Key Features Relevant to Select Antigens and TCR From the MHC-Mismatched Repertoire to Treat Cancer.

T-cell receptor (TCR) TCR cell therapy TCR characterization TCR identification adoptive T-cell transfer therapy peptide-MHC modeling (p-MHC modeling) target antigen characterization trimolecular complex (TCR-p-MHC)

Journal

Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960

Informations de publication

Date de publication:
2019
Historique:
received: 27 11 2018
accepted: 13 06 2019
entrez: 19 7 2019
pubmed: 19 7 2019
medline: 22 10 2020
Statut: epublish

Résumé

Adoptive transfer of T cells transgenic for tumor-reactive T-cell receptors (TCR) is an attractive immunotherapeutic approach. However, clinical translation is so far limited due to challenges in the identification of suitable target antigens as well as TCRs that are concurrent safe and efficient. Definition of key characteristics relevant for effective and specific tumor rejection is essential to improve current TCR-based adoptive T-cell immunotherapies. We here characterized in-depth two TCRs derived from the human leukocyte antigen (HLA)-mismatched allogeneic repertoire targeting two different myeloperoxidase (MPO)-derived peptides presented by the same HLA-restriction element side by side comprising state of the art biochemical and cellular

Identifiants

pubmed: 31316521
doi: 10.3389/fimmu.2019.01485
pmc: PMC6611213
doi:

Substances chimiques

Cytokines 0
HLA Antigens 0
Peptides 0
Receptors, Antigen, T-Cell 0
Peroxidase EC 1.11.1.7

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1485

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Auteurs

Stefan Audehm (S)

Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.

Manuel Glaser (M)

Center for Integrated Protein Science at the Department for Biosciences, Technische Universität München, Freising, Germany.

Matteo Pecoraro (M)

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.

Eva Bräunlein (E)

Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.

Sabine Mall (S)

Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.

Richard Klar (R)

Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.

Manuel Effenberger (M)

Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany.

Julian Albers (J)

Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.

Henrique de Oliveira Bianchi (HO)

Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.

Janet Peper (J)

Eberhard Karls University Tübingen, Interfaculty Institute for Cell Biology, Tübingen, Germany.

Nahid Yusufi (N)

Nuklearmedizin, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.

Dirk H Busch (DH)

Institut für Medizinische Mikrobiologie, Immunologie und Hygiene, Technische Universität München, Munich, Germany.

Stefan Stevanović (S)

Eberhard Karls University Tübingen, Interfaculty Institute for Cell Biology, Tübingen, Germany.
Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany.

Matthias Mann (M)

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.

Iris Antes (I)

Center for Integrated Protein Science at the Department for Biosciences, Technische Universität München, Freising, Germany.

Angela M Krackhardt (AM)

Klinik und Poliklinik für Innere Medizin III, Klinikum rechts der Isar, Technische Universität München, Munich, Germany.
Partner Site Munich, German Cancer Consortium (DKTK), Munich, Germany.
German Cancer Research Center (DKFZ), Heidelberg, Germany.

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Classifications MeSH