Development of a semi-automated MHC-associated peptide proteomics (MAPPs) method using streptavidin bead-based immunoaffinity capture and nano LC-MS/MS to support immunogenicity risk assessment in drug development.

Major histocompatibility complex (MHC)-Associated Peptide Proteomics (MAPPs) is an ex vivo method used to assess the immunogenicity risk of biotherapeutics. MAPPs can identify potential T-cell epitopes within the biotherapeutic molecule. Using adalimumab treated human monocyte derived dendritic cells (DCs) and a pan anti-HLA-DR antibody (Ab), we systematically automated and optimized biotin/streptavidin (SA)-capture antibody coupling, lysate incubation with capture antibody, as well as the washing and elution steps of a MAPPs method using functionalized magnetic beads and a KingFisher Magnetic Particle processor. Automation of these steps, combined with capturing using biotinylated-Ab/SA magnetic beads rather than covalently bound antibody, improved reproducibility as measured by minimal inter-and intra-day variability, as well as minimal analyst-to-analyst variability. The semi-automated MAPPs workflow improved sensitivity, allowing for a lower number of cells per analysis. The method was assessed using five different biotherapeutics with varying immunogenicity rates ranging from 0.1 to 48% ADA incidence in the clinic. Biotherapeutics with ≥10%immunogenicity incidence consistently presented more peptides (1.8-28 fold) and clusters (10-21 fold) compared to those with <10% immunogenicity incidence. Our semi-automated MAPPs method provided two main advantages over a manual workflow- the robustness and reproducibility affords confidence in the epitopes identified from as few as 5 to 10 donors and the method workflow can be readily adapted to incorporate different capture Abs in addition to anti-HLA-DR. The incorporation of semi-automated MAPPs with biotinylated-Ab/SA bead-based capture in immunogenicity screening strategies allows the generation of more consistent and reliable data, helping to improve immunogenicity prediction capabilities in drug development. MHC associated peptide proteomics (MAPPs), Immunogenicity risk assessment, in vitro/ex vivo, biotherapeutics, Major Histocompatibility Complex Class II (MHC II), LC-MS, Immunoaffinity Capture, streptavidin magnetic beads.

Enrichment of circulating tumor-derived extracellular vesicles from human plasma.

Extracellular vesicles (EVs) are gaining considerable traction within the liquid biopsy arena, as carriers of information from cells in distant sites that may not be accessible for biopsy. Therefore, there is a need to develop methods to enrich for specific EV subtypes, based on their cells of origin. Here we describe the development of an automated method to enrich tumor-derived EVs from plasma using the CellSearch technology compared to Total EVs isolated using differential ultracentrifugation (DUC). We use a modified CellSearch protocol to enrich EpCAM+ EVs from the plasma of patients with non-small cell lung carcinoma (NSCLC) and triple negative breast cancer (TNBC). As a test case, we examined PD-L1, an immune checkpoint ligand known to be expressed in some tumor tissues, to demonstrate enrichment for EpCAM+ EVs. For this purpose, we developed two custom immunoassays utilizing the Simoa HD-1 analyzer (Quanterix) to detect PD-L1 in EVs and interrogate specific EV populations from human plasma. PD-L1 was present in Total EVs from the plasma of healthy individuals and cancer patients, since it is also expressed on several immune cells. However, EpCAM+ EVs were only detectable from the plasma of cancer patients, suggesting these are tumor-derived EVs. As low as 250 µL of plasma could be used to reliably detect PD-L1 from patient-derived EpCAM+ EVs. In summary, this report demonstrates the development of a robust tumor-derived EV enrichment method from human blood. Furthermore, this proof-of-concept study is extendable to other known cancer-specific proteins expressed on EVs exuded from tumors.