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Cited by 469

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Liposome-based drug delivery in breast cancer treatment

Open access
Park, John W·2002·Breast Cancer Research

Abstract

Drug delivery systems can in principle provide enhanced efficacy and/or reduced toxicity for anticancer agents. Long circulating macromolecular carriers such as liposomes can exploit the 'enhanced permeability and retention' effect for preferential extravasation from tumor vessels. Liposomal anthracyclines have achieved highly efficient drug encapsulation, resulting in significant anticancer activity with reduced cardiotoxicity, and include versions with greatly prolonged circulation such as liposomal daunorubicin and pegylated liposomal doxorubicin. Pegylated liposomal doxorubucin has shown substantial efficacy in breast cancer treatment both as monotherapy and in combination with other chemotherapeutics. Additional liposome constructs are being developed for the delivery of other drugs. The next generation of delivery systems will include true molecular targeting; immunoliposomes and other ligand-directed constructs represent an integration of biological components capable of tumor recognition with delivery technologies.

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Crossref · 10.1186/bcr432

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Metadata

Authors
Park, J. W.
Venue
Breast Cancer Research
Published
2002-06
Volume
4
Issue
3
Pages
95-9
ISSN
  • 1465-5411 (ISSN-L)
  • 1465-542X
OpenAlex
W1492185019
Cited by
469
References
19
FWCI
5.95
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Liposome-based drug delivery in breast cancer treatment. https://app.cochat.ai/papers/10.1186/bcr432
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Park, J. W. (2002). Liposome-based drug delivery in breast cancer treatment. Breast Cancer Research. https://doi.org/10.1186/bcr432

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.