Citations

Abstract Background: Historically, CLL patients with cytopenia were thought to have a poor prognosis and cytopenia is a key feature of CLL clinical staging systems. The implications of cytopenia in CLL could have changed because of improved diagnostic accuracy, increased recognition of early stage disease, and better treatments. Newer data suggest that the etiology of cytopenia determines its prognostic importance in CLL. Patients with cytopenia caused by autoimmune disease (AID) are less likely to have the poor prognosis associated with patients with bone marrow (BM) failure. To determine the prognostic significance of cytopenia in patients with CLL, we performed an observational study at Mayo Clinic Rochester (MCR). Methods: We studied all patients with CLL seen in the Division of Hematology at MCR from 1 January 1995 to 31 December 2004 (n = 1,750). Cytopenia (hemoglobin < 10 g/dL or platelet count < 100 × 09/L) was considered due to BM failure in patients with extensive BM involvement by CLL (< 20% residual myeloid tissue on BM biopsy) or reticulocytopenia without other causes persisting > 3 months after CLL therapy. Cytopenia was attributed to AID in patients with autoimmune hemolytic anemia (AIHA), immune thrombocytopenia (ITP), pure red blood cell aplasia (PRCA), or autoimmune granulocytopenia (AIG). Results: Median age at diagnosis of CLL was 63.7 years (69% male). Cytopenia occured in 423 (24.2%) patients. In 303 patients, cytopenia was due to CLL (228 BM failure and 75 AID). In 120 patients cytopenia was due to CLL related factors (splenomegaly, n = 11; possible AID, n = 18; treatment of CLL, n = 16) or non CLL causes (other malignancy, n = 12; iron deficiency, n = 11; anemia of chronic disease, n = 10; renal failure, n = 6; drugs effect, n = 4; surgical blood loss n = 4). In 28 (6.6%) patients the cause of cytopenia was not definitively determined. Of the patients with BM failure, 97 (43%) had cytopenia at CLL diagnosis (70% male, median age 63.3 years [range 32–95]), The AID patients the median age of CLL diagnosis was 66.7 years (range 30–85) with 79% male. AID diagnoses were AIHA (n = 41), ITP (n= 35), PRCA (n=8), and AIG (n=3); 9 patients had > 1 AID. Survival from diagnosis of cytopenia was significantly better for patients with AID (median 9.1 years) than BM failure (median 4.4 years, p < 0.001). AID patients had a longer survival from diagnosis of CLL (median 12.4 years) versus the rest of the CLL population (median 9.5 years, p = 0.020) but patients with BM failure at diagnosis had a worse prognosis (median 6.2 years, p < 0.001). Conclusion: We show that the etiology of cytopenia in CLL patients determines its prognostic importance. Anemia and thrombocytopenia caused by BM failure, but not AID, are associated with a significantly worse prognosis. These data show the importance of accurate determination of the etiology of cytopenia in all patients with CLL. Cytopenia in patients with AID is not a marker of advanced stage disease; these patients often need different management compared to those with BM failure. Cytopenia due to AID versus BM failure can be difficult to distinguish and a BM study should be done in all patients considered for treatment. Patients with cytopenia due to AID cannot be meaningfully classified by current clinical staging systems. We believe that efforts to review the NCI-WG 96 criteria are timely and should consider the etiology of cytopenia in CLL patients.

Abstract Background Although hypogammaglobulinemia is a well-recognized complication in patients with chronic lymphocytic leukemia (CLL), its prevalence at the time of CLL diagnosis and association with novel prognostic markers and clinical outcomes are not well understood. Methods All patients seen at Mayo Clinic between 1/1995 - 4/2013 with newly diagnosed CLL (<12 months diagnosis) and who had baseline assessment of serum immunoglobulin G (IgG) were included in this analysis. Baseline demographic and clinical characteristics as well as serum IgG levels measured by either immunoassay or serum protein electrophoresis analysis were recorded. Based on the normal range for IgG at our laboratory, patients with serum IgG<757 mg/dL were classified as having hypogammaglobulinemia. Patients with IgG<757 were also further stratified by terciles (lower tercile: IgG<585 mg/dL; middle tercile: IgG 585-687 mg/dL, upper tercile: IgG 688-756 mg/dL). The relationship between hypogammaglobulinemia at diagnosis and prognostic parameters including immunoglobulin heavy chain (IGHV) gene mutation status, genetic abnormalities detected by fluorescence in-situ hybridization (FISH), and ZAP-70, CD38 and CD49d expression was assessed. Associations of hypogammaglobulinemia with time to first treatment (TTT) and overall survival (OS) was also evaluated. Results Of 1485 patients who met the eligibility criteria, 382 (26%) had hypogammaglobulinemia (median IgG=624 mg/dL) at the time of CLL diagnosis while the remaining 1103 (74%) had normal serum IgG levels (median IgG=1040 mg/dL). Baseline demographic and clinical characteristics of patients with and without hypogammaglobulinemia are shown in Table 1. When patients with hypogammaglobulinemia (IgG<757 mg/dL) were further stratified into terciles, patients in the lower tercile (n=127) were more likely to have advanced Rai stage (III-IV) at diagnosis (15% vs. 6% vs. 4%, p=0.008), be CD49d positive (56% vs. 43% vs. 32%, p=0.01), and have trisomy 12 on FISH testing (29% vs. 24% vs. 9%, p=0.005) compared to patients in the middle (n=127) and upper (n=128) terciles. After median follow-up of 4.2 years, 479 (32%) patients had received treatment for CLL, and 328 (22%) patients had died. The median TTT for patients with hypogammaglobulinemia was 3.8 years compared to 7.4 years for patients with a normal IgG (p-value<0.001). Among patients with hypogammaglobulinemia, the median TTT for patients in the lower, middle, and upper terciles were 1.7, 2.9, and 6.3 years respectively (p-value<0.001, Figure 1). On multivariable analysis that included age, gender, Rai stage, IGHV mutation status, FISH risk category and hypogammaglobulinemia, the following were independently associated with a shorter TTT: advanced (III-IV) Rai stage (hazard ratio [HR] =15.3, p<0.0001); intermediate (I-II) Rai stage (HR=3.0, p<0.0001); unmutated IGHV (HR=2.6, p=<0.0001); and hypogammaglobulinemia (HR=1.5, p=0.02). Conclusion In this large cohort study, approximately one-quarter of CLL patients had a low serum IgG level at the time of diagnosis. High-risk features, including advanced Rai stage and expression of CD49d, were associated with greater risk of hypogammaglobulinemia at the time of diagnosis. Patients with hypogammaglobulinemia at diagnosis had shorter TTT, a finding that persisted after adjusting for other prognostic factors. Evaluation of acquired hypogammaglobulinemia during the course of follow-up among patients who initially had normal IgG levels is ongoing. Disclosures: Shanafelt: Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding.

Abstract Background Chronic lymphocytic leukemia (CLL) can effect renal function in a variety of ways including direct infiltration of the kidney, ureteral obstruction by lymphadenopathy, and treatment related tumor lysis syndrome (uric acid nephropathy). Rarely, CLL has also been reported to be associated with light chain nephropathy, renal amyloidosis, membranoproliferative glomerulonephritis (MPGN), granulomatous interstitial nephritis (GIN), and minimal change disease (MCD). Nearly all the data on the effects of CLL on renal function is at the case report level. We systematically evaluated the prevalence of renal insufficiency at diagnosis as well the incidence of acquired renal insufficiency during follow-up in a large cohort of patients with newly diagnosed CLL to more accurately define the effects of CLL on the kidney and its impact on clinical outcomes. Methods Between January 1995 -February 2013, previously untreated CLL patients seen in the Division of Hematology at Mayo Clinic at diagnosis (<12 months) and who had baseline assessment of serum creatinine were included in this analysis. Patients with serum creatinine (Cr) ≥1.5 mg/dL at baseline were classified as having renal insufficiency at diagnosis. Patients who initially had baseline creatinine <1.5 mg/dL but who developed a Cr≥1.5 mg/dL during the course of their disease were considered to have acquired renal insufficiency. Results Existing renal insufficiency at the time of CLL diagnosis: Of 2047 patients who met the eligibility criteria, 153 (7.5%) patients had renal insufficiency (Cr≥1.5 mg/dL) at the time of CLL diagnosis including 15 (0.7%) with a Cr≥3 mg/dL. Renal insufficiency was also more common among men (9.3% vs. 3.9%; p<0.00001), those with advanced stage disease (Rai 0=7.0%; Rai I-II=6.4%, Rai III-IV=20.2%; p<0.0001), and CD49d positive patients (6.8% vs. 3.8%; p<0.038). Patients with renal insufficiency at diagnosis were also older (median age 72.2 vs. 63.9; p<0.0001). No difference in the prevalence of renal insufficiency at diagnosis was observed based on cytogenetic abnormalities detected by FISH or CD38, ZAP-70 or IGHV gene mutation status. Although renal insufficiency at diagnosis was strongly associated with OS on univariate analysis (p<0.001), no association was observed between renal insufficiency and TTT or OS on multi-variate analysis adjusting for age, sex, and Rai stage. Acquired renal insufficiency during CLL disease course: Among the 1894 patients with normal renal function at diagnosis, 304 (16.1%) acquired renal insufficiency (Cr≥1.5 mg/dL) during the course of their CLL disease course including 43 (2.3%) with peak Cr≥3 mg/dL. In addition to age (older) and male sex, a number of CLL disease characteristics were associated with a higher likelihood of acquired renal insufficiency including: IGHV UM (OR=2.0; p=0.0001), unfavorable FISH (del17p- or 11q-; OR=2.0; p=0.001), and being CD49d+ (OR=1.8; p=0.002), ZAP-70+ (OR=1.6; p=0.004), or CD38+ (OR=1.4; p=0.0.032),. Shorter TTT (p<0.001) and OS (P<0.001) was observed among patients with initially normal creatinine who acquired renal insufficiency (Figure 1A and 1B). On MV analysis adjusting for age, sex, and stage at diagnosis, acquired renal insufficiency remained an independent predictor of TTT (OR=1.77; p=0.001) and OS (OR=2.67; p<0.001). Renal insufficiency and therapy selection After median follow-up of 4.5 years (range 0-18.0), 620 of 2047 (30.3%) patients have progressed to require treatment. Patients with renal insufficiency prior to treatment were less likely to receive purine nucleoside analogue based therapy and more likely to receive single agent alkylator based treatment. Conclusions Approximately 1 in every 13 patients (7.5%) with CLL has renal insufficiency at the time of diagnosis and an additional 16.1% acquire renal insufficiency during the course of the disease. The risk of developing renal insufficiency is associated with a variety of CLL B-cell characteristics and is associated with TTT and OS. Data on causes of acquired renal insufficiency is being abstracted and will be presented at the meeting. Disclosures: Shanafelt: Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding. Off Label Use: MK2206 in a phase 1 trial of CLL.

Abstract Introduction Approximately 2-8% chronic lymphocytic leukemia (CLL) patients develop diffuse large B-cell lymphoma (DLBCL, so-called Richter syndrome [RS]) over long-term follow-up. The outcomes of patients with RS are variable and poorly understood. Methods CLL patients seen at Mayo Clinic from January 1995 to April 2013 who developed biopsy-proven DLBCL during follow-up were included in this analysis. Clinical characteristics, therapy and overall survival (OS) of all patients with RS were analyzed. Results One hundred and twenty patients with biopsy-proven RS were identified in the Mayo Clinic database. The median age at diagnosis of RS was 67 years (range, 29-88 years), 87 (73%) were male, and 83 (69%) had received prior CLL therapy. The median duration between diagnosis of CLL and development of RS was 3.8 years (range, 0-34.5 years). Stereotyped B-cell receptors were found in 9/30 (30%) RS patients compared to 219/1294 (17%) non-RS patients (OR=2.1, p=0.07). IGHV4-39 gene usage was present in 2/26 (8%) RS patients compared to 57/1354 (4%) non-RS patients (p=0.3). Of the 30 RS biopsy samples in which Epstein Barr virus (EBV) in-situ hybridization studies were performed, EBV was detected in 7 (23%) patients. After a median follow-up of 5.2 years, 86 (72%) patients have died. Causes of death were as follows: progressive DLBCL (n=46, 53%), progressive CLL (n=2, 2%), infection (n=8, 9%), unknown (n=20, 23%) and other (n=10, 12%). The median OS of the entire cohort was 0.9 years (95% CI, 0.5-1.3 years). Tsimberidou and colleagues proposed a prognosis score (RS score) based on the following variables at the time of RS diagnosis: Eastern Co-operative Group performance status of 2-4, lactate dehydrogenase >1.5 x normal, platelets<100 x 109/L, tumour size >5 cm and >1 prior therapy for CLL. Each parameter was assigned one point, and patients were then assigned to one of four risk groups based on their calculated RS score: 0 or 1, low risk; 2, low-intermediate risk; 3, high-intermediate risk; 4 or 5, high risk. The OS according to the RS score for our group of patients is shown in Figure 1. Median survival in the low, intermediate-1, intermediate-2 and high-risk groups were 2.4 years, 0.7 years, 0.3 years and 0.2 years, respectively (p<0.001). Fifteen (12%) patients received cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP) as initial therapy for RS, and 68 (57%) received rituximab in addition to CHOP (R-CHOP). There was no difference in survival among patients who received CHOP compared to R-CHOP (median, 1.8 years. vs. 1.2 years, p=0.5). Twenty-four patients (20%) received non-CHOP-based chemotherapy, and treatment was unknown in 4 (3%) patients. Nine patients (7%) died before definitive therapy could be instituted. Thirteen (11%) patients were able to proceed to stem cell transplantation (SCT): 10 (8%) autologous SCT, 2 (2%) allogeneic SCT and 1 (1%) autologous SCT followed by an allogeneic SCT. Although RS patients who underwent SCT were younger compared to those who did not undergo SCT (median, 59 years. vs. 69 years, p=0.001), no differences in prior CLL therapy or receipt of R-CHOP therapy for DLBCL was noted between the two groups. The median survival of patients who proceeded to SCT was superior compared to those who did not (5.2 years vs. 0.7 years; p=0.005). Conclusion Stereotyped B-cell receptors but not VH4-39 had a suggested evidence of an increased risk of RS in our cohort. Although 90% RS patients received intensive chemotherapy, only 11% patients were able to proceed to SCT. Median survival of RS patients remains dismal at 1 year, and newer therapies are needed to improve outcomes. Disclosures: Shanafelt: Genentech: Research Funding; Glaxo-Smith-Kline: Research Funding; Cephalon: Research Funding; Hospira: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding.

Abstract Introduction We have previously developed a primary human bone marrow model in CLL which allows us to study marrow derived mesenchymal stroma cells (MSC) and mimic in vivoMSC-leukemic interactions in CLL (Ding, Blood, 2010) These interactions proved to be bidirectional with functional implications for both cell types. However the biologic and clinical implications of these bilateral cellular interactions in relation to MSC function in CLL patients have not been completely studied. MSC are clearly established as an essential component in forming supportive marrow niches for hematopoiesis. Our focus in this study thus was to further investigate on the status of CLL MSC function in comparison with normal MSC and the impact of the leukemic CLL B cell on MSC function and its role in forming marrow niches in CLL. Methods Bone marrow (BM) aspirates of CLL patients or normal age-matched subjects were used to generate MSC and these MSC were then assessed for various functions. Specifically we assessed the growth, differentiation capacity, gene expression, cytokine secretion profile and transcriptome analysis of CLL and normal MSC using colony forming unit (CFU) assay, MSC differentiation assay, Affymetrix U133 2.0 plus array and RNA sequencing respectively. To determine MSC CFU frequency, fixed number of nucleated cells (5 or 10 million) from BM aspirates were added in MSC growth medium for 10 days to form CFU. CFU frequency was then calculated by dividing the number of MSC colonies by the fixed number of inputted nucleated cells. In order to test the specific gene changes that occurred in MSC after their interaction with CLL leukemic cells, normal MSC were co-cultured with CLL cells for 1 week and subsequently followed by cell growth, gene expression analysis with RNA sequencing and cytokine profiles using a multiplex assay. Results CLL MSC generated significantly lower CFU colonies compared to normal subjects (CLL [n=24] vs normal [n=6] mean: 2.2 vs. 22 CFU per million nucleated cells, p=0.01). In order to test if the lower number of CLL MSC CFU was due to their reduced growth capacity or lower frequency, we then performed the CFU assay using identical numbers of CLL and normal MSC at the start of culture. CLL MSC was found to have significantly lower CFU capacity compared to normal MSC (mean: 2.1 [CLL] vs 4.5 [normal] CFU/10 input cell, n=7 in each group, p=0.03). To investigate the mechanism(s) for the reduced growth capacity of CLL MSC, we compared the gene expression profiles of non-stimulated CLL vs. normal MSC (n=10 for each group) with the following outcomes: CLL MSC had increased expression of cell cycle inhibitor: p16(Ink4a) and p57, both key markers of cell senescence (Baker, Nature, 2011); CLL MSC overexpressed homeobox B cluster of transcription factors, key regulator for cell development and differentiation. Wnt inhibitors DKK1/DKK2 and non-canonical Wnt 5b known to be associated with aging were found to be 10 and 2 fold more elevated in CLL MSC. In addition, MSC abundantly produced a milieu of the cytokines MCP-1/IL-8/IL-6/IL-1Ra after interaction with CLL leukemic cells. These cytokines are associated with a senescent associated secretory phenotype (SASP). Co-culture experiments of normal MSC with CLL Leukemic cells revealed significant impact of leukemic cells on normal MSC functions. Co-culture with a low density of CLL leukemic cells (CLL to MSC ratio: ≤10,000/1) increased MSC growth (1.2 fold). However, high density co-culture of CLL cells with MSC (CLL to MSC ratio of 100,000/1) inhibited MSC growth (0.8 fold). Transcriptome analysis of normal MSC before and after one week of co-culture with CLL leukemic cells showed that normal MSC had alteration of ~1500 genes. Many of the modified genes (CDKN2B, DKK2, LIF, HGF, FOXQ1 etc) are known to be involved in regulation of cell growth and senescence. Conclusion Collectively, these results demonstrated that bone marrow derived CLL MSC have decreased proliferative potential and possess senescent phenotypes. Importantly these senescent features were inducible in normal MSC after their interaction with CLL leukemic cells implying that leukemic B cells can educate MSC to become senescent. The implications of the CLL MSC senescence status are multiple and include: defective hematopoietic niches due to dysfunctional MSC, immune dysregulation and the enhanced nurturing of CLL B cell by these MSC. We are now investigating several of these latter features in our current work. Disclosures Shanafelt: Genentech: Research Funding; GlaxoSmithKline: Research Funding; Celegene: Research Funding; Cephalon: Research Funding; Pharmacyclics/Jannsen: Research Funding; Hospira: Research Funding; Polyphenon E Int'l: Research Funding. Kay:Genetech: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees.

Abstract BACKGROUND: Although chemoimmunotherapy (CIT) has improved response rates, treatment free survival, and overall survival in patients with chronic lymphocytic leukemia (CLL), only 40-50% of patients achieve a complete remission and the majority have residual disease when evaluated using sensitive assays. Interactions with nurturing environments can enhance CLL B-cell resistance to apoptosis. These interactions include cytokine mediated prosurvival signals by angiogenic molecules, such as VEGF and bFGF that nurture CLL B-cells in an autocrine fashion and promote CLL cell survival partly through up regulation of anti-apoptotic proteins. These findings provide a strong rationale for testing anti-VEGF therapy in combination with a purine nucleoside analogue CIT regimen for upfront treatment. We conducted a randomized phase 2 CIT trial using pentostatin, cyclophosphamide, and rituximab with (PCR-B) or without (PCR) bevacizumab (B), an anti-VEGF monoclonal anti-body. METHODS: Eligible patients were previously untreated and had CLL in need of treatment by NCI-WG criteria (Blood 111:5446). Patients were randomized using a dynamic allocation procedure stratifying for stage (0-II vs. III-IV) and FISH (17p or 11q deletion vs. other) to receive either 6 cycles of rituximab (100 mg on day 1 of cycle 1; 375 mg/m2on day 2 of cycle 1 and day 1 of cycles 2-6) followed by pentostatin (2 mg/m2) and cyclophosphamide (600 mg/m2) (PCR) administered every 21 days. Patients in the PCR-B cohort also received bevacizumab 15mg/kg on day 1 of cycles 1-5 and days 1, 22, & 43 of cycle 6. All patients underwent complete response evaluation 3 months after day 1 of cycle 6 (or last cycle of treatment for those completing < 6 cycles). MRD was assessed using 6-color flow cytometry (Leukemia 21:956) at the completion of treatment. RESULTS: 68 patients were enrolled through the Mayo Clinic Cancer Research Consortium between 1/2009 and 1/2013. Three patients were excluded from analysis: 1 patient canceled prior to treatment, 1 was dosed incorrectly, and 1 was ineligible due to immunophenotyping inconsistent with CLL. Median age of eligible patients was 63 years (range 43-81) and 43 (66%) were men. With respect to disease stage, 3 (5%), 38 (58%), and 24 (37%) had low, intermediate and high Rai stage disease. Eleven (17%) patients had deletion 17p or 11q & 29 (45%) had unmutated IGHV. No statistically significant differences were observed in these variables by treatment arm. All 65 evaluable patients have completed active treatment, with 54 (83.1%) completing the intended 6 cycles (PCR group 27/32 [84.4%] and PCR-B 27/33 [81.8%]). Hematologic grade 3+ adverse events deemed at least possibly related to treatment were observed in 10 (31.3%) patients on PCR and 12 (36.4%) on PCR-B (p=0.79). Non-hematologic grade 3+ adverse events deemed at least possibly related to treatment were observed in 9 (28.1%) patients on PCR and 18 (54.4%) on PCR-B (p=0.04). The most common such events were hypertension (PCR: 3.1% vs. PCR-B: 21.2%), proteinuria (0% vs. 6.1%) and creatinine increase (3.1% vs. 6.1%). Across both arms, 64/65 (98.5%) patients achieved a response including 31/32 (96.9%) treated with PCR and 33/33 (100%) treated with PCR-B (p=0.49). CR/CRi was achieved in 10/32 (31.3%) patients treated with PCR & 18/33 (54.5%) treated with PCR-B (p=0.08). Of the 28 who achieved a CR/CRi, MRD analysis was completed on 26, of whom 12 (46%) were MRD negative. With respect to treatment arm, 5/32 (16%) patients on PCR and 7/33 (21%) on PCR-B achieved an MRD negative CR. Median time to retreatment for all 65 patients was 44.8 (95% CI: 34.6 – NA) months. Median overall survival has not yet been reached. With current follow-up no differences between treatment-free survival (p=0.38), progression-free survival (p=0.23), or overall survival (p=0.45) are observed by treatment arm. Plasma levels of angiogenic cytokines VEGF, bFGF, thrombospondin (TSP) and the chemokines CCL3 and CCL4 were measured prior to treatment and at the time of the post treatment response evaluation. Correlations of these cytokines with clinical outcome will be presented. CONCLUSION: The addition of bevacizumab to purine analogue-based CIT was generally well-tolerated and may increase complete remission rates in patients with CLL. No clear improvement in treatment free survival has been observed to date. Disclosures Shanafelt: Hospiria: Research Funding; Pharmacyclics/Jannsen: Research Funding; Cephalon: Research Funding; Celgene: Research Funding; glaxoSmithKline: Research Funding; Genetech: Research Funding; Polyphenon E Int'l: Research Funding. Off Label Use: Off label use of pentostatin for treatment of CLL. Off label use of bevacizumab for treatment of CLL. . Kay:Genetech: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees.

Abstract Introduction: B-cell chronic lymphocytic leukemia (CLL) is an incurable disease despite that still requires options for treatment despite recent advances with BTK therapy. We previously found that Axl receptor tyrosine kinase (RTK), a member of the TAM (Tyro3, Axl, MER) family of RTKs, plays a critical role in CLL B-cell survival (Blood 2011, 117:1928). Here, we explored the levels of apoptosis induction of CLL B-cells using a novel high-affinity Axl inhibitor as a single agent or in combination with BTK inhibitors. Methods: Expression/activation status of the Tyro3, Axl and MER in CLL B-cells was evaluated by Immunoprecipitation/Western blots. Cells were treated with a high-affinity orally bioavailable Axl inhibitor TP-0903 (Tolero Pharmaceuticals) or FGFR inhibitor TKI-258 (Novartis) with or without the presence of CLL bone marrow stromal cells (BMSCs). Impact of Axl or FGFR signal inhibition on CLL B-cell survival was also evaluated by flow cytometry after staining with annexin V/propidium iodide. Finally, cells were exposed to TP-0903 in combination with BTK inhibitors to determine any synergistic/additive effects of the combination in induction of apoptosis. Combination index (CI) of two agents was calculated using the method of Chou and Talalay, 1984. Results: Although we defined pro-survival role of Axl in CLL B-cells, contribution of other members of the TAM family of RTKs including Tyro3 and MER to prolonged survival of the leukemic B-cells remains largely undefined. In this study we found that CLL B-cells overexpress Tyro3, but not MER, and that Tyro3 is constitutively phosphorylated. Interestingly, immunoprecipitation of Tyro3 from CLL B-cell lysates shows retention of highly active Axl in the immune complex suggesting that these two RTKs either heterodimerize or form a molecular complex in CLL B-cells. Our earlier work found that Axl regulates multiple cell survival signaling pathways including PI3K/AKT and Src and that, Axl inhibition using a first generation Axl inhibitor induced apoptosis in CLL B-cells (Blood 2011, 117:1928). Thus, we hypothesized that targeting Axl using a very high affinity Axl inhibitor would induce even higher levels of apoptosis in CLL B-cells compared to the first generation Axl inhibitor. To address this, we utilized a high-affinity orally bioavailable Axl inhibitor TP-0903 to generate preliminary information on its efficiency to specifically target Axl and the level of apoptosis induction in CLL B-cells. Indeed TP-0903 as a single agent induced a robust apoptotic cell death in CLL B-cells within 24 hours of exposure at nanomolar doses, which are easily achievable in vivo (information provided by Tolero Pharmaceuticals). Interestingly, while TP-0903 effectively reduces phosphorylation on Axl in CLL B-cells, it was unable to target P-Tyro3 suggesting that Axl is likely the predominant RTK of the TAM family in CLL B-cells. A marked reduction of the anti-apoptotic proteins Mcl-1, Bcl-2, XIAP and upregulation of the pro-apoptotic protein BIM in CLL B-cells via activation of its upstream regulator FOXO3a were noted as a result of inhibition of P-Axl and its downstream signaling pathways, P-AKT/P-Src. Importantly, TP-0903 was able to overcome CLL BMSC mediated protection of the leukemic B-cells from apoptosis induction. Given the observed robust induction of apoptosis with TP-0903 and the known impact of BTK inhibitors on CLL patient clinical outcome, we then exposed CLL B-cells to TP-0903 in combination with two BTK inhibitors that included Ibrutinib and a reversible BTK inhibitor TP-4216 (a kind gift from Tolero Pharmaceuticals). Based on the CI values, we found that the in vitro combination of TP-0903 and Ibrutinib showed additive effects in CLL B-cells from 6 of 11 CLL patients, CLL B-cells from the remaining 5 CLL patients showed antagonistic effects (Fig. 1A). However, we observed synergistic effects of TP-0903 in combination with TP-4216 in the induction of apoptosis in CLL B-cells from 2 of 10 patients and additive effects in CLL B-cells from 6 patients (Fig. 1B). Cells from the remaining 2 patients exhibited a slightly antagonisticeffect. Conclusion: In total, these results suggest that TP-0903 is quite effective in inducing robust CLL B-cell apoptosis as a single agent even at a nanomolar concentration and its combination with the reversible BTK inhibitor TP-4216 could be an effective and unique strategy for the treatment of CLL patients. Figure 1 Figure 1. Disclosures Warner: Tolero Pharmaceuticals: Employment, Equity Ownership, Patents & Royalties. Bearss:Tolero Pharmaceuticals: Employment. Shanafelt:Genentech: Research Funding; GlaxoSmithKline: Research Funding; Celegene: Research Funding; Cephalon: Research Funding; Pharmacyclics/Jannsen: Research Funding; Hospira: Research Funding; Polyphenon E Int'l: Research Funding. Kay:Genetech: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees.

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

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

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