Abstract: A method and a platform for detecting an immunogenicity of a tumor neoantigen are provided. Specifically, the detection method includes the following steps: culturing human peripheral blood monocytes ex vivo for 13 days, adding an antigenic peptide fragment of human influenza virus and stimulating and activating cytokines, antigenic peptides, and immunoadjuvants during the 13 days, and finally conducting enzyme-linked immunospot (ELISPOT) chromogenic reaction and instrument-based scanning, counting, and analysis to detect the immunogenicity of tumor neoantigen. An application of the detection method and platform in biomedicine is provided. Compared with the prior art, the detection method and platform have advantages and characteristics of a short detection period, high convenience, low consumption of experimental cells, and low detection cost. Therefore, the detection method and platform can be used for ex vivo high-throughput assay for the immunogenicity of the tumor neoantigen.

Abstract: A method and a platform for detecting an immunogenicity of a tumor neoantigen are provided. Specifically, the detection method includes the following steps: culturing human peripheral blood monocytes ex vivo for 13 days, adding an antigenic peptide fragment of human influenza virus and stimulating and activating cytokines, antigenic peptides, and immunoadjuvants during the 13 days, and finally conducting enzyme-linked immunospot (ELISPOT) chromogenic reaction and instrument-based scanning, counting, and analysis to detect the immunogenicity of tumor neoantigen. An application of the detection method and platform in biomedicine is provided. Compared with the prior art, the detection method and platform have advantages and characteristics of a short detection period, high convenience, low consumption of experimental cells, and low detection cost. Therefore, the detection method and platform can be used for ex vivo high-throughput assay for the immunogenicity of the tumor neoantigen.

Abstract: A tumor neoantigen prediction platform and an application thereof in a neoantigen vaccine development system are provided. The present invention selects 55 HLA-A and HLA-B subtypes with a high proportion of Chinese population from a common database, then establishes a method for constructing cell lines expressing associated HLA subtypes, and subsequently analyzes the resulting HLA subtype cell line binding proteomes by protein mass spectrometry at an attomolar (10?18 molar) level; through very high-precision mass spectrometry of protein profiling presented on the surface of a single cell, the present invention builds a high-frequency HLA-binding polypeptide database for Chinese population; subsequently, a tumor neoantigen prediction algorithm is optimized by a prediction platform including the HLA-binding polypeptide database, thereby significantly improving the tumor neoantigen prediction accuracy.