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
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
18 11 2019
Historique:
received: 13 06 2019
accepted: 02 10 2019
entrez: 19 11 2019
pubmed: 19 11 2019
medline: 3 7 2020
Statut: epublish

Résumé

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.

Sections du résumé

BACKGROUND
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.

Identifiants

pubmed: 31735170
doi: 10.1186/s40425-019-0769-8
pii: 10.1186/s40425-019-0769-8
pmc: PMC6859637
doi:

Substances chimiques

Antigens, Neoplasm 0
Histocompatibility Antigens Class I 0
Peptides 0
Protein Kinase Inhibitors 0
Interferon-gamma 82115-62-6
MAP Kinase Kinase Kinases EC 2.7.11.25

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

309

Subventions

Organisme : European Research Council
ID : 820137
Pays : International
Organisme : Cancer Research UK
ID : C43396/A18377
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 105104/Z/14/Z
Pays : United Kingdom

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Auteurs

Alice Newey (A)

Translational Oncogenomics Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.

Beatrice Griffiths (B)

Translational Oncogenomics Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.

Justine Michaux (J)

Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, 1005, Lausanne, Switzerland.

Hui Song Pak (HS)

Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, 1005, Lausanne, Switzerland.

Brian J Stevenson (BJ)

Vital IT, Swiss Institute of Bioinformatics, 1015, Lausanne, Switzerland.

Andrew Woolston (A)

Translational Oncogenomics Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.

Maria Semiannikova (M)

Translational Oncogenomics Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.

Georgia Spain (G)

Translational Oncogenomics Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.

Louise J Barber (LJ)

Translational Oncogenomics Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.

Nik Matthews (N)

Tumour Profiling Unit, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.

Sheela Rao (S)

GI Cancer Unit, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK.

David Watkins (D)

GI Cancer Unit, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK.

Ian Chau (I)

GI Cancer Unit, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK.

George Coukos (G)

Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, 1005, Lausanne, Switzerland.

Julien Racle (J)

Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, 1005, Lausanne, Switzerland.
Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland.

David Gfeller (D)

Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, 1005, Lausanne, Switzerland.
Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland.

Naureen Starling (N)

GI Cancer Unit, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK.

David Cunningham (D)

GI Cancer Unit, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK.

Michal Bassani-Sternberg (M)

Department of Oncology UNIL CHUV, Ludwig Institute for Cancer Research, University of Lausanne, 1005, Lausanne, Switzerland.

Marco Gerlinger (M)

Translational Oncogenomics Lab, Centre for Evolution and Cancer, The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK. marco.gerlinger@icr.ac.uk.
GI Cancer Unit, The Royal Marsden Hospital, Fulham Road, London, SW3 6JJ, UK. marco.gerlinger@icr.ac.uk.

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