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Cited by 190

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Liposomal Blockade of the Reticuloendothelial System: Improved Tumor Imaging with Small Unilamellar Vesicles

Proffitt, Richard T., Williams, Lawrence E., Presant, Cary A., Tin, George W., Uliana, Joseph A., Gamble, Ronald C., Baldeschwieler, John D.·1983·Science

Abstract

The reticuloendothelial system of mice bearing EMT6 tumors was effectively blocked by intravenous injections of small unilamellar vesicles that incorporated a 6-aminomannose derivative of cholesterol in the lipid bilayer. Neutral liposomes loaded with indium-111-nitrilotriacetic acid were then injected. Fifty percent more radioactivity was deposited in tumors of the animals with blocked reticuloendothelial systems than in controls. Twenty-four hours after the injection of radioactive vesicles, well-defined tumor images were observed in whole-body gamma camera scintigraphs. Biodistribution studies showed that tumors from animals with blocked reticuloendothelial systems had more than twice the radioactivity per gram than any other tissue analyzed.

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Metadata

Authors
Proffitt, R. T., Williams, L. E., Presant, C. A., Tin, G. W., Uliana, J. A., Gamble, R. C., & Baldeschwieler, J. D.
Venue
Science
Published
1983-04-29
Volume
220
Issue
4596
Pages
502-505
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2010587003
Cited by
190
References
0
FWCI
11.46
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Liposomal Blockade of the Reticuloendothelial System: Improved Tumor Imaging with Small Unilamellar Vesicles. https://app.cochat.ai/papers/10.1126/science.6836294
The paper
Proffitt, R. T., Williams, L. E., Presant, C. A., Tin, G. W., Uliana, J. A., Gamble, R. C., & Baldeschwieler, J. D. (1983). Liposomal Blockade of the Reticuloendothelial System: Improved Tumor Imaging with Small Unilamellar Vesicles. Science. https://doi.org/10.1126/science.6836294

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.