Purpose: Metastatic castration-resistant prostate cancer (mCRPC) remains a disease with high unmet medical need, as most patients do not achieve durable response with available treatments. Prostate-specific membrane antigen (PSMA) is a compelling target for mCRPC. It is highly expressed by primary and metastatic prostate cancer cells, with increased expression after progression on androgen deprivation therapy.
Experimental Design: We developed AMG 160, a half-life extended, bispecific T-cell engager immuno-oncology therapy that binds PSMA on prostate cancer cells and cluster of differentiation 3 on T cells for treatment of mCRPC. AMG 160 was evaluated and in mCRPC xenograft models. AMG 160 tolerability was assessed in nonhuman primates (NHP). AMG 160 activity as monotherapy and in combination with a PSMA-imaging agent, novel hormonal therapy, and immune checkpoint blockade was evaluated.
Results: AMG 160 induces potent, specific killing of PSMA-expressing prostate cancer cell lines , with half-maximal lysis of 6-42 pmol/L. , AMG 160 administered weekly at 0.2 mg/kg engages T cells administered systemically and promotes regression of established 22Rv-1 mCRPC xenograft tumors. AMG 160 is compatible with the imaging agent gallium 68-labeled PSMA-11, and shows enhanced cytotoxic activity when combined with enzalutamide or an anti-programmed death-1 antibody. AMG 160 exhibits an extended half-life and has an acceptable safety profile in NHPs.
Conclusions: The preclinical characterization of AMG 160 highlights its potent antitumor activity and , and its potential for use with known diagnostic or therapeutic agents in mCRPC. These data support the ongoing clinical evaluation of AMG 160 in patients with mCRPC..
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http://dx.doi.org/10.1158/1078-0432.CCR-20-3725 | DOI Listing |
Clin Pharmacokinet
December 2024
Clinical Pharmacology and Quantitative Science, Genmab, Plainsboro, NJ, USA.
Background And Objectives: Epcoritamab is a CD3xCD20 bispecific antibody approved for the treatment of adults with different types of relapsed or refractory (R/R) B cell non-Hodgkin lymphoma (B-NHL) after ≥ 2 lines of systemic therapy. Here we report the first results from a population pharmacokinetic model-based analysis using data from 2 phase 1/2 clinical trials (EPCORE NHL-1, NCT03625037 and EPCORE NHL-3, NCT04542824) evaluating epcoritamab in patients with R/R B-NHL.
Methods: Plasma concentration-time data included 6819 quantifiable pharmacokinetic samples from 327 patients with R/R B-NHL.
Nat Commun
July 2023
Department of Biology, University of Padova, Via U. Bassi 58B, 35131, Padua, Italy.
Huntington's disease (HD) is a neurodegenerative disorder caused by CAG-repeat expansions in the huntingtin (HTT) gene. The resulting mutant HTT (mHTT) protein induces toxicity and cell death via multiple mechanisms and no effective therapy is available. Here, we employ a genome-wide screening in pluripotent mouse embryonic stem cells (ESCs) to identify suppressors of mHTT toxicity.
View Article and Find Full Text PDFEur Heart J
August 2022
TIMI Study Group, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Road, Suite 7022, Boston, MA 02115, USA.
Aims: We investigated the associations between obesity, cardiorenal events, and benefits of dapagliflozin in patients with type 2 diabetes mellitus (T2DM).
Methods And Results: DECLARE-TIMI 58 randomized patients with T2DM and either atherosclerotic cardiovascular (CV) disease or multiple risk factors to dapagliflozin vs. placebo.
J Environ Manage
December 2021
College of Business, Zayed University, PO Box 144534, Khalifa City, Abu Dhabi, United Arab Emirates. Electronic address:
In order to contribute to the existing limited energy-environment literature, the present study analyze the carbon neutrality targets of the 16 major exporting economies while considering the role of economic complexity and renewable energy electricity consumption empirically by investigating the most recent dataset covering the period from 1990 to 2019 by employing advanced econometric techniques. This study uses the economic complexity index, connecting the country's productive structure with the amount of knowledge that the products represent. Employing various cointegration and regression techniques such as augmented mean group (AMG) and dynamic ordinary least square (DOLS) confirms the long-run cointegration among the variables such as economic growth, economic complexity, renewable energy consumption, and CO emission.
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