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Abstract Introduction: A recent study revealed an antiproliferative and apoptotic effect of propranolol on multiple myeloma (MM) cells. Our previous small matched case-control study showed longer survival in patients with propranolol and other beta-blockers (BB) intake than those without. This larger scale study was conducted to confirm the positive association of BB and MM survival. Methods: We identified 1971 newly diagnosed pts seen at Mayo Clinic between 1995 and 2010. Cardiac medication usage after diagnosis of MM was extracted from patient records and categorized based on BB intake. Cause of death was collected with death due to MM as the primary interest event and death due to cardiac disease or other reasons as competing risk events. The primary outcomes were MM disease-specific survival (DSS) and overall survival (OS). Cumulative incidence functions and Kaplan-Meier method were used to estimate the 5-year cumulative incidence rate (CIR) of MM death and OS rate, respectively. DSS and OS were compared by Gray's test and log-rank test, respectively. Multivarable Cox proportional hazard models were used to estimate the adjusted cause-specific HR (HRCSadj.) and hazard ratio (HRadj.) for DSS and OS, respectively, adjusting for demographics, disease characteristics, diagnosis year, and various chemotherapies. Results: 930 (47.2%) of MM patients had no intake of any cardiac medications; 260 (13.2%) had BB only; 343 (17.4%) used both BB / non-BB cardiac medications; and 438 patients (22.2%) had non-BB cardiac drugs. Five-year CIR of MM death and OS rate were shown in table. Superior MM DSS was observed for BB only users, compared to patients without any cardiac drugs (HRCSadj., .53, 95% confidence interval [CI], .42-.67, padj.<.0001) and non-BB cardiac drugs users (HRCSadj., .49, 95% CI, .38-.63, padj.<.0001). Patients received both BB and other cardiac drugs also showed superior MM DSS than non-cardiac drugs users (HRCSadj.., .54, 95% CI, .44-.67, padj.<.0001) and non-BB cardiac drug users. (HRCSadj., .50, 95% CI, .40-.62, padj.<.0001). MM DSS does not differ between BB users with and without other cardiac drugs (padj.=0.90). Multivariable analysis showed the same pattern for OS. None of the MM therapies impacted the differences in DSS and OS among BB intake groups (interaction padj.>.60). Conclusion: MM patients with BB intake showed reduced risk of death due to MM and overall mortality compared to patients who used non-BB cardiac or never used cardiac drugs. The result warrants further investigation for anti-cancer effect of BB in MM. Disclosures Shi: Mayo Clinic: Employment. Kumar:Onyx: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Array BioPharma: Consultancy, Research Funding; Sanofi: Consultancy, Research Funding; Skyline: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Research Funding; Glycomimetics: Consultancy; Janssen: Consultancy, Research Funding; Noxxon Pharma: Consultancy, Research Funding; Millennium: Consultancy, Research Funding; BMS: Consultancy; Kesios: Consultancy. Gertz:NCI Frederick: Honoraria; Celgene: Honoraria; Med Learning Group: Honoraria, Speakers Bureau; Research to Practice: Honoraria, Speakers Bureau; Alnylam Pharmaceuticals: Research Funding; Novartis: Research Funding; Prothena Therapeutics: Research Funding; Ionis: Research Funding; Annexon Biosciences: Research Funding; GSK: Honoraria; Sandoz Inc: Honoraria. Kapoor:Celgene: Research Funding; Amgen: Research Funding; Takeda: Research Funding. Dispenzieri:pfizer: Research Funding; Celgene: Research Funding; Alnylam: Research Funding; Jannsen: Research Funding; GSK: Membership on an entity's Board of Directors or advisory committees; Prothena: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract Intro: Multiple myeloma (MM) is an incurable malignancy that arises from MGUS, however the majority of patients with MGUS do not go on to develop MM. A deeper understanding of the biology of progression from MGUS to MM is needed to identify patients at higher risk of progression and identify potential strategies to prevent development of MM. Altered bone metabolism is common in MGUS with upregulation of the receptor-activator of nuclear kB ligand (RANKL) to osteoprotegrin (OPG) ratio. Vitamin D has a central role in bone metabolism and has recently been associated with progressive disease in several malignancies, including MM. We hypothesized that progressive alterations in the key molecules of bone remodeling would correlate with the risk group of MGUS and that correction of vitamin D deficiency would lead to improved equilibrium of selective cytokines involved in bone remodeling and metabolism. Methods: 43 patients with MGUS or smoldering myeloma were assigned to low (0 or 1 risk factor) or high (2 or 3 risk factors or smoldering multiple myeloma (SMM)) risk of progression to MM based on the IMWG consensus statement (Leukemia. 2010, June; 24(6); 1121-7). We measured 25 hydroxyvitamin D levels, IL-6, and the RANKL/OPG ratio via enzyme linked immunosorbent assay (ELISA). Patients with low levels of 25 hydroxyvitamin D were treated with 6,000 units of cholecalciferol daily for 8 weeks and then 2,000 units daily thereafter. Repeat levels of 25 hydroxyvitamin D, interleukin-6 (IL-6), and RANKL/OPG were repeated after three months of cholecalciferol therapy. Results: Total enrollment was 43 patients, with 26 patients with low risk disease and 17 patients with high risk disease. There was no significant difference in IL-6, OPG, RANKL, or the RANKL/OPG ratio levels between patients with low versus high risk disease. Patients with SMM versus patients with MGUS had higher levels of IL-6 RANKL and the RANKL/OPG ratio. 14 patients were found to have vitamin D deficiency with 25 hydroxyvitamin D <25ng/mL, 5 high risk and 9 low risk patients. There was no difference in IL-6 levels in patients with or without vitamin D deficiency. Patients with vitamin D deficiency had an increased RANKL and the RANKL/OPG ratio. With cholecalciferol supplementation in deficient patients, the average vitamin D level in deficient patients increased from 16.6 to 25.34 ng/mL while the RANKL/OPG ratio decreased (241.99 vs. 115.32, p-value .041) and the serum free light chain ratio improved (median improvement of 6, p-value=.013). Conclusions: These data provide clues that vitamin D deficiency is pervasive in MGUS . Additionally, hypovitaminosis D and its correction modulates the RANKL/OPG ratio that could play a pivotal role between osteoblasts and osteoclasts. Further study is required to determine if alterations in bone metabolism and the correction of abnormal metabolism can alter the disease course of patients with MGUS, especially serum free light chains and bone marrow plasma cells (PC) and the PC karyotype. This trial was conducted with IRB approval from the University of Kansas Medical Center. Table 1. RANKL, OPG, and RANKL/OPG ratios for SMM versus MGUS patients with 0,1, or two risk factors and patients with vitamin D deficiency versus those without vitamin D deficiency. SMM MGUS 0,1,2 p-value 25 hydroxyvitamin D<25 ng/mL 25 hydroxyvitamin D >25 p-value RANKL (pg/mL) 65500.76 13819.97 .041 50216.25 10387.77 .044 OPG (pg/mL) 180.59 164.81 .25 177.78 163.46 .60 RANKL/OPG 252.66 110.04 .06 241.99 73.25 .034 Disclosures Yacoub: seattle genetics: Membership on an entity's Board of Directors or advisory committees; sanofi: Membership on an entity's Board of Directors or advisory committees; alexion: Membership on an entity's Board of Directors or advisory committees. Mikhael:Onyx: Research Funding; Celgene: Research Funding; Sanofi: Research Funding; Novartis: Research Funding.

Abstract Background: Patients with light chain amyloidosis (AL) often have delayed diagnosis and present with significant symptomatology; this may result in decreased quality of life (QOL). With improving treatment options providing longer survival, it is increasingly important to assess QOL. However there is paucity of data in the literature addressing QOL in AL patients. We prospectively employ a "Hematology Patient Reported Symptom Screen" (HPRSS) which consists of three questions about fatigue, pain and overall QOL. The aim of this study is to understand if HPRSS parameters predict various clinical outcomes. Methods: Eligibility for this retrospective study was as follows: 1) New diagnosis of AL between 2009-2014; 2) baseline HPRSS documented in the medical record; and 3) at least a year of follow-up, which included either death within or follow-up through 12 months after diagnosis. The HPRSS questions were rated on a 1-10 scale, with 10 being the worst for fatigue and pain, and 10 being the best for overall QOL. Scores were abstracted from visits at time of diagnosis, and at 12 months +/- 1 month post-diagnosis. We considered a 2-point difference in serial scores a "change" over time. Results: For the 302 patients in this study, the baseline median scores [interquartile range] for fatigue, pain, and QOL were 6 [3,7], 2 [0,5] and 5 [3,8], respectively. Median overall survival (OS) was 39.1 months, with 102 deaths in the first year. There were significant differences in baseline HPRSS between those who lived longer than one year and the early death patients in the domains of fatigue (5 [IQR 3, 7] vs. 7 [IQR 5, 8], p<0.0001) and QOL (6 [IQR 4, 8] vs. 5 [IQR 3, 7], p=0.006), but not in pain (2 [IQR 0, 5] vs. 2 [IQR 0, 5]). There were significant baseline differences in the early death group for alkaline phosphatase, bilirubin, creatinine, and Mayo stage. Patients who received ASCT had the best baseline fatigue 4 [2.5,6] and QOL 7 [5,8] scores and were significantly different from those who did not receive ASCT [fatigue p<0.0001) and QOL (p<0.0001)] On univariate analysis fatigue and QOL were prognostic for OS. On multivariate analysis Mayo 2012 staging, autologous stem cell transplant and baseline fatigue remained independently prognostic. When analyses were restricted to the 125 patients with HPRSS measurements at 12 months, we found that over time QOL scores improved significantly 6 [IQR 3.5, 8] to 7 [IQR 5, 8] (two sided Wilcoxon signed rank p=0.01), but fatigue (5 [IQR 2, 5] to 4.5 [IQR 3, 6]) and pain scores (2 [IQR 0 ,4] to 1.5 [IQR 0, 4]) did not. Patients with worse baseline parameters tended to have improvement in QOL by 12 months while those with the best baseline parameters tended to decline in QOL although not statistically significant. When we included the 102 patients who died within 12 months to the comparison, the early death patients had the worst baseline parameters and there were significant differences across all 4 groups for most characteristics (Table 1). There was no association between achieving hematologic or organ response with change in QOL. Conclusion: Asking patients with AL to rate their fatigue and QOL using a 10-point scale has predictive value. Patient reported fatigue at diagnosis is an independent prognostic factor for survival. Survival at one year was associated with significant improvement in QOL. Table 1. Baseline parameters between patients with early death and/or survive 12 months. Grouped by Patient Reported QOL at 12 months Relative to Baseline Dead by 12 months, n=102 Improved, n=44 Stable, n=55 Worsened, n=26 pa HPRSS scores [IQR] Baseline QOL Baseline fatigue Baseline pain 12 month QOL 12 month fatigue 12 month pain 5 [3,7] 7 [5,8] 2 [0,5] NA NA NA 4 [3-5] b,c,d6 [4-8] b,c2 [0-4] 7 [6-9] b,d4 [1.25-6] 1 [0-3] 7 [4-8] 4 [2-7] 2 [1-5] 7 [4-8] 5 [3-6] 2 [0-4] 8 [7-10] 2.5 [0-5.25] 2 [0-6.25] 5 [3-7] 5 [3-6] 2.5 [1-4] <0.0001 <0.0001 NS NS 0.001 NS dFLC, mg/dL 48 (2.89-726) 30 (1.1-494) 19 (36-455) 22 (0.2-2097) 0.008 Troponin, ng/mL 0.065 (<0.01-0.84) 0.02 (<0.01-1.6) 0.01 (<0.01-0.19) 0.01 (<0.01-0.14) <0.0001 NT-proBNP pg/mL 5222 (159-70,000) 1766 (26-16868) 1381 (24-19180) 496 (56-2973) <0.0001 Received Transplant (%) 4 (4) 13 (33) 36 (50) 13 (50) 0.0002 a Significant by Wilcoxon across all 4 categories; b Significant difference between Improved and Worsened; c Significant difference between Improved and Stable; d Significant difference between Worsened and Stable Disclosures Kumar: Millenium: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Abbvie: Research Funding; Janssen: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Novartis: Research Funding; Onyx: Consultancy, Research Funding. Thompson:Kite Pharma: 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: Both MM specific and patient specific parameters place patients at risk for death. Patient frailty has been delineated primarily by age and ECOG performance score (PS) and secondarily with creatinine, eGFR, and the International Staging System (ISS), which reflect both renal function and disease burden. In an attempt to improve upon these commonly used measures, a frailty score for elderly patients that combines functional status [Activity of Daily Living (ADL) and Instrumental Activity of Daily living scores], comorbidities [Charlson comorbidity index (CCI)] and age has been developed by the IMWG. Incorporation of these tools into a busy clinical practice is challenging due to time constraints. Therefore, the identification of frail patients with an easily applicable, rapid and objective tool remains a challenge and an unmet need. A reliable, non-invasively assessable, biochemical marker of frailty would be an ideal tool to identify patients at higher risk of death. It was our goal to determine the role of NT-proBNP, a well-established cardiovascular risk biomarker, as a marker of frailty in patients with MM and in predicting overall survival (OS). Methods: Patients were elegible for this retrospective study if they were seen at the Mayo Clinic, Rochester, MN within 30 days of their myeloma diagnosis during the interval between 1/1/2007 and 12/31/2011. As part of the Mayo Clinic registration, all patients complete forms containing their past medical history, symptoms, and ADLs. Data from that first visit was abstracted and used to calculate a CCI. We excluded all patients with a concomitant diagnosis of light-chain AL amyloidosis. NT-proBNP concentration was measured in frozen sera collected within 30 days of diagnosis. NT-proBNP assay was run on the E170 Modular analyzer (Roche Diagnostics, Penzberg, Germany). We evaluated the prognostic role of NT-proBNP and these indices on OS using the Kaplan-Meier method. Results: Among the 351 consecutive patients satisfying entry criteria, median age was 65 years (range 22-95), 33% were ≥70 years, and 56% were male. Twenty-eight percent were ISS stage III, 13% had a creatinine ≥2 mg/dL, 19% had PS ≥2, and 11% had ADL score ≥2, and 30% CCI ≥2. The median value of NT-proBNP was 109 ng/L (interquartile range: 30-375 ng/L). NT-proBNP concentrations differed in the three ISS stages (median: 122 ng/L stage I, 190 ng/L stage II and 1822 ng/L stage III, P<0.0001). Median OS was 5.6 years. The best cutoff of NT-proBNP predicting OS at one year was 301 ng/L (sensitivity: 57.88%, specificity: 74.29%; AUC=0.668) and distinguished two groups with different OS (median not reached vs. 35 months, P<0.0001). Variables predictive for OS are shown in the Table and included PS, age, CCI, ISS, NT-proBNP. On multivariate analysis, ISS and NT-proBNP were independent of each other as long as age, PS and/or CCI were excluded from the model. NT-proBNP withstood these clinical variables better than did ISS (data not shown). We built two different models (table). In model 1, NT-proBNP >301 ng/L was an independent predictor of survival while age ≥70 and PS ≥2 and CCI were not significant. However, if we considered ISS stage instead of NT-proBNP in the same model, ISS stage was not significant. Conclusions: In this unselected cohort of patients with newly diagnosed multiple myeloma, NT-proBNP was a useful predictor of survival independent of age and PS. The threshold of 301 ng/L is remarkably similar to the well-established cutoff for heart failure of 300 ng/L. NT-proBNP outperformed the CCI and the ISS as risk factors. NT-proBNP is a widely available biomarker that could be added to the panel of laboratory tests of newly diagnosed MM patients and serve as a simple means of determining patient frailty in a busy clinical practice. Table. Results of univariate and multivariate analysis of various prognostic factors (NS, not significant; NI, not included). Univariate Multivariate Multivariate RR (95% CI) P Model 1 P Model 2 P PS ≥2 3.4 (2.4-4.8) <0.0001 2.5 (1.7-3.6) <0.0001 2.8 (1.9-4.0) <0.0001 Age ≥70 2.7 (1.9-3.6) <0.0001 2.1 (1.5-2.9) <0.0001 1.9 (1.3-2.7) 0.0003 CCI >=2 1.9 (1.4-2.6) <0.0001 NS NS 1.5 (1.0-2.0) 0.03 ISS stage 1.1 (1.1-1.8) 0.0004 NI NI NS NS NT-proBNP >301 ng/L 2.3 (1.7-3.2) <0.0001 1.6 (1.1-2.2) 0.007 NI NI Disclosures Merlini: Janssen-Cilag: Honoraria; Prothena: Honoraria; Millennium-Takeda: Honoraria; Pfizer: Honoraria. Kumar:Janssen: Research Funding; Celgene: Research Funding; Sanofi: Research Funding; Millenium/Takeda: Research Funding; AbbVie: Research Funding; Onyx: Research Funding; Celgene, Millenium, Sanofi, Skyline, BMS, Onyx, Noxxon,: Other: Consultant, no compensation,; Skyline, Noxxon: Honoraria.

Abstract Introduction T-cell prolymphocytic leukemia (T-PLL) is a rare mature T-Cell malignancy typically associated with aggressive clinical course. Leukemic T-cells demonstrate post-thymic T-cell phenotypes (Tdt-, CD1a-, CD5+, CD2+ and CD7+) and commonly are CD4+/CD8- T-cells, but co-expression of CD4+/CD8+ or CD8+/CD4- have also been observed. Rearrangement of chromosome 14 involving TCL1 locus is the cornerstone for T-PLL diagnosis which leads to overexpression of oncogene TCL1. As a binding partner for TCL1, AKT expression correlates with worse prognosis. Despite advances in identification of novel mutations, therapeutic option is limited with most patients having very short survival. Herein, we performed a detailed analysis of specific T-cell subsets affected in T-PLL and a comprehensive genomic analysis by whole exome sequencing (WES) and RNA sequencing. We also explored the preclinical efficacy of targeting AKT activation by AKT inhibitor MK2206 on leukemic T-cells isolated from T-PLL patients. Methods T-PLL leukemic cells were isolated from blood or marrow samples of T-PLL patients (n=9) and were tested for involved T-cell subsets by multicolor flow cytometric analysis. Leukemic T-cells were treated with escalating doses of MK2206 (0 to 10 µM) for about 80 hours and were assessed for their apoptosis levels using Annexin V flow cytometric analysis. Whole exome sequencing (WES) and RNA sequencing were conducted using genomic DNA and RNA isolated from purified leukemic T cells from T-PLL patients. Results Phenotypic analysis of T-cell subsets in T-PLL patients showed that leukemic T-cells in 4 untreated T-PLL patients are consistent with naïve T-cell phenotype (CD45RA+, CD45RO-, CCR7+). Leukemic T-cells in 3 of the untreated patients and in 2 of the treated patients have central memory T (CD45RA-, CD45RO+, CCR7+) and effector memory T phenotypes (CD45RA-, CD45RO+,CCR7-) respectively. MK2206 treatment was able to induce dose-dependent apoptosis on the isolated PBMC (containing > 90% leukemic T-cells) of T-PLL patients (n=4) (IC50: 5 µM). FISH analysis found a rearrangement of TCL1 locus on chromosome 14 in all T-PLL cases (n=9). Three cases have also been detected to have del (11q) involving ATM locus and one patient has both del(11q) and del(17p). Subsequent WES (n=7) and RNA sequencing (n=6) analysis revealed recently reported mutations in ATM (frame shift mutation and early stop mutation W579*) in 2 cases, JAK3 (M511I) in 2 cases and STAT5B (T628S and N642H) in 2 cases. Importantly, novel somatic mutations in gene IKZF1 (N159S), NTRK1 (R33W), AP2A2 (P514L), HDAC8 (I115R), RARB (G90W) and TNIP2 (K104Q) were detected by WES. Mutations in EML4 (L548W and F304S) and VAV3 (C282Y and splice site mutation) were also identified in 2 different T-PLL cases. RNA sequencing revealed several fusion transcripts resulting in early stop of several different genes including PTPRT, L3MBTL1, UCKL1 in one T-PLL case. Conclusion T-PLL leukemic T-cells are consistent with either naïve or central memory T-cell subsets in untreated patients. The AKT inhibitor MK-2206 was capable of inducing apoptosis and could be a potential therapeutic agent for T-PLL patients. In addition, we detected known mutations in ATM and JAK-STAT pathways. Novel mutations in genes involving DNA binding and chromatin remodeling (IKZF1, HDAC8) or kinase signal pathway (NTRK1, TNIP2, VAV3, EML4) were uncovered. These results suggest that further therapeutic approaches could be developed to target DNA binding factors or JAK-STAT or AKT-TCL1 signal pathway with an ultimate goal to improve survival of T-PLL patients. Disclosures Off Label Use: Off label use of MK2206: MK-2206 is an AKT inhibitor obtained from Selleck Chemicals and is used to treat leukemic cells in vitro to test the leukemic sensitivity to AKT inhibition. .

Abstract Abstract 3972 Background: The treatment paradigm for myeloma has undergone a dramatic shift in the past decade with the introduction of the novel agents and their application at every stage of the treatment. We and others had previously shown that survival of patients with myeloma had improved in the earlier half of the last decade and attributed this to a combination of novel therapies as well as increased use of stem cell transplant. It is not clear if this momentum in improving survival has been maintained. We examined the survival trends of patients with newly diagnosed myeloma seen within the past decade to examine this question. Patients and Methods: We studied 1056 patients with newly diagnosed myeloma, who were seen at Mayo Clinic between January 1, 2001 and December 31, 2010; who were seen within 30 days of their diagnosis. For examination of the time trends, we grouped the time interval into two five year periods, 2001–2005 and 2006–2010. Survival was estimated using Kaplan Meier method and survival curves were compared by log rank test. Impact of various prognostic factors was evaluated using Cox proportional hazards test. Results: The median age at diagnosis was 65 (range; 22–92), and 59% were male. The median estimated follow up for the entire cohort was 4.6 years (95% CI; 4.4, 4.9) and 57% of the patients were alive at last follow up. The median overall survival (OS) for the entire cohort was 5.4 years (95% CI; 5, 6.3). The overall survival for patients in the 2001–2005 group was 4.6 years compared with not reached for the 2006–2010 cohort (P< 0.001). The five-year estimated OS was 48% for the earlier group compared with 66% for the latter group. The estimated 1-year survival was 90% for the recent cohort compared with 83% for the earlier cohort, suggesting improvements in the early mortality. Interestingly, the improvement was predominantly seen in the older age group (>65 years; 49%). The 5-year survival of the older patients improved significantly from 31% (2001–2005) to 56% (2006–2010) (P<0.001). In contrast, among younger patients (≤65 years of age), the 5-year survival improved only marginally from 63% (2001–2005) to 73% (2006–2010) (P=NS). One or more novel agents (Lenalidomide, thalidomide or bortezomib) were used as part of initial therapy in 631 (62% of 1021 in whom treatment data was available). The OS among of this group was 7.3 years (95% CI; 5.9, NR) compared with 3.8 years (95% CI; 3.1, 4.6). In a multivariate model that included both use of novel agent and the year group, only the novel agent use was associated with improved survival suggesting that the improvement in the survival is related to the increased use of novel agents in the initial therapy. No significant differences were observed between the groups in terms of conventional prognostic factors. Conclusions: The current results confirm continued improvement in the overall survival of patients, even within the last 10 year period, and highlight the impact of initial therapy with novel agents. Most importantly, we demonstrate that the improved survival has primarily benefited older patients. Our study highlights that urgent need for additional new agents to provide further survival improvement for younger patients, and in order achieve a cure for this disease. Disclosures: Kumar: Merck: Consultancy, Honoraria; Celgene: Research Funding; Millennium: Research Funding; Novartis: Research Funding; Cephalon: Research Funding; Genzyme: Research Funding. Dispenzieri:Celgene: Research Funding; Millennium Pharmaceuticals, Inc.: Research Funding; Janssen Research & Development: Research Funding. Gertz:Binding Site: Honoraria.

Abstract Abstract 1795 Background: Waldenstrom's macroglobulinemia (WM) is an indolent B-cell lymphoma characterized by a heterogeneous population of lymphocytes, plasmacytoid lymphocytes and plasma cells with variable CD20 expression. Rituximab (R) achieves an overall response rate (ORR) of 25–50% in relapsed/refractory WM and is associated with IgM flares, manifested by a rapid rise in IgM, potentially leading to complications of hyperviscosity. Ofatumumab (OFA) is a fully human monoclonal antibody that targets an epitope encompassing both the large and small extracellular loops of CD20 and effectively induces complement-dependent cytotoxicity of B-lymphoma cells. OFA is approved for the treatment of fludarabine- and alemtuzumab-refractory chronic lymphocytic leukemia (CLL) and has demonstrated clinical activity in non-Hodgkin's lymphoma. Given the efficacy of OFA in CLL, with its decreased CD20 antigen density, similar to WM where CD20 is down-regulated with differentiation of cells into plasma cells, a Phase II, open-label, single-arm trial of OFA in patients (pts) with WM was initiated to examine the safety and efficacy of OFA in this population. We report data from a planned interim analysis, which was performed to examine IgM flare, toxicity and response data. Methods: Pts (age ≥18 years) with WM requiring therapy by 2nd International Workshop on WM criteria were eligible. Pts received OFA 300 mg week 1 and 1000 mg weeks 2–4. Premedication included acetaminophen and antihistamine (all infusions) and glucocorticoid (infusions 1 and 2). Pts who experienced grade 3–4 infusion-related adverse events (AEs) during weeks 1 and 2 also received glucocorticoid during weeks 3 and 4. The primary endpoint was ORR assessed by 3rd International Workshop on WM criteria, and toxicity was assessed according to NCI-CTCAE, v3.0. Results: Fifteen pts were enrolled between March 2009 and January 2010. Median age was 59 years (range 43–85), and 9 pts were male. Pts had a median IgM level of 3.70 g/dL (range 1.21–6.62) and median hemoglobin (hgb) of 9.8 g/dL (range 5.3–11.7). Three pts were previously untreated; 12 pts had received a median of 3 therapies (range 2–5), including 11 pts who had received R, and 7 pts who had received a purine analog. Fourteen pts completed all 4 infusions of OFA. One pt withdrew from study after infusion 3 due to a drug-related serious AE (SAE). One pt had cryoglobulinemia, which interfered with IgM assessment. Of the 14 pts with evaluable IgM levels, 3 achieved partial response (PR), and 3 achieved minor response (ORR=43%) 8 weeks to 5 months after start of OFA therapy. One of 3 previously untreated pts and 5 of 12 relapsed pts responded. Four of 11 pts who had received prior R and 2 of 4 R-naïve pts responded. Five of 9 pts with IgM <4 g/dL and 1 of 5 pts with IgM >4 g/dL responded. Four pts with a median hgb of 8.0 g/dL (range 5.3–9.2) experienced ≥2.8 g/dL increase in hgb, including 3 pts who had >5 g/dL increase; median time to reach hgb ≥11.0 was 4 weeks. Infusion-related events occurred with dose 1 (300 mg) in 12 pts and with dose 2 (1000 mg) in 7 pts; all infusion events were grade 1–2 except 2 grade 3 events (rash, serum sickness). Nine pts developed 11 infections: 7 URI, 2 UTI, 1 sinusitis, 1 oral candidiasis (all grade 2). One pt developed grade 3 febrile neutropenia. Two pts developed SAEs possibly related to OFA. One pt developed grade 3 Coombs-negative hemolytic anemia after infusion 3 resulting in study withdrawal, and 1 pt with a baseline IgM level of 6.62 g/dL developed grade 3 renal insufficiency due to a rapid rise in IgM and cast nephropathy 6 weeks after starting OFA. One additional pt, with a baseline IgM level of 4.69 g/dL, developed a rapid rise in IgM and hyperviscosity symptoms. Both pts with a rapid rise in IgM underwent plasmapheresis with resolution of symptoms. No other OFA-related hematologic toxicity was observed. Conclusions: OFA has an acceptable toxicity profile, although a rapid rise in IgM requiring plasmapheresis was observed in 2 pts with high baseline IgM levels. OFA shows clinical activity in pts with WM, including those who relapse after R therapy, with rapid improvement in hgb and slower reduction of IgM levels. Based on the acceptable safety profile in this study and the dose of OFA approved for refractory CLL, the study was amended to increase the OFA dose to 2000 mg and allow a 2nd cycle of therapy for pts who do not attain PR after cycle 1. Accrual to the amended study is ongoing. Disclosures: Furman: GlaxoSmithKline: Consultancy, Speakers Bureau; Genentech: Consultancy, Speakers Bureau; Cephalon, Inc.: Speakers Bureau; Celegene: Consultancy; Calistoga: Consultancy. Off Label Use: Ofatumumab is an investigational anti-CD20 monoclonal antibody, currently under development for the treatment of B-cell malignancies (chronic lymphocytic leukemia, diffuse large B-cell lymphoma, Waldenstroms macroglobulinemia and follicular lymphoma) as well as autoimmune diseases (rheumatoid arthritis and multiple sclerosis). Switzky:GlaxoSmithKline: Employment, Research Funding; Genmab: Employment, Research Funding. Leonard:GlaxoSmithKline: Consultancy. Liao:GSK: Employment. Shah:GlaxoSmithKline: Employment; Genmab: Research Funding. Brownell-Buttich:GlaxoSmithKline: Employment. Lisby:Genmab A/S: Employment. Lin:GlaxoSmithKline: Consultancy, Employment.

Abstract Abstract 946 Background: The emerging therapies directed at the plasma cell clone have dramatically increased overall survival (OS) for both myeloma and amyloidosis patient populations. As more treatment trials are done in patients (pts) with AL, benchmarks for outcomes among previously treated AL pts are required, especially for those pts who are not candidates for high-dose chemotherapy with peripheral blood stem cell transplantation (ASCT). Inadequate information is available about the number of non-transplant pts who go on to receive second line treatment for AL amyloidosis. Methods: To ascertain the outcomes of pts who did not receive ASCT as primary therapy but who required a second line of therapy, we reviewed the experience of pts seen at Mayo Rochester between 1990 and 2010 according to an IRB approved retrospective review protocol. 1828 pts had their first Mayo visit for AL during this time period. Pts were excluded from this study for the following reasons: 571 had upfront transplant; 907 pts had received only one line of treatment for their amyloid; 91 had longstanding other associated malignancy [Waldenstrom's macroglobulinemia (8), lymphoma (15), CLL (6), multiple myeloma (62)]; and 93 had inadequate follow-up information. One-hundred and sixty-six pts received 2 or more lines of therapy for their AL amyloid and are the subject of these analyses. Statistical analyses were done using JMP statistical software (SAS, Carey, NC). Results: Of the 166 pts, the median age was 64 years (range 34, 84). 49% were male. Baseline organ involvement was as follows: cardiac 84/166 (50%); renal 118/166 (71); liver 23/166 (13.8%); peripheral nerves 19/166 (11.4%); and gastrointestinal 14/166(8.4%). Thirty-one percent (52/16) had both cardiac and renal involvement. Only 73 pts had cardiac biomarkers (NT pro BNP and Troponin T) done at baseline. Of these pts, 26% were stage 1, 49.3% were stage 2, and 24.6% were stage 3 according to original Mayo cardiac biomarker staging system. By inclusion criteria definition, all 166 pts received 1st and 2nd line therapies; 53 (32%) pts received 3rd line of treatment; 20 (12%) received 4th line of treatment; and 10 (6%) received 5th line of treatment. For first line therapy, the most common drugs given either singly or in combination were corticosteroid (147/166; 88.5 %), alkylator (99/166; 59.6%), IMID (34/166; 20.4 %), and bortezomib (19/166; 11.4%). The median time from diagnosis to 2nd line therapy was 10.3 months. Second line regimens received included: corticosteroid, 108/166 (65.1%); alkylator, 76/166 (45.8 %); IMID, 46/166 (27.7%); and bortezomib, 46/166 (27.8%). The median time from diagnosis to 3rd line therapy was 19.8 months. For the 53 pts who received 3rd line treatment, regimens included: corticosteroid, 41/53 (77.3%); IMIDs, 17/53 (32.1%); alkylator, 17/53 (32.1%); bortezomib, 12/53 (22.6%). The median time from diagnosis to 4th line therapy was 31.8 months. For the 20 pts receiving 4th line treatment, regimens included: corticosteroids, 15/20(75%); alkylator, 12/20 (60%), bortezomib, 7/20 (35%); and IMIDs, 4/20(20%). Eighty-three pts have died. The 1 year mortality of our study population was only 8%. The median follow-up of surviving pts was 47.6 months. Figure 1 demonstrates Kaplan-Meier estimates of overall survival (OS) from initiation of each successive therapy. The median OS from initiation of 1st, 2nd, and 3rd lines of treatment were 65, 49.5 and 36.7 months respectively. The median OS after the 4th line of treatment was not reached. The 4 year OS rates from initiation of 1st, 2nd, 3rd and 4th lines of therapy were 58%, 50.8 %, 50 % and 53.4% respectively. Conclusion: Outcomes among relapsed or refractory AL pts are better than what one might expect. Multiple publications have demonstrated that the 1 year mortality of newly diagnosed AL is in the vicinity of 40%. Thereafter, the rate at which pts die dramatically decreases. Our study provides explicit data characterizing the fate of pts unfortunate enough to require additional therapy but fortunate enough to survive past the exceedingly high risk period of death that occurs within 6–12 months of diagnosis. These data provide useful information for benchmarking future trials for treatments of AL amyloidosis. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 1362 The role of anti-tumor immunity is not well understood in CLL but does have the potential to be manipulated to improve treatment responses. We studied the predictive values of 43 immune phenotypes in patients enrolled in a clinical trial of early treatment of high risk CLL. The study enrolled 33 patients with CLL diagnosed using standard NCI-WG96 criteria who had previously untreated early - intermediate stage disease and did not meet NCI-WG96 guidelines for conventional treatment. High risk disease was defined as at least one of the following: 17p13 deletion; 11q22 deletion or unmutated IGHV together with either expression of ZAP-70 (>20%) or CD38 (>30%). Patients were treated with GM-CSF 250 mcg sc 3 × week × 5 weeks, alemtuzumab sc with dose escalation over 3 days then 30 mg/d 3 × week × 4 weeks, and rituximab 375 mg/m2 weekly × 4 weeks for a total duration of therapy of 5 weeks. We measured immune phenotypes (representing Tregs, naïve, effector memory, central memory T cells, B cells, NK cells, monocytes, among others) at the time of enrollment, through treatment and at 1 year after enrollment in 28 patients. We identified pre-treatment immune phenotypes that correlated with disease burden (as measured by the number of circulating B cells). Increased disease burden was correlated with increased absolute numbers of CD3+, CD8+, CD4+ T cells, NK (CD56+CD16+), Dr+CD8+ T cells, and Tregs (CD4+CD25+CD127+); p<0.001. The disease burden was inversely related to the number of circulating monocytes (p<0.01) and unrelated to the circulating number of naïve T cells. We repeated the pre-treatment phenotype correlation studies using the CD19+ cell counts 12 months after treatment for 13 patients who have completed the final analysis. Interestingly, the number of naïve CD4 and CD8 cells (CD4+RA+62L+CD27+ and CD8+RA+62L+CD27+) of the patient prior to treatment correlated with CD19+ cells 12 months after treatment (p=0.024 and p=0.002 respectively; n=13). Finally, we correlated pre-treatment immune phenotypes with time to progression. Again, an elevated T cell phenotype (CD4+RA+62L+CD27- as a percent of CD4+ cells) correlated to increased time to progression (p=0.04; n=28). It is noteworthy that the naïve T cell phenotype did not correlate with tumor burden prior to therapy. Thus, while pre-treatment lymphocyte expansion is commensurate with tumor burden in CLL, the frequency and numbers of naïve T cells prior to treatment has some predictive value to response to treatment. These data suggest that CLL induces the expansion of lymphocytes, suppresses monocytes with an induction in naïve T cells acting as an indicator of higher B cell counts at 12 months in patients with durable remissions. Disclosures: Zent: Genzyme: Research Funding; Genentech: Research Funding; Novartis: Research Funding; G.S.K.: Research Funding.