A distinct stimulatory cDC1 subpopulation amplifies CD8

Dendritic cells T cells anti-cancer immunity cancer immunotherapy convolutional neural networks deep learning immune evasion stem-like T cells tumor microenvironment

Journal

Cancer cell
ISSN: 1878-3686
Titre abrégé: Cancer Cell
Pays: United States
ID NLM: 101130617

Informations de publication

Date de publication:
14 08 2023
Historique:
received: 08 08 2022
revised: 28 04 2023
accepted: 22 06 2023
medline: 17 8 2023
pubmed: 15 7 2023
entrez: 14 7 2023
Statut: ppublish

Résumé

Type 1 conventional dendritic cells (cDC1) can support T cell responses within tumors but whether this determines protective versus ineffective anti-cancer immunity is poorly understood. Here, we use imaging-based deep learning to identify intratumoral cDC1-CD8

Identifiants

pubmed: 37451271
pii: S1535-6108(23)00218-0
doi: 10.1016/j.ccell.2023.06.008
pii:
doi:

Substances chimiques

Receptors, CCR7 0
Antigens, Neoplasm 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1498-1515.e10

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Philippa Meiser (P)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Moritz A Knolle (MA)

Institute for Artificial Intelligence in Medicine & Healthcare, School of Medicine, TUM, Munich, Germany; Institute for Diagnostic and Interventional Radiology, School of Medicine, TUM, Munich, Germany; Department of Computing, Imperial College London, London, UK.

Anna Hirschberger (A)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Gustavo P de Almeida (GP)

Institute of Animal Physiology and Immunology, School of Life Science, TUM, Freising, Germany; Institute of Virology, School of Medicine, TUM, Munich, Germany.

Felix Bayerl (F)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Sebastian Lacher (S)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Anna-Marie Pedde (AM)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Sophie Flommersfeld (S)

Institute for Medical Microbiology, Immunology and Hygiene, School of Medicine, TUM, Munich, Germany.

Julian Hönninger (J)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany; Institute for Medical Microbiology, Immunology and Hygiene, School of Medicine, TUM, Munich, Germany.

Leonhard Stark (L)

Department of Otolaryngology Head and Neck Surgery, School of Medicine, TUM, Munich, Germany.

Fabian Stögbauer (F)

Institute of Pathology, School of Medicine, TUM, Munich, Germany.

Martina Anton (M)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Markus Wirth (M)

Department of Otolaryngology Head and Neck Surgery, School of Medicine, TUM, Munich, Germany.

Dirk Wohlleber (D)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany.

Katja Steiger (K)

Institute of Pathology, School of Medicine, TUM, Munich, Germany; Comparative Experimental Pathology, School of Medicine, TUM, Munich, Germany; German Cancer Consortium, partner site Munich, Munich, Germany.

Veit R Buchholz (VR)

Institute for Medical Microbiology, Immunology and Hygiene, School of Medicine, TUM, Munich, Germany.

Barbara Wollenberg (B)

Department of Otolaryngology Head and Neck Surgery, School of Medicine, TUM, Munich, Germany.

Christina E Zielinski (CE)

Department of Infection Immunology, Leibniz Institute for Natural Product Research and Infection Biology, Hans-Knöll-Institute, Jena, Germany; Institute of Microbiology, Faculty of Biological Sciences, Friedrich Schiller University, Jena, Germany.

Rickmer Braren (R)

Institute for Diagnostic and Interventional Radiology, School of Medicine, TUM, Munich, Germany.

Daniel Rueckert (D)

Institute for Artificial Intelligence in Medicine & Healthcare, School of Medicine, TUM, Munich, Germany; Department of Computing, Imperial College London, London, UK; Chair for Artificial Intelligence in Medicine and Healthcare, School of Medicine and School of Computation, Information and Technology, Klinikum rechts der Isar, TUM, Munich, Germany.

Percy A Knolle (PA)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany; Institute of Molecular Immunology, School of Life Science, TUM, Freising, Germany; German Center for Infection Research, Munich site, Munich, Germany.

Georgios Kaissis (G)

Institute for Artificial Intelligence in Medicine & Healthcare, School of Medicine, TUM, Munich, Germany; Institute for Diagnostic and Interventional Radiology, School of Medicine, TUM, Munich, Germany; Department of Computing, Imperial College London, London, UK.

Jan P Böttcher (JP)

Institute of Molecular Immunology, School of Medicine, Technical University of Munich (TUM), Munich, Germany. Electronic address: j.boettcher@tum.de.

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Classifications MeSH