Late-differentiated effector neoantigen-specific CD8+ T cells are enriched in peripheral blood of non-small cell lung carcinoma patients responding to atezolizumab 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:
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

249

Références

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

Auteurs

Michael Fehlings (M)

immunoSCAPE Pte Ltd, Singapore, Singapore.

Suchit Jhunjhunwala (S)

Genentech, 1 DNA way, South San Francisco, CA, 94080, USA.

Marcin Kowanetz (M)

Genentech, 1 DNA way, South San Francisco, CA, 94080, USA.

William E O'Gorman (WE)

Genentech, 1 DNA way, South San Francisco, CA, 94080, USA.

Priti S Hegde (PS)

Genentech, 1 DNA way, South San Francisco, CA, 94080, USA.

Hermi Sumatoh (H)

immunoSCAPE Pte Ltd, Singapore, Singapore.

Boon Heng Lee (BH)

immunoSCAPE Pte Ltd, Singapore, Singapore.

Alessandra Nardin (A)

immunoSCAPE Pte Ltd, Singapore, Singapore.

Etienne Becht (E)

Agency for Science, Technology and Research (A*STAR), Singapore Immunology Network (SIgN), Singapore, Singapore.

Susan Flynn (S)

Genentech, 1 DNA way, South San Francisco, CA, 94080, USA.

Marcus Ballinger (M)

immunoSCAPE Pte Ltd, Singapore, Singapore.

Evan W Newell (EW)

immunoSCAPE Pte Ltd, Singapore, Singapore.

Mahesh Yadav (M)

Genentech, 1 DNA way, South San Francisco, CA, 94080, USA. yadav.mahesh@gene.com.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH