Preclinical Pharmacokinetics and Dosimetry of an

PET anti-PDL1 dosimetry pharmacokinetics preclinical zirconium-89

Journal

Frontiers in medicine
ISSN: 2296-858X
Titre abrégé: Front Med (Lausanne)
Pays: Switzerland
ID NLM: 101648047

Informations de publication

Date de publication:
2021
Historique:
received: 15 07 2021
accepted: 06 12 2021
entrez: 17 2 2022
pubmed: 18 2 2022
medline: 18 2 2022
Statut: epublish

Résumé

Anti-PDL1 is a monoclonal antibody targeting the programmed death-cell ligand (PD-L1) by blocking the programmed death-cell (PD-1)/PD-L1 axis. It restores the immune system response in several tumours, such as non-small cell lung cancer (NSCLC). Anti-PDL1 or anti-PD1 treatments rely on PD-L1 tumoural expression assessed by immunohistochemistry on biopsy tissue. However, depending on the biopsy extraction site, PD-L1 expression can vary greatly. Non-invasive imaging enables whole-body mapping of PD-L1 sites and could improve the assessment of tumoural PD-L1 expression. Pharmacokinetics (PK), biodistribution and dosimetry of a murine anti-PDL1 radiolabelled with zirconium-89, were evaluated in both healthy mice and immunocompetent mice with lung cancer. Preclinical PET (μPET) imaging was used to analyse [ Organ distribution was correctly estimated using PK modelling in both healthy mice and mice with lung cancer. Tumoural uptake occurred within 24 h post-injection of [ The predicted dosimetry was similar or lower than other antibodies radiolabelled with zirconium-89 for immunoPET imaging.

Identifiants

pubmed: 35174180
doi: 10.3389/fmed.2021.741855
pmc: PMC8841431
doi:

Types de publication

Journal Article

Langues

eng

Pagination

741855

Informations de copyright

Copyright © 2022 Krache, Fontan, Pestourie, Bardiès, Bouvet, Payoux, Chatelut, White-Koning and Salabert.

Déclaration de conflit d'intérêts

Employment: CF and YB are employees of General Electric-Zionexa laboratory. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Anis Krache (A)

CRCT, UMR 1037, Université de Toulouse, INSERM, Université Paul-Sabatier, Toulouse, France.
ToNIC, Toulouse NeuroImaging Center, UMR 1214, Université de Toulouse, INSERM, Université Paul-Sabatier, Toulouse, France.
General-Electric - Zionexa, Targeting Imaging and Therapy, Buc, France.

Charlotte Fontan (C)

General-Electric - Zionexa, Targeting Imaging and Therapy, Buc, France.

Carine Pestourie (C)

CREFRE (Centre Régional D'Exploration Fonctionnelle et Ressources Expérimentales) - INSERM UMS006, Plateforme GénoToul-Anexplo, Toulouse, France.
ENVT (Ecole Nationale Vétérinaire de Toulouse), Toulouse, France.

Manuel Bardiès (M)

IRCM (Institut de Recherche en Cancérologie de Montpellier), UMR 1194 INSERM, Université de Montpellier and ICM, Montpellier, France.
Département de Médecine Nucléaire, ICM (Institut du Cancer de Montpellier), Montpellier, France.

Yann Bouvet (Y)

General-Electric - Zionexa, Targeting Imaging and Therapy, Buc, France.

Pierre Payoux (P)

ToNIC, Toulouse NeuroImaging Center, UMR 1214, Université de Toulouse, INSERM, Université Paul-Sabatier, Toulouse, France.
Centre Hospitalo-Universitaire de Toulouse, Toulouse, France.

Etienne Chatelut (E)

CRCT, UMR 1037, Université de Toulouse, INSERM, Université Paul-Sabatier, Toulouse, France.

Melanie White-Koning (M)

CRCT, UMR 1037, Université de Toulouse, INSERM, Université Paul-Sabatier, Toulouse, France.

Anne-Sophie Salabert (AS)

ToNIC, Toulouse NeuroImaging Center, UMR 1214, Université de Toulouse, INSERM, Université Paul-Sabatier, Toulouse, France.
Centre Hospitalo-Universitaire de Toulouse, Toulouse, France.

Classifications MeSH