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Characterising the HLA-I immunopeptidome of plasma-derived extracellular vesicles in patients with melanoma.
Boyne, Caitlin; Coote, Abigail; Synowsky, Silvia; Naden, Aaron; Shirran, Sally; Powis, Simon J.
Afiliação
  • Boyne C; School of Medicine University of St Andrews Fife Scotland.
  • Coote A; School of Medicine University of St Andrews Fife Scotland.
  • Synowsky S; School of Biology University of St Andrews Fife Scotland.
  • Naden A; Biological Sciences Research Complex University of St Andrews Fife Scotland.
  • Shirran S; School of Chemistry University of St Andrews Fife Scotland.
  • Powis SJ; School of Biology University of St Andrews Fife Scotland.
J Extracell Biol ; 3(3): e146, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38939414
ABSTRACT
Extracellular vesicles (EVs) frequently express human leukocyte antigen class I (HLA-I) molecules. The immunopeptidomes presented on EV HLA-I are being mapped to provide key information on both specific cancer-related peptides, and for larger immunopeptidomic signatures associated with disease. Utilizing HLA-I immunoisolation and mass spectrometry, we characterised the HLA-I immunopeptidome of EVs derived from the melanoma cancer cell line, ESTDAB-026, and the plasma of 12 patients diagnosed with advanced stage melanoma, alongside 11 healthy controls. The EV HLA-I immunopeptidome derived from melanoma cells features T cell epitopes with known immunogenicity and peptides derived from known tumour associated antigens (TAAs). Both T cell epitopes with known immunogenicity and peptides derived from known TAAs were also identifiable in the melanoma patient samples. Patient stratification into two distinct groups with varying immunological profiles was also observed. The data obtained in this study suggests for the first time that the HLA-I immunopeptidome of EVs derived from blood may aid in the detection of important diagnostic or prognostic biomarkers and also provide new immunotherapy targets.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Extracell Biol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Extracell Biol Ano de publicação: 2024 Tipo de documento: Article