Macon, William R.

Abstract Background: PTLD is the most common malignancy, other than non-melanoma skin cancer, complicating solid organ transplantation (SOT) and has been one of the most commonly observed fatal consequences in SOT. The clinical presentations, management strategies, histologies, causes of death and outcomes are diverse (Dierickx D, Habermann TM. N Engl J Med 2018;378:549-62). The 2017 WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues has redefined the categories as non-destructive PTLDs (plasmacytic hyperplasia, infectious mononucleosis, and florid follicular hyperplasia), polymorphic PTLD, monomorphic PTLD: B-cell neoplasms (diffuse large B-cell lymphoma, Burkitt lymphoma, high-grade B-cell lymphoma, plasmablastic lymphoma, plasma cell myeloma, plasmacytoma, and other) and T-cell neoplasms (peripheral T-cell lymphoma NOS, hepatosplenic T-cell lymphoma, other), and classic Hodgkin lymphoma (CHL) PTLD. We report the outcomes and long-term follow-up of patients from a single institution based on these categories whose pathology was retrospectively reviewed and reclassified based on the WHO 2017 classification. Methods: Patients with SOT who were diagnosed with PTLD at Mayo Clinic (Rochester, MN) were identified through the Mayo Clinic Lymphoma Data base and the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER). The histology was re-reviewed in 80% of the cases (RLK) and classified according to the WHO Classification of Tumours of Haematopoietic an Lymphoid Tissues 2017. Cases were considered "PTLD, unclassified" if the histology could not be confidently classified based on pathology material available for review. Indolent small B-cell lymphomas were not included among the PTLDs except for EBV-positive marginal zone lymphoma. Cox proportional hazards models were used to assess the association of clinical factors in overall survival (OS). Results: 233 patients diagnosed with PTLD between 1987 and 2017 were identified. The median age at the time of diagnosis of PTLD was 54 years (range 16 to 84) with 85 patients (36%) over the age of 60. 156 (67%) were male. The transplanted organs were kidney (41%), kidney/pancreas (5%), liver (29%), heart (9%), lung (7%), and other (8%). PTLD occurred late (more than one year after transplantation) in 66%. There were 69 stage I, 19 stage II, 8 stage III, and 128 stage IV patients. 84% presented with extranodal disease. 21% had involvement of the engrafted organ. 64% of the patients developed a PTLD that was EBV positive by in situ hybridization. Initial approaches to management included reduction of immunosuppression (N=55), chemotherapy/immunochemotherapy (N=71), reduction in immunosuppression with rituximab (N=58), single agent rituximab (N=14), and radiation therapy (N=5). At a median follow-up of 87 months (range 9-289), 139 (60%) patients had died. All six CHL-PTLD patients are alive, two of whom had an event. The median overall survival (OS) was 85 months (95% CI: 39-144) in 177 monomorphic B-cell lymphoma PTLD, 95.5 months (95% CI: 40-not reached) in 24 polymorphic PTLD, and 60 months in 8 non-destructive PTLD cases. In contrast, the median overall survival was 12 months (95% CI: 4-200) in 8 monomorphic T cell and 3 months (95% CI: 1-unreached) in 9 unclassified PTLD cases. Conclusion: PTLD is a heterogeneous group of immunodeficiency-associated lymphoproliferative disorders. The overall survival in non-destructive, polymorphic, and monomorphic PTLD were similar. Monomorphic T/NK cell types had inferior outcomes. Figure. Figure. Disclosures Maurer: Morphosys: Research Funding; Nanostring: Research Funding; Celgene: Research Funding. Ansell:Celldex: Research Funding; Merck & Co: Research Funding; Takeda: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics: Research Funding; Trillium: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Pfizer: Research Funding. Cerhan:Celgene: Research Funding; Nanostring: Research Funding; Jannsen: Other: Scientific Advisory Board.

Abstract Background Diffuse large B cell lymphoma post-transplant lymphoproliferative disorder (DLBCL-PTLD) represents a fatal complication after a solid organ transplant (SOT). Approximately 50% of DLBCL-PTLD can be related to Epstein Barr Virus (EBV) infection. However, the EBV status is not taken into account in the DLBCL-PTLD categorization, although increasing evidence suggests its critical role in biological, clinical and prognostic aspects of the disease. In this single center retrospective study, we compared clinical and histological features, as well as outcomes of DLBCL-PTLDs by EBV status. Methods This study focused on patients with SOT who were diagnosed with DLBCL-PTLD at Mayo Clinic (Rochester, MN). Patients were identified through the Mayo Clinic Lymphoma Data base and the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER), between 1989 and 2017. The histology was re-reviewed (RLK) and classified according to the WHO Classification or Tumours of Haematopoietic and Lymphoid Tissues 2017. Cell of origin (COO) was performed by Hans algorithm. EBV RNA in situ hybridization (EBER) was performed. Cox proportional hazards models were used to assess the association of clinical factors in overall survival (OS). Results 148 DLBCL-PTLD were identified. The median age at SOT and at the time of PTLD diagnosis were 50 years (range: 15-71) and 56 years (range: 18-82), respectively. The median time to PTLD diagnosis from SOT was 38 months (range: 1-499). The types of SOT included renal (44%), liver (36%), cardiac (9%), renal/pancreas (5%), pancreas (8%), lung (7%) and multiorgan (4%). 62% were stage III-IV, 30% had elevated LDH and 67% had an IPI >1. 88% of patients presented with extranodal disease, and 16% had involvement of the grafted organ. Eighty-three (56%) cases were EBV positive. The COO information was available on 35 cases. The non-GCB subtype was identified in 24 cases and GCB subtype in 11 cases. The initial treatment was as follows: reduction in immunosuppression (12%), immunosuppression reduction with rituximab (26%), rituximab alone (5%), chemotherapy with or without rituximab (35%). Patients with EBV positive PTLD were more likely to have grafted organ involvement (20% vs. 8%, p=0.047) and late PTLD (occurring after 12 months from SOT - 60% vs. 8%, p<0.001) than patients with EBV negative PTLD. There was no association between EBV status and age, sex, stage, LDH, and extranodal site involvement. At a median follow-up of 80 months (range 9-269), 83 patients (56%) had died. The 5-year survival rate from PTLD diagnosis was 56% (95% CI: 48-65%). The median OS was 85 months (95% CI: 37-148). There was no difference in OS in patients with EBV positive PTLD (median OS=84.7 months, HR=1.21, 95% CI: 0.77-1.92) versus patients with EBV negative DLBCL-PTLD (median OS=85.4 months, p=0.41). Conclusion Our study assessed the impact of EBV status on the presentation and clinical outcome of DLBCL-PTLD in a 148-patient single-institution cohort. 56% of cases were EBV positive. EBV positivity was associated with grafted organ involvement and late PTLD diagnosis. Patients with EBV-negative and EBV-positive disease had similar survival from PTLD diagnosis. Disclosures Maurer: Celgene: Research Funding; Morphosys: Research Funding; Nanostring: Research Funding. Cerhan:Nanostring: Research Funding; Jannsen: Other: Scientific Advisory Board; Celgene: Research Funding.

Abstract Background An association has been identified between the diagnosis-to-treatment interval (DTI) and prognostic clinical factors and outcomes in patients with previously untreated diffuse large B-cell lymphoma (DLBCL) (Maurer et al, JCO 2018). This association can result in inadvertent selection bias in clinical trials to exclude patients with aggressive disease due to the inability to delay treatment long enough to fulfill enrollment criteria, compromising the validity of clinical trial study results to the general population. A similar concern exists in the relapsed/refractory (r/r) DLBCL setting regarding patient selection bias against patients with aggressive disease requiring immediate treatment following relapse or progression. Here we examine the time from progression after immunochemotherapy (IC) to the initiation of first salvage chemotherapy and its association with outcome. Patients and Methods: Newly diagnosed patients were prospectively enrolled within 9 months of diagnosis in the University of Iowa/Mayo Clinic Lymphoma SPORE Molecular Epidemiology Resource (MER), now a subcohort of the Lymphoma Epidemiology of Outcomes (LEO) Cohort Study, and followed for progression/relapse, retreatment, and death. This analysis includes patients with their first r/r DLBCL following frontline IC who initiated aggressive salvage chemotherapy as identified and included in a previous publication (Farooq et al, BJH 2017). The progression-to-treatment interval (PTI) was defined as the time in days from date of progression from IC to initiation of salvage therapy. The date of progression was defined as either a) the date biopsy was obtained for patients who had a biopsy to confirm progressive disease or b) the date of the scan or clinical examination indicating progression in patients who did not have a biopsy performed. Event-free survival (EFS) was defined as time from initiation of first salvage therapy to progression or relapse, initiation of new anti-lymphoma therapy, or death due to any cause; overall survival (OS) was defined as time from initiation of salvage therapy until death due to any cause. Results: 162 patients with r/r DLBCL enrolled in the MER from 2002-2012 who initiated aggressive salvage chemotherapy with intent to transplant and had confirmed dates for both progression after IC and start of salvage therapy were evaluated. Median age at first progression for these patients was 64 years (range 36-76) and 104 (64%) were male. Median time from diagnosis to first progression on IC was 6.7 months (IQR: 4.6-12.7). Initial salvage therapy was R-ICE (80%), R-DHAP (8%), rituximab, oxaliplatin, cytosine arabinoside, and dexamethasone (ROAD) (6%), and other (7%). At a median follow-up of 49 months from initiation of salvage therapy (IQR: 33-74), 116 patients had died (72%). Median PTI was 6 days (IQR: 2-13). 110 patients (68%) had biopsy confirmation of disease prior to initiating salvage therapy; median PTI was 2 days (IQR: 1-7) for patients who had biopsy confirmation vs. 7 days (IQR: 3-16) in patients without biopsy confirmation, Wilcoxon p=<0.0001. There was no difference in OS from initial salvage therapy between patients who did not have biopsy confirmation (HR=1.09, 95% CI: 0.74-1.60, p=0.68) compared to patients with biopsy confirmation. Patients with short PTI (0-6 days) had significantly worse overall survival from initiation of salvage therapy (median OS = 7.6 months, HR=2.10 (95% CI: 1.43-3.08) compared to patients who initiated therapy 7 or more days from progression (median OS = 29.7 months), logrank p<0.0001. This association remained consistent (HR=2.20, 95% CI: 1.48-3.26, p<0.0001) after adjusting for age and biopsy confirmation of progression. Short PTI was also associated with inferior response rate to initial salvage therapy (51% vs. 65%, p=0.058), lower rate of proceeding to transplant after initial salvage therapy (33% vs. 55%, p=0.0063), lower rate of being event-free 24 months from initial salvage therapy (16% vs 33%, p=0.011) and lower rate of ever proceeding to transplant (44% vs. 59%, p=0.057). Conclusions: A short progression-to-treatment interval is strongly associated with inability to proceed to transplant and inferior overall survival in r/r DLBCL. These results have implications for the design and interpretation of clinical trials in the relapsed/refractory setting. Figure. Figure. Disclosures Maurer: Celgene: Research Funding; Nanostring: Research Funding; Morphosys: Research Funding. Ansell:Trillium: Research Funding; Merck & Co: Research Funding; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Pfizer: Research Funding; Celldex: Research Funding; Takeda: Research Funding. Witzig:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Cerhan:Nanostring: Research Funding; Celgene: Research Funding; Jannsen: Other: Scientific Advisory Board.

Abstract Introduction: Lenalidomide (Len) in association with standard Rituximab-CHOP (R2CHOP21) has been shown to be safe and effective in newly diagnosed Diffuse Large B-cell Lymphomas (DLBCL) [Nowakowski et al. JCO 2014, Vitolo et al. Lancet Oncol 2014]. The addition of lenalidomide appears to benefit primarily patients with non-Germinal Center B-cell (non-GCB) phenotype as determined by immunohistochemistry (IHC). These early results led to currently ongoing randomized trial in ABC subtype of DLBCL, however efficacy of R2CHOP in ABC DLBCL as defined by Gene Expression Prophyling (GEP) has not been reported. In the present combined analysis of two independent phase 2 studies, we report the long-term follow-up (FU) outcome in DLBCL patients treated with R2CHOP, comparing GCB and ABC according to Nanostring Platform. Methods: We included all newly diagnosed histologically-confirmed de-novo DLBCL patients enrolled in two R2CHOP21 phase 2 trials, conducted by Mayo Clinic (MC) and Italian Lymphoma Foundation (FIL). Inclusion criteria in the two trials were similar, main differences included: all age and all International Prognostic Index (IPI) vs age between 60 and 80 years old and IPI >1, in MC vs FIL study, respectively. All pts received R-CHOP21 plus Len at 25 mg/day for 10 days/cycle and 15 mg/day for 14 days/cycle in MC and FIL trial, respectively. Cell of origin (COO) was determined by IHC, according to Hans algorithm, and retrospectively, in patients with available pathological material, by Nanostring, performed according to Scott algorithm and Masque-Soler signature in MC and FIL study, respectively. We analyzed the long-term FU outcome in terms of progression-free survival (PFS), time to progression (TTP), overall survival (OS), comparing between GCB and ABC phenotypes according to GEP. Results: A total of 112 DLBCL pts (63 MC, 49 FIL) were included. Main characteristics were: median age 69 years (y) (range 22-87), male 65 (58%) pts, advanced stage III-IV in 94 (84%), B symptoms in 38 (34%), International Prognostic Index (IPI) intermediate-high/high in 71 (63%). At a median follow-up of 5.1 years (y), 5y-PFS was 63.5%, 5y-TTP 70.1% and 5y-OS 75.4%. A total of 32 relapses were observed, with only 2 cases of Central Nervous System (CNS) relapse. Late relapse occurring beyond 3 years was observed in 4 cases (3 cases with GCB phenotype and one case with missing COO data). In a subgroup analysis by IPI 0-2 vs 3-5 were: 5y-PFS, 5y-TTP and 5y-OS were: 69.0% vs 59.0% (p=0.100), 73.2% vs 67.4% (p=0.285) and 82.3% vs 70.2% (p=0.059), respectively. Regarding for COO defined by IHC, GCB phenotype vs non-GCB were 45 (40%) vs 41 (37%) patients respectively; 26 (23%) patients were not evaluable. 5y-PFS, 5y-TTP and 5y-OS were: 52.8% vs 64.5% (p=0.198), 61.6% vs 69.6% (p=0.444) and 68.6% vs 74.1% (p=0.238) in GCB vs non-GCB, defined by IHC, respectively. Regarding Nanostring analysis, GCB vs ABC vs Unclassified (Uncl) were 31 (46%) vs 22 (32%) vs 15 (22%) respectively; 44 pts were not evaluable. 5y-PFS, 5y-TTP and 5y-OS were: 62.3% vs 70.8% vs 64.2% (p=0.645), 68.1% vs 79.8% vs 64.2% (p=0.662) and 76.0% vs 74.8% vs 79.0% (p=0.658) in GCB vs ABC vs Uncl, defined by Nanostring, respectively (Table1, Fig1). Conclusions: The association of Len with R-CHOP21 appears to overcome the negative prognostic impact of ABC phenotype determined by GEP, with high PFS, TTP and OS rate, maintained at a long-term FU analysis. Figure 1. Figure 1. Disclosures Chiappella: Teva: Other: lecture fees; Janssen: Membership on an entity's Board of Directors or advisory committees, Other: lecture fees; Nanostring: Other: lecture fees; Roche: Other: lecture fees; Amgen: Other: lecture fees; Celgene: Membership on an entity's Board of Directors or advisory committees, Other: lecture fees. Gaidano:Roche: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Morphosys: Honoraria. Witzig:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Vitolo:Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Takeda: Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sandoz: Speakers Bureau; Gilead: Speakers Bureau.

Abstract Background: Reactive oxygen species cause DNA damage and altered immunologic responses, and have been linked to the development of NHL. Diets rich in fruits and vegetables are excellent sources of antioxidants, and vitamins C, E, polyphenols, and carotenoids, along with selected micronutrients such as zinc are thought to be responsible for most of the antioxidant activity in foods. We evaluated the hypothesis that vegetables, fruits and nutrients involved in antioxidant activity would protect against developing NHL. In a secondary analysis, we also assessed heterogeneity of this hypothesis for the most common subtypes of NHL: chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), follicular lymphoma, and diffuse large B cell lymphoma (DLBCL). Methods: We evaluated dietary antioxidant intake and NHL risk in a clinic-based study of 416 newly diagnosed NHL cases and 926 frequency-matched controls enrolled at the Mayo Clinic from 2002–2007. Usual diet two years before diagnosis/enrollment was assessed using a self-administered, 128-item food frequency questionnaire. Dietary intake of antioxidants was estimated using the Food Processor SQL system, further supplemented with data from US Department of Agriculture nutrient databases. Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CI), adjusted for age, sex, residence, and total energy. NHL subtypes were centrally reviewed, and subtype-specific risks were estimated using polychotomous logistic regression. Results: The mean age at diagnosis was 60.8 years for cases and 57% were male; for controls, the mean age at enrollment was 60.8 years and 54% were men. NHL risk was inversely associated with intake of total vegetables (OR for highest compared to lowest quartile, 0.46; 95% CI 0.32–0.68; p-trend<0.001), and specifically green leafy (OR=0.54; 95% CI 0.39–0.76; p-trend<0.001) and cruciferous (OR=0.62; 95% CI 0.43–0.88; p-trend=0.02) vegetables, but not legumes or red/yellow/orange vegetables. There was no association with total fruit intake or intake of citrus fruits in particular. When modeled together, the association for green leafy vegetables was unchanged while the association for cruciferous vegetables attenuated (OR=0.75; 95% CI 0.50–1.13; p-trend=0.3). Higher intake of total vitamin A (OR=0.60; 95% CI 0.41–0.88; p-trend<0.001) and vitamin E (OR=0.53; 95% CI 0.34–0.82; p-trend<0.001), but not vitamin C, were associated with lower NHL risk. For vitamin A, there was no association with preformed Vitamin A, but there was an inverse association with beta-carotene (OR=0.56; 95% CI 0.39–0.81; p-trend<0.001); only weak inverse associations were observed for other carotenoids (lutein/zeaxanthin, lycopene, and cryptoxanthin). When modeled together, the inverse association for vitamin E was unchanged while the association for beta-carotene attenuated. For micronutrients, there were inverse associations for manganese (OR=0.60; 95% CI 0.40–0.90; p-trend=0.02), selenium (OR=0.47; 95% CI 0.27–0.80; p-trend=0.01), and zinc (OR=0.46; 95% CI 0.27–0.80; p-trend<0.001) but not copper; when modeled simultaneously, both manganese (p-trend=0.03) and zinc (p-trend=0.02) remained significantly and inversely associated with NHL risk. Further adjustment for education, family history of NHL, smoking, alcohol use, and body mass index did not alter these results. There was no NHL subtype heterogeneity for the associations with total vegetables, green leafy vegetables or vitamin E, while inverse associations were not observed for manganese and follicular lymphoma or zinc and CLL/SLL. Conclusion: Higher intakes of vegetables, particularly green leafy vegetables, vitamin E, manganese, and zinc were associated with lower risk of NHL. These finding extend a growing literature from case-control and cohort studies that support a protective role of foods and nutrients that function in antioxidant related pathways against development of NHL, and therefore may represent one of the few known modifiable risk factors for this cancer.

Abstract The International Prognostic Factor Index (IPI) predicts survival in DLBCL in patients treated with chemotherapy. The Revised IPI (R-IPI) has been reported to be a simpler and more accurate predictor of outcome in patients treated with immunochemotherapy (rituximab and anthracycline-based chemotherapy). We evaluated the predictive value of the IPI and the R-IPI in an observational cohort of unselected patients treated with R-CHOP. Consecutive, newly diagnosed patients age 18 years and older with DLBCL were prospectively offered enrollment into our Lymphoma SPORE Registry. Pathology was centrally reviewed, and composite lymphomas and history of concurrent or prior cancers were excluded. All patients were actively followed for progression free progression (PFS) and overall survival (OS). Here we report on patients enrolled from 9/2002 – 6/2006. 229 patients with a median age of 62 years (range 20–93) were evaluated. 56% were >60 years of age, 16% had a performance score ≥2, 54% had an elevated LDH, 19% had >1 extranodal site, and 51% were stage III/IV. During follow-up, there were 63 progressions (28%) and 45 deaths (20%), and the median follow-up time for living patients was 34 months (range 6–61 months). As shown in the table and figure, the IPI and R-IPI were predictive for both PFS and OS (all p<0.001). The predictive ability of the IPI as measured by 3-year concordance index was stronger for the IPI (0.71) compared to the R-IPI (0.67) and the bootstrap 95% confidence interval for the difference (0.01, 0.08) indicates that this difference was statistically significant. While all factors in the IPI were statistically significant (p<0.05) predictors of OS individually, when included in a multivariate model, an elevated LDH (HR=1.5; p = 0.32) and >1 extranodal sites (HR=1.0; p = 0.96) were no longer significant; similar results were obtained for PFS. The IPI remains a strong predictor of PFS and OS in the immunochemotherapy era. Figure Figure Group % Pats 3 Y PFS HR 95% CI 3 Y OS HR 95% CI Standard IPI Low (0,1) 41% 87% 1.0 ref 93% 1.0 ref Low-Int (2) 22% 62% 3.1 (1.4, 6.8) 74% 4.2 (1.6, 11.1) High-Int (3) 21% 60% 3.1 (1.4, 6.8) 77% 3.4 (1.2, 9.7) High (4,5) 15% 39% 7.2 (3.4, 15.2) 47% 10.2 (4.0, 26.5) R-IPI Very good (0) 11% 96% 1.0 ref 100% 1.0 ref Good (1,2) 53% 74% 6.2 (0.8, 46.0) 84% - - Poor (3–5) 36% 52% 13.5 (1.8, 98.9) 65% - -

Abstract Abstract 995 PCNSL is an aggressive primary brain tumor characterized by a perivascular accumulation of malignant lymphoid cells. Most PCNSLs (90%) are diffuse large B-cell lymphoma (DLBCL); the remaining 10% are poorly characterized low-grade, Burkitt, and T-cell lymphomas. Since most patients are biopsed, genomic analyses are challenging. To determine the pattern of genetic alterations in PCNSL, frozen samples and formalin fixed embedded paraffin sections from 17 EBV and HIV negative and immunocompetent patients were studied by array-based comparative genomic hybridization (aCGH) using Sureprint G3 (1 million probes) array (Agilent). B-cell differentiation status was characterized by immunostains for CD10, MUM-1, and BCL-6. All cases were characterized by complex genomic aberrations with a median of 21 copy-number abnormalities (CNA) per patient (range 10–49). Overall, 22 minimal deleted regions (MDR) and 14 minimal amplified regions (MAR) were found in more than 20% of patients. Focal deletion affecting CDKN2A (9p21) was the most common CNA, found in 14 of 17 cases (82%); biallelic in six cases. Losses of 6q were observed in 71% of cases. Deletions of 6q23.3 (TNFAIP3) and 6q21 (PRDM1) were found in 59% (10/17) and 47% (8/17) of cases, respectively. Other common CNA were deletions of 6p21 (9/17; 53%), 3p21.1 (5/17; 29%), 3q26.32 (5/17; 29%), 8q12.1 (5/17; 29%), 10p14-p15.3 (5/17; 29%), 12q24.31 (5/17; 29%) and gains of 12q21-q24 (9/17; 53%), 7q21-q31 (6/17; 35%), 19q13 (6/17; 35%), 3q27.3 (5/17; 29%) and 11q24.1-q25 (5/17; 29%). Interestingly, several CNA were unique to PCNSL and were not identified in related entities as the typical DLBCL. Besides in CDKN2A, homozygous deletions were recurrently found in TMEM30A and TOX, the latter a regulator of T-cell development. Another 64 genes, including B2M, CD58, ETV6, LAPTM, MHC class II genes, PRDM1, TNFRSF10A and TNFRSF10B were also homozygously deleted. CD58, which encodes for a member of the immunoglobulin family and regulates the adhesion and activation of T lymphocytes, was also recurrently affected by focal monoallelic losses from 15 nucleotides to 1–2 exons, affecting the Ig-like C2-type domain as was confirmed by DNA resequencing. Focal heterozygous deletions affect TBL1XR1, a negative regulator of the NF-kB and Wnt pathways, and the putative tumor suppressor BCL7A in 29% of cases each. Pathway analysis done including the most commonly affected genes (Ingenuity Pathway Analysis) highlights the importance of networks associated with apoptosis and lymphocyte differentiation and proliferation, especially of T lymphocytes. In summary, this study showed evidence for a highly complex genome and identified target genes of potential relevance in the pathogenesis of PCNSL. The genomic profile described here is unique to PCNSL, thus helping to genetically differentiate this entity from the typical DLBCL and other related lymphomas. Disclosures: Fonseca: Genzyme: Consultancy; Medtronic: Consultancy; BMS: Consultancy; AMGEN: Consultancy; Otsuka: Consultancy; Celgene: Consultancy, Research Funding; Intellikine: Consultancy; Cylene: Research Funding; Onyx: Research Funding; FISH probes prognostication in myeloma: Patents & Royalties.

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