Shanafelt, Tait D.

Abstract Introduction: Our current understanding of CLL biology and optimal therapies is based on clinical trials that have largely enrolled White patient populations. Whether these findings are applicable to Hispanic or non-White patients is unknown but critical to evaluate given the growing numbers of minority patients in the U.S. While retrospective studies have suggested inferior outcomes in non-White patients, prospective data on these disparities are lacking. Patients and Methods: We utilized the Mayo Clinic CLL database to better understand variations in disease characteristics, molecular differences, and treatment selections between non-Hispanic White patients and those not in this category (referred to hereafter as “other race”). After excluding 49 patients with missing diagnosis date and another 490 patients with missing race and/or ethnicity, the remaining 4104 cases within the registry were included in the analysis. Comparisons by race were made using Chi-square or Wilcoxon rank sum tests for qualitative or quantitative variables, respectively. Overall survival (OS) was calculated from diagnosis until death or last known alive date; time to first treatment (TTFT) was calculated from diagnosis until treatment date or date last known to be untreated. OS and TTFT were displayed via Kaplan-Meier plots, and differences in OS and TTFT by race were calculated using log-rank statistics. Individuals who were enrolled in early intervention trials (n=61) were excluded from analyses involving treatment. Results: In total, 4104 CLL patients were identified: 4011 (97.7%) non-Hispanic Whites and 93 (2.3%) other races. Median age at CLL diagnosis was younger for other race patients (59 vs. 63 years; p=0.002), while gender and stage distributions were comparable between both groups. Serum β-2-microglobulin and absolute lymphocyte counts at diagnosis were similar but more other race patients had elevated LDH (29.5% vs. 16.1%; p=0.02). Cytogenetic data by FISH were available for 1884 non-Hispanic Whites and 46 other race patients; poor-risk cytogenetics (17p and/or 11q deletions) were present in 23.9% of other race and 13.5% of non-Hispanic White patients, respectively (p=0.04). No statistically significant differences were observed for CD38, ZAP-70, or IGHV by race TTFT was similar for both non-Hispanic Whites and other race patients (4.6 vs. 5.5 years, respectively; p=0.12). First-line treatment selection was similar for both groups (Table). . With a median follow-up of 12.1 years, median overall survival was 9.3 years for other race and 12.2 years in non-Hispanic White patients (P=0.15; Figure). Conclusions: This prospective data supports the notion that CLL might be biologically different between non-Hispanic White and other race patients with less favorable FISH present in the latter group. Despite the observation that TTFT and type of first therapy are similar between both groups, the trend towards shorter OS in other race patients argues that other factors might contribute to outcome differences, such as disease biology, access to care, co-morbidities, and socioeconomic considerations. Further studies with larger cohorts are warranted. Table: First-line treatment selection among treated individual by racial First-line Treatment Non-Hispanic Whites(n=1875) Other race(n=41) Chemoimmunotherapy Purine analogue-based Alkylator-based 675 (36.0) 495 (26.4) 180 (9.6) 15 (35.6) 9 (22.0) 6 (14.6) Purine analogue -monotherapy 157 (8.4) 4 (9.8) Alkylator monotherapy 610 (32.5) 9 (22.0) PA+Alkylator 41 (2.2) 1 (2.4) Antibody alone 190 (10.1) 6 (14.6) Other 202 (10.8) 6 (14.6) Figure: Overall survival in CLL cases stratified by race Figure:. Overall survival in CLL cases stratified by race Disclosures Nabhan: Genentech: Honoraria, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding; Janssen: Honoraria, Speakers Bureau. Kay:Celgene: Research Funding. Shanafelt:Genentech: Research Funding; GlaxoSmithKline: Research Funding; Celegene: Research Funding; Cephalon: Research Funding; Pharmacyclics/Jannsen: Research Funding; Hospira: Research Funding; Polyphenon E Int'l: Research Funding.

Abstract Introduction: Several B-cell malignancies, including chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), are known to have a familial component to disease risk. Although several common inherited genetic variants have been found to be associated with risk of these malignancies, a large proportion of the heritability remains unexplained. Here we set out to identify rare high-penetrance susceptibility variants for CLL and MM using the established Mayo Clinic family study of B-cell malignancies. Methods: We performed exome sequencing on germ line DNA of 106 families with either two or more members with CLL (n=93 families) or two or more members with MM or monoclonal gammopathy of undetermined significance (MGUS) (n=13 families) using Aglient capture kits. All samples were sequenced on an Illumina HiSeq2000. Bioinformatics analyses leveraged the following software packages: Novoalign, Picard, The Genome Analysis Toolkit (GATK), and the Biological Reference Repository (bioR). Quality control filters were implemented; subjects with mis-specified relationships were removed as were variants with <95% call rate or <20x coverage, and those variants identified as sequencing artifacts. To identify potentially functional single nucleotide variants, the following was required a) uncommon in public databases, b) cosegregating variants in multiple families, c) variants to be highly conserved and in coding regions, and d) functional prediction status of deleterious (SIFT score), damaging (PolyPhen score), and a moderate, or high variant impact (SNPEffect). The association of these variants with risk was then evaluated in large samples of cases and controls in genome-wide association studies (GWAS). Results: In the CLL familial cohort, there were 443 individuals (160 with CLL, 73 with monoclonal B cell lymphocytosis (MBL), and 210 relatives without CLL or MBL) sequenced; and in the MM cohort, there were 39 individuals (13 with MM, 13 with MGUS and 13 without MM or MGUS) sequenced. A total of 61,992 single nucleotide variants passed quality control filters in the CLL cohort and 39,456 single nucleotide variants in the MM cohort. From these, we identified 32 variants in the CLL cohort and 39 variants in the MM cohort that were cosegregating in multiple CLL or MM families, respectively, and were predicted to affect protein structure or function. Of these, one CLL variant was within 1 Mb of a known GWAS-discovered locus. Moreover, there were seven CLL and four MM variants that were within 1 Mb of single nucleotide polymorphisms (SNPs) that had statistical significance between p<10-4 and p<10-6 in GWAS. Finally, there were 3 variants found to be common between CLL and MM families (see Table). Conclusions: Through whole exome sequencing, we identified a number of rare, highly penetrant predisposition variants for CLL and MM. Several of these variants were common to both B-cell malignancies providing evidence of shared genetic components; one variant may be a functional driver of the GWAS-discovered loci. These identified variants provide a list for future validation studies. Table: Exome variants common in both Chronic Lymphocytic Leukemia and Multiple Myeloma SNP ID rs41314099 rs61754114 rs143025033 Chromosome 17 6 7 Gene WSCD1 BACH2 TNS3 Penetrance (CLL) 0.70 0.75 0.80 Penetrance (MM) 1.00 0.80 0.75 Allele Frequency (CLL) 0.015 0.025 0.017 Allele Frequency (MM) 0.077 0.077 0.058 1000 Genome Frequency (European) 0.010 0.020 0.010 SIFT Term Deleterious Deleterious Deleterious PolyPhen Term Probably Damaging Probably Damaging Probably Damaging SNP: Single Nucleotide Polymorphism; CLL: Chronic Lymphocytic Leukemia; MM: Multiple Myeloma; Penetrance is defined as proportion of individuals carrying the alternate allele that are also affected; SIFT: Sorting Intolerant From Tolerant, predicts whether an amino acid substitution affects protein function; PolyPhen: Polymorphism Phenotyping, predicts possible impact of an amino acid substitution on the structure of a human protein Disclosures No relevant conflicts of interest to declare.

Abstract BACKGROUND. The detection of minimal residual disease (MRD) at the level of 0.01%/10-4 or above is a strong independent predictor of reduced progression-free (PFS) and overall survival (OS) in patients with CLL treated with chemoimmunotherapy. Although newer agents such as B-cell receptor pathway inhibitors can result in prolonged survival without achieving complete response, there remains a important role for MRD analysis in assessing therapeutic strategies aimed at disease eradication and cure. This is particularly important in front-line trials for fit patients which now require at least five years of follow-up if PFS is used as an endpoint. The feasibility of using MRD as a surrogate or intermediate endpoint for accelerated approval of new treatments is under review by regulatory agencies but further prospective validation is required. At the same time technology is rapidly evolving and high-throughput sequencing (HTS) technologies now detect MRD at the 0.0001%/10-6 level. It is therefore important to determine the most effective approaches for quantifying MRD that are compatible with previous studies but sufficiently sensitive for current treatments. AIMS. This collaborative project had two objectives. First, to identify the simplest and most flexible flow cytometry panel capable of detecting MRD at the 0.01%/10-4 or lower, that is compatible with published data and independent of instrument/reagent manufacturer. Second, to compare the flow cytometry approach with HTS analysis using the ClonoSEQ assay (Adaptive Biotechnologies, Seattle, WA). METHODS AND RESULTS. A core panel of antibodies for MRD detection was identified by testing an 8-marker combination in 52 samples (27 post-treatment and 25 dilution study) and re-analysing data with serial exclusion of single markers to determine redundancy. A 1-tube core panel of CD19, CD20, CD5, CD43, CD79b, and CD81 was identified and validated against the previously published 2-tube 6-marker and 4-tube 4-marker ERIC panels in 76 samples (19 post-treatment and 57 dilution study). The results showed good concordance (for log-transformed data above the LoQ, linearity=0.977, Pearson correlation co-efficient=0.983, average difference=0.026 log, 95% limit of agreement 0.20log) and a limit of detection of 0.001%/10-5 for the 1-tube core panel. Inter-operator variation was similar to CML MRD monitoring with both experienced operators, or inexperienced cytometrists after ~1 hour of specific education, achieving a 95% limit of agreement less than 0.3log in samples with MRD levels ranging from 0.0001 – 100%. The flow cytometry approach was compared with the ClonoSEQ HTS assay in 109 samples (21 dilution study and 88 post-treatment samples, complete data currently available on 13/88). The assay was applicable to the vast majority CLL patients, often with two clonal markers. There was 94% concordance at the 0.01% (10-4) threshold (15 samples with ≥0.01% CLL by both methods, 14 samples with <0.01% by both methods, 1 sample with 0.03% CLL by HTS and <0.003% CLL by flow cytometry, and 1 sample with 0.005% CLL by HTS and 0.012% by flow cytometry. HTS detected CLL IGH sequences in 22% (7/31) samples with no detectable CLL cells by flow cytometry (i.e. CLL level 0.0001-0.001%, 3/13 patient samples and 4/18 dilution samples). HTS demonstrated a relatively high variability in quantification, as seen in previous studies, but with a clear superiority in the limit of detection and good linearity (linearity=0.905, Pearson correlation co-efficient=0.870, average difference=0.078 log, 95% limit of agreement 1.5 log). CONCLUSIONS. The 1-tube 6-marker flow cytometry core panel is compatible with published studies, manufacturer-independent and flexible, providing directly quantitative results to 0.001%/10-5 without requiring a pre-treatment sample. HTS requires further work to standardise the quantitative analysis and prospective validation but the ClonoSEQ assay is applicable to >95% of CLL patients, does not require viable cells and is extremely sensitive, detecting residual disease in a significant proportion of cases with <0.01% CLL. The results indicate that flow cytometry and HTS are complementary technologies with a combined approach offering the most reliable way of quantifying CLL at the 0.01%/10-4 threshold while allowing higher sensitivity in clinical trials aimed at disease eradication. Disclosures Rawstron: Roche: Honoraria; Biogen Idec: Consultancy; Gilead: Consultancy, Honoraria; Abbvie: Honoraria; BD Biosciences: Intrasure reagent Patents & Royalties; Celgene: Honoraria; GSK: Honoraria. Williamson:Adaptive Biotechnologies: Employment, Equity Ownership. Sanders:Adaptive Biotechnologies: Employment, Equity Ownership. Robins:Adaptive Biotechnologies: Consultancy, Equity Ownership, Patents & Royalties. Hallek:Celgene: Honoraria, Research Funding; Mundipharma: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; GSK: Honoraria; Gilead: Honoraria. Hillmen:Roche: Honoraria, Research Funding; GSK: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; Gilead: Honoraria, Research Funding.

Abstract The human IGHV4-34 gene encodes antibodies which are intrinsically autoreactive when the VH domain is unmutated. Therefore, B cells expressing IGHV4-34 B-cell receptor immunoglobulins (BcR IG) are normally under close scrutiny in order to avoid unwanted autoreactivity, especially against DNA. The IGHV4-34 gene is frequently utilized in chronic lymphocytic leukemia (CLL), where, typically, it shows a high load of somatic hypermutation (SHM). We have previously reported distinctive SHM patterns amongst IGHV4-34 CLL, especially for subsets with stereotyped BcR IG. However, although a large number of cases (~2000) was previously studied, since even the largest subsets account for only ~3% of CLL, meaningful conclusions could not be reached for smaller subsets. Here we revisit this issue in a series of 16,528 CLL cases and focus on IGHV4-34 expressing subsets: #4 (IGHV4-34/IGHD5-18/IGHJ6 | 156 cases, 0.9%); #11 (IGHV4-34/IGHD3-10/IGHJ4 | 16 cases, 0.1%); #16 (IGHV4-34/IGHD2-15/IGHJ6 | 41 cases, 0.25%); #29 (IGHV4-34/IGHD: unassignable/IGHJ3 | 39 cases, 0.24%); and #201 (IGHV4-34/IGHD: unassignable/IGHJ3 | 43 cases 0.26%). Focusing on codons 27-104 within the VH domain (from CDR1-IMGT to FR3-IMGT), we calculated the sequence distance between subsets and the corresponding IGHV4-34 germline sequence based on a pairwise qualitative and quantitative comparison of the respective amino acid composition. The minimum distance calculated, and hence the greatest identity, was observed between subsets #4 and #16, both concerning IgG-switched cases (IgG-CLL), which is notable given the overall rarity of IgG-CLL. In contrast, the maximum distance, implying the least identity, was between subsets #16 and #201, the latter concerning IgM/D-CLL. Extreme variations between subsets were noted in codons spanning the entire VH domain. This result is consistent with our finding of a subset-biased distribution of mutations over the VH domain. More specifically, while subsets #11, #16, #29 and #201 had a lower frequency of mutations within VH CDR1 compared to VH CDR2, the exact opposite was seen in subset #4, with 40% of mutations in VH CDR1 versus 27% in VH CDR2. In addition, subsets #4, #11, #16 and #29 had a similar distribution of mutations in VH FR2 and VH FR3, in contrast to subset #201 that showed a preference for VH FR3 over VH FR2. Consequently, we noted that certain positions were targeted in a subset-specific manner e.g. codon 28 in VH CDR1 was heavily targeted in subsets #4 (68.6%) and #16 (87.8%), with most cases carrying an acidic amino acid (AA) introduced by SHM, glycine to glutamic acid, G>E: 51.3% for subset #4 and 78% for subset #16. The high prevalence of acidic AA introduced by SHM in these subsets is notable considering the electropositive nature of their VH CDR3 (especially of subset #4), strongly recalling edited anti-DNA antibodies. Interestingly, the G>E change was identified at a much lower frequency in other IGHV4-34 subsets: 18.75% for subset #11; 2.6% for subset #29; 7% for subset #201, all of which carried electronegative VH CDR3. Further, we noted that certain positions were heavily targeted in all subsets e.g. 56-86% targeting for SHM at codon 92 in VH FR3 where serine is encoded by the agc triplet, the ”hottest of hotspots”. This result could be viewed as sequence- rather than subset-dependent and linked to the molecular features of this codon, which is supported by the low targeting of codon 93 (0-6%), also encoding serine by the tct triplet. Other positions were targeted in all subsets but at vastly different frequencies e.g. codon 64 was targeted in 37.8% in subset #4 rising to 100% in subset #29. Finally, positions heavily targeted by SHM in certain subsets were unmutated in other subsets e.g. codon 36 in VH CDR1 remained unmutated in subset #16, in contrast 76.9% of subset #29 were mutated at this position resulting in an AA change. In conclusion, we document different spectra of SHM and AA changes between stereotyped IGHV4-34 CLL subsets. The finding of subset-biased, recurrent AA changes at certain codons indicates that the respective progenitor cells may have responded in a specific manner to the selecting antigen(s), despite expressing the same IGHV gene, indicating a functional purpose for these modifications. This is exemplified by the molecular characteristics of the recurrent AA changes in subset #4, thereby offering interesting pathogenetic hints. Disclosures No relevant conflicts of interest to declare.

Abstract Introduction: We demonstrated that elevated levels ofcirculating microvesicles (MV) in CLL activate CLL bone marrow stromal cells (BMSCs) with resultant enhanced vascular endothelial growth factor (VEGF) production, a pro-survival factor for CLL B-cells (Ghosh 2009 Blood 113:5568-74). We also detected a phenotypic shift from predominantly platelet/megakaryocyte-derived MV (CD61+) in early stages towards a more leukemic B-cell derived MV (CD19+) in advanced Rai stages (Ghosh 2010 Blood 115:1755-64). These observations suggest that the MV parameters of their levels and surface phenotypes may predict or be associated with the clinical outcome and/or therapeutic response in a given CLL patient. In this study we therefore designed an approach to being to assess these latter possibilities in regard to MV in CLL. Methods: In vitro stimulation – Purified CLL B-cells were stimulated in vitro using CpG oligonucleotide (n=10) or anti-IgM antibody (n=10) for 72 hours. MV were isolated from the used media, levels measured and then phenotyped by flow cytometry (BD Canto-I) using standard TRUCount beads (BD Biosciences). In vivo (plasma) work – MV were isolated from normal plasma (n=5) or plasma of 17 CLL patients entered onto a previously reported Pentostatin, Cyclophosphamide, Ofatumumab (PCO) clinical trial at their entry to the trial and at 6-months after therapy and then sequentially over a period of 18 months (Shanafelt 2013 Cancer 119:3788-96). We determined the phenotypes and plasma levels of MV as described above. Results Phenotypes of in vitro generated MV: We found that, for the most part, CLL B-cells shed MV upon in vitro stimulation however; some CLL B-cells of unmutated IGHV status, but not mutated status, spontaneously generated MV in culture (Fig. 1). Most interestingly, we found that the surface phenotype of MV generated from CLL B-cells carrying predominantly the CD52 surface marker, not the CD19 or CD5 marker. Interestingly, none of the in vitro generated MV was CD20+, another known marker of CLL B-cells. We found similar phenotypes of the in vitro generated MV by stimulating two different signaling pathways, Toll-like receptor and BCR, in CLL B-cells. Together these results suggest that CLL B-cells generate predominantly CD52+ MV, but not CD19 or CD5, upon in vitro stimulation. MV phenotypes in pre- and post-therapy CLL plasma: Here we focused on the kinetics of MV levels and phenotype in relation to disease outcome for PCO treated CLL. Thus, we found total MV levels were elevated in all patients compared to normal plasma at entry to the PCO trial and then dropped substantially after therapy when compared to the trial entry. Also most CLL patients (n=11) continued to maintain low plasma MV levels until the end of the follow up period (18 months). Interestingly, in a few cases (n=6) total plasma MV levels decreased initially after therapy but then started to rise. These patients are now being followed for disease status in order to determine if rising MV levels are related to a disease relapse. Of interest on flow phenotyping the plasma MV obtained at entry to the PCO trial we detected predominantly CD52+ MV but not CD19+ MV, similar to the findings of the in vitro MV generated from CLL B-cells. Normal plasma (n=5) does not contain significant levels CD52+ MV or CD19+ MV. Together these results suggest that the malignant B-cells shed preferentially CD52+ MV, but not CD19+ MV. We are currently analyzing the MV levels and phenotypes pre- and post-therapy response levels in relation to the patients’ response to therapy in a larger cohort of treated CLL patients (n=60). Conclusion: Current understanding about the phenotypes of MV is based on the concept that MV carry the unique surface marker of the originator cells, e.g., CD19 on B-cell derived MV. However, findings from our in vitro stimulation studies demonstrate that the CD52 but not CD19 is preferentially expressed on CLL B-cell derived MV. We are currently studying the mechanism for such a preferential surface expression on these leukemic derived MV. To our knowledge, this is the first report describing that CLL B-cells generate preferentially CD52+ MV. Our studies are now committed to a more extensive analysis of MV parameters in association with CLL disease progression, depth of clinical response and if the elevation of plasma MV heralds a relapse in responding patients. Figure 1 Figure 1. Disclosures Shanafelt: Genentech: Research Funding; GlaxoSmithKline: Research Funding; Celegene: Research Funding; Cephalon: Research Funding; Pharmacyclics/Jannsen: Research Funding; Hospira: Research Funding; Polyphenon E Int'l: Research Funding. Kay:Genetech: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 873 Introduction: Clonal chromosomal anomalies have been well-characterized in the blood cells of patients with Chronic Lymphocytic Leukemia (CLL) and other hematological malignancies. However, the frequencies and types of chromosomal anomalies found in “normal” people (i.e. no history of hematological cancer) are much less well known. Here we compare chromosomal anomalies in untreated CLL patients with those found in a large sample of people (n>50,000) recruited for genome-wide association studies in the Gene Environment Association Studies (GENEVA) consortium. This comparison provides information about the extent to which people without a prior history of hematological cancer have chromosomal anomalies that are characteristic of CLL. Methods and Results: The anomaly detection method focused on acquired, rather than inherited, chromosomal anomalies identified in whole blood samples. The method and results for the GENEVA subjects were published recently (Laurie et al. 2012, Nat. Gen. 44:642–650). The same method was applied to pre-treatment samples from 220 CLL patients from US Intergroup Trial E2997 of the Eastern Cooperative Oncology Group (ECOG). Acquired anomalies were detected as mosaic mixtures of normal disomic cells along with cells containing autosomal anomalies consisting of large (generally > 1 Mb) deletions, duplications and/or acquired uniparental disomy (UPD). Detection requires a large fraction of cells with the same abnormal karyotype (>5–10%), which is presumably of clonal origin. The subjects (of all ages) came from 12 different GENEVA studies, which addressed a variety of health conditions not directly related to hematological cancer (e.g. addiction and glaucoma). DNA was extracted mainly from blood samples (or, in 8% of subjects, from buccal/saliva samples) and genotyped on Illumina SNP mircroarrays. Clonal mosaic anomalies were detected from change points in intensity and genotype data (B Allele Frequency and Log R Ratio). We found 514 anomalies in 404 GENEVA subjects out of 50,222 examined (0.8% of subjects), although the prevalence increased with age. Clinical data from about 75% of subjects with a clonal chromosomal abnormality revealed that only a small fraction (2.8%, 95% CI=1.0 – 4.7%) had a record of prior hematological cancer. In the ECOG study, blood samples from 220 CLL patients enrolled in protocol E2997 were genotyped on the Illumina HumanOmni1-Quad_v1 array and clonal mosaic chromosome anomalies were detected using the GENEVA method. Chromosomal anomalies typical of CLL also were identified using interphase FISH (i.e. 6q23.3-, 11q22-, 12q15+, 13q14-, 17p13-) as previously reported (Grever, JCO 25:799-804). We found 489 anomalies in 148 patients of the 220 examined (67% of patients). The anomalies detected by FISH and SNP microarray were highly concordant (>98%). Although, the most common recurrent anomalies occurred on chromosomes 6, 11, 12, 13 and 17 in regions that span the FISH probes (except for chromosome 6), a majority of the anomalies detected by SNP data (74% of 489) were not detected by the CLL FISH panel. The frequency of large chromosomal anomalies was much higher in CLL patients than in GENEVA (67% versus 0.8% of subjects) and the overall composition of anomaly types found was also different. The fraction of anomalies consisting of acquired UPD was substantially higher in GENEVA subjects than in ECOG (34.0% versus 10.6%), while deletions were less common in GENEVA (50.1% versus 72.4%) and duplications were similar (15.6% versus 17.0%) (Chi-squared test p-value=3 × 10−18). We compared the most commonly deleted regions (CDR) on each chromosome across studies. In the ECOG CLL patients, four chromosomes each had 10 or more overlapping deletions in their top CDR (6, 11, 13 and 17), which span the FISH probes (except for chromosome 6). The GENEVA subjects also had CDR on chromosomes 11, 13 and 17, which overlap those in ECOG. In addition, GENEVA had CDR spanning genes or regions implicated in myeloid malignancies, including DNMT3a on 2p, TET2 on 4q, PRAME on 22q, and a region on 20q13. Conclusions: These genotyping results of >50,000 subjects suggest clonal chromosomal anomalies may represent precursor states, or perhaps undiagnosed or unrecorded cases, of a variety of hematological malignancies. Further studies to validate these findings and explore the natural history of these genetic defects in individuals without hematologic malignancy are warranted. Disclosures: Shanafelt: Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding.

Abstract Abstract 4252 Background: Multiple recent studies have demonstrated the survival benefits of reduced intensity allogeneic stem cell transplant for high risk CLL patients. These transplant series, however, represent highly selected cases where age, co-morbidities and performance status preclude transplant in many patients with CLL. The portion of newly diagnosed CLL patients that are eventually considered for transplant is unknown, as well as the proportion that are referred for transplant evaluation; the proportion that actually receive stem cell transplant, and the reasons for not pursuing transplant in referred patients. We conducted a cohort study of newly diagnosed CLL patients to address this gap in knowledge. Methods: We used the Mayo Clinic database to identify all patients with newly diagnosed CLL seen at Mayo Clinic within 1 year of diagnosis between July of 2003 and May of 2011 (time interval during which reduced intensity allogeneic stem cell transplantation was part of routine care at Mayo Clinic). Electronic medical record and laboratory studies were reviewed to identify all patients referred for stem cell transplant evaluation (either allogeneic transplant for progressive CLL or autologous stem cell transplant for Richter's transformation). Patients referred for transplant were analyzed to determine what proportion completed transplant and, for those who were not transplanted, the reason they were not transplanted (e.g. lack of insurance approval, co-morbidity, lack of a donor, inadequate disease control, death prior to transplant or patient preference). Results: A total of 1250 patients with newly diagnosed CLL between July 2003 and May 2011 who were seen at Mayo Clinic within 1 year of diagnosis were identified. The mean age at diagnosis was 63.6 yrs and 34.2% were women. With respect to disease stage, 48.7% were Rai stage 0, 45.5% Rai stage I/II, and 5.8% Rai stage III/IV. CLL FISH analysis revealed 126 (13.6%) patients who had either del (17p) or del (11q) and 801 (86.4%) patients who had other FISH abnormalities or normal FISH results. After a median follow-up of 41 months, 425 (34%) of patients have received treatment. A total of 54 patients (4.3%) were referred for a transplant evaluation during follow-up. Of these 54 patients, 48 (3.8% overall cohort) were referred for consideration of allogenic transplant for treatment of progressive CLL and 6 (0.5%) were referred for autologous transplant for treatment of Richter's transformation. Baseline characteristics associated with subsequent transplant referral included age at diagnosis (median: 56 yrs) (p &lt; 0.0001, Odds Ratio (OR) for each year older = 0.91, 95% Confidence Interval (CI)=(0.88, 0.95)), Rai stage (III/IV vs. 0) (p = 0.0002, OR = 22.7, 95% CI=(5.1, 102.4)) and FISH (del(11q), del(17p) vs Normal, del(13q) or Trisomy 12) (p &lt; 0.0001, OR = 7.3, 95% CI=(3.3, 16.1)). Gender, Rai stage (I/II vs. 0), and patient residence (local vs. not local) were not significant. Among the 54 patients referred for transplant, 28 (51.9%) completed a transplant. This included 22 (45.8%) patients referred for allogenic transplant and 6 (100%) patients referred for autologous transplant. Among the 26 patients referred who did not undergo transplant, the principal reasons were patient preference (n = 6, 23.1%), patient still being evaluated for transplant as of the study end date (n = 6, 23.1%), alternative therapy chosen (n = 5, 19.2%), inadequate disease control (n = 3, 11.5%), death prior to transplant (n = 3, 11.5%), lack of insurance approval (n = 2, 7.7%), and lack of a donor (n = 1, 3.8%). Conclusion: 4.3% of the newly diagnosed CLL patients in this series were considered for stem cell transplant at some point during follow-up. Young age, high Rai stage and high risk FISH abnormalities are principal reasons for transplant referral. Only 51.9% of those considered for transplant completed transplant. The principal reasons for referral patients not completing transplant who had adequate time to follow were patient preference, alternative therapy, inadequate disease control and death prior to transplant. The remaining 6 patients (23%) are in process of transplant evaluation with longer follow required. These analyses provide first incidence data for CLL transplant referral in a cohort of newly diagnosed patients. Disclosures: Zent: Biothera: Research Funding; Genzyme: Research Funding; Genentech: Research Funding; Novartis: Research Funding; GlaxoSmithKlime: Research Funding. Shanafelt:Celgene: Research Funding; Teva/Cephalon: Research Funding; GlaxoSmith Klein: Research Funding; Genentech: Research Funding; Hospira: Research Funding; Polyphenon E International: Research Funding.

Abstract Abstract 3871 Background. A number of investigators have provided data supporting the value of CD49d expression on B leukemic cells in chronic lymphocytic leukemia (CLL) as independent prognostic variable. These studies used a variety of clinical end points including overall survival (OS), time to treatment (TTT) or treatment free survival (TFS). The factors included in multivariate analyses of these studies also differed. Unresolved issues regarding the prognostic value of CD49d assessment in CLL included the choice of the optimal cut-off to define positivity and CD49d prognostic value in patients subsets defined by other standard prognostic factors. Aim. To perform meta-analysis using individual patient level data from studies of CD49d expression to evaluate its ability to predict OS (primary end-point) and TTT/TFS (secondary end-point). Methods. Studies published by 30 April 2011, reporting an association of high CD49d expression on B CLL cells, measured by flow cytometry, and end-points were identified by Medline search. Additionally, we performed a manual review of abstracts presented at the congress of the American Society of Hematology from 2006 to 2010. CD49d was used as a categorical variable, as coded in original studies. Results. We identified 6 published studies and one abstract for inclusion. All authors agreed to provide individual data on the patients in these publications as well as unpublished data on additional patients to be used for replication analysis. Four authors also submitted updated follow-up data. We collected the following variables: date of diagnosis, OS, TTT/TFS, CD49d, CD38, ZAP-70, immunoglobulin mutational (IGHV) status, del17p and del11q chromosomal aberrations, age, stage, ALC, and β2 microglobulin concentration. Data from 3146 individual patients was available with 261 subsequently excluded due to missing end point and/or CD49d data. Of 2771 patients with valid data, 1405 (51%) were included in the previous publications and 1366 (49%) were unpublished. Before starting analyses a decision was made to perform meta-analysis on published data and use data from previously unpublished data as a validation cohort. Pooled CD49d hazard ratio for OS was 2.62 (1.88–3.64). In bivariate analysis, the prognostic value of CD49d was confirmed and of comparable value in patients subsets defined by CD38 and ZAP-70 expression, IGHV status, unfavorable chromosomal aberrations. Finally, we performed a multivariate analysis including CD49d, CD38, ZAP-70, IGHV status, del17p and del11q. CD49d was significantly associated with shorter overall survival in this adjusted model, with a hazard ratio of 2.47(1.17–5.21). Inspection of Martingale residuals plots of CD49d in each study failed to show a recognizable cut-point. CD49d cut-points previously adopted in published studies (30% and 45%) were subjected to validation in the cohort of 1366 unpublished patients. The Cox model with 45% cut-off had a slight greater hazard ratio (2.73 vs 2.65, log-rank p<0.0001). Only 4% of patients changed prognostic category after swapping the cut-off from 45% to 30%. Conclusions. Preliminary results of a meta-analysis using individual patient data from >1400 patients confirm the association of high CD49d expression with short OS independent of other prognostic parameters. While the 45% cut-off has a marginal better prognostic power, the 30% cut-off has the advantage of being already in use for CD38 and generally adopted for other surface antigens in chronic leukemia immunophenotyping. These findings may have implication for patient's stratification in future prospective studies and potential therapeutic efforts to target CD49d or CD49d signaling. Disclosures: Shanafelt: Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding. Burger:Pharmacyclics: Consultancy, Research Funding.

Abstract Abstract 3927 PURPOSE: CLL B-cells interact with their microenvironment in a variety of ways that influence leukemia cell survival. Contact mediated interactions are the most widely studied. More recently, bidirectional cytokine mediated interactions have been found to modulate spontaneous and drug induced CLL B-cell death. Specifically, upregulation of CCL2, CCL3, and CCL4 are found when CLL B-cells are co-cultured with various accessory cells. We set out to more comprehensively profile the effect of CLL-stromal cell co-culture on immune cytokine regulation and to evaluate the effect of novel therapeutic agents in clinical testing for patients with CLL on these interactions. METHODS: Freshly isolated CLL B-cells (n=24) were cultured in AIM V media for 24 hours alone or in direct contact with HS-5 stromal cells. HS-5 cells were cultured alone in AIM V to determine basal level of immune cytokine secretion. Immune cytokine levels in the media under these 3 conditions (CLL alone; HS5 alone; co-culture) were assessed using multiplex cytokine arrays (Invitrogen). The protective effects of the 6 most highly upregulated cytokines on spontaneous apoptosis of CLL B-cells after 7 day culture were then examined by culturing leukemic cells with and without recombinant cytokines. The effect of sub-lethal doses of the PI3K inhibitor CAL-101, the AKT inhibitor MK2206 and the Bruton's Tyrosine Kinase inhibitor PCI-32765 were examined. To compare the effect of these drugs to a more conventional chemotherapeutic agent, we evaluated fludarabine (F-Ara-A) under the same conditions. To explore the ability of these novel agents to overcome stromal rescue, CLL B-cells pre-exposed to bendamustine (BEN) were cultured in media alone, or in direct contact with stroma with and without sub-lethal doses of CAL-101, MK2206, or PCI-32756. Leukemic cell viability was assessed by flow cytometry using annexin/PI staining. RESULTS: Six cytokines increased ≥4 fold (e.g. >400%, all p<0.0001) on coculture relative to the expected additive value of individual cultures. Consistent with previous reports, (Schulz 2011; Burger 2009) CCL3 and CCL4 were found to have the greatest upregulation (both >20 fold the additive value). The other highly upregulated cytokines detected have not been previously reported to be influenced by coculture: IL12 (15 fold additive value), IL1β (11 fold additive value), TNF-α (11 fold additive value), and IL-1RA (4 fold additive value). Although transwell experiments (n=6) suggested upregulation of these cytokines was largely contact dependent, substantial upregulation of several cytokines still occurred without direct contact. Each of the 6 most upregulated cytokines reduced spontaneous apoptosis when CLL B-cells were cultured for 7 days in media plus recombinant cytokine. When CLL B-cells and HS-5 cells were co-cultured with CAL-101, MK-2206, or PCI-32765, the effects on cytokine secreted upregulation were cytokine and drug specific (e.g. one drug affected individual cytokines differently; different drugs affected different cytokines). For example, PCI-3276 and CAL-101 had similar affects on the upregulation of CCL3 and CCL4 on co-culture but opposite effects on TNF-α and IL-1β. In contrast, F-Ara-A had minimal effect on upregulation of any of these 6 cytokines. Finally, we evaluated the ability of these novel agents to overcome stromal rescue of CLL B-cells treated with conventional chemotherapeutic agents. At sublethal doses CAL-101, MK2206, PCI-32765 each significantly overcame stromal rescue of BEN exposed CLL B-cells. (Fig.1) CONCLUSIONS: Direct physical interaction of CLL B-cells with bone marrow stromal cells resulted in profound upregulation of multiple immune cytokines. The 6 most upregulated cytokines identified in these experiments all reduced spontaneous apoptosis of CLL B-cells on extended culture. Sublethal doses of the PI3K inhibitor CAL-101, the AKT inhibitor MK2206, and the Bruton's Tyrosine Kinase inhibitor PCI-32765 had distinct effects on stromal cell mediated cytokine upregulation. Importantly, each of these 3 drugs also overcame stromal mediated rescue of BEN exposed CLL B-cells. These in vitro findings support the ongoing clinical trials of BEN in combination with CAL-101 (ASH 2011), PCI-32765 (ASCO 2012) or MK2206 (Ding et. al., unpublished observation). Disclosures: Kay: Celgene: Research Funding. Shanafelt:Celgene: Research Funding; Hospira: Research Funding; Cephalon: Research Funding; Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Polyphenon E International: Research Funding.

Abstract Abstract 669 Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in the Western world but its pathogenesis remains largely unknown. More recently, a widely prevalent premalignant condition termed monoclonal B cell lymphocytosis (MBL) has been defined and similarly involves expansion of a CD19+CD5+ population of B cells. MBL has been the focus of a wide number of recent studies in hopes it can provide insight into the early pathological events that lead to clonal expansion of a pre-leukemic CLL-like clone. Previously, we and others identified the transcription factor lymphocyte enhancer-binding factor-1 (LEF-1) as one of several genes significantly over expressed in CLL B cells relative to blood CD19+ B cells from healthy adults. LEF-1 is crucial for the proliferation and survival of pro-B cells during B cell development and deregulated LEF-1 activation has been directly linked with leukemogenesis in a transgenic murine model. In the present study, we addressed three critical questions concerning LEF-1 and CLL: 1) do CD5+ normal B cells express LEF-1; 2) at what stage of transformation does LEF-1 expression first appear; and 3) what mechanism(s) underlies LEF-1 expression in leukemic B cells. Methodology: The goals of our study were to: 1) determine the LEF-1 expression status of normal CD 19+/CD5+ human B cells; 2) determine the expression status of LEF-1 in clonal B cells present in patients with MBL; and 3) identify regulatory mechanisms that control aberrant expression of LEF-1 in CLL B cells. In order to achieve the first two goals, a 3-color flow cytometry assay for CD19, CD5, and intracellular LEF-1 was developed. To achieve the third goal, we performed in silico analysis of the LEF-1 locus and correlated this with publicly available genome wide methylated CpG island recovery assay (MIRA) data describing the methylome of normal human B cells (Rauch, T. A. Proc Natl Acad Sci U S A. 2009; 106(3): 671-8). Results: Analysis of human umbilical cord blood B cells, a rich source of the CD19+/CD5+ B cell subset, revealed that all normal CD 19+/CD5+ human B cells are negative for LEF-1 protein expression. These data demonstrate LEF-1 expression by CLL B cells is truly aberrant and does not simply reflect the phenotype of CD5+ lineage B cells. We next tested if the CD19+/CD5+ cells obtained from patients with MBL express LEF-1 protein. In these analyses, we restricted our study to MBL patients with absolute B cell counts of less than 2.5 ×10 9 cells/(L) (range: 0.756 - 2.44 × 10 9 cells/(L)), which is significantly below the upper limit that defines the MBL to CLL transition. Of interest, each MBL sample analyzed (n=6) revealed the presence of two populations of cells: 1) CD19+/CD5+ B cells expressing LEF-1; and 2) CD19+/CD5- B cells lacking expression of LEF-1. To confirm the clonal nature of the CD19+/CD5+ cells from MBL patients we demonstrated that the cells were light chain restricted. These data clearly indicated that LEF-1 expression becomes deregulated in the premalignant state of MBL and may therefore represent an early event in CLL leukemogenesis. In order to identify differential pathways of LEF-1 regulation that may be altered in CLL and MBL B cells, in silico promoter analysis of LEF-1 was performed. We identified a number of potential transcription factor binding sites as well as a putative CpG island in the 5' promoter region of LEF-1. Using data from a human B cell genome wide methylation array, we were able to determine that this same putative LEF-1 promoter CpG island was highly methylated in normal human B cells. Methylation of promoter region CpG islands is known to play an important role in developmental regulation of gene expression and may be the operative mechanism underlying silencing of LEF-1 expression in normal B cells. Conclusions: LEF-1 expression is deregulated in MBL and appears to be an early and possibly key event in the transition of normal B cells into a premalignant/malignant state. Our data suggest that loss of epigenetic regulation of this developmentally important locus may play a role in aberrant LEF-1 expression in MBL and CLL B cells. Ongoing studies are aimed at determining the methylation status of the LEF-1 promoter in CLL B cells and the functional role of this protein in transcriptional regulation and survival of CLL and MBL cells. Disclosures: No relevant conflicts of interest to declare.