Rimsza, Lisa M.

Background: Although diffuse large B cell lymphoma (DLBCL) can be cured using immuno-chemotherapy, 40% of patients experience relapse or refractory disease. Large-scale profiling studies have mainly focused on DLBCL at diagnosis, resolving different outcome groups based on gene expression (e.g. cell-of-origin (COO) or molecular high grade), MYC/BCL2 translocations (double-hit lymphoma) or gene mutations and copy number aberrations (Schmitz et al, NEJM 2018; Chapuy et al, NatureMedicine 2018). In comparison, longitudinal studies have been hindered by the limited availability of sequential biopsy samples. To date, the relapse-specific gene mutations identified are limited and inconsistent across studies. In our study, we have focussed attention on the changes in gene expression profile (GEP) accompanying DLBCL relapse. Methods: We retrospectively collected archival paired diagnostic/relapse formalin fixed paraffin embedded tumor biopsies from 38 de novo DLBCL patients collected from multiple UK sites treated with rituximab-based immuno-chemotherapy, where partial or complete remission was reported following treatment. COO classification was performed by the Lymph2Cx assay on NanoString to distinguish activated B-cell-like (ABC) and germinal center B-cell-like (GCB) subtypes. The Ion AmpliSeq™ Transcriptome Human Gene Expression Kit was used to measure the expression levels of > 20,000 genes on the paired samples. Results: COO remained stable from diagnosis to relapse in 17 ABC-ABC pairs, 11 GCB-GCB pairs and 4 unclassified (UNC)-UNC pairs. Frank COO switching was observed in 6 cases (1 ABC-GCB, 2 ABC-UNC, 2 GCB-UNC, 1 UNC-ABC). Pairs with stable COO were taken forward for further analysis. Gene expression analysis using the limma R package identified 163 and 136 genes as differentially expressed (DE) (p <= 0.01 and absolute log2FC > 1) between the diagnostic and relapse biopsies in ABC and GCB tumors respectively, with only a one gene overlap. Gene Set Enrichment Analysis further suggested that ABC and GCB relapses are mediated via different mechanisms, with tumor growth and proliferation signatures enriched in ABC relapses, whilst adaptive immunity-related signatures accompanied GCB relapses. Next, we aimed to utilise our relapse-specific genes to identify outcome predictors at diagnosis using publicly available GEP datasets. In order to increase our discovery power and accuracy, a larger set of DE genes from the paired differential analysis (796 genes in ABC pairs and 387 from GCB pairs) were selected (p <= 0.05) and subsequently used in a training cohort (GEP from Reddy et al, Cell 2017). The Prediction Analysis for Microarrays R (PAMR) algorithm identified a 30-gene signature within DE genes from ABC pairs (Fig1.A), capable of separating the 249 ABC cases into 136 low and 113 high-risk cases with significantly inferior overall survival (Hazard Ratio (HR)=1.89, log-rank p=0.0017, measure of goodness-of-fit C-index=0.71; Fig1.B). No equivalent signature was found in the GCB cases using this approach. The prognostic significance of this 30-gene discriminator was successfully validated using a linear predictor in two independent GEP datasets: 1) a population-based cohort (Lenz et al, NEJM 2008) with 93 R-CHOP-treated ABC cases identifying 47 low and 46 high-risk cases (HR=1.92, p=0.046, C-index=0.77; Fig1.C) and 2) a clinical trial dataset (REMoDL-B, Davies et al, Lancet Oncol 2019) with 255 ABC cases identifying 110 low and 145 high-risk ABC cases (HR=1.95, p=0.0051, C-index=0.70; Fig1.D). Conclusions: Here we describe a 30-gene discriminator in ABC-DLBCL, derived from genes differentially expressed between diagnosis and relapse, that allowed the definition of clinically distinct high and low risk subgroups in ABC-DLBCLs at diagnosis. The clinical translation of such a tool may be useful to guide therapy for this unfavourable subgroup of ABC-DLBCLs. Validation of this signature is currently underway in additional datasets and further study is required to understand the contribution of these genes in DLBCL pathology. Disclosures Korfi: Roche: Consultancy. Burton:Celgene: Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Rule:TG Therapeutics: Consultancy, Honoraria; Napp: Consultancy; Kite: Consultancy; Pharmacyclics: Consultancy, Honoraria; Gilead: Consultancy, Honoraria; Sunesis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; Astra-Zeneca: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Crosbie:Janssen: Honoraria. Scott:Celgene: Consultancy; Janssen: Consultancy, Research Funding; NanoString: Patents & Royalties: Named inventor on a patent licensed to NanoSting [Institution], Research Funding; Roche/Genentech: Research Funding. Rimsza:NanoSting: Patents & Royalties: Named inventor on a patent licensed to NanoSting [Institution]. Davies:Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Research Funding; Bayer: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Research Funding; Karyopharma: Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Research Funding; Acerta Pharma: Honoraria, Research Funding; ADCT Therapeutics: Honoraria, Research Funding; BioInvent: Research Funding; Kite Pharma: Membership on an entity's Board of Directors or advisory committees; MorphoSys AG: Honoraria, Membership on an entity's Board of Directors or advisory committees. Gribben:Abbvie: Consultancy, Honoraria, Research Funding; Acerta/Astra Zeneca: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding. Okosun:Gilead Sciences: Honoraria, Research Funding. Johnson:Epizyme: Honoraria, Research Funding; Novartis: Honoraria; Kite: Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria; Boehringer Ingelheim: Honoraria; Takeda: Honoraria; Genmab: Honoraria; Celgene: Honoraria; Incyte: Honoraria. Fitzgibbon:Epizyme: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Speakers Bureau.

Background: Diffuse large B-cell lymphomas (DLBCL) are a heterogeneous group of aggressive B-cell non-Hodgkin lymphomas (NHL). Primary mediastinal B-cell lymphoma (PMBCL) is often grouped and managed as DLBCL, yet PMBCL is biologically and clinically different. Although about two-third of patients are cured with initial therapy, those who are refractory or progress within the first two years do poorly and will die from their disease. There is an unmet need for effective therapeutic approaches in this patient population. Evasion of the host immune responses is an important mechanism for inducing resistance to cancer therapy. Strategies to block molecular and cellular mediators of cancer induced immunosuppression such as programmed death -1 receptor (PD-1) have been explored. Targeting PD-1 immune checkpoints has the potential to play a major role in cancer therapy by reversing tumor immune escape. Trials using PD-1 blockers in advanced hematological malignancies demonstrated remarkable activity in Hodgkin lymphoma. Unfortunately, results in the DLBCL cohort with nivolumab were marginal and short lived. A phase 1b trial in heavily pre-treated relapsed/refractory (RR) PMBCL using pembrolizumab (a PD-1 blocker) showed that it was safe and active with an ORR of 41%. In recent years, several signaling pathways implicated in DLBCL pathogenesis have been targeted, including the PI3K-AKT-mTOR pathway. Copanlisib, a pan-PI3K inhibitor, with particularly potent PI3K-α/PI3K-δ inhibition, showed activity in both indolent and aggressive NHL, with a safer toxicity profile than the FDA-approved agent idelalisib. In a preclinical DLBCL mouse model, treatment with copanlisib resulted in effective down regulation of tumor‐infiltrating T-regulatory cells (Tregs). In the same model, copanlisib, when combined with a surrogate anti‐mouse PD‐1, showed in vivo responses in 75% vs 0% in the monotherapy groups. These data support the rational for the combination of copanlisib and checkpoint blockade in DLBCL. We developed a phase 2 prospective study with two RR cohorts (DLBCL and PMBCL), treated with the combination of copanlisib and nivolumab. Study Design: copanlisib hydrochloride 60 mg is given IV on days 1, 8 and 15 of cycles 1-8 and days 1 and 15 of subsequent cycles. Nivolumab 240 mg IV is given on days 1 and 15 of cycles 1-8 and 480 mg on day 1 of subsequent cycles. Cycles repeat every 28 days for up to 2 years in the absence of disease progression or unacceptable toxicity. Copanlisib dose will be determined using a safety cohort in 6 patients. The primary outcome is to assess ORR defined as complete and partial responses (CR+PR). Secondary outcomes are to evaluate safety of the combination; to assess progression free survival (PFS), duration of response (DOR), CR rate, and overall survival (OS). Exploratory objectives are to characterize the effects of the copanlisib and nivolumab combination regimen on tumor cells, tumor microenvironment and the immune response in RR DLBCL and PMBCL. We will also do Lymph3CX assay as an integrated biomarker to distinguish between DLBCL and PMBCL. Key inclusion criteria: adult patients with RR DLBCL and PMBCL who have measurable disease with at least one lesion that is >15mm in the longest diameter on cross-sectional imaging; After failure of ASCT or after failure of frontline therapy in subjects who declined or are not ASCT candidates; and have appropriate organ function. Key exclusion criteria: High grade B-cell lymphomas; Active, known or suspected autoimmune disease or patients on any prohibited therapies; History of active CNS involvement or leptomeningeal involvement This study is expected to enroll a maximum of 96 (6 safety cohort, 44 DLBCL and 46 PMBCL) evaluable patients. We anticipate accruing 10 additional patients to account for ineligibility, cancellation, or other reasons. Therefore, the study is expected to accrue a maximum of 106 patients. The largest success proportion where the proposed treatment regimen would be considered ineffective in DLBCL is 25% and 30% in PMBCL. The smallest success proportion that would warrant subsequent studies with the proposed regimen is 45% in DLBCL and 50% in PMBCL. This design has a 90% power with a 1-sided 10% level test. This study is conducted through NCI-CTEP (NCI Protocol #10193; NCT03484819) and is funded by Bayer. The study is to open in fall of 2019 at 11 ECTCN sites, and is available to interested sites to join in. Figure. Disclosures Bennani: Kite Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Purdue Pharma: Other: Advisory board; Adicet Bio: Other: Advisory board; Adicet Bio: Other: Advisory board; Purdue Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Kite Pharma: Other: Advisory board; Kite Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Adicet Bio: Other: Advisory board. Nowakowski:Celgene: Consultancy, Research Funding; Selvita: Membership on an entity's Board of Directors or advisory committees; NanoString: Research Funding; MorphoSys: Consultancy, Research Funding; Genentech, Inc.: Research Funding; F. Hoffmann-La Roche Ltd: Research Funding; Curis: Research Funding; Bayer: Consultancy, Research Funding. Rimsza:NanoSting: Patents & Royalties: Named inventor on a patent licensed to NanoSting [Institution]. Ansell:Bristol-Myers Squibb: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Regeneron: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Bristol-Myers Squibb: Research Funding; Seattle Genetics: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; Trillium: Research Funding; Regeneron: Research Funding; Mayo Clinic Rochester: Employment; Trillium: Research Funding; LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; LAM Therapeutics: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; Affimed: Research Funding; Seattle Genetics: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Trillium: Research Funding; LAM Therapeutics: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Affimed: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Mayo Clinic Rochester: Employment; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Affimed: Research Funding; Trillium: Research Funding; Seattle Genetics: Research Funding; Affimed: Research Funding; Seattle Genetics: Research Funding; Regeneron: Research Funding; Affimed: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; LAM Therapeutics: Research Funding; Bristol-Myers Squibb: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding.

Background: Activation induced cytidine deaminase (AICDA or AID) causes somatic hypermutation (SHM) of the immunoglobulin heavy chain variable genes (IGHV). It has been widely hypothesized that aberrant targeting of AICDA creates additional driver mutations and intra-clonal heterogeneity which enables clonal evolution and thus disease progression. This hypothesis predicts that greater AICDA-mediated intraclonal heterogeneity will be associated with shortened progression free survival (PFS). To definitively test this hypothesis that AICDA-mediated heterogeneity is linked to risk of progression, we evaluated available samples from the largest US-based phase 3 trial of untreated follicular lymphoma patients treated with CHOP-based therapies, SWOG trial S0016. Methods: We have previously shown that ultradeep sequencing of two genes, the expressed IGHV and the 5' UTR of the translocated BCL2 allele, provide unrelated measures of AICDA-mediated genetic heterogeneity (Spence, J Immunol. 2014). Furthermore, the number of AICDA-mediated mutations in the 5' UTR of BCL2, but not in IGHV, correlates with the number of AICDA-mediated mutations at other known AICDA sites throughout the genome (such as PIM1, BCL6, RHOA, etc). Genomic DNA was prepared from all available paraffin-embedded specimens. Ultra-deep, amplicon-based sequencing (~10,000x) with internal controls to establish specimen-specific signal-to-noise parameters allowed sensitive and specific detection of sequence variants at 0.2% (FDR 1%). Results: For subjects with (152) and without (419) available specimens, the median duration of follow-up (11.3 years), the number of patients who progressed (60%), and other patient characteristics (demographics, histology, stage, FLIPI) were indistinguishable. Sequencing data that fulfilled strict quality metrics for low frequency variants were obtained for >75% of the specimens (114 for BCL2; 120 for IGHV); further analysis was restricted to these subjects. The extent of intraclonal variation within both the IGHV and the 5' UTR of BCL2 was highly variable. For BCL2, a median of 7 mutations/case were detected (range 0-61); the mutations were highly skewed to the RCYW motif (p<0.001), the preferred target of AICDA. These mutations defined a median of 5 subclones/case (range 1-22). The clonal IGHV was somatically mutated (<0.98 germline identity) in 94% of samples (median 0.89). For IGHV, a median of 113 subclones/case were detected (range 0-1531). Consistent with our prior study, no correlation was seen between the number of mutations detected in the IGHV and BCL2 or the number of subclones defined by IGHV and BCL2. Neither the number of mutations in nor the number of subclones defined by BCL2 or IGHV were prognostic. Cox regression showed no relationship between PFS and mutation number or subclone count based on either IGHV or BCL2 (hazard ratios are indistinguishable from 1; parameters were treated both as a continuous variables and dichotomized as quartiles). Furthermore, receiver operator curves did not suggest a cut point for any of these measures that would predict disease progression at any time (areas under the curve are indistinguishable from 0.5). Conclusions: Several measures of AICDA-mediated mutation and resulting subclonal heterogeneity were not found to be prognostic in previously untreated, advanced stage FL treated with CHOP-based regimens. In contrast, AICDA-mediated mutations have been reported to accrue during transformation from low grade FL to large cell lymphoma. This paradox calls for a more refined model to explain the role of AICDA in the progression of FL. Support: NIH/NCI grants U10CA180888, U10CA180819, U10CA180821, R21CA198072(WRB); and in part by GlaxoSmithKline. Disclosures Rimsza: NanoSting: Patents & Royalties: Named inventor on a patent licensed to NanoSting [Institution]. Leonard:Bayer Corporation: Consultancy; AstraZeneca: Consultancy; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy; Sandoz: Consultancy; ADC Therapeutics: Consultancy; Miltenyi: Consultancy; BeiGene: Consultancy; Sutro Biopharma: Consultancy; Celgene: Consultancy; Nordic Nanovector: Consultancy; Gilead: Consultancy; Karyopharm Therapeutics: Consultancy; Genentech, Inc./F. Hoffmann-La Roche Ltd: Consultancy; Bayer Corporation: Consultancy; Celgene: Consultancy; Epizyme, Inc: Consultancy; Merck: Consultancy; MorphoSys: Consultancy; AstraZeneca: Consultancy; Epizyme, Inc: Consultancy; Akcea Therapeutics: Consultancy; Miltenyi: Consultancy; ADC Therapeutics: Consultancy; BeiGene: Consultancy; Karyopharm Therapeutics: Consultancy; Merck: Consultancy; Sandoz: Consultancy; Gilead: Consultancy; Akcea Therapeutics: Consultancy; MorphoSys: Consultancy; Nordic Nanovector: Consultancy; Sutro Biopharma: Consultancy. Fisher:Celgene: Consultancy; Barclays: Honoraria; AstraZeneca: Consultancy; prIME: Honoraria. Smith:Portola Pharmaceuticals: Research Funding. Friedberg:Bayer: Honoraria, Other: Data & Safety Monitoring Committee; Acerta: Other: Data & Safety Monitoring Committee.

Key Points Five-year follow-up of S1106 demonstrates similar efficacy, MRD negativity, and 5-year survival with RH or RB, but RH was more toxic than RB. RB showed excellent efficacy and survival and less toxicity compared with a cytarabine-based regimen in transplant-eligible MCL patients.

Abstract Background: TP53 is reported to be mutated in about 20% of transformed and/or relapsed follicular lymphoma (FL) specimens but in fewer than 5% of pre-treatment FL specimens. The disparity in the reported prevalence of TP53 mutations at diagnosis versus transformation/relapse suggests that TP53-mutated subpopulations, which are too small for detection, might be present at the time of diagnosis in tumors destined to relapse. To test this hypothesis, we developed a more sensitive assay for TP53 mutations and applied the assay to SWOG S0016, a phase III randomized intergroup trial of CHOP chemotherapy plus rituximab (R-CHOP) compared with CHOP chemotherapy plus 131-iodine tositumomab (radio-immunotherapy (RIT)-CHOP) for previously untreated follicular non-Hodgkin lymphoma. Methods: Formalin Fixed Paraffin Embedded (FFPE) biopsies were available for 213/571 enrollees. 147 samples fulfilled inclusion criteria: 1) sufficient DNA for 3 PCR-reactions each at 250 ng gDNA (~40,000 diploid equivalents; 5'UTR and all exons of TP53 were amplified in 3 multiplexed reactions to obtain consistently sized amplicons); 2) appropriate size distribution of DNA products after library preparation (~300 bp). To maintain specificity with high read-coverage, each PCR included an amplicon of eUCR41 (eukaryotic ultra-conserved region) to provide specimen-specific metrics of DNA-damage and sequencing noise. Sequence reads (Ilumina 300 nt paired end) were merged, mapped to reference (>10,000x coverage), and single nucleotide variants (SNV) were called using LoFreq based on case and base-change error thresholds (from the eUCR41 data). Pathogenicity of each TP53 sequence variant was based on a consensus of the Seshat and IARC databases. Variant Allele Frequencies (VAF) of passenger SNVs (5'UTR of BCl2) allowed normalization to the minimum tumor fraction. Results: A total of 73 SNVs within TP53 were detected in 147 FFPE specimens (80 RIT-CHOP; 67 R-CHOP); the SNVs in 34 patients (23%; 17-30% 95% CI) created missense or nonsense mutations which met criteria for pathogenicity. The VAF for these SNVs ranged from 0.008 to 0.7 (median 0.02) and 82% had a VAF of less than 0.1. Among the 34 patients with a pathogenic TP53 mutation, no relationship was observed between the VAF and time to progression. The group of 34 patients with a pathogenic TP53 mutation had a shortened Progression Free Survival (PFS) (HR=1.68; p=0.035) and Overall Survival (OS) (HR=2.02; p=0.045). However, the relationship between TP53 mutations and PFS depended on treatment: for the R-CHOP arm, the pathogenic TP53 mutations were not associated with PFS (10-year PFS 44% vs 42%); in contrast, for the RIT-CHOP arm, pathogenic TP53 mutations were associated with a shortened PFS (10 year PFS 27% vs 65%; HR=3.2; p=0.001) (see figure). Furthermore, among patients with no detectable pathogenic TP53 mutation, RIT-CHOP was associated with a longer PFS than R-CHOP (10 year PFS 65% vs 44%; HR=0.58; p=0.046). Conclusions: Using specimens from SWOG S0016, we find that pathogenic TP53 mutations are present in 23% of untreated, advanced stage FL specimens, a considerably higher fraction than reports based on less sensitive methods. Long term follow-up of S0016 has shown that the RIT-CHOP arm had a small but statistically significant improvement in the 10-year PFS compared to R-CHOP (Shadman 2018). We now show that the interaction of RIT and TP53-status substantially affects PFS. First, in the cohort without a detectable TP53 mutation, a longer PFS was observed with RIT-CHOP than R-CHOP. Second, in the cohort with a detectable TP53 mutation, a shorter PFS was observed with RIT-CHOP than R-CHOP. This observation is consistent with the well-defined role of TP53 as the mediator of the apoptotic response to ionizing radiation. Therefore, an assay which detects subclonal populations with TP53 mutations defines two cohorts for which the inclusion of radio-immunotherapy had substantial and opposite effects on the risk of progression. Finally, this identification of subclonal TP53 mutations as a predictive biomarker highlights that preserving specimens from clinical trials to mine with new technologies can be key to the advancement of precision medicine. We wish to recognize the late Dr. Oliver Press for his central role in S0016 and his many contributions to SWOG. Support: NIH/NCI grants U10CA180888, U10CA180819, U10CA180821, R21CA198072 (RB); and in part by GlaxoSmithKline. Figure. Figure. Disclosures Rimsza: NanoString: Other: Inventor on the patent for the Lymph2Cx assay. Leonard:Juno: Consultancy; ADC Therapeutics: Consultancy; Pfizer: Consultancy; Gilead: Consultancy; Sutro: Consultancy; Biotest: Consultancy; United Therapeutics: Consultancy; BMS: Consultancy; Bayer: Consultancy; Genentech/Roche: Consultancy; Celgene: Consultancy; MEI Pharma: Consultancy; AstraZeneca: Consultancy; Karyopharm: Consultancy; Novartis: Consultancy. Smith:BMS: Consultancy; Portola: Honoraria. Friedberg:Bayer: Honoraria.

Abstract Introduction: HIV infected individuals are 17x more likely to receive a diagnoses of Diffuse Large B cell Lymphoma (DLBCL) compared to their uninfected counterparts. Moreover, DLBCL is more aggressive in HIV infected individuals, with up to 70% of patients being primary refractory to chemotherapeutic regimens. However, the molecular pathology driving the aggressive nature of HIV related DLBCL is poorly understood. Here, we have assessed the genomic and transcriptional differences between HIV(+) and HIV(-) DLBCL in order to identify the mechanisms driving the enhanced aggressive and refractory nature of HIV related DLBCL. Methods: A total of 66 cases, including 27 HIV(+) from the AIDS Cancer Specimen Resource Network (https://acsr.ucsf.edu/) and 39 HIV(-) institutional cases were included in this study. Fresh H&Es were reviewed by a hematopathologist to validate diagnosis and determine tumor content. Samples with <60% tumor content were macro-dissected. A total of 4x 5µm FFPE sections per sample were used for DNA and RNA extraction. DNA damage at the gross aberration level was assessed using array comparative genomic hybridization (aCGH). NanoString digital gene expression profiling (GEP) was used to perform the Lymph2Cx DLBCL Cell of Origin molecular subtyping assay (Germinal Center B-cell/ GCB, Activated B-Cell/ ABC, Unclassifiable/UNC) and to assess the differential expression of genes with known roles in cancer using the PanCancer Pathways panel. Results: Both the HIV(+) and HIV(-) cohorts were found to be GCB enriched with GCB-ABC-UNC distributions of 70%(19/27)-11%(3/27)-19%(5/27) and 54%(21/39)-33%(13/39)-13%(5/39) respectively. For both statistical and biological reasons, analysis was restricted to the GCB-DLBCL subtype only. Array CGH revealed the HIV(+) tumors have less DNA aberrations than their HIV(-) counterparts, indicative of enhanced genomic stability. GEP GSEA analysis revealed significant differences in the HIV(+) cohort compared to the HIV(-) cohort; including increases in DNA replication (MCM2, MCM4, MCM7) and Cell Cycle progression (CDC25A, CCNA2, CCNB1, E2F1) related genes as well as decreases in cell cycle negative regulators (CDKN1A, CDKN1B, CDKN2B, RB1), pro-apoptotic BCL2 genes (BAX, BIM, BMF, PUMA, BNIP3) and pro-survival BCL2 genes (BCL2, BCLW). Analyses also revealed significant increases in DNA repair related genes, particularly those with roles in the Fanconi Anemia-Homologous Recombination-Translesion Synthesis axis (FANCA, FANCD1/BRCA2, FANCE, FANCG, FANCR/RAD51, FANCS/BRCA1, FANCT, FANCV/MAD2L2). Conclusions: Our results show, for the first time, that GCB DLBCL arising in HIV infected individuals possesses a distinct molecular pathology to that which arises in uninfected individuals. These results indicate that the aggressive nature of HIV(+) GCB DLBCL is mediated by increased proliferation in conjunction with reduced cell cycle inhibitory capabilities and potentiated by heightened DNA repair that promotes genomic stability. Moreover, it is probable that the bolstered DNA repair capabilities confer an innate ability to repair DNA damage resulting from the administration of genotoxic chemotherapeutic agents and may be the mechanism underlying the high primary refractory rate to chemotherapeutics in HIV related DLBCL. Disclosures Rimsza: NanoString: Other: Inventor on the patent for the Lymph2Cx assay.

Abstract Introduction For patients with Stage III/IV Hodgkin lymphoma (HL), lack of response as assessed by PET scan following cycle 2 (PET2) of doxorubicin, bleomycin, vinblastine, and dacarbazine (ABVD) is predictive of poor clinical outcomes. SWOG Study S0816 utilized response-adapted therapy, where patients achieving a complete remission (CR) on PET2 (Deauville Score ≤ 3) continued 4 additional cycles of ABVD and those patients unable to achieve a complete remission (CR) on PET2 (Deauville Score > 3) were switched to therapy with escalated bleomycin, etoposide, doxorubicin, cyclophosphamide, vincristine, procarbazine, and prednisone (eBEACOPP) for 6 cycles. This study demonstrated a 2-year PFS of 64% in the PET2+ patients after switching to eBEACOPP, which was much higher than expected (Press 2016). Herein, we report the 5-year follow-up of survival and toxicities of the patients treated on S0816. Methods Patients with Stage III/IV HL were enrolled to S0816 from 7/1/09-12/2/12 (n=358). Eligible patients were age 18-60 years, had measurable disease, no prior lymphoma therapy, a Zubrod performance status of 0-2, and no serious medical comorbidities. Patients were treated with response-adapted therapy as above. A subset of 336 eligible and HIV-negative patients were analyzed. Of 336, 331 had central review of PET2. PFS and OS estimates were calculated using the Kaplan-Meier method. The two-sided Fisher's exact test was used to compare the rate of second cancer between patients switched to treatment eBEACOPP and those treated with continued ABVD after 2 initial cycles of ABVD. Results The median age of patients was 32 years (range, 18-60). All were Stage III/IV and 51% had an International Prognostic Score of ≥ 3. PET2 was negative in 271 patients (82%) and positive in 60 patients (18%). Of PET2+ patients, 49 (82%) switched to eBEACOPP as planned and 11 (18%) declined. Median follow-up is now 5.9 years (range, 0.2-8.3 years). Eighty-five (25%) patients have either progressed or died, for an estimated 5-year PFS of 74% (95% CI: 69%-79%; Figure 1). There were 64 (24%) events in those patients who were PET2- for a 5-year PFS of 76% (95% CI: 71-81%; Figure 2). There were 20 (33%) events in those patients who were PET2+ for a 5-year PFS of 65% (95% CI: 51-76%; Figure 2). One event occurred in a patient without central review of PET2. Nineteen patients have died for an estimated 5-year overall survival of 94% (95% CI: 91%-96%; Figure 1). Eleven (3%) patients died of HL including 6 (2%) that had PET2- and 5 (8%) that had PET2+. Other causes of death included: treatment-related toxicity [sepsis (eBEACOPP n=1), bleomycin lung injury (eBEACOPP n=1; ABVD n=1), and graft versus host disease (ABVD n=1)]; second primary cancers [(eBEACOPP n=2; cervical cancer and non-Hodgkin lymphoma (NHL)]; and unknown causes (ABVD n=2). Post-therapy grade 3 adverse events were uncommon but included 1 case each of heart failure, peripheral neuropathy, prolonged neutropenia, diarrhea, DVT (catheter-related) in patients who received continued ABVD and osteonecrosis of hips/shoulders in patients who received eBEACOPP. There were 13 (4%) cases of reported second cancers, including 7 (14%) in patients treated with eBEACOPP [1 each of myelodysplastic syndrome, kidney, melanoma, NHL, cervical, medullary thyroid, and basal cell carcinoma] and 6 (2%) in patients treated with ABVD (1 each of kidney, melanoma, NHL, bladder, prostate, and squamous cell carcinoma; 2-sided Fisher's exact P value = 0.001). Conclusions The long-term overall survival of the patients treated on S0816 remains high (94%) at 5 years. Despite historical data suggesting favorable clinical outcomes in patients with a negative PET2, nearly 25% of these patients experienced relapse events, demonstrating limitations of a PET-adapted approach and of standard frontline therapy with ABVD. In patients who were PET2+, PFS was favorable relative to historical series, but was associated with a high rate of secondary malignancies. Our results emphasize the importance of long-term follow-up in this disease, and the need for better biomarkers at diagnosis of HL and less toxic approaches for patients with a positive PET2. Acknowledgment In memory of Oliver W. Press, principal investigator of this trial, who died in 2017. Disclosures Straus: DAVA Oncology: Consultancy, Honoraria; Medical Crossfire: Speakers Bureau; Millenium (Takeda): Consultancy, Research Funding; JUNO: Consultancy; Bayer: Consultancy; Onco Tracker: Consultancy; Seattle Genetics: Consultancy; Roch China: Speakers Bureau; InPractice Elselvier: Consultancy; Memorial Sloan Kettering Cancer Center: Employment. Rimsza:NanoString: Other: Inventor on the patent for the Lymph2Cx assay. Bartlett:ImaginAB: Research Funding; Genentech: Research Funding; Forty Seven: Research Funding; Bristol-Meyers Squibb: Research Funding; Merck & Co: Research Funding; Novartis: Research Funding; Celgene: Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Immune Design: Research Funding; Acerta: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astra Zeneca: Research Funding; Millennium: Research Funding; Janssen: Research Funding; Affimed: Research Funding; Novartis: Research Funding; Pharmacyclics: Research Funding. Evens:Janssen: Consultancy; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy; Seattle Genetics, Inc.: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics International DMC: Membership on an entity's Board of Directors or advisory committees; Affimed: Consultancy; Abbvie: Consultancy; Novartis: Consultancy; Tesaro: Research Funding; Acerta: Consultancy. LaCasce:Seattle Genetics: Consultancy, Honoraria; Bristol-Myers Squibb: Other: Data safety and monitoring board; Research to Practice: Speakers Bureau; Humanigen: Consultancy, Honoraria. Barr:AbbVie, Gilead: Consultancy. Leonard:Gilead: Consultancy; Sutro: Consultancy; BMS: Consultancy; Juno: Consultancy; MEI Pharma: Consultancy; Celgene: Consultancy; Bayer: Consultancy; Pfizer: Consultancy; AstraZeneca: Consultancy; Biotest: Consultancy; Novartis: Consultancy; Karyopharm: Consultancy; Genentech/Roche: Consultancy; ADC Therapeutics: Consultancy; United Therapeutics: Consultancy. Kahl:Genentech: Consultancy; Celgene: Consultancy; Acerta: Consultancy; AstraZeneca: Consultancy; Juno: Consultancy; CTI: Consultancy; ADC Therapeutics: Consultancy; Abbvie: Consultancy; Gilead: Consultancy; Seattle Genetics: Consultancy. Smith:BMS: Consultancy; Portola: Honoraria. Friedberg:Bayer: Honoraria.

Abstract Introduction: The optimal initial management of mantle cell lymphoma (MCL) is unknown, but aggressive induction chemoimmunotherapy followed by autologous stem cell transplant confers long remission durations and is standard for younger patients. Cytarabine-based induction achieves higher rates of MRD-negativity compared to anthracycline-based induction regimens and correlates with improved outcomes. Whether a similar benefit exists after bendamustine-rituximab (RB) induction is unknown. S1106 compared induction R-HyperCVAD/MTX/ARAC (RH) or RB followed by autologous stem cell transplantation (ASCT). We previously reported similar 2-year (yr) progression-free survival (PFS) and overall survival (OS) with either regimen, and provocatively found that MRD negativity was similar with both regimens. RH was more toxic than RB and had higher stem cell mobilization failure rates. Methods: Inclusion criteria were untreated stage III, IV or bulky stage II MCL, Cyclin D1 +, age > 18-65, and adequate organ function. Randomization was stratified by MIPI. Patients (pts) received either 4 cycles of RH or 6 cycles of RB followed by ASCT. MRD was assessed at baseline and post induction. Extraction of genomic tumour DNA from paraffin embedded tissue or bone marrow aspirate and PCR amplification of IGH-VDJ, IGH-DJ, and IGK regions was performed followed by high-throughput sequencing to determine the tumor clonotype(s) (Adaptive Biotechnologies). DNA from peripheral blood mononuclear cells (PBMC) and plasma was amplified and sequenced to determine lymphoma molecules per million diploid genomes. Herein we report the results of the updated analysis at a median follow-up (mFU) of 5 yrs. Results: Fifty-two of 53 pts were evaluable. Baseline characteristics were similar between the two groups except for more female pts in the RH group. This study was closed based on prespecified criteria of stem cell mobilization failures in the RH arm. With mFU of 5 yrs (range, 29 days-6yrs), updated ORR (94.1% RH vs. 85.7% RB) and CR (41% RH vs. 43% RB) rates were similar. The 5-yr estimated PFS was 62% and 66% and the 5-yr estimated OS was 74% and 80% for RH and BR, respectively (Fig.1). Increased grade 3/4 toxicity and inadequate stem cell mobilization was seen in the RH arm thus challenging its use as an induction platform for future upfront MCL trials. 9/17 pts in RH and 23/35 pts in RB arm underwent ASCT. A landmark analysis was performed evaluating 5-yr PFS and 5-yr OS with and without ASCT in each arm. (Table 1) 27 patients consented to optional MRD assessment, with 12 paired serial samples (baseline and post induction). Overall, the estimated 5 yr PFS was 90% for all patients who achieved MRD negative status at the end of RB. Long-term toxicity included acute myeloid leukemia (N=1) in the RH arm at 5.4 yrs after diagnosis and lung cancer (n=1) in the RB arm at 2.9 yrs after diagnosis. Conclusion: The optimal induction regimen prior to ASCT in the initial management of MCL is a source of significant debate. Our initial findings supported RB as an effective platform with the ability to achieve MRD negativity. Long-term results of this study continue to demonstrate excellent response rates, 5-yr PFS and 5-yr OS with either RH or RB without any new toxicity signal. The 5-yr outcomes with RB compare favorably to more aggressive cytarabine-based induction regimens. Thus, R-Bendamustine could be an excellent backbone for induction therapy in transplant eligible patients and needs to be tested in larger phase III trials. Support: NIH/NCI grants CA180888, CA180819, CA180821, CA180820, and in part by Sequenta, Inc. (Adaptive Biotechnologies) Disclosures Kamdar: Seattle Genetics: Speakers Bureau; Genentech: Consultancy. Chen:Millennium Pharmaceuticals: Consultancy, Research Funding; Affimed: Research Funding; Seattle Genetics: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol-Myers Squibb: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Merck & Co., Inc.: Consultancy, Research Funding, Speakers Bureau; Genentech Inc.: Consultancy. Rimsza:NanoString: Other: Inventor on the patent for the Lymph2Cx assay. Barr:AbbVie, Gilead: Consultancy. Phillips:Genentech: Consultancy; Seattle Genetics: Consultancy; Bayer: Consultancy; Gilead: Consultancy; Pharmacyclics: Consultancy, Research Funding; Abbvie: Research Funding. Leonard:ADC Therapeutics: Consultancy; Karyopharm: Consultancy; Bayer: Consultancy; Pfizer: Consultancy; Genentech/Roche: Consultancy; Gilead: Consultancy; Juno: Consultancy; Sutro: Consultancy; AstraZeneca: Consultancy; BMS: Consultancy; Novartis: Consultancy; Celgene: Consultancy; MEI Pharma: Consultancy; United Therapeutics: Consultancy; Biotest: Consultancy. Kahl:Seattle Genetics: Consultancy; AstraZeneca: Consultancy; Gilead: Consultancy; Abbvie: Consultancy; Celgene: Consultancy; Acerta: Consultancy; CTI: Consultancy; Juno: Consultancy; ADC Therapeutics: Consultancy; Genentech: Consultancy. Friedberg:Bayer: Honoraria. Smith:Portola: Honoraria; BMS: Consultancy.

Abstract Introduction: Primary central nervous system lymphoma (PCNSL) is a rare intracranial lymphoma that accounts for less than 1% of all non-Hodgkins lymphomas and 3% of all brain tumors. Histopathologically, approximately 90% of PCNSL cases are categorized as a diffuse large B-Cell lymphoma (DLBCL). DLBCL malignancies are subdivided by Cell of Origin (COO), with the vast majority of PCNSL categorized as non-germinal center B cell (non-GCB) by immunohistochemistry. Gene expression profiling (GEP), however, has shown that immunohistochemically defined non-GCB resolves into two distinct subtypes, namely activated B-cell (ABC) and unclassified (UNC) subtypes. Using the Lymph2Cx molecular COO subtyping assay, we have found that 91% of PCNSL are ABC (unpublished data). Unlike systemic-DLBCL, PCNSL is largely confined to and rarely metastasizes outside of the immune privileged central nervous system. Despite this, PCNSL is one of the most aggressive forms of DLBCL. Given the immune privileged milieu in which PCNSL arises, we hypothesized that this milieu elicits a transcriptional profile that contributes to the enhanced aggressive nature of PCNSL compared to systemic-DLBCL. To investigate this hypothesis, this study assessed the gene expression differences between ABC-PCNSL and ABC-systemic-DLBCL, in order to identify novel players in the pathogenesis of ABC-PCNSL. Methods: A total of 35 HIV negative samples, with proven ABC-subtype COO as per the GEP Lymph2Cx assay, were employed; including 10 ABC systemic-DLBCL and 25 primary ABC PCNSL cases with no concurrent or prior history of systemic DLBCL. Samples were reviewed by a hematopathologist to confirm diagnoses and determine tumor content. Samples with <60% tumor content were macro-dissected before nucleic acid extraction, which was performed using the Qiagen AllPrep DNA/RNA FFPE Kit. Extracted DNA and RNA were quantified using the Qubit HS-kit and NanoDrop respectively. Digital gene expression technology was used to perform the PanCancer Pathways panel (NanoString, Seattle, WA). Differential gene expression analysis was performed using the NanoString specific statistical method NanoStringDiff. Identified gene sets were analyzed using the online Gene Set Enrichment Analysis (GSEA) Molecular Signatures Database (MSigDB). Results: Of the 739 cancer related genes targeted by the PanCancer panel, 256 were found to be significantly differentially expressed in the ABC-PCNSL cohort compared to the ABC-DLBCL cohort (p<0.05). Fifty six genes were upregulated and 200 were downregulated. With a 4.9 fold change, the most significantly overexpressed gene was FGF1 (p=4.7E-11). FGF1 encodes a primary ligand for the fibroblast growth factor receptors (FGFR) -1, -2, -3 and -4; of which, FGFR2 (p=1.0E-7) and FGFR3 (p=0.003) were also significantly overexpressed. Moreover, MSigDB identified the FGF signaling pathway as enriched in the upregulated gene set (5 genes, p=7.4E-9, FDR=6.6E-7). FGFRs are a family of receptors that activate known mitogenic signaling pathways including MAPK signaling, which MSigDB identified as the most enriched pathway in the upregulated gene set (14 genes, p=1.65E-19, FDR=2.2E-16). MSigDB analysis of the 200 down regulated genes revealed that 5 of the top 20 enriched signaling pathways were immune related and included Signaling by interleukins (26 genes, p=2.9E-38, FDR=3.2E-36), Immune cytokine signaling (31 genes, p=1.1 E-34, FDR=1.1E-32), chemokine signaling (28 genes, p=1.5E-34, FDR=1.4E-32), T-cell receptor signaling (24 genes, p=2.4E-34, FDR=1.9E-32) and Toll-like receptor signaling (23 genes, p=4.1E-33, FDR=3.0E-31). Conclusions: We show, for the first time, that ABC-PCNSL and ABC-systemic-DLBCL possess significantly different transcriptional profiles despite identical, molecularly determined, COO status. A principle difference between these DLBCL malignancies is their anatomical location related immune privilege status which is reflected as reduced immune related signaling in the CNS-DLBCL cohort and may have important mitogenic signaling implications. Indeed, the results suggest that the enhanced aggressive nature of PCNSL compared to systemic-DLBCL is mediated, at least in part, by enhanced FGF signaling; a pathway with known roles in cell survival and proliferation. Disclosures Rimsza: NanoString: Other: Inventor on the patent for the Lymph2Cx assay.

Abstract Objectives: Primary central nervous system lymphoma (PCNSL) is a rare aggressive B-cell lymphoma, particularly in HIV-negative individuals, that represents a clinical challenge due to its location and lack of comprehensive molecular and biologic description. Histopathologic features are that of diffuse large B-cell lymphoma with expression of pan-B-cell markers as well as cell of origin (COO) germinal center B cell (GCB) and post-germinal center B cell (non-GCB) markers. Previous studies using immunohistochemistry (IHC) suggest that the majority of PCNSL cases are non-GCB. However, gene expression profiling has revealed non-GCB to be comprised of two distinct subtypes, namely activated B-cell (ABC) and unclassified (UNC) subtypes that are indistinguishable by IHC. To date COO testing using the highly accurate Lymph2Cx gene expression profiling assay has not been reported in PCNSL. Methods: IRB approval was obtained and HIV negative patients diagnosed with PCNSL, who had given informed consent and for whom archived tumor tissue was available for testing were identified. COO testing was performed using the Lymph2Cx NanoString assay on RNA extracted from formalin-fixed, paraffin embed tissues using our established laboratory protocols. Clinical data including patient demographics, lines of treatment and survival outcomes were collected and correlated with each other and Lymph2Cx COO results. Results: Thirty-two HIV-negative patients diagnosed between January 2005 and June 2015 were included. Median age was 61 years (30-82) and 53% were male. Radiographic information was available for 18/32 patients. Eleven (61%) had a single brain lesion at diagnosis, while 7 (39%) had >1 brain lesion. Lines of systemic therapy were 1 (91%) and 2 (9%). All patients received methotrexate-based induction therapy (44% received methotrexate, rituximab and temozolomide, 16% received single-agent methotrexate, 31% received methotrexate and rituximab, and 9% received the modified Bonn regimen; methotrexate and cytarabine-based induction). A total of 10 patients (31%) received high-dose chemotherapy and autologous stem cell transplant (ASCT) for consolidation. Of the 10 patients that underwent consolidation therapy, 9 underwent ASCT after first line induction, and 1 underwent ASCT after second line therapy. None of the patients received whole-brain radiation therapy. At a median follow-up of 29 months (range of 2-107) median event-free survival (EFS) was 16.3 months (95% CI, 8.8-45.7), and median overall survival (OS) was 41.2 months (95% CI, 28.5-NE). COO testing using the Lymph2Cx assay revealed that 91% (29/32) were ABC, 9% (3/32) were GCB, and none were UNC. Histopathology reports described COO using the Hans algorithm in 11 of the 32 cases. Of the 3 determined to be GCB on Lymph2Cx, 1 was denoted GCB by the Hans algorithm and 2 were not stained to determine COO. Of the 29 determined to be ABC by Lymph2Cx, 9 were denoted non-GCB and 1 was denoted GCB by the Hans algorithm, and 19 were not stained to determine COO. Conclusions: This series of HIV-negative patients with PCNSL showed median survival consistent with previous studies. In this first series using the Lymph2Cx assay, we confirmed that over 90% of PCNSLs are of ABC subtype, which concurs with previous reports that PCNSL tumors are predominately non-GCB by the Hans algorithm. These findings provide biological rationale forthat pharmacologic interventions targeting B-cell receptor signaling to be explored in clinical trials in the majority of patients with PCNSL. Figure. Figure. Disclosures Rimsza: NanoString: Other: Inventor on the patent for the Lymph2Cx assay.