PSMA-reactive NB7 single domain antibody fragment: A potential scaffold for developing prostate cancer theranostics.

(211)Astatine Nanobody Prostate cancer Prostate specific membrane antigen Single domain antibody fragment

Journal

Nuclear medicine and biology
ISSN: 1872-9614
Titre abrégé: Nucl Med Biol
Pays: United States
ID NLM: 9304420

Informations de publication

Date de publication:
25 Apr 2024
Historique:
received: 31 01 2024
revised: 29 03 2024
accepted: 22 04 2024
medline: 5 5 2024
pubmed: 5 5 2024
entrez: 4 5 2024
Statut: aheadofprint

Résumé

Single domain antibody fragments (sdAbs) are an appealing scaffold for radiopharmaceutical development due to their small size (~15 kDa), high solubility, high stability, and excellent tumor penetration. Previously, we developed NB7 sdAb, which has very high affinity for an epitope on PSMA that is different from those targeted by small molecule PSMA inhibitors. Herein, we evaluated NB7 after radioiodination using [*I]SGMIB (1,3,4-isomer) and iso-[*I]SGMIB (1,3,5-isomer), as well as their [*I]SGMIB, iso-[*I]SGMIB, [ All NB7 radioconjugates bound specifically to PSMA with dissociation constants, K NB7 radioconjugates exhibited good accumulation in PSMA-positive xenografts with rapid clearance from kidney and other normal tissues. We conclude that NB7 is a potentially useful scaffold for developing PSMA-targeted theranostics with different characteristics than current small molecule and antibody-based approaches.

Identifiants

pubmed: 38703588
pii: S0969-8051(24)00039-8
doi: 10.1016/j.nucmedbio.2024.108913
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

108913

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest LR and NP have filed a patent application that includes the NB7 single domain antibody fragment. The authors declare that they have no other known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Truc T Huynh (TT)

Duke University, Durham, NC 27710, USA.

Yutian Feng (Y)

Duke University, Durham, NC 27710, USA.

Rebecca Meshaw (R)

Duke University, Durham, NC 27710, USA.

Xiao-Guang Zhao (XG)

Duke University, Durham, NC 27710, USA.

Lior Rosenfeld (L)

Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Ganesan Vaidyanathan (G)

Duke University, Durham, NC 27710, USA.

Niv Papo (N)

Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Michael R Zalutsky (MR)

Duke University, Durham, NC 27710, USA. Electronic address: zalut001@mc.duke.edu.

Classifications MeSH