The DOI matches its Crossref record; 201 of the 201 references it cites were found in a registry or an index.
Nanodrug delivery in reversing multidrug resistance in cancer cells
Open accessAbstract
Different mechanisms in cancer cells become resistant to one or more chemotherapeutics is known as multidrug resistance (MDR) which hinders chemotherapy efficacy. Potential factors for MDR includes enhanced drug detoxification, decreased drug uptake, increased intracellular nucleophiles levels, enhanced repair of drug induced DNA damage, overexpression of drug transporter such as P-glycoprotein(P-gp), multidrug resistance-associated proteins (MRP1, MRP2), and breast cancer resistance protein (BCRP). Currently nanoassemblies such as polymeric/solid lipid/inorganic/metal nanoparticles, quantum dots, dendrimers, liposomes, micelles has emerged as an innovative, effective, and promising platforms for treatment of drug resistant cancer cells. Nanocarriers have potential to improve drug therapeutic index, ability for multifunctionality, divert ABC-transporter mediated drug efflux mechanism and selective targeting to tumor cells, cancer stem cells, tumor initiating cells, or cancer microenvironment. Selective nanocarrier targeting to tumor overcomes dose-limiting side effects, lack of selectivity, tissue toxicity, limited drug access to tumor tissues, high drug doses, and emergence of multiple drug resistance with conventional or combination chemotherapy. Current review highlights various nanodrug delivery systems to overcome mechanism of MDR by neutralizing, evading, or exploiting the drug efflux pumps and those independent of drug efflux pump mechanism by silencing Bcl-2 and HIF1α gene expressions by siRNA and miRNA, modulating ceramide levels and targeting NF-κB. "Theragnostics" combining a cytotoxic agent, targeting moiety, chemosensitizing agent, and diagnostic imaging aid are highlighted as effective and innovative systems for tumor localization and overcoming MDR. Physical approaches such as combination of drug with thermal/ultrasound/photodynamic therapies to overcome MDR are focused. The review focuses on newer drug delivery systems developed to overcome MDR in cancer cell.
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1 retracted
Anand, P., Nair, H. B., Sung, B., Kunnumakkara, A. B., Yadav, V. R., Tekmal, R. R., & Aggarwal, B. B. (2010) · Biochemical Pharmacology · doi:10.1016/j.bcp.2009.09.003 · Cited by 574
RetractedHypoxia — a key regulatory factor in tumour growth
Harris, A. L. (2002) · Nature Reviews Cancer · doi:10.1038/nrc704 · Cited by 5,177
Evidence of RNAi in humans from systemically administered siRNA via targeted nanoparticles
Davis, M. E., Zuckerman, J. E., Choi, C. H. J., Seligson, D., Tolcher, A., Alabi, C. A., Yen, Y., Heidel, J. D., & Ribas, A. (2010) · Nature · doi:10.1038/nature08956 · Cited by 2,505
Magnetic nanomaterials for hyperthermia-based therapy and controlled drug delivery
Kumar, C. S. S. R., & Mohammad, F. (2011) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2011.03.008 · Cited by 1,666
Dithiocarbamates as potent inhibitors of nuclear factor kappa B activation in intact cells.
Schreck, R., Meier, B., Männel, D. N., Dröge, W., & Baeuerle, P. A. (1992) · The Journal of experimental medicine · doi:10.1084/jem.175.5.1181 · Cited by 1,508
Nanoparticle-based theranostic agents
Xie, J., Lee, S., & Chen, X. (2010) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2010.07.009 · Cited by 1,422
Theranostics: Combining Imaging and Therapy
Kelkar, S. S., & Reineke, T. M. (2011) · Bioconjugate Chemistry · doi:10.1021/bc200151q · Cited by 1,385
Bisht, S., Feldmann, G., Soni, S., Ravi, R., Karikar, C., Maitra, A., & Maitra, A. (2007) · Journal of Nanobiotechnology · doi:10.1186/1477-3155-5-3 · Cited by 1,090
Is NF-κB a good target for cancer therapy? Hopes and pitfalls
Baud, V., & Karin, M. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2781 · Cited by 1,061
Thomas, H., & Coley, H. M. (2003) · Cancer Control · doi:10.1177/107327480301000207 · Cited by 931
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Li, W., Zhang, H., Assaraf, Y. G., Zhao, K., Xu, X., Xie, J., Yang, D.-H., & Chen, Z.-S. (2016) · Drug Resistance Updates · doi:10.1016/j.drup.2016.05.001 · Cited by 673
Emran, T. B., Shahriar, A., Mahmud, A. R., Rahman, T., Abir, M. H., Siddiquee, M. F. R., Ahmed, H., Rahman, N., Nainu, F., Wahyudin, E., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.891652 · Cited by 606
Drug resistance in cancer: mechanisms and tackling strategies
Haider, T., Pandey, V., Banjare, N., Gupta, P. N., & Soni, V. (2020) · Pharmacological Reports · doi:10.1007/s43440-020-00138-7 · Cited by 282
Metadata
- Authors
- Yergeri, M., Kapse-Mistry, S., Srivastava, R., & Govender, T.
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Published
- 2014-07-10
- Volume
- 5
- Pages
- 159-159
- ISSN
- 1663-9812 (ISSN-L)
- OpenAlex
- W2094820979
- Cited by
- 255
- References
- 201
- FWCI
- 10.61
- Type
- journal article
- Language
- en
- Open access
- gold
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- Yergeri, M., Kapse-Mistry, S., Srivastava, R., & Govender, T. (2014). Nanodrug delivery in reversing multidrug resistance in cancer cells. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2014.00159
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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