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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...

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Detalles Bibliográficos
Autores principales: Wu, Xiaoli, Meng, Xiaoqing, Chang, Tse-Shao, Feng, Shuo, Lee, Miki, Jaiswal, Sangeeta, Choi, Eun-Young K., Tran, Lam, Jiang, Hui, Wang, Thomas D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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
Descripción
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.