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

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

Abstract Abstract 4152 BACKGROUND: Patients with biologically aggressive chronic lymphocytic leukemia (CLL) characterized by being refractory to purine nucleoside analogues and/or possessing the cytogenetic abnormality del (17p13) have poor clinical outcomes with a median survival of <3 years. Several groups have reported that nonmyeloablative allogeneic stem cell transplant (alloSCT) provides long-term disease control in a subset of high-risk CLL patients. The Seattle group also recently reported that alemtuzumab use prior to alloSCT may increase the risk of early relapse/progression (Sorror, ASH 2010). This is a potentially critical observation since alemtuzumab is one of the few active agents in patients with del(17p13) and is frequently used for pre-transplant debulking in patients with this genetic defect. METHODS: We performed retrospective analysis of 38 CLL patients who underwent nonmyeloablative alloSCT for CLL at the Mayo Clinic between 2003 and 2011. The relationship between transplant outcome and debulking regimen used immediately prior to alloSCT, disease status at the time of alloSCT, post transplant engraftment, GVHD development was explored. The degree of marrow involvement prior to alloSCT was assessed using the leukemia index calculated by multiplying the % involvement by CLL cells and the % cellularity. RESULTS: Median age at the time of alloSCT was 55.5 (range, 29–69) and 13 patients (34%) were female. The median duration from CLL diagnosis to alloSCT was 4.7 years. Thirty-two patients (84%) had received more than 3 prior therapies prior to alloSCT. Thirty-seven patients (97%) had received purine analog-based therapies, 18 (47%) patients had received alkylating agents and 25 (66%) had received alemtuzumab. 33 (87%) patients were purine analog refractory. On cytogenetic evaluation by FISH, 17 (45%) patients had del(17p13), 10 (26%) had del(11q23) and 1 (3%) had del(6q23). Nine patients were in complete remission (CR) by IWCLL 2008 criteria at the time of alloSCT and 7 patients were in complete remission with incomplete marrow recovery (CRi). Of the remaining 22 patients, 20 had either a partial remission or stable disease at the time of alloSCT and 2 had progressive disease. Two (5%) patients had bulky lymphadenopathy (≥ 5cm by CT imaging), 11 (29%) patients had splenomegaly, and 8 (21%) patients had more than 30% CLL involvement by the leukemia index. Fludarabine (F) and 200cGy total body irradiation (TBI) was used as the conditioning regimen for 35 patients (92%). 22 patients received unrelated donor grafts (15 matched, 7 mismatched), and 16 received related donor grafts (all matched). Patients received mycophenolate (MMF) and either tacrolimus (unrelated grafts) or cyclosporin (related grafts) for graft versus host disease (GVHD) prophylaxis. 31 out of 37 evaluable patients (84%) achieved initial 100% donor chimerism (22 within 100 days) and 24 (63%) developed ≥grade 2 GVHD. After median follow-up of 1 year (range = 0–5.4 years), 26 of 38 patients (68%) are alive, and the median overall survival is 47 months. To date, 13 (34%) have experienced CLL progression/relapse requiring accelerated taper of GVHD prophylaxis (n = 2), donor lymphocyte infusion (n = 5), or chemo/immunotherapies (n= 6). For the 12 deceased patients, causes of death was CLL relapse/progression (n = 5), GVHD (n = 2) and infectious or other complications without CLL relapse/progression (n = 5). Pre-transplant use of alemtuzumab (A) within 3 months of transplant was the only pre-transplant characteristics associated with overall survival (OS). Median OS of patients receiving A within 3 months of alloSCT was 1 year compared to not reached for those who did not receive A within 3 months of alloSCT (p = 0.011; Figure 1a). A trend was also observed between alemtuzumab use within 12 months of alloSCT; however, it did not reach statistical significance (p=0.069; Figure 1b). No statistically significant associations between residual marrow involvement at time of alloSCT (p = 0.93), type of graft (p = 0.65), or presence of del (17p13) (p = 0.13), number of prior treatments (p = 0.45), patient age (p = 0.80) or disease status at time of alloSCT (p = 0.21) were observed. CONCLUSION: In this cohort of patients with high risk CLL, alemtuzumab use prior to transplant was the greatest predictor of OS after nonmyeloablative alloSCT. Non-alemtuzumab based debulking strategies need to be developed for patients with del (17p13). Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 700 Studies conducted over the last 10 years suggest that 3–5% of the general population over age 40 harbor a clonal population of lymphocytes of CLL phenotype when evaluated using sensitive flow cytometry assays (Rawstron Blood 100:635, 2002; Ghia Blood 103:2337, 2003). This discovery led to creation of the new diagnostic entity, monoclonal B-cell lymphocytosis (MBL; Marti BJH 130:325, 2005), which is considered the precursor state to chronic lymphocytic leukemia (CLL) (Landgren NEJM 360:659, 2009). The current diagnostic criteria for CLL-like MBL specify patients have a clonal B-cell population with appropriate phenotype, an absolute B-cell count <5 × 10^9/L, and no characteristics of a lymphoproliferative disorder (e.g. lymphadenopathy, organomegaly, B-symptoms) while individuals with a clone of CLL phenotype and B-cell count >5 × 10^9/L or who have lymphadenopathy are classified as having CLL (Hallek Blood 111:5446, 2008). The natural history of MBL appears to differ based on the absolute B-cell count. From an epidemiologic perspective, the majority of individuals with MBL have very small clonal lymphocyte populations, B-cell counts within the normal range, and appear to be at low likelihood of developing CLL (Rawstron ASH 2009). Such individuals with “low count” MBL do not appear to be at increased risk of death (Rawstron ASH 2009). From a clinical perspective, most patients with MBL are identified due to lymphocytosis and have B-cell counts between 3–5 × 10^9/L. While such individuals with “high count” MBL progress to require treatment for CLL at a rate of ~1.5% per year (Shanafelt JCO 27:3959, 2009), whether their survival differs from that of age- and sex-matched individuals is unknown. Conceptually, patients with the precursor state to malignancy should have a risk of death similar to those without the precursor state unless they progress to develop malignancy. To determine the impact of clinically “high count” MBL on survival, we compared the survival of 300 patients with clinically recognized MBL to the age- and sex-matched population. In addition, to explore whether the current B-cell threshold used to segregate MBL from CLL optimally classifies risk, we also evaluated the survival of 94 patients with newly diagnosed Rai 0 CLL and a B-cell count between 5–10 × 10^9/L and 218 newly diagnosed Rai 0 CLL patients with an ALC > 10 × 10^9/L to the age- and sex-matched population. Although it appeared slightly lower, the survival of patients with clinical recognized MBL (n=300, median age 68.6) was not statistically different than age- and sex-matched individuals (p=0.14; Figure 1A). In contrast, the survival of patients with newly diagnosed Rai 0 CLL and a B-cell count between 5–10 × 10^9/L (p=0.03) and newly diagnosed Rai 0 CLL patients with an ALC > 10 × 10^9/L (p=0.00018) were both significantly shorter than expected for the age- and sex-matched population. While these data are consistent with the designation of clinically recognized MBL as a premalignant condition, a more nuanced story emerged when the individuals with clinically recognized MBL were stratified by the CD38 status of the B-cell clone. Although the survival of individuals with a CD38- clone (n=213; 78%) was not different than age- and sex-matched individuals (p=0.14), the survival for those with a CD38+ clone (n=59; 22%) was substantially shorter than the age- and sex-matched population (p=0.0002; Figure 1B). Collectively, these data provide additional clinical evidence in support of the 5 × 10^9/L B-cell threshold to distinguish between MBL and CLL as patients with a B-cell count between 5–10 × 10^9/L or higher are at increased risk of death compared to the age- and sex-matched population. However they also suggest that, in addition to absolute B-cell count, biologic characteristics of the B-cell clone influence survival in patients with clinically recognized MBL. Additional studies are needed to determine whether such characteristics should be considered when classifying individuals with B-cell clones <5 × 10^9/L as having a premalignant or malignant condition. Figure 1A: Survival of patients with clinically recognized MBL (n=300) compared to the age- and sex-matched general population Figure 1A:. Survival of patients with clinically recognized MBL (n=300) compared to the age- and sex-matched general population Figure 1B: Survival of patients with clinically recognized MBL by CD38 status compared to the age- and sex-matched general population. CD38- p=0.14, CD38+ p=0.0002 Figure 1B:. Survival of patients with clinically recognized MBL by CD38 status compared to the age- and sex-matched general population. CD38- p=0.14, CD38+ p=0.0002 Disclosures: Shanafelt: Celgene: Research Funding; Hospira: Research Funding; Genentech: Research Funding. Off Label Use: Lenalidomide. Kay:Celgene: Research Funding; Hospira: Research Funding; Genentech: Research Funding. Zent:Genzyme: Research Funding; Genentech: Research Funding; Novartis: Research Funding; G.S.K.: Research Funding.

Abstract Abstract 3881 Background: Chronic lymphocytic leukemia (CLL) is largely incurable neoplasm of the blood and has one of the highest familial risks of disease among cancers. Monoclonal B-cell lymphocytosis (MBL) with a CLL immunophenotypic profile (i.e., CLL-like MBL) is a precursor state to CLL. In the general adult population, the prevalence rate of MBL is 5–9% and increases with age. This is in contrast to the 13–18% rate of MBL in first-degree relatives of CLL patients from high-risk families (defined here as families with at least two confirmed living cases of CLL). Few longitudinal studies of MBL incidence exists. One study evaluated MBL status over time in a cohort of individuals with MBL from a rural valley in Northern Italy. Our work herein will be the first to evaluate the status of MBL over time in relatives of CLL patients from high-risk families. Methods: Using a cohort of 41 high-risk CLL families, we evaluated the MBL status and clonal blood B-cell counts in 94 relatives of CLL patients at two time points at least 1 year a part. High sensitivity, multi-color flow cytometry was performed on fresh or previously frozen blood samples in three laboratories: Duke University, the US Food and Drug Administration, and Mayo Clinic. The number of cell events collected for flow cytometry evaluation varied from 1 to 5 x105 cells. To assure concordance across flow cytometry laboratories, 15 samples were evaluated at multiple labs. The concordance of MBL calling was a 100%. We defined three monotypic B-cell subsets as CLL-like MBL (CD5+ CD20dim), atypical MBL (CD5+ CD20+), and non-CLL like MBL (CD5−CD20+). Results: Of the 94 relatives, the median age at consent was 57 years (range 42–93) and 39% were male. At the initial MBL screening, 70 (74%) relatives had normal immunophenotype (NIPT) and 24 (26%) had MBL (1 atypical MBL, 3 non-CLL like MBL, and 20 CLL-like MBL). Seven of the 24 individuals with MBL had monoclonal B-cell counts available at baseline screening; median = 147.4 cells/uL (range 22.7–1663). The 94 relatives underwent repeat evaluation with a median follow up time of 1.8 years (range 1–6). At the second evaluation, we found an increase in the prevalence of MBL, with 11 of the 70 (12%) initially NIPT relatives developing a new MBL clone (10 CLL-like, 1 non-CLL like). These 11 incident MBL cases were from 9 families with 2 families each having 2 relatives changing MBL status. The median number of monoclonal B-cells in these 11 incident MBL cases was 0.58 cells/uL (range 0.38–60.3). The 23 out of the 24 relatives with baseline MBL (20 CLL-like MBL and 3 non-CLL like MBL) had a persistent MBL clone. Only 6 of these 23 individuals had monoclonal B-cell counts available at both time points, and among these 6, the clonal B-cell counts decreased at follow-up screening; median difference −64.1 cells/uL (range −1204.3– 10.5). The second evaluation of the initial atypical MBL relative had too few clonal cells for flow assessment. Conclusion: We found that our CLL-like MBL clones persisted over the period of observation in relatives from high-risk CLL families; this finding is similar to that previously reported using a population-based study conducted in Northern Italy. Notably, 12% of relatives from high-risk CLL families developed incident MBL during just 2 years of follow up. Although these MBL clones are all low count (< 1500 cells/uL), these data provide further evidence that MBL is a marker of inherited predisposition to CLL. It will be important to see how our rate of change of MBL status compares to that of the general population as we continue to follow our cohort of CLL families. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 3903 INTRODUCTION: Monoclonal B-Cell Lymphocytosis is an asymptomatic hematologic condition characterized by the presence of small populations of clonal B-cells in the blood or bone marrow occurring in 3–5% of the general population over age 40. Although MBL is considered the precursor state to CLL and other sub-types of indolent non-Hodgkin Lymphoma, most individuals with MBL will not develop a B-cell malignancy. It is unknown, however, whether individuals with MBL may be at risk for other adverse outcomes associated with CLL, such as increased risk of infection. To explore this aspect, we evaluated the risk of hospitalization for infection among patients with clinically recognized MBL and compared this to a cohort of general medicine patients and a cohort of CLL patients. METHODS: The Mayo Clinic Rochester (MCR), a tertiary referral center in rural southeastern Minnesota, is also the primary hematology center for southeastern Minnesota, northern Iowa, and western Wisconsin. There are no metropolitan areas or hematology specialty centers within a 50 mile radius. To explore the natural history of infection in a local, community dwelling cohort of individuals with clinically identified, CLL-phenotype MBL, we used the Mayo Clinic CLL database to identify all patients with newly diagnosed MBL seen in the MCR Hematology Division between January 1999 and December 2009. Analysis was limited to MBL cases who resided within 50 miles of MCR. The comparison cohort consisted of 689 adult patients also resided within 50 miles of MCR who were seen for a general medical examination between September 2002 and December 2009 and who were enrolled as controls in a case-control study of non-Hodgkin lymphoma. Rates of infection among individuals with MBL were also compared to a cohort of 174 patients with newly diagnosed CLL diagnosed in the same time interval and who resided within 50 miles of MCR. All hospitalizations in these 3 groups were audited to document hospitalization with infection including cross-referenced with the electronic Mayo Clinic infection database, which contains all culture results obtained from hospitalized patients at MCR. Serologies and viral assays (e.g. CMV viral load) were also reviewed. Patients whose cultures were negative but who were given a clinical diagnosis of infection (e.g. pneumonia) and who were treated with a full course of antibiotics were considered to have a culture negative infection. Among the cases, only hospitalizations after CLL or MBL diagnosis were considered. RESULTS: In May 2010, there were 524 individuals in the Mayo Clinic MBL/CLL Database with the diagnosis of CLL-phenotype MBL made between January 1999 – December 2009. Of these, 154 (29%) patients resided within a 50 mile radius of Mayo Clinic and were considered a local, community-based cohort of MBL patients. Median age at MBL diagnosis for these 154 patients was 70 years (range 45–94). After median follow-up of 4.2 years (range 0.3–10.6 years), 25 (16%) individuals with MBL were hospitalized with infection as compared to 20/689 (3%) individuals in the control population (odds ratio MBL relative to control=6.5; p<0.001) and 32/174 (18%) in the cohort of patients with newly diagnosed CLL (OR MBL relative to CLL=0.9; p=0.61) (Figure 1). The 25 MBL patients hospitalized for infection were hospitalized a total of 39 times (median 1 hospitalization for infection per individual). A specific infectious organism was identified by cultures or serologies in 8/39 (21%) hospitalizations among individuals with MBL, 10/27 (37%) hospitalizations for infection among controls, and 60 (63%) of the 89 hospitalizations for infection in CLL cases. Finally we performed a pooled multivariable analysis of all patients (n=1017) adjusting for age, sex, presence of MBL, diagnosis of CLL, and whether patients with CLL or MBL received treatment for CLL during follow-up. All factors were independently associated with risk of hospitalization for infection [Age (per year, OR=1.02, p=0.02), sex (male, OR=2.6, p=0.001), presence of MBL (OR=3.3, p<0.001), diagnosis of CLL (OR=3.0, p=0.002), and treatment for CLL (OR=3.3, p<0.001)]. CONCLUSIONS: In this cohort study, patients with newly diagnosed clinical-MBL had a 6.5 fold risk of hospitalization for infection relative to the control cohort. MBL was an independent risk factor for hospitalization for infection after controlling for age, sex, and treatment. Disclosures: Zent: GlaxoSmithKline: Research Funding; Genentech: Research Funding; Genzyme: Research Funding. Kay:Biothera: Research Funding; Clegene: Research Funding; Cephalon: Research Funding; Genentech: Research Funding; Glaxo Smith Kline: Research Funding; Hospira: Research Funding; Novartis: Research Funding; Supergen: Research Funding; Calistoga: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Emergent Biosolutions (Formerly Trubion): Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 2486 In patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL), deletion of 17p13 (17p-) resulting in loss of one allele of TP53 and 11q22 (11q-) resulting in loss of one allele of ATM predicts a significantly poorer prognosis. These lesions are nearly always monoallelic in patients with CLL and their consequences are considerably influenced by the integrity of the remaining allele. A dysfunctional mutation in the remaining allele, resulting in more aggressive disease, ultimately occurs in most patients with 17p- (> 80%) but fewer patients with 11q- (30%). Because ATM and TP53 are integral components of the p53 pathway, we hypothesize that patients with clonal 17p- and 11q- in the same CLL cell would have a worse prognosis than patients with only one of these deletions. To test this hypothesis, we compared the clinical outcomes (overall survival (OS) and time to treatment (TTT)) of patients with 17p- and 11q- in the same cell to patients with either 17p- or 11q- or neither defect. Methods: We used the Mayo Clinic CLL Database and the Cytogenetics laboratory database to identify all CLL patients seen in the Division of Hematology from 1/1/1995-3/29/2012 who had FISH analysis. Data was extracted on demographics, date of first (sentinel) occurrence of 11q- and 17p-, treatment, and vital status. FISH studies were performed on uncultured blood or bone marrow by standard methods using the Mayo Clinic CLL FISH panel of centromere specific control probes and probes for 6q (MYB), 11q (ATM), 13q14, and 17p (TP53) deletions, trisomy 12 and IGH. Patients with both 11q- and 17p- were further tested with the Abbott Molecular (Des Plaines, IL) ATM/TP53 combination probe set, to determine if the 11q and 17p deletions were present in the same cells. Patients were grouped into 4 cohorts: 1) clonal 17p- and 11q-; 2) 17p- only; 3) 11q- only; and 4) neither 17p- nor 11q-. OS and TTT were calculated and Kaplan-Meier curves were drawn from sentinel FISH date until their last known alive date or death date for OS and until treatment or last known untreated date for TTT. We censored all data on 3/29/2012 and analyzed using log-rank tests from date of sentinel FISH. Sanger sequencing of exons 4–9 of TP53 was done in samples from 15 patients with clonal 17p- and 11q- with an available sample collected within 1 year of the sentinel FISH test and without treatment in that interval. All mutations were confirmed by a repeat assay and analyzed for their predicted effect using the UMD p53 database. Results: We studied 2234 CLL patients with a median follow-up of 4.8 years (range 0 – 29.6 years). Twenty (1%) patients had clonal 17p- and 11q-, 159 (7%) had 17p-, 251 (11%) had 11q-, and 1804 (81%) had neither 17p- nor 11q-. Median OS from sentinel FISH study (Figure 1) was significantly shorter in the clonal 17p- and 11q- group (1.9 years), 17p- group (3.2 y), and 11q- group (4.7 y) compared to the patients with neither 17p- nor 11q- (9.2 y) (p < 0.0001). OS was significantly shorter in the patients with clonal 17p- and 11q- cells vs those with 17p- (p=0.048). TTT was also significantly different among the 4 groups (p<0.0001) with median time to treatment of 0.07 y in the clonal 17p- and 11q-, 0.2 y in 17p-, 0.7 y in 11q-, and 5.6 y in the neither 17p- nor 11q- group. TP53 analysis performed in samples from 15 patients with clonal 17p- and 11q- showed that 10 patients had mutations in the remaining TP3 allele predicted to be deleterious to normal p53 protein function. Median OS was 2.1 years for those with TP53 mutations and 0.9 years for those without mutations (p = 0.03) and median TTT was 0.25 years for those with TP53 mutations and 0.05 years for those without mutations (p = 0.049). Conclusion: “Double hit” clonal deletions of 17p and 11q occurred in 1% of this large cohort of CLL patients and were associated with a significantly poorer prognosis. We recommend that testing for this “double hit” phenomenon, by use of an ATM/TP53 combination probe set, should thus be performed in all patients with 17p- and 11q- on FISH analysis because these patients have a poorer prognosis than those with either 17p- or 11q- and could be candidates for novel therapies. The finding that dysfunctional TP53 mutations in the remaining allele did not worsen prognosis in patients with clonal 17p- and 11q- suggests that monoallelic deletion of both ATM and TP53 in a clone of CLL cells is sufficient to disable p53 pathway function in these patients. Future study of clonal 17p- and 11q- CLL could thus be informative in this regard. Disclosures: Kay: Celgene: Research Funding. Shanafelt:Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding. Zent:Biothera: Research Funding; Genzyme: Research Funding; Genentech: Research Funding; Novartis: Research Funding; GlaxoSmithKline: Research Funding.

Abstract Introduction: Ibrutinib has shown remarkable safety and efficacy in CLL. Due to CYP3A4 (3A4) metabolism, the concurrent use of 3A4 inhibitors/inducers with ibrutinib should be avoided. Ibrutinib is also associated with bleeding complications, in part due to effects on collagen-mediated platelet aggregation, thus caution is advised with the simultaneous use of anticoagulant (AC) and antiplatelet agents. It is unknown what proportion of CLL patients starting ibrutinib therapy in routine practice are on these medications. We conducted a retrospective study to evaluate these aspects in a large cohort of CLL pts treated with ibrutinib outside the context of clinical trials. Methods: Following IRB approval, consecutive CLL pts who initiated ibrutinib off-protocol at Mayo Clinic, Rochester, MN from November 2013 through July 2015 were evaluated. A medication review for drug-drug interactions was performed by a pharmacist on all pts. Baseline characteristics, concomitant medications, and toxicity were recorded. Time to toxicity and ibrutinib discontinuation were analyzed by Kaplan Meier and cumulative incidence methods accounting for competing risk of death, respectively. Results: Ninety-six CLL pts started ibrutinib. Median age was 66 years and 64 (67%) were male. Ibrutinib indications included: relapsed/refractory CLL (n=84), treatment-naïve CLL with del17p (n=8), and CLL with Richter's transformation (n=4). Approximately 80% had unmutated IGHV and 45% had del17p or del11q on FISH. Upon initial pharmacy consult prior to ibrutinib, the median number of concomitant medications was 9 (range, 1-31). Sixty (63%) pts were taking concurrent medications increasing their risk of ibrutinib toxicity and 4 (4%) pts were on drugs potentially reducing ibrutinib efficacy. At ibrutinib initiation, 16 (17%) pts were on concomitant 3A4 inhibitors. This included 9 (9%) on moderate 3A4 inhibitors (fluconazole, diltiazem, imatinib, cyclosporine) and 7 (7%) on strong 3A4 inhibitors (voriconazole, posaconazole, clarithromycin, itraconazole). In 4 pts, the 3A4 inhibitor was switched to another agent or discontinued to allow standard 420 mg daily dosing. Ibrutinib was initiated at 140 mg daily in 7 pts on moderate 3A4 inhibitors and at 140 mg every 48 hours in 5 pts on strong 3A4 inhibitors. Four (4%) pts were on strong 3A4 inducers (carbamazepine, rifampin, rifabutin) at the initiation of ibrutinib. The 3A4 inducer was discontinued prior to ibrutinib start in 3 pts, while the initial ibrutinib dose was decreased to 140 mg every 48 hours in the remaining patient (also on 2 strong 3A4 inhibitors). During the course of ibrutinib, an additional 8 (8%) pts were started on 3A4 inhibitors/inducers which necessitated dose modifications. Upon commencing ibrutinib, 9 (9%) pts were on concomitant AC (6 warfarin, 3 enoxaparin). Due to significant bleeding risk, warfarin was switched to enoxaparin in 2 pts, to aspirin (ASA) in 1 and warfarin was discontinued in 1. In 2 pts, an alternative AC could not be used so ibrutinib was begun at 140 mg daily and titrated upward. Twenty-nine (30%) pts were on ASA (3 [3%] also on clopidogrel) at ibrutinib initiation. Nineteen (20%) pts were on selective serotonin release inhibitors (SSRIs), and 9 (9%) were on NSAIDs. Thirteen (13%) pts were on fish oil and 24 (25%) were on herbal medications; all of which were discontinued prior to starting ibrutinib. Ten (10%) pts had clinically significant bleeding on ibrutinib including 4 (4%) requiring hospitalization (1 subdural hematoma). Of these 4 pts, 1 was on enoxaparin, 2 were on a SSRI and 1 a NSAID. Six pts had minor bleeding necessitating a dose reduction of ibrutinib to 140-280 mg daily. After 16 months follow-up, the risk of bleeding was 21% (95% CI: 1-37%, Figure). After a median follow-up of 7.6 months, 73 (76%) pts remain on ibrutinib. There was no difference in rates of discontinuation of ibrutinib between patients who were on 3A4 inhibitors/inducers versus those who were not. Conclusion: In the "real-world" setting, 2 out of 3 CLL patients commencing ibrutinib therapy is on a concomitant medication with a potentially clinically significant drug-drug interaction with ibrutinib. These findings have implications for the practicing hematologist who must maintain a high degree of vigilance when prescribing ibrutinib to CLL pts. We highly recommend a formal medication review by a clinical pharmacist in all patients initiating ibrutinib. Figure 1. Figure 1. Disclosures Ding: Merck: Research Funding. Kay:Hospira: Research Funding; Tolero Pharma: Research Funding; Genentech: Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding. Shanafelt:Glaxo-Smith_Kline: Research Funding; Pharmactckucs: Research Funding; Celgene: Research Funding; Genentech: Research Funding; Cephalon: Research Funding; Janssen: Research Funding; Hospira: Research Funding; Polyphenon E Int'l: Research Funding.

Abstract BACKGROUND: Consistent with the advanced age at diagnosis (median age ~70 years), most patients with CLL have co-existent health problems. These co-morbidities influence the ability of many CLL patients to tolerate aggressive chemotherapy-based treatment and can also contribute to treatment-related side effects. The recent development of novel signaling inhibitors, particularly the Bruton's tyrosine kinase inhibitor ibrutinib, has been a major treatment advance for patients with CLL. While these agents generally have favorable toxicity profiles relative to standard chemotherapy-based treatments, they are chronic therapies which patients typically stay on for an extended period. Preliminary data suggests ibrutinib may be associated with an increased risk of atrial fibrillation (Afib). In one randomized trial comparing ibrutinib to ofatumumab in patient with relapsed CLL, incident grade 3+ Afib occurred in 3% of ibrutinib treated patients compared to 0% of ofatumumab treated patients (NEJM 371:213). Despite these observations, the baseline frequency of Afib in patients with CLL is not well described - particularly incident atrial fibrillation acquired during the course of the disease. METHODS: We used the Mayo Clinic CLL database to evaluate the prevalence of Afib at the time of CLL diagnosis as well as the incidence of Afib during follow-up. All patients with a new diagnosis of CLL after January 1995 who were seen at Mayo within 12 months of diagnosis were included in the analysis. Afib was identified by chart review and by billing search using ICD9 codes. Data on co-morbid conditions associated with risk of Afib was also abstracted (e.g. hypertension, coronary artery disease [CAD], valvular heart disease, cardiomyopathy, diabetes mellitus, pulmonary disease). RESULTS: A total of 2444 patients with newly diagnosed and previously untreated CLL were seen at Mayo Clinic within 12 months of diagnosis between 1/1995 and 4/2015.Median age at diagnosis was 65 years and 1626 (66.5%) patients were men. A history of Afib was present at the time of CLL diagnosis in 148 (6.1%) patients. Four additional patients had Afib documented in the record but the precise date of onset (e.g. prior to or after CLL diagnosis date) could not be determined. Age, male sex and history of CAD, valvular heart disease, cardiomyopathy, hypertension, and diabetes were associated with a greater likelihood of having a history of Afib at the time of CLL diagnosis (all p&lt;0.01). Among the 2292 patients without a history of Afib at CLL diagnosis, 139 (6.1%) had incident Afib during the course of follow-up for their CLL. The incidence of Afib among patients without a history of Afib at diagnosis was approximately 1%/year (Figure 1A). Considering both Afib present at the time of CLL diagnosis or acquired during the course of the disease, 291 (11.9%) of the 2444 patients in this cohort experienced Afib (median follow-up: 59 months). Among patients without Afib at the time of CLL diagnosis, the following characteristics at the time of CLL diagnosis were associated with an increased risk of incident Afib on multivariate analysis: older age (age 65-74 HR=2.4, p&lt;0.001; age ≥75 HR=3.6, p&lt;0.001), male sex (HR=1.8, p=0.004); valvular heart disease (HR=2.4, p=0.007), and hypertension (HR=1.5; p=0.02). A predictive model for acquired Afib was subsequently constructed based on the independent factors in the Cox regression model. An individual weighted risk score was assigned to each independent factor based on the regression coefficients of the HRs. The Afib risk score (range 0-7) was defined as the sum of the scores of these independent factors. The risk of incident Afib among patients with risk scores of 0-1, 2-3, 4, and 5+ is shown in Figure 1B. Rates for these 4 groups were significantly different (p&lt;0.001), with the 10-year Afib rates (95% C.I.) for those with a score of 0-1, 2-3, 4, and 5+: 4% (2-6%), 9% (6-13%), 17% (11-23%), and 33% (20-43%), respectively. CONCLUSIONS: A history of Afib is present in approximately 1 out of every 16 patients with newly diagnosed CLL. Among patients without Afib at diagnosis, the incidence rate of Afib is ~1%/year. The risk of incident Afib in newly diagnosed CLL patients can be predicted based on age, sex, and co-morbid health conditions present at diagnosis. These data provide context to help interpret data on the frequency of Afib in CLL patients treated with ibrutinib and other novel agents. Disclosures Shanafelt: Janssen: Research Funding; Polyphenon E Int'l: Research Funding; Glaxo-Smith_Kline: Research Funding; Cephalon: Research Funding; Genentech: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Pharmactckucs: Research Funding. Ding:Merek: Research Funding. Kay:Tolero Pharm: Research Funding; Hospira: Research Funding; Genentech: Research Funding; Pharmacyclics: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract INTRODUCTION. Although uncommon, involvement of the central nervous system (CNS) is the most common extramedullary manifestation of Chronic Lymphocytic Leukemia (CLL). Nonetheless, a broad array of conditions can lead to neurologic symptoms in CLL patients and distinguishing between clinically significant CLL involvement of the CNS and other etiologies can be challenging. The actual prevalence of CNS involvement by CLL is unknown, the only available data being case reports and small case series. METHODS. Between 01/1995 and 11/2014, 186 of the 4317 (4%) patients with CLL followed at our center underwent an MRI of the CNS (e.g. brain, spine) and/or a lumbar puncture (LP) with cerebral spinal fluid (CSF) analysis to evaluate neurologic symptoms. As the mere presence of CLL cells in the CSF is not diagnostic of clinically significant CNS disease, a final diagnosis of clinically significant CNS involvement by CLL was established by the collaborative review of the pathologist, neurologist and treating hematologist based on comprehensive work-up and multi-disciplinary evaluation. RESULTS. After evaluation, the etiology of neurologic symptoms was clinically significant involvement of the CNS by CLL in 19 (10%) patients, CNS Richter Syndrome (RS) in 15 (8%), infection in 42 (23%), autoimmune conditions in 31 (17%), other cancer in 9 (5%), and another etiology in 70 (37%). The sensitivity of LP to detect clinically significant CNS involvement by CLL was 89%, however its specificity was only 42% where CLL cells were also frequently observed in the CSF in concomitance with inflammatory processes, such as infections and autoimmune disease. Factors associated with clinically significant CNS involvement by CLL/RS were mutated IGHV (p=0.04), low CSF glucose (p=0.02), elevated CSF total nucleated cells (TNC)(p=0.004), lymphocytes (p=0.02) and CLL cells, both as absolute count (p=0.05) and percentage of TNC (p=0.02). Median OS among patients with clinically significant CNS involvement by CLL or RS were 21 and 11 months, respectively. Median OS for patients with neurological symptoms secondary to infection was 6 months, to autoimmune process was 63 months, to other cancers was 19 months, and to other non-CLL related etiologies was 37 months. CONCLUSIONS. Clinically significant CNS involvement by CLL and RS are rare conditions. Neurologic symptoms in patients with CLL are attributable to non-CLL-related etiologies in the majority of cases, even when CLL B-cells are present in the CSF. Analysis of the CSF has high sensitivity but limited specificity to distinguish clinically significant CNS involvement by CLL from other etiologies. Comprehensive evaluation is required before attributing neurologic symptoms to CLL. Disclosures No relevant conflicts of interest to declare.