Late-differentiated effector neoantigen-specific CD8+ T cells are enriched in peripheral blood of non-small cell lung carcinoma patients responding to atezolizumab treatment.
Aged
Antibodies, Monoclonal, Humanized
/ pharmacology
Antigens, Neoplasm
/ genetics
Antineoplastic Agents, Immunological
/ pharmacology
B7-H1 Antigen
/ antagonists & inhibitors
CD8-Positive T-Lymphocytes
/ immunology
Carcinoma, Non-Small-Cell Lung
/ blood
Drug Monitoring
/ methods
Female
Humans
Lung Neoplasms
/ blood
Male
Middle Aged
Mutation
RNA-Seq
Exome Sequencing
Atezolizumab
Immunotherapy
NSCLC
Tumor neoantigen-specific T cells
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:
12 09 2019
12 09 2019
Historique:
received:
23
04
2019
accepted:
25
07
2019
entrez:
13
9
2019
pubmed:
13
9
2019
medline:
4
8
2020
Statut:
epublish
Résumé
There is strong evidence that immunotherapy-mediated tumor rejection can be driven by tumor-specific CD8+ T cells reinvigorated to recognize neoantigens derived from tumor somatic mutations. Thus, the frequencies or characteristics of tumor-reactive, mutation-specific CD8+ T cells could be used as biomarkers of an anti-tumor response. However, such neoantigen-specific T cells are difficult to reliably identify due to their low frequency in peripheral blood and wide range of potential epitope specificities. Peripheral blood mononuclear cells (PBMC) from 14 non-small cell lung cancer (NSCLC) patients were collected pre- and post-treatment with the anti-PD-L1 antibody atezolizumab. Using whole exome sequencing and RNA sequencing we identified tumor neoantigens that are predicted to bind to major histocompatibility complex class I (MHC-I) and utilized mass cytometry, together with cellular 'barcoding', to profile immune cells from patients with objective response to therapy (n = 8) and those with progressive disease (n = 6). In parallel, a highly-multiplexed combinatorial tetramer staining was used to screen antigen-specific CD8+ T cells in peripheral blood for 782 candidate tumor neoantigens and 71 known viral-derived control peptide epitopes across all patient samples. No significant treatment- or response associated phenotypic difference were measured in bulk CD8+ T cells. Multiplexed peptide-MHC multimer staining detected 20 different neoantigen-specific T cell populations, as well as T cells specific for viral control antigens. Not only were neoantigen-specific T cells more frequently detected in responding patients, their phenotypes were also almost entirely distinct. Neoantigen-specific T cells from responder patients typically showed a differentiated effector phenotype, most like Cytomegalovirus (CMV) and some types of Epstein-Barr virus (EBV)-specific CD8+ T cells. In contrast, more memory-like phenotypic profiles were observed for neoantigen-specific CD8+ T cells from patients with progressive disease. This study demonstrates that neoantigen-specific T cells can be detected in peripheral blood in non-small cell lung cancer (NSCLC) patients during anti-PD-L1 therapy. Patients with an objective response had an enrichment of neoantigen-reactive T cells and these cells showed a phenotype that differed from patients without a response. These findings suggest the ex vivo identification, characterization, and longitudinal follow-up of rare tumor-specific differentiated effector neoantigen-specific T cells may be useful in predicting response to checkpoint blockade. POPLAR trial NCT01903993 .
Sections du résumé
BACKGROUND
There is strong evidence that immunotherapy-mediated tumor rejection can be driven by tumor-specific CD8+ T cells reinvigorated to recognize neoantigens derived from tumor somatic mutations. Thus, the frequencies or characteristics of tumor-reactive, mutation-specific CD8+ T cells could be used as biomarkers of an anti-tumor response. However, such neoantigen-specific T cells are difficult to reliably identify due to their low frequency in peripheral blood and wide range of potential epitope specificities.
METHODS
Peripheral blood mononuclear cells (PBMC) from 14 non-small cell lung cancer (NSCLC) patients were collected pre- and post-treatment with the anti-PD-L1 antibody atezolizumab. Using whole exome sequencing and RNA sequencing we identified tumor neoantigens that are predicted to bind to major histocompatibility complex class I (MHC-I) and utilized mass cytometry, together with cellular 'barcoding', to profile immune cells from patients with objective response to therapy (n = 8) and those with progressive disease (n = 6). In parallel, a highly-multiplexed combinatorial tetramer staining was used to screen antigen-specific CD8+ T cells in peripheral blood for 782 candidate tumor neoantigens and 71 known viral-derived control peptide epitopes across all patient samples.
RESULTS
No significant treatment- or response associated phenotypic difference were measured in bulk CD8+ T cells. Multiplexed peptide-MHC multimer staining detected 20 different neoantigen-specific T cell populations, as well as T cells specific for viral control antigens. Not only were neoantigen-specific T cells more frequently detected in responding patients, their phenotypes were also almost entirely distinct. Neoantigen-specific T cells from responder patients typically showed a differentiated effector phenotype, most like Cytomegalovirus (CMV) and some types of Epstein-Barr virus (EBV)-specific CD8+ T cells. In contrast, more memory-like phenotypic profiles were observed for neoantigen-specific CD8+ T cells from patients with progressive disease.
CONCLUSION
This study demonstrates that neoantigen-specific T cells can be detected in peripheral blood in non-small cell lung cancer (NSCLC) patients during anti-PD-L1 therapy. Patients with an objective response had an enrichment of neoantigen-reactive T cells and these cells showed a phenotype that differed from patients without a response. These findings suggest the ex vivo identification, characterization, and longitudinal follow-up of rare tumor-specific differentiated effector neoantigen-specific T cells may be useful in predicting response to checkpoint blockade.
TRIAL REGISTRATION
POPLAR trial NCT01903993 .
Identifiants
pubmed: 31511069
doi: 10.1186/s40425-019-0695-9
pii: 10.1186/s40425-019-0695-9
pmc: PMC6740011
doi:
Substances chimiques
Antibodies, Monoclonal, Humanized
0
Antigens, Neoplasm
0
Antineoplastic Agents, Immunological
0
B7-H1 Antigen
0
CD274 protein, human
0
atezolizumab
52CMI0WC3Y
Banques de données
ClinicalTrials.gov
['NCT01903993']
Types de publication
Clinical Trial, Phase II
Journal Article
Randomized Controlled Trial
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
249Références
Blood. 2005 Jan 1;105(1):241-50
pubmed: 15345595
Immunology. 2011 Sep;134(1):17-32
pubmed: 21711350
Immunogenetics. 2012 Mar;64(3):177-86
pubmed: 22009319
Bioinformatics. 2012 Jul 15;28(14):1811-7
pubmed: 22581179
Nucleic Acids Res. 2012 Dec;40(22):11189-201
pubmed: 23066108
Cytometry A. 2013 May;83(5):483-94
pubmed: 23512433
Nat Biotechnol. 2013 Jun;31(6):545-52
pubmed: 23685480
Nat Biotechnol. 2013 Jul;31(7):623-9
pubmed: 23748502
J Clin Oncol. 2013 Nov 10;31(32):e439-42
pubmed: 24043743
J Clin Invest. 2014 May;124(5):2246-59
pubmed: 24667641
N Engl J Med. 2014 Dec 4;371(23):2189-2199
pubmed: 25409260
Nature. 2014 Nov 27;515(7528):563-7
pubmed: 25428504
Nature. 2014 Nov 27;515(7528):568-71
pubmed: 25428505
Nature. 2014 Nov 27;515(7528):572-6
pubmed: 25428506
J Immunol. 2015 Apr 1;194(7):3475-86
pubmed: 25725111
Science. 2015 Apr 3;348(6230):124-8
pubmed: 25765070
Science. 2015 Apr 3;348(6230):56-61
pubmed: 25838373
Cancer Cell. 2015 Apr 13;27(4):450-61
pubmed: 25858804
Nat Biotechnol. 2015 Nov;33(11):1152-8
pubmed: 26372948
J Clin Invest. 2015 Oct 1;125(10):3981-91
pubmed: 26389673
Cancer Immunol Immunother. 2016 Apr;65(4):441-52
pubmed: 26850637
Nat Med. 2016 Apr;22(4):433-8
pubmed: 26901407
Science. 2016 Mar 25;351(6280):1463-9
pubmed: 26940869
Lancet. 2016 Apr 30;387(10030):1837-46
pubmed: 26970723
Genome Biol. 2016 Jun 06;17(1):122
pubmed: 27268795
Nat Immunol. 2017 Feb 15;18(3):255-262
pubmed: 28198830
Immunity. 2017 Feb 21;46(2):197-204
pubmed: 28228279
Nat Rev Cancer. 2017 Apr;17(4):209-222
pubmed: 28233802
Nature. 2017 May 4;545(7652):60-65
pubmed: 28397821
Proc Natl Acad Sci U S A. 2017 May 9;114(19):4993-4998
pubmed: 28446615
Nat Biotechnol. 2017 Sep 11;35(9):815-817
pubmed: 28898209
Nat Commun. 2017 Sep 15;8(1):562
pubmed: 28916749
Front Immunol. 2017 Nov 15;8:1566
pubmed: 29187854
Nature. 2018 Feb 22;554(7693):544-548
pubmed: 29443960
Nat Commun. 2018 Mar 15;9(1):1092
pubmed: 29545564
Science. 2018 Mar 23;359(6382):1350-1355
pubmed: 29567705
Trends Immunol. 2018 Jul;39(7):536-548
pubmed: 29751996
Nature. 2018 May;557(7706):575-579
pubmed: 29769722
Nat Commun. 2018 Jul 13;9(1):2724
pubmed: 30006565
Cell. 2018 Oct 4;175(2):313-326
pubmed: 30290139
Clin Cancer Res. 2019 Apr 1;25(7):2096-2108
pubmed: 30573690
Sci Immunol. 2019 Feb 8;4(32):null
pubmed: 30737354