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Abstract Introduction: Unprecedented clinical outcomes were reported after CD19 chimeric antigen receptor T cell (CART19) therapy and led to their FDA approval in diffuse large B cell lymphoma and in acute lymphoblastic leukemia. However, the complete response rate in chronic lymphocytic leukemia (CLL) after CART19 therapy is much lower, at approximately 20-30%, and the mechanism(s) for this relative lack of success is unclear. The dominant known mechanism(s) that prevent successful CART cell therapy in CLL have been limited to CART expansion and poor persistence. However, potential mechanisms are not limited to the CLL T-cell. Several immune defects have been identified in CLL that result from the complex bi-directional interaction between B-CLL cells and their microenvironment. In CLL the leukemic microenvironment is rich with extracellular vesicles (EVs) secreted by B-CLL cells. There is growing evidence that these vesicles play an important role in intracellular communication by the delivery of growth factors, genetic material and microenvironmentally relevant molecules. Therefore, we aimed to investigate the role and interactions of EVs in the diminished or absent CART response seen in some CLL patients. Methods: EVs were isolated from peripheral blood of 16 patients with untreated CLL at different Rai stages (8 patients had early and 8 had advanced stage disease) and risk profile by FISH (8 patients had low risk and 8 patients had high risk disease, based on the presence of 17p deletion). Cytometry was used to determine size, number of particles per µl, Annexin V and CD19 expression. These variables were correlated to the Rai stage and risk category of the disease. To investigate the impact of EVs on CART cell functions, CART19 cells were stimulated with either CLL EVs alone or in combination with the CD19 positive cell line JeKo1. After coincubation different effector functions were analysed. Results: Two patterns of EVs in CLL patients were identified; a single versus two distinct EV size populations (small [EVssmall]; 50-240nm, median=110nm) and large [EVslarge]; 180-560nm, median = 360nm Fig 1.A). In 25% of patients, EVs were CD19 positive (EVCD19+). CD19 positivity was detected only in patients with the EVslarge (Fig 1.B). The EVs concentration, CD19 expression (EVsCD19+ vs EVsCD19-), or the size (EVssmall vs EVslarge) did not correlate with disease stage (early vs advanced Rai stage) or risk profile of CLL (low vs high risk) although some variation could be seen (Fig 1.C). To investigate our hypothesis that EVs could modulate CART19 function, CART19 cell effector functions were examined in the presence of EVsCD19+, EVsCD19-, EVssmall, or EVslarge. EVs, 1.5x10e5 particles, alone were insufficient to stimulate CART19 cells. However when CART19 cells were stimulated with the CD19 positive cell line JeKo1, their effector functions were reduced only in the presence of EVsCD19+, 50,000 particles, 2.5 x 10e3/ µl, but not EVsCD19- at the same concentration. This included a significant reduction in CART specific killing (Fig 1.D) and a reduction in cytokine production. The impairment of CART cell functions was independent of the size of EVs, i.e. there was no impairment of CART functions with large or small size EVCD19- in co-culture. Summary: We identify CD19 positive large size EVs from patients with CLL and demonstrate that these EVs play a role in the leukemic microenvironment by reducing CART cell activity. Studies are ongoing to define the mechanism(s). Disclosures Parikh: Janssen: Research Funding; AstraZeneca: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; Gilead: Honoraria; MorphoSys: Research Funding; Abbvie: Honoraria, Research Funding. Kay:Cytomx Therapeutics: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta: Research Funding; Infinity Pharm: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Agios Pharm: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees. Kenderian:Tolero Pharmaceuticals: Research Funding; Humanigen: Research Funding; Novartis: Patents & Royalties.

Abstract The current view is that treatment failures of AML patients are due to persistence of leukemia stem cells (LSCs). The presence of FMS-like tyrosine kinase-3 (FLT3) Internal tandem duplication (ITD) is associated with poor prognosis. But, FLT3 tyrosine kinase inhibitors (TKI) demonstrate transient clinical activity in FLT3-ITD+ AML patients. Persistent FLT3-ITD+ AML LSC represent a source of relapse. There is a pressing need to target LSC and improve outcomes for FLT3-ITD+ AML patients. PRMT1, the predominant arginine methyltransferase, has been implicated in pathogenesis of AML rare subtype (i.e., acute megakaryoblastic leukemia). Herein, we show that PRMT1 protein expression is significantly increased in LSC-enriched AML CD34+CD38- cells relative to the counterparts of normal peripheral blood stem cells (PBSC) (AML n=9, normal n=8, p=0.0004,). Following PRMT1-knockdown (KD), AML CD34+ cells (n=15) demonstrated varying degrees of apoptosis while the survival of normal cells were not affected. Interestingly, we observed significant apoptosis-induction in a subset of samples bearing FLT3-ITD mutation (6 out of total 15) upon PRMT1-KD (ShCtrl 13.9±3.6%, ShPRMT1 32.5±4.6%, p<0.001). PRMT1-KD induced apoptosis was also more evident in cord blood (CB) CD34+ cells expressing FLT3-ITD (ShCtrl 19.4±1.3%, ShPRMT1 45.2±2.5%, p<0.001) relative to that of FLT3-WT (ShCtrl 27.47±1.8%, ShPRMT1 36.9±1.6%, p=0.0167). In 293T cells ectopically overexpressing FLT3-WT or FLT3-ITD, co-immunoprecipitation (co-IP) indicated greater interaction between PRMT1 and FLT3-ITD. Through RNA-Seq profiling two AML lines (MV4-11, OCI-AML3) plus one FLT3-ITD transduced CB CD34+ cells with PRMT1-KD, we obtained a differentially-regulated gene set as a "PRMT1 signature". This signature was enriched in FLT3-ITD+ AML relative to FLT3-WT AML according to ssGSEA analysis using two AML datasets (GSE14468, GSE10358), indicating PRMT1 may cooperate with FLT3-ITD regulating AML maintenance. Given that PRMT1 directly interacts with FLT3-ITD, we next asked whether PRMT1 catalyzes FLT3-ITD protein methylation. Through mass-spectrometry analysis of a FLT3-ITD+ AML specimen and in vitro methylation assay, we identified that PRMT1 catalyzes FLT3-ITD arginine (R) methylation (Me) at two conserved residues, 972 and 973. Using in-house R972/973 Me antibody, we validated the expression of FLT3 R-Me in FLT3-ITD AML speciemens (7 out of 7). To test R-Me function, we transduced MLL-AF9 (MA9) overexpressing murine c-Kit+ cells with methylation-deficient FLT3-ITD (R972/973K, arginine [R] to lysine [K]) construct, and found that MA9 cells expressing R972/973K underwent more apoptosis than that of WT FLT3-ITD (WT FLT3-ITD 9.7±1.1%, R972/973K 23.7±2.1%, p=0.003). The double transformed cells were further transplanted into recipients for leukemia development. Mice receiving MA9 cells expressing R972/973K exhibited longer survival (median survival: WT FLT3-ITD 36 days, R972/973K 50 days, p=0.002, n=6). Mechanistically, expression of R972/973K did not affect the total tyrosine phosphorylation level of FLT3-ITD. Additionally, FLT3-ITD R-Me expression persisted after a TKI (AC220) treatment. These facts indicated that FLT3-ITD R-Me function is independent of FLT3-ITD kinase activity. We then used a FLT3-ITD+ patient derived xenograft (PDX) model to assess the effects of TKI and PRMT1 inhibition. Following engraftment >1% in peripheral blood, we divided mice (n=24) into 4 groups and treated each with vehicle, MS023 (a type I PRMT inhibitor, ACS Chem Biol. 2016;11:772-781) (160 mg/kg/i.p), AC220 (10 mg/kg/i.g) or combination for 4 weeks. MS023 treatment downregulating FLT3 R-Me levels enhanced elimination of FLT3-ITD AML cells by AC220 treatment (AC220 24.6±13.4% vs combination 7.6±6.5%, p=0.02, n=6). At 16 weeks post-secondary BMT, significant AML burden in single drug treated transplants was observed, but less AML cells were detected in combination-treated transplants (AC220 52.3%, vs combination 25.4%, p<0.001, n=6). MS023 had little effect on long-term in vivo engraftment of CD34+ from a human CB specimen (vehicle 76.3±5.9%, MS023 72.2±3.4%, p=0.21, n=5). In summary, our study demonstrated PRMT1 overexpression contributes to AML stem/progenitor cell survival possibly through FLT3-ITD methylation, supporting further exploration into how PRMT1-mediated FLT3 methylation governs LSC survival. Disclosures Khaled: Alexion: Consultancy, Speakers Bureau; Daiichi: Consultancy; Juno: Other: Travel Funding.

Abstract T cell Ig and ITIM domain (TIGIT) is an immune checkpoint molecule that is expressed on a variety of cell types including NK cells, effector and memory T cells, and Treg cells. Upon ligation with CD155, TIGIT delivers an inhibitory signal and negatively regulates anti-tumor responses. While important in normal T-cell biology, the pathological significance of TIGIT expression and function in the tumor microenvironment of the patients with follicular lymphoma (FL) is largely unknown. The present study sought to phenotypically and functionally characterize TIGIT+ T cell subsets in FL. While its expression is not detected on resting T cells in peripheral blood, we found that TIGIT is highly expressed on intratumoral T cells from FL. Treatment with cytokines such as IL-4 and TGF-β downregulated TIGIT expression on T cells. We found that TIGIT is predominantly expressed on effector memory T cells (TEM) with an activation/exhausted phenotype, and TIGIT+ T cells have higher expression levels of CD69 and PD-1 when compared to TIGIT- T cells. Functionally, TIGIT+ T cells displayed reduced capacity of cell proliferation and cytokine production (IFN-γ and IL-2). Using mass cytometry (CyTOF), we observed that TIGIT is abundantly expressed on some intratumoral Treg (CD4+CD25+Foxp3+) cells, while other Treg cells lack TIGIT expression in FL, forming two subsets of Treg cells: CD4+CD25+TIGIT+ and CD4+CD25+TIGIT-. These two subsets are phenotypically distinct in that CD25+TIGIT+ cells exhibited increased expression of activation/costimulatory markers such as CD69, CD27 and CD28 compared to CD25+TIGIT-, suggesting an activated Treg subset of CD25+TIGIT+ cells. This CD25+TIGIT+ subset had increased suppressive function and could more effectively inhibit activation and proliferation of CD8+ T cells than CD25+TIGIT- cells. Furthermore, we found that lymphoma B cells promoted the development of TIGIT-expressing T cells as TGF-β-mediated downregulation of TIGIT on T cells was inhibited when CD19+ lymphoma cells were present. Using a cohort of 31 FL patients, we found that intratumoral TIGIT-expressing T cells were associated with a favorable prognosis. Patients with TIGIT+ T cell numbers greater than 50% had better overall survival than patients with TIGIT+ T cell numbers less than 50%. Taken together, our results reveal a role of TIGIT in defining Treg cell subsets with different immune function and TIGIT expression may be useful in predicting patient outcome in FL. Disclosures Ansell: Takeda: Research Funding; Bristol-Myers Squibb: Research Funding; Pfizer: Research Funding; Seattle Genetics: Research Funding; Celldex: Research Funding; Regeneron: Research Funding; LAM Therapeutics: Research Funding; Trillium: Research Funding; Affimed: Research Funding; Merck & Co: Research Funding.

Abstract Diffuse Large B Cell Lymphoma (DLBCL) is the most common form of B-cell Non-Hodgkin Lymphoma (NHL), representing a third of all new cases. DLBCL is further sub-divided into various molecular sub-types based on gene expression and co-occurring genetic alterations. Gene expression based- subtypes include the germinal center B-cell (GCB) and the activated B-cell type (ABC) subtypes, with the ABC sub-type having a poorer prognosis than the GCB sub-type. Interestingly, 30-40% of all DLBCL patients harbor mutations in key epigenetic regulators, EZH2, KMT2D, CREBBP, EP300, and mutations in histone proteins themselves. Through an unbiased cell-based phenotypic screen, we discovered that inhibition of lysine demethylases, specifically KDM4C and KDM4A, represents a vulnerability across 15 different DLBCL cell lines including germinal center B-cell (GCB) and activated B-cell (ABC) type lines, with a GI50 value between 75nM to ~200nM, while sparing leukemia lines. Consistently, treatment of xenograft-based animal models of DLBCL with a low dose of KDM4A/KDM4C inhibitor delivered intra-peritoneally three times a week, results in a drastic reduction of tumor burden. Both KDM4A and KDM4C catalyze the removal of histone H3 K9 di- and tri-methylation (H3K9me2/3) and H3K36 di- and tri-methylation (H3K36me2/3). H3K9me2/3 is associated with promoter and enhancer repression, while H3K36me2/3 is present in gene bodies during transcription but also functions as a chromatin repressor Consistently, we have identified key enhancers, including those associated with IKZF1, that are "decommissioned" after inhibition of KDM4A/KDM4C. Repressed enhancer activity, through loss of H3K27 acetylation and H3K4me1, and gain of H3K9me2/3, results in a rapid transcriptional downregulation of IKZF1 and its partners including IKZF3. Given the role of IKZF1 in the transcriptional regulation of key B Cell Receptor (BCR) signaling components, we show that KDM4A/KDM4C inhibition leads to a downregulation of SYK, a proximal BCR-signaling component, which likely precedes DLBCL cell apoptosis. In addition, we observed an activation of extra-lineage transcription factors such as CEBPA and CEBPB, which are normally repressed by IKZF1 in the lymphoid lineage. A concomitant downregulation of the B-cell gene expression program and an upregulation of the myeloid (CD14+ monocytic) gene expression program is also observed, implying a "trans-differentiation" of DLBCL cells into the monocyte lineage. This lineage-switch correlates with an increased population of CD14+ expressing cells. Finally, using DLBCL patient data sets, we can show that over-expression of either KDM4A or KDM4C is associated with poor prognosis in DLBCL patients. In summary, we have discovered that KDM4A/KDM4C inhibition results in an increase of repressive histone modifications at several intra-genic "enhancers" of genes that are responsible for the survival and proliferation of DLBCL cells. The elucidation of this unique epigenetic mechanism provides a strong rationale for the development of novel targeted therapies against both multiple subtypes of DLBCL. Figure. Figure. Disclosures Shipp: Bayer: Research Funding; AstraZeneca: Honoraria; Merck: Research Funding; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract Background Outcomes for patients with chronic myeloid leukemia (CML) have improved in recent years. Nonetheless, survival disparities persist between various patient subgroups. There have been limited reports of ethnic variations in CML outcomes, with limited data on ethnic minorities (Hispanics and Asians), who are the fastest growing ethnic subgroups in the Unites States. We undertook a large Surveillance Epidemiology and End Results (SEER) based analysis to describe outcome disparities in different subgroups of CML patients, with a specific focus on various ethnicities. Methods SEER 17 Registry data (1973-2010) was utilized. Adult (>18 years) patients with confirmed diagnosis of CML were eligible. To avoid bias of under representation by ethnic minorities, analysis was restricted to patients with a diagnosis date of 1992 or later (SEER expansion). Cases that received a diagnosis at death certificate/autopsy, no follow-up records, or lacking age at diagnosis, sex, or race/ethnicity documentation were excluded. Cox proportional hazards models, adjusted for confounding variables, were used to evaluate association between patient characteristics and overall survival (OS). All statistical tests were two-sided with a significance level of 0.05, utilizing the SAS software (v9.2). Results The final analysis included 10,356 CML patients (5,943 males; 57.4%, 4,413 females; 42.6%). Age group cohorts included: 18-44 years (2,592; 25%), 45-54 years (1,706; 16.5%), 55-64 years (1,817; 17.6%), 65-74 years (1,876; 18.1%), and ≥75 years (2,365; 22.8%). Patients were stratified by race/ethnicity: White (7,292; 70.4%), African-American (AA) (1,143; 11%), Hispanic (1,163; 11.2%), Asian (697; 6.7%), and Native American (61; 0.6%). For survival analysis, Native Americans were excluded due to their small numbers. Patients were also stratified based on year of diagnosis (1992-1999, 2000-2004 and 2005-2010) to study the impact of evolving therapeutics on CML outcomes. Median age at diagnosis was significantly different among ethnicities (p<0.001) with Hispanics the youngest (47 years) and Whites the oldest (63 years) (Figure 1). There were more Hispanic and AA CML patients reported in recent years in the database than those in 1992-1999 or 2000-2004 (p<0.001). Survival analysis revealed that for all patients, females had a significantly better median OS than males (7.8 years vs. 6.4 years; p<0.001). Among the different age cohorts, median OS got progressively worse with increasing age at diagnosis (p<0.001), with a median OS of 15+ years in 18-44 year cohort vs. 2.3 years in patients ≥75 years. Patients diagnosed more recently had a better median OS (1992-1999: 4.5 years vs. 2000-2004: 7.7 years vs. 2005-2010: 9.8 years; p<0.001). AA had the worst median OS among all ethnicities, which was significantly worse than Whites (reference) (5.8 years vs. 7.4 years; p<0.001). Asians had a median OS of 6.4 years and Hispanics 6 years. In a multivariate model using race, age at diagnosis, year of diagnosis, sex and marital status, a significant interaction was noted between year of diagnosis and race, with all racial subgroups showing improvement in 5-year survival in more recent time periods (p=0.001) (Figure 2). A significant interaction was also noted between year of diagnosis and age, with a progressive improvement in 5-year survival noted across all age groups in more recent years (p<0.001) (Figure 3). Conclusions We present a population-based study of outcomes in CML with the largest representation of ethnic minorities reported so far. We noted a higher number of AA and Hispanic patients reported to the SEER database in recent years. Hispanic patients had a significantly younger age at diagnosis, which could mean longer treatment duration over the lifetime of a patient. AA patients had the worst median OS among all ethnicities, although all ethnicities and age groups were noted to have progressive improvement in outcomes in more recent years of diagnosis. The incremental benefit in outcomes was seen most for Asians and least for Whites. These results will help in better understanding of ethnic influences on disease biology and clinical behavior as well as optimal triaging of healthcare resources. Disclosures: Off Label Use: The abstract shows scientific information on SAR245409 which is an investigational product developed by Sanofi. This investigational product is not approved by any health authority for any indication.

Abstract Introduction B progenitor acute lymphoblastic leukemia (B-ALL) is a leading cause of childhood cancer death. Many chimeric genes have been identified and led to a refined classification of B-ALL and tailored therapies. Still, up to 30% of B-ALL cannot be classified into established subtypes, and the outcome for many is poor. Methods To identify novel subtypes of B-ALL, we performed integrative genomic analysis including transcriptome sequencing (RNA-seq) of 1,988 cases from St. Jude, Children's Oncology Group and adult cooperative group studies and analyzed chromosomal rearrangements, gene-expression profiles (GEP), somatic mutations and chromosome-level copy-number alterations. Cases lacking known or putative subtype-defining alterations underwent whole genome sequencing. Effects on proliferation and transformation of novel lesions were assessed by retroviral expression in cell lines and point-mutation knock-in mice using CRISPR/Cas9 genome editing. Results Using integrated genetic alterations and gene expression profiling, we classified 23 B-ALL subtypes (Table and Figure). Three groups included cases with similar GEP as canonical subtypes (ETV6-RUNX1, KMT2A-rearranged, and ZNF384-rearranged), but lacking the expected drivers (e.g., ETV6-RUNX1-like, n=42). Eighteen cases (0.9%) had rearrangements of BCL2, MYC and/or BCL6 showing a distinct GEP; they were mostly adults (n=16) with very poor outcome. These alterations, rarely seen in ALL, are identical to those observed in "double/triple hit" lymphoma, and are of pre-B immunophenotype. Eight cases with tightly clustered GEP comprised a novel subtype defined by IKZF1 N159Y missense mutation. N159Y is in the DNA-binding domain of IKZF1, and is known to perturb IKZF1 function, with distinct nuclear mislocalization and induction of aberrant intercellular adhesion. We identified two subtypes with distinct GEP characterized by PAX5 alterations. One, herein termed PAX5 altered (PAX5alt), comprised 148 (7.4%) cases, was characterized by diverse PAX5 alterations including rearrangements (n=57), sequence mutations (n=46) and/or focal intragenic amplifications (n=8). These PAX5 alterations were found in 73.6% of PAX5alt cases and different alteration types were mutually exclusive. Other PAX5 alterations, including deletions and large-scale amplifications were also assessed using SNP array, but were not enriched in the PAX5alt group. Clinically, PAX5alt pediatric and adult patients had favorable (96.8±3.2%) and intermediate (42.1±10.2%) 5-year overall survival (OS), respectively. The other GEP distinct subtype comprised 44 cases, all with PAX5 P80R missense mutations. In 30 of these cases, PAX5 P80R was homozygous due to deletion of the wild-type (WT) PAX5 allele or copy-neutral loss of heterozygosity. Of the other 14 cases with heterozygous PAX5 P80R mutations, 13 had a second frameshift (n=7), nonsense (n=2) or deleterious missense (n=4) PAX5 mutation. Four of the remaining 1,944 cases also had the PAX5 P80R mutation, but all were heterozygous with preservation of a WT PAX5 allele, consistent with the notion that homozygous or compound heterozygous PAX5 P80R mutation is the hallmark of this subtype. Adult PAX5 P80R cases (n=14) showed better 5-year OS (61.9±13.4%) than those in PAX5alt subtype (42.1±10.2%). To examine the effects of PAX5 P80R on B-cell maturation, WT PAX5, PAX5 P80R, V26G and P34Q were expressed in Pax5-/- lineage-depleted bone marrow cells. Expression of WT PAX5, PAX5 V26G and P34Q resulted in near complete rescue of B cell differentiation; however, expression of PAX5 P80R blocked the differentiation at the pre-pro-B stage of B-cell maturation. Further, Pax5 P80R heterozygous or homozygous mice developed pre-B-ALL with a median latency of 166 and 87 days, respectively, with heterozygous mice acquiring alterations on the second allele. In contrast, Pax5+/- mice, and those harboring G183S mutation observed in familial leukemia, do not spontaneously develop B-ALL. Conclusions These results show the utility of transcriptome sequencing in defining subtypes and founding genetic alterations in B-ALL, provide a revised taxonomy of the disease across the age spectrum, and reinforce the central role of PAX5 as a checkpoint in B lymphoid maturation and leukemogenesis. Disclosures McKay: ImmunoGen Inc.: Employment. Tallman:Orsenix: Other: Advisory board; AROG: Research Funding; BioSight: Other: Advisory board; Cellerant: Research Funding; AbbVie: Research Funding; Daiichi-Sankyo: Other: Advisory board; ADC Therapeutics: Research Funding. Stock:Jazz Pharmaceuticals: Consultancy. Konopleva:Stemline Therapeutics: Research Funding. Relling:Shire Pharmaceuticals: Research Funding. Mullighan:Cancer Prevention and Research Institute of Texas: Consultancy; Amgen: Honoraria, Speakers Bureau; Abbvie: Research Funding; Loxo Oncology: Research Funding; Pfizer: Honoraria, Research Funding, Speakers Bureau.

Abstract Background: B-cell non-Hodgkin lymphomas (NHL) are common lymphoid malignancies in which malignant B-cells arrested at various stages of differentiation proliferate within lymph nodes and occasionally other tissues. The microenvironment that supports the growth and survival of NHL B cells consists of a complex network of immune cells and cytokines and its specific composition has been shown to have significant clinical implications. The intratumoral immune cells include effector and regulatory T (Treg) lymphocytes that are more than simple residual elements from the normal lymph node structure. We previously explored whether the extent of T cell infiltration played a role in the clinical outcome of patients with B-cell NHL and found that an increased percentage of CD4+ T cells in the diagnostic biopsy of lymphoma patients significantly correlated with an improved 5-year overall survival. We have also shown that intratumoral Treg cells significantly suppress the anti-tumor response. Based on the fact that intratumoral T-cells are important in B-cell NHL, we evaluated whether genetic variation in genes that regulate the T-cell response may be associated with lymphoma risk. Methods: We genotyped 257 single nucleotide polymorphisms (SNPs) from 50 candidate genes related to T-cell differentiation and function in a clinic-based study of 441 Caucasian NHL cases and 475 frequency matched Caucasian controls seen at the Mayo Clinic from 2002–2005. Tagging and nsSNPs were selected from HapMap. The most prevalent homozygous genotype was used as the reference group and each SNP was modeled individually as having a log-additive effect, expressed as ordinal odds ratios (OR) per variant allele and 95% confidence intervals, in an age- and sex-adjusted logistic regression analysis. We also evaluated the consistency of the findings for the most common types of B-cell NHL - diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), and CLL/SLL. For gene-level analyses, we used principal components (PC) analysis using all SNPs from a gene; those PCs that explained > 90% of the variability were then modeled in a logistic regression analysis and significance was determined using a likelihood ratio test. We also evaluated the association of haplotypes from each gene with risk of NHL using the score test implemented from HAPLO.SCORE. Results. The mean age at diagnosis was 60.1 years for cases and 58% were male; among controls, the mean age at enrollment was 61.7 years and 55% were men. In the PC gene analyses, PRF1 (perforin gene - involved in cytotoxicity; p=0.004), CD276 (B7-H3 gene - involved in co-stimulation; p=0.01), TBX21 (T-bet gene – regulates Th1 cell development; p=0.02), and IL6 (p=0.02) were significant at p<0.05; haplotype analysis showed similar results, with the addition of CARD15 (NOD2 gene – regulates Th1 responses; p=0.02). There were 2 SNPs in PRF1, and both the intronic SNP rs3758562 (OR=1.38; 1.13–1.69) and the synonymous coding SNP rs885821 (OR=0.80; 0.63–1.02) were associated with NHL risk overall and for each subtype. There were 2 SNPs in CD276, and both the intronic SNP rs7176654 (OR=1.29; 1.07–1.56) and the mrna-utr SNP rs3816661 (OR=0.82; 0.68–0.99) were associated with NHL risk overall and with the CLL/SLL and follicular NHL subtypes specifically. There were 2 SNPs in TBX21, and only the mrna-utr SNP rs7502875 (OR=0.73; 0.59–0.92) was associated with NHL risk overall and for each subtype. There were 11 SNPs in IL6, and the intronic SNP rs2069835 (OR=1.88; 1.24–2.84) and the locus-region SNP rs2069824 (OR=1.73; 1.20–2.50) were each associated with NHL risk overall and each subtype. Finally, there were 9 SNPs in CARD15, with only the nonsynonymous coding SNP rs5743291 (OR=1.43; 1.02–1.98) being associated with overall NHL risk, and risk was specific to FL. Conclusions. Genetic variation in several genes that play critical roles in T-cell maturation and function was associated with lymphoma risk. These genes appeared to be associated with the differentiation and function of effector T-cells particularly Th1 and Th17 cells. These results provide potentially important insights into the role of T-cells in lymphomagenesis.

Abstract This study evaluated the contributing roles of flow cytometric immunophenotyping of blood and bone marrow and immunohistochemical paraffin section staining of bone marrow biopsies in the staging of B-cell malignant lymphoma. Flow immunophenotyping was performed on a marrow specimen in 175 cases; a corresponding blood specimen was also immunophenotyped in 135 of these cases. Morphologic marrow involvement by lymphoma was found in 59 cases; flow immunophenotyping identified 54 cases with a monoclonal B-cell process: morphology-positive/flow-positive (n = 49), morphology-positive/flow-negative (n = 10), morphology-negative/flow-positive (n = 5), and morphology-negative/flow-negative (n = 111). The 10 morphology-positive/flow-negative cases included 5 follicular and 5 large-cell lymphomas with minimal marrow involvement. All 5 morphology-negative/flow-positive cases were from patients with large-cell lymphomas and bulky clinical disease. Because the blood contained the same B-cell clone in 2 of 2 morphology-negative/flow-positive cases studied, blood contamination of marrow may account for these findings. Blood flow cytometric immunophenotyping studies were positive in 32 cases; 30 had marrow involvement by morphology and were from patients with follicular, mantle cell, lymphoplasmacytic, small lymphocytic, or marginal zone lymphomas. From our results, we conclude that (1) bone marrow flow cytometric immunophenotyping is not a cost-effective replacement for good morphologic evaluation in lymphoma staging and that (2) a positive peripheral blood flow cytometric immunophenotyping study when performed in low-grade lymphomas correlates with marrow involvement.

Abstract Abstract 845 Background: Waldenstrom's macroglobulinemia (WM) is a relatively uncommon plasma cell disorder and most of previous literature is limited to small patient series. We have noted ethnic disparities in multiple myeloma, another plasma cell disorder. We undertook a large Surveillance Epidemiology and End Results (SEER) based analysis to describe outcome disparities in different subgroups of WM patients, with a focus on various ethnicities, so that therapeutic resources can be targeted more effectively. Methods: The SEER 17 Registry data (1973–2008) was utilized for patients with confirmed diagnosis of WM. To avoid bias of under representation of different ethnicities, analysis was restricted to patients with a diagnosis date of 1992 or later. Cases that received a diagnosis at death certificate or autopsy, no follow-up records, as well as lacking documentation on age at diagnosis, sex, or race/ethnicity were excluded. Cox proportional hazards models, adjusted for gender, age, race, year of diagnosis, marital status and stratified by SEER registries were used to evaluate associatio n between patient characteristics and survival. All statistical tests were two-sided and utilized the SAS software (v9.2) with a significance level of 0.05. Results: The final analysis included 2,840 WM patients (1,759 males; 62%, 1,081 females; 38%). The studied age-group cohorts included: 18–64 yrs (845; 30%), 65–74 yrs (795; 28%) and >75 yrs (1,200; 42%). Patients were stratified by race/ethnicity: White (2,471; 87%), African-American (AA) (102; 4%), Hispanic (133; 5%), Asian (129; 5%), and Native American (5; 0.1%). Patients were also stratified based on year of diagnosis (before or after 2002) to study the impact of certain novel agents (proteasome inhibitors, IMiDs) on WM treatment. There was a significant difference in the age at diagnosis of WM patients across different ethnicities, with AA the youngest (median 61.5 years) and Whites the oldest (median 73 years) subgroup (p<0.001). (Figure 1) Cause-specific mortality could not be evaluated due to variable documentation of reported causes of death for WM patients in the database. Survival analysis revealed that for all patients, females had better median overall survival (OS) than males (7.3 years vs. 6.2 years, HR 0.834; 95% CI 0.740, 0.939; p=0.003). Among the different age cohorts, patients with age ≥75 years had a significantly worse median OS (4.1 years) than those 65–74 year-old (7.3 years) or 18–64 year-old (10+ years) (p<0.001). Patients diagnosed after 2002 had a significantly better median OS (7.3 years) as compared to patients diagnosed previously (6.1 years) (p=0.002). Hispanics had the worst median OS (5 years) and Whites had the best median OS (6.8 years) across various ethnicities. In a multivariate model using gender, age, marital status, year of diagnosis and race, a significant interaction was noted between race, age and survival, with Hispanics having a significantly worse OS than Whites (HR 1.86; 95% CI 1.269, 2.726; p=0.003) (Figure 2). Conclusions: Studies of outcome disparities are important for evaluating disease characteristics and management needs of specific patient populations as well as optimal triaging of healthcare resources. We have performed the largest population-based analysis for WM including various ethnicities in the novel therapeutic agent era. We observed that AA patients had a significantly younger age at WM diagnosis. Older patients had worse OS across all ethnic subgroups and patients diagnosed after 2002 had a better OS suggesting an impact of novel therapeutic agents (e.g., proteasome inhibitors, IMiDs). Hispanic WM patients had the worst OS among all ethnicities. This survival difference was more significant and pronounced in patients >75 years. This suggests that the impact of race on survival is influenced by patient's age. These results will help in better understanding of various influences on disease biology and clinical behavior. Disclosures: No relevant conflicts of interest to declare.

Abstract BACKGROUND: Information regarding risk factors for leukemic transformation (LT) in primary myelofibrosis (PMF) is limited, although both leukocytosis and abnormal cytogenetics have previously been implicated. The current retrospective study examines clinical variables at diagnosis as well as specific treatment modalities for their effect on LT in PMF. METHODS: Diagnoses of PMF and LT were based on World Health Organization criteria. In addition, study inclusion required availability, for review, of bone marrow histology and clinical data obtained at or within 6 months of diagnosis but prior to treatment intervention. Statistical methods used were standard and included Cox regression analysis of leukemia-free survival (LFS). RESULTS: A master database of PMF patients seen at the Mayo Clinic from 1976 through 2006 was queried to identify 311 patients who fulfilled the aforementioned stipulated criteria for study inclusion; median age was 57 years and 41% were females. At presentation, 30% of the patients displayed a hemoglobin level (Hgb) of < 100 g/L, 20% a leukocyte count of < 4 or > 30 x 109/L, 18% a platelet count of < 100 x 109/L, 12% an absolute monocyte count (AMC) of ≥ 1 x 109/L, 28% hypercatabolic symptoms and 35% a peripheral blood (PB) blast percentage of ≥ 1; 27 patients (9%) had a PB blast percentage of ≥ 3. Dupriez prognostic scoring system distribution for high, intermediate, and low risk disease was 30 (10%), 94 (30%), and 187 (60%) patients. Among 182 and 139 evaluable patients, 74 (41%) and 80 (58%) displayed cytogenetic abnormalities and JAK2V617F, respectively. At a median follow-up of 27 months (range 0–282), 27 cases (9%) of LT were documented at a median time from diagnosis to LT of 26 months (range 0.8–266). Effect of clinical and laboratory variables at diagnosis on leukemic transformation By univariate analysis, LFS was negatively affected by anemia (p=0.04), leukocytosis (p=0.04), PB monocyte count ≥ 1 x 109/L (p=0.02), platelet count of < 100 x 109/L (p=0.004), hypercatabolic symptoms (p=0.03) and PB blast percentage of ≥ 3 (p<0.0001); LFS was not affected by PB blast percentage of > 1 but < 3 (p=0.49). By multivariable analysis, significance was sustained only for PB blast percentage of ≥ 3 (p = 0.0002) and platelet count of < 100 x 109/L (p = 0.02) with hazard ratios (HR) of 5.8 and 2.8 and 95% confidence intervals (CI) of 2.3–14.6 and 1.2–6.6, respectively. The presence of JAK2V617F did not affect LFS (p=0.98). Effect of specific treatment on leukemic transformation By univariate analysis, LT was significantly associated with history of splenectomy (p=0.01) and treatment with erythropoiesis stimulating agents (ESA; p=0.004), danazol (p=0.007), and androgens (p=0.03) but not with hydroxyurea (p=0.17), interferon alpha (p=0.95), thalidomide (p=0.26) or other drugs. On multivariable analysis, significance was sustained for both ESA (p = 0.005; HR 3.1, CI 1.4–6.8) and danazol (p = 0.01; HR 3.4, CI 1.3–8.5), even when the aforementioned prognostic indicators at diagnosis were added as covariates to the multivariable model. CONCLUSIONS: The current study identifies PB blast percentage of ≥ 3% and platelet count of < 100 x 109/L, at presentation, as independent risk factors for LT in PMF. Unexpectedly, the study also revealed an association between LT and treatment history with ESA or danazol. These observations are intriguing, considering recent reports on the possible harmful effects of ESA in certain solid tumors.