The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Passive targeting of nanoparticles to cancer: A comprehensive review of the literature
Open accessAbstract
Cancer remains the one of the most common causes of mortality in humans; thus, cancer treatment is currently a major focus of investigation. Researchers worldwide have been searching for the optimal treatment (the 'magic bullet') that will selectively target cancer, without afflicting significant morbidity. Recent advances in cancer nanotechnology have raised exciting opportunities for specific drug delivery by an emerging class of nanotherapeutics that may be targeted to neoplastic cells, thereby offering a major advantage over conventional chemotherapeutic agents. There are two ways by which targeting of nanoparticles may be achieved, namely passive and active targeting. The aim of this study was to provide a comprehensive review of the literature focusing on passive targeting.
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Cites
Matsumura, Y., & Maeda, H. (1986) · PubMed · Cited by 6,781
Fang, J., Nakamura, H., & Maeda, H. (2011) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2010.04.009 · Cited by 3,559
Long-Circulating and Target-Specific Nanoparticles: Theory to Practice
Moghimi, S. M., Hunter, A. C., & Murray, J. C. (2001) · Pharmacological Reviews · doi:10.1016/s0031-6997(24)01494-7 · Cited by 3,515
Therapeutic Nanoparticles for Drug Delivery in Cancer
Cho, K., Wang, X., Nie, S., Chen, Z. (., & Shin, D. M. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-1441 · Cited by 2,920
Nanoparticle-based targeted drug delivery
Singh, R., & Lillard, J. W. (2009) · Experimental and Molecular Pathology · doi:10.1016/j.yexmp.2008.12.004 · Cited by 2,734
Maeda, H. (2001) · Advances in Enzyme Regulation · doi:10.1016/s0065-2571(00)00013-3 · Cited by 2,495
Exploiting the enhanced permeability and retention effect for tumor targeting
Iyer, A. K., Khaled, G., Fang, J., & Maeda, H. (2006) · Drug Discovery Today · doi:10.1016/j.drudis.2006.07.005 · Cited by 1,846
Active targeting schemes for nanoparticle systems in cancer therapeutics
Byrne, J. D., Betancourt, T., & Brannon-Peppas, L. (2008) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2008.08.005 · Cited by 1,731
Changing views of the role of matrix metalloproteinases in metastasis
Chambers, A. F., & Matrisian, L. M. (1997) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/89.17.1260 · Cited by 1,588
Papapetropoulos, A., García-Cardeña, G., Madri, J. A., & Sessa, W. C. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119868 · Cited by 1,191
Cited by
Poly(2-oxazoline)s based biomaterials: a comprehensive and critical update
Lorson, T., Lübtow, M. M., Wegener, E., Haider, M. S., Borova, S., Nahm, D., Jordan, R., Sokolski-Papkov, M., Kabanov, A. V., & Luxenhofer, R. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.05.022 · Cited by 391
Chitosan-Based Nanoparticles of Targeted Drug Delivery System in Breast Cancer Treatment
Herdiana, Y., Wathoni, N., Shamsuddin, S., Joni, I. M., & Muchtaridi, M. (2021) · Polymers · doi:10.3390/polym13111717 · Cited by 196
Tumor target amplification: Implications for nano drug delivery systems
Seidi, K., Neubauer, H. A., Moriggl, R., Jahanban-Esfahlan, R., & Javaheri, T. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2018.02.020 · Cited by 145
Aram, E., Moeni, M., Abedizadeh, R., Sabour, D., Sadeghi-Abandansari, H., Gardy, J., & Hassanpour, A. (2022) · Nanomaterials · doi:10.3390/nano12203567 · Cited by 66
Metadata
- Authors
- BAZAK, R., HOURI, M., ACHY, S. E., HUSSEIN, W., & REFAAT, T.
- Venue
- Molecular and Clinical Oncology
- Publisher
- Spandidos Publications
- Published
- 2014-07-23
- Volume
- 2
- Issue
- 6
- Pages
- 904-908
- ISSN
- 2049-9450 (ISSN-L)
- 2049-9469
- OpenAlex
- W2105553762
- Cited by
- 435
- References
- 48
- FWCI
- 2.92
- Type
- journal article
- Language
- en
- Open access
- diamond
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- The paper
- BAZAK, R., HOURI, M., ACHY, S. E., HUSSEIN, W., & REFAAT, T. (2014). Passive targeting of nanoparticles to cancer: A comprehensive review of the literature. Molecular and Clinical Oncology. https://doi.org/10.3892/mco.2014.356
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.