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Relapsed/refractory primary central nervous system lymphoma (PCNSL) and secondary central nervous system lymphoma (SCNSL) are associated with short survival and represent an unmet need, requiring novel effective strategies. Anti-CD19 chimeric antigen receptor (CAR) T cells, effective in systemic large B-cell lymphoma (LBCL), have shown responses in PCNSL and SCNSL in early reports, but with limited sample size. We, therefore, performed a comprehensive systematic review and meta-analysis of all published data describing CAR T-cell use in PCNSL and SCNSL. This identified 128 patients with PCNSL (30) and SCNSL (98). Our primary objectives were to evaluate CAR T-cell specific toxicity (immune effector cell-associated neurotoxicity syndrome [ICANS] and cytokine release syndrome [CRS]) as well as response rates in these 2 populations. Seventy percent of patients with PCNSL had CRS of any grade (13% grade 3-4) and 53% had ICANS of any grade (18% grade 3-4). Comparatively, 72% of the SCNSL cohort experienced CRS of any grade (11% grade 3-4) and 48% had ICANS of any grade (26% grade 3-4). Of the patients with PCNSL, 56% achieved a complete remission (CR) with 37% remaining in remission at 6 months. Similarly, 47% of patients with SCNSL had a CR, with 37% in remission at 6 months. In a large meta-analysis of central nervous system (CNS) lymphomas, toxicity of anti-CD19–CAR T-cell therapy was similar to that of registrational studies in systemic LBCL with no increased signal of neurotoxicity observed. Encouraging efficacy was demonstrated in patients with CNS lymphoma with no discernible differences between PCNSL and SCNSL.

OBJECTIVEThe aim of this study was to describe cross-sectional and longitudinal associations between glycated hemoglobin (HbA1c) levels and strategies to control type 2 diabetes with baseline levels and 8-year changes in a deficit accumulation frailty index (FI), a commonly used marker of biological aging.RESEARCH DESIGN AND METHODSWe conducted exploratory analyses from 4,169 participants, aged 45–76 years, who were followed in the Action for Health in Diabetes (Look AHEAD) randomized controlled clinical trial, pooling data across intervention groups. We related baseline and 8-year levels of HbA1c with FI scores using analyses of variance and covariance. Associations between 8-year changes in FI and the use of diabetes medication classes and weight changes were assessed with control for HbA1c levels. Inverse probability weighting was used to assess bias associated with differential follow-up.RESULTSBaseline and average HbA1c levels over time of 5% were independently associated with slower increases in frailty.CONCLUSIONSLower HbA1c levels among individuals with diabetes are associated with slower biological aging as captured by a deficit accumulation FI. Strategies to control diabetes through weight loss or metformin use may also slow aging.

The comparative safety of sulfonylureas (SUs) in nursing home (NH) residents remains understudied despite widespread use. We compared the effects of three SU medications and initial SU doses on adverse glycemic and cardiovascular events among NH residents.This national retrospective cohort study linked Medicare claims with Minimum Data Set 2.0 assessments for long-stay NH residents aged ≥65 years between January 2008 and September 2010. Exposures were the SU medication initiated (glimepiride, glipizide, or glyburide) and doses (standard or reduced). One-year outcomes were hospitalizations or emergency department visits for severe hypoglycemia, heart failure (HF), stroke, and acute myocardial infarction (AMI). After the inverse probability of treatment and inverse probability of censoring by death weighting, we estimated hazard ratios (HR) using Cox regression models with robust 95% confidence intervals (CI).The cohort (N = 6821) included 3698 new glipizide, 1754 glimepiride, and 1369 glyburide users. Overall, the mean (standard deviation) age was 81.4 (8.2) years, 4816 (70.6%) were female, and 5164 (75.7%) were White non-Hispanic residents. The rates of severe hypoglycemia were 30.3 (95% CI 22.3-40.1), 49.0 (95% CI 34.5-67.5), and 35.9 (95% CI 22.2-54.9) events per 1000 person-years among new glipizide, glimepiride, and glyburide users, respectively (glimepiride versus glipizide HR 1.6, 95% CI 1.0-2.4, p = 0.04; glyburide versus glipizide HR 1.2, 95% CI 0.7-1.9, p = 0.59). The rates of severe hypoglycemia were 27.1 (95% CI 18.6-38.0) and 42.8 (95% CI 33.6-53.8) events per 1000 person-years among new users of reduced and standard SU doses, respectively (HR 2.2, 95% CI 1.4-3.5, p 0.01). Rates of HF, stroke, and AMI were similar between medications and doses.Among long-stay NH residents, new use of glimepiride and standard SU doses resulted in higher rates of severe hypoglycemic events. Cardiovascular outcomes may not be affected by the choice of SU medication or dose.

The relative efficacy of autologous hematopoietic cell transplant (auto-HCT) vs chimeric antigen receptor T-cell (CAR-T) therapy in patients with diffuse large B-cell lymphoma (DLBCL) who achieve a partial remission (PR) after salvage chemotherapy is not known. Using the Center for International Blood & Marrow Transplant Research registry database, we identified adult patients with DLBCL who received either an auto-HCT (2013-2019) or CAR-T treatment with axicabtagene ciloleucel (2018-2019) while in a PR by computed tomography or positron emission tomography scan. We compared the clinical outcomes between the 2 cohorts using univariable and multivariable regression models after adjustment for relevant baseline and clinical factors. In the univariable analysis, the 2-year progression-free survival (52% vs 42%; P = .1) and the rate of 100-day nonrelapse mortality (4% vs 2%; P = .3) were not different between the 2 cohorts, but consolidation with auto-HCT was associated with a lower rate of relapse/progression (40% vs 53%; P = .05) and a superior overall survival (OS) (69% vs 47%; P = .004) at 2 years. In the multivariable regression analysis, treatment with auto-HCT was associated with a significantly lower risk of relapse/progression rate (hazard ratio = 1.49; P = .01) and a superior OS (hazard ratio = 1.63; P = .008). In patients with DLBCL in a PR after salvage therapy, treatment with auto-HCT was associated with a lower incidence of relapse and a superior OS compared with CAR-T. These data support the role of auto-HCT as the standard of care in transplant-eligible patients with relapsed DLBCL in PR after salvage therapy.

Most patients with advanced-stage indolent non-Hodgkin lymphoma have multiple relapses. We assessed axicabtagene ciloleucel autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy in relapsed or refractory indolent non-Hodgkin lymphoma.ZUMA-5 is a single-arm, multicentre, phase 2 trial being conducted at 15 medical cancer centres in the USA and two medical cancer centres in France. Patients were eligible if they were aged 18 years or older, with histologically confirmed indolent non-Hodgkin lymphoma (follicular lymphoma or marginal zone lymphoma), had relapsed or refractory disease, previously had two or more lines of therapy (including an anti-CD20 monoclonal antibody with an alkylating agent), and an Eastern Cooperative Oncology Group performance score of 0 or 1. Patients underwent leukapheresis and received conditioning chemotherapy (cyclophosphamide at 500 mg/mBetween June 20, 2017, and July 16, 2020, 153 patients were enrolled and underwent leukapheresis, and axicabtagene ciloleucel was successfully manufactured for all enrolled patients. As of data cutoff (Sept 14, 2020), 148 patients had received an infusion of axicabtagene ciloleucel (124 [84%] who had follicular lymphoma and 24 [16%] who had marginal zone lymphoma). The median follow-up for the primary analysis was 17·5 months (IQR 14·1-22·6). Among patients who were eligible for the primary analysis (n=104, of whom 84 had follicular lymphoma and 20 had marginal zone lymphoma), 96 (92%; 95% CI 85-97) had an overall response and 77 (74%) had a complete response. The most common grade 3 or worse adverse events were cytopenias (104 [70%] of 148 patients) and infections (26 [18%]). Grade 3 or worse cytokine release syndrome occurred in ten (7%) patients and grade 3 or 4 neurological events occurred in 28 (19%) patients. Serious adverse events (any grade) occurred in 74 (50%) patients. Deaths due to adverse events occurred in four (3%) patients, one of which was deemed to be treatment-related (multisystem organ failure).Axicabtagene ciloleucel showed high rates of durable responses and had a manageable safety profile in patients with relapsed or refractory indolent non-Hodgkin lymphoma.Kite, a Gilead Company.

OBJECTIVE: The aim of this study was to describe cross-sectional and longitudinal associations between glycated hemoglobin (HbA1c) levels and strategies to control type 2 diabetes with baseline levels and 8-year changes in a deficit accumulation frailty index (FI), a commonly used marker of biological aging. RESEARCH DESIGN AND METHODS: We conducted exploratory analyses from 4,169 participants, ages 45-76, who were followed in the Action for Health in Diabetes (Look AHEAD) randomized controlled clinical trial, pooling data across intervention groups. We related baseline and 8-year levels of HbA1c with FI scores using analyses of variance and covariance. Associations between 8-year changes in FI and the use of diabetes medication classes and weight changes were assessed with control for HbA1c levels. Inverse probability weighting was used to assess bias associated with differential follow-up. RESULTS: Baseline and average HbA1c levels over time of >8%, were associated with less increase in FI scores over 8 years (both p<0.002). After adjustment for HbA1c, use of metformin and weight loss >5% were independently associated with slower increases in frailty. CONCLUSIONS: Lower HbA1c levels among individuals with diabetes are associated with slower biological aging as captured by a deficit accumulation FI. Strategies to control diabetes through weight loss or metformin use may also slow aging.

BACKGROUND Consolidative autologous hematopoietic stem cell transplantation (AHCT) is commonly used for patients with multiple myeloma (MM). We studied AHCT use and outcomes in patients with MM ≥75 years old. METHODS Patients with MM ≥75 years old receiving AHCT between 2013 and 2017 in the United States were identified using the Center for International Blood and Marrow Transplant Research database. Relapse and/or progression (REL), progression-free survival (PFS), and overall survival (OS) were modeled using Cox proportional hazards models. Covariates used were age, sex, Karnofsky performance score (KPS), HCT-comorbidity index (HCT-CI), International Staging System and/or Durie-Salmon stage, high-risk cytogenetics, melphalan dose, and disease status at and 1 year after transplant. AHCT utilization rate using the Surveillance, Epidemiology, and End Results database was used to estimate specific incidence among ≥75 years old by race and gender. RESULTS Of 360 patients, 63% were male, 84% were White, 56% had KPS

Data for outcomes after autologous hematopoietic cell transplantation (auto-HCT) in diffuse large B-cell lymphoma (DLBCL) patients ≥70 years are limited. Auto-HCT is feasible in older DLBCL patients. Using the Center for International Blood and Marrow Transplant Research database, we compared outcomes of auto-HCT in DLBCL patients aged 60 to 69 years (n = 363) versus ≥70 years (n = 103) between 2008 and 2019. Non-relapse mortality (NRM), relapse/progression (REL), progression-free survival (PFS), and overall survival (OS) were modeled using Cox proportional hazards models. All patients received BEAM conditioning (carmustine, etoposide, cytosine arabinoside and melphalan). On univariate analysis, in the 60 to 69 years versus ≥70 years cohorts, 100-day NRM was 3% versus 4%, 5-year REL was 47% versus 45%, 5-year PFS 40% versus 38% and 5-year OS 55% versus 41%, respectively. On multivariate analysis, patients ≥70 had no significant difference in NRM (hazard ratio [HR] 1.43, 95% confidence interval [CI] 0.85-2.39), REL (HR 1.11, 95% CI 0.79-1.56), PFS (HR 1.23, 95% CI 0.92-1.63) compared to patients 60 to 69 years. Patients ≥70 years had a higher mortality (HR 1.39, 95% CI 1.05-1.85, p=0.02), likely because of inferior post-relapse OS in this cohort (HR 1.82, 95% CI 1.27-2.61, P = .001). DLBCL was the major cause of death in both cohorts (62% versus 59%). Older patients should not be denied auto-HCT solely on the basis of chronological age.

The in vivo depletion of recipient and donor T lymphocytes using antithymocyte globulin (ATG; Thymoglobulin) is widely adopted in allogeneic hematopoietic stem cell transplantation (HCT) to reduce the incidence of both graft failure and graft-versus-host disease (GVHD). However, excess toxicity to donor lymphocytes may hamper immune reconstitution, compromising antitumor effects and increasing infection. Granulocyte-colony stimulating factor (G-CSF) administered early after HCT may increase ATG-mediated lymphotoxicity. This study aimed to investigate the effect of an interaction between ATG and post-transplantation granulocyte colony-stimulating factor (G-CSF) on allogeneic HCT outcomes, using the Center for International Blood and Marrow Transplant Research (CIBMTR) registry. We studied patients age ≥18 years with acute myelogenous leukemia (AML) and myelodysplastic syndrome (MDS) who received Thymoglobulin-containing preparative regimens for HLA-matched sibling/unrelated or mismatched unrelated donor HCT between 2010 and 2018. The effect of planned G-CSF that was started between pretransplantation day 3 and post-transplantation day 12 was studied in comparison with transplantations that did not include G-CSF. Cox regression models were built to identify risk factors associated with outcomes at 1 year after transplantation. A total of 874 patients met the study eligibility criteria, of whom 459 (53%) received planned G-CSF. HCT with planned G-CSF was associated with a significantly increased risk for nonrelapse mortality (NRM) (hazard ratio [HR] 2.03; P.0001; 21% versus 12%) compared to HCT without G-CSF. The 6-month incidence of viral infection was higher with G-CSF (56% versus 47%; P = .007), with a particular increase in Epstein-Barr virus infections (19% versus 11%; P = .002). The observed higher NRM with planned G-CSF led to lower overall survival (HR, 1.52; P = .0005; 61% versus 72%). There was no difference in GVHD risk between the treatment groups. We performed 2 subgroup analyses showing that our findings held true in patients age ≥50 years and in centers where G-CSF was used in some, but not all, patients. In allogeneic peripheral blood HCT performed with Thymoglobulin for AML and MDS, G-CSF administered early post-transplantation resulted in a 2-fold increase in NRM and a 10% absolute decrement in survival. The use of planned G-CSF in the early post-transplantation period should be carefully considered on an individual patient basis, weighing any perceived benefits against these risks.

Author(s): Bevins, JE; Sweger, Z; Munshi, N; Goldblum, BL; Brown, JA; Bleuel, DL; Bernstein, LA; Slaybaugh, RN | Abstract: An energy tuning assembly (ETA) was designed to be fielded at the National Ignition Facility (NIF) to modify the characteristic D-T fusion spectrum to include a prompt fission neutron spectral component. The ETA was characterized at the 88-Inch Cyclotron at Lawrence Berkeley National Laboratory to measure the shaped spectrum from an incident deuteron breakup neutron source, test the proposed neutron spectroscopy techniques used to inform the flux measurements at NIF, and validate the ability to predict ETA performance using a Monte Carlo Neutral Particle (MCNP) simulation. Activation foils (i.e., Ni, In, Au, Al) were exposed to a collimated 33-MeV deuteron-breakup beam originating from a tantalum breakup target. The source spectrum absent the ETA was characterized using a set of activation foils and the STAYSL unfolding code. Finally, the ETA-modified spectrum was obtained using activation foil unfolding with a [Formula presented]=1.32. The ETA-modified unfolded spectrum agreed with the MCNP-simulated prediction in the energy range of 0.1–14 MeV, but exhibited disagreements in the 10 eV–100 keV region. This work demonstrates shaping of the NIF neutron spectrum via the ETA to be a viable path forward for tailored neutron beams at NIF.

OBJECTIVE Patients with type 2 diabetes are encouraged to lose weight, but excessive weight loss in older adults may be a marker of poor health and subsequent mortality. We examined weight change during the postintervention period of Look AHEAD, a randomized trial comparing intensive lifestyle intervention (ILI) with diabetes support and education (DSE) (control) in overweight/obese individuals with type 2 diabetes and sought to identify predictors of excessive postintervention weight loss and its association with mortality. RESEARCH DESIGN AND METHODS These secondary analyses compared postintervention weight change (year 8 to final visit; median 16 years) in ILI and DSE in 3,999 Look AHEAD participants. Using empirically derived trajectory categories, we compared four subgroups: weight gainers (n = 307), weight stable (n = 1,561), steady losers (n = 1,731), and steep losers (n = 380), on postintervention mortality, demographic variables, and health status at randomization and year 8. RESULTS Postintervention weight change averaged −3.7 ± 9.5%, with greater weight loss in the DSE than the ILI group. The steep weight loss trajectory subgroup lost on average 17.7 ± 6.6%; 30% of steep losers died during postintervention follow-up versus 10–18% in other trajectories (P < 0001). The following variables distinguished steep losers from weight stable: baseline, older, longer diabetes duration, higher BMI, and greater multimorbidity; intervention, randomization to control group and less weight loss in years 1–8; and year 8, higher prevalence of frailty, multimorbidity, and depressive symptoms and lower use of weight control strategies. CONCLUSIONS Steep weight loss postintervention was associated with increased risk of mortality. Older individuals with longer duration of diabetes and multimorbidity should be monitored for excessive unintentional weight loss.

Autologous (auto-) and allogeneic (allo-) hematopoietic cell transplantation (HCT) are accepted treatment modalities in contemporary treatment algorithms for mantle cell lymphoma (MCL). Chimeric antigen receptor (CAR) T cell therapy recently received approval for MCL; however, its exact place and sequence in relation to HCT remain unclear. The American Society of Transplantation and Cellular Therapy, Center of International Blood and Marrow Transplant Research, and the European Society for Blood and Marrow Transplantation jointly convened an expert panel to formulate consensus recommendations for role, timing, and sequencing of auto-HCT, allo-HCT, and CAR T cell therapy for patients with newly diagnosed and relapsed/refractory (R/R) MCL. The RAND-modified Delphi method was used to generate consensus statements. Seventeen consensus statements were generated, with a few key statements as follows: in the first line setting, auto-HCT consolidation represents standard of care in eligible patients, whereas there is no clear role of allo-HCT or CAR T cell therapy outside of clinical trials. In the R/R setting, the preferential option is CAR T cell therapy, especially in patients with MCL failing or intolerant to at least one Bruton’s tyrosine kinase inhibitor, while allo-HCT is recommended if CAR T cell therapy fails or is infeasible. Several recommendations were based on expert opinion, where the panel developed consensus statements for important real-world clinical scenarios to guide clinical practice. In the absence of contemporary evidence-based data, the panel found RAND-modified Delphi methodology effective in providing a formal framework for developing consensus recommendations for the timing and sequence of cellular therapies for MCL.

Subsequent cancer (SC) is a significant cause of morbidity and mortality in long-term survivors after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Chronic graft-versus-host disease (cGVHD) and treatment-related immunosuppression have been recognized as risk factors for SC. This study sought to investigate the incidence and risk factors for SC in patients with established cGVHD, assessed separately for onset of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC)—categorized into nonmelanoma skin cancer (NMSC)—and all cancers other than NMSC. Two hundred and four patients were enrolled in the prospective cross-sectional cGVHD Natural History Study and underwent comprehensive clinical evaluation. Patients were followed-up with an annual survey. The cumulative incidences of NMSC and cancers other than NMSC with competing risks were estimated separately, and transplantation- and cGVHD-related factors were assessed for association with outcomes using Gray's test and multivariable Cox models. The time period for all analyses began at 2 years postevaluation to restrict analyses to patients presumed to not have had SC present at evaluation. Nineteen patients were diagnosed with NMSC and 19 were diagnosed with cancers other than NMSC, with 10-year cumulative incidences of 15.5% (95% confidence interval, 9.0% to 27.6%) and 13.8% (95% CI, 8.2% to 20.8%), respectively. Age at transplantation (hazard ratio [HR], 1.94; 95% CI, 1.23 to 3.06) and higher C-reactive protein level at evaluation (HR, 9.49; 95% CI, 1.26 to 71.58) were jointly associated with NMSC, and gastrointestinal cGVHD at evaluation (HR, 0.26; 95% CI, 0.09 to 0.78) was associated with reduced risk of NMSC. T cell depletion at transplantation (HR, 3.09; 95% CI, 1.17 to 8.20), lymphoma as an indication for transplantation (HR, 3.96; 95% CI, 1.56 to 10.05), and oral cGVHD severity at evaluation (HR, 4.36; 95% CI, 1.52 to 12.46) were jointly associated with cancers other than NMSC. This study estimates the incidence of SC in a population of allo-HSCT recipients with severe cGVHD and identifies correlations with the subsequent development of SC. These factors seem to differ between NMSC and cancers other than NMSC. Further longitudinal investigations accounting for dynamic and cumulative processes are needed to improve our understanding and management of SC.

IMPORTANCE: Primary central nervous system lymphoma (PCNSL) requires induction and consolidation to achieve potential cure. High-dose therapy and autologous hematopoietic cell transplant (AHCT) is an accepted and effective consolidation strategy for PCNSL, but no consensus exists on the optimal conditioning regimens. OBJECTIVE: To assess the outcomes in patients with PCNSL undergoing AHCT with the 3 most commonly used conditioning regimens: thiotepa/busulfan/cyclophosphamide (TBC), thiotepa/carmustine (TT-BCNU), and carmustine/etoposide/cytarabine/melphalan (BEAM). DESIGN, SETTING, AND PARTICIPANTS: This observational cohort study used registry data from the Center for International Blood and Marrow Transplant Research registry. The Center is a working group of more than 380 transplantation centers worldwide that contributed detailed data on HCT to a statistical center at the Medical College of Wisconsin, Milwaukee. The participant data were from 603 adult patients with PCNSL who underwent AHCT as initial, or subsequent, consolidation between January 2010 and December 2018. Patients were excluded if they had a non-Hodgkin lymphoma subtype other than diffuse large B-cell lymphoma, systemic non-Hodgkin lymphoma, or HIV; received an uncommon conditioning regimen; or were not in partial remission or complete remission prior to AHCT. Statistical analysis was performed from July 5, 2020, to March 1, 2021. INTERVENTIONS: Patients received 1 of 3 conditioning regimens: TBC (n = 263), TT-BCNU (n = 275), and BEAM (n = 65). MAIN OUTCOMES AND MEASURES: The primary outcome was progression-free survival. Secondary outcomes included hematopoietic recovery, incidence of relapse, nonrelapse mortality, and overall survival. RESULTS: Of 603 patients, the mean age was 57 (range, 19-77) years and 318 (53%) were male. The 3-year adjusted progression-free survival rates were higher in the TBC cohort (75%) and TT-BCNU cohort (76%) compared with the BEAM cohort (58%) (P = .03) owing to a higher relapse risk in the BEAM cohort (hazard ratio [HR], 4.34; 95% CI, 2.45-7.70; P

Allogeneic hematopoietic cell transplantation (allo-HCT) is a curative therapy for relapsed/refractory and high-risk non-Hodgkin lymphoma (NHL). However, no large studies have evaluated allo-HCT utilization in elderly NHL patients (≥65 years). Using the CIBMTR registry, we report a time-trend analysis of 727 NHL patients (≥65 years) undergoing the first allo-HCT from 2000 to 2015 in the United States (US). Study cohorts were divided by time period: 2000-2005 (N = 76) vs. 2006-2010 (N = 238) vs. 2011-2015 (N = 413). Primary outcome was overall survival (OS). Secondary outcomes included progression-free survival (PFS), relapse/progression (R/P), and non-relapse mortality (NRM). Median age at transplant, use of reduced-intensity conditioning, and graft source remained stable, while use of unrelated donors increased in the most current era. The 1-year probabilities of NRM from 2000 to 2005 vs. 2006-2010 vs. 2011-2015 were 24% vs. 19% vs. 21%, respectively (p = 0.67). Four-year probability of R/P was similar among the three cohorts: 48% (2000-2005), 40% (2006-2010), and 40% (2011-2015) (p = 0.39). The 4-year probabilities of PFS and OS (2000-2005 vs. 2006-2010 vs. 2011-2015) showed significantly improved outcomes in more recent time periods: 17% vs. 31% vs. 30% (p = 0.02) and 21% vs. 42% vs. 44% (p 0.001), respectively. Utilization of allo-HCT increased in elderly NHL patients in the US since 2000 with improving survival outcomes.

BACKGROUND The atrioventricular conduction system (AVCS) is a network of specialized cardiomyocytes responsible for coordinated spreading of electrical impulses throughout the ventricles to allow synchronized contractions. Specifically, it is composed of the AV node (AVN), which delays the electrical signal, and the ventricular conduction system (VCS) (i.e. His bundle, bundle branches and Purkinje fibers), which rapidly propagates the signal throughout the ventricles. Different AVCS regions possess different electrophysiological properties, such as conduction velocity. Overlapping and nonoverlapping expression patterns of some key developmental transcription factors (TFs), including Irx3, Tbx3, Etv1 and Nkx2.5 within the AVCS, suggest heterogeneous gene expression profiles. Although these structures of the AVCS were discovered >100 years ago, our understanding about its molecular constituents remains largely limited. METHODS AND RESULTS AVCS cells, which make up ∼0.05% of myocytes (∼500 cells/1 million cardiomyocytes), were isolated from early postnatal hearts (P1 to P4) of fluorescent reporter mice (Cntn2-Cre;Rosa26TdTomato), purified using fluorescence-activated cell sorting, and were subjected to single-cell RNA-sequencing. Unbiased cluster analysis on ∼7000 AVCS cells demonstrated distinct transcriptomic profiles in the AVN, proximal-VCS (i.e. His bundle and bundle branches) and distal-VCS (i.e. Purkinje fibers). Conforming to previous studies, well-known conduction markers, such as Etv1 and Kcne1, were present throughout the entire AVCS, whereas a VCS-specific TF, Irx3, was expressed throughout only the VCS. Additionally, Tbx3, Pcp4, Nppa and Lyz2 were enriched in the proximal, not distal, VCS. Sub-clustering analysis of AVN and proximal-VCS further identified unique expression patterns of molecular markers, such as Shox2 (exclusively in compact AVN) and Rspo3 (likely in lower nodal region connecting AVN and proximal-VCS). Moreover, we uncovered a potential regulatory relationship between Irx3 and Tbx3 in mediating their downstream targets, gap junction Gja5 (Cx40) and Gja1 (Cx43). In Irx3- and Tbx3-positive proximal-VCS, Gja5 and Gja1 expressions were lower compared to Irx3-positive/Tbx3-negative distal-VCS. In only Irx3-negative/Tbx3-positive AVN, both Gja5 and Gja1 expressions were undetected. Importantly, this regulatory relationship was recapitulated in cultured neonatal mouse atrial and ventricular myocytes overexpressing Irx3 and/or Tbx3. We also identified a cluster of cells which co-expressed conductive genes (i.e. Irx3, Kcne1, Gja5, Etv1) as well as G2/M cell cycle genes (i.e. Birc5, Ube2c, Cdk1, Ccnb1/2), suggesting the presence of committed conduction cells undergoing proliferation after birth. CONCLUSION Our study provides a comprehensive view of the cellular and molecular heterogeneity within the postnatal AVCS at a high-resolution and identifies potential novel markers with unique and overlapping transcriptomic patterns.

Autologous (auto-) or allogeneic (allo-) hematopoietic cell transplantation (HCT) are accepted treatment modalities for mantle cell lymphoma (MCL). Recently, chimeric antigen receptor (CAR) T-cell therapy received approval for MCL; however, its exact place and sequence in relation to HCT is unclear. The ASTCT, CIBMTR, and the EBMT, jointly convened an expert panel to formulate consensus recommendations for role, timing, and sequencing of auto-, allo-HCT, and CAR T-cell therapy for patients with newly diagnosed and relapsed/refractory (R/R) MCL. The RAND-modified Delphi method was used to generate consensus statements. Seventeen consensus statements were generated; in the first-line setting auto-HCT consolidation represents standard-of-care in eligible patients, whereas there is no clear role of allo-HCT or CAR T-cell therapy, outside of a clinical trial. In the R/R setting, the preferential option is CAR T-cell therapy especially in MCL failing or intolerant to at least one Bruton’s tyrosine kinase inhibitor, while allo-HCT is recommended if CAR T-cell therapy has failed or is not feasible. In the absence of contemporary evidence-based data, the panel found RAND-modified Delphi methodology effective in providing a formal framework for developing consensus recommendations for the timing and sequence of cellular therapies for MCL.

Objective: Both SGLT2 inhibitors (SGLT2i) and GLP-1 receptor agonists (GLP-1RA) demonstrated cardiovascular benefits in RCTs of patients with type 2 diabetes (T2D) generally Methods: Using Medicare data (4/2013-12/2016), we identified 90,094 1:1 propensity score-matched T2D patients ≥66 years initiating SGLT2i or GLP-1RA. Primary outcomes were major adverse cardiovascular events (MACE, i.e., myocardial infarction, stroke or cardiovascular death) and hospitalization for heart failure (HHF). Other outcomes included diabetic ketoacidosis (DKA), genital infections (GI), fractures, lower-limb amputations (LLA), acute kidney injury (AKI), severe urinary tract infections (UTI), and overall mortality. We estimated hazard ratios (HR) and rate differences (RD) per 1000 person-years, controlling for 140 baseline covariates. Results: Compared with GLP-1RA, SGLT2i initiators had similar MACE risk [HR (95% CI)=0.98 (0.87-1.10); RD (95% CI)= -0.38 (-2.48,1.72)] and reduced HHF risk [HR=0.68 (0.57-0.80)]; RD= -3.23 (-4.68,-1.77)], over a median follow up of approximately 6 months. They also had 0.7 [RD=0.72 (0.02, 1.41)] more DKA, 0.9 [RD=0.90 (0.10, 1.70)] more LLA, 57.1 [RD=57.08 (53.45, 60.70)] more GI, and 7.1 [RD=-7.05 (-10.27, -3.83)] fewer AKI events. Conclusions: Among older adults, SGLT2i had similar MACE risk, decreased HHF risk, and increased risk of DKA, LLA, and GI, vs. GLP-1RA.

Autologous hematopoietic stem cell transplantation (ASCT) is a standard-of-care treatment for many hematologic malignancies. Progression of disease after ASCT is the primary cause of treatment failure. In this Phase Ib trial, we studied the safety and clinical effect of combined checkpoint inhibition therapy (CPIT) with ipilimumab and nivolumab as a consolidation strategy after ASCT for patients with high-risk diffuse large B cell lymphoma (DLBCL), mature T cell lymphoma (TCL), and multiple myeloma (MM). Starting at 14 to 28 days after ASCT, patients received ipilimumab (1 mg/kg i.v. on day 1 of weeks 1, 4, 7, 10, 16, and 22) and nivolumab (3 mg/kg i.v. on day 1 of weeks 1, 4, 7, 10, 12, 14, 16, 18, 20, 22, 24, and 26). Patients received a median of 5 doses of ipilimumab and 8 doses of nivolumab. Thirty-five patients were included in the intent-to-treat population. Ninety-four percent of the patients experienced immune-related adverse events (irAEs) of any grade. Ninety-seven percent of irAEs resolved spontaneously or after holding study drugs and instituting high-dose corticosteroid therapy. Progression-free and overall survival at 18 months post-ASCT for each disease cohort were 85.7% and 100% for primary refractory DLBCL, 28.6% and 57.1% for relapsed DLBCL, not evaluable and 80% for frontline TCL, 25% and 75% for relapsed TCL, 57.1% and 87% for high-risk transplant-naive MM, and 40% and 100% for MM relapsed within 3 years of first ASCT. We conclude that combined CPIT appears to be tolerable as a consolidation strategy after ASCT and in addition to the potential clinical efficacy observed in some subsets of disease, T cell receptor repertoire, T regulatory cell phenotype, and gut microbiota profiles provide a biologic rationale warranting further study of this approach.

BACKGROUND Upfront autologous hematopoietic stem cell transplantation (AHCT) remains an important therapy in the management of patients with multiple myeloma (MM), a disease of older adults. METHODS The authors investigated the outcomes of AHCT in patients with MM who were aged ≥70 years. The Center for International Blood and Marrow Transplant Research (CIBMTR) database registered 15,999 patients with MM in the United States within 12 months of diagnosis during 2013 through 2017; a total of 2092 patients were aged ≥70 years. Nonrecurrence mortality (NRM), disease recurrence and/or progression (relapse; REL), progression-free survival (PFS), and overall survival (OS) were modeled using Cox proportional hazards models with age at transplantation as the main effect. Because of the large sample size, a P value

T cell prolymphocytic leukemia (T-PLL) is a rare, aggressive malignancy with limited treatment options and poor long-term survival. Previous studies of allogeneic hematopoietic cell transplantation (alloHCT) for T-PLL are limited by small numbers, and descriptions of patient and transplantation characteristics and outcomes after alloHCT are sparse. In this study, we evaluated outcomes of alloHCT in patients with T-PLL and attempted to identify predictors of post-transplantation relapse and survival. We conducted an analysis of data using the Center for International Blood and Marrow Transplant Research database on 266 patients with T-PLL who underwent alloHCT between 2008 and 2018. The 4-year rates of overall survival (OS), disease-free survival (DFS), relapse, and treatment-related mortality (TRM) were 30.0% (95% confidence interval [CI], 23.8% to 36.5%), 25.7% (95% CI, 20% to 32%), 41.9% (95% CI, 35.5% to 48.4%), and 32.4% (95% CI, 26.4% to 38.6%), respectively. In multivariable analyses, 3 variables were associated with inferior OS: receipt of a myeloablative conditioning (MAC) regimen (hazard ratio [HR], 2.18; P < .0001), age >60 years (HR, 1.61; P = .0053), and suboptimal performance status, defined by Karnofsky Performance Status (KPS) 90 or chemosensitive disease.

Background: Axi-cel is an autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy approved for the treatment of R/R large B-cell lymphoma and follicular lymphoma (FL), both after ≥2 lines of systemic therapy. ZUMA-5 is a Phase 2, multicenter, single-arm study evaluating axi-cel in patients with R/R iNHL (including FL and marginal zone lymphoma [MZL]). In the primary analysis of ZUMA-5 (N=104; 17.5 months median follow-up), the overall response rate (ORR) was 92% (76% complete response [CR] rate), and median peak CAR T-cell levels were numerically greater in patients with FL who were in ongoing response at data cutoff than in those who relapsed (Jacobson et al. ASH 2020. Abstract 700). Here, we report updated clinical and pharmacologic outcomes from ZUMA-5. Methods: Adult patients with R/R FL or MZL after ≥2 lines of therapy (including an anti-CD20 mAb plus an alkylating agent) underwent leukapheresis and conditioning chemotherapy followed by a single axi-cel infusion at 2×10 6 CAR T cells/kg. The primary endpoint was centrally assessed ORR per Lugano classification. The updated efficacy analysis occurred when ≥80 consecutively treated patients with FL had ≥2 years of follow-up post-infusion and included patients with MZL who had ≥4 weeks of follow-up post-infusion. Results: As of March 31, 2021, 149 patients with iNHL (124 FL; 25 MZL) were treated with axi-cel. Of those, 110 patients (86 FL; 24 MZL) were eligible for efficacy analyses. Among eligible patients with FL, median follow-up was 30.9 months (range, 24.7-44.3). Centrally assessed ORR was 94% in patients with FL (79% CR rate). At data cutoff, 57% of eligible patients with FL had ongoing responses; 68% of patients who achieved a CR had ongoing responses. The estimated duration of response (DOR) and progression-free survival (PFS) medians were 38.6 months and 39.6 months in patients with FL, respectively. Among patients with FL who progressed Among eligible patients with MZL, median follow-up was 23.8 months (range, 7.4-39.4). The ORR was 83% in patients with MZL (63% CR rate), with 50% of eligible patients in ongoing response and 73% of patients with a CR in ongoing response at data cutoff. Medians for DOR and TTNT were not reached in patients with MZL; 24-month rates were not estimable and 51%, respectively. Median PFS was 17.3 months in patients with MZL and median OS was not reached (70% OS rate at 24 months). Common Grade ≥3 AEs in all treated patients with iNHL were consistent with prior reporting: neutropenia (33%), decreased neutrophil count (28%), and anemia (25%). Grade ≥3 cytopenias present ≥30 days post-infusion were reported in 34% of patients with iNHL (33% FL; 36% MZL). Consistent with previous reports, Grade ≥3 cytokine release syndrome (CRS) and neurologic events (NEs) occurred in 7% of patients (6% FL; 8% MZL) and 19% of patients (15% FL; 36% MZL), respectively. Most CRS cases (120/121) and NEs (82/87) of any grade resolved by data cutoff. Among patients with FL who had evaluable samples, 76% (65/86) had detectable CAR gene-marked cells at low levels by 12 months post-infusion; 53% (23/43) had detectable cells 24 months post-infusion. Among evaluable patients with MZL, 67% (8/12) had detectable CAR gene-marked cells 12 months post-infusion; 60% (3/5) had detectable cells 24 months post-infusion. B-cell reconstitution was detectable in 59% of evaluable patients with FL (49/83) and 42% of those with MZL (5/12) by 12 months post-infusion. By 24 months, B cells were detectable in 61% of evaluable patients with FL (25/41) and 50% of those with MZL (2/4). Conclusions: With long-term follow-up in ZUMA-5, axi-cel demonstrated substantial and continued benefit in patients with iNHL. In FL, high response rates translated to durability, with a median DOR of 38.6 months and 57% of eligible patients in ongoing response at data cutoff. In MZL, efficacy outcomes appeared to improve with longer follow-up, with the median DOR and OS not yet reached. Axi-cel maintained a manageable safety profile, with no new safety signals . Disclosures Neelapu: Kite, a Gilead Company, Merck, Bristol Myers Squibb, Novartis, Celgene, Pfizer, Allogene Therapeutics, Cell Medica/Kuur, Incyte, Precision Biosciences, Legend Biotech, Adicet Bio, Calibr, Unum Therapeutics and Bluebird Bio: Honoraria; Takeda Pharmaceuticals and related to cell therapy: Patents & Royalties; Kite, a Gilead Company, Bristol Myers Squibb, Merck, Poseida, Cellectis, Celgene, Karus Therapeutics, Unum Therapeutics (Cogent Biosciences), Allogene, Precision BioSciences, Acerta and Adicet Bio: Research Funding; Kite, a Gilead Company, Merck, Bristol Myers Squibb, Novartis, Celgene, Pfizer, Allogene, Kuur, Incyte, Precision BioSciences, Legend, Adicet Bio, Calibr, and Unum Therapeutics: Other: personal fees. Chavez: Merk: Research Funding; MorphoSys, Bayer, Karyopharm, Kite, a Gilead Company, Novartis, Janssen, AbbVie, TeneoBio, and Pfizer: Consultancy; MorphoSys, AstraZeneca, BeiGene, Genentech, Kite, a Gilead Company, and Epizyme: Speakers Bureau; AstraZeneca: Research Funding; ADC Therapeutics: Consultancy, Research Funding; BMS: Speakers Bureau. Sehgal: Juno/Celgene: Research Funding; Kite/Gilead: Research Funding. Epperla: Genzyme: Honoraria; Karyopharm: Other: Ad Board; Beigene: Speakers Bureau; Verastem: Speakers Bureau. Bachy: Kite, a Gilead Company: Honoraria; Novartis: Honoraria; Daiishi: Research Funding; Roche: Consultancy; Takeda: Consultancy; Incyte: Consultancy. Munshi: Kite, a Gilead Company, and Incyte: Honoraria; Kite, a Gilead Company, and Incyte: Speakers Bureau. Casulo: Genentech: Research Funding; BMS: Research Funding; Verastem: Research Funding; Gilead: Research Funding. Maloney: Kite, a Gilead Company, Juno, and Celgene: Research Funding; A2 Biotherapeutics: Consultancy; BioLineRx, Juno, Celgene, Kite, a Gilead Company, Gilead, Novartis, and Pharmacyclics: Honoraria; A2 Biotherapeutics: Divested equity in a private or publicly-traded company in the past 24 months; Juno: Patents & Royalties. Reshef: Bayer: Consultancy; BMS, Regeneron, TScan, Synthekine, Atara, Jasper, Bayer: Consultancy; ilead, BMS, Precision, Immatics, Atara, Takeda, Shire, Pharmacyclics, Incyte: Research Funding; Gilead and Novartis: Honoraria. Leslie: Pharmacyclics: Consultancy, Honoraria, Speakers Bureau; Merck: Consultancy; Abbvie: Consultancy, Honoraria; Kite, a Gilead Company: Consultancy, Honoraria, Speakers Bureau; Epizyme: Consultancy, Honoraria, Speakers Bureau; Celgene/BMS: Consultancy, Honoraria, Speakers Bureau; BeiGene: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Speakers Bureau; Karyopharm Therapeutics: Honoraria, Speakers Bureau; PCYC/Janssen: Consultancy, Honoraria, Speakers Bureau; AstraZeneca: Consultancy, Honoraria, Speakers Bureau; TG Therapeutics: Consultancy, Honoraria, Speakers Bureau; Seagen: Consultancy, Honoraria, Speakers Bureau; ADC Therapeutics: Consultancy. Oluwole: Pfizer: Consultancy; Curio Science: Consultancy; Kite, a Gilead Company: Consultancy, Research Funding; Janssen: Consultancy. Yakoub-Agha: Jazz Pharmaceuticals: Honoraria. Rosenblatt: Synergys: Patents & Royalties; BioGraph 55: Research Funding. Sherman: Kite, a Gilead Company: Current Employment; Gilead: Current equity holder in publicly-traded company. Dong: Kite, a Gilead Company: Current Employment; Gilead: Current equity holder in publicly-traded company; GliaCure/Tufts: Consultancy, Patents & Royalties. Giovanetti: Kite, a Gilead Company: Current Employment, Current equity holder in publicly-traded company. Yang: Kite, a Gilead Company: Current Employment. Lui: Gilead Sciences: Other: stock or other ownership; Kite, a Gilead Company: Current Employment, Other: travel support. Bashir: Kite, a Gilead Company: Ended employment in the past 24 months; OmniacPharmConsult Ltd: Other: stock or other ownership. Jung: Amgen, Kura, Gilead, and Turning Point: Current equity holder in publicly-traded company; Kite, a Gilead Company: Current Employment. Jacobson: Lonza: Consultancy, Honoraria, Other: Travel support; Kite, a Gilead Company: Consultancy, Honoraria, Other: Travel support; AbbVie: Consultancy, Honoraria; Nkarta: Consultancy, Honoraria; Novartis Pharmaceuticals Corporation: Consultancy, Honoraria, Other: Travel support; Pfizer: Consultancy, Honoraria, Other: Travel support, Research Funding; Precision Biosciences: Consultancy, Honoraria, Other: Travel support; Celgene: Consultancy, Honoraria, Other: Travel support; Humanigen: Consultancy, Honoraria, Other: Travel support; Axis: Speakers Bureau; Clinical Care Options: Speakers Bureau.

Purpose T-cell–replete HLA-haploidentical donor hematopoietic transplantation using post-transplant cyclophosphamide was originally described using bone marrow (BM). With increasing use of mobilized peripheral blood (PB), we compared transplant outcomes after PB and BM transplants. Patients and Methods A total of 681 patients with hematologic malignancy who underwent transplantation in the United States between 2009 and 2014 received BM (n = 481) or PB (n = 190) grafts. Cox regression models were built to examine differences in transplant outcomes by graft type, adjusting for patient, disease, and transplant characteristics. Results Hematopoietic recovery was similar after transplantation of BM and PB (28-day neutrophil recovery, 88% v 93%, P = .07; 100-day platelet recovery, 88% v 85%, P = .33). Risks of grade 2 to 4 acute (hazard ratio [HR], 0.45; P < .001) and chronic (HR, 0.35; P < .001) graft-versus-host disease were lower with transplantation of BM compared with PB. There were no significant differences in overall survival by graft type (HR, 0.99; P = .98), with rates of 54% and 57% at 2 years after transplantation of BM and PB, respectively. There were no differences in nonrelapse mortality risks (HR, 0.92; P = .74) but relapse risks were higher after transplantation of BM (HR, 1.49; P = .009). Additional exploration confirmed that the higher relapse risks after transplantation of BM were limited to patients with leukemia (HR, 1.73; P = .002) and not lymphoma (HR, 0.87; P = .64). Conclusion PB and BM grafts are suitable for haploidentical transplantation with the post-transplant cyclophosphamide approach but with differing patterns of treatment failure. Although, to our knowledge, this is the most comprehensive comparison, these findings must be validated in a randomized prospective comparison with adequate follow-up.

Background: Patients with advanced-stage iNHL, including follicular lymphoma (FL) and marginal zone lymphoma (MZL), frequently relapse with standard treatment, underscoring a need for novel therapies. Axi-cel autologous anti-CD19 chimeric antigen receptor (CAR) T cell therapy is approved for the treatment of R/R large B cell lymphoma after ≥ 2 lines of systemic therapy. Here, we present the primary analysis of ZUMA-5, a Phase 2, multicenter, single-arm study of axi-cel in patients with R/R iNHL. Methods: Adults with FL (Grades 1-3a) or MZL (nodal or extranodal) had R/R disease after ≥ 2 lines of therapy (must include an anti-CD20 mAb plus an alkylating agent), and ECOG 0 - 1. Patients underwent leukapheresis followed by conditioning therapy (cyclophosphamide/fludarabine) and a single infusion of axi-cel at 2 × 106 CAR T cells/kg. The primary endpoint was objective response rate (ORR) by central review (per Lugano classification; Cheson, et al. J Clin Oncol. 2014). Secondary endpoints included complete response (CR) rate, duration of response (DOR), progression-free survival (PFS), overall survival (OS), incidence of adverse events (AEs), and levels of CAR T cells in blood and cytokines in serum. The primary efficacy analysis occurred when ≥ 80 treated patients with FL had ≥ 12-months follow-up. Results: As of 3/12/2020, 146 patients with iNHL (124 FL; 22 MZL) received axi-cel; 84 patients with FL had ≥ 12-months follow-up. The median age was 61 years (range, 34 - 79); 57% of patients were male. Thirty-eight percent of patients had ECOG 1, 86% had stage III/IV disease, 47% had ≥ 3 FLIPI, and 49% had high tumor bulk (GELF). Patients had a median 3 prior lines of therapy (range, 1 - 10); 64% had ≥ 3 prior lines. Progression < 2 years after initial chemoimmunotherapy (POD24) occurred in 55% of patients, and 68% were refractory to last prior treatment. Axi-cel was successfully manufactured for all enrolled patients. With a median follow-up of 17.5 months (range, 1.4 - 31.6), the ORR was 92% among efficacy-evaluable patients with iNHL (n = 104), with a 76% CR rate. In patients with FL (n = 84), the ORR was 94% (80% CR rate); in those with MZL (n = 20), the ORR was 85% (60% CR rate). ORR was comparable across key risk groups analyzed by FLIPI, POD24, GELF, refractory status, and prior lines of therapy. As of the data cutoff, 62% of all treated patients had ongoing responses (64% for FL). The medians for DOR, PFS, and OS were not reached; 12-month estimated rates were 72% (95% CI, 61 - 80), 74% (95% CI, 63 - 82), and 93% (95% CI, 86 - 97), respectively. AEs of any grade occurred in 99% of all treated patients. Grade ≥ 3 AEs occurred in 86% of patients with iNHL (85% in FL; 95% in MZL), most commonly neutropenia (33%), decreased neutrophil count (27%), and anemia (23%). Grade ≥ 3 cytokine release syndrome (CRS; per Lee, et al, Blood. 2014) occurred in 7% of patients with iNHL (6% in FL; 9% in MZL). Grade ≥ 3 neurologic events (NEs; per CTCAE v4.03) occurred in 19% of patients with iNHL (15% in FL; 41% in MZL). Most CRS (118/119) and NEs (81/87) of any grade resolved by data cutoff. Grade 5 AEs occurred in 3 patients: multisystem organ failure in the context of CRS (Day 7; related to axi-cel; n = 1 FL), aortic dissection (Day 399; unrelated to axi-cel; n = 1 FL), and coccidioidomycosis infection (Day 327; unrelated to axi-cel; n = 1 MZL). The median peak CAR T cell level was 38 cells/µL (range, 0 - 1415) in all treated patients with iNHL, with 36 cells/µL (range, 0 - 1415) in those with FL and 53 cells/µL (range, 2 - 453) in those with MZL. The AUC0 - 28 was 448 cells/µL × days (range, 6 - 19,900) in all treated patients with iNHL, with 422 cells/µL × days (range, 6 - 19,900) and 552 cells/µL × days (range, 13 - 6468) in those with FL and MZL, respectively. The median time to peak was 9 days (range, 8 - 371) in all patients, 8 days (range, 8 - 371) in patients with FL, and 15 days (range, 8 - 29) in patients with MZL. In efficacy-evaluable patients with FL, median peak CAR T cell levels were numerically greater in those with ongoing response at 12 months than in those who relapsed (P = .057). In all treated patients with FL, CAR T cell peak was associated with Grade ≥ 3 CRS (P = .031) and NEs (P = .005). Conclusions: Axi-cel had considerable and durable clinical benefit in patients with iNHL, with high ORR and CR rates. Axi-cel had a manageable safety profile, with lower rates of Grade ≥ 3 NEs observed in patients with FL vs those in patients with MZL and those previously reported in aggressive NHL (Locke, et al. Lancet Oncol. 2019). Disclosures Chavez: Genentech: Speakers Bureau; Epizyme: Speakers Bureau; Gilead: Consultancy; Verastem: Consultancy; Novartis: Consultancy; Kite, a Gilead Company: Consultancy, Speakers Bureau; Pfizer: Consultancy; Celgene: Consultancy; AstraZeneca: Speakers Bureau; Morphosys: Consultancy, Speakers Bureau; Merck: Research Funding; Bayer: Consultancy; BeiGene: Speakers Bureau; Karyopharm: Consultancy; AbbVie: Consultancy. Sehgal:Juno Therapeutics: Research Funding; TP Therapeutics: Research Funding; Prothena: Research Funding; Gilead Sciences: Research Funding; Bristol-Myers Squibb: Research Funding; Merck: Research Funding. William:Celgene: Consultancy, Honoraria; Incyte: Research Funding; Seattle Genetics: Research Funding; Merck: Research Funding; Dova: Research Funding; Guidepoint Global: Consultancy; Kyowa Kirin: Consultancy, Honoraria. Munoz:Incyte: Research Funding; Fosunkite: Consultancy; Innovent: Consultancy; Acrotech/Aurobindo: Speakers Bureau; Verastem: Speakers Bureau; AstraZeneca: Speakers Bureau; Genentech/Roche: Research Funding, Speakers Bureau; AbbVie: Consultancy, Speakers Bureau; Kyowa: Consultancy, Honoraria, Speakers Bureau; Seattle Genetics: Consultancy, Honoraria, Research Funding, Speakers Bureau; Pharmacyclics: Consultancy, Research Funding, Speakers Bureau; Bayer: Consultancy, Research Funding, Speakers Bureau; Kite, a Gilead Company: Consultancy, Research Funding, Speakers Bureau; Pfizer: Consultancy; Janssen: Consultancy, Research Funding, Speakers Bureau; Juno/Celgene/BMS: Consultancy, Research Funding, Speakers Bureau; Alexion: Consultancy; Beigene: Consultancy, Speakers Bureau; Merck: Research Funding; Portola: Research Funding; Millenium: Research Funding. Salles:BMS/Celgene: Honoraria, Other: consultancy or advisory role; Kite, a Gilead Company: Honoraria, Other: consultancy or advisory role ; Epizyme: Honoraria, Other: consultancy or advisory role; Janssen: Honoraria, Other: consultancy or advisory role; MorphoSys: Honoraria, Other: consultancy or advisory role; Novartis: Honoraria, Other: consultancy or advisory role; Roche: Honoraria, Other: consultancy or advisory role; Abbvie: Other: consultancy or advisory role; Autolos: Other: consultancy or advisory role; Debiopharm: Consultancy, Honoraria, Other: consultancy or advisory role; Genmab: Honoraria, Other; Karyopharm: Honoraria; Takeda: Honoraria. Munshi:Kite, a Gilead Company: Honoraria, Speakers Bureau; Incyte: Honoraria, Speakers Bureau. Maloney:Celgene: Consultancy, Honoraria, Research Funding; Bioline Rx: Consultancy, Honoraria; Juno Therapeutics: Consultancy, Honoraria, Patents & Royalties, Research Funding; Gilead Science: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; A2 Biotherapeutics: Consultancy, Current equity holder in publicly-traded company, Honoraria; Genentech: Consultancy, Honoraria. de Vos:Bayer: Consultancy; Verastem: Consultancy. Reshef:Kiadis: Research Funding; Monsanto: Consultancy; Novartis: Honoraria; Magenta: Consultancy; Atara: Consultancy, Research Funding; Celgene: Consultancy; Bristol-Myers Squibb: Research Funding; Takeda: Research Funding; Incyte: Research Funding; Pharmacyclics: Research Funding; Immatics: Research Funding; Shire: Research Funding; Bluebird: Research Funding; Gilead: Consultancy, Honoraria, Other: Travel support, Research Funding. Leslie:Epizyme: Honoraria, Speakers Bureau; Karyopharm: Honoraria, Speakers Bureau; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; ADC therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Speakers Bureau; BMS: Speakers Bureau; KitePharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BeiGene: Honoraria, Speakers Bureau; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Yakoub-Agha:Celgene: Honoraria; Novartis: Honoraria; Gilead/Kite: Honoraria, Other: travel support; Janssen: Honoraria; Jazz Pharmaceuticals: Honoraria. Oluwole:Bayer: Consultancy; Spectrum Pharmaceuticals: Consultancy; Pfizer: Consultancy; Kite, a Gilead Company: Consultancy, Honoraria, Research Funding. Fung:AstraZeneca: Honoraria, Other: speakers' bureau, travel support; Genentech: Honoraria, Other: speakers' bureau, travel support; AbbVie: Honoraria, Other: speakers' bureau, travel support; Kite, a Gilead Company: Honoraria, Other: speakers' bureau, travel support; Sanotif: Honoraria, Other: speakers' bureau, travel support; Takeda: Honoraria, Other: speakers' bureau, travel support; Janssen Oncology: Honoraria, Other: speakers' bureau, travel support. Rosenblatt:Merck: Other: consultancy or advisory role ; Biograph55: Other: consultancy or advisory role, Research Funding; Synergy: Patents & Royalties; University of Miami: Other: Leadership. Rossi:Kite, a Gilead Company: Current Employment; Gilead Sciences: Current equity holder in publicly-traded company. Goyal:Kite, a Gilead Company: Current Employment. Plaks:Kite, a Gilead Company: Current Employment, Other: travel support; Gilead Sciences: Other: stock or other ownership . Yang:Kite, a Gilead Company: Current Employment. Lee:Kite, a Gilead Company: Current Employment; Gilead Sciences: Current equity holder in publicly-traded company. Godfrey:IGM Biosciences: Current Employment, Current equity holder in publicly-traded company. Vezan:Kite, a Gilead Company: Current Employment, Honoraria, Other: Travel support; Abbvie: Current equity holder in publicly-traded company; Merck: Current equity holder in publicly-traded company. Avanzi:Kite, a Gilead Company: Current Employment, Other: travel support; Gilead Sciences: Other: stock or other ownership ; MSKCC: Patents & Royalties. Neelapu:N/A: Other; Calibr: Other; Poseida: Research Funding; Cellectis: Research Funding; Merck: Other: personal fees, Research Funding; Kite, a Gilead Company: Other: personal fees, Research Funding; Adicet Bio: Other; Legend Biotech: Other; Precision Biosciences: Other: personal fees, Research Funding; Incyte: Other: personal fees; Cell Medica/Kuur: Other: personal fees; Allogene Therapeutics: Other: personal fees, Research Funding; Pfizer: Other: personal fees; Celgene: Other: personal fees, Research Funding; Novartis: Other: personal fees; Bristol-Myers Squibb: Other: personal fees, Research Funding; Unum Therapeutics: Other, Research Funding; Karus Therapeutics: Research Funding; Acerta: Research Funding; Takeda Pharmaceuticals: Patents & Royalties.

Compact neutron imagers using double-scatter kinematic reconstruction are being designed for localization and characterization of special nuclear material. These neutron imaging systems rely on scintillators with a rapid prompt temporal response as the detection medium. As n-p elastic scattering is the primary mechanism for light generation by fast neutron interactions in organic scintillators, proton light yield data are needed for accurate assessment of scintillator performance. The proton light yield of a series of commercial fast plastic organic scintillators---EJ-200, EJ-204, and EJ-208---was measured via a double time-of-flight technique at the 88-Inch Cyclotron at Lawrence Berkeley National Laboratory. Using a tunable deuteron breakup neutron source, target scintillators housed in a dual photomultiplier tube configuration, and an array of pulse-shape-discriminating observation scintillators, the fast plastic scintillator light yield was measured over a broad and continuous energy range down to proton recoil energies of approximately 50 keV. This work provides key input to event reconstruction algorithms required for utilization of these materials in emerging neutron imaging modalities., Comment: 15 pages, 6 figures

Allogeneic hematopoietic cell transplantation (allo-HCT) is a curative therapy for relapsed/refractory and high-risk non-Hodgkin lymphoma (NHL). However, no large studies have evaluated allo-HCT utilization in elderly NHL patients (≥65 years). Using the CIBMTR registry, we report a time-trend analysis of 727 NHL patients (≥65 years) undergoing the first allo-HCT from 2000 to 2015 in the United States (US). Study cohorts were divided by time period: 2000–2005 (N = 76) vs. 2006–2010 (N = 238) vs. 2011–2015 (N = 413). Primary outcome was overall survival (OS). Secondary outcomes included progression-free survival (PFS), relapse/progression (R/P), and non-relapse mortality (NRM). Median age at transplant, use of reduced-intensity conditioning, and graft source remained stable, while use of unrelated donors increased in the most current era. The 1-year probabilities of NRM from 2000 to 2005 vs. 2006–2010 vs. 2011–2015 were 24% vs. 19% vs. 21%, respectively (p = 0.67). Four-year probability of R/P was similar among the three cohorts: 48% (2000–2005), 40% (2006–2010), and 40% (2011–2015) (p = 0.39). The 4-year probabilities of PFS and OS (2000–2005 vs. 2006–2010 vs. 2011–2015) showed significantly improved outcomes in more recent time periods: 17% vs. 31% vs. 30% (p = 0.02) and 21% vs. 42% vs. 44% (p

BACKGROUND Previous studies have reported older adults’ perceptions of using health monitors; however, no studies have examined the actual use of multiple health monitors for lifestyle changes over time among older adults with type 2 diabetes (T2D). OBJECTIVE The primary aim of this study was to examine the actual use of multiple health monitors for lifestyle changes over 3 months among older adults with T2D. The secondary aim was to explore changes in caloric intake and physical activity (PA) over 3 months. METHODS This was a single-group study lasting 3 months. The study sample included participants who were aged ≥65 years with a diagnosis of T2D. Participants were recruited through fliers posted at the Joslin Diabetes Center in Boston. Participants attended five 60-min, biweekly group sessions, which focused on self-monitoring, goal setting, self-regulation to achieve healthy eating and PA habits, and the development of problem-solving skills. Participants were provided with the Lose It! app to record daily food intake and devices such as a Fitbit Alta for monitoring PA, a Bluetooth-enabled blood glucose meter, and a Bluetooth-enabled digital scale. Descriptive statistics were used for analysis. RESULTS Of the enrolled participants (N=9), the sample was white (8/9, 89%) and female (4/9, 44%), with a mean age of 76.4 years (SD 6.0; range 69-89 years), 15.7 years (SD 2.0) of education, 33.3 kg/m2 (SD 3.1) BMI, and 7.4% (SD 0.8) hemoglobin A1c. Over the 84 days of self-monitoring, the mean percentage of days using the Lose It!, Fitbit Alta, blood glucose meter, and scale were 82.7 (SD 17.6), 85.2 (SD 19.7), 65.3 (SD 30.1), and 53.0 (SD 34.5), respectively. From baseline to completion of the study, the mean daily calorie intake was 1459 (SD 661) at week 1, 1245 (SD 554) at week 11, and 1333 (SD 546) at week 12, whereas the mean daily step counts were 5618 (SD 3654) at week 1, 5792 (SD 3814) at week 11, and 4552 (SD 3616) at week 12. The mean percentage of weight loss from baseline was 4.92% (SD 0.25). The dose of oral hypoglycemic agents or insulin was reduced in 55.6% (5/9) of the participants. CONCLUSIONS The results from the pilot study are encouraging and suggest the need for a larger study to confirm the outcomes. In addition, a study design that includes a control group with educational sessions but without the integration of technology would offer additional insight to understand the value of mobile health in behavior changes and the health outcomes observed during this pilot study.