Citations

Abstract CLL/SLL and other CLPD are associated with an increased risk of autoimmune hemolytic anemia (AIHA), immune thrombocytopenic purpura (ITP), pure red blood cell aplasia (PRBCA), and autoimmune agranulocytosis (AIAG). CLL patients with AIHA and ITP have advanced stage disease according to the Rai and Binet clinical classifications, implying a poor prognosis. However, previous community based studies suggest that patients with CLL and immune cytopenias could have a similar prognosis to other patients with CLL. To further define the prognostic significance of autoimmune cytopenia, we studied a cohort of patients seen at the Mayo Clinic Rochester (MCR). Methods The MCR Division of Hematology Chronic Lymphoproliferative Disease Database was used to identify patients with CLPD and autoimmune complications (AID) over a 10 year period (1 January 1995 to 30 December 2004). The clinical records of all patients with AID were thoroughly reviewed and collated with additional biological data. Results Forty-one (6%) of 665 patients with CLPD had AID. Of the patients with CLPD and AID, 21 (51%) had AIHA, 19 (46%) had ITP, 8 (20%) had PRBCA and 2 (5%) had AIAG. 17% of patients had 2 or more AID diagnoses. In 4 patients (10%) the diagnosis of AID preceded the diagnosis of CLPD, and in 7 patients (17%) the diagnoses were made concurrently. In the 32 patients with CLL, the median lymphocyte count at diagnosis was 24.8 x 109/L (5.18 – 121.8). Of 27 CLL patients who had interphase FISH analysis performed, 12 (44%) had abnormalities associated with poor prognosis CLL (17p13–11% 11q22–22%, 12+ 11%), and 15 (56%) had results associated with a more favorable prognosis (no detectable abnormalities or 13q14 deletion as the sole abnormality). CD38 was positive (> 30% of cells) in 38% of 21 tested patients. 39 patients required treatment for their AID. Treatment included corticosteroids (90%), splenectomy (31%), chemotherapy (31%), and rituximab (46%). Response rates following the first treatment for AID were: AIHA 53% complete response (CR) and 26% partial response (PR); ITP 56% CR and 22% PR; PRBCA 38% CR and 38% PR; AIAG no responses. Of the 41 patients seen over the 10 year period, there were 4 deaths (2 from CLPD). Conclusions This study of a large cohort of community and referred patients showed a prevalence of AID similar to that reported in community based studies. We found an equivalent prevalence of AIHA and ITP as well as a substantial number of patients with 2 or more AID complications. This could be due in part to detailed workup of all cytopenias. In addition, 27% of patients did not have a prior diagnosis of a B cell malignancy when presenting with AID. The measured biological risk factors (FISH anomalies and CD38) suggest that CLL patients with AID do not have a higher percentage of high risk CLL. The majority of patients responded well to AID treatment. Mortality appears to be lower than CLL patients with non-autoimmune cytopenia. These preliminary data suggest that AID is a common and often presenting complication of CLL/SLL and other CLPD. Early diagnosis and management of AID could lead to improved outcomes.

Abstract Background: Non-Hodgkin lymphoma (NHL) is a malignancy of lymphocytes, and may develop in the setting of inflammation and immune dysfunction. Small scale evaluations have suggested that common genetic variation in candidate genes related to immune function may predispose to the development of NHL. Here we report a comprehensive analysis of variants within genes associated with immunity and inflammation and risk of NHL. Methods: We used ParAllele’s Immune and Inflammation panel of 9,412 single nucleotide polymorphisms (SNPs) from 1,450 immune/inflammation genes as a discovery tool in a clinic-based study of 458 NHL cases and 484 frequency matched controls seen at the Mayo Clinic from 2002–2005. The panel included 537 coding non-synonymous SNPs (nsSNPs), with the remainder of the SNPs selected as tags from HapMap (tagSNPs) to provide coverage of the candidate genes (r2 = 0.8 and minor allele frequency >0.05). To assess the association of individual SNPs with risk of NHL, we calculated Odds Ratios (ORs) and 95% confidence intervals, adjusted for age and gender. The most prevalent homozygous genotype was used as the reference group, and each polymorphism was modeled individually as having a log-additive effect in the regression model. Associations between haplotypes from each gene and the risk of NHL were calculated using a score test implemented in HAPLO.SCORE. We also modeled the main effects for all independent (r2 <0.25) SNPs from a gene in a multivariate logistic regression model. Results: The mean age at diagnosis was 60 years for cases and 58% were male; in controls the mean age at enrollment was 61.6 years and 55% were male. In the gene analyses, the strongest findings (p≤0.001 from multiple SNP logistic regression or haplotype analysis) were for cAMP responsive element binding protein 1 (CREB1; p=0.0004), fibrinogen alpha chain (FGA; p=0.0006), TNF receptor-associated factor 1 (TRAF1; p=0.001), dual specificity phosphatase 2 (DUSP2; p=0.001), and fibrinogen gamma chain (FGG; p=0.001). In the nsSNP analyses, the strongest findings (p≤0.01) were for integrin β3 (ITGB3) L59P (OR=0.64, 0.50–0.83), Beta-1,3-N-acetylglucosaminyltransferase 3 (B3GNT3) H328R (OR=0.72, 0.57–0.91), transporter 2, ATP-binding cassette (TAP2) T665A (OR=1.32, 1.07–1.63), HLA-B associated transcript 2 (BAT2) V1895L (OR=0.60, 0.42–0.85), and complement component 7 (C7) T587P (OR=1.39, 1.07–1.80). Conclusions. Our results suggest that genetic variability in genes associated with antigen processing (CREB1 and TAP2), lymphocyte trafficking (B3GNT3), immune activation (TRAF1, BAT2), complement and coagulation pathways (FGA, FGG, ITGB3, C7), and MAPK signaling (DUSP2) may be important in the etiology of NHL, and should be pursued in replication studies.

Abstract Background: Chronic lymphocytic leukemia (CLL) can have a profound effect on the quality of life (QOL) of patients living with the illness. To our knowledge, no studies to date have evaluated the influence of the doctor-patient relationship on patient’s emotional distress or QOL. Methods: We conducted an international, web-based survey of patients with CLL using standardized instruments to evaluate QOL. Additional questions on the survey explored how often patients thought about their disease and evaluated their satisfaction with specific aspects of their relationship with the physician caring for them. Patients were also asked to indicate what phrases their physicians had used to describe/characterize CLL. Results: Between June and October 2006, 1482 patients responded to the survey. The diagnosis of CLL was validated in a randomly selected subset of patients. Over half (55.9%; n=822) of patients reported they thought about their CLL diagnosis daily. Although the proportion of patients who thought about CLL daily decreased with time, two or more years after diagnosis over 50% of patients still thought about their disease every day. When asked to indicate their satisfaction with various aspects of the physician caring for their CLL, more than 90% (n=1340) of patients felt their doctor had a good understanding of how their disease was progressing (i.e., the stage, blood counts, lymph nodes) but only 69% (n=1024) felt their physician had a good understanding of how CLL affected their QOL (anxiety, worry, fatigue, etc.). Similarly, while 90% (n=1324) of patients felt comfortable talking to their doctor about treatment and management of CLL, only 77% (n=1134) felt comfortable talking to their doctor about how CLL affected QOL. Reported satisfaction with their physician in these areas strongly related to patients’ measured emotional and overall QOL on standardized instruments (all p<0.001). This effect on QOL remained (p<0.002) after adjustment for age, extent of co-morbid health conditions, measured fatigue, and treatment status in a regression analysis. Finally, patients were asked to indicate whether the physician caring for them had used specific phrases to describe CLL. Thirty-three percent of patients had been told “CLL is the ‘good’ leukemia,” 24% had been told “don’t worry about your CLL,” and 35% had been told “if you could pick what cancer to have, this is what you would choose.” Overall, 52% of patients had received one or more of these characterizations of CLL by their physician. The emotional and overall QOL were worse among patients who reported their physician had used these phrases to describe CLL (all p≤0.001). This effect on QOL remained after regression analysis (p<0.002). Patients whose physician had used one of these phrases to describe CLL were also less likely to feel their physician understood how CLL was effecting their QOL and to feel comfortable discussing the effects of CLL on their QOL with their physician (all p<0.001). Conclusions: Physicians play an important role helping patients adjust to the physical, intellectual, and emotional challenges of CLL. The effectiveness with which physicians accomplish these tasks appears to impact the QOL of patients with CLL. Additional studies exploring how physicians can best support patients with CLL are needed.

Abstract Background and Significance : Chronic lymphocytic leukemia (CLL) is the most heritable hematologic malignancy; however, no common CLL predisposition genes are known. Monoclonal B lymphocytosis (MBL) is a hematologic syndrome characterized by small accumulations of B lymphocytes in the peripheral blood. MBL has a CLL-like immunophenotype, may progress to overt CLL, and is over represented in CLL families. Therefore, MBL observed in the context of familial CLL may be a marker of inherited risk for development of CLL. Detailed characterization of family-associated MBL may also provide mechanistic insights into the pathogenesis of familial CLL. Our strategy was to detail the biologic characteristics of CLL in family-associated MBL. Methods : Persons with MBL were identified by flow cytometric screening of peripheral blood from unaffected members of CLL kindreds ascertained by Genetic Epidemiology of CLL Consortium (GEC) sites. Flow cytometry was used to determine the surface immunophenotype including CD38 and intracellular ZAP-70. We defined MBL as populations of CD19+, CD5+, CD20lo, CD23+ B cells that comprised at least 2% of the CD19+ peripheral B cell compartment and did not exceed 5.0 × 109 MBL cells/L. RNA and genomic DNA from single MBL cells isolated by flow cytometric sorting were analyzed using PCR to determine immunoglobulin heavy and light chain sequences. MBL cells were sorted in bulk for FISH for loci associated with clinical CLL. Results : Twenty-two out of 190 (12%) unaffected family members were found to have MBL. We observed significant variability in the size of the MBL clone as a percentage of the CD19+ B cell compartment (mean 32%; range 2%–97%). Nonetheless, the absolute size of the MBL clone was small, 15 of 17 individuals had < 200 × 106 MBL cells/L. CD38 expression (defined as CD38 surface expression in ≥30% of MBL cells) was observed in 8 of 18 subjects tested. ZAP-70 (defined as intracellular expression in ≥ 20% of MBL cells) was expressed in 4 of 12 participants. Among 12 subjects tested, 5 MBL expressed both surface IgD and IgM, 3 expressed IgD only, 2 expressed IgM only, and 2 did not express IgD or IgM. Analysis of immunoglobulin heavy and light chains has been completed in 8 individuals. Both immunoglobulin heavy chain variable (IgVH) region mutated (n = 12) and unmutated (n = 4) sequences were observed. Four of 8 individuals had 2 or more unrelated MBL clones (range 2–5), including one individual with both unmutated and mutated clones. Among the 16 MBL clones identified in these 8 subjects, VH3 or VH4 rearrangements were observed in all MBL clones. The most commonly rearranged IgVH genes were 3–07 (3 MBL clones), 3–15 (3), and 4–34 (3). No VH1 family gene rearrangements were observed. In one individual, a VH3–07 MBL clone showed intraclonal diversification suggestive of antigen driven immunoglobulin sequence changes. Twenty productive light chain rearrangements were identified among the 16 MBL clones, with 11 Vλ and 9 Vκ genes used. We observed 6 productive rearrangements of Vλ1–51. MBL cells were bulk sorted for FISH from 9 subjects. Mono or biallelic deletion of 13q14.3 was observed in 5 subjects, the other 4 were normal. Conclusions : Our findings confirm that MBL is commonly observed among the unaffected family members from CLL kindreds. We found that some MBL clones express ZAP-70, CD38 or have unmutated IgVH genes and thus are similar to clinical CLL. The clinical outcome of these MBL clones in relation to our baseline prognostic characterization will be of interest. Small MBL clones are commonly oligoclonal. Importantly, although the immunoglobulin heavy and light chain genes rearranged in these MBL clones are all commonly used in CLL, the absence of VH1 and abundance of Vλ1–51 rearrangements do suggests differences in BCR usage between CLL and MBL. Further investigation of family associated MBL may clarify the genetics and immunobiology of familial CLL.

Abstract Background: Recent literature suggests that statins may have anticancer potential. This effect is thought to be mediated through 2 primary mechanisms - impairment of protein prenylation and interference with the formation of cholesterol-rich lipid microdomains, or “lipid rafts” within the cell membrane. Both of these processes are critical for signaling activity of numerous proteins important for lymphomagenesis and tumor survival. Recent data, however, suggest that statin use may directly inhibit rituximab binding to CD20 and therefore rituximab efficacy. These findings raised significant concerns about statin use during rituximab treatment. Here we report on statin use and clinical outcome in a cohort of FL and DLBCL treated patients, most of whom were treated with rituximab containing regimens. Methods: 293 newly diagnosed FL patients and 228 newly diagnosed DLBCL patients were prospectively enrolled in our Lymphoma SPORE registry from 9/2002 through 6/2007. Pathology was centrally reviewed. All patients were followed for retreatment, progression-free and overall survival. Statin use at the time of diagnosis and time of initial treatment was abstracted from the medical record. An event was defined by disease progression, retreatment, or death due to any cause. Results: 19% of FL patients and 22% of DLBCL patients were on statins at diagnosis; 16% and 19% were on statins during treatment, respectively. Initial therapy for the FL patients was observation (40%), R-CHOP (19%), R-CVP (12%), rituximab alone (8%), CVP (7%), RT (6%), and other (8%). All DLBCL patients received rituximab with CHOP or a CHOP-like regimen. At a median follow-up of 36 months (range 3–73), 109 (37%) and 65 (29%) of FL and DLBCL patients had an event; 19 (6%) and 46 (20%) of FL and DLBCL patients died, respectively. After adjusting for FLIPI, grade, and initial therapy type, statin use at diagnosis was associated with better event-free survival (HR = 0.57, 95% CI: 0.34–0.95, p=0.03) in FL patients. Statin use during treatment in FL patients was also associated with better event-free survival, though not statistically significant (HR = 0.67, 95% CI: 0.39–1.16, p=0.15). The improvement in EFS for FL patients was consistent across initial therapies, including observation. Statin use was not associated with IPI-adjusted overall survival or event-free survival in DLBCL (all p > 0.50). Conclusions: Statin therapy does not appear to be associated with inferior clinical outcome in DLBCL treated with rituximab and CHOP or CHOP-like therapy. Therefore direct inhibition of rituximab binding to CD20 may have limited clinical significance or/and may be overcome by inhibitory impact of statins on cell signaling. The latter possibility is supported by our observation that statin use is associated with improved event-free survival in follicular lymphoma. Figure Figure Figure Figure

Abstract Background: Inhibitors of HMG-CoA reductase (“statins”) are effective in reducing the risk of cardiovascular disease. Preclinical data from rodents suggested that they may increase the incidence of some cancers, including lymphoma. However, monitoring of randomized trials in humans have generally found decreased cancer risks, and these findings have been supported by a growing number of observational studies, including three recent reports of a protective association in NHL. The suggested anti-carcinogenic mechanisms for statins include their impact on inflammatory (including a shift from a Th1 to Th2 profile) and angiogenesis pathways, as well as the induction of apoptosis by modulation of signaling pathways, all of which are of biologic relevance in NHL. Methods: We evaluated the history of statin use and risk of NHL in a clinic-based study of 243 newly diagnosed NHL cases and 499 frequency matched controls enrolled at the Mayo Clinic from 2002-2005. Risk factor data were collected using self-administered questionnaires, and included history of use of cholesterol lowering drugs two or more years before diagnosis (for cases) or enrollment (for controls); specific drug names were not available. Unconditional logistic regression was used to estimate the odds ratio (OR) and 95% confidence intervals (CI), adjusting for age, gender, and residence. NHL subtypes were centrally reviewed, and subtype-specific risks were estimated using polychotomous logistic regression. Results. The mean age at diagnosis was 59.5 years for cases and 55% were men; among controls, the mean age at enrollment was 61.8 years and 54% were men. Twenty-one percent of the cases reported ever using statins compared to 30% of the controls, supporting a lower risk of NHL for ever users (OR=0.69; 95% CI 0.47–1.00). The lowest risk was seen for the longest users; i.e., compared to never users, person who had 10 or more years of use had the greatest reduction in risk (OR=0.52; 95% CI 0.24–1.10). A history of high cholesterol was also inversely associated with risk of NHL (OR=0.72; 95% CI 0.55–0.93). However, the association for the type of treatment for cholesterol lowering varied. Those who were medically treated had inverse association with risk of NHL (OR=0.63; 95% CI 0.46–0.86), while the no treatment and dietary change only groups were found to have no association with risk. The reduction in NHL risk with medical treatment was specific to statin use, as the use of other cholesterol lowering drugs was not associated with risk (OR=1.13; 95% CI 0.50–2.57). These results were not confounded by education, family history of NHL, body mass index, cigarette smoking or alcohol use. In subtype analysis, the inverse association was seen for diffuse large B-cell lymphoma (OR=0.27; 95% CI 0.08–0.90), but not for CLL/SLL or follicular NHL. Conclusions. Statin use was associated with a lower risk of developing NHL, particular diffuse large B-Cell lymphoma.

Abstract BACKGROUND: The diagnosis of monoclonal B-cell lymphocytosis (MBL) is used to characterize patients who have a circulating population of clonal B-cells, a total B-cell count of <5 x 109/L, and no other features of another B-cell lymphoproliferative disorder. In most patients the immunophenotype is similar to that of chronic lymphocytic leukemia with co-expression of CD19 and CD5. The natural history of CLL-phenotype MBL is unclear. We used the Mayo Clinic hematopathology database to identify patients with CLL-phenotype MBL and abstracted clinical information on natural history and prognostic parameters from clinical and research records. METHODS: Using hematopathology records, we identified a cohort of 1820 patients seen at Mayo Clinic between August 1998 and May 2006 who underwent investigation using peripheral blood flow cytometry and who were found to have a clonal B-cell population of CLL phenotype. After elimination of patients with advanced stage (Rai I-IV), previously treated CLL, and individuals with an established diagnosis of CLL/MBL >1 year prior to flow, 636 unique patients with isolated lymphocytosis were identified. Based on our prior analysis (Leukemia Research 32:1458) demonstrating that nearly all patients with an ALC >10x109/L have a B-cell count >5x109/L, we focused the remaining analysis on the 405/636 patients who had an ALC <10x109/L and the necessary raw data from flow cytometry analysis to determine the B-cell count. RESULTS: Among the 405 individuals with an ALC <10x109/L, 306 (76%) had a B-cell count <5x109/L at the time of flow and met the current criteria for the diagnosis of MBL (BJH 130:325). Median age at the time of MBL diagnosis was 70 years (range 34 – 93). A slight male preponderance was observed (59% male). B-cell counts ranged from 0.02 to 4.99x109/L and ALC ranged from 0.3–9.6 x109/L. CD38 status was available for 268 (88%) MBL patients of whom 20% were CD38 positive using the 30% threshold. Cytogenetic analysis by fluorescent in situ hybridization (FISH) was available in 130 (42%) MBL patients. Using the hierarchical classification system of Dohner and colleagues, 57 (44%) were 13q-, 23 (18%) were trisomy 12, 5 (4%) were 11q-, 4 (3%) were 17p-, and 39 (30%) had no defect detected. ZAP-70 status was available for 77 (25%) patients of whom 13% were ZAP-70+ positive. Patients underwent sequential monitoring with a median follow-up of 1.7 yrs (range 0–8.1 yrs). Time from diagnosis to treatment for patients meeting criteria for MBL (n=306) as compared to Rai stage 0 CLL patients with B-cell counts between 5.0 and 10.0 x109/L (n=99) was not significantly different and is shown in Figure 1 (p=0.87). For individuals with MBL, survival free of treatment was 98% (95%CI: 96–100%) at 1 year, 93% (95%CI: 89–98%) at 2 years, and 77% (95%CI: 67–89%) at 5 years. While gender (p=0.10), and B-cell count as a continuous variable (p=0.15) were not found to be associated with time to treatment (TTT) among MBL patients, age (p=0.02, HR=0.94, 95% CI: 0.89–0.99) and CD38 status (p<0.02, HR: 3.3, 95% CI: 1.2–9.2) did show a relationship with TTT. CONCLUSIONS: Although we observed a low rate of progression among individuals meeting criteria for MBL, TFS was similar to individuals meeting current criteria for Rai stage 0 CLL who had B-cell counts between 5.0 – 10.0 x109/L . Among individuals meeting criteria for MBL, younger patients and those who were CD38 positive had a shorter time to treatment. Additional studies are needed to determine what B-cell count or other characteristics should be used to distinguish between MBL and Rai stage 0 CLL. FIGURE: FIGURE:.

Abstract BACKGROUND: The diagnosis of CLL among asymptomatic patients without lymphadenopathy or cytopenias has historically been based on documenting a characteristic lymphocyte clone and the presence of lymphocytosis. Currently, there are no data regarding what lymphocyte type (absolute lymphocyte count [ALC] or B-cell count) or threshold should be used for this diagnosis. We analyzed the relationship of these lymphocyte counts to clinical outcome in a cohort of 459 patients to determine whether the CLL diagnosis: should be based on ALC or B-cell count what lymphocyte threshold should be used for diagnosis whether any lymphocyte counts has independent prognostic value after accounting for molecular prognostic markers. METHODS: We used the Mayo Clinic CLL database to identify all Rai stage 0 patients diagnosed with CLL between 1/1/00 and 12/31/07 who were evaluated and had flow cytometry at Mayo within 12 months of diagnosis. All patients had lymphocytosis (ALC ≥5 x 109/L) and fulfilled the 1996 criteria for CLL. Raw data from the peripheral blood flow analysis was used in conjunction with blood counts to determine ALC and absolute B-cell count at diagnosis. Estimates of survival were calculated using the Kaplan-Meier method. RESULTS: To assess whether B-cell count or ALC more strongly related to clinical outcome, we evaluated the relationship of these variables with treatment free survival (TFS) and overall survival (OS; n=459). When treated as continuous variables (i.e. measuring risk of each 1.0 x 109/L increase in cell count), both ALC and B-cell count were related to TFS (hazard ratio [HR] ALC=1.02; p<0.0001; HR B-cell count=1.02; p<0.0001) and OS (HR ALC=1.02; p=0.04; HR B-cell count=1.02; p=0.02). Because B-cell count and ALC related to TFS and OS as a continuous variables, we next evaluated what threshold (nearest 1.0 x109/L) at diagnosis best related to an individual’s risk of requiring chemotherapeutic treatment and/or dying of CLL using the HR (log rank statistic) and c-statistic [c=1 indicates perfect discrimination between poor survivors and good survivors; c=0.5 equivalent to chance]. The B-cell threshold that best predicted OS was 11 x 109/L (HR=2.36, p=0.01; c=0.60). This threshold also predicted TFS (HR=3.02; p<0.0001; c=0.64). With respect to ALC, a threshold of 12 x 109/L was able to predict TFS (HR=2.28, p=0.003; c=0.62) but not OS (HR=1.62, p=0.12; c=0.56). The B-cell threshold used in the current diagnostic criteria (5 x 109/L) was able to predict TFS (HR=3.24, p<0.0001; c=0.63), but not OS (HR=1.64, p=0.13; c=0.55) Finally, we evaluated the ability of B-cell count to predict TFS independent of IGHV mutation status, ZAP-70 status, CD38 status, and FISH. Since not all patients had all prognostic tests performed, the predictive value of B-cell count (< or ≥11 x 109) independent of the other prognostic variable was assessed for each variable independently. B-cell count retained prognostic value independent of IGHV mutation status, ZAP-70 status, CD38 status, and FISH (all p≤0.001) [Table]. CONCLUSIONS: Although B-cell count and ALC have similar ability to predict TFS and OS as continuous variables, B-cell count may be a better predictor of TFS and OS when a defined lymphocyte threshold is used. These findings provide evidence to justify the recent proposal by Hallek et al (Blood 111:5446) to base the diagnosis of CLL on B-cell count rather than ALC. The results also provide justification for retaining the size of the B-cell count as part of the diagnostic criteria even in the era of molecular/biologic prognostic markers, but imply a threshold of 11 x 109 is the B-cell count that best predicts patient’s TFS and risk of death. Differentiating between CLL and MBL based on a patient’s likelihood of developing clinical symptoms and dying of disease could minimize unnecessary psychologic distress caused by labeling asymptomatic individuals at low risk for adverse clinical consequences as having leukemia. TABLE: TREATMENT FREE SURVIVAL HR p-value CD38 + 3.20 0.0002 B-cell ≥11 3.10 0.0001 ZAP + 8.33 < 0.0001 B-cell ≥11 6.86 < 0.0001 Unmutated 5.26 < 0.0001 B-cell ≥11 3.06 0.001 FISH (17p- or 11q-) 3.97 0.01 B-cell ≥11 3.67 < 0.0001

Abstract Background: The biology, pathology and clinical course of CD5+ chronic B cell lymphoproliferative disorders (CD5+ B-CLPD) excluding chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL) and mantle cell lymphoma (MCL) are poorly defined. These patients could either have a leukemic variant of a known B cell malignancy or a novel disease entity. Objective: To define the clinical features and pathology of CD5+ B-CLPD, compare these features to CLL, and test the hypothesis that at least some of these patients have a unique B cell malignancy. Methods: The study was conducted with Institutional Review Board permission. We studied 231 patients evaluated in the Division of Hematology at Mayo Clinic Rochester between 1996 and 2008 who had CD5+ monoclonal B cell population in the peripheral blood and/or bone marrow, and in whom CLL and MCL was not diagnosed after flow cytometry, histology and interphase fluorescence in situ hybridization (FISH) examinations. Data were abstracted from patient records and from the Mayo Clinic CLL database. Statistical analysis: To compare differences in characteristics between CD5+ and CLL patients, χ2 statistics were used for qualitative variables (gender, treatment, vital status) and t-tests were used for quantitative variables (age). We performed survival and time to treatment analyses with results displayed using Kaplan-Meier curves and p-values calculated using a log-rank test. Results: We analyzed data on 231 CD5+ B-CLPD patients diagnosed between 7/1/1976 and 5/2/2008 and 1572 CLL patients diagnosed in the same time period. Median follow-up from diagnosis was 2.5 years (range 0 to 25.1 years) for the CD5+ patients and 5.2 years (range 0 to 29.9 years) for CLL patients. CD5+ B-CLPD patients had a median age at diagnosis of 68 years (range 30–94 years) with male predominance (61.5%). One hundred and nine of 231 (52.4%) patients received treatment for their CD5+ B-CLPD and 162 (70.1%) patients were alive at the time of last follow-up. As a group, CD5+ B-CLPD patients had a similar male predominance to CLL but were older at diagnosis. CD5+ B-CLPD patients required their first treatment significantly sooner than CLL patients (median 2.0 years vs. 6.8 years, (p< 0.001) and a higher percentage of CD5+ B-CLPD patients required treatment (52.4% vs. 37.5%, p<0.0001). In addition, CD5+ B-CLPD patients had a shorter survival from diagnosis than CLL patients (median 8.4 years vs. 12.5 years, p<0.001). In 60 patients the CD5+ B-CLPD disease was the leukemic phase of a known lymphoma (lymphoplasmacytic lymphoma, n=34; nodal marginal zone lymphoma, n=6; splenic marginal zone lymphoma, n=16; MALT lymphoma, n=4), 46 patients had incomplete data, and 125 patients did not have pathological and flow cytometry features of a known lymphoid malignancy. Next we compared clinical outcome among the 125 patients with unclassifiable CD5+ B-CLPD to the CLL patients. The unclassifiable CD5+B-CLPD patients were older at diagnosis (median 69 vs. 65 years, p=0.0003) but there were no significant differences in time to treatment (median 9.0 years vs. 6.8 years, p=0.93) or the proportion of patients receiving treatment (30% vs. 37.5%, p=0.11). The survival from diagnosis was shorter for unclassifiable CD5+ B-CLPD patients (median 6.3 vs. 12.5 years, p<0.001). Conclusions: In this large series of CD5+ B-CLPD patients we found that a large subset did not meet diagnostic criteria for known B-cell malignancies and could have a novel disease. This will need to be investigated further. We reviewed the pathology of all available archived tissue and intend to examine additional clinical and prognostic information including molecular prognostic markers. Our data provide a clinical rationale for the careful differentiation between patients with CLL and CD5+ B-CLPD.