Fibroblast activation protein-targeted radionuclide therapy: background, opportunities, and challenges of first (pre)clinical studies

成纤维细胞活化蛋白靶向放射性核素治疗:首次(临床前)研究的背景、机遇和挑战

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Abstract

INTRODUCTION: Fibroblast activation protein (FAP) is highly overexpressed in stromal tissue of various cancers. While FAP has been recognized as a potential diagnostic or therapeutic cancer target for decades, the surge of radiolabeled FAP-targeting molecules has the potential to revolutionize its perspective. It is presently hypothesized that FAP targeted radioligand therapy (TRT) may become a novel treatment for various types of cancer. To date, several preclinical and case series have been reported on FAP TRT using varying compounds and showing effective and tolerant results in advanced cancer patients. Here, we review the current (pre)clinical data on FAP TRT and discuss its perspective towards broader clinical implementation.  METHODS: A PubMed search was performed to identify all FAP tracers used for TRT. Both preclinical and clinical studies were included if they reported on dosimetry, treatment response or adverse events. The last search was performed on July 22 2022. In addition, a database search was performed on clinical trial registries (date 15(th) of July 2022) to search for prospective trials on FAP TRT. RESULTS: In total, 35 papers were identified that were related to FAP TRT. This resulted in the inclusion of the following tracers for review: FAPI-04, FAPI-46, FAP-2286, SA.FAP, ND-bisFAPI, PNT6555, TEFAPI-06/07, FAPI-C12/C16, and FSDD. CONCLUSION: To date, data was reported on more than 100 patients that were treated with different FAP targeted radionuclide therapies such as [(177)Lu]Lu-FAPI-04, [(90)Y]Y-FAPI-46, [(177)Lu]Lu-FAP-2286, [(177)Lu]Lu-DOTA.SA.FAPI and [(177)Lu]Lu-DOTAGA.(SA.FAPi)(2). In these studies, FAP targeted radionuclide therapy has resulted in objective responses in difficult to treat end stage cancer patients with manageable adverse events. Although no prospective data is yet available, these early data encourages further research.

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