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Optimization of (177)Lu-labelling of DOTA-TOC, PSMA-I&T and FAPI-46 for clinical application

BACKGROUND: (177)Lu-radiopharmaceuticals are routinely used for the treatment of various tumor entities. The productions of radiopharmaceuticals follow strict good-manufacturing practice guidelines and synthesis optimizations thereof have a strong impact on e.g. the quality of the product, radiation...

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Autores principales: Cankaya, Aylin, Balzer, Matthias, Amthauer, Holger, Brenner, Winfried, Spreckelmeyer, Sarah
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219910/
https://www.ncbi.nlm.nih.gov/pubmed/37233924
http://dx.doi.org/10.1186/s41181-023-00196-1
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author Cankaya, Aylin
Balzer, Matthias
Amthauer, Holger
Brenner, Winfried
Spreckelmeyer, Sarah
author_facet Cankaya, Aylin
Balzer, Matthias
Amthauer, Holger
Brenner, Winfried
Spreckelmeyer, Sarah
author_sort Cankaya, Aylin
collection PubMed
description BACKGROUND: (177)Lu-radiopharmaceuticals are routinely used for the treatment of various tumor entities. The productions of radiopharmaceuticals follow strict good-manufacturing practice guidelines and synthesis optimizations thereof have a strong impact on e.g. the quality of the product, radiation safety and costs. The purpose of this study is to optimize the precursor load of three radiopharmaceuticals. For that, different precursor loads were evaluated and compared to previously reported findings. RESULTS: All three radiopharmaceuticals were successfully synthesized in high radiochemical purities and yields on the ML Eazy. The precursor load was optimized for [(177)Lu]Lu-FAPI-46 from 27.0 to 9.7 µg/GBq, for [(177)Lu]Lu-DOTATOC from 11 to 10 µg/GBq and for [(177)Lu]Lu-PSMA-I&T from 16.3 to 11.6 µg/GBq. CONCLUSIONS: We successfully reduced the precursor load for all three radiopharmaceuticals while maintaining their quality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41181-023-00196-1.
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spelling pubmed-102199102023-05-28 Optimization of (177)Lu-labelling of DOTA-TOC, PSMA-I&T and FAPI-46 for clinical application Cankaya, Aylin Balzer, Matthias Amthauer, Holger Brenner, Winfried Spreckelmeyer, Sarah EJNMMI Radiopharm Chem Research Article BACKGROUND: (177)Lu-radiopharmaceuticals are routinely used for the treatment of various tumor entities. The productions of radiopharmaceuticals follow strict good-manufacturing practice guidelines and synthesis optimizations thereof have a strong impact on e.g. the quality of the product, radiation safety and costs. The purpose of this study is to optimize the precursor load of three radiopharmaceuticals. For that, different precursor loads were evaluated and compared to previously reported findings. RESULTS: All three radiopharmaceuticals were successfully synthesized in high radiochemical purities and yields on the ML Eazy. The precursor load was optimized for [(177)Lu]Lu-FAPI-46 from 27.0 to 9.7 µg/GBq, for [(177)Lu]Lu-DOTATOC from 11 to 10 µg/GBq and for [(177)Lu]Lu-PSMA-I&T from 16.3 to 11.6 µg/GBq. CONCLUSIONS: We successfully reduced the precursor load for all three radiopharmaceuticals while maintaining their quality. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s41181-023-00196-1. Springer International Publishing 2023-05-26 /pmc/articles/PMC10219910/ /pubmed/37233924 http://dx.doi.org/10.1186/s41181-023-00196-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Cankaya, Aylin
Balzer, Matthias
Amthauer, Holger
Brenner, Winfried
Spreckelmeyer, Sarah
Optimization of (177)Lu-labelling of DOTA-TOC, PSMA-I&T and FAPI-46 for clinical application
title Optimization of (177)Lu-labelling of DOTA-TOC, PSMA-I&T and FAPI-46 for clinical application
title_full Optimization of (177)Lu-labelling of DOTA-TOC, PSMA-I&T and FAPI-46 for clinical application
title_fullStr Optimization of (177)Lu-labelling of DOTA-TOC, PSMA-I&T and FAPI-46 for clinical application
title_full_unstemmed Optimization of (177)Lu-labelling of DOTA-TOC, PSMA-I&T and FAPI-46 for clinical application
title_short Optimization of (177)Lu-labelling of DOTA-TOC, PSMA-I&T and FAPI-46 for clinical application
title_sort optimization of (177)lu-labelling of dota-toc, psma-i&t and fapi-46 for clinical application
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219910/
https://www.ncbi.nlm.nih.gov/pubmed/37233924
http://dx.doi.org/10.1186/s41181-023-00196-1
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