Targeting uPAR

uTREAT® is Curasight’s uPAR-targeted therapeutic development platform. It can encompass multiple ligands and distinct radionuclide-specific product candidates, including imaging and dosimetry constructs used specifically to enable therapeutic development. In the glioblastoma program, the current Phase 1 study uses 64Cu-DOTA-AE105 at imaging and dosimetry activity within uTREAT®, while a separate 177Lu product is intended for therapeutic dosing.

uTRACE® is Curasight’s uPAR-targeted imaging and diagnostic platform. Individual imaging agents within the platform are defined by their specific ligand, chelator, radionuclide and intended use. The accumulated uTRACE® evidence supports the broader uPAR strategy. The prostate cancer indication currently in phase 2 is licensed to Curium.

They share the same biological target, uPAR, and can draw on related ligand chemistry and human imaging evidence, but they are separate platforms. uTRACE® includes imaging and diagnostic agents, while uTREAT® includes therapeutic product candidates. A clinical program may use a uTRACE® imaging agent to inform development of a uTREAT® therapeutic product, but that does not make the products identical or require one-to-one pairing. uTRACE® will also be used as a target confirmation tool for selection of patients suited for uTREAT® therapy.

Glioblastoma is an aggressive cancer with high unmet need and published human imaging evidence showing uPAR-positive disease in grade 4 gliomas. Within the uTREAT® program, Curasight is using regional super-selective intra-arterial administration (SIACI) of 64Cu-DOTA-AE105 at imaging and dosimetry activity to measure tumor delivery, biodistribution and dosimetry before therapeutic dosing is introduced through a separate 177Lu product in a subsequent study.

Within the uTREAT® platform, Curasight is advancing a next-generation uPAR-targeting ligand for systemic radioligand therapy. The ligand architecture is designed to support separate radionuclide-specific (alpha or beta emitters) product candidates, where biology and dosimetry support them. Candidate selection is based on binding, stability, biodistribution, dosimetry and manufacturability.

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