Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment.

Details

Ressource 1Download: 31735170_BIB_7418AE3DFDA7.pdf (2357.22 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_7418AE3DFDA7
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Immunopeptidomics of colorectal cancer organoids reveals a sparse HLA class I neoantigen landscape and no increase in neoantigens with interferon or MEK-inhibitor treatment.
Journal
Journal for immunotherapy of cancer
Author(s)
Newey A., Griffiths B., Michaux J., Pak H.S., Stevenson B.J., Woolston A., Semiannikova M., Spain G., Barber L.J., Matthews N., Rao S., Watkins D., Chau I., Coukos G., Racle J., Gfeller D., Starling N., Cunningham D., Bassani-Sternberg M. (co-last), Gerlinger M.
ISSN
2051-1426 (Electronic)
ISSN-L
2051-1426
Publication state
Published
Issued date
18/11/2019
Peer-reviewed
Oui
Volume
7
Number
1
Pages
309
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Abstract
Patient derived organoids (PDOs) can be established from colorectal cancers (CRCs) as in vitro models to interrogate cancer biology and its clinical relevance. We applied mass spectrometry (MS) immunopeptidomics to investigate neoantigen presentation and whether this can be augmented through interferon gamma (IFNγ) or MEK-inhibitor treatment.
Four microsatellite stable PDOs from chemotherapy refractory and one from a treatment naïve CRC were expanded to replicates with 100 million cells each, and HLA class I and class II peptide ligands were analyzed by MS.
We identified an average of 9936 unique peptides per PDO which compares favorably against published immunopeptidomics studies, suggesting high sensitivity. Loss of heterozygosity of the HLA locus was associated with low peptide diversity in one PDO. Peptides from genes without detectable expression by RNA-sequencing were rarely identified by MS. Only 3 out of 612 non-silent mutations encoded for neoantigens that were detected by MS. In contrast, computational HLA binding prediction estimated that 304 mutations could generate neoantigens. One hundred ninety-six of these were located in expressed genes, still exceeding the number of MS-detected neoantigens 65-fold. Treatment of four PDOs with IFNγ upregulated HLA class I expression and qualitatively changed the immunopeptidome, with increased presentation of IFNγ-inducible genes. HLA class II presented peptides increased dramatically with IFNγ treatment. MEK-inhibitor treatment showed no consistent effect on HLA class I or II expression or the peptidome. Importantly, no additional HLA class I or II presented neoantigens became detectable with any treatment.
Only 3 out of 612 non-silent mutations encoded for neoantigens that were detectable by MS. Although MS has sensitivity limits and biases, and likely underestimated the true neoantigen burden, this established a lower bound of the percentage of non-silent mutations that encode for presented neoantigens, which may be as low as 0.5%. This could be a reason for the poor responses of non-hypermutated CRCs to immune checkpoint inhibitors. MEK-inhibitors recently failed to improve checkpoint-inhibitor efficacy in CRC and the observed lack of HLA upregulation or improved peptide presentation may explain this.
Keywords
Antigens, Neoplasm/genetics, Antigens, Neoplasm/immunology, Colorectal Neoplasms/genetics, Colorectal Neoplasms/immunology, Female, Histocompatibility Antigens Class I/genetics, Histocompatibility Antigens Class I/immunology, Humans, Interferon-gamma/pharmacology, MAP Kinase Kinase Kinases/antagonists & inhibitors, Male, Middle Aged, Organoids/immunology, Peptides/immunology, Protein Kinase Inhibitors/pharmacology, Proteomics, Antigen presentation, Colorectal cancer, Human leukocyte antigen, Immunogenicity, Immunotherapy, Mass spectrometry, Neoantigens, Patient derived organoids
Pubmed
Web of science
Open Access
Yes
Create date
28/11/2019 13:05
Last modification date
15/01/2021 8:10
Usage data