Shows improved tumor imaging using LRRC15-binding peptides in a murine model, indicating potential advancements in cancer diagnostics.
Leucine-rich-repeat-containing protein 15 (LRRC15) is selectively expressed on cancer-associated fibroblasts (CAFs) and constitutes a promising biomarker for imaging the tumor microenvironment. Using a combinatorial library approach, assisted by machine learning, we developed disulfide-constrained peptides (DCPs), notably ML-YSD-07 and ML-PD-03, that demonstrate subnanomolar affinities for murine LRRC15 (muLRRC15) and specifically localize onto muLRRC15-expressing fibroblasts. PET imaging with 18F-radiolabeled ML-YSD-07 exhibits specific tumor accumulation in a murine pancreatic cancer model highly enriched with LRRC15-expressing CAFs. Crystal structures of apo-muLRRC15 and of ML-YSD-07-bound muLRRC15 show that the DCPs evolved to adopt a distinct binding conformation that efficiently interacts with a flat epitope on muLRRC15. Collectively, this work identifies potent, molecularly engineered LRRC15-binding peptides and further highlights LRRC15 as a valuable CAF biomarker for cancer imaging applications. In this work, combinatorial library-derived peptides are engineered to tightly bind to LRRC15, a marker on cancer-associated fibroblasts. In mice, an isotope-labeled peptide enables PET imaging of LRRC15-rich tumors, highlighting an alternative strategy for tumor imaging.
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Tombling et al. (2026) studied this question.
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