The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Targeted drug delivery to tumors: Myths, reality and possibility
Open accessAbstract
The ultimate goal of drug delivery research is to help patients by developing clinically useful formulations. During the last several decades controlled drug delivery technology has advanced significantly, leading to the development of various clinical formulations improving patient compliance and convenience [1]. Current technologies allow delivery of drugs at desired release kinetics for extended periods of time ranging from days to years. Oral and transdermal drug delivery systems routinely deliver drugs for 24 h, substantially improving drug efficacy and minimizing side effects. Implantable systems can locally deliver drugs for months, even years. While significant advances have been made, there are still areas where substantial improvements need to be made to reach the next level of clinical relevance. One such area is targeted drug delivery to solid tumors. The clinically significant impact of targeted drug delivery lies in the ability to specifically target a drug or drug carrier to minimize drug-originated systemic toxic effects. Successful translation (from bench to bedside) of potential cancer and gene therapies, particularly small interfering RNA (siRNA) delivery, will largely depend on targeted drug delivery strategies. Overcoming the many challenges of identifying a successful targeted drug delivery strategy requires an understanding of events involving transport of drug or drug carrier to a target site after intravenous (i.v.) administration as well as issues relevant for specific target diseases and the body’s response toward a drug delivery system. The current lack of clear recognition of problems facing the drug delivery field can be anticipated to result in only marginal advances in targeted drug delivery technologies in the coming years. The current unmet needs and challenges in this area were summarized by Professor Alexander T. Florence who is one of the few who raised awareness on the exaggerated claims of the nanoparticle-based drug targeting [2,3]. They need to be better appreciated and understood for achieving greater success in drug targeting to tumors. Thus, it would be profitable to address a variety of issues and factors that could affect the development of improved targeted drug delivery systems. Many terms have been used to describe nano-sized drug delivery systems, and here the term “nanoparticle” is used to represent a spectrum of systems, including nanocarrier, nanovehicle, nanosystem, nanostructure, and other terms used in the literature.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Roth, B. L., Sheffler, D. J., & Kroeze, W. K. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1346 · Cited by 1,155
PEGylated PLGA nanoparticles as protein carriers: Synthesis, preparation and biodistribution in rats
Li, Y.-P., Pei, Y.-Y., Zhang, X.-Y., Gu, Z.-H., Zhou, Z.-H., Yuan, W.-F., Zhou, J.-J., Zhu, J.-H., & Gao, X.-J. (2001) · Journal of Controlled Release · doi:10.1016/s0168-3659(01)00218-8 · Cited by 540
Chen, H., Kim, S., Li, L., Wang, S., Park, K., & Cheng, J.-X. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0707046105 · Cited by 394
Self-citationJain, R. K., Safabakhsh, N., Sckell, A., Chen, Y., Jiang, P., Benjamin, L., Yuan, F., & Keshet, E. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.18.10820 · Cited by 374
Lee, H., Fonge, H., Hoang, B., Reilly, R. M., & Allen, C. (2010) · Molecular Pharmaceutics · doi:10.1021/mp100038h · Cited by 349
Mikhail, A. S., & Allen, C. (2009) · Journal of Controlled Release · doi:10.1016/j.jconrel.2009.04.010 · Cited by 328
Chen, H., Kim, S., He, W., Wang, H., Low, P. S., Park, K., & Cheng, J.-X. (2008) · Langmuir · doi:10.1021/la703570m · Cited by 311
Self-citationPolymeric Nanoparticles and Nanopore Membranes for Controlled Drug and Gene Delivery
Guan, J., He, H., Yu, B., & Lee, L. J. (2007) · Biomedical Nanostructures · doi:10.1002/9780470185834.ch6 · Cited by 11 · cited 1×
“Since long-term circulation in blood is important for targeted drug delivery and sustained release [38], studies using nanoparticles with narrow size distribution will be critical for optimizing desired biodistribution parameters.”
Cited by
Analysis of nanoparticle delivery to tumours
Wilhelm, S., Tavares, A. J., Dai, Q., Ohta, S., Audet, J., Dvorak, H. F., & Chan, W. C. W. (2016) · Nature Reviews Materials · doi:10.1038/natrevmats.2016.14 · Cited by 5,218
Wiklander, O. P. B., Nordin, J. Z., O'Loughlin, A., Gustafsson, Y., Corso, G., Mäger, I., Vader, P., Lee, Y., Sork, H., Seow, Y., et al. (2015) · Journal of Extracellular Vesicles · doi:10.3402/jev.v4.26316 · Cited by 1,730
Drug targeting to tumors: Principles, pitfalls and (pre-) clinical progress
Lammers, T., Kiessling, F., Hennink, W. E., & Storm, G. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2011.09.063 · Cited by 1,324
Smart nanocarrier-based drug delivery systems for cancer therapy and toxicity studies: A review
Hossen, S., Hossain, M. K., Basher, M. K., Mia, M. N. H., Rahman, M. T., & Uddin, M. J. (2019) · Journal of Advanced Research · doi:10.1016/j.jare.2018.06.005 · Cited by 998
Overcoming the Blood–Brain Barrier: The Role of Nanomaterials in Treating Neurological Diseases
Furtado, D., Björnmalm, M., Ayton, S., Bush, A. I., Kempe, K., & Caruso, F. (2018) · Advanced Materials · doi:10.1002/adma.201801362 · Cited by 708
Metadata
- Authors
- Bae, Y. H., & Park, K.
- Venue
- Journal of Controlled Release
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 153
- Issue
- 3
- Pages
- 198-205
- ISSN
- 0168-3659 (ISSN-L)
- OpenAlex
- W2070003597
- Cited by
- 1,935
- References
- 9
- FWCI
- 31.11
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Targeted drug delivery to tumors: Myths, reality and possibility. https://app.cochat.ai/papers/10.1016/j.jconrel.2011.06.001
- The paper
- Bae, Y. H., & Park, K. (2011). Targeted drug delivery to tumors: Myths, reality and possibility. Journal of Controlled Release. https://doi.org/10.1016/j.jconrel.2011.06.001
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.