The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.
Employment of enhanced permeability and retention effect (EPR): Nanoparticle-based precision tools for targeting of therapeutic and diagnostic agent in cancer
Abstract
In tumorous tissues, the absence of vasculature supportive tissues intimates the formation of leaky vessels and pores (100 nm to 2 μm in diameter) and the poor lymphatic system offers great opportunity to treat cancer and the phenomenon is known as Enhanced permeability and retention (EPR) effect. The trends in treating cancer by making use of EPR effect is increasing day by day and generate multitudes of possibility to design novel anticancer therapeutics. This review aimed to present various factors affecting the EPR effect along with important things to know about EPR effect such as tumor perfusion, lymphatic function, interstitial penetration, vascular permeability, nanoparticle retention etc. This manuscript expounds the current advances and cross-talks the developments made in the of EPR effect-based therapeutics in cancer therapy along with a transactional view of its current clinical and industrial aspects.
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Cites
Principles of nanoparticle design for overcoming biological barriers to drug delivery
Blanco, E., Shen, H., & Ferrari, M. (2015) · Nature Biotechnology · doi:10.1038/nbt.3330 · Cited by 7,002
Matsumura, Y., & Maeda, H. (1986) · PubMed · Cited by 6,781
Normalization of Tumor Vasculature: An Emerging Concept in Antiangiogenic Therapy
Jain, R. K. (2005) · Science · doi:10.1126/science.1104819 · Cited by 5,527
Nanoparticle therapeutics: an emerging treatment modality for cancer
Davis, M. E., Chen, Z., & Shin, D. M. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2614 · Cited by 4,233
Liposome: classification, preparation, and applications
Akbarzadeh, A., Rezaei-Sadabady, R., Davaran, S., Joo, S. W., Zarghami, N., Hanifehpour, Y., Samiei, M., Kouhi, M., & Nejati-Koshki, K. (2013) · Nanoscale Research Letters · doi:10.1186/1556-276x-8-102 · Cited by 3,632
Nanoparticles in cancer therapy and diagnosis
Brigger, I., Dubernet, C., & Couvreur, P. (2002) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(02)00044-3 · Cited by 3,039
Drug penetration in solid tumours
Minchinton, A. I., & Tannock, I. F. (2006) · Nature reviews. Cancer · doi:10.1038/nrc1893 · Cited by 2,805
Danhier, F., Feron, O., & Préat, V. (2010) · Journal of Controlled Release · doi:10.1016/j.jconrel.2010.08.027 · Cited by 2,800
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., Nakamura, H., & Fang, J. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.10.002 · Cited by 2,376
Cited by
Nanoparticle-Based Drug Delivery in Cancer Therapy and Its Role in Overcoming Drug Resistance
Yao, Y., Zhou, Y., Liu, L., Xu, Y., Chen, Q., Wang, Y., Wu, S., Deng, Y., Zhang, J., & Shao, A. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.00193 · Cited by 1,451
Liu, P., Chen, G., & Zhang, J. (2022) · Molecules · doi:10.3390/molecules27041372 · Cited by 1,334
Wu, J. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11080771 · Cited by 1,030
Emerging Applications of Nanotechnology in Healthcare and Medicine
Malik, S., Muhammad, K., & Waheed, Y. (2023) · Molecules · doi:10.3390/molecules28186624 · Cited by 610
Bioorthogonal Chemistry and Its Applications
Bird, R. E., Lemmel, S. A., Yu, X., & Zhou, Q. A. (2021) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.1c00461 · Cited by 409
Metadata
- Authors
- Kalyane, D., Raval, N., Maheshwari, R., Tambe, V., Kalia, K., & Tekade, R. K.
- Venue
- Materials Science and Engineering: C
- Publisher
- Elsevier BV
- Published
- 2019-05
- Volume
- 98
- Pages
- 1252-1276
- ISSN
- 0928-4931 (ISSN-L)
- OpenAlex
- W2910346583
- Cited by
- 849
- References
- 161
- FWCI
- 25.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kalyane, D., Raval, N., Maheshwari, R., Tambe, V., Kalia, K., & Tekade, R. K. (2019). Employment of enhanced permeability and retention effect (EPR): Nanoparticle-based precision tools for targeting of therapeutic and diagnostic agent in cancer. Materials Science and Engineering: C. https://doi.org/10.1016/j.msec.2019.01.066
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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.