Citations

Multiple organizations around the world have issued evidence‐based exercise guidance for patients with cancer and cancer survivors. Recently, the American College of Sports Medicine has updated its exercise guidance for cancer prevention as well as for the prevention and treatment of a variety of cancer health‐related outcomes (eg, fatigue, anxiety, depression, function, and quality of life). Despite these guidelines, the majority of people living with and beyond cancer are not regularly physically active. Among the reasons for this is a lack of clarity on the part of those who work in oncology clinical settings of their role in assessing, advising, and referring patients to exercise. The authors propose using the American College of Sports Medicine's Exercise Is Medicine initiative to address this practice gap. The simple proposal is for clinicians to assess, advise, and refer patients to either home‐based or community‐based exercise or for further evaluation and intervention in outpatient rehabilitation. To do this will require care coordination with appropriate professionals as well as change in the behaviors of clinicians, patients, and those who deliver the rehabilitation and exercise programming. Behavior change is one of many challenges to enacting the proposed practice changes. Other implementation challenges include capacity for triage and referral, the need for a program registry, costs and compensation, and workforce development. In conclusion, there is a call to action for key stakeholders to create the infrastructure and cultural adaptations needed so that all people living with and beyond cancer can be as active as is possible for them.

Abstract Abstract 3040 We have previously shown that both lymphocyte and monocyte recovery are strongly associated with improved survival post-myeloablative allogeneic hematopoietic stem cell transplant for acute leukemia (Thoma et al, Biology of Blood and Marrow Transplantation, in press). We hypothesized that rapid lymphocyte and monocyte recovery would have a similarly positive impact on overall survival in reduced intensity conditioning (RIC) HSCT with fludarabine/melphalan. To test our hypothesis, we analyzed 118 consecutive patients who underwent allogeneic HSCT with fludarabine/melphalan conditioning for AML (n=49) and MDS/MPN (n=38), ALL (n=7) and other lymphoid malignancies (n=24) at our institution from 2001–2010. The absolute lymphocyte counts and monocyte counts (ALC and AMC, respectively) derived from routine complete blood counts were determined longitudinally at days +15, +30, +60, +100 and correlated with clinical outcomes. At the day +30 time point, both ALC and AMC > 0.3 × 10(9) cells/L were strongly associated with improved survival (OS 29.6 months vs. 5.4 months, p=0.006 and 25.3 months vs. 5.1 months, p=0.01 respectively), a pattern that continued through the day +100 evaluation. Multivariate analysis including age, CD34+ cell dose, unrelated vs. related HSCT, presence of aGVHD, remission status, and longitudinal hematologic parameters revealed that day +100 ALC (RR 0.21, 95% CI 0.07–0.66, p= 0.0096) and day +100 AMC (RR 0.41, 95% CI 0.2–0.9, p=0.047) were the only independent predictors of survival in the model. Pairwise correlations showed moderate negative associations between aGVHD and day +60 and day +100 ALC and AMC. To further explore whether any inherent patterns in the timing of lymphocyte and monocyte recovery had prognostic value post-HSCT, we performed unsupervised hierarchical clustering on the longitudinal hematopoietic parameters studied in this cohort and identified four clusters of patients, clusters A-D. Patient clusters A and C both demonstrated improved ALC and AMC recovery at the day +60 and day +100 time points and had significantly improved OS compared with clusters B and D (not reached for A and C vs. 54.9 and 22.3 months, respectively, p<0.001). No patient in cluster D had a day +100 AMC > 0.3 × 10(9) cells/L, and these patients experienced more acute GVHD (p=0.006) and relapse (8 of 14 patients, p=0.002) compared with clusters A, B, and C (p=0.002). 29 patients who were unable to be clustered with this algorithm, predominantly due to early toxic deaths, had a median survival of 6 months. Consistent with previous observations in our myeloablative cohort, both lymphocyte and monocyte recovery are predictive of overall survival post-RIC HSCT. However, compared to the myeloablative cohort, monocyte recovery in this series appears slightly less strongly associated with survival. Our results also extend the observation of improved survival of ALC and AMC recovery post-HSCT to diseases beyond acute leukemia. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 2864 Introduction: Clinical trials have illuminated a number of unique treatment strategies for patients with CLL. The impact of these strategies on routine practice remains unknown as trial participants may not reflect the same population encountered outside of a clinical trial setting. Many questions remain regarding the sequencing of therapies based on age and performance status. By characterizing current patterns of care; patients, treating physicians, and regulatory agencies will be able to understand the current landscape of CLL treatment. The Connect® CLL registry was designed to report the natural history and real world management of patients receiving therapy for CLL. In this first report, we characterize the therapeutic approaches used for the treatment of patients with CLL of different age groups (i.e. < 65 years, 65–75 years, and ≥ 75 years) and with an ECOG PS status score of 0 compared to 1 or greater. Methods: Connect® CLL is a prospective, longitudinal, observational, multi-center registry conducted in community and academic research centers in the United States. At present, 237 sites are actively participating with a projected study enrollment of 1500 patients. Eligible patients are to be enrolled within 2 months of being initiated on any line of therapy; whether initial therapy or salvage therapy. Each patient will be followed for up to 60 months. Clinical data, physician choices, patient-reported health-related quality of life, response and survival are to be collected approximately every 3 months during participation. Results: A total of 607 patients have been enrolled (4% from academic sites) with a median age of 70 years. 198 were < 65 years old (age group 1), 187 were between 65–75 years old (age group 2), and 222 were ≥ 75 years old (age group 3). ECOG status varied across the three age groups, with an ECOG status score of ≥ 1 for 39%, 52%, and 70% of patients respectively. Treatment patterns varied across the age groups and by ECOG status in the 496 patients reporting therapies. The most commonly recorded first-line regimens independent of age included fludarabine (F) cyclophosphamide (C) and rituximab (R) (33%), bendamustine (B) +/− R (19%), F +/− R (15%), or investigational therapy (15%). For second-line regimens and beyond, the most frequently recorded regimen was B +/− R (30%), FCR (23%), other F-based regimens (13%), or investigational therapy (8%). The use of FCR for first-line treatment decreased significantly with increasing age group, (45%, 32%, 20%, for age group 1, 2, 3 respectively, p=0.04, spearman correlation) while use of F +/− R remained level across the age groups (14%, 15%, 15%, respectively). Compared to age group 1, first-line therapy with B +/− R in age groups 2 and 3 (15%, 22%, 21%, respectively) was higher but did not achieve statistical significance. B +/− R represented the most common treatment for all age groups (37%, 26%, 29%, respectively) as second line therapy but did not vary by age (P=0.35). The use of chlorambucil was infrequent in all age groups, but was more common in age group 3 patients compared to the others (P=0.01), in both first-line (2%, 4%, 12%, respectively) and subsequent lines of therapy (0%, 1%, 8%, respectively). Treatment assignments did not vary by ECOG PS score for patients in age group 1. First-line therapy for patients with an ECOG PS score of 0 in age groups 2 and 3 consisted of FCR (32% and 15%, respectively), F +/− R (19% and 15%, respectively), B +/− R (16% and 15%, respectively), and alkylating agents (3% and 23%, respectively). Patients in age groups 2 and 3 with ECOG PS score ≥ 1 received B +/− R regimen (33% and 22%, respectively), FCR (23% and 21%, respectively), F +/− R (14% and 10%, respectively) and alkylating agents (7% and 9%, respectively) as first-line therapy. Further description and clarification on the various treatment regimens based on the three age groups and by ECOG PS score will be presented at the meeting. Conclusion: The Connect® CLL Registry is the largest prospective, multicenter registry in the United States evaluating management for patients with CLL. With the currently available data, we characterize the extent to which age and performance status are associated with treatment selection in both first-line and subsequent lines of therapy in routine practice. As enrollment increases and additional follow-up is completed, the data will provide more extensive and real world overview of the current treatment strategies used in CLL patients. Disclosures: Sharman: Celgene - consulting: Consultancy; Pharmacyclics: Honoraria; Calistoga: Honoraria; Portola pharmaceuticals: Consultancy. Flowers:Consultancy: Celgene, Prescription Solutions, Spectrum (future), Seattle Genetics, Millennium (future), Genentech (unpaid): Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Weiss:Celgene: Consultancy. Grinblatt:Celgene: Honoraria, Speakers Bureau. Kay:Genenetech, Celgene, Hospira,: Research Funding. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Research Funding; Amgen: Research Funding. Lamanna:Celgene Corporation: Advisory board. Pashos:United BioSource Corporation: Research Funding. Flinn:Celgene: Research Funding. Kozloff:Celgene: Consultancy. Lerner:Celgene Connect: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene: Employment. Sullivan:Celgene: Employment. Street:Celgene: Employment. Keating:Celgene Connect: Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 1159 Background. Heparin induced thrombocytopenia (HIT) is an immune disorder where platelets are activated by antibodies to a complex of platelet factor 4 antigen and heparin (PF4/H), leading to thrombocytopenia (HIT) and, potentially, thrombosis (HITT). Documentation of anti-PF4/H antibodies in addition to the appropriate clinical findings is essential for making a diagnosis of HIT. In the post-cardiac bypass surgery setting, however, the frequency of elevated anti-PF4/H antibodies is high, whereas the frequency of clinical HIT or HITT is relatively uncommon. Several studies have shown that the presence of anti-PF4/H antibodies may be associated with an increased frequency of adverse outcomes, even in the absence of clinical HIT. The primary objective of this study was to determine the relationship between a positive PF4/H antibody in the postoperative setting with adverse thromboembolic events occurring up to 3 months after cardiac surgery. Methods. Patients undergoing cardiac surgery who were not going to be treated with chronic anticoagulation postoperatively were eligible for this multi-center prospective cohort study. Data were collected daily during hospitalization, and then at 30 and 90 days after surgery using a structured interview format with a standardized questionnaire that included all thrombotic as well as hemorrhagic events, platelet counts, and utilization of antithrombotics in the postoperative setting. The primary outcome variable was a composite endpoint comprising arterial and venous thrombotic events and other miscellaneous events compatible with HIT, as well as death attributable to an event compatible with HIT. Citrated plasma was collected at baseline, pre-discharge (∼4–5 days after surgery), and the 30 day follow-up visit, processed, and stored at −80°C for testing. Laboratory analyses included an anti-PF4/H antibody ELISA (GTI, Waukesha, WI) on all samples, a high-heparin confirmatory test on samples with an OD reading >0.40, and a serotonin release assay (SRA) on all postoperative samples with an OD reading >0.40. A sample size of 800 patients was estimated in order to detect a 3% difference in thromboembolic events assuming a 2 to 10-fold increase risk attributable to seropositivity. Chi-squared testing was used to test the relationship between the primary outcome and postoperative anti-PF4/H levels. Results. Informed consent was obtained from 1030 eligible patients between August 2006 and May 2009, and laboratory and follow-up data were analyzable for 1016 patients. Thirty-day antibody data were available for 888 patients, and fully complete laboratory and 90-day follow-up data were available for 815 patients. The average age was 62 ± 12 years, and 73% of participants were male. A total of 769 patients underwent coronary artery bypass grafting and 237 underwent valve repair or replacement. During the entire study period, there were 17 (1.7%) deaths, 46 thromboembolic events in 44 patients (4.3%), and 25 hemorrhagic events in 24 patients (2.4%). Using an OD cutoff of 0.40 for the ELISA, 339 patients (33.4%) were positive for anti-PF4/H antibodies at the time of discharge, and 630 patients (62%) were positive by day 30. There was no correlation between seropositivity for anti-PF4/H antibodies at the day of discharge or at day 30 and the primary outcome (p=0.47 and 0.73, respectively). Incorporating the high-heparin confirmatory step did not improve the relationship between positive antibody results and the primary outcome. Using a higher cut-off value for the anti-PF4/H antibody ELISA of 1.0 decreased the number of patients with positive results (96 patients at the time of discharge [9.4%] and 221 patients at the 30-day follow-up visit [21.8%]), but this did not improve the relationship between antibody positivity at the day of discharge or day 30 and the primary clinical endpoint, since most patients with the primary endpoint had an ELISA OD below 1.0 (75th percentile of 0.90; 90th percentile of 1.22). Similarly, using the SRA did not identify a relationship between assay results and outcome. Conclusions. The presence of anti-PF4/H antibodies in the postoperative setting following cardiac bypass surgery is not associated with an increased risk for thromboembolic complications. Positive anti-PF4/H results in this clinical setting should be interpreted with caution and only in the context of clinical suspicion for HIT. Disclosures: Ortel: Instrumentation Laboratory: Consultancy; Eisai: Research Funding; GSK: Research Funding. Welsby:CSL Behring: Speaker; CSL Behring: Membership on an entity's Board of Directors or advisory committees; NovoNordisk: Principal Investigator. Heit:Daiichi Sankyo: Honoraria; Ortho-McNeil Janssen: Honoraria; Covidien: Honoraria.

Abstract Abstract 2085 Introduction. Although advanced patient age is commonly used as a factor in selecting therapy for patients with chronic lymphocytic leukemia (CLL), based on presumed associations with functional status, limited data exist regarding the relationships between age and physical, emotional, social, and functional well being. We examined the relationships between age and these domains of health-related quality of life (HRQOL) for CLL patients treated in US community practices. Methods. Baseline data were collected as part of Connect CLL®, a prospective observational registry initiated in March 2010 involving centers in the US. Data on patient demographics and clinical characteristics were provided by clinicians. HRQOL was self-reported by patients in the clinic at enrollment. Patients completed 3 psychometrically validated instruments: the Brief Fatigue Inventory (BFI), EQ-5D, and Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu). Standard analyses were conducted of each instrument given clinical characteristics at that time. Reported mean BFI, EQ-5D and FACT-Leu scores were analyzed by age group (<65, 65–74, >74). Statistical significance of score differences among sub-cohorts was ascertained by ANOVA using SAS 9.1. Results. Baseline HRQOL data were reported by 604 patients, enrolled from 161 centers. Patients were predominantly male (62%) and white (90%) with mean age at 69.9 (standard deviation [SD] 11.2) yrs. HRQOL scores by age group are presented: There were no significant differences between the age groups in fatigue as measured by the BFI, or differences in overall HRQOL as measured by the EQ-5D Visual Analogue Scale (VAS) or the FACT-G. Anxiety/depression and self care are EQ-5D domains that also did not vary by age. Although mobility was most impaired in the oldest age group compared to the two younger groups, usual activities and pain/discomfort were worse in both the younger and older cohorts compared to those 65–74 years of age. FACT-Leu results indicated that the social/family domain scores did not vary by age, but that physical, emotional, and functional domains did vary statistically with the oldest typically doing better than the 65–74 year olds, but not necessarily better than those <65. Conclusions. Initial results from the Connect CLL® Registry indicate that HRQOL does not worsen monotonically with older age. In this cohort, both the youngest and oldest age groups had worse HRQOL in certain domains, presenting an inverted v-shaped relationship. Future analyses should be conducted on: (1) how HRQOL may be affected over time with changes in disease; and, (2) how HRQOL may be influenced by alternative therapies. Results reported here should serve as a useful baseline reference. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Flowers:Genentech/Roche (unpaid): Consultancy; Celgene: Consultancy; Millennium/Takeda: Research Funding; Wyeth: Research Funding; Novartis: Research Funding. Weiss:Celgene: Membership on an entity's Board of Directors or advisory committees. Lamanna:Celgene: Membership on an entity's Board of Directors or advisory committees. Farber:Celgene: Membership on an entity's Board of Directors or advisory committees. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Consultancy, Research Funding; Amgen: Research Funding. Lerner:Celgene: Membership on an entity's Board of Directors or advisory committees. Kay:Celgene: Membership on an entity's Board of Directors or advisory committees. Sharman:Celgene: Membership on an entity's Board of Directors or advisory committees. Grinblatt:Celgene: Membership on an entity's Board of Directors or advisory committees. Flinn:Celgene: Membership on an entity's Board of Directors or advisory committees. Kozloff:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Kahn:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees.

Abstract Abstract 4591 Introduction: Clinicians and investigators appreciate the value of measuring HRQOL for monitoring CLL and the impact of treatments, and commonly use ECOG performance status (PS) and clinician-reported patient fatigue as surrogates for HRQOL in clinical practice. However, limited data exist on the relationships between PS, fatigue, and HRQOL in CLL patients (pts) undergoing treatment in clinical practices. We examined the associations between these measures and 3 psychometrically validated, patient-reported, HRQOL instruments: the Brief Fatigue Inventory (BFI), EQ-5D, and Functional Assessment of Cancer Therapy-Leukemia (FACT-Leu). Methods: Data were collected as part of Connect CLL®, a prospective observational registry initiated in March 2010 involving US practices. Data on pt demographics and clinical characteristics were provided by clinicians. HRQOL was self-reported by pts at enrollment using the BFI, EQ-5D, and FACT-Leu. Mean BFI, EQ-5D and FACT-Leu scores were analyzed by ECOG PS and clinician-reported fatigue. Differences in HRQOL scores between sub-cohorts were assessed by ANOVA. Results: HRQOL data were reported by 604 pts enrolled from 10 academic, 148 community, and 3 government centers. Pts were predominantly male (62%) and white (90%); mean age was 70 (standard deviation 11) years. BFI data (scale: 0 [no fatigue] - 10 [worst fatigue]) indicated that on average pts report that global fatigue, fatigue severity and fatigue-related interference worsen by ECOG severity (Table 1) and are statistically associated with clinician-reported fatigue (Table 2). Mean EQ-5D overall HRQOL as measured by a Visual Analogue Scale (VAS) from 0 (worst) to 100 (best) worsens by ECOG severity and is significantly worse in pts with fatigue. Mean EQ-5D domain scores (scale: 1 [no problem], 2 [some problems], 3 [incapacity]) indicated that pain/discomfort, mobility and usual activities increase in severity as ECOG worsens and in pts with fatigue. FACT-Leu domains except social/family were statistically worse with worse ECOG PS and in pts with fatigue. Conclusions: Initial results from Connect CLL® indicate that HRQOL worsens with worsening ECOG PS, especially in physical / functioning domains, pain/discomfort, and mobility, and worsens across multiple domains among pts whose physicians reported fatigue. Future analyses should be conducted on how HRQOL, PS and fatigue may change over time with changes in CLL, and how they are influenced by therapies. These results may serve as baseline reference. Disclosures: Pashos: Celgene: Membership on an entity's Board of Directors or advisory committees. Flowers:Genentech/Roche (unpaid): Consultancy; Celgene: Consultancy; Millennium/Takeda: Research Funding; Wyeth: Research Funding; Novartis: Research Funding. Weiss:Celgene: Membership on an entity's Board of Directors or advisory committees. Lamanna:Celgene: Membership on an entity's Board of Directors or advisory committees. Farber:Celgene: Membership on an entity's Board of Directors or advisory committees. Kipps:Igenica: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Research Funding; Abbot Industries: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; GSK: Research Funding; Gilead Sciences: Consultancy, Research Funding; Amgen: Research Funding. Lerner:Celgene: Membership on an entity's Board of Directors or advisory committees. Kay:Celgene: Membership on an entity's Board of Directors or advisory committees. Sharman:Celgene: Membership on an entity's Board of Directors or advisory committees. Grinblatt:Celgene: Membership on an entity's Board of Directors or advisory committees. Flinn:Celgene: Membership on an entity's Board of Directors or advisory committees. Kozloff:Celgene: Membership on an entity's Board of Directors or advisory committees. Swern:Celgene Corporation: Employment, Equity Ownership. Kahn:Celgene Corporation: Employment, Equity Ownership. Street:Celgene: Employment, Equity Ownership. Sullivan:Celgene: Employment, Equity Ownership. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees.

Introduction: Menorrhagia is a common health problem affecting ∼5-10% of women. The optimal management of menorrhagia among women with abnormal laboratory hemostasis is uncertain. The goal of this study was to determine the effect of intranasal desmopressin (IN-DDAVP) vs. oral tranexamic acid (TA) on menstrual blood loss (MBL) and quality of life (QOL). Methods: In a cross-over study design, 117 consenting women 18–50 years of age with menorrhagia (defined as subjective report of heavy bleeding and a pictorial blood assessment chart [PBAC] score > 100) with a negative gynecological evaluation and abnormal laboratory hemostasis (62% platelet dysfunction, 15% von Willebrand disease, 23% other coagulation defect or combined) were randomly assigned to initial IN-DDAVP or TA therapy each for two menstrual cycles, followed by cross-over to the second study drug for an additional two cycles. MBL by PBAC was measured at baseline and after each menstrual cycle while QOL was assessed by four validated instruments: Health Related Quality of Life (HRQOL), SF-36®, Center for Epidemiologic Studies Depression Scale (CES-D) and the Ruta menorrhagia questionnaire. Results: There was a statistically significant decrease in the PBAC for both treatments. On average, the estimated decrease in the PBAC from baseline for IN-DDAVP was −66.0 (CI = (−89.5, −42.6)) and for TA, −107.8 (CI = (−131.5, −84.1)). The decrease in the PBAC score was larger for TA with a difference of 41.8 (p-value = 0.0002, CI = (20.4, 63.2)) between the two treatments. In the multivariable analysis, the test for treatment-cycle number interaction was not significant, suggesting no carry-over effect. The test for a treatment type effect was significant (p<0.0001) suggesting a greater reduction in PBAC score with TA compared to IN-DDAVP. Both IN-DDAVP and TA generally improved QOL as assessed by each of the four instruments. Over-all, the Ruta Menorrhagia Questionnaire and the Center for Epidemiologic Studies Depression Scale measurements showed the most statistically significant improvements. Conclusion: Both TA and IN-DDDAVP reduce MBL and improve QOL in females with menorrhagia and abnormal laboratory hemostasis.The significance of these findings are underscored by the fact that prior studies of menorrhagia treatment in these patients have not included validated QOL instruments. The marked improvement in MBL and QOL noted with TA and IN-DDAVP appears to justify hemostasis screening in women presenting with menorrhagia for whom no gynecological cause can be found.

Abstract Introduction The natural history of patients (pts) with CLL varies considerably. Some pts may have asymptomatic, indolent disease, while others may require therapy soon after diagnosis. Clinical staging systems cannot identify early-stage pts at risk for inferior survival. Genetic and molecular markers can provide additional information regarding prognosis and response prediction, however their utilization is limited in routine practice (Mato, ASCO 2015) and results can be conflicting. There is a need to identify characteristics of early-stage CLL pts at highest risk of early progression and/or death. Such characteristics, if readily available and reproducible, may identify such pts as candidates for early-intervention studies; particularly in the era of kinase inhibitor therapy. The Connect CLL registry is the largest prospective study describing real-world management of a diverse cohort of 1494 CLL pts. In this analysis, we evaluate key factors that are associated with early CLL-associated mortality in clinical practice. Methods Connect CLL is a multicenter, observational cohort study aimed at understanding patterns of CLL management without a study-specific intervention. Eligible pts were adults with a clinical diagnosis of CLL, enrolled between 2010-2014 at 179 community (n=1311), 17 academic (n=155), and 3 government (n=28) sites within ≤ 2 months of initiating either a first line of therapy (LOT1), or a second-line or subsequent LOT (LOT≥2). The goal of this analysis was to assess potential predictors of death occurring within 18 months following initiation of frontline therapy (LOT1). Because CLL usually presents as an indolent disease associated with a prolonged clinical course, we chose to define early mortality as any death occurring ≤ 18 months following enrollment. Univariate logistic regression was performed against potential predictor variables including several clinical characteristics and comorbid conditions, race, treatment (Tx) site, insurance type, geographic region, presence of prior malignancies, genetic prognostic factors (FISH and cytogenetics) at enrollment, cell surface markers (Zap70, CD38), reasons for Tx initiation and Tx choice for LOT1 (BR or FCR). IgVH mutation status and genetic mutations (P53, Notch1, etc.) were not included as these tests were not readily performed in community practice. Predictors that were found to be significant at the 0.15 significance level were included in the multivariable logistic regression using a stepwise variable selection process, to identify factors associated with early mortality. Results 1344 pts completed 18 months of follow-up (n=1111) or died (n=233) within the first 18 months of study enrollment. Of these, 801 pts were enrolled in LOT1 (median time from diagnosis to LOT1 was 1.3 yrs; IQR, 0.1-3.7 yrs). 82 of 801 pts (10.2%) died within 18 months of LOT1 initiation; 41% of pts with available clinical information who died, were defined as early-stage (Rai stage 0-1). Of 26 potential predictors evaluated, 12 were associated with early mortality among LOT1 pts at the 0.15 significance level in univariate analyses including site, race, age>75, CD-38, del(17p), ECOG PS, CCI group, RAI stage, creatinine clearance, insurance status, reasons for Tx initiation, anemia and lymphocytosis. In multivariable logistic regression analyses we identified 4 independent predictors of mortality within 18 months of LOT1 initiation (Table): pt age, CD38 expression, baseline decreased hemoglobin (as a reason for Tx initiation), and race. Conclusions In CLL pts with Rai stage 0-1, we have identified 4 factors which are associated with increased risk of death within 18 months of initiation of frontline therapy. Interestingly, neither choice of FCR vs BR chemoimmunotherapy nor the presence of del(17p)/del(11q) were predictors of early mortality. Using these results, we are currently designing a model to predict early mortality in early-stage pts. Once validated, these results may provide a framework for trials targeting the "early stage, symptomatic" CLL pts for novel interventions. Table. Multivariable Analysis: Predictors of Early Mortality Odds ratio estimate 95% CI P -value LOT1, n=781 Age ≥75 years, yes vs no 2.2 1.4-3.5 0.0012 CD38 expression, positive vs negative/not specified 1.8 1.1-2.9 0.0182 Anemia as reason for treatment, yes vs no 2.1 1.3-3.4 0.0040 Race, other vs Caucasian 1.9 1.0-3.8 0.0501 Disclosures Farber: Gilead: Speakers Bureau; Genentech: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Pharmacyclics: Honoraria, Speakers Bureau. Mato:TG Therapeutics: Research Funding; Genentech: Consultancy; AbbVie: Consultancy, Research Funding; Pronai Pharmaceuticals: Research Funding; Gilead: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Celgene Corporation: Consultancy, Research Funding; Janssen: Consultancy. Nabhan:Celgene Corporation: Honoraria, Research Funding. Kipps:Pharmacyclics Abbvie Celgene Genentech Astra Zeneca Gilead Sciences: Other: Advisor. Flowers:Spectrum: Research Funding; Pharmacyclics: Research Funding; Infinity Pharmaceuticals: Research Funding; OptumRx: Consultancy; Gilead Sciences: Research Funding; Spectrum: Research Funding; Genentech: Research Funding; Onyx Pharmaceuticals: Research Funding; Acerta: Research Funding; OptumRx: Consultancy; Gilead Sciences: Research Funding; AbbVie: Research Funding; Pharmacyclics: Research Funding; Seattle Genetics: Consultancy; Onyx Pharmaceuticals: Research Funding; Genentech: Research Funding; Millennium/Takeda: Research Funding; Celegene: Other: Unpaid consultant, Research Funding; Janssen: Research Funding; Infinity Pharmaceuticals: Research Funding; Acerta: Research Funding; AbbVie: Research Funding; Seattle Genetics: Consultancy; Celegene: Other: Unpaid consultant, Research Funding; Janssen: Research Funding; Millennium/Takeda: Research Funding. Kay:Pharmacyclics: Research Funding; Hospira: Research Funding; Genentech: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolero Pharma: Research Funding; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding. Lamanna:Genentech-Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Grinblatt:Celgene Corporation: Consultancy, Honoraria, Speakers Bureau. Kozloff:Celgene: Consultancy, Speakers Bureau; Genentech: Consultancy, Speakers Bureau; Roche: Consultancy, Speakers Bureau; AbbVie: Consultancy. Sullivan:Celgene Corporation: Employment, Equity Ownership. Flick:Celgene Corporation: Employment, Equity Ownership. Kiselev:Celgene Corporation: Consultancy. Bhushan:Celgene Corporation: Employment, Equity Ownership. Swern:Celgene Corporation: Employment, Equity Ownership. Sharman:TG Therapeutics, Inc.: Research Funding; Celgene Corporation: Consultancy, Research Funding; Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Research Funding; Calistoga: Honoraria; Roche: Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding.

Abstract The mammalian target of rapamycin (mTOR), a kinase that regulates proliferation and apoptosis, has been extensively evaluated as a therapeutic target in hematologic malignancies. Rapamycin analogues, which partially inhibit mTOR complex 1 (mTORC1), showed limited anti-tumor activity due to feedback mechanisms involving mTORC2 and incomplete inhibition of mTORC1. Thus, attention has turned to agents targeting both mTOR complexes by binding the mTOR kinase domain. The purpose of this study was to delineate the mechanisms of mTOR dual inhibitor induced apoptosis in human neoplastic lymphoid cells in vitro. MTS assays and propidium iodide staining followed by flow cytometry for subdiploid populations demonstrated that OSI-027 and MLN0128 inhibited cell proliferation and induced apoptosis in a wide range of lymphoid cell lines including Jurkat, Nalm-6, Molt-4, and SeAX. Raptor and Rictor knockdown in Jurkat and Nalm-6 increased cell death, suggesting both mTOR complexes play a role in apoptosis. 4EBP1 phosphorylation was inhibited by mTOR dual inhibitors, but not by rapamycin. Expression of 4EBP1 T37A/T46A and 4EBP1 T37A/T46A/S65A/T70A, which mimic dephosphorylated 4EBP1, increased Puma mRNA and protein levels as well as apoptosis. Moreover, 4EBP1 knockdown abrogated mTOR dual inhibitor induced Puma upregulation and cell death, further supporting the role of 4EBP1 dephosphorylation in mTORC1 dependent apoptosis. In accord with the known dependence of c-Myc translation on the eIF4E/eIF4G complex, we also observed c-Myc downregulation after treatment with OSI-027, MLN0128 and 4EGI-1, but not rapamycin. Puma induction mirrored c-Myc downregulation under a variety of conditions, including expression of nonphosphorylatable 4EBP1 in parental Jurkat cells or wt 4EBP1 in 4EBP1 deficient cells. Furthermore, c-Myc knockdown induced Puma mRNA and protein as well as increased apoptosis. Collectively, these results support a model in which mTORC1 inhibition, acting through 4EBP1, induces Puma upregulation and apoptosis through c-Myc downregulation. In order to assess the parallel mTORC2-dependent Bim-mediated apoptotic mechanism, we utilized reporter assays and RNAseq experiments. OSI-027-induced Bim promoter activity decreased markedly when the nucleotides -29 to -18 were removed, suggesting that this response element is critical for OSI-027-induced promoter activation. In silico analysis identified eight transcription factors, including SP1, Egr-1, and Myb, that potentially bind this 12-bp region. In RNAseq experiments, we detected a 9-fold increase in Egr-1. Egr-1 upregulation was confirmed by qRT-PCR and immunoblotting after dual inhibitors treatment or Rictor knockdown. Moreover, dominant negative Egr-1 or Egr-1 knockdown diminished dual inhibitor-induced Bim promoter activation and Bim upregulation. Chromatin immunoprecipitation assays demonstrated that OSI-027 enhances binding of Egr-1 to a region of the Bim promoter including bp -29 to -18, further confirming that Egr-1 functions as a direct transcriptional activator for Bim upon mTOR dual inhibitor treatment. NFκB is a known transcription factor for Egr-1 and we observed increased p65 in the nucleus and increased NFκB transcriptional activity after dual inhibitor treatment. Overexpression of S32A/S36A IκB impaired the ability of dual inhibitors to induce NFκB transcriptional activation, Egr-1 mRNA and protein, Bim promoter activation and Bim mRNA and protein upregulation. Collectively, these results suggest that mTORC2 inhibition induces Bim upregulation and apoptosis through NFκB and Egr-1 transactivation. When fresh clinical ALL isolates were exposed to OSI-027 or MLN0128 ex vivo, inhibition of 4EBP1 phosphorylation along with upregulation of Egr-1 and Bim and/or c-Myc downregulation accompanied by Puma induction occurred, indicating that the pathways identified in ALL cell lines can also potentially be engaged in clinical ALLs. These observations not only provide new insight into the survival roles of mTOR in lymphoid malignancies, but also identify alterations that potentially modulate the action of mTOR dual inhibitors. Disclosures No relevant conflicts of interest to declare.

Abstract Introduction: Results of several large clinical trials have demonstrated inferior outcomes when CLL patients (pts) with del(17p), or to a lesser extent del(11q), are treated with chemoimmunotherapy. Despite recent advances in targeted therapies, management of unfavorable-risk CLL pts remains challenging. The Connect CLL registry is the largest prospective study describing real-world management of a diverse cohort of CLL pts. Here we describe the management of genetically unfavorable-risk CLL pts enrolled in the Connect CLL Registry, and test associations between del(17p)/del(11q) mutations and treatment choice, timing of therapy, and outcomes. Methods: Connect CLL is a longitudinal, multicenter, observational cohort study of 1,494 CLL pts enrolled between 2010-2014 at 179 community (n=1,311), 17 academic (n=155), and 3 government (n=28) sites within ≤ 2 months of initiating any line of therapy (LOT). For this study, pts were categorized into 3 risk-groups based on FISH or cytogenetic results at enrollment: unfavorable risk [either del(17p)/del(11q) positive]; favorable risk [absence of del(17p)/del(11q)]; and unknown risk (testing not performed). Analyses were stratified by LOT at enrollment (LOT1 vs LOT≥2). The risk of an EFS defining event was compared across risk-groups stratified by LOT, including only pts who had been followed for ≥ 2 years (yr) or those who had an EFS defining event (death, progression/relapse, transformation) within 2 yr, using multivariable (MV) logistic regression. Logistic regression analyses of 18 potential predictors were performed, and significant predictors (0.10 significance level) were then included in a MV logistic regression model to identify factors associated with inferior 2 yr EFS. Results: Of 1,494 pts enrolled, 225 had unfavorable risk [del(17p), n = 94; del(11q), n = 131], 621 favorable risk, and 648 unknown risk. For pts enrolled at LOT1 (n = 889), 141 had unfavorable risk, 425 favorable risk, and 323 unknown risk. Baseline characteristics for unfavorable-risk pts in LOT1 included: median age 69 yr (62% age ≥ 65 yr); 91% White; 53% Rai stage ≥ 2; 86% community sites; 0.9 yr median time from dx to LOT1; 8% family history CLL. With the exception of age, unfavorable-risk pts treated at LOT1 with FCR (median age 63) and BR (median age 74) had similar demographic characteristics. Median time from dx to LOT1 was 1.0, 1.3, and 2.0 yr for unfavorable risk, favorable, and unknown-risk pts, respectively (P < 0.001 for comparison of the 3 risk-subgroups). Reasons for initiating treatment in unfavorable-risk pts were lymphadenopathy (42%), bone marrow failure (36%), and lymphocytosis (33%) (similar across the 3 risk-subgroups). The three most common therapies for unfavorable-risk pts in LOT1 were FCR (36%), BR (21%), and FR (6%). Favorable-risk (FCR 26%, BR 24%, and R 10%) and unknown-risk pts (FCR 22%, BR 18%, and R 17%) were treated similarly in LOT1. Median time from dx to LOT≥2 was 3.5 yr in unfavorable-risk pts (vs 4.1 yr in favorable and 4.6 yr in unknown risk pts; P = 0.04 for comparison of the 3 risk-groups). For unfavorable-risk pts in LOT≥2, BR (26%), R (11%), and FCR (10%) were most commonly prescribed. At any LOT, only 10% of unfavorable-risk pts participated in a clinical trial and 4% underwent allogeneic SCT. Overall, 33% (LOT1) and 68% (LOT≥2) of pts experienced an EFS defining event within 2 yrs. Pts with unfavorable risk (vs favorable risk) had significantly worse outcomes, with a higher-risk of death/progression/relapse/transformation within 2 yr (LOT1: 42% vs 29%, respectively, P = 0.008; and LOT≥2: 80% vs 61%, P = 0.004). Unfavorable-risk pts treated with either FCR or BR at LOT1 had similar risk of an EFS defining event (odds ratio [OR] 0.9, CI 0.6-1.5). Results from MV analyses of LOT1 pts identified unfavorable risk (OR 1.9; 95% CI 1.1-3.1; P = 0.0168) and age ≥ 75 years (OR 2.6; 95% CI 1.5-4.3; P = 0.007) as independent predictors of inferior EFS at 2 yr. Conclusions: Although similar treatment approaches were used among the 3 risk-subgroups, pts with unfavorable-risk CLL had inferior outcomes at LOT1 and LOT≥2. These results, from a real-world setting, validate the findings for unfavorable risk pts from large clinical trials. These data underscore the importance of performing genetic risk stratification on all CLL pts, and support consideration of clinical trials and/or B cell receptor targeted agents for unfavorable risk CLL pts when treatment is considered. Disclosures Mato: Janssen: Consultancy; AbbVie: Consultancy, Research Funding; Genentech: Consultancy; Pronai Pharmaceuticals: Research Funding; Celgene Corporation: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Gilead: Consultancy, Research Funding; TG Therapeutics: Research Funding. Nabhan:Celgene Corporation: Honoraria, Research Funding. Flowers:Celegene: Other: Unpaid consultant, Research Funding; Celegene: Other: Unpaid consultant, Research Funding; Spectrum: Research Funding; Infinity Pharmaceuticals: Research Funding; OptumRx: Consultancy; Onyx Pharmaceuticals: Research Funding; Janssen: Research Funding; AbbVie: Research Funding; Seattle Genetics: Consultancy; Onyx Pharmaceuticals: Research Funding; Pharmacyclics: Research Funding; Gilead Sciences: Research Funding; Genentech: Research Funding; Acerta: Research Funding; Genentech: Research Funding; Janssen: Research Funding; Millennium/Takeda: Research Funding; Infinity Pharmaceuticals: Research Funding; Spectrum: Research Funding; Millennium/Takeda: Research Funding; Pharmacyclics: Research Funding; OptumRx: Consultancy; Gilead Sciences: Research Funding; AbbVie: Research Funding; Seattle Genetics: Consultancy; Acerta: Research Funding. Kay:Pharmacyclics: Research Funding; Genentech: Research Funding; Tolero Pharma: Research Funding; Celgene Corporation: 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; Hospira: Research Funding. Kipps:Pharmacyclics Abbvie Celgene Genentech Astra Zeneca Gilead Sciences: Other: Advisor; Pharmacyclics Abbvie Celgene Genentech Astra Zeneca Gilead Sciences: Other: Advisor. Grinblatt:Celgene Corporation: Consultancy, Honoraria, Speakers Bureau. Lamanna:Genentech-Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Infinity: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Kozloff:Genentech: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Roche: Consultancy, Speakers Bureau; AbbVie: Consultancy. Sullivan:Celgene Corporation: Employment, Equity Ownership. Flick:Celgene Corporation: Employment, Equity Ownership. Kiselev:Celgene Corporation: Consultancy. Bhushan:Celgene Corporation: Employment, Equity Ownership. Swern:Celgene Corporation: Employment, Equity Ownership. Sharman:Gilead: Consultancy, Honoraria, Research Funding, Speakers Bureau; Calistoga: Honoraria; Roche: Research Funding; TG Therapeutics, Inc.: Research Funding; Celgene Corporation: Consultancy, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding; Janssen: Research Funding.