Homomultimeric FAP Inhibitor-Based Radioligands for Cancer Theranostics: Design Principles, Structure-Function

Zhiyang Wu1, Eleni Gourni2, Sanjana Ballal3

  • 1SCV Spezial-Chemikalien-Vertrieb GmbH, 10243 Berlin, Germany.

Insights

Homomultimeric fibroblast activation protein inhibitors (FAPI) ligands enhance tumor retention and therapeutic efficacy in cancer theranostics compared to single-molecule FAPIs. These multimeric FAPIs show promise for personalized cancer management.

Area of Science:

  • Oncology
  • Radiochemistry
  • Molecular Imaging

Background:

  • Fibroblast activation protein (FAP) is overexpressed in cancer-associated fibroblasts (CAFs) within the tumor stroma, making it a target for cancer radiotheranostics.
  • Monomeric FAP inhibitors (FAPIs) have diagnostic utility but limited therapeutic application due to short tumor retention and heterogeneous uptake.

Purpose of the Study:

  • To review the development and clinical implementation of homomultimeric FAPI ligands for improved cancer theranostics.
  • To highlight the advantages of multimeric FAPI constructs over monomers in enhancing tumor targeting and retention.

Main Methods:

  • Comprehensive review of molecular design, preclinical validation, and early clinical studies of homomultimeric FAPI ligands.
  • Analysis of the impact of linker chemistry, valency, and scaffold architecture on FAPI pharmacokinetics and targeting efficiency.

Main Results:

  • Dimeric and multimeric FAPI ligands demonstrate enhanced tumor retention and therapeutic efficacy compared to monomers.
  • Preclinical studies show superior tumor-to-background ratios with optimized dimers/trimers; excessive multimerization can reduce efficacy.
  • Early clinical data confirm prolonged tumor retention, therapeutic responses, and a favorable safety profile for specific multimeric FAPI agents in advanced cancers.

Conclusions:

  • Homomultimeric FAPI ligands represent a significant advancement in FAP-targeted theranostics.
  • These ligands offer a promising platform for personalized cancer management.
  • Further research is needed to address translational challenges, including improved preclinical models and standardized clinical protocols.

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