ALBERT

Beschreibung: Introduction: New targets and treatment modalities are needed for multiple myeloma (MM). Fc receptor-homolog 5 (FcRH5) is a type I membrane protein that is expressed on B cells and plasma cells, and is found on myeloma cells with near 100% prevalence. BFCR4350A, a humanized immunoglobulin G-based T-cell-engaging bispecific antibody (bsAb), targets the most membrane-proximal domain of FcRH5 on myeloma cells and CD3 on T cells. Dual binding facilitates efficient immunological synapse formation, resulting in T-cell activation and potent killing of myeloma cells (Li et al. Cancer Cell 2017). GO39775 (NCT03275103) is an ongoing, multicenter Phase I trial evaluating the safety, activity, pharmacodynamics, and pharmacokinetics of BFCR4350A monotherapy in pts with relapsed/refractory (R/R) MM. We present dose-escalation data from the single step-up dosing cohort (Arm A). Methods: All pts have R/R MM for which no established therapy is available, appropriate, or tolerated. Prior exposure to CAR-T cells, T-cell engaging bsAbs, and antibody-drug conjugates (ADCs), including those targeting BCMA, is allowed. In dose-escalation, pts receive BFCR4350A by IV infusion in 21-day cycles (Q3W). In Arm A, a single step-up dose is used in Cycle (C) 1 to mitigate the risk for cytokine release syndrome (CRS), with the step dose (0.05-3.6mg) given on C1 Day (D) 1 and the target dose (0.15-132mg) given on C1D8, and on D1 of each subsequent cycle. Results: At cut-off (April 13, 2020), 51 pts (median age: 62.0 years [range: 33-80]; high-risk [HR] cytogenetics [1q21, t(4;14), t(14;16), or del(17p)]: 28 pts) had been enrolled into Arm A. Median number of prior lines of therapy was 6 (range: 2-15). Prior treatments included: proteasome inhibitors (PIs), 100% (94.1% refractory); immunomodulatory drugs (IMiDs), 100% (98.0% refractory); anti-CD38 mAbs, 78.4% (92.5% refractory); autologous stem cell transplant, 86.3%. Overall, 66.7% of pts were triple-class refractory (≥1 PI, ≥1 IMiD, and ≥1 anti-CD38 mAb), and 94.1% of pts were refractory to their last therapy. At cut-off, 46/51 pts were evaluable for efficacy. Responses were observed at the 3.6/20mg dose level and above, in 15/29 pts (51.7%) (Table). Responses included 3 stringent CRs, 3 CRs, 4 VGPRs, and 5 PRs (Table). At the 3.6/20mg dose level and above, responses were observed in pts with HR cytogenetics (9/17), triple-class refractory disease (10/20), and prior exposure to anti-CD38 mAbs (11/22), CAR-Ts (2/3), or ADCs (2/2). Duration of response data are evolving, with 6/15 pts in response for 〉6 months at cut-off. Median follow-up for safety was 6.2 months (range: 0.2-26.3 months). Almost all pts (49/51) had ≥1 treatment-related AE. The most common treatment-related AE was CRS (Lee et al. 2014 criteria; 38/51 pts, 74.5%). CRS was Grade (Gr) 1 in 20 pts (39.2%), Gr 2 in 17 pts (33.3%), and Gr 3 in 1 pt (2%) (due to Gr 4 transaminase elevation). CRS was most common in C1 (38 pts) and was uncommon or absent in subsequent cycles (4 pts). Most CRS events (49/58, 84.5%) resolved within 2 days. 18/38 (47.3%) pts with CRS received tocilizumab and/or steroids. Other treatment-related AEs in ≥5 pts were neutropenia and lymphocyte count decreased (6 pts each, 11.8%), aspartate aminotransferase increased and platelet count decreased (5 pts each, 9.8%). Treatment-related Gr 3-4 AEs (20 pts, 39.2%) in ≥3 pts were lymphocyte count decreased (6 pts, 11.8%), neutropenia (5 pts, 9.8%), anemia and platelet count decreased (3 pts each, 5.9%). No treatment-related Gr 5 (fatal) AEs were observed. Treatment-related AEs leading to withdrawal of treatment were uncommon (1 pt, 2.0%). One DLT (Gr 3 pneumonia) was observed in the 3.6/90mg cohort, but the MTD was not reached. BFCR4350A PK was linear across the active dose levels tested and the estimated half-life was supportive of the Q3W dosing regimen. Conclusions: BFCR4350A monotherapy demonstrates promising activity in heavily pre-treated R/R MM, with deep and durable responses observed in pts with HR cytogenetics, triple-class refractory disease, and/or prior exposure to anti-CD38 mAbs, CAR-Ts, or ADCs. Toxicity was manageable, with C1 single step-up dosing effectively mitigating the risk for severe CRS and allowing escalation to clinically active doses. Updated data will be presented. Disclosures Cohen: Novartis: Other: Patents/Intellectual property licensed, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Takeda,: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Genentech/Roche: Membership on an entity's Board of Directors or advisory committees. Harrison:Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; F. Hoffmann-La Roche: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: wrt panobinostat; BMS: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Haemalogix: Consultancy; Janssen: Honoraria; CRISPR Therapeutics: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Krishnan:Sutro: Membership on an entity's Board of Directors or advisory committees; Z Predicta: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy; Regeneron: Consultancy; Takeda: Speakers Bureau; Amgen: Speakers Bureau; BMS/Celgene: Consultancy, Other: Stock BMS, Speakers Bureau; Sanofi: Consultancy. Fonseca:Amgen: Consultancy; BMS: Consultancy; Celgene: Consultancy; Takeda: Consultancy; Bayer: Consultancy; Janssen: Consultancy; Novartis: Consultancy; Pharmacyclics: Consultancy; Sanofi: Consultancy; Merck: Consultancy; Juno: Consultancy; Kite: Consultancy; Aduro: Consultancy; OncoTracker: Consultancy, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Consultancy; GSK: Consultancy; AbbVie: Consultancy; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees. Forsberg:Celgene: Speakers Bureau; Genentech, Inc., Sanofi, Karyopharm, Abbvie: Research Funding. Spencer:AbbVie, Celgene, Haemalogix, Janssen, Sanofi, SecuraBio, Specialised Therapeutics Australia, Servier and Takeda: Consultancy; Amgen, Celgene, Haemalogix, Janssen, Servier and Takeda: Research Funding; AbbVie, Amgen, Celgene, Haemalogix, Janssen, Sanofi, SecuraBio, Specialised Therapeutics Australia, Servier and Takeda: Honoraria; Celgene, Janssen and Takeda: Speakers Bureau. Berdeja:BMS: Consultancy, Research Funding; Glenmark: Research Funding; Genentech, Inc.: Research Funding; Bioclinica: Consultancy; Teva: Research Funding; Vivolux: Research Funding; Abbvie: Research Funding; Cellularity: Research Funding; Acetylon: Research Funding; CURIS: Research Funding; Legend: Consultancy; Lilly: Research Funding; Constellation: Research Funding; EMD Sorono: Research Funding; Celgene: Consultancy, Research Funding; Novartis: Research Funding; Janssen: Consultancy, Research Funding; Prothena: Consultancy; Poseida: Research Funding; Amgen: Consultancy, Research Funding; Servier: Consultancy; Takeda: Consultancy, Research Funding; Bluebird: Research Funding; Karyopharm: Consultancy; Kite Pharma: Consultancy; CRISPR Therapeutics: Consultancy, Research Funding; Kesios: Research Funding. Li:Genentech, Inc./ F. Hoffmann-La Roche: Current Employment. Choeurng:Genentech, Inc.: Current Employment, Current equity holder in publicly-traded company. Vaze:Genentech, Inc./ F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company. Samineni:Genentech, Inc.: Current Employment, Current equity holder in publicly-traded company. Sumiyoshi:Genentech, Inc.: Current Employment, Current equity holder in publicly-traded company, Divested equity in a private or publicly-traded company in the past 24 months. Cooper:Genentech, Inc./ F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company. Fine:Genentech, Inc.: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company. Trudel:Janssen: Honoraria, Research Funding; Sanofi: Honoraria; GSK: Consultancy, Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Karyopharm: Honoraria; AstraZeneca: Honoraria; BMS: Consultancy, Honoraria, Research Funding; Genentech, Inc.: Research Funding; Amgen: Consultancy, Research Funding; Takeda: Honoraria. OffLabel Disclosure: BFCR4350A is a humanized IgG-based T-cell-engaging bispecific antibody that targets the most membrane-proximal domain of FcRH5 on myeloma cells and CD3 on T cells. Dual binding facilitates efficient immunological synapse formation, resulting in T-cell activation and killing of myeloma cells. BFCR4350A is an investigational agent.

Beschreibung: Introduction: Fc receptor-homolog 5 (FcRH5) is an immunoglobulin (Ig) domain-containing type I membrane protein that is expressed exclusively in the B-cell lineage. FcRH5 expression is retained in myeloma cells, with near 100% prevalence, and is elevated vs normal B cells. BFCR4350A is a humanized IgG-based T-cell-engaging bispecific antibody. Binding of BFCR4350A to the most membrane-proximal domain of FcRH5 on myeloma cells and to cluster of differentiation 3 (CD3) on T cells results in efficient immunological synapse formation and potent T-cell-directed killing of myeloma cells (Li, et al. Cancer Cell 2017). An ongoing Phase I dose-escalation study (GO39775; NCT03275103) is investigating the safety, activity, pharmacodynamics (PD) and pharmacokinetics of BFCR4350A monotherapy in patients (pts) with relapsed/refractory (R/R) multiple myeloma (MM). In Arm A, clinical activity was observed at the 3.6mg/20mg (step/target) dose level and above, and toxicity was manageable (Cohen, et al. ASH 2020). We present preliminary biomarker data that demonstrate the mode of action (MOA) of BFCR4350A, provide support for Cycle (C) 1 step-up dosing, and offer preliminary insights into markers that may predict response. Methods: In Arm A, R/R MM pts receive BFCR4350A by intravenous infusion in 21-day cycles. In C1, a single step-up dosing approach is used to mitigate the risk for cytokine release syndrome (CRS), with the step dose given on C1 Day (D) 1 and the target dose given on C1D8. The target dose is then administered on D1 of each subsequent cycle. PD changes in peripheral blood (PB) are assessed at baseline and at multiple time points within C1 by whole blood flow cytometry, plasma cytokine electrochemiluminescence and digital ELISA. Tumor biomarkers are assessed at baseline and pre-C2 by bone marrow (BM) biopsy dual CD138/CD8 immunohistochemistry staining and BM aspirate flow cytometry. The clinical cut-off date used for the current analyses was April 13, 2020. Results: At cut-off, all pts in Arm A (n=51) were biomarker evaluable. FcRH5 expression on myeloma cells was detected in all pts. Dose-dependent PD changes in PB were observed 24-192 hrs after the C1D1 infusion. Variable reduction in circulating T cells was observed 24 hrs after the 0.3-1.8mg C1D1 doses, while consistent reduction was observed after the 3.6mg C1D1 dose, with recovery by C1D8 (192 hrs). T-cell activation was detected 24 hrs post-infusion by upregulation of CD69 in CD8 and CD4 T cells and elevation of IFN-γ in plasma (median increase of ~150-fold from baseline), while T-cell proliferation (Ki67+) peaked by C1D8. At the 3.6mg C1D1 dose, CD8 T-cell activation and proliferation were up to 20-fold higher than at baseline. Minimal elevation of IL-6 was observed post-infusion in pts who received doses below 3.6mg on C1D1, while more consistent increases (≥100pg/ml) were observed in pts who received 3.6mg. IL-6 levels peaked within 24 hrs of the C1D1 dose and the kinetics of IL-6 increase were associated with dose and risk for CRS. Step-up dosing mitigated the risk for severe CRS, as evidenced by lower IL-6 levels after the C1D8 target dose compared to the 3.6mg C1D1 step dose in 27/33 (82%) pts (see Cohen, et al. ASH 2020 for corresponding clinical data). Preliminary data suggest that pts who respond to BFCR4350A have more pronounced T-cell expansion in PB, irrespective of baseline CD8 T-cell levels during the first week of C1. Analysis of the subset of pts with paired BM biopsies (n=19 pts) revealed that levels of CD8+ tumor infiltrating T-cells (TILs) were higher in responding pts than in non-responding pts at the end of C1. Conclusions: In this study, we demonstrated that early PD changes in T-cell activation, proliferation, and cytokine production confirm the MOA of BFCR4350A and support C1 step-up dosing for CRS mitigation in R/R MM. Early data suggest that at the end of C1, higher peripheral CD8 T-cell expansion and TILs are observed in responding pts than in non-responding pts. Additional analyses are ongoing to establish BFCR4350A response predictors and to better characterize the populations that are likely to benefit. Updated data will be presented. Disclosures Nakamura: Genentech, Inc.: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company. Lear:F. Hoffmann-La Roche: Current equity holder in publicly-traded company; Genentech, Inc.: Current Employment. Wilson:Genentech, Inc.: Current Employment. Koeppen:Genentech, Inc./ F. Hoffmann-La Roche: Current Employment; F. Hoffmann-La Roche, Pliant Therapeutics, Allogene, Jounce: Current equity holder in publicly-traded company. Vaze:Genentech, Inc./ F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company. Trudel:Takeda: Honoraria; Sanofi: Honoraria; GSK: Consultancy, Honoraria, Research Funding; Genentech, Inc.: Research Funding; BMS: Consultancy, Honoraria, Research Funding; Karyopharm: Honoraria; AstraZeneca: Honoraria; Pfizer: Honoraria, Research Funding; Amgen: Consultancy, Research Funding; Janssen: Honoraria, Research Funding. Spencer:Amgen, Celgene, Haemalogix, Janssen, Servier and Takeda: Research Funding; AbbVie, Amgen, Celgene, Haemalogix, Janssen, Sanofi, SecuraBio, Specialised Therapeutics Australia, Servier and Takeda: Honoraria; AbbVie, Celgene, Haemalogix, Janssen, Sanofi, SecuraBio, Specialised Therapeutics Australia, Servier and Takeda: Consultancy; Celgene, Janssen and Takeda: Speakers Bureau. Harrison:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; F. Hoffmann-La Roche: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Patents & Royalties: wrt panobinostat; Janssen: Honoraria; BMS: Consultancy, Honoraria; CRISPR Therapeutics: Consultancy, Honoraria; Haemalogix: Consultancy; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Cohen:Novartis: Other: Patents/Intellectual property licensed, Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Takeda,: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees; Kite Pharma: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Genentech/Roche: Membership on an entity's Board of Directors or advisory committees. Fine:Genentech, Inc.: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company. Li:Genentech, Inc./ F. Hoffmann-La Roche: Current Employment. Cooper:Genentech, Inc./ F. Hoffmann-La Roche: Current Employment, Current equity holder in publicly-traded company. Sumiyoshi:Genentech, Inc.: Current Employment, Current equity holder in publicly-traded company, Divested equity in a private or publicly-traded company in the past 24 months. OffLabel Disclosure: BFCR4350A is a humanized IgG-based T-cell-engaging bispecific antibody that targets the most membrane-proximal domain of FcRH5 on myeloma cells and CD3 on T cells. Dual binding facilitates efficient immunological synapse formation, resulting in T-cell activation and killing of myeloma cells. BFCR4350A is an investigational agent.

Beschreibung: Trial-to-trial variability during visuomotor adaptation is usually explained as the result of two different sources, planning noise and execution noise. The estimation of the underlying variance parameters from observations involving varying feedback conditions cannot be achieved by standard techniques (Kalman filter) because they do not account for recursive noise propagation in a closed-loop system. We therefore developed a method to compute the exact likelihood of the output of a time-discrete and linear adaptation system as has been used to model visuomotor adaptation (Smith et al. in PLoS Biol 4(6):e179, 2006), observed under closed-loop and error-clamp conditions. We identified the variance parameters by maximizing this likelihood and compared the model prediction of the time course of variance and autocovariance with empiric data. The observed increase in variability during the early training phase could not be explained by planning noise and execution noise with constant variances. Extending the model by signal-dependent components of either execution noise or planning noise showed that the observed temporal changes of the trial-to-trial variability can be modeled by signal-dependent planning noise rather than signal-dependent execution noise. Comparing the variance time course between different training schedules showed that the signal-dependent increase of planning variance was specific for the fast adapting mechanism, whereas the assumption of constant planning variance was sufficient for the slow adapting mechanisms.

Beschreibung: Observational studies have found associations between urinary sodium (UNa) with obesity, body shape and composition; but the findings may be biased by residual confounding. The objective of this two-sample Mendelian randomization (MR) study was to analyze their causal associations in both sex-combined and sex-specific models. Genome-wide association studies of UNa, body mass index (BMI), BMI-adjusted waist-to-hip ratio (WHR), body fat (BF) percentage and estimated glomerular filtration rate (eGFR) were identified. We initially extracted fifty SNPs associated with UNa at significance level of 5 × 10–8, but further removed those SNPs with potential horizontal pleiotropy. Univariable and multivariable MR with adjustment for eGFR were performed. Inverse-variance weighted MR was performed as the primary analysis, with MR-Egger methods as sensitivity analysis. The potential bidirectional association between BMI and UNa was investigated. All exposure and outcomes were continuous, and the effect measure was regression coefficients (beta) and their 95% confidence intervals (95% CI). The total sample size was up to 322 154. UNa was causally associated with increased BMI in both men [eGFR-adjusted beta 0.443 (0.163–0.724)] and women [0.594 (0.333–0.855)]. UNa caused BF percentage increase in men [0.622 (0.268–0.976)] and women [0.334 (0.007–0.662)]. UNa significantly elevated BMI-adjusted WHR in men [0.321 (0.094–0.548)], but not in women [0.170 (− 0.052 to 0.391)]. Additionally, we found that BMI causally increased UNa [0.043 (0.023–0.063)]. UNa increased BMI and BF percentage. Salt intake affects male body shape by increasing BMI-adjusted WHR, but showed no effects on female body shape. The bidirectional association between BMI and UNa suggested that salt reduction measures and weight reduction measures should be implemented simultaneously to break the vicious cycle and gain more health benefits.