Alanine-based spacers promote an efficient antigen processing and presentation in neoantigen polypeptide vaccines

Author:

Aguilar-Gurrieri Carmen1,Barajas Ana1,Rovirosa Carla1,Ortiz Raquel1,Urrea Victor1,Clotet Bonaventura1,Blanco Julià1,Carrillo Jorge1,Iglesia Nuria de la1

Affiliation:

1. IrsiCaixa AIDS Research Institute, Germans Trias I Pujol Research Institute (IGTP)

Abstract

Abstract Neoantigens are tumor-specific antigens that are mostly particular for each patient. Since the immune system is able to mount a specific immune response against these neoantigens, they are a promising tool for the development of therapeutic personalized cancer vaccines. Neoantigens must be presented to T cells by Antigen Presenting Cells (APC) in the context of MHC-I or MHC-II molecules. Therefore, the strategy of vaccine delivery may have a major impact on the magnitude and quality of T cell responses. Neoantigen vaccines are frequently administered as a pool of individual synthetic peptides that induce mainly CD4+ T cell responses. MHC-I-mediated presentation and the elicitation of CD8+ T cell responses may be improved using DNA or RNA sequences that code for a unique long polypeptide that concatenates the different neoantigens spaced by linker sequences. When administered this way, the selection of the spacer between neoantigens is of special interest, as it might influence the processing and presentation of the right peptides by APCs. Here, we evaluate the impact of such linker regions on the MHC-I-dependent antigen presentation using an in vitro assay that assesses the MHC-I presentation of SIINFEKL, a H-2Kb-restricted OVA peptide. Our results show that spacers used to generate epitope concatenates have a large impact on the efficiency of neoantigen processing and presentation by MHC-I molecules; in contrast, the peptide position and the flanking regions have a minimal impact. Moreover, linkers based on alanine residues promote a more efficient peptide presentation than the commonly used GGGS linker.

Publisher

Research Square Platform LLC

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