The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Passive and active targeting in cancer therapy by liposomes and lipid nanoparticles
Abstract
Considerable development in the application of injectable drug delivery systems for cancer therapy has occurred in the last few decades. These improvements include liposomes, lipid nanoparticles (LNPs), and other nanoparticles with or without macromolecular conjugates. For example, liposomal doxorubicin modified by poly(ethylene glycol) (Doxil) was the first liposome with anti-cancer effects which was approved by the US Food and Drug Administration, whereas Abraxane (modified albumin nanoparticles loaded by paclitaxel) was recently confirmed for the treatment of breast cancer. Recently, drug delivery systems by LNPs are an emerging technology with numerous advantages over conventional liposomes and chemotherapy using free drug treatment of cancer. These properties are biocompatibility, controlled and sustained release of anti-tumor drugs, and lower toxicity. Valuable experiments on these drug delivery systems offer better treatment of multidrug-resistant cancers and lower cardiotoxicity. LNPs have been presented with high functionality in chemotherapeutic targeting of breast and prostate cancer. The basis for this targeting behavior has been shown to be both passive and active targeting. The main objective of this review was an overview of the current position of the liposome-based drug delivery systems in targeted anticancer chemotherapy.
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
Cancer immunotherapy comes of age
Mellman, I., Coukos, G., & Dranoff, G. (2011) · Nature · doi:10.1038/nature10673 · Cited by 3,893
Cellular senescence promotes adverse effects of chemotherapy and cancer relapse
Demaria, M., O'Leary, M. N., Chang, J., Shao, L., Liu, S., Alimirah, F., Koenig, K., Le, C., Mitin, N., Deal, A. M., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-0241 · Cited by 1,338
Liu, B., Han, L., Liu, J., Han, S., Chen, Z., & Jiang, L. (2017) · International Journal of Nanomedicine · doi:10.2147/ijn.s115136 · Cited by 129
Cited by
Lipid-Based Nanoparticles: Application and Recent Advances in Cancer Treatment
García-Pinel, B., Porras-Alcalá, C., Ortega-Rodríguez, A., Sarabia, F., Prados, J., Melguizo, C., & López-Romero, J. M. (2019) · Nanomaterials · doi:10.3390/nano9040638 · Cited by 527
Nanocarrier-based systems for targeted and site specific therapeutic delivery
Majumder, J., Taratula, O., & Minko, T. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2019.07.010 · Cited by 394
Overcoming barriers by local drug delivery with liposomes
Antimisiaris, S. G., Marazioti, A., Kannavou, M., Natsaridis, E., Gkartziou, F., Kogkos, G., & Mourtas, S. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.01.019 · Cited by 339
Mechanistic study of cancer drug delivery: Current techniques, limitations, and future prospects
Imtiaz, S., Ferdous, U. T., Nizela, A., Hasan, A., Shakoor, A., Zia, A. W., & Uddin, S. (2025) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2025.117535 · Cited by 119
Nanocarrier system: An emerging strategy for bioactive peptide delivery
Zhang, X., Li, X., Zhao, Y., Zheng, Q., Wu, Q., & Yu, Y. (2022) · Frontiers in Nutrition · doi:10.3389/fnut.2022.1050647 · Cited by 63
Metadata
- Authors
- Alavi, M., & Hamidi, M.
- Venue
- Drug Metabolism and Personalized Therapy
- Publisher
- Walter de Gruyter GmbH
- Published
- 2019-02-01
- Volume
- 34
- Issue
- 1
- ISSN
- 2363-8907 (ISSN-L)
- 2363-8915
- OpenAlex
- W2914206423
- Cited by
- 405
- References
- 3
- FWCI
- 11.12
- Type
- journal article
- Language
- en
- Open access
- closed
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: Passive and active targeting in cancer therapy by liposomes and lipid nanoparticles. https://app.cochat.ai/papers/10.1515/dmpt-2018-0032
- The paper
- Alavi, M., & Hamidi, M. (2019). Passive and active targeting in cancer therapy by liposomes and lipid nanoparticles. Drug Metabolism and Personalized Therapy. https://doi.org/10.1515/dmpt-2018-0032
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.