Dynamics and survival associations of T cell receptor clusters in patients with pleural mesothelioma treated with immunotherapy.


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:
06 2023
Historique:
accepted: 26 04 2023
medline: 8 6 2023
pubmed: 7 6 2023
entrez: 6 6 2023
Statut: ppublish

Résumé

Immune checkpoint inhibitors (ICIs) are now a first-line treatment option for patients with pleural mesothelioma with the recent approval of ipilimumab and nivolumab. Mesothelioma has a low tumor mutation burden and no robust predictors of survival with ICI. Since ICIs enable adaptive antitumor immune responses, we investigated T-cell receptor (TCR) associations with survival in participants from two clinical trials treated with ICI. We included patients with pleural mesothelioma who were treated with nivolumab (NivoMes, NCT02497508) or nivolumab and ipilimumab (INITIATE, NCT03048474) after first-line therapy. TCR sequencing was performed with the ImmunoSEQ assay in 49 and 39 pretreatment and post-treatment patient peripheral blood mononuclear cell (PBMC) samples. These data were integrated with TCR sequences found in bulk RNAseq data by TRUST4 program in 45 and 35 pretreatment and post-treatment tumor biopsy samples and TCR sequences from over 600 healthy controls. The TCR sequences were clustered into groups of shared antigen specificity using GIANA. Associations of TCR clusters with overall survival were determined by cox proportional hazard analysis. We identified 4.2 million and 12 thousand complementarity-determining region 3 (CDR3) sequences from PBMCs and tumors, respectively, in patients treated with ICI. These CDR3 sequences were integrated with 2.1 million publically available CDR3 sequences from healthy controls and clustered. ICI-enhanced T-cell infiltration and expanded T cell diversity in tumors. Cases with TCR clones in the top tertile in the pretreatment tissue or in circulation had significantly better survival than the bottom two tertiles (p<0.04). Furthermore, a high number of shared TCR clones between pretreatment tissue and in circulation was associated with improved survival (p=0.01). To potentially select antitumor clusters, we filtered for clusters that were (1) not found in healthy controls, (2) recurrent in multiple patients with mesothelioma, and (3) more prevalent in post-treatment than pretreatment samples. The detection of two-specific TCR clusters provided significant survival benefit compared with detection of 1 cluster (HR<0.001, p=0.026) or the detection of no TCR clusters (HR=0.10, p=0.002). These two clusters were not found in bulk tissue RNA-seq data and have not been reported in public CDR3 databases. We identified two unique TCR clusters that were associated with survival on treatment with ICI in patients with pleural mesothelioma. These clusters may enable approaches for antigen discovery and inform future targets for design of adoptive T cell therapies.

Sections du résumé

BACKGROUND
Immune checkpoint inhibitors (ICIs) are now a first-line treatment option for patients with pleural mesothelioma with the recent approval of ipilimumab and nivolumab. Mesothelioma has a low tumor mutation burden and no robust predictors of survival with ICI. Since ICIs enable adaptive antitumor immune responses, we investigated T-cell receptor (TCR) associations with survival in participants from two clinical trials treated with ICI.
METHODS
We included patients with pleural mesothelioma who were treated with nivolumab (NivoMes, NCT02497508) or nivolumab and ipilimumab (INITIATE, NCT03048474) after first-line therapy. TCR sequencing was performed with the ImmunoSEQ assay in 49 and 39 pretreatment and post-treatment patient peripheral blood mononuclear cell (PBMC) samples. These data were integrated with TCR sequences found in bulk RNAseq data by TRUST4 program in 45 and 35 pretreatment and post-treatment tumor biopsy samples and TCR sequences from over 600 healthy controls. The TCR sequences were clustered into groups of shared antigen specificity using GIANA. Associations of TCR clusters with overall survival were determined by cox proportional hazard analysis.
RESULTS
We identified 4.2 million and 12 thousand complementarity-determining region 3 (CDR3) sequences from PBMCs and tumors, respectively, in patients treated with ICI. These CDR3 sequences were integrated with 2.1 million publically available CDR3 sequences from healthy controls and clustered. ICI-enhanced T-cell infiltration and expanded T cell diversity in tumors. Cases with TCR clones in the top tertile in the pretreatment tissue or in circulation had significantly better survival than the bottom two tertiles (p<0.04). Furthermore, a high number of shared TCR clones between pretreatment tissue and in circulation was associated with improved survival (p=0.01). To potentially select antitumor clusters, we filtered for clusters that were (1) not found in healthy controls, (2) recurrent in multiple patients with mesothelioma, and (3) more prevalent in post-treatment than pretreatment samples. The detection of two-specific TCR clusters provided significant survival benefit compared with detection of 1 cluster (HR<0.001, p=0.026) or the detection of no TCR clusters (HR=0.10, p=0.002). These two clusters were not found in bulk tissue RNA-seq data and have not been reported in public CDR3 databases.
CONCLUSIONS
We identified two unique TCR clusters that were associated with survival on treatment with ICI in patients with pleural mesothelioma. These clusters may enable approaches for antigen discovery and inform future targets for design of adoptive T cell therapies.

Identifiants

pubmed: 37279993
pii: jitc-2022-006035
doi: 10.1136/jitc-2022-006035
pmc: PMC10255162
pii:
doi:

Substances chimiques

Ipilimumab 0
Nivolumab 31YO63LBSN
Receptors, Antigen, T-Cell 0

Banques de données

ClinicalTrials.gov
['NCT02497508', 'NCT03048474']

Types de publication

Clinical Trial Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : P30 CA015083
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA251923
Pays : United States

Informations de copyright

© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: AM reports honoraria to his institution for participation in advisory boards from AbbVie, AstraZeneca, BeiGene, BMS, Genentech, Janssen; Travel support and honoraria from Shanghai Roche Pharmaceuticals, and is non-remunerated member of the Mesothelioma Applied Research Foundation and Friends of Patan Hospital Board of Directors.

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Auteurs

Aakash P Desai (AP)

Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota, USA.

Farhad Kosari (F)

Department of Molecular Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Maria Disselhorst (M)

Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Jun Yin (J)

Quantitative Health Sciences, Mayo Clinic Rochester, Rochester, Minnesota, USA.

Alireza Agahi (A)

Center for Individualized Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.

Tobias Peikert (T)

Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Julia Udell (J)

Center for Individualized Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.

Sarah H Johnson (SH)

Center for Individualized Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.

James Smadbeck (J)

Center for Individualized Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.

Stephen Murphy (S)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.

Giannoula Karagouga (G)

Center for Individualized Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.

Alexa McCune (A)

Center for Individualized Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.

Janet Schaefer-Klein (J)

Center for Individualized Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.

Mitesh J Borad (MJ)

Hematology/Medical Oncology, Mayo Clinic, Phoenix, Arizona, USA.

John Cheville (J)

Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.

George Vasmatzis (G)

Department of Molecular Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Paul Baas (P)

Department of Thoracic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands.

Aaron Mansfield (A)

Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota, USA Mansfield.Aaron@mayo.edu.

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