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Multi-modal imaging for uptake of peptide ligand specific for CD44 by hepatocellular carcinoma
BACKGROUND: Hepatocellular carcinoma (HCC) is rising steadily in incidence, and more effective methods are needed for early cancer detection and image-guided surgery. METHODS: We used a structural model to optimize the peptide sequence. Specific binding was validated in vitro with knockdown, competi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9035732/ https://www.ncbi.nlm.nih.gov/pubmed/35479192 http://dx.doi.org/10.1016/j.pacs.2022.100355 |
Sumario: | BACKGROUND: Hepatocellular carcinoma (HCC) is rising steadily in incidence, and more effective methods are needed for early cancer detection and image-guided surgery. METHODS: We used a structural model to optimize the peptide sequence. Specific binding was validated in vitro with knockdown, competition, and co-localization assays. Multi-modal imaging was performed to validate specific binding in vivo in orthotopically-implanted human xenograft tumors. RESULTS: Binding properties of WKGWSYLWTQQA were characterized by an apparent dissociation constant of k(d) = 43 nM, and an apparent association time constant of k = 0.26 min(−1). The target-to-background ratio was significantly higher for the target versus control for both modalities. Ex-vivo evaluation using human HCC specimens supported the ability of the peptide to distinguish HCC from other liver pathologies. CONCLUSIONS: We have identified a peptide specific for CD44 with properties that are promising for clinical translation to image HCC in vivo. |
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