Metabolic labelling of cancer cells with glycodendrimers stimulate immune-mediated cytotoxicity.


Journal

RSC medicinal chemistry
ISSN: 2632-8682
Titre abrégé: RSC Med Chem
Pays: England
ID NLM: 101759460

Informations de publication

Date de publication:
27 Jan 2022
Historique:
received: 05 08 2021
accepted: 03 11 2021
entrez: 25 2 2022
pubmed: 26 2 2022
medline: 26 2 2022
Statut: epublish

Résumé

The recruitment of antibody naturally present in human blood stream at the surface of cancer cells have been proved a promising immunotherapeutic strategy to fight cancer. Antibody recruiting molecules (ARMs) combining tumor and antibody binding modules have been developed for this purpose, however the formation of the interacting complex with both antibody and cell is difficult to optimize to stimulate immune-mediated cytotoxicity. To circumvent this limitation, we report herein a more direct approach combining cell metabolism of azido-sugar and bio-orthogonal click chemistry to conjugate at the cell glycocalyx structurally well-defined glycodendrimers as antibody binding module (ABM). We demonstrate that this strategy allows not only the recruitment of natural antibody at the surface of isolated cells or solid tumor models but also activate a cytotoxic response with human serum as unique source of immune effectors.

Identifiants

pubmed: 35211675
doi: 10.1039/d1md00262g
pii: d1md00262g
pmc: PMC8792828
doi:

Types de publication

Journal Article

Langues

eng

Pagination

72-78

Informations de copyright

This journal is © The Royal Society of Chemistry.

Déclaration de conflit d'intérêts

There are no conflicts to declare.

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Auteurs

David Goyard (D)

Univ. Grenoble Alpes, CNRS DCM UMR 5250 F-38000 Grenoble France nathalie.berthet@univ-grenoble-alpes.fr.

Peremobowei Iyanu Diriwari (PI)

Univ. Grenoble Alpes, CNRS DCM UMR 5250 F-38000 Grenoble France nathalie.berthet@univ-grenoble-alpes.fr.

Nathalie Berthet (N)

Univ. Grenoble Alpes, CNRS DCM UMR 5250 F-38000 Grenoble France nathalie.berthet@univ-grenoble-alpes.fr.

Classifications MeSH