Shanafelt, Tait D.

Abstract Background Performance status (PS) is a measurement of a patient’s functional capabilities and has been validated as a prognostic indicator in patients with cancer. This study was conducted to compare patient and physician-rated Eastern Cooperative Oncology Group (ECOG) PS to determine the incidence of inter-observer variability and identify determinants of PS disagreement among a cohort of patients with hematologic malignancy. Methods Newly diagnosed patients with leukemia and lymphoma were prospectively enrolled in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER) from 2002-2008. At diagnosis, patients and their physicians were asked to independently rate ECOG PS. Those who reported PS within 1 month of diagnosis were included in this analysis. Chi-squared and Wilcoxon rank-sum tests were used to assess the association between PS disagreement and prognostic or demographic factors; Cox proportional hazards models and c-statistics were used to evaluate the association between PS and overall survival. Results 1269 patients were included with a median age of 61 years (range 18-91). Of these, 58% were male; 275 had chronic lymphocytic leukemia (CLL), 127 had Hodgkin lymphoma (HL), and 867 had non-Hodgkin lymphoma (NHL). Overall, 829 (65%) patients and physicians rated PS the same. Age greater than 60 was a significant predictor of disagreement overall (p<0.001), as well as in CLL (p=0.014) and NHL (p=0.004), but not in HL (p=0.65). We found that across disease subtypes, the level of disagreement increased with more aggressive disease. This finding was significant in those with HL (p=0.027) and NHL (p<0.0001) as International Prognostic Score (IPS) and International Prognostic Index (IPI) increased respectively. In CLL, the trend for Rai stage was suggestive but not statistically significant (p=0.27). The incidence of disagreement was highest among patients with NHL (37%), with a higher percentage of disagreement among those with aggressive (45%) vs. non-aggressive (25%) subtypes (p<0.001). Disagreement was lower in patients with CLL (27%) and HL (33%). There were no significant associations between patient gender or education level and PS rating among subtypes or overall. Patient and physician-rated PS were both significant predictors of overall survival in univariate models and also adjusted for subtype and subtype specific risk score. The prognostic ability for PS was similar for both patient rated and physician-rated assessment overall (c-statistic=0.76 for both patient and physician rated PS) and in those with HL (c-statistic=0.85 for both patient and physician rated PS) and NHL (c-statistic=0.76 for both patient and physician rated PS). However, patient-rated PS was better for prognostication in CLL (c-statistic=0.75; p<0.0001), compared to physician-rated PS (c-statistic=0.67; p=0.002). Conclusions Patients with hematological malignancies and their physicians do not always rate PS the same, particularly in patients who are older or have more advanced or aggressive disease. These findings suggest the need for physicians to communicate with patients when determining PS, as PS is a strong predictor of survival. Disclosures: No relevant conflicts of interest to declare.

Abstract Background: PRCA is characterized by severe normochromic normocytic anemia, reticulocytopenia, and markedly reduced bone marrow erythroid precursors with intact leukocytic and megakaryocytic lineages. There is limited information about the prevalence and outcomes of PRCA in CLL, with the vast majority of information derived from case reports and small series comprising <10 patients. Here, we describe the clinical features, therapy, and outcomes of CLL patients with PRCA seen at our institution. Methods: The Mayo Clinic CLL Database includes all patients with a diagnosis of CLL evaluated at Mayo Clinic Rochester, MN between January 1995 and December 2014. We identified patients diagnosed with PRCA per the following diagnostic criteria: those who presented with normocytic anemia, had decreased erythroid precursors on bone marrow examination, and reticulocytopenia that could not be explained by any other cause besides PRCA. The baseline demographics, clinical characteristics, therapy, and outcomes were abstracted from the electronic medical records. We generated descriptive statistics and calculated overall survival (OS) from diagnosis date (PRCA, autoimmune cytopenia [AID], or CLL) to last known alive or death date. OS was plotted using Kaplan Meier curves and compared between groups using log-rank statistic. The Mayo Clinic IRB approved this study. Results: Of the 3945 CLL patients seen during the study interval, we identified 30 patients who met the diagnostic criteria of PRCA as described in the Methods section. The baseline characteristics, etiology and therapy for PRCA are shown in Table 1. The median time to PRCA from CLL diagnosis was 4.5 years (range-0.1-14 years). Of the 13 patients with IGHV results available, 12 (92%) were IGHV unmutated. Twenty-one (70%) were male and their median age at PRCA diagnosis was 67 years (range 40-81 years). Parvovirus testing was positive in 6 of 24 (25%) patients who were tested; 3 of these patients were treated with IVIG, 2 were treated with prednisone and IVIg, and 1 was treated with prednisone and rituximab. Eight patients (27%) had both PRCA and autoimmune hemolytic anemia (AIHA), and 1 patient (3%) had concomitant PRCA and immune thrombocytopenia (ITP). Of the 27 patients for whom we have treatment data, 10 required only one treatment regimen and 17 required 2-6 treatment regimens, with two patients requiring splenectomy for concomitant AIHA. The median survival of CLL patients after a diagnosis of PRCA was 4.6 years (Figure 1). There was no difference in survival between PRCA cases with and without parvovirus (p=0.92). Compared to newly diagnosed CLL Rai stage III/IV patients, there was no difference in OS (p=0.53). There was no statistically significant difference in survival from an AID cytopenia diagnosis when comparing PRCA, ITP, AIHA, and Evans syndrome (Figure 1; median 5 years for PRCA and 6 years for other groups; p=0.17). Conclusion: PRCA is a rare complication in CLL, occurring in <1% CLL patients seen at our institution over the past 20 years. Parvovirus was the etiologic factor in ~25% of patients and did not influence outcomes. There appears to be no significant difference in outcomes of PRCA patients compared to patients with other AID in CLL. Table 1. Patient Characteristics Characteristic N [range] or (%) Number of patients 30 Males 21 (70) IGHV status* · Unmutated · Mutated 12 (92) 1 (8) FISH results at CLL diagnosis* · 17p- · 11q- · Trisomy 12 · 13q- · Negative 0 (0) 1 (10) 3 (30) 3 (30) 3 (30) At PRCA Diagnosis Median age 67 [40 - 81] Median hemoglobin (gm/dL)* [normal range 12-15.5 gm/dL] 8.2 [3.5 - 10.8] Median absolute reticulocyte count (x 109/L)* [normal range: 38 - 113 x 109/L] 3.5 [0.0 - 25.3] Patients treated for CLL prior to PRCA diagnosis 25 (83) Etiology of PRCA Parvovirus (n = 24) 6 (25) Therapy-related: · Fludarabine · Alemtuzumab/rituximab · Pentostatin/cyclophosphamide/rituximab 3 (10) 1 (3) 1 (3) Autoimmune (neither therapy nor parvovirus related) 19 (63) Initial Therapy of Non-Parvovirus Related PRCA Steroids alone 2 (8) Steroids and Rituximab 3 (13) Steroids in combination with: · IVIG, Chlorambucil · Cyclosporine · Rituximab, IVIg · IVIg, splenectomy 1 (4) 2 (8) 1 (4) 1 (4) Monoclonal Ab alone · Alemtuzumab · Rituximab 1 (4) 4 (17) Cyclosporine 1 (4) Cyclophosphamide 2 (8) RCP (Rituxan, Cyclophosphamide, and prednisone) 2 (8) IVIg 1 (4) Not available 3 (13) *Not available for all patients Figure 1. Figure 1. Disclosures Ding: Merck: Research Funding. Kay:Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Tolero Pharma: Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding. Shanafelt:Cephalon: Research Funding; Hospira: Research Funding; Glaxo-Smith-Kline: Research Funding; Genentech: Research Funding; Jannsen: Research Funding; Celgene: Research Funding; Polyphenon E International: Research Funding; Pharmacyclics: Research Funding.

Abstract Abstract 1246 Poster Board I-268 B-cell chronic lymphocytic leukemia (B-CLL) is characterized by a variable clinical course. Genomic aberrations as detected by FISH analysis and the mutational status of the IgVH genes have been found to have prognostic clinical significance with unmutated IgVH genes associated with clinically more aggressive disease. Previous studies have suggested that unmutated IgVH B-CLL is associated with increased chromosomal instability and increased chromosomal aberrations leading to accelerated disease progression. We recently performed a high-throughput, high-resolution array-based comparative genomic hybridization (aCGH) in a cohort of B-CLL patients. Fifty-eight patients have been analyzed by using the Sureprint G3 microarray (one million probes, Agilent). Our working hypothesis was that we would see increased genomic aberrations and instability in the unmutated IgVH group. The total number of copy number aberrations and total megabases (Mb) deleted or gained per genome were used as a surrogate marker for genomic instability. Variations in chromosomal aberrations in various VH families were also evaluated. B-CLL with unmutated IgVH genes utilized members of the VH1, VH3, VH4 and VH5 families with VH1-69 the most prevalent. B-CLL with mutated IgVH genes utilized VH families VH1, VH2, VH3, VH4, and VH6. Considerable variation was seen in the number of genomic abnormalities between cases. Overall, 315 abnormalities have been identified (236 deletions and 79 gains), with a median of 4 copy-number abnormalities per patient (range 0-32). In patients with IgVH mutational status available the median number of chromosomal aberrations in the mutated group was 5 (range 1-17) and unmutated group was 4 (range 0-20). Copy number deletions were significantly more common than chromosomal gains for the total group and in both the unmutated and mutated IgVH gene groups. Mean number of megabases (Mb) of DNA deleted in the unmutated IgVH group was 17.80Mb (standard deviation 24.17 Mb, median 6.63 Mb, range 0 - 90.55Mb) and 40.65 Mb in the mutated IgVH group (standard deviation 86.04 Mb, median 15.35Mb, range 0 – 307.57Mb). Mean number of Mb gained in the unmutated group was 37.74Mb (standard deviation 57.58Mb, median 0.44Mb, range 0 – 132.47Mb) and 32.99Mb (standard deviation 59.76Mb, median 0.14Mb, range 0 – 172.50Mb) in the mutated group. Nine patients had B-CLL with VH1-69 genes and 8 of them were unmutated. Median number of chromosomal deletions was 2 and gains also 2 (ranges 0 – 8 deletions and 0 – 4 gains) for this group. Similar findings were seen for the other VH families. These results initially suggest that total copy number variations do not account for the observed clinical differences between mutated and unmutated IgVH B-CLL. The catalogue of potentially clinically relevant chromosomal abnormalities found in this aCGH study is being currently evaluated. Disclosures Zent: Genentech, Bayer, Genzyme, Novartis: Research Funding. Shanafelt:Genentech: Research Funding; Hospira: Membership on an entity's Board of Directors or advisory committees, Research Funding; Polyphenon E International: Research Funding; Celgene: Research Funding; Cephalon: Research Funding; Bayer Health Care Pharmaceuticals: Research Funding. Kay:Genentech, Celgene, Hospira, Polyphenon Pharma, Sanofi-Aventis: Research Funding; Biogenc-Idec, Celgene, Genentech, genmab: Membership on an entity's Board of Directors or advisory committees. Fonseca:BMS: Consultancy; Amgen: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Medtronic: Consultancy; Genzyme: Consultancy.

Abstract Background Severe cytopenias in CLL are typically associated with bone marrow failure due to massive infiltration of the bone marrow by leukemic cells and negatively impact patient morbidity/mortality. Although near complete marrow replacement by CLL is typically observed in patients whose degree of cytopenia meet criteria for advanced Rai stage disease (Hg<11g/dL; platelet <100 x10^9/L), profound variability in the degree of cytopenia and the extent of marrow infiltration exists, and the relationship between these dimensions is not well characterized. Methods We used the Mayo Clinic CLL database to identify all previously untreated CLL/SLL patients who underwent bone marrow biopsies. CLL patients known to have autoimmune-based cytopenias were excluded from this study. Hemoglobin, platelets, absolute neutrophil count (ANC), absolute lymphocyte count (ALC), and absolute monocyte (AMC) at the time of bone marrow biopsy were collected. Characteristics from bone marrow biopsy including marrow cellularity, % CLL involvement, CLL leukemic index (calculated as % cellularity times % CLL), and non-CLL leukemic index (calculated as % cellularity times (1-% CLL)) were also collected. Bone marrow cellularity and % CLL involvement were recorded in the Mayo Clinic CLL database based on clinical estimates made by Mayo hematopathologists. Clinical characteristics and CLL prognostic factors (e.g., Rai stage, CLL FISH, IGHV, ZAP-70, CD38 and CD49d) were also obtained from the database. Age- and sex-adjusted Pearson correlations between the bone marrow measurements and hemoglobin and platelet levels were computed, and scatterplots were created. Results A total of 695 untreated CLL patients diagnosed between 1972 and 2015 who had a CBC test at the time of bone marrow biopsy performed at Mayo Clinic were identified. Median age at diagnosis was 61 years, and 487 (70%) patients were men. Mean time from CLL diagnosis to bone marrow biopsy was 2.2 years. At the time bone marrow biopsy was performed, 20% of patients had advanced stage disease (Rai III/IV) disease, while 44% and 36% had intermediate (Rai I/II) and early stage (Rai 0), respectively. With respect to prognostic parameters, 53% had unmutated IGHV and 20% had high risk CLL FISH (11q- and 17p-). The distribution of other prognostic factors included 43% CD49d+, 35% CD38+, and 42% ZAP-70+ CLL diseases. Median peripheral blood counts were: hemoglobin 13g/dL, platelet 167,000/mL, ALC 26,600/mL, ANC 4100/mL, AMC 700/mL. The median bone marrow cellularity and percent CLL involvement were 70% and 70%, respectively. The median CLL leukemic index was 42%, and median non-CLL leukemic index was 21%. Pearson correlation analysis of bone marrow measurements with peripheral blood hemoglobin found the strongest correlation with the CLL leukemic index (r= -0.49, p<0.001) (Figure), followed by the % marrow CLL involvement (r= -0.45, p<0.001), cellularity (r= -0.40, p<0.001), and non-CLL leukemic index (r= 0.37, p<0.001). Pearson correlation analysis of the bone marrow measurements with platelet count also found the strongest correlation with the CLL leukemic index (r= -0.39, p<0.001), followed by % marrow CLL involvement (r= -0.38, p<0.001), non-CLL leukemic index (r= 0.35, p<0.001), and cellularity (r= -0.28, p<0.001). The peripheral blood ANC levels did not correlate with the four bone marrow measurements. Age- and sex-adjusted Pearson correlations between the bone marrow measurements and hemoglobin and platelet levels were similar to the above unadjusted results. Conclusion To our knowledge, this is the first study to examine the relationship between peripheral blood counts and the extent of bone marrow infiltration in patients with CLL. Although the bone marrow leukemic index had the strongest correlation with peripheral blood Hg and platelet counts, the correlation was modest with an r value of -0.49. These findings suggest that the extent of infiltration of the bone marrow by CLL cells only partially explains of the anemia and thrombocytopenia observed in CLL, indicating other biologic interactions between CLL B-cells and hematopoietic cells contribute to anemia and thrombocytopenia in these patients. More research is needed to determine the nature of these interactions. Disclosures Ding: Merek: Research Funding. Kay:Genentech: Research Funding; Pharmacyclics: Research Funding; Hospira: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolero Pharm: Research Funding. Shanafelt:genentech: Research Funding; Glaxo-Smith-knine: Research Funding; Celgene: Research Funding; Cephalon: Research Funding; Pharmacyclics: Research Funding; Janssen: Research Funding; Hospira: Research Funding; Polyphenon E Int'l: Research Funding.

Abstract Abstract 1268 Poster Board I-290 Purpose There are reports of an increased risk of skin cancers in patients with B-Chronic Lymphocytic Leukemia (CLL). These skin cancers include basal cell and squamous cell carcinoma. This analysis was performed to more completely define the prevalence of skin cancers in patients in the Mayo Clinic Rochester CLL database and to look for contributing factors. Methods The Mayo Clinic Rochester CLL Database includes all patients with a diagnosis of CLL since January 1995 seen in the Division of Hematology and who have signed institutional review board approved consents for research. For this study, 2240 patients were analyzed to compare differences in characteristics between CLL patients with and without skin cancer. Chi-square statistics were used to compare qualitative variables (age categories, gender, referral status, ALC categories, CD38, ZAP-70, IgVH gene mutation status, FISH categories, Rai stage), and t-tests were used for quantitative variables (age at diagnosis, ALC values). Overall survival (OS) and time to first treatment (TFT) analyses were performed with results being displayed using Kaplan-Meier curves and p-values calculated using a log-rank test. Prevalence of melanoma among CLL patients was compared to the age-adjusted prevalence of melanoma in individuals in the Iowa SEER registry. Results Median follow-up for the 2240 patients diagnosed between 1/1/1995 and 8/11/2009 was 4.6 years. In aggregate, 293 (13.1%) patients were found to have non-melanoma skin cancer (squamous cell carcinoma or basal cell carcinoma) cancer. The diagnosis of non-melanoma skin cancer occurred before the CLL diagnosis in 39% and at or after the diagnosis of CLL in 61%. There were 57 (2.5%) cases of melanoma in association with CLL. The diagnosis of melanoma occurred before the CLL diagnosis in 38% and at or after the diagnosis of CLL in 62%.The prevalence of non-melanoma skin cancer and melanoma skin cancer were both higher in non-referred (geographically regional) CLL patients than referred CLL patients (16.6% vs. 11.4%, p<0.001 for non melanoma; 2.0% vs. 3.6%, p=0.03 for melanoma). The prevalence of melanoma in CLL patients was higher than that of age-adjusted prevalence for individuals in the Iowa SEER registry (2.5% vs. 0.03%; p<0.001). We next evaluated the relationship between CLL patients with skin cancer and demographic characteristics, prognostic parameters, and CLL related treatment. The risk of non-melanoma skin cancer in CLL was found to be associated with age (median age at diagnosis with skin cancer 67.6 vs. without skin cancer 63.3, p<0.001) and with sex (males 15.1% vs females 8.9%, p <0.001). There was no statistical significant difference in frequency of non-melanoma skin cancer associated with absolute lymphocyte count (ALC), Rai stage, CD 38, Zap 70, IgVH gene mutation status, FISH, or treatment history. The risk of melanoma in CLL was found to be associated with age at diagnosis (median age with melanoma 69.9 vs. without melanoma 63.8, p=0.002) and CD38 (positive 1.3% vs negative 3.1%, p=0.03). There was no statistically significant difference associated with gender, ALC, Rai stage, Zap 70, IgVH gene mutation status, FISH, or treatment history. Since the presence of skin cancer could be a marker of immune dysregulation we hypothesized skin cancer may be associated with clinical outcome of CLL. Accordingly, we evaluated the relationship between non-melanoma skin cancer and melanoma skin cancer and TFT and OS. Contrary to our hypothesis, TFT (median 6.0 years vs. 4.9; p=0.04) and OS (median 10.8 years vs. 9.7; p=0.02) of patients with non-melanoma skin cancer were both longer than those without non-melanoma skin cancer. No differences in TFT (p=0.06) or OS (p=0.66) were observed among patients with melanoma compared to those without melanoma. Conclusions We find in our cohort of CLL patients a higher prevalence of melanoma than the general population. Risk of melanoma and non-melanoma skin cancer among patients with CLL does not appear to be related to CLL characteristics, with the exception of CD 38, or CLL outcome. The diagnosis of melanoma and non-melanoma skin cancer in patients with CLL does not appear to be a risk factor for either CLL specific outcomes (TFT) or shorter survival. Disclosures Kay: Biogenc-Idec, Celgene, Genentech, genmab: Membership on an entity's Board of Directors or advisory committees; Genentech, Celgene, Hospira, Polyphenon Pharma, Sanofi-Aventis: Research Funding. Zent:Genentech, Bayer, Genzyme, Novartis: Research Funding. Shanafelt:Genentech: Research Funding; Hospira: Membership on an entity's Board of Directors or advisory committees, Research Funding; Polyphenon E International: Research Funding; Celgene: Research Funding; Cephalon: Research Funding; Bayer Health Care Pharmaceuticals: Research Funding.

Abstract Background: Over the last decade, increasing numbers of families with at least 2 cases of CLL or other B-cell lymphoproliferative disorders have been described. Methods: Families seen at Mayo Clinic with at least one individual diagnosed with CLL and one or more first or second degree relative diagnosed with CLL or a B-cell lymphoproliferative disorder(LPD) were identified. Clinical characteristics and risk stratification test results (cytogenetic abnormalities by FISH, level of CD38 expression, and IgVH gene mutation status) were extracted and reviewed. Serum, intracellular and CLL B cell secreted levels of pro- and anti-angiogenic cytokines (VEGF, BFGF, and TSP) were also compared between cases of familial and sporadic CLL. Results: Seventy-one families seen at Mayo Clinic were identified meeting criteria for familial CLL. Of the 71 index CLL families, 78.9% (n=56) had at least one other first or second-degree relative with CLL or a B cell LPD, 15.5% (n=11) had 2 other affected members, and 5.6% (n=4) had 3 or more affected members. Of affected family members with B-cell LPDs other than CLL, 64% (n=25) had non-Hodgkin lymphoma, 21% (n=8) had Hodgkin disease, 10% (n=4) had multiple myeloma or Waldenstrom macroglobulinemia, and 5% (n=2) had another lymphoid leukemia (1 ALL, 1 hairy cell leukemia). The median age was 62, with 63% males and 37% females. The majority of individuals had an early Rai stage at diagnosis (stage 0–66%, stage I-19%). Results of cytogenetic testing by FISH, CD38 status, IgVH gene mutation status appear similar in familial and sporadic CLL cases seen at Mayo clinic during the same time interval. No clear pattern of IgVH gene mutation status, IgVH gene family usage, level of CD38 expression, or cytogenetic abnormalities by FISH was seen among multiple affected members from the same family. There were also no significant differences noted in serum, intracellular, and CLL B cell secreted levels of VEGF, BFGF or TSP in the familial samples when compared to a cohort of non-familial samples. Conclusions: Expression of cytogenetics by FISH, immunophenotype, IgVH mutation status and levels of serum, intracellular and cytoplasmic pro- and anti-angiogenic factors(VEGF, BFGF, and TSP) were similar in individuals with familial and sporadic CLL.

Abstract Abstract 2406 The outcome for a given CLL patient is difficult to predict. While there are promising models, they require collation of multiple clinical and laboratory parameters, and it remains to be seen whether they will apply to typical CLL patients in the community. To further dissect out explanations for this dramatic clinical heterogeneity, we sought to understand genomic complexity of clonal B-cells as a possible explanation of clinical variability with specific application to genomic complexity as a predictor of therapeutic response and clinical outcome in CLL. Thus we wished to identified global gains and losses of genetic material in order to define copy-number abnormalities (CNA) in 48 clinically progressive CLL patients who were about to be treated on a chemoimmunotherapy protocol. This protocol was previously reported by us (Blood. 109:2007) and had an induction phase with pentostatin (2 mg/m2), cyclophosphamide (600 mg/m2) and rituximab (375 mg/m2) given every 3 weeks for 6 cycles and then responding patients were followed ever three months until relapse. In order to estimate CNA, we employed array-based comparative genomic hybridization (aCGH) using a one-million oligonucleotide probe array format on the leukemic B-cells from the 48 patients entering this trial. In those same patients, the aCGH data were compared to a) FISH detecxtable data using a panel for the common recurring genetic defects seen in CLL and b) to their clinical outcome on this trial. With aCGH we found that 288 CNA were identified (median of 4 per patient; range 0–32) of which 215 were deletions and 73 were gains. The aCGH method identified most of the FISH detected abnormalities with a complete concordance for 17p13.1- deletion (17p-) between aCGH and FISH. We also identified chromosomal gain or loss in ≥6% of the patients on chromosomes 3, 8, 9, 10, 11, 12, 13, 14 and 17. We found that CLL patients with ≥15 CNA had a significantly worse progression free survival (PFS) than patients with <15 CNA (p=0.004)(figure). Patients with ≥15 CNA also had a shorter duration of response than those with <15 CNA (p=0.0726). Of interest, more complex genomic features were found both in patients with a 17p13.1 deletion and in more favorable genetic subtypes such as 13q14.1. Thus, for 5 patients with >15 CNAs the following FISH patterns were seen: +12/13q14.1-x1/13q14.1 -x2, 13q14.1 ×1 (n=2), and 17p13.1 (n=2). In addition, a 17p- by FISH was positively associated with the number of CNA and total deletion size. The odds of having an overall response decreased by 28% (95% CI: 5–55%; p=0.015) with each additional CNA for the 17p13.1- patients. In addition to defining genomic complexity as the total number of CNA for each patient, we also defined complexity as the sum of the lengths of all interstitial chromosomal gains and losses. When defined as the total size of chromosomal gains or losses, genomic complexity was significantly associated with 17p13.1 and worse overall clinical response. In summary, this analysis utilized the global assessment of copy number abnormalities using a high-resolution aCGH platform for clinically progressive CLL patients prior to initiation of their treatment. One outcome was that we found higher genomic complexity was associated with shorter progression-free survival, reduced duration of response and predicted a poor response to treatment. In addition since we did find genomic complexity in more traditionally favorable FISH categories, such as 13q14.1 type defects, this may explain why some of the latter patients do not fare as well as might be expected even with aggressive chemoimmunotherapy approaches. This study adds information on the association between inferior trial response and increasing genetic complexity as CLL progresses. Disclosures: Off Label Use: Pentostatin. Kipps: GlaxoSmithKline: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Genzyme: Research Funding; Memgen: Research Funding; Igenica: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi Aventis: Research Funding; Abbott Laboratories: Research Funding.

Abstract Abstract 2409 Background: Serum free light chain (FLC) quantitation has prognostic value in MGUS, multiple myeloma (MM), solitary plasmacytoma, and amyloid light chain (AL) amyloidosis, and it has been incorporated in response criteria for both MM and AL amyloidosis. Two recent studies have shown FLC abnormalities are present in 39–54% of CLL patients and are associated with shorter time to treatment (TTT) and inferior overall survival (OS) in CLL. Here we report the largest study to date of FLC abnormalities in a prospective cohort of CLL patients and explore the effects of both monoclonal and polyclonal FLC elevations. Methods: Newly diagnosed CLL patients were prospectively enrolled in the University of Iowa/Mayo Clinic SPORE Molecular Epidemiology Resource (MER). Serum FLC was quantitated from stored research serum samples using the Freelite FLC assay (The Binding Site, Ltd., Birmingham, UK). Elevated FLC was defined as either kappa or lambda above the reference range (k>19.4 mg/L, l>26.3 mg/L). Monoclonal FLC elevation was defined as elevated FLC with an abnormal FLC ratio. Polyclonal FLC elevation was defined as elevated FLC with a normal FLC ratio (0.26–1.65). Patients with normal FLC but abnormal FLC ratio were evaluated as a distinct group (Abnormal FLC Ratio). Clinical data was abstracted using a standard protocol for the MER and patients were followed systematically for TTT and OS. Cox proportional hazards models were used to assess the association of FLC with TTT and OS. Results: 385 CLL patients diagnosed between September 2002 and February 2008 with available serum were assayed. At a median follow-up of 47 months (range 1–94), 135 patients (35%) have been treated and 43 patients have died (11%). Abnormalities in FLC were present in nearly half of the CLL patients (48.8%). Although 32.4% had an elevated kappa or lambda, only 14.0% had a monoclonal FLC elevation while the remaining 18.4% had a polyclonal FLC elevation. An additional 16.4% had an abnormal ratio without elevated FLC. Monoclonal FLC elevation was associated with high risk features of CD38+, CD49D+, ZAP70+, IGHV unmutated and having high risk FISH (del 17p13; del 11q22). Monoclonal FLC elevation was highly associated with shorter TTT (HR=3.24, p=0.0007) and poor overall survival (HR=4.14, p=0.0006). These associations remained statistically significant after adjusting for stage and prognostic factors. Abnormal FLC ratio without elevated FLC was also associated with shorter TTT (HR=1.74, p=0.03), though this association did not hold after adjustment for stage and prognostic factors. Polyclonal FLC elevations were associated high risk FISH and poor overall survival (HR=6.41, p<0.0001, adjusted HR = 4.82, p=0.0002) but not with TTT. Conclusions: In the largest series of newly diagnosed CLL patients reported to date, nearly half of CLL patients have abnormal FLC concentrations. Monoclonal FLC elevation is an independent predictor of shorter TTT and inferior overall survival in CLL, is associated with high risk markers, and may be a marker of an aggressive tumor. Polyclonal FLC elevation without abnormal FLC ratio is independently associated with poor overall survival but not TTT suggesting it may be a non-specific marker of host frailty/comorbidity rather than disease specific outcomes. Regardless of cause, CLL patients with elevated FLC have poor outcome and FLC may have utility as a biomarker in CLL. Disclosures: Zent: Genzyme: Research Funding; Genentech: Research Funding; Novartis: Research Funding; G.S.K.: Research Funding.

Abstract Abstract 4610 Introduction Infections are a major cause of morbidity and mortality in patients with chronic lymphocytic leukemia (CLL). Up to 50% of CLL patients develop infectious complications, and 30–50% of all deaths in CLL patients are attributed to infections. Despite these data, the available research on infectious complications in CLL is primarily limited to patients participating in clinical trials of chemotherapy, obscuring the distinction between the risk of infection due to the disease’s natural history relative to the risk associated with therapy related immune suppression. 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 community-based cohort of CLL patients, we used the Mayo Clinic CLL database to identify all patients with newly diagnosed CLL who resided within 50 miles of MCR and diagnosed between January, 1999 and December, 2009. The comparison cohort consisted of 689 adult patients who 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. All hospitalizations at MCR among both cohorts were audited to document hospitalization with infection and cross-referenced with the Mayo Clinic infection database, which includes all culture results obtained from hospitalized MCR patients. Serologies and viral assays 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 antibiotic therapy were considered to have a culture negative infection. RESULTS: In May 2010, there were 2022 CLL patients in the Mayo Clinic CLL Database diagnosed between 1999 and 2009. Of these, 174 (9%) were local CLL patients residing within 50 miles of MCR. Median age at diagnosis for these non-referred CLL patients was 69 years (range 27–97). Most had early stage disease (60% stage 0; 32% stage I-II). On prognostic evaluation, 121 (75%) patients were CD38 negative, 66 (61%) ZAP-70 negative, 47 (50%) IGHV mutated, and 56 (62%) had either no abnormality or 13q14- as a sole abnormality on FISH analysis. 64 (37%) patients progressed to require treatment for CLL during follow-up. After median follow-up of 4.0 years (range 0–11), 32 (18.4%) CLL patients were hospitalized with infection at least once as compared to 20/689 (2.9%) individuals in the control cohort (odds ratio=7.5; p<0.0001) Figure 1A. Even prior to receiving treatment for CLL, the rate of hospitalization for infection remained higher than the control cohort (p=0.002; Figure 1B). The 32 CLL patients hospitalized with infection were admitted with infection a total of 89 times (median 1 hospitalization for infection per patient). A specific infectious organism was identified by cultures or serologies in 60 (63%) of the 89 infections in CLL cases and 10/27 (37%) infections among controls. Hospitalization for an opportunistic infection (e.g. cytomegalovirus, cryptococcus, filamentous fungi, mycobacteria, Pneumocystis) occurred in 5/174 (3%) CLL patients during follow-up compared to 0/689 controls (p<0.001). Finally, we performed a pooled multivariable analysis of all patients (n=863) to identify factors (age, sex, CLL diagnosis, CLL treatment) associated with infection risk. Most factors were independently associated with hospitalization for infection [Age (per year, OR=1.03, p=0.02), sex (male, OR=4.0, p<0.001), diagnosis of CLL (OR=2.1, p=0.09), and treatment for CLL (OR=5.9, p<0.001)]. In univariate analysis of CLL patients [sex (OR=4.2, p=0.01), higher Rai stage (p=0.046), unfavorable (del 17p13; del 11q23) FISH [OR=4.6, p=0.02] and unmutated IGHV [OR=2.8, p=0.07]) were associated with risk of infection. CONCLUSIONS: In this cohort study, patients with newly diagnosed CLL had a 7.5-fold risk of hospitalization for infection relative to the control cohort. After 4 year follow-up, ∼1 in 5 CLL patients required hospitalization for infection. Although CLL treatment was a substantial risk factor for infection, the risk of infection among untreated patients remained higher than controls. Disclosures: 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. Zent:GlaxoSmithKline: Research Funding; Genentech: Research Funding; Genzyme: Research Funding.

Abstract Genetic analysis has an increasing role in the diagnosis, classification, and management of patients with CLL. Although translocations involving the IgH locus are well characterized in B-cell malignancies such as follicular cell lymphoma, their frequency and significance in CLL are less well defined. We studied a series of patients with a clinical diagnosis of CLL using a FISH probe set including IgH. Methods: FISH was performed on blood using a DNA probe set designed to detect common chromosome anomalies associated with CLL and translocations involving IgH. Patients with an IgH abnormality were further studied using FISH probes sets for IgH and cyclin D1, BCL-2, BCL-3, BCL-6, BCL-11a, c-MYC, MALT-1, c-MAF, FGFR-3 or PAX-5. The clinical presentation, pathology, and flow cytometric immunophenotype was reviewed in patients with various translocations involving IgH. Results: Between 1/1/03 and 6/15/04, samples from 1032 patients with a clinical diagnosis of CLL were analyzed by FISH. Of these, 76 patients (7%) had translocations involving the IgH locus. Sixty one patients had a single translocation partner gene (cyclin D1 45%, BCL-2 24%, BCL-3 8%, c-MYC 2.5%, or BCL-11a 1.3%). Two patients had two independent clones (cyclin D1 and BCL-2; BCL-3 and BCL-11a). In 13 pts (17%) we could not identify the translocation partner. Thirty five (46%) of the 76 patients with IgH translocations had been seen at Mayo Clinic Rochester and had clinical and laboratory data for detailed review. Among these 35 patients, 16 (45%) had fusion of IgH and cyclin D1 and were diagnosed with mantle cell lymphoma (MCL). The immunophenotype of the monoclonal B cells was typical of MCL (CD5+, CD23-) in 6 patients and typical of CLL (CD5+, CD23+) in 4 patients. Six MCL patients had non-diagnostic immunophenotypes: CD5-, CD 23+ (n = 3) and CD5-, CD23- (n = 3). Twelve (34%) of the 35 patients had the IGH/BCL-2 fusion gene. Of these, 3 patients had leukemic phase follicular lymphoma, one had both CLL and MCL, and 8 had the diagnostic immunophenotype of CLL. The remaining 7 patients (19%) had a variety of translocation partners: BCL-3 (n = 1), BCL-3 and BCL-11a (n = 1), c-MYC (n = 2), and unknown (n = 3). The patients with a translocation involving BCL-3 had a typical CLL immunophenotype. Discussion: The IgH FISH probe detected a molecular defect in 7% of patients with a circulating monoclonal B cell population. In patients with a CLL immunophenotype, use of the IgH probe identified the IgH/cyclin D1 translocation characteristic of MCL in 4 patients, a finding of major clinical significance. Interestingly, after exclusion of MCL patients, more than 4% patients with CLL had other translocations involving IgH, a proportion comparable with other better defined chromosomal abnormalities in CLL. Although IgH/BCL-2 translocation is usually associated with follicular lymphoma, we identified 8 patients with CLL and this translocation. Translocations involving BCL-3 had been described before in CLL with an “atypical” immunophenotype. In contrast both of our patients with BCL-3 had typical phenotypes. Translocations involving IgH and BCL-11a have not been previously described. We conclude that FISH studies using the IgH probe improve the precision of diagnosis in CLL and could also have prognostic value.