BV alone prior to ASCT, 6-yr TTP was 92% vs 40% for low and high bMTV respectively, p=0.017 (Figure 2). Similarly, for pts who achieved PET-normalization following BV and augICE, 6-yr TTP was 85% vs 33% for low and high bMTV respectively, p=0.002. Conclusions: For pts with RR cHL, long-term remission can be achieved following lower-intensity SLT with single-agent BV followed by ASCT, provided PET-normalization is achieved after single-agent BV. bMTV identifies which pts within this favorable group are likely to develop disease progression and therefore treatment strategies using bMTV to direct intensity of therapy should be explored. Disclosures Moskowitz: Erytech Pharma: Consultancy; Incyte: Research Funding; Cell Medica: Consultancy; Incyte: Research Funding; ADC Therapeutics: Consultancy; Cell Medica: Consultancy; Takeda Pharmaceuticals: Consultancy; miRagen Therapeutics Inc: Consultancy, Research Funding; ADC Therapeutics: Consultancy; Merck: Research Funding; Takeda Pharmaceuticals: Consultancy; Takeda Pharmaceuticals: Consultancy; Erytech Pharma: Consultancy; Merck: Research Funding; Cell Medica: Consultancy; Cell Medica: Consultancy; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Takeda Pharmaceuticals: Consultancy; Merck: Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Incyte: Research Funding; Takeda Pharmaceuticals: Consultancy; Takeda Pharmaceuticals: Consultancy; Merck: Research Funding; Takeda Pharmaceuticals: Consultancy; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Cell Medica: Consultancy; Seattle Genetics: Consultancy, Honoraria, Research Funding; Merck: Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Cell Medica: Consultancy; Seattle Genetics: Consultancy, Honoraria, Research Funding; Incyte: Research Funding; Cell Medica: Consultancy; Seattle Genetics: Consultancy, Honoraria, Research Funding; Takeda Pharmaceuticals: Consultancy; Merck: Research Funding; Erytech Pharma: Consultancy; Incyte: Research Funding; Incyte: Research Funding; Incyte: Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Erytech Pharma: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Takeda Pharmaceuticals: Consultancy; miRagen Therapeutics Inc: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Incyte: Research Funding; Merck: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Erytech Pharma: Consultancy; Erytech Pharma: Consultancy; Incyte: Research Funding; Takeda Pharmaceuticals: Consultancy; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Incyte: Research Funding; Erytech Pharma: Consultancy; Merck: Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Merck: Research Funding; ADC Therapeutics: Consultancy; Erytech Pharma: Consultancy; Cell Medica: Consultancy; Seattle Genetics: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; ADC Therapeutics: Consultancy; Merck: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Merck: Research Funding; Cell Medica: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Cell Medica: Consultancy; Takeda Pharmaceuticals: Consultancy; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Takeda Pharmaceuticals: Consultancy; Merck: Research Funding; Merck: Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Takeda Pharmaceuticals: Consultancy; Erytech Pharma: Consultancy; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Cell Medica: Consultancy; ADC Therapeutics: Consultancy; Erytech Pharma: Consultancy; Seattle Genetics: Consultancy, Honoraria, Research Funding; Erytech Pharma: Consultancy; Takeda Pharmaceuticals: Consultancy; Seattle Genetics: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; ADC Therapeutics: Consultancy; ADC Therapeutics: Consultancy; ADC Therapeutics: Consultancy; miRagen Therapeutics Inc: Consultancy, Research Funding; ADC Therapeutics: Consultancy; Erytech Pharma: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; ADC Therapeutics: Consultancy; Cell Medica: Consultancy; Erytech Pharma: Consultancy; miRagen Therapeutics Inc: Consultancy, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Erytech Pharma: Consultancy; Incyte: Research Funding; Cell Medica: Consultancy; Incyte: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; Incyte: Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; ADC Therapeutics: Consultancy; ADC Therapeutics: Consultancy; ADC Therapeutics: Consultancy; Incyte: Research Funding; ADC Therapeutics: Consultancy; Takeda Pharmaceuticals: Consultancy; Erytech Pharma: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Incyte: Research Funding; Cell Medica: Consultancy; Merck: Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Cell Medica: Consultancy; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding; Merck: Research Funding; Kyowa Hakko Kirin Pharma: Consultancy, Research Funding; miRagen Therapeutics Inc: Consultancy, Research Funding; ADC Therapeutics: Consultancy. Horwitz:Seattle Genetics: Consultancy, Research Funding; Forty-Seven: Research Funding; Trillium: Research Funding; Miragen: Consultancy; Portola: Consultancy; Infinity/Verastem: Consultancy, Research Funding; Affimed: Consultancy; Innate Pharma: Consultancy; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Innate Pharma: Consultancy; Trillium: Research Funding; Portola: Consultancy; Aileron: Research Funding; Mundipharma: Consultancy; Seattle Genetics: Consultancy, Research Funding; Millennium/Takeda: Consultancy, Research Funding; Infinity/Verastem: Consultancy, Research Funding; Affimed: Consultancy; Mundipharma: Consultancy; Aileron: Research Funding; Forty-Seven: Research Funding; ADCT Therapeutics: Research Funding; Miragen: Consultancy; ADCT Therapeutics: Research Funding; Kyowa Hakko Kirin: Consultancy; ADCT Therapeutics: Research Funding; Astex: Consultancy; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Kyowa Hakko Kirin: Consultancy; Astex: Consultancy; Affimed: Consultancy; Millennium/Takeda: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Miragen: Consultancy; Kyowa Hakko Kirin: Consultancy; Miragen: Consultancy; Mundipharma: Consultancy; Aileron: Research Funding; ADCT Therapeutics: Research Funding; Mundipharma: Consultancy; Millennium/Takeda: Consultancy, Research Funding; Astex: Consultancy; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Corvus Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Innate Pharma: Consultancy; Celgene: Consultancy, Research Funding; Forty-Seven: Research Funding; Astex: Consultancy; Portola: Consultancy; Seattle Genetics: Consultancy, Research Funding; Kura: Consultancy; Aileron: Research Funding; Kyowa Hakko Kirin: Consultancy; Millennium/Takeda: Consultancy, Research Funding; Trillium: Research Funding; Innate Pharma: Consultancy; Trillium: Research Funding; Kura: Consultancy; Infinity/Verastem: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Forty-Seven: Research Funding; Portola: Consultancy; Kura: Consultancy; Affimed: Consultancy; Kura: Consultancy; Celgene: Consultancy, Research Funding; Infinity/Verastem: Consultancy, Research Funding. Kumar:Seattle Genetics: Research Funding. Matasar:Genentech, Inc.: Consultancy, Honoraria, Other: Travel, accommodation, expenses , Research Funding; Bayer: Consultancy, Honoraria, Other; Roche: Consultancy, Honoraria, Other: Travel, accommodation, expenses , Research Funding; Merck: Consultancy, Equity Ownership; Juno Therapeutics: Consultancy; Teva: Consultancy; Rocket Medical: Consultancy, Research Funding; Seattle Genetics: Consultancy, Honoraria, Other: Travel, accomodation, expenses, Research Funding; Daiichi Sankyo: Consultancy; GlaxoSmithKline: Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Bayer: Other: Travel, accommodation, expenses. Noy:Medscape: Honoraria; Prime Oncology: Honoraria; NIH: Research Funding; Janssen: Consultancy; Pharamcyclics: Research Funding; Raphael Pharma: Research Funding. Palomba:Hemedicus: Other: Immediate Family Member, Speakers Bureau ; Merck & Co Inc.: Other: Immediate Family Member, Consultancy (includes expert testimony); Seres Therapeutics: Other: Immediate Family Member, Equity Ownership and Membership on an entity's Board of Directors or advisory committees; STRAXIMM: Other: Immediate Family Member, Membership on an entity's Board of Directors or advisory committees; Kite Pharmaceuticals: Other: Immediate Family Member, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Noble Insights: Consultancy; Evelo: Other: Immediate family member, Equity Ownership; MSK (IP for Juno and Seres): Other: Immediate Family Member, Patents & Royalties - describe: intellectual property rights . Shah:Amgen: Research Funding; Janssen: Research Funding. Perales:Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Meyers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bellicum: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Omeros: Honoraria, Membership on an entity's Board of Directors or advisory committees; Nektar Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; MolMed: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Merck: Consultancy, Honoraria; Kyte/Gilead: Research Funding; Servier: Membership on an entity's Board of Directors or advisory committees; Medigene: Membership on an entity's Board of Directors or advisory committees; Miltenyi: Research Funding; NexImmune: Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Sauter:Juno Therapeutics: Consultancy, Research Funding; Sanofi-Genzyme: Consultancy, Research Funding; Spectrum Pharmaceuticals: Consultancy; Novartis: Consultancy; Genmab: Consultancy; Precision Biosciences: Consultancy; Kite/Gilead: Consultancy; Celgene: Consultancy; GSK: Consultancy. Straus:Elsevier (PracticeUpdate): Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Hope Funds for Cancer Research: Membership on an entity's Board of Directors or advisory committees. Younes:BMS: Research Funding; Syndax: Research Funding; Genentech: Research Funding; Roche: Consultancy, Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Curis: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Abbvie: Honoraria; Biopath: Consultancy; Xynomics: Consultancy; Epizyme: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; HCM: Consultancy; Takeda: Honoraria; Pharmacyclics: Research Funding; AstraZeneca: Research Funding. Zelenetz:MEI Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech/Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Morphosys: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics/AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Verastem: Consultancy, Membership on an entity's Board of Directors or advisory committees; Beigene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics/AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; DAVA Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Beigene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Verastem: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Morphosys: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; DAVA Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech/Roche: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees. Moskowitz:Merck: Consultancy, Research Funding; ADC Therapeutics: Research Funding; Seattle Genetics, Inc.: Consultancy, Research Funding; Celgene: Consultancy; Pharmacyclics: Research Funding; Genentech: Consultancy, Research Funding. OffLabel Disclosure: Brentuximab vedotin is not FDA approved for use in the second-line setting for Hodgkin lymphoma.

Abstract: Baseline metabolic tumor volume and the presence of refractory disease predict outcome for patients with relapsed/refractory HL. Metabolic tumor volume improves the predictive power of pretransplantation PET in relapsed/refractory HL.

Abstract: Background: Several retrospective series have characterized the genomic landscape in many lymphoma subtypes. However, as these studies used different sequencing methods, depth of coverage, and specimen source, the incidence of alterations in many lymphoma subtypes remain unknown. Even when common genomic alterations were identified within a lymphoma subtype, the incidence and spectrum of the alterations varied. In this study, we prospectively examined the incidence of genomic alterations across different lymphoma subtypes using the Foundation One Heme (FOH) assay. Methods: FOH testing was offered to patients in routine clinical practice. Formalin-fixed paraffin-embedded (FFPE) tissue, bone marrow aspirate or peripheral blood were examined using the FOH targeted sequencing assay. Hybridization capture from 405 cancer related genes and 31 genes commonly rearranged in cancer was applied to ≥ 50ng of DNA extracted from 49 tumor specimens and sequenced to high, uniform coverage. Genomic alterations, which include: base substitutions, small insertions and deletions (indels), rearrangements, and copy number alterations, were determined. Results: Specimens from 48 non-consecutive patients with lymphoma (5 new diagnoses, 42 relapsed) were prospectively examined. Represented subtypes include DLBCL (44%), FL (17%), CLL (10%), MCL (10%), MZL (8%), T cell lymphoma (4%), and Hodgkin lymphoma (2%). Median age of diagnosis was 48.1 years (range 29.5-80.6) with a male predominance (69%). The majority (75%) had advanced stage disease at diagnosis, with a median of 3 lines of therapy (range 1-12, n=44). Forty-nine specimens, (1 patient with 2 specimens) were collected from FFPE (70%), peripheral blood (22%) or bone marrow aspirate (8%). Reports resulted after a median 28 days (range 10-48 days) from the time specimens were shipped to Foundation Medicine. Across 48 patients, 90 distinct alterations were detected with a median of 5 alterations/patient (range 0-11). Genomic alterations were more commonly observed in relapsed aggressive lymphoma compared to relapsed indolent lymphoma (median 6.4 vs 4 alterations/patient, p 〈 0.05) or in newly diagnosed patients. The most common alteration was various IgH translocations (46%) and alterations in cyclin dependent kinases (CDK) genes (CDKN2A, CDKN2B and CDKN2C) (31%). Alterations of p53 (23%) and MLL2 (21%) were also frequently observed. Several rare alterations not previously described in primary lymphomas were identified, including alterations in ATRX, CDH1, MSH6, pyruvate carboxylase, and thrombospondin receptor (CD36). Alterations associated with approved agents or clinical trials were found in 89% of patients and were more frequent in relapsed aggressive B-cell NHL (median 2/patient) versus relapsed indolent B-cell NHL (median 1/patient, p 〈 0.02). Commonly identified actionable alterations included CDK alterations in DLBCL, MCL and CLL, and alterations in the PI3K oncogenic pathway in DLBCL, FL and MZL. Conclusion: Application of a comprehensive next generation genomic sequencing assay provides an opportunity to both describe the spectrum and compare the incidence of genetic alterations across different lymphoma subtypes. Preliminary data suggest the vast majority of patients have one or more genomic alterations linked to approved agents or clinical trials. Data collection is ongoing. While the true incidence of each genomic alteration is not defined, the dataset provides the frequency of genomic alterations in a clinically relevant population. Moreover, these data will facilitate design of clinical trials by providing the opportunity to select patients based on shared genomic alterations rather than lymphoma subtype. Table 1.Clinical characteristics, N=48Age at diagnosis57.1 (29.5-80.6)N (% of patients)Sex Male Female33 (68.7%)16 (33.3%)Subtype DLBCL21 (43.8%)FL8 (16.7%)CLL5 (10.4%)MCL5 (10.4%)MZL4 (8.3%)T cell lymphoma2 (4.2%)Hodgkin lymphoma1 (2.1%)Other3 (6.3%)Stage at Diagnosis I/II III/IV Not recorded10 (20.8%)36 (75.0%)2 (4.2%)Biopsy sent At diagnosis At relapse6 (12.5%)42 (87.5%)Response to First line Therapy Near CR or CR PR SD PD Unknown22 (45.8%)9 (18.8%)5 (10.4%)3 (8.3%)8 (16.7%)Genomic Alterations with clinical value Potentially Prognostic Potentially Actionable Alterations previously not well described37 (77.0%)43 (89.6%)7 (14.6%) Figure 1 Figure 1. Disclosures Moskowitz: Seattle Genetics, Inc.: Consultancy, Research Funding; Genentech: Research Funding; Merck: Research Funding. Horwitz:Celgene: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; Infinity: Research Funding; Kiowa]Kirin: Research Funding; Seattle Genetics: Consultancy, Research Funding; Spectrum: Research Funding; Amgen: Consultancy; Bristol] Myers Squibb,: Consultancy; Jannsen: Consultancy. Hamlin:Gilead, Spectrum, Seattle Genetics, Genentech: Consultancy; Spectrum, GSK, Jansen and Jansen/Pharmacyclics, Portola, Seattle Genetics: Research Funding. Matasar:Genentech: Consultancy; Spectrum: Consultancy. Miller:Foundation Medicine: Employment. Stephens:Foundation Medicine: Employment, Equity Ownership. He:Foundation Medicine: Employment. Younes:Novartis: Research Funding; J & J: Research Funding; Curis: Research Funding; Bayer; Bristol Meyer Squibb; Celgene; Incyte; Janssen R & D; Sanofi; Seattle Genetics; Takeda Millenium: Honoraria.

Abstract: Background: Peripheral T-cell lymphomas (PTCL) are an uncommon heterogenous subset of non-Hodgkin lymphomas for which allogeneic hematopoietic stem cell transplantation (HSCT) is often recommended in the relapsed/refractory setting. Methods: We analyzed overall (OS) and progression-free survival (PFS) in all adults with PTCL who were transplanted 3/2001-12/2014. Results: Patient characteristics are shown in the Table. 65 patients (pts) identified (median age 50.3 years, range 18-70) had a median number of prior treatment regimens of 3 (range 1-8), 42 (65%) were in complete remission (CR) at HSCT (24 in 1st and 18 in 〉 1st) and 15 in partial remission (PR), 10 (15%) pts had a prior autologous transplant, and the median hematopoietic cell transplant comorbidity index (HCT-CI) score was 2 (range 0-8). Conditioning was myeloablative (MA) in 23, reduced intensity (RIC) in 22, and non-myeloablative (NMA) in 20 pts. Grafts were matched sibling (n=33), mismatched sibling (n=1) matched unrelated donor (MUD) (n=16), mismatched unrelated donor (n=7) or cord blood (n=8). The median day to neutrophil engraftment was 12 (range 9-29), 12 (range 11-23), and 10 (range 8-21) for MA, RIC and NMA respectively. Seventeen (26%) pts had grade II-IV day +100 acute graft-versus-host disease (GvHD) (7 grade II, 7 grade III, 3 grade IV). Eighteen pts (28%) had chronic GvHD. Twenty-one pts have relapsed to date at a median of 3.25 months (range 1.81-71.79). With a median follow-up period for survivors of 41.7 months (range, 6.4-163 months), the OS and PFS rate were 59% and 48% at 2 years (Figure 1). All deaths occurred within 36 months of HSCT. Of 27 pts who have died, 14 died of lymphoma and 13died of HSCT complications. The rate of transplant related mortality (TRM) at 1 year was 17% (95%CI: 7.7-26.1). Causes of death included graft failure (n=1), GvHD (n=7), infection (n=1), pulmonary complications (n=2), cardiac arrhythmia (n=1) and veno-occlusive disease (n=1). There were no differences in TRM according to recipient age, HCT-CI, Karnofsky performance status (KPS), number of prior regimens, prior radiation, receipt of a prior autologous transplant, disease status prior to HSCT or conditioning intensity (all p-values NS). PFS was not affected by disease status prior to HSCT. Degree of HLA-match was significantly associated with TRM (p 〈 0.0001). For pts who underwent matched unrelated, matched related or mismatched donor HSCT, cumulative mortality at 6 months was 6%, 9% and 44%, respectively (Figure 2). Seven of 21 pts who relapsed survive to date, median of 63 months post relapse (range 12-153 months) after treatment with chemotherapy only (n = 2), donor lymphocyte infusion (DLI) (n=3), DLI + HSCT (n=1) or a 2nd HSCT (n=1). Conclusions: We present the largest single center series of HSCT in PTCL. This study suggests existence of GvL effects in patients with PTCL regardless of conditioning intensity or depth of remission at HSCT. Mismatched HSCTs were associated with higher TRM; mainly GvHD. Events were not seen beyond 36 months. This data supports the curative potential of HSCT in a patient group with otherwise poor survival. Table. Patient Characteristics DiseaseType(N) Median(range)Age Median(range)HCT-CI RemissionStatus Median (range) Prior Regimens/N prior auto RegimenIntensity 2-yr PFS(95%CI) PTCL NOS (n=15) 52 (30-67) 3 (0-7) 12 CR 3 PR 3 (1-6) 1 7 MA 4 NMA 4 RIC 45% (20%-68%) AITL (n=11) 52 (30-70) 1 (0-8) 8 CR 3 PR 3 (1-5) 5 2 MA 4 NMA 5 RIC 81% (44%-95%) ALCL (n=5) 47 (28-69) 1 (0-5) 4 CR 1 PR 3 (2-8) 2 2 MA 2 NMA 1 RIC 2 DF 24 & 89 mo; 3 TRM by 15 mo CTCL (n=10)/ SPTCL (n=4) 47.2 (21-61) 1 (0-5) 6 CR 8 PR 3 (2-8) 0 3 MA 5 NMA 6 RIC 43% (17%-66%) ATLL (n=8) 50 (34-68) 1.5 (0-6) 5 CR 3 PR 1 (1-6) 0 2 MA 3 NMA 3 RIC 37% (8%-67%) HSTCL (n=7) 28 (18-64) 1 (0-4) 4 CR 2 PR 1 S 1 (1-4) 1 4 MA 1 NMA 2 RIC 38% (6%-71%) NK (n=3) 42 (24-47) 0 (0-1) 2 CR 1 PR 1 (1-2) 0 3 MA 1 DF 59 mo 1 TRM 1 Disease TPLL (n=1) 56 4 CR 1/0 RIC 1 Disease EATL (n=1) 52 5 CR 3/1 NMA DF 24 mo PTCL- peripheral T cell lymphoma (TCL); AITL- angioimmunoblastic TCL,; ALCL- anaplastic large cell lymphoma; CTCL- cutaneous TCL; ATLL- adult TCL; SPTCL- subcutaneous panniculitis TCL; HSTCL- hepatosplenic gamma delta TCL; NK- natural killer TCL; TPLL-prolymphocytic TCL; EATL- enteropathy TCL; CR - complete remission; PR - partial remission; S - stable disease; MA- myeloablative; RI- reduced intensity; NMA- non-myeloablative; mo- month; DF Disease-free Figure 1. OS and PFS Figure 1. OS and PFS Figure 2. Cumulative Incidence of HSCT Related Mortality at 6 months Figure 2. Cumulative Incidence of HSCT Related Mortality at 6 months Disclosures Perales: NMDP: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Astellas: Honoraria; Merck: Honoraria; Takeda: Honoraria.

Abstract: Background: Lymphoma is a clinically and molecularly heterogenous disease. Next generation sequencing of primary lymphoma samples has identified common recurring genomic alterations (GAs). The distribution and frequency of recurring GAs across lymphoma subtypes remains unknown because prior studies vary in sequencing methods, depth of coverage, and specimen source. In this study, we benchmark the distribution of GAs across different lymphoma subtypes by prospectively analyzing lymphoma cases and performing comprehensive DNA/RNA targeted sequencing of genes commonly found in hematologic malignancies using the Foundation One Heme (F1H) clinical assay. Methods: After obtaining proper consent, archived specimens from 183 samples [formalin fixed paraffin embedded (FFPE) N=141, peripheral blood N=28, BM aspirate N=14] distributed across lymphoma subtypes (including 62 DLBCL, 38 T cell lymphoma, 32 FL, 17 CLL, 13 MCL) were sequenced to high, uniform coverage averaging 〉 600x for DNA, 〉 20 million pairs for RNA. GAs were determined, including base substitutions, small insertions and deletions, rearrangements, and copy number alterations. Significant non-synonymous variants were identified as mutations from the COSMIC database, amplifications of established oncogenes, or homozygous deletions and/or clear loss-of-function mutations of known tumor suppressors. Fisher's exact test with Monte Carlo estimation corrected by false discovery rate was used for associations. Results: Samples from prospectively consented patients were banked for a median of 30 days prior to genomic analysis, range 1 day to 6.5 yr. Sequencing data was reported a median of 16 days from sample date receipt. GAs were identified in 95% of samples, with a median of 4 GAs/sample. The most common GAs were TP53 (29%), MLL2 (27%), BCL2 (25%), CDKN2A/B (17%) and CREBBP (14%). Alterations of chromatic modifiers (80%), BCR/NFkB components (51%), and cell cycle pathway (44%) were most common. In our group of unpaired follicular lymphoma samples (N=7 treatment naïve, N=25 treatment exposed), the number of GAs increased with treatment exposure. We found similar gene and biological signatures regardless of prior therapy; however differences emerge in genes of potential clinical relevance. Sequencing profiles augmented or altered the pathologic diagnosis in 11 of 183 (6%) of the cases. Importantly we were able to classify the GAs as actionable, potentially actionable and variants of unclear significance to better define the clinical relevance of targeted genomic sequencing. Conclusions: Integration of comprehensive next generation targeted genomic sequencing and clinical analysis in lymphoma provides an opportunity to describe the spectrum and incidence of GAs across different lymphoma subtypes and provide guidance on application of genomic profiling. This work serves to benchmark GAs across all lymphoma subtypes in a clinically relevant population and enables design of basket trials selecting patients based on shared genomic and biologic similarity instead of lymphoma subtype. To our knowledge, this is the largest repository of clinically annotated genomic sequencing in lymphoma. Table 1. Total Specimens N = 183 Median Age at Diagnosis 57 Range 21 - 84 Median Age at Biopsy 61 Range 21 - 91 Sex • Male • Female 113 70 62% 38% Biospecimen source • Paraffin embedded • Peripheral blood • Marrow aspirate 141 28 14 77% 15% 8% Patient consent • Prospective consent • Retrospective consent 145 38 79% 21% Prospectively consented patients (N=145) Median Days to Result Median Age of Sample 16 30 days 8 - 81 1 day - 6.5 yr Disclosures Palomba: Janssen: Consultancy. Gerecitano:Genentech: Consultancy, Other: Advisory Board; AbbVie: Consultancy, Other: Advisory Board. Matasar:Spectrum: Consultancy; Genentech: Consultancy. Straus:Millenium Pharmaceuticals: Research Funding. He:Foundation Medicine, Inc.: Employment, Equity Ownership. Balasubramanian:Foundation Medicine: Employment, Equity Ownership. Stephens:Foundation Medicine, Inc.: Employment, Equity Ownership. Miller:Foundation Medicine: Employment. Levine:Loxo Oncology: Membership on an entity's Board of Directors or advisory committees; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees; Foundation Medicine: Consultancy. Younes:Celgene: Honoraria; Johnson and Johnson: Research Funding; Novartis: Research Funding; Bayer: Honoraria; Bristol Meyer Squibb: Honoraria; Sanofi-Aventis: Honoraria; Seattle Genetics: Honoraria, Research Funding; Curis: Research Funding; Janssen: Honoraria; Takeda Millenium: Honoraria; Incyte: Honoraria.