id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-007851-v6h1yro7	Han, Ki-Cheol	Streamlined selection of cancer antigens for vaccine development through integrative multi-omics and high-content cell imaging	2020-04-03		.txt	text/plain	4886	260	41	We used a combined application of this method involving immune-specific signature analysis and HLA-associated peptidomics using samples from six patients with triple-negative breast cancer (TNBC) in order to select immunogenic HLA epitopes for in vitro testing. Integrated WTS data revealed a higher priority to select promising HLA-peptides via high-resolution bioinformatics analysis, showing immune-cell-specific signatures and TCR-repertoire diversity in tumors. We then found a positive correlation between TCR diversity, reflecting clonal composition, and the expression of MHC-class І molecules, suggesting that active tumor-antigen presentation promotes the generation of antigen-specific TILs. Additionally, immune-specific signature analysis can discriminate specific immune-cell types in each patient and thus enhance the efficiency of selective HLA-peptidomic approaches. In this study, the HLA-peptidomics approach combined with comprehensive analysis of immune-specific signatures and TCR repertories showed high selectivity to determine the immunogenic T-cell epitopes. Identification of potential vaccine epitopes coupled with immune-specific signature analysis, HLA-peptidomics, and single-cell-based immunogenicity testing offers a discriminative and powerful tool for cancer-vaccine development.	./cache/cord-007851-v6h1yro7.txt	./txt/cord-007851-v6h1yro7.txt