Journal
BIOMATERIALS
Volume 280, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.biomaterials.2021.121314
Keywords
Nanosome; Exosome; Glycocalyx; Cancer metastasis; Organotropism
Funding
- JSPS KAKENHI [25220206, 19H00918]
- Cabinet Office of Japan Government for the Public/Private R&D investment Strategic Expansion PrograM (PRISM)
- Grants-in-Aid for Scientific Research [19H00918] Funding Source: KAKEN
Ask authors/readers for more resources
This study presents a novel method for predicting and targeting pre-metastatic sites using fluorescent cancer glyconanosomes. The in vivo imaging revealed that the distribution of cancer glyconanosomes in mice depends strongly on cancer cell-type-specific N-glycosylation patterns. Furthermore, the study demonstrated that artificial reproduction of organ biodistribution can be achieved by mimicking cancer cell-specific glycosylation patterns.
Despite emerging importance of tumor cells-derived exosomes in cancer metastasis, the heterogeneity of exosome populations has largely hampered systemic characterization of their molecular composition, biogenesis, and functions. This study communicates a novel method for predicting and targeting pre-metastatic sites based on an exosome model fluorescent cancer glyconanosomes displaying N-glycans of cultured tumor cells. Glycoblotting by antiadhesive quantum dots provides a nice tool to shed light on the pivotal functions of the glycocalyx reconstructed from four cancer cell types without bias due to other compositions of exosomes. In vivo imaging revealed that circulation, clearance, and organotropic biodistribution of cancer glyconanosomes in mice depend strongly on cancer cell-type-specific N-glycosylation patterns, the compositions of key glycotypes, particularly dominant abundances of high mannose-type N-glycans and the position-specific sialylation. Notably, organ biodistribution of cancer glyconanosomes is reproducible artificially by mimicking cancer cell-typespecific N-glycosylation patterns, demonstrating that nanosomal glycoblotting method serves as promising tools for predicting and targeting pre-metastatic sites determined by the glycocalyx of extracellular vesicles disseminated from the primary cancer site.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available