Single-Domain Antibody Nuclear Imaging Allows Noninvasive Quantification of LAG-3 Expression by Tumor-Infiltrating Leukocytes and Predicts Response of Immune Checkpoint Blockade.

LAG-3 Nanobody cancer immune checkpoint nuclear imaging single domain antibody

Journal

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
ISSN: 1535-5667
Titre abrégé: J Nucl Med
Pays: United States
ID NLM: 0217410

Informations de publication

Date de publication:
11 2021
Historique:
received: 20 10 2020
accepted: 03 02 2021
pubmed: 14 3 2021
medline: 6 1 2022
entrez: 13 3 2021
Statut: ppublish

Résumé

Recent advances in the field of immune-oncology led to the discovery of next-generation immune checkpoints (ICPs). Lymphocyte activation gene-3 (LAG-3), being the most widely studied among them, is being explored as a target for the treatment of cancer patients. Several antagonistic anti-LAG-3 antibodies are being developed and are prime candidates for clinical application. Furthermore, validated therapies targeting cytotoxic T-lymphocyte-associated protein-4, programmed cell-death protein-1, or programmed cell-death ligand-1 showed that only subsets of patients respond. This finding highlights the need for better tools for patient selection and monitoring. The potential of molecular imaging to detect ICPs noninvasively in cancer is supported by several preclinical and clinical studies. Here, we report on a single-domain antibody to evaluate whole-body LAG-3 expression in various syngeneic mouse cancer models using nuclear imaging.

Identifiants

pubmed: 33712537
pii: jnumed.120.258871
doi: 10.2967/jnumed.120.258871
pmc: PMC8612328
doi:

Substances chimiques

Programmed Cell Death 1 Receptor 0
Single-Domain Antibodies 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1638-1644

Informations de copyright

© 2021 by the Society of Nuclear Medicine and Molecular Imaging.

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Auteurs

Quentin Lecocq (Q)

Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium.

Robin Maximilian Awad (RM)

Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium.

Yannick De Vlaeminck (Y)

Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium.

Wout de Mey (W)

Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium.

Thomas Ertveldt (T)

Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium.

Cleo Goyvaerts (C)

Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium.

Geert Raes (G)

Myeloid Cell Immunology Lab, VIB Center for Inflammation Research, Brussels, Belgium.
Unit of Cellular and Molecular Immunology, Vrije Universiteit Brussel, Brussels, Belgium.

Kris Thielemans (K)

Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium.

Marleen Keyaerts (M)

In Vivo Cellular and Molecular Imaging Laboratory, Vrije Universiteit Brussel, Brussels, Belgium; and.
Nuclear Medicine Department, UZ Brussel, Brussels, Belgium.

Nick Devoogdt (N)

In Vivo Cellular and Molecular Imaging Laboratory, Vrije Universiteit Brussel, Brussels, Belgium; and nick.devoogdt@vub.be karine.breckpot@vub.be.

Karine Breckpot (K)

Laboratory for Molecular and Cellular Therapy, Vrije Universiteit Brussel, Brussels, Belgium.

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Classifications MeSH