Cellular determinants for preclinical activity of a novel CD33/CD3 bispecific T-cell engager (BiTE) antibody, AMG 330, against human AML.

CD33 is a valid target for acute myeloid leukemia (AML) but has proven challenging for antibody-drug conjugates. Herein, we investigated the cellular determinants for the activity of the novel CD33/CD3-directed bispecific T-cell engager antibody, AMG 330. In the presence of T cells, AMG 330 was highly active against human AML cell lines and primary AML cells in a dose- and effector to target cell ratio-dependent manner. Using cell lines engineered to express wild-type CD33 at increased levels, we found a quantitative relationship between AMG 330 cytotoxicity and CD33 expression; in contrast, AMG 330 cytotoxicity was neither affected by common CD33 single nucleotide polymorphisms nor expression of the adenosine triphosphate-binding cassette (ABC) transporter proteins, P-glycoprotein or breast cancer resistance protein. Unlike bivalent CD33 antibodies, AMG 330 did not reduce surface CD33 expression. The epigenetic modifier drugs, panobinostat and azacitidine, increased CD33 expression in some cell lines and augmented AMG 330-induced cytotoxicity. These findings demonstrate that AMG 330 has potent CD33-dependent cytolytic activity in vitro, which can be further enhanced with other clinically available therapeutics. As it neither modulates CD33 expression nor is affected by ABC transporter activity, AMG 330 is highly promising for clinical exploration as it may overcome some limitations of previous CD33-targeted agents.

First-in-human study of the safety, tolerability, pharmacokinetics, and pharmacodynamics of ALPN-101, a dual CD28/ICOS antagonist, in healthy adult subjects.

ALPN-101 (ICOSL vIgD-Fc) is an Fc fusion protein of a human inducible T cell costimulatory ligand (ICOSL) variant immunoglobulin domain (vIgD) designed to inhibit the cluster of differentiation 28 (CD28) and inducible T cell costimulator (ICOS) pathways simultaneously. A first-in-human study evaluated the safety, tolerability, pharmacokinetics (PK), and pharmacodynamics (PD) of ALPN-101 in healthy adult subjects. ALPN-101 was generally well-tolerated with no evidence of cytokine release, clinically significant immunogenicity, or severe adverse events following single subcutaneous (SC) doses up to 3 mg/kg or single intravenous (IV) doses up to 10 mg/kg or up to 4 weekly IV doses of up to 1 mg/kg. ALPN-101 exhibited a dose-dependent increase in exposure with an estimated terminal half-life of 4.3-8.6 days and SC bioavailability of 60.6% at 3 mg/kg. Minimal to modest accumulation in exposure was observed with repeated IV dosing. ALPN-101 resulted in a dose-dependent increase in maximum target saturation and duration of high-level target saturation. Consistent with its mechanism of action, ALPN-101 inhibited cytokine production in whole blood stimulated by Staphylococcus aureus enterotoxin B ex vivo, as well as antibody responses to keyhole limpet hemocyanin immunization, reflecting immunomodulatory effects upon T cell and T-dependent B cell responses, respectively. In conclusion, ALPN-101 was well-tolerated in healthy subjects with dose-dependent PK and PD consistent with the known biology of the CD28 and ICOS costimulatory pathways. Further clinical development of ALPN-101 in inflammatory and/or autoimmune diseases is therefore warranted.

Evidence for endotoxin contamination in plastic Na+-heparin blood collection tube lots.

BACKGROUND: Biomarker assays are often conducted on whole blood samples in the course of drug development studies. Because bacterial lipopolysaccharide (LPS) (endotoxin) contamination is known to cause spontaneous cytokine production by monocytes, contamination of blood collection tubes may interfere with biomarker assay results. METHODS: Whole blood from healthy donors was collected into plastic or glass sodium (Na(+))-heparin Vacutainer() blood collection tubes and heparinized syringes. Samples were analyzed for phosphoprotein response, cytokine production, and RNA expression. Tubes were tested for endotoxin contamination by use of the limulus amoebocyte lysate assay. RESULTS: Results of phospho-flow cytometry, branched DNA (bDNA), and ELISA assays indicated that a specific lot (#5339582) of plastic Na(+)-heparin Vacutainer tubes was highly contaminated with an endotoxinlike substance, and contamination was confirmed by the limulus amoebocyte lysate assay. Analysis of multiple-analyte panels revealed that analytes whose changed expression was predictive of LPS stimulation were increased when whole blood was incubated in contaminated tubes for 6 or 18 h. Two additional lots of plastic tubes tested had detectable amounts of endotoxin sufficient to strongly alter phospho-flow cytometry analyses, as determined by the fold change in phosphorylation of p38 mitogen-activated protein kinase in response to tumor necrosis factor alpha and LPS. In contrast, 3 lots of glass tubes had substantially lower levels of spontaneous blood activation. CONCLUSIONS: Endotoxin contamination associated with tubes from 3 lots of a particular type of plastic Na(+)-heparin Vacutainer tube dramatically affected biomarker assay measurements. Prescreening these tubes is suggested before their use in clinical sample analysis.

Bridging the Divide between Manual Gating and Bioinformatics with the Bioconductor Package flowFlowJo.

In flow cytometry, different cell types are usually selected or "gated" by a series of 1- or 2-dimensional geometric subsets of the measurements made on each cell. This is easily accomplished in commercial flow cytometry packages but it is difficult to work computationally with the results of this process. The ability to retrieve the results and work with both them and the raw data is critical; our experience points to the importance of bioinformatics tools that will allow us to examine gating robustness, combine manual and automated gating, and perform exploratory data analysis. To provide this capability, we have developed a Bioconductor package called flowFlowJo that can import gates defined by the commercial package FlowJo and work with them in a manner consistent with the other flow packages in Bioconductor. We present this package and illustrate some of the ways in which it can be used.