Kay, Neil E.

Abstract Clonal hematopoiesis of indeterminate potential (CHIP) is defined as somatic mutations in clonal blood cells of individuals without any other hematological abnormalities and have been identified using whole exome sequencing (WES) from pre-specified genes. CHIP is reportedly associated with aging, reduced overall survival, cardiovascular disease, and hematologic disease, mainly myeloid cancers. Additionally, whole genome sequencing and WES studies in CLL cases have identified putative CLL driver genes with recurrent somatic variants or copy number alterations. Here, we investigate the associations of CHIP and mutations in CLL somatic driver genes with risk of CLL and MBL, a precursor to CLL. Using WES, 571 individuals from 132 CLL families were sequenced from two different sites, Mayo Clinic (92 families) and National Cancer Institute (NCI, 40 families), including 251 CLLs, 74 MBLs, and 246 unaffected relatives. DNA was extracted from buccal cells (Mayo Clinic) and peripheral blood (NCI). Allele counts from gVCF files were extracted for specific genes and analyzed. Variants were annotated using the Variant Effect Predictor in Ensembl, genome build GRCh37 (http://useast.ensembl.org/index.html). Highly-sensitive flow cytometry of the blood was used to screen for MBL. CHIP was defined as in Genovese et al., 2014 as the presence of any of the following: A) disruptive mutations in ASXL1, TET2, or PPM1D; B) missense mutation p.617F in JAK2; C) disruptive or missense mutations in DNMT3Alocalized to exons 7 to 23D) any mutations reported at least 7 times in hematological malignancies in the Catalogue of Somatic Mutations in Cancer (COSMIC); and (E) No variant allelic fraction (VAF) threshold. CLL driver genes included disruptive or missense mutations in ATM, BIRC3, MYD88, NOTCH1, SF3B1, TP53, EGR2, POT1, NFKBIE, XPO1, or FBXW7with VAF greater than 0.1. Mutations from COSMIC and CLL driver genes were excluded if the minor allele frequency in 1000 Genomes was greater than 0.5%. Data was analyzed using logistic regression adjusting for age, sex, and site. Odds ratios (OR) and 95% confidence intervals (CI) were estimated. Median age for CLL, MBL, and unaffected was 63, 61.5, and 54, respectively. The unaffected relatives were significantly younger than both the CLL and MBL groups (p<0.0001), with no difference between CLL and MBL (p=0.46). A total of 70 (12%) individuals from 54 different families had CHIP. CHIP was characterized in the majority of samples as mutations in DNMT3A, ASXL1, and TET2with 43, 9 and 8 individuals, respectively. As expected, CHIP was associated with age (p<0.001) but not sex (p=0.87). CHIP was present in 42 (17%) CLLs, 9 (12%) MBLs, and 19 (8%) unaffected relatives. There was a significant association between the presence of CHIP and CLL risk compared to unaffected relatives (OR= 2.19, 95% CI: 1.20 - 4.13, p=0.013) but not with MBL risk (OR=1.34, 95% CI: 0.54 - 3.11, p=0.51). Using the CLL driver genes, we found mutations in 119 (47%) CLL, 20 (27%) MBL, and 70 (29%) unaffected relatives. Mutations in CLL driver genes were associated with CLL risk compared to unaffected relatives (OR = 2.51, 95% CI: 1.64 - 3.87, p<0.0001), but there was no evidence for increased MBL risk (OR = 1.00). These results held when we subset the analysis to the Mayo only data where the DNA was extracted from buccal cells. This study further supports the association between mutations in CHIP related genes and risk of hematologic malignancies, in particular CLL. This is the first report of the prevalence of CHIP in MBLs. Although MBL and CHIP represent clonal population of blood cells, our data suggest the clones are different. Mutations in CLL driver genes are also associated with CLL risk but show little to no evidence with increased MBL risk. Interestingly, our unaffected relatives of CLL cases also had a high frequency of CLL driver mutations. Future studies are needed to understand these acquired mutations (both in CHIP- and CLL driver- related genes) in the unaffected to MBL to CLL continuum. Disclosures Parikh: Abbvie: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; AstraZeneca: Honoraria, Research Funding; Gilead: Honoraria; Janssen: Research Funding. Ding:Merck: Research Funding. Cerhan:Jannsen: Other: Scientific Advisory Board; Celgene: Research Funding; Nanostring: Research Funding. Shanafelt:Jansen: Research Funding; Pharmacyclics: Research Funding; Genentech: Research Funding; GlaxoSmithKline: Research Funding. Kay:Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Infinity Pharm: Membership on an entity's Board of Directors or advisory committees; Cytomx Therapeutics: 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; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta: Research Funding; 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; Celgene: Membership on an entity's Board of Directors or advisory committees.

Abstract Backgrounds B cell receptor (BCR) signals and microenvironment protection have been recognized to have key influences on CLL survival and activation. Akt activation is down-stream of the BCR signaling cascade and is critical in the mediation of the bi-directional interactions between CLL B-cells and bone marrow stroma. MK2206 is an allosteric Akt inhibitor previously tested for safety in solid tumor patients. Our preclinical data has demonstrated the synergy of MK2206 with bendamustine (B) to induce CLL apoptosis in vitro. MK2206 also abolished the signal activation and cytokine production induced by BCR ligation in CLL leukemic cells (Ding, ASH 2012). Therefore, we conducted a phase 1 trial testing the safety and efficacy of MK2206 in combination with bendamustine and rituximab (BR) for patients with relapsed/refractory CLL. Methods A phase 1 dose-escalation study was designed to define the maximum tolerated dose (MTD) as well as the safety and efficacy of 3 dose levels (90 mg or 135 mg or 200 mg weekly) of the oral Akt inhibitor MK2206 in combination with bendamustine (70 mg/m2 daily for 2 days in each cycle) and rituximab (cycle 1: 375 mg/m2, cycle 2-6: 500 mg/m2) therapy in relapse/refractory CLL patients. To test the targeting efficacy of MK2206 on Akt and downstream signals, we designed a one-week “run-in” of single agent MK2206 before the initiation of BR during cycle 1. MK2206 was then given along with BR on day 1 of cycles 2-6. Tumor response was evaluated 2 months after the 6th/last cycle of therapy based on IWCLL 2008 criteria. Correlative laboratory studies included assessment of Akt signaling and the plasma cytokine levels (multiplex beads assay (Invitrogen)) at baseline and after one week of first dose of single agent MK2206. Results Nine patients (median age 68) were enrolled in the phase I portion of this trial. All 9 patients had unmutated immunoglobulin heavy chain variable region genes (IGHV) and 4 had del(11q). Six had received prior chemoimmunotherapy (CIT: FCR or PCR or PCO) and 5 had high risk disease defined as early progression within 26 months of the last CIT. Three had received alemtuzumab containing regimen. We have observed potent lymphocyte mobilization in all evaluated patients (n=7) after one-dose of MK2206 during week 1 (mean increase ALC: 35%) as well as reductions of plasma CCL3, CCL4 and CCL2 in the majority of the patients. A single dose-limiting toxicity (DLT) (febrile neutropenia and hemolytic anemia) was observed at dose level 1 (90 mg weekly) among 6 patients treated at this dose. Two patients with dose-limiting toxicities at dose level 2 (135 mg weekly) were observed where one patient had a rash and one patient had dehydration and febrile neutropenia among three patients treated at this dose. Accordingly, the 90 mg once weekly dose was determined to be the MTD for phase 2 trial testing. The most frequent grade 3 or 4 adverse events observed to date were neutropenia (44%) including febrile neutropenia (22%), rash (22%), diarrhea (22%), nausea and vomiting (11%), dehydration (11%), hemolytic anemia (11%) and thrombocytopenia (11%). The frequency of cytopenias was similar to the published German experience with BR (50% grade 3 or 4 hematological toxicities compared to 44% in N1087) in relapsed CLL patients (Fischer, JCO 2011). The median number of cycles received was 6 (range 1-6). Using an intent to treat analysis, two patients achieved complete response (CR, n= 2, 22%), one patient achieved nodular partial response (nPR, n=1, 11%) and five patients achieved a partial response (PR, n=5, 56%). The overall response rate (ORR) is 89%. Conclusion The Akt inhibitor MK2206 in combination with BR is well tolerated in patients with relapsed/refractory CLL. Single dose of MK2206 inhibits Akt phosphorylation, mobilizes leukemic cells and decreases plasma cytokines involved in BCR signals. The preliminary efficacy of this combination demonstrated promising results with a 89% ORR and 22% CR albeit in the small phase 1 cohort. These results compare favorably to BR alone (9% CR and 59% ORR) in relapsed/refractory CLL patients. Phase 2 testing of this combination is now underway. Acknowledgment This work was supported by the funding from NCI grant K23CA160345 (WD), NCI grant CA95241 (NEK) and Alliance for Clinical Trials in Oncology (CA025224 and CA33601). Disclosures: Off Label Use: MK2206, used in a phase 1 trial of relapsed CLL disease. Shanafelt:Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding. Zent:Novartis: Research Funding; GlaxSmithKline: Research Funding; Biothera: Research Funding; Genzyme: Research Funding; Genentech : Research Funding. Reeder:Celgene: Research Funding; Novartis: Research Funding; Millenium: Research Funding.

Abstract Background MBL is a precursor state to CLL, with a prevalence of ~5-8% in the general population and 15-18% in CLL families. To date, 41 single nucleotide polymorphisms (SNPs) have been found to be associated with CLL. We previously showed that a PRS of the weighted average of the number of risk alleles of these SNPs is associated with CLL risk using cases and controls from the International Lymphoma Epidemiology (InterLymph) Consortium. We validated this score in an independent sample of CLL cases and controls from the Genetic Epidemiology of CLL (GEC) Consortium, a cohort of families with ≥2 members with CLL. In the CLL families we also reported an association between the PRS and MBL risk, where 93% of MBLs were low-count MBL. Here we evaluate the PRS in an independent sample ascertained from the Mayo Clinic Biobank. Methods The Mayo Clinic Biobank is a large-scale bio-repository of adult patients assembled to provide a wide array of health-related research studies. Biobank participants (N=2530) were screened for MBL using a highly-sensitive, 8-color (CD38, CD45, Kappa, Lambda, CD19, CD23, CD5 and CD20) flow-cytometry assay on stored cryopreserved peripheral blood mononucleotide cells. Low-count and high-count MBL were defined as those individuals who had <85% and ≥85 clonal B-cells out of total B-cells, respectively. Individuals without MBL ("controls") were frequency matched to MBLs based on age and sex, after excluding non-Caucasian and non-interpretable flow results. Participants were genotyped using the Illumina OmniExpress array. Standard genotyping quality-control metrics were applied. We computed the PRS as previously published and categorized it by quintiles based on values previously used with InterLymph controls. The middle quintile served as the reference category. We used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CI), adjusting for age at consent, sex, and socioeconomic status. In addition, we compared the median PRS by low-count MBL and high count MBL using the Mann-Whitney U test. Results We identified 276 MBLs overall and 2109 controls; 97% (N=267) of MBLs had low-count MBL and only 3% (N=9) had high-count MBL. We then selected 844 controls frequency matched to the MBL cases on age and sex. Family history of leukemia/lymphoma was 11.3% among MBLs overall and 8.8% among controls. The median PRS was 7.88 and 7.46 (Figure) among MBLs overall and controls, respectively. The continuous PRS had a 1.75-fold increased risk for MBL overall (CI:1.5-2.1, P=2.65x10-12). Compared to the middle quintile, the highest quintile had 2.2-fold increased risk for MBL overall (CI:1.5-3.3, P=1.46x10-4) and the lowest quintile had 0.6-fold decreased risk (CI:0.4-0.96, P=0.03). The median PRS for low-count and high count MBL were 7.86 and 8.04, respectively. The continuous PRS had a 1.75-fold increased risk for low-count MBL (CI:1.5-2.1, P=4.81x10-12) and a 1.89-fold increased risk for high-count MBL (CI:0.8-4.2, P=0.13), however, the effect is not statistically significant between high-count and low-count MBL (P=0.89). Conclusion In this independent sample, we validated our previous findings that the CLL PRS is associated with MBL risk. Although the sample size of high-count MBL was limited (N=9), there is evidence of a weak trend towards a higher PRS compared to low-count MBL and controls Larger sample size of high-count MBL is warranted in order to stratify MBL risk by low-count and high-count MBL. These results may help identify individuals at higher risk of MBL including low-count and high-count MBL, beyond the risk associated with age and family history of CLL. Figure: Polygenic risk score distribution by control and MBL status Figure. Figure. Disclosures Parikh: Janssen: Research Funding; Pharmacyclics: Honoraria, Research Funding; Gilead: Honoraria; Abbvie: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; MorphoSys: Research Funding. Cerhan:Nanostring: Research Funding; Celgene: Research Funding; Jannsen: Other: Scientific Advisory Board. Kay:Janssen: Membership on an entity's Board of Directors or advisory committees; Acerta: Research Funding; Infinity Pharm: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Agios Pharm: 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; Cytomx Therapeutics: Membership on an entity's Board of Directors or advisory committees; Gilead: 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; Morpho-sys: Membership on an entity's Board of Directors or advisory committees. Shanafelt:Genentech: Research Funding; Pharmacyclics: Research Funding; GlaxoSmithKline: Research Funding; Jansen: Research Funding.

Abstract Abstract 4607 Background: Extramedullary Chronic Lymphocytic Leukemia (EM-CLL) is reported in the literature as case reports and series. The prognosis, patient characteristics, and treatment approaches to EM-CLL have not been fully analyzed in a comprehensive fashion. We therefore conducted a systematic review to better understand EM-CLL and how it might affect patients' clinical course and overall survival. Methods: A comprehensive PubMed search for English-language articles published between 1975 and 2010 in peer-reviewed journals was performed. EM-CLL was defined as CLL identified pathologically in these reports outside the bone marrow. Search terms included “EM-CLL, CLL outside the bone marrow, and CLL with each system [central nervous system (CNS), genitourinary (GU/GYN), gastrointestinal (GI), cardiac, pulmonary, head and neck (H+N), skin, and vascular]. Data regarding location, sex, age at diagnosis, systemic CLL disease setting (relapsed vs. initial diagnosis), laboratory studies/prognostic factors (when available), treatment for CLL (yes or no), use of chemotherapy (yes or no), use of radiation (yes or no), use of rituximab (R), use of purine analogues, outcome (alive or deceased), and follow-up were collected. A z-test was used for assessing proportion differences for gender, stage (Rai 0, 1, 2 vs. Rai 3, 4), and chemotherapy (yes or no). Univariate analyses were performed via the Chi-square test. A backward stepwise logistic regression analysis was performed to identify whether disease location, disease setting, age, and sex influence overall survival (OS). No other multivariate analyses were performed due to large percent of missing data for different variables of interest. A two-tailed P level of 0.05 was considered statistically significant in all analyses; which were performed using SPSS for windows, version 19.0 (SPSS Inc.) and StarStat (DataStar, Inc.). Results: A total of 192 cases were identified [63 (33%) skin, 51 (27%) CNS, 26 (14%) GI, 20 (10%) GU/GYN, 10 (5%) lung, 10 (5%) ocular, 6 (3%) heart, 5 (3%) H+N, and 1(0.5%) vascular]. Median age at detection of EM-CLL was 62 (range, 25–89); significantly more men were diagnosed with EM-CLL versus women (61% vs. 35%; z = 3.51, P <.001); more patients were at early stage (Rai 0, 1, 2) versus advanced (Rai 3 and 4) at time of EM-CLL but this difference was not statistically significant (22% vs. 18%; z = .43, P =.665). More patients with EM-CLL were treated with chemotherapy for their underlying systemic CLL than not (65% vs. 15%, z = 6.25, P <.001); very few patients received radiotherapy which was delivered for their EM-CLL (n=35; 18%) but treatment information was missing from approximately 20% of cases. Our analysis showed that there was no significant difference with regard to number of patients treated with chemotherapy before and after the contemporary chemoimmunotherapy era (defined here as before and after the year 2000) (87% vs. 78%, p =.171). As far as systemic therapy for CLL, 12% of pts received R and 14% received purine analogues. Tissue sites such as CNS (45%), ocular (33%), H+N (25%), and skin (19%) were significantly more likely to receive XRT (p <.001) but no significant differences between the sites were reported for chemotherapy (p =.106), R (p =.237), and purine analogues (p =.090) usage. OS data was missing in 56 cases (29%), 79 were alive (41%), and 54 (28%) were dead at the time of case reporting. Backward stepwise logistic regression analysis, which included data for 102 (53%) patients showed that EM-CLL detected in patients with systemic relapse had worse OS compared to those with EM-CLL at time of initial CLL diagnosis (p =.027), while no significant effect on OS was found for tissue site (p =.085), age (above or below 70, p =.796), and sex (p =.791). All other variables were not significant. Conclusions: To our knowledge, this analysis represents the largest collection of EM-CLL series examined comprehensively. EM-CLL is not an uncommon presentation in the spectrum of CLL/SLL with skin and CNS being the most commonly affected organs (33% and 27% respectively). Patients who develop EM-CLL in the relapsed setting have significantly worse OS compared to those who manifest EM-CLL at the time of initial diagnosis. We propose that this subset of CLL needs a prospective and robust accumulation of prognostic and clinical data as it will be critical in defining how extramedullary presentation affects the biology and natural course of CLL. Disclosures: No relevant conflicts of interest to declare.

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 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 We studied the prognostic significance of plasmablastic (PB) multiple myeloma (MM) in Eastern Cooperative Oncology Group Phase III trial E9486. Two reviewers independently reviewed 453 cases. They agreed on 37 PB (8.2%) cases and 416 non-PB cases, achieving an 85% concordance (P < .0001). These PB cases had significantly lower hemoglobin and serum albumin levels, higher calcium and β 2-microglobuin levels, and higher percentage BM plasma cells (PC) by immunofluorescence. They had higher bone marrow PC labeling indices, higher serum soluble interleukin-6 receptor (sIL-6R) levels, and a higher probability of ras mutations. Three treatment regimens were used: vincristine, bis-chloro-ethyl nitrosourea (BCNU) melphalan, cyclophosphamide, and prednisone (VBMCP) alone; VBMCP with added cyclophosphamide (HiCy); or recombinant interferon α 2 (rIFNα2). Although the numbers are low, patients with PB had a significantly lower response rate versus non-PB MM when treated with VBMCP (treated, 47.1% v nontreated, 66.5% [P = .015]). Patients with nonresponding PB had a significantly higher progression rate than non-PB cases (30.6%v 11.8% [P < .0001]), especially with VBMCP alone (35.3% v 15.8% [P = .002]), and with added HiCy (37.5% v 9.8% [P < .0001]), but not with added rIFNα2. Event-free and overall survival of PB MM was shorter (median years, 1.1 v 2.7 and 1.9 v 3.7, respectively [P < .0001 for both]). In multivariate analysis, PB classification was also highly prognostic. There is no survival difference between the patients who were classified as PB by both reviewers versus patients classified as PB by only one reviewer. We conclude that PB MM is a discrete entity associated with more aggressive disease and shortened survival. Tumor cell rasmutations and increased sIL-6R may contribute to a higher proliferation rate and reduced survival. There were significant improvements in response and progression with the addition of HiCy and rIFNα2 to VBMCP, but the numbers were small and improved survival could not be shown.

Abstract Abstract 2835 Background: Extrinsic growth and survival signals provided by nonneoplastic cells present within the tumor microenvironment promote the growth and survival of CLL cells. For example, bone marrow stromal cells, blood-derived “nurse-like” cells and follicular dendritic cells have been shown to promote the survival of CLL cells via the provision of both soluble and cell-contact dependent factors. More recently, monocytes were convincingly shown to support the survival of CLL cells during in vitro culture, and many of the factors (e.g. BLyS/BAFF, SDF-1, CD14) previously implicated in supporting the growth and survival of CLL cells are produced by monocytes. To explore the potential clinical implications of these in vitro findings, we evaluated the relationship between the absolute monocyte count (AMC) at diagnosis and disease progression in a well defined cohort of CLL patients. We hypothesized that the presence of a relative monocytosis at presentation in patients newly diagnosed with CLL may create a nurturing environment for CLL cells and be associated with more rapid disease progression. Methods: Previously untreated patients diagnosed with CLL/SLL within 12 months of presentation to the Mayo Clinic (from 1/1/2000-8/31/2010) were identified (n=1396). The AMC was obtained from routine complete blood counts (CBC) with automated or manual differentials that were performed within 3 months of diagnosis (n=947). The primary study objective was to determine whether the AMC is associated with time to first treatment (TTFT) in CLL. The secondary objective was to determine whether the AMC had independent prognostic value after adjusting for CD38/CD49d/Zap-70 expression, IGHV gene mutation status, and cytogenetic (11q-, 17p-) findings by FISH analysis. Results: The median age was 66 years and the median AMC was 550/μL (380–812/ μL, 1st-3rd quartile) at diagnosis (normal range: 300–900/μL). No significant difference in the median AMC was observed by age, gender; CD38, CD49d, or Zap-70 expression; IGHV gene mutation status or cytogenetic findings. Patients were followed for a median of 3.2 years (range: 0–10.3), with disease progression requiring the initiation of treatment observed in 268 (28%) patients. On multivariate analysis using a Cox proportional hazards model which incorporated age, gender and Rai stage, the AMC (as a continuous variable) was associated with TTFT with a hazard ratio (HR) of 1.099 (per unit change; 95% CI, 1.003–1.205; p=0.04). The optimal cutpoint for the association between AMC and TTFT was determined to be ≥1, 170/μL, a threshold that remained an independently significant predictor of TTFT after adjusting for age, gender and Rai stage with a HR of 5.1 (95% CI, 2.56–10.10, p<0.0001). The median TTFT was 1.0 year for patients with an AMC ≥1, 170/μL and 7.4 years for those with an AMC <1, 170/μL (p<0.0001). In order to evaluate whether the AMC had independent prognostic value after adjusting for other prognostic biomarkers, CD38, CD49d, Zap-70, IGHV gene mutation status and cytogenetic findings (11q- or 17p-), were individually incorporated into the multivariate analysis. In each case, the AMC remained an independent predictor of TTFT, with HRs ranging from 4.31 to 5.43 (p<0.0001 for all analyses). Conclusions: The AMC at the time of diagnosis as measured by a routine CBC is associated with accelerated disease progression in CLL/SLL independent of other prognostic biomarkers. These results suggest that the in vitro observation that nonneoplastic cells present in the tumor microenvironment promote CLL cell survival may have direct clinical implications for the prognostic evaluation of CLL patients and further substantiate the pathogenic role of monocytic cells in CLL. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 799 Background: Axl is a constitutively active receptor tyrosine kinase (RTK) in CLL B-cells. We have shown that Axl is physically associated with multiple non-receptor cellular kinases and regulates their activities in CLL B-cells including Lyn kinase (a member of Src-family kinases reported to be overexpressed in CLL), PI3K, Syk and phospholipase γ2 (PLCγ2). These aspects likely relate to drug resistance and survival. Importantly, inhibition of Axl by pharmacological inhibitor (R428) induces massive cell death suggesting its critical role in CLL B-cell survival. We hypothesized that in addition to its role in regulating cellular kinases, Axl might modulate the tumor suppressor p53 to make CLL B-cells more resistant to conventional therapeutic agents. This is based on our unpublished findings that CLL B-cells from patients who have undergone treatment without any reduction in tumor burden expressed increased levels of Axl vs. their pre-therapy levels. In addition, we have detected higher levels of Axl in 17p-deleted CLL patients. Thus to understand the mechanism of Axl RTK-mediated regulation of CLL B-cell growth and survival, we interrogated the functional association between Axl and the HDM2 (human homolog of mouse MDM2)/p53 axis. Methods: We cloned the entire (∼2 kb) 3'-untranslated region (UTR) of the Axl transcript into pMIR-Report vector downstream of the fire-fly luciferase gene. Human embryonic kidney cells (HEK293) were transfected with a full length Axl gene containing the first 500 nucleotides of its 3'-UTR or the pMIR-Report plasmid with or without miR-34a. Cell lysates were examined for the expression of Axl by Western blot or performed luciferase assay. Purified CLL B-cells were also treated with various kinase inhibitors including, Wortmannin (pan-PI3K-inhibitor), PP1 (Src-inhibitor) and SKI-606 (targets both Src and Axl) to detect signaling pathway components downstream of Axl involved in regulating HDM2 function. Results: CLL B-cells from majority of CLL patients (n=15) showed constitutive levels of Axl phosphorylation which we found was associated with the phosphorylation level of HDM2 at Ser-166. HDM2 has an important function in controlling p53 stability in response to genotoxic stress. Recent studies have shown that HDM2 can be phosphorylated on Ser-166 by AKT, MAPKs, and other kinases and this phosphorylation regulates HDM2 nuclearcytoplasmic shuttling under certain conditions. However, we found that HDM2 phosphorylation in CLL is independent of PI3K/AKT, p70S6K, and Erk1/2 activation. Interestingly, we found that inhibition of Axl and/or Src kinases (using SKI-606 and PP1) inhibited HDM2 phosphorylation suggesting that Axl and Src kinases are critically involved in regulating HDM2 affinity towards p53 in CLL B-cells. We also identified a complementary binding sequence of miR-34a microRNA on the first 100 nucleotides of Axl 3'-UTR, suggesting a possible post-translational regulation of Axl. Interestingly, miR-34 family transcription was reported to be regulated by p53, and miR-34a was found differentially expressed in CLL versus normal CD5+ B-cells and is linked to response to therapy in CLL. Indeed, exogenous expression of the Axl gene containing the first 500 nucleotides of the Axl 3'-UTR in HEK293 cells exhibited a dose-dependent down regulation of the Axl protein upon co-transfection with miR-34a using Western blot analysis. Furthermore, activation of p53 in CLL B-cells upon treatment with the DNA-damage agent doxorubicin showed a 4–5 fold decrease of Axl protein by flow cytometry. Activation of p53 by doxorubicin was verified by detecting increased expression of p53 and its acetylation at lysine-382 by Western blot. In addition, luciferase assay data using the Axl-3'-UTR reporter plasmid DNA and miR-34a revealed a dose-dependent inhibition of the luciferase activity. Further studies are underway to fully dissect these novel regulatory signaling pathways. Conclusions: Together, these findings suggest that the two functionally distinct cell growth regulatory pathways can modulate CLL B-cell survival in response to various stimuli. This study has established a link between Axl RTK cell-survival signaling pathway and the tumor suppressor p53-mediated apoptosis-signaling pathway in CLL. These first of a kind observations also underscore that the relative balance of p53 status and Axl levels in tumor cells could relate to CLL therapeutic outcome. Disclosures: Kay: Biothera: Research Funding; Clegene: Research Funding; Cephalon: Research Funding; Genentech: Research Funding; Glaxo Smith Kline: Research Funding; Hospira: Research Funding; Novartis: Research Funding; Supergen: Research Funding; Calistoga: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Emergent Biosolutions (Formerly Trubion): Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 2838 The combination of novel agents and chemo-immunotherapy (CIT) has led to a significant increase in both overall and complete response rates for chronic lymphocytic leukemia (CLL). There is, however, significant clinical heterogeneity in the overall effectiveness of CIT. Specifically, some patients are long-term responders who experience durable clinical remission while others, even though responding well initially, have less durable remissions. It is unclear if this heterogeneity is a reflection of an incomplete cytotoxic effect or whether certain leukemia sub-populations (i.e. subclones) are resistant to the effects of CIT. Comprehensive analysis of tumor cells has provided, in some malignancies, evidence of extraordinary genomic complexity and intraclonal genetic diversity. Conversely, little is known of the genetic architecture of the leukemic clone in CLL patients and the extent to which CLL tumor cells differentiate genetically at the subclonal level. In order to gain insight into the genetic architecture and clonal evolution underlying disease progression/relapse, we performed a sequential, longitudinal whole genome analysis by array-based comparative genomic hybridization (aCGH) in 22 CLL cases with evidence of clinical progression and/or clinical relapse post therapy. These patients received standard purine analogue, cyclophosphamide and rituximab (PCR) for progressive disease. For the purposes of this study, we classified samples as; time point 1 (TP1) collected >6 months before starting first-line CIT for disease progression; time point 2 (TP2) consisting of tumor samples at the time of initial progression requiring treatment; and time point 3 (TP3) consisting of tumor samples collected >6 months after initial treatment but prior to subsequent treatments. Overall, aCGH assay was performed in 54 samples from 22 cases (2 to 4 time points analyzed per patient): 6 cases were analyzed at TP1 and TP2, 8 at TP2 and TP3, 2 at TP1 and TP3, and the remaining 6 cases were analyzed at TP1, TP2 and TP3. In cases showing genetic changes between time points, FISH analyses were performed in 32 additional samples to assess intra-clonal diversity and provide a quantification of the clone size. There was a small increase in genomic complexity in later time points with a mean of 4 (median 4, range 0–12) CNAs detected at the first time point for each patient, increasing to a mean of 5.3 (median 4.5, range 0–21) CNAs at the last time point analyzed. Diverse patterns of changes in genetic architecture were observed. The simplest change in genetic architectures was the linear sequence, found in 2 cases (9%) and characterized by the maintenance of the initial abnormalities and the subsequent acquisition of additional CNAs in the same subclone. The pattern of changes in genetic architecture in another 4 patients (18%) demonstrated marked heterogeneity including multiple genetic subclones evolving either in succession or in parallel. In all 4 cases with multiple subclones, a marked shift in the dominant subclone was observed at the time of disease relapse, with the minor subclones at TP1 and TP2 becoming the dominant subclones at TP3. In addition, the subclonal evolution continued following secondary therapies, and in all 4 cases the emerging subclone showed resistance to multiple treatments. This argues strongly in favor of subclones with specific genetic structures becoming dominant with the selective evolutionary pressure imposed by therapy. In summary, this sequential genetic study reveals that CLL leukemic B cells exhibit an unanticipated level of heterogeneity including a variable number of genetically distinct subclones, which display dynamic behavior in disease progression. The characterization of this intraclonal architecture is of critical importance to better understand the mechanisms of disease progression and relapse as well as to ultimately inform us of individualized treatment strategies. Disclosures: Fonseca: Consulting :Genzyme, Medtronic, BMS, Amgen, Otsuka, Celgene, Intellikine, Lilly Research Support: Cylene, Onyz, Celgene: Consultancy, Research Funding.