Abstract: Background CD19 redirected chimeric antigen receptor (CAR) T-cell therapy has proven efficacy in relapsed or chemotherapy-refractory (r/r) aggressive B-cell non-Hodgkin lymphoma (B-NHL). However, targeting a single B-cell antigen leads to selective pressure with potential antigen-escape and subsequent relapse. A tandem CAR targeting CD20 and CD19 (pLTG1497) has been developed to overcome this limitation. Preclinical evaluation showed improved anti-lymphoma activity. Thus, we initiated a first-in-human, phase I clinical study of autologous pLTG1497-transduced CAR T-cells (MB-CART2019.1) in r/r B-NHL patients. Aims In this phase I prospective multi-center trial (NCT03870945) we aimed to evaluate the maximum tolerated dose (MTD) of MB-CART2019.1 in adult patients with CD20 and CD19 positive r/r B-NHL as determined by dose limiting toxicities (DLTs). Methods This was a 6+3 trial design with two predefined dose levels (DL1 1x106 and DL2 2.5x106 CAR T-cells/kg body weight, respectively). Secondary endpoints included adverse events (AEs) and best overall response rate (ORR). Pharmacodynamic assessments included maximum concentration (Cmax) of CAR T-cells, time to peak expansion (tmax), AUC (d0 to d28), and persistence. MB-CART2019.1 was produced by lentiviral transduction of autologous fresh leukapheresis in the closed automated CliniMACS Prodigy® System (Miltenyi Biotec, Bergisch Gladbach, Germany). Re-infusion (Day 0) of fresh MB-CART2019.1 was scheduled 14 days after leukapheresis. Fludarabine/cyclophosphamide lymphodepleting chemotherapy was administered from day -5 to -3. Results A total of 12 patients, 6 per dose level have been enrolled and treated between February and December 2019, 5 female and 7 male patients. Median age was 72 y (range 20, 78 y), with 10 patients & gt;65 y and 8 & gt;70 y. Histologies included aggressive B-NHL (11) and mantle cell lymphoma (1). Five (5) patients had refractory disease at study entry and IPI was ≥3 in 7 patients. Median time from leukapheresis to re-infusion was 14 d (range 13, 14 d). No DLT and no cytokine release syndrome (CRS) or neurotoxicity grade ≥3 were observed. One patient in dose level 1 experienced a grade 5 AE, which was due to disease progression. CRS grade 1 occurred in 3/6 patients on DL1 and DL2 each, and CRS grade 2 in 2 patients on DL2. Tocilizumab was given in 1 patient. Neurotoxicity grade 1 occurred in 1 patient on DL2. The above described CRS and neurotoxicity resolved completely. Mean Cmax of MB-CART2019.1 was 348.3 cells/µl (range 3.9, 830.4 cells/µl) on DL1 and 692 cells/µl (range 5.3, 3147.8 cells/µl) on DL2. Mean tmax was 15.8 d (range 9, 21 d) on DL1 and 11.5 d (range 9, 14 d) on DL2. Mean AUC was 3155 d*cells/µl (DL1) and 4339 d*cells/µl (DL2). Persistence of MB-CART2019.1 was observed in 12/12 patients until data cut-off. Altogether 9/12 patients (ORR 75%) responded to MB-CART2019.1 with 5/12 CRs. In DL1 3/6 patients responded (ORR 50%) and in DL2 6/6 patients (ORR 100%). The 3 patients without response to MB-CART2019.1 had a mean AUC0-28 of 870 d*cells/µl, whereas mean AUC0-28 in 9 responders was 4843 d*cells/µl reflecting the correlation between the pharmacodynamic parameters and the clinical response. Responses are ongoing in 5/9 patients, with a maximum duration of response of 330 days at data cut-off. Summary/Conclusions In this first-in-human dose finding study of MB-CART2019.1 no DLT and no severe (grade ≥3) CRS or neurotoxicity were observed. Feasibility and safety were very good in this cohort of elderly r/r B-NHL patients. The sustained expansion of tandem CAR T-cells was accompanied by efficacy: all patients (6/6) treated on DL2 responded and all 5 patients with CR (5/5) are in ongoing remission by the time of this report. Based on the promising risk-to-benefit ratio observed in our study, evaluation of MB-CART2019.1 at a dose of 2.5x106/kg body weight in clinical phase II and phase III trials for patients with relapsed aggressive B-NHL is underway. Disclosures Borchmann: Miltenyi Biotec B.V. & Co. KG: Honoraria. Balke-Want:Miltenyi Biotec B.V. & Co. KG: Honoraria. Ayuk:Celgene: Consultancy, Honoraria; Kite/Gilead: Honoraria; Therakos/Mallinckrodt: Honoraria, Research Funding; Neovii: Research Funding; Novartis: Honoraria. Holtkamp:Miltenyi Biomedicine GmbH: Current Employment. Preussner:Miltenyi Biomedicine GmbH: Ended employment in the past 24 months. Zadoyan:Miltenyi Biomedicine GmbH: Current Employment. Hanssens:Miltenyi Biomedicine GmbH: Current Employment. Kaiser:Miltenyi Biotec B.V. & Co. KG: Current Employment. Jurk:Miltenyi Biotec B.V. & Co. KG: Current Employment. Bürger:Miltenyi Biotec B.V. & Co. KG: Current Employment. Schneider:Lentigen Technology Inc., A Miltenyi Company: Current Employment, Patents & Royalties. Dropulic:Lentigen Technology Inc., A Miltenyi Company: Current Employment. Overstijns:Miltenyi Biomedicine GmbH: Current Employment, Membership on an entity's Board of Directors or advisory committees; Miltenyi Biotec B.V. & Co. KG: Current Employment, Membership on an entity's Board of Directors or advisory committees. Scheid:Novartis: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; BMS: Honoraria; Amgen: Honoraria; Takeda: Honoraria, Research Funding. Holtick:Miltenyi Biotec B.V. & Co. KG: Honoraria. Miltenyi:Miltenyi Biomedicine GmbH: Current Employment, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Lentigen Technology Inc., A Miltenyi Company: Current Employment, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Miltenyi Biotec B.V. & Co. KG: Current Employment, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties.

Abstract: Real-world evidence suggests a trend toward inferior survival of patients receiving CD19 chimeric antigen receptor (CAR) T-cell therapy in Europe (EU) and with tisagenlecleucel. The underlying logistic, patient- and disease-related reasons for these discrepancies remain poorly understood. In this multicenter retrospective observational study, we studied the patient-individual journey from CAR-T indication to infusion, baseline features, and survival outcomes in 374 patients treated with tisagenlecleucel (tisa-cel) or axicabtagene-ciloleucel (axi-cel) in EU and the United States (US). Compared with US patients, EU patients had prolonged indication-to-infusion intervals (66 versus 50 d; P 〈 0.001) and more commonly received intermediary therapies (holding and/or bridging therapy, 94% in EU versus 74% in US; P 〈 0.001). Baseline lactate dehydrogenase (LDH) (median 321 versus 271 U/L; P = 0.02) and ferritin levels (675 versus 425 ng/mL; P = 0.004) were significantly elevated in the EU cohort. Overall, we observed inferior survival in EU patients (median progression-free survival [PFS] 3.1 versus 9.2 months in US; P 〈 0.001) and with tisa-cel (3.2 versus 9.2 months with axi-cel; P 〈 0.001). On multivariate Lasso modeling, nonresponse to bridging, elevated ferritin, and increased C-reactive protein represented independent risks for treatment failure. Weighing these variables into a patient-individual risk balancer (high risk [HR] balancer), we found higher levels in EU versus US and tisa-cel versus axi-cel cohorts. Notably, superior PFS with axi-cel was exclusively evident in patients at low risk for progression (according to the HR balancer), but not in high-risk patients. These data demonstrate that inferior survival outcomes in EU patients are associated with longer time-to-infusion intervals, higher tumor burden/LDH levels, increased systemic inflammatory markers, and CAR-T product use.

Abstract: Heterozygous truncating variants in TTN (TTNtv), the gene coding for titin, cause dilated cardiomyopathy (DCM), but the underlying pathomechanisms are unclear and disease management remains uncertain. Truncated titin proteins have not yet been considered as a contributor to disease development. Here, we studied myocardial tissues from nonfailing donor hearts and 113 patients with end-stage DCM for titin expression and identified a TTNtv in 22 patients with DCM (19.5%). We directly demonstrate titin haploinsufficiency in TTNtv-DCM hearts and the absence of compensatory changes in the alternative titin isoform Cronos. Twenty-one TTNtv-DCM hearts in our cohort showed stable expression of truncated titin proteins. Expression was variable, up to half of the total titin protein pool, and negatively correlated with patient age at heart transplantation. Truncated titin proteins were not detected in sarcomeres but were present in intracellular aggregates, with deregulated ubiquitin-dependent protein quality control. We produced human induced pluripotent stem cell–derived cardiomyocytes (hiPSC-CMs), comparing wild-type controls to cells with a patient-derived, prototypical A-band-TTNtv or a CRISPR-Cas9–generated M-band-TTNtv. TTNtv-hiPSC-CMs showed reduced wild-type titin expression and contained truncated titin proteins whose proportion increased upon inhibition of proteasomal activity. In engineered heart muscle generated from hiPSC-CMs, depressed contractility caused by TTNtv could be reversed by correction of the mutation using CRISPR-Cas9, eliminating truncated titin proteins and raising wild-type titin content. Functional improvement also occurred when wild-type titin protein content was increased by proteasome inhibition. Our findings reveal the major pathomechanisms of TTNtv-DCM and can be exploited for new therapies to treat TTNtv-related cardiomyopathies.

Abstract: Microscopic crowd simulation can help to enhance the safety of pedestrians in situations that range from museum visits to music festivals. To obtain a useful prediction, the input parameters must be chosen carefully. In many cases, a lack of knowledge or limited measurement accuracy add uncertainty to the input. In addition, for meaningful parameter studies, we first need to identify the most influential parameters of our parametric computer models. The field of uncertainty quantification offers standardized and fully automatized methods that we believe to be beneficial for pedestrian dynamics. In addition, many methods come at a comparatively low cost, even for computationally expensive problems. This allows for their application to larger scenarios. We aim to identify and adapt fitting methods to microscopic crowd simulation in order to explore their potential in pedestrian dynamics. In this work, we first perform a variance-based sensitivity analysis using Sobol’ indices and then crosscheck the results by a derivative-based measure, the activity scores. We apply both methods to a typical scenario in crowd simulation, a bottleneck. Because constrictions can lead to high crowd densities and delays in evacuations, several experiments and simulation studies have been conducted for this setting. We show qualitative agreement between the results of both methods. Additionally, we identify a one-dimensional subspace in the input parameter space and discuss its impact on the simulation. Moreover, we analyze and interpret the sensitivity indices with respect to the bottleneck scenario.

Abstract: Pedestrian dynamics is an interdisciplinary field of research. Psychologists, sociologists, traffic engineers, physicists, mathematicians and computer scientists all strive to understand the dynamics of a moving crowd. In principle, computer simulations offer means to further this understanding. Yet, unlike for many classic dynamical systems in physics, there is no universally accepted locomotion model for crowd dynamics. On the contrary, a multitude of approaches, with very different characteristics, compete. Often only the experts in one special model type are able to assess the consequences these characteristics have on a simulation study. Therefore, scientists from all disciplines who wish to use simulations to analyze pedestrian dynamics need a tool to compare competing approaches. Developers, too, would profit from an easy way to get insight into an alternative modeling ansatz. Vadere meets this interdisciplinary demand by offering an open-source simulation framework that is lightweight in its approach and in its user interface while offering pre-implemented versions of the most widely spread models.

Abstract: In most agent-based simulators, pedestrians navigate from origins to destinations. Consequently, destinations are essential input parameters to the simulation. While many other relevant parameters as positions, speeds and densities can be obtained from sensors, like cameras, destinations cannot be observed directly. Our research question is: Can we obtain this information from video data using machine learning methods? We use density heatmaps, which indicate the pedestrian density within a given camera cutout, as input to predict the destination distributions. For our proof of concept, we train a Random Forest predictor on an exemplary data set generated with the Vadere microscopic simulator. The scenario is a crossroad where pedestrians can head left, straight or right. In addition, we gain first insights on suitable placement of the camera. The results motivate an in-depth analysis of the methodology.