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Abstract Background: Smudge cells are ruptured CLL cells seen on blood smears of CLL patients. For over a century, smudge cells were thought to represent an artifact of slide preparation. We recently showed that smudge cell formation was inversely proportional to leukemic B cell vimentin content. Vimentin is a cytoskeletal protein critical for lymphocyte rigidity and migration; high vimentin content is related to poor prognosis in CLL. Concordantly, in an initial small cohort of patients from a single institution, we found that patients with a low (<30%) percentage of smudge cells on a blood smear have a shorter time to treatment (Mayo Clin Proc.2007;82:449–53). In the current study, we evaluated the impact of smudge cell percentage on prognosis of patients with CLL seen at member institutions of the CLL Research Consortium (CRC). Methods: Archived blood smears from untreated patients with CLL were evaluated for smudge levels. All blood smears were prepared manually in a standard fashion from blood obtained by CRC Tissue Core and stained with WrightGiemsa stain. Smudge cells were defined as broken cells with no intact cytoplasm and a disrupted nuclear membrane. A total of 200 lymphocytes and smudge cells were counted on each slide and the results were expressed as the percent smudge cells. The association between the percentage of smudge cells, prognostic factors (IgVH status, CD38, ZAP-70 and FISH) and time to initial therapy (TTT) was examined. Results: We calculated smudge cell percentage on blood smears obtained prior to treatment for 337 CLL patients. The median smudge cell percentage was 32 (range 2–95%). The percentage of smudge cells was lower in CD38 positive patients (mean 33% vs. 38% in CD38 negative patients, p=0.04). No difference in smudge cell percentage was observed based on IgVH gene mutation status or Zap70 expression. Smudge cell percentage as a continuous variable was associated with prolonged TTT, exponential coefficient 0.98, p=0.04. Using our previously published cutoff of 30% to stratify patients in low and high risk categories, the estimated median time to first therapy of patients with smudge cell percentage ≤30% (n=178) was 7.8 years versus not reached in patients in patients with > 30% (n=159) of smudge cells, p=0.0036, (Figure 1). Ten years from diagnosis, 62% of patients with ≤30% of smudge cells versus 39% of patients with >30% of smudge cells required therapy. In multivariate analysis, the low percentage of smudge cells (≤30%) was an independent predictor of the shortened time to treatment (HR 1.86, 95%CI 1.09–3.16, p=0.02). Conclusion: This multicenter study confirms our initial finding that the percentage of smudge cells on a blood smear is an independent predictor of clinical outcome in patients with CLL. The estimation of smudge cell percentage on routine blood smear provides a simple and inexpensive prognostic test available to nearly all patients with a diagnosis of CLL worldwide. It also allows reanalysis and risk stratification of previously completed trials provided that blood smears have been archived. Further studies of the role of the cytoskeleton in CLL biology are warranted and ongoing in our laboratory. Figure Figure

Abstract Background: Peripheral neuropathy (PN) is associated with multiple myeloma (MM) and often worsened with thalidomide (THAL) and vincristine (VCR) therapy. Bortezomib (BTZ) is a proteasome inhibitor approved for the treatment of MM that has been also shown to cause PN. An increased risk of BTZ-induced PN has been associated with the presence of both PN and diabetes mellitus (DM) before treatment. However, the incidence and characteristics of BTZ-induced PN among MM patients (pts) retreated with another BTZ-containing regimen is unknown. We analyzed the incidence, severity and risk factors for PN after treatment of MM pts with a second BTZ-containing regimen. Methods: Retrospective chart analysis. MM pts that had progressed from at least one prior BTZ-containing regimen and had received treatment with another BTZ-containing regimen were eligible. Pts had to have experienced PN during the course of the first BTZ regimen and could not have received therapy with THAL or VCR. The protocol was later amended to allow inclusion of pts without PN during their first BTZ treatment and those who had received THAL or VCR. Statistical significance was assessed using Fisher’s or McNemar’s tests as appropriate. The relationship between comorbidities, prior THAL or VCR treatment and PN grade after BTZ treatment and re-treatment was analyzed using a multivariate logistics regression model. All statistical analyses were two-sided and were performed at the 0.05 level of significance. Results: As of July 3, 2014, 83 pts have been accrued to the retrospective analysis, and 58 chart reviews have been completed. The median age of pts included in the analysis was 64 years (range: 31-84 years); 57% of the pts were male and 69% were Caucasian. Pts had received a median of 2 prior regimens (range: 2-10); 43% of the pts had received prior regimens containing THAL and 15% of those had also received therapy with VCR. Prior to the protocol amendment, the eligibility criteria required pts to have experienced PN after the first BTZ treatment; therefore, most pts included in this analysis (88%) had PN.During their first BTZ treatment, the most severe grade of PN experienced by the majority of the pts was grade 1 (N=34), followed by grade 2 (N=13) and grade 3 (N=4). A comparison of the symptoms assessed when pts had their most severe grade of PN during this treatment and the severity reported at its onset showed that PN worsened in only 16% of pts. Nearly half (48%) of pts showed no change in PN whereas symptoms improved or resolved in 15% and 9% of the pts, respectively. During treatment with the second BTZ-containing regimen, a comparable proportion of pts (N=44; 76%) reported having experienced PN. Among those experiencing PN upon re-treatment, the most severe grade of PN experienced by the majority of the pts (N=29) was also grade 1, followed by grade 2 (N=12) and grade 3 (N=3). During the second BTZ treatment, a comparison of the symptoms that pts had when PN was at its worst and those recorded at its onset demonstrated that PN worsened in only 7% of the pts. PN showed no change in 47%, improved in 15%, or resolved in 7% of the pts.Interestingly, 17% of the pts (N=10) who had reported PN while receiving their first BTZ-containing regimen did not report this complication during their second BTZ treatment, while 7% of the pts (N=4) experienced PN only upon re-exposure. There was no association between the incidence of PN during the first BTZ treatment and its incidence during re-treatment (p=0.1213) or between the severity of PN (defined as worsening vs. not worsening) after first BTZ treatment and its severity after BTZ re-exposure (p=0.1306). Fifty-four percent of the pts presented with comorbidities, including DM (26%), hypertension (HTN, 22%) and peripheral vascular disease (PVD, 13%). There were no associations between PN grade after BTZ treatment and prior THAL or VCR exposure (p=0.5569) or between PN grade and comorbidities (DM, p=0.6657; HTN, p=0.9966; PVD, p=0.9966). Similar results were found for BTZ re-exposure (THAL or VCR, p=0.8672; DM, p=0.4137; HTN, p=0.2033; PVD, p=0.9954). Conclusions: Results from this retrospective study show that the severity and incidence of PN did not change with a second BTZ-containing regimen. Comorbidities or prior therapy with other PN-inducing agents such as THAL or VCR did not significantly increase the risk of PN after BTZ re-treatment. Enrollment into the study continues and updated results will be presented at the meeting. Disclosures Berenson: Millennium: Consultancy, Honoraria, Research Funding, Speakers Bureau. Tabbara:Millennium: Speakers Bureau. Lutzky:Millennium: Speakers Bureau. Ailawadhi:Millennium: Consultancy. Moezi:Millennium: Speakers Bureau.

Abstract Background: Chronic GVHD contributes to morbidity and mortality after allogeneic transplantation. Several phase 2 and 3 open label studies suggested that ATLG (formerly referred to as ATG-F) reduces cGVHD without impacting relapse or survival. This report describes the first prospective randomized double blind phase 3 trial to assess the effect of ATLG (Neovii) when added to tacrolimus / methotrexate prophylaxis on cGVHD free survival. Patients and Methods: This study was conducted at 27 sites in the United States and Australia. 260 patients were randomized (132 placebo, 128 ATLG). 6 patients who were randomized never received ATLG/placebo (4 placebo and 2 ATLG). Data presented include the 128 placebo and 126 ATLG patients who underwent treatment and transplant. Patients were ages 18-65 years with a diagnosis of acute myeloid (AML, 64%) or lymphoblastic (ALL, 21%) leukemia in first or subsequent complete remission or myelodysplastic syndrome (MDS, 15%) with less than 10% marrow blasts. Median age was 48 years (18-65) with 55% males. All patients received 8/8 HLA (A, B, C, DR) allele matched unrelated products (80% mobilized peripheral blood, 20% bone marrow). Myeloablative conditioning was with cyclophosphamide and total body irradiation (Cy/TBI, 27%), busulfan and cyclophosphamide (Bu/Cy, 33%), or busulfan and fludarabine (Bu/Flu, 40%). All patients received tacrolimus starting on Day -1 and standard mtx on days 1, 3, 6, and 11 for GVHD prophylaxis. Patients received ATLG or placebo on Days -3, -2, -1 at an ATLG dose of 20 mg/kg per day (60 mg/kg total). The primary endpoint of the study was moderate/severe chronic GVHD free survival. cGVHD was scored by the investigator and then confirmed or overturned by an independent adjudication committee. Secondary endpoints included engraftment, acute GVHD , moderate/severe cGVHD, non-relapse mortality, GVHD and relapse free survival (GRFS), progression free (PFS) and overall survival (OS). The impact of ATLG on immune reconstitution was assessed in 91 patients. Results: Treatment arms were balanced with respect to age, diagnosis, remission status, cytogenetics, graft source (PB or BM), CMV serostatus and conditioning regimen. Median follow up of survivors was 745 days (61, 1425). Regarding the primary endpoint, there was no difference in 2 year moderate/severe cGVHD free survival between ATLG and placebo (48 vs 44%, p = 0.57), nor was there a difference in GRFS (Table 1). Neutrophil engraftment at Day 30 was less in the ATLG arm (85% vs 95%, p=0.00001). Grade 2 or higher infusion reactions were higher in the ATLG arm (16% vs 2.3%, p=0.0001). Reactivation of CMV was similar (27% vs 31%, p=0.58). The Day 180 cumulative incidence of grades 2-4 acute GVHD was lower in the ATLG arm (23 vs 40%, p = 0.003) as was the 2-year cumulative incidence of moderate/severe cGVHD (12 vs 33%, p = 0.000006). However, both 2-year OS and PFS were lower in ATLG treated patients (58 v 76% and 47 vs 67%, respectively) due in part to a higher incidence of relapse (32 vs 19%, p=0.068). Multivariable models confirmed that ATLG was associated with inferior OS, HR 1.85 (1.1-2.9, p=.0075) and PFS, HR 1.63 (1.1-2.41, p=0.015). We then conducted an unplanned post-hoc analysis and discovered a striking influence of conditioning regimen on outcomes. There were no differences in OS or PFS between ATLG and placebo arms in patients receiving Bu/Cy or Bu/Flu but a dramatic difference in patients receiving Cy/TBI conditioning (OS, 88% vs 48% p =0.006 and PFS, 75 vs 29%, p=0.007 in placebo and ATLG arms, respectively). 91 patients (44 ATLG, 47 placebo) participated in the immune reconstitution study. ATLG treatment was associated with lower CD3, CD4, and CD8 counts at Days 30, 100, and 360, respectively. In turn lower CD3, CD4, and CD8 counts assessed as time dependent variables were all associated with inferior OS and PFS as well as higher NRM (data not shown). Conclusion: In this first ever prospective, randomized, double blind trial of ATLG added to tacrolimus /methotrexate in recipients of matched unrelated donor grafts after myeloablative conditioning, there was no significant difference in 2 year moderate/severe cGVHD free survival or GRFS. ATLG did significantly reduce grades 2-4 acute and moderate/severe chronic GVHD. However, overall survival was higher in the placebo arm, driven mainly by patients who received Cy/TBI conditioning. Further analyses are needed to understand the proper role for ATLG in HCT. Disclosures Soiffer: Juno: Membership on an entity's Board of Directors or advisory committees; Kiadis: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Porter:Genentech: Employment; Novartis: Patents & Royalties, Research Funding. Jagasia:Therakos: Consultancy. Szer:Alnylam: Honoraria, Membership on an entity's Board of Directors or advisory committees; Ra Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion Pharmaceuticals, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees. Ritz:Kiadis: Membership on an entity's Board of Directors or advisory committees. Glavin:Neovii Biotech: Employment. Chen:Incyte Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding.

Abstract The anti-CD20 monoclonal antibody rituximab (R) is widely used to treat B-cell malignancies including follicular lymphoma (FL). A better understanding of activity and resistance mechanisms is necessary for improving treatment outcomes. We previously reported that genetic variants in the complement pathway are associated with event-free survival of FL patients following R therapy. This correlation was particularly high for SNP rs3766404, located in intron 6 of Complement Factor H (CFH). Subjects with the minor allele of this SNP experienced inferior event-free survival. Five CFH related proteins (CFHR1-5) share a similar and sometimes overlapping function with CFH, including suppression of complement activation. Genetic variations within the CFH family locus are linked to a variety of complement-mediated disorders such as age-related macular degeneration (AMD) and atypical hemolytic uremic syndrome. Interestingly, AMD patients with the minor allele of rs3766404 frequently have deletion of CFHR3 and CFHR1, suggesting that loss of these proteins functionally impacts complement regulation. The current studies were designed to better understand the relationship between R therapy of FL and CFH family proteins. CFH and CFHR1 protein levels were quantified in serum samples from both normal subjects (n=59) and FL (n=108) subjects from the Iowa/Mayo Lymphoma SPORE Molecular Epidemiology Resource. No correlation was observed between the quantity of CFH in serum and SNP genotype in either cohort. However, in both cohorts, individuals homozygous for the minor allele in SNP rs3766404 lacked detectable expression of CFHR1. Homozygotes for the major allele expressed the highest levels of CFHR1, and heterozygotes expressed intermediate levels. Among FL subjects treated with R as a component of initial therapy, increased levels of CFHR1 were associated with improved event-free survival (hazard ratio 0.48, 95% confidence interval 0.28-0.82, p=0.0051). In contrast, CFHR1 levels had no impact on outcome among the FL subjects who did not receive R as a component of initial therapy. This subset of FL subjects included those observed off therapy. The effect of CFHR1 levels on outcome for those subjects treated with R versus those not treated with R was statistically different (p=0.0023 based on a Cox proportional hazard model). There was no correlation between CFH levels and outcome in any population. CFHR1 binds the complement component C3b, inhibiting downstream complement activation. We previously demonstrated that complement can inhibit R activity in vitro. Specifically, C3b deposition can have a negative impact on antibody–mediated tumor cell killing by interfering with R-induced NK cell activation and antibody dependent cellular cytotoxicity. Our current finding that higher CFHR1 correlates with improved outcome following R therapy provides further evidence that the effect of complement on therapeutic monoclonal antibodies is complex. These findings may have implications for predicting response to, and optimization of, anti-CD20 and other antibody therapies. Ongoing studies are exploring this possibility in additional patient cohorts, the potential role of other CFH family members, and the underlying biology associated with these observations. Disclosures: Link: Genentech: Consultancy; Millenium: Consultancy; Pharmacyclics: Consultancy; Spectrum: Consultancy; Genentech: Research Funding; Millenium: Research Funding; Pharacyclics: Research Funding.

Abstract In chronic lymphocytic leukemia (CLL), it is recognized that germinal center experience by the cell-of-origin has an influence on the malignant phenotype and impacts clinical behavior. Measurement of the mutational status of the IGHV locus is a commonly used approach that subgroups patients according to this natural history. Other biomarkers correlating with these subgroups, such as ZAP70 expression and ZAP70 DNA methylation, are also used. Recently, we and others have found vast differences in global DNA methylation profiles among CLL cases that classifies distinct subgroups related to their natural history. Here we systematically evaluate various markers of natural history of the cell-of-origin for their ability to discriminate clinical outcomes. IGHV mutational status and ZAP70 expression are currently the most widely used prognostic markers of germinal center experience. These markers are generally concordant, with IGHV-unmutated associating with ZAP70 positivity. To compare their relative prognostic impact, we selected CLL cases from a large sample cohort collected as a prospective study maintained by the CLL Research Consortium that were discordant (IGHV-mutated and ZAP70(+) or IGHV-unmutated and ZAP70(-); n=192). We found a significant difference in time-to-first-treatment (TTFT; P=0.002) and overall survival (OS; P=0.032) between discordant groups, with curves separating according to IGHV as opposed to ZAP70 (Fig.1A). DNA methylation-based classification of CLL according to their natural history has not been compared to IGHV status. This classification strategy subgroups the majority of cases into low-programmed CLL (LP-CLL) or high-programmed (HP-CLL) subgroups that generally correlate with IGHV-unmutated/ZAP70(+) and IGHV-mutated/ZAP70(-), respectively, along with a minority of cases in an intermediate (IP-CLL) subgroup. We used our previously-described DNA methylation assay, based on MassARRAY interrogating 7 genomic loci including ZAP70, to group the 192 samples with discordant IGHV/ZAP70 results with 327 samples analyzed previously from the same cohort. DNA methylation (LP-CLL vs. HP-CLL) outperformed IGHV classification (unmutated vs. mutated) in terms of separating TTFT curves (n=432; LP-CLL vs. HP-CLL median difference=4.8 years, unmutated vs. mutated IGHV median difference=2.9 years) and OS curves (n=491; LP-CLL vs. HP-CLL median difference=12.9 years, unmutated vs. mutated IGHV median difference=6.8 years). To evaluate whether DNA methylation subgroups provide additional prognostic information to IGHV, we compared TTFT and OS within IGHV subtypes. We found that the ability of DNA methylation subgrouping to separate OS curves was maintained in the IGHV-unmutated subtype (P<0.001; Fig.1B) and TTFT in both IGHV-unmutated and mutated subtypes (P<0.001 and P=0.016, respectively). Conversely, IGHV subtypes did not significantly separate outcomes within DNA methylation subgroups (P>0.5 for all). Further investigation of the features of DNA methylation subgroups as defined revealed a strong bias in the frequency of several recurrent adverse prognostic somatic mutations. In particular 17p deletions and EGR2, SF3B1 and XPO1 mutations occurred frequently within the LP-CLL subgroup. We next explored whether the presence of each mutation correlated with clinical outcome within its corresponding DNA methylation subgroup, and found heterogenous results. EGR2 mutations separated TTFT in the LP-CLL subgroup (P=0.0009), but 17p, XPO1 and SF3B1 did not (P>0.3). This suggests that the cell-of-origin should be taken into account to accurately assess the clinical impact of somatic mutations. In summary, we demonstrate that among discordant cases for IGHV/ZAP70, IGHV appears to be a stronger prognostic factor for both TTFT and OS. When then evaluating the relative importance of DNA methylation subgrouping and IGHV status on TTFT and OS, we find that DNA methylation subgrouping is the more powerful prognostic factor. Among the markers of the cell-of-origin, DNA methylation is a strong tool for risk-stratifying patients and should be considered in development of risk prediction models. Figure 1. A) Kaplan-Meier analysis of TTFT of IGHV-mutated and ZAP70(+) versus IGHV-unmutated and ZAP70(-) (P=0.002, median difference=4.4 years). B) Kaplan-Meier analysis of OS in patients with unmutated IGHV separated by DNA methylation subgroup (P<0.001). Figure 1. A) Kaplan-Meier analysis of TTFT of IGHV-mutated and ZAP70(+) versus IGHV-unmutated and ZAP70(-) (P=0.002, median difference=4.4 years). B) Kaplan-Meier analysis of OS in patients with unmutated IGHV separated by DNA methylation subgroup (P<0.001). Disclosures Wierda: Acerta: Research Funding; Novartis: Research Funding; Gilead: Research Funding; Genentech: Research Funding; Abbvie: Research Funding. Brown:Infinity: Consultancy; Janssen: Consultancy; Gilead Sciences: Consultancy; Roche/Genentech: Consultancy; Celgene: Consultancy; Sun BioPharma: Consultancy; Pfizer: Consultancy; Abbvie: Consultancy. Kipps:Roche: Consultancy, Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Gilead: Consultancy, Honoraria, Speakers Bureau; Pharmacyclics, LLC, an AbbVie Company: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Research Funding.

Abstract Background: The proteasome inhibitor Bortezomib (BTZ) is an efficient treatment option for both, newly diagnosed and relapsed/refractory multiple myeloma (MM). Despite the effectiveness, most patients eventually acquire drug resistance for reasons not fully understood Materials and methods: To better understand BTZ resistance mechanism we used a CRISPR library (GeCKO V2) targeting 19052 human genes, trying to identify genes responsible for BTZ resistance. CRISPR sgRNAs targeting the ERN1-XBP1 pathway were used as positive controls. We first infected RPMI 8226 myeloma cell line expressing Cas9 with the CRISPR library packaged into lenti-vectors and selected for resistance to BTZ. Surviving cells were subjected to next generation sequencing. Based on the initial screen results we constructed a second CRISPR sgRNA library including 31 genes, each gene targeted with four sgRNAs. After the second round screening and subsequent sequencing, we selected the top 20 genes for individual validation. Results: Proteasome regulatory gene PSMC6 was identified as the only reproducible gene conferring BTZ resistance. Interestingly, the same gene was independently found by a second group using a CRISPR approach (Sheffer M et al. ASH Abstract 273, 2014). Resistance was reproducible using a PSMC6 knockout by three individual CRISPR sgRNAs targeting exonic regions and one pair of SgRNA targeting intron region flanking exon for the deletion of exon one. PSMC6 knockout was verified by PCR and Sanger sequencing. Sensitivity to BTZ was rescued by over expression of PSMC6 cDNA in RPMI 8226 cells harboring a deletion of PSMC6 exon 1. MM cells lacking PSMC6 also developed resistance against Carfilzomib. Resistance was reproduced on a second MM cell line, KMS11. We did not see any significant difference of toxicity in PSMC6 deleted cells for other chemicals tested (tunicamycin, staurosporine, dexamethasone and melphalan). We demonstrated that the sensitivity of chymotrypsin-like activity of proteasome against BTZ was significantly reduced in cells lacking PSMC6. Consequently, MM cells without the PSMC6 gene were relatively resistant to apoptosis induced by BTZ, which was verified by Western blot for caspase 8 degradation and luminescent assay for caspase 3/7 activities. Clinically we could not correlate the PSMC6 expression level with the outcome of BTZ treatment in BTZ naive patients using publically available gene expression data. We initially used CRISPR sgRNAs targeting ER stress pathway (ERN1 and XBP1) as a positive control. However we could not derive any resistant cells from the experiment. We also could not identify any sgRNAs targeting the ERN1-XBP1 pathway from our whole exome screen and next generation sequencing. Since this contradicts published data, we decided to knockout ERN1 and XBP1 genes individually. Clones of cells with successful knockout of ERN1 in three cell lines (RPMI 8226, KMS11 and JJN3) and XBP1 in two cell lines (RPMI 8226 and KMS11) were tested for response to BTZ and Carfilzomib , however we did not find any drug response difference between the knockout and parent cells. We also found that the ERN1-XBP1 knockout cells did not show difference in response to ERN1 specific inhibitors (4u8C and STF-038010) and ER stress inducers (tunicamycin and thapsigargin) compared to parental cells. Conclusions: Human multiple myeloma cells lacking the PSMC6 gene develop significant resistance to apoptosis induced by BTZ. We have however not found a correlation of PSMC6 expression levels with outcome to BTZ treatment in BTZ naïve patients. We are therefore currently investigating the PSMC6 mutation rate in relapsed MM patients after proteasome treatment. In contrast to previous reports showing that progenitor MM cells lacing XBP-1 or ERN-1 invoked BTZ resistance, we were not able to demonstrate a change in sensitivity after full CRISPR knock out of either ERN1 or XBP1. It has long been believed that ERN1-XBP1 pathway plays an important role for MM treatment, leading to the development of ERN1 specific inhibitors. However, we demonstrated that the toxicity of two ERN1-specific inhibitors appears independent of the ERN1-XBP1 pathway. We also demonstrated that the toxicity of two important ER stress inducers, tunicamycin and thapsigargin, is independent of the ERN1-XBP1 pathway. Disclosures Stewart: Celgene: Consultancy; Oncospire Inc.: Equity Ownership; BMS: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy.

Abstract Cold agglutinin disease (CAD) is an autoimmune hemolytic anemia characterized by the presence of autoantibodies (cold agglutinins) that bind to red blood cells (RBC) at low temperatures. Cold agglutinin binding to RBCs results in antibody-mediated classical complement activation with deposition of complement C4 and C3 fragments onto the RBC surface. Complement-opsonized RBCs are removed from the circulation by macrophage-driven phagocytosis in the liver or spleen and via intravascular hemolysis following assembly of the terminal lytic complex (C5b - C9), together resulting in clinical anemia. C1q is the initiating molecule for cold agglutinin-mediated complement activation on the surface of human RBCs. We hypothesized that directly blocking C1q recruitment onto cold agglutinin-sensitized RBCs will prevent complement activation and opsonization and reduce hemolysis. To this end, we have developed a humanized monoclonal antibody (ANX005) that binds with high-affinity (~10 pM) to C1q and blocks classical complement activation & hemolysis in an in vitro sheep RBC assay. We evaluated the impact of ANX005 on hemolysis and complement deposition on human RBCs that were pre-sensitized with sera from CAD subjects. ANX005 showed a dose-dependent reduction in hemolysis using both individual and pooled CAD sera as the source of cold agglutinin. We further demonstrated that C1q blockade led to a robust reduction in C4 and C3 fragment deposition onto human RBCs. These results demonstrate that C1q inhibition is an effective way to impede C4 and C3 activation and downstream assembly of the lytic complex in sera from CAD patients, and support the clinical development of ANX005 in CAD and other antibody-mediated diseases. Disclosures Gertz: Prothena Therapeutics: Research Funding; Sandoz Inc: Honoraria; NCI Frederick: Honoraria; Celgene: Honoraria; Med Learning Group: Honoraria, Speakers Bureau; Research to Practice: Honoraria, Speakers Bureau; Alnylam Pharmaceuticals: Research Funding; Novartis: Research Funding; Ionis: Research Funding; Annexon Biosciences: Research Funding; GSK: Honoraria. Qiu:Annexon Biosciences: Employment, Equity Ownership. Kendall:Annexon Biosciences: Employment, Equity Ownership. Saltarelli:Mallinckrodt: Equity Ownership; Abbvie: Equity Ownership; Annexon Biosciences: Employment, Equity Ownership, Patents & Royalties. Yednock:Annexon, Inc: Employment, Equity Ownership. Sankaranarayanan:Annexon Biosciences: Employment, Equity Ownership.

Abstract Background:A goal of “post-genomic” cancer care is development of specific, affordable, reliable and rapid next-generation sequencing-based assays determining prognosis, therapeutic selection and minimal disease monitoring, replacing older technologies in the diagnostic and monitoring workup. In this regard, we designed and deployed a custom gene panel for identification of mutations, copy-number changes and clonal frequency in multiple myeloma (MM) samples. Methods: The MM Mutation Panel Version 2.0 (M3P 2.0)1 includes 1271 amplicons from 77 genes that are either mutated in MM (genes with a published mutation incidence ≥3%), represent critical pathophysiological pathways, are targetable with small molecule-based therapies and/or are associated with drug resistance (eg. XBP-1, CRBN, IZKF, IRF4). The amplicons are spread across 21 chromosomes, allowing the identification of copy-number changes in these regions. Results: We have sequenced 38 MM cases (150 will be presented) with paired tumor-germline DNA samples, using only 20ng of DNA for library preparation. Patients (Pts) included 29 untreated and 9 MM pts with multi drug refractory disease. Coverage depth averaged 964X. Hyperdiploid MM was successfully identified in 45% of cases, del(13q) in 34%, del(1p) in 18%, del(17p) in 8% and gain of 1q in 13%. Array CGH in representative cases confirmed concordance with semiconductor sequencing. Overall, 71 exonic missense and 3 nonsense mutations were detected, and 7 frameshift indels. In 89% of the pts a mutation in at least one M3P2.0 gene was identified (range 1-8). 92% of mutations were predicted damaging (Provean, Polyphene-2 or SIFT). Most commonly mutated were KRAS (37%), NRAS (21%), BRAF (13%), TP53, CDKN1B, DIS3 (each 11%), FAM46C, STAT3, and IRF4 (each 8%). The MEK-ERK pathway was mutated in 61% of cases and in 3 cases more than one gene in this pathway (NRAS, KRAS, BRAF) was simultaneously mutated. Six mutations in BRAF were identified in 5 untreated pts, 3 of them known to be activating and targetable (Val600E). Other commonly mutated pathways were the NFKB pathway in 24% of pts and the Cyclin D pathway, mutated in 16% of cases. Genes of the cereblon pathway (CRBN, IRF4, IKZF3), essential for the action of lenalidomide (len) were mutated in 5 Pts. One newly diagnosed and len refractory Pt harbored a subclonal CRBN mutation (Asn316Lys, allelic fraction [AF] 20%) as well as 4 clonal IRF4 mutations within the DNA binding domain of the gene (Lys89Asn (AF 78%), Lys77Glu, Ser48Arg and Cys49Ser (AF 80% each). Another IRF4 mutated (Lys123Arg, AF 90%) hemodialysis dependent Pt was responsive to dose adapted treatment of len and dexamethasone (dex). Mutations in the C2H2-type 3 region of IKZF3 in a len resistant (Gly191Arg, AF 48%) pt occured as well as in a len and dex responsive (Arg242Gly, AF 52%) Pt. Furthermore, we identified a truncating XBP1 mutation (p.Leu232*, 97% AF) in a Pt refractory to bortezomib. One patient harbored a mutation in the steroid receptor NR3C1 (Pro255Leu, 22% variant reads). Finally, integrated mutation and copy-number data identified biallelic deletions of CDKN2C and FAM46C in a multi drug refractory Pt. Mutation and/or copy-number losses in both alleles were found in DIS3 in 4 Pts, in CYLD, TP53 and TRAF3 in 2 Pts and in CARD11, CDKN2A, CDKN1B, RB1and STAT3 in one Pt each. Conclusion: In summary, we report the initial results from 38 MM Pts using a custom MM sequencing panel which employs small amounts of DNA requiring very few cells and providing deep coverage in clinically meaningful timeframes. Our findings frequently include prognostically significant information, actionable targets and mutations in genes related to drug resistance. Targeted mutation profiling will likely become part of the clinical workup in MM and our M3P2.0 mutation panel is a suitable tool to provide information needed to guide precision therapy and to set the basis for individually tailored treatment decisions. 1. Kortuem KM. et al. Development Of a 47 Gene Sequencing Panel For Common Mutations Present In Multiple Myeloma: Preliminary Results In 77 p53 Deleted Patients, ASH 2013. Disclosures Stewart: Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Array BioPharma: Consultancy; Sanofi: Consultancy; Takeda Pharmaceuticals International Co.: Research Funding; Novartis: Consultancy. Bruins:OncoSpire: Salary support Other. Vasmatzis:OncoSpire: Salary Support Other. Kumar:Celgene: Consultancy, Research Funding; Millennium: The Takeda Oncology Co.: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding; Sanofi-Aventis: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Skyline Diagnostics: Membership on an entity's Board of Directors or advisory committees. Fonseca:Medtronic, Otsuka, Celgene, Genzyme, BMS, Lilly, Onyx, Binding Site, Millennium, AMGEN: Consultancy, patent for the prognostication of MM based on genetic categorization of the disease. He also has sponsored research from Cylene and Onyx Other, Research Funding. Bergsagel:MundiPharma: Research Funding; OncoEthix: Research Funding; Constellation Pharmaceutical: Research Funding; Novartis: Research Funding.

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 Background: It is now well established that the immune modulator (IMiD) drugs thalidomide (Thal), lenalidomide (Len) and pomalidomide (Pom) bind a specific pocket in the protein, cereblon (CRBN) that is required for MM cytotoxicity after IMiD treatment. Recently, we reported 46 CRBN binding proteins which were altered by Len, two of which were the transcription factors Ikaros (IKZF1) and Aiolis (IKZF3), important regulators of B and T cell development. Others had previously reported the same finding and went further by demonstrating that following binding of IMiD drugs, CRBN accumulates and accentuates the ubiquitination and subsequent proteasomal degradation of these two binding proteins. The resulting degradation and depletion of IKZF proteins has the simultaneous effect of downregulating IRF4 and MYC leading to MM cell death while simultaneously enhancing transcription of interleukin 2 and activating the immune compartment. Methods: To further explore this phenomenon and its relationship to drug sensitivity we first created two stable MM cell lines (H929IKZF1Luc, 8226IKZF1Luc) expressing an IKZF1-luciferase (luc) fusion gene and tested for sensitivity to Len alone and in combination with dexamethasone (Dex), bortezomib (Bor) or the histone deacetylase inhibitor SAHA. Next, we constructed an adenoviral vector expressing IKZF1-luc and used this to transfect 16 MM cell lines, confirmed expression and tested sensitivity to Len by MTT (Figure 1). Results: We first examined the stable cell lines and measured luc expression after exposure to all three IMiD drugs. With all IMiD drugs luc dramatically decreased in sensitive H929 cells. IKZF1 depletion was both time and dose dependent. Using this surrogate marker cell line assay, luc is most efficiently degraded by Pom which is twice as potent as Len, but a thousand times more potent than Thal (Concentration of drug required to reduce luc expression by 50%, Pom: 4.9nM, Len: 10.2 nM, and Thal: 4,795 nM). We then tested all 16 cell lines with Len 2uM for 5 hours and show a strong correlation of IKZF-luc depletion with sensitivity. Figure 1: Luc levels 5 hours after Len treatment at 2uM. We divided the cell lines into three groups: 1) Len resistant: 8226, KMS12PE, My5, SKMM2, JJN3, FR4, H112; 2) Len intermediate response: EJM, OPM2, U266, KMS18; 3) Len sensitive: H929, MM1.S, MM1.R, KMS11, XG1; Figure 1:. Luc levels 5 hours after Len treatment at 2uM. We divided the cell lines into three groups: 1) Len resistant: 8226, KMS12PE, My5, SKMM2, JJN3, FR4, H112; 2) Len intermediate response: EJM, OPM2, U266, KMS18; 3) Len sensitive: H929, MM1.S, MM1.R, KMS11, XG1; We next performed western blots on 9 MM cell lines and demonstrate that IKZF1 levels were lowest in 3 of 5 resistant MM cell lines and normal in all 4 sensitive lines studied. The cell line (FR4) with the lowest levels of IKZF1 harbors a damaging mutation of IZKF1 as well as a translocation which upregulates IRF4, an IKZF target. Of the remaining two resistant lines one has low levels of Cereblon. In one line the mechanism of IMiD resistance could not be established. Finally, we were curious about the dichotomy of the IMiD biology which seemingly has an absolute requirement for a functional proteasome for successful IMiD cytotoxicity which is at variance with clinical reports of synergy between the IMiDs and the proteasome inhibitors (PIs) Bor and carfilzomib (Car). To explore this, we treated the 8226IKZF1Luc cell line with Len alone or in combination with increasing concentrations of Bor (6 nM) or Car (40nM) and found that both totally blocked IKZF1 fusion protein degradation promoted by Len, beginning as soon as 1 hour at 100nM Bor or after 3 hours at 40nM treatment. Conversely, in low concentration of Bor (<4nM) no IKZF1 degradation blocking was observed in the Luc assay and Bor remained lethal to the MM cells. In that light with lower levels of Bor (<3nM) even varying the sequencing of MM cell exposure to the two drug classes did not block cytotoxicity. Other MM active drug Dex or SAHA, blocking the aggresome, had no significant inhibition for Len-induced IKZF1 fusion protein degradation. Conclusion: These results validate the central role for the CRBN-IKZF-IRF4 axis proteins in IMiD response and show a strong correlation of IZKF1 expression and the ability to degrade IKZF1 with sensitivity. Our data provide interesting and perhaps disconcerting biologic data suggesting that the timing and dosing of clinical use of IMiDs and PI treatment in combination should be carefully evaluated to prevent antagonism of effect but suggest in vitro that a therapeutic window exists at which proteasome inhibitors can be active without blocking IMiD activity. Disclosures Stewart: Sanofi: Consultancy; Array BioPharma: Consultancy; Bristol Myers Squibb: Consultancy; Celgene: Consultancy; Novartis: Consultancy; Takeda Pharmaceuticals International Co.: Research Funding.