The DOI matches its Crossref record; 224 of the 224 references it cites were found in a registry or an index.
Opportunities and challenges for co-delivery nanomedicines based on combination of phytochemicals with chemotherapeutic drugs in cancer treatment
Abstract
The therapeutic limitations such as insufficient efficacy, drug resistance, metastasis, and undesirable side effects are frequently caused by the long duration monotherapy based on chemotherapeutic drugs. multiple combinational anticancer strategies such as nucleic acids combined with chemotherapeutic agents, chemotherapeutic combinations, chemotherapy and tumor immunotherapy combinations have been embraced, holding great promise to counter these limitations, while still taking including some potential risks. Nowadays, an increasing number of research has manifested the anticancer effects of phytochemicals mediated by modulating cancer cellular events directly as well as the tumor microenvironment. Specifically, these natural compounds exhibited suppression of cancer cell proliferation, apoptosis, migration and invasion of cancer cells, P-glycoprotein inhibition, decreasing vascularization and activation of tumor immunosuppression. Due to the low toxicity and multiple modulation pathways of these phytochemicals, the combination of chemotherapeutic agents with natural compounds acts as a novel approach to cancer therapy to increase the efficiency of cancer treatments as well as reduce the adverse consequences. In order to achieve the maximized combination advantages of small-molecule chemotherapeutic drugs and natural compounds, a variety of functional nano-scaled drug delivery systems, such as liposomes, host-guest supramolecules, supramolecules, dendrimers, micelles and inorganic systems have been developed for dual/multiple drug co-delivery. These co-delivery nanomedicines can improve pharmacokinetic behavior, tumor accumulation capacity, and achieve tumor site-targeting delivery. In that way, the improved antitumor effects through multiple-target therapy and reduced side effects by decreasing dose can be implemented. Here, we present the synergistic anticancer outcomes and the related mechanisms of the combination of phytochemicals with small-molecule anticancer drugs. We also focus on illustrating the design concept, and action mechanisms of nanosystems with co-delivery of drugs to synergistically improve anticancer efficacy. In addition, the challenges and prospects of how these insights can be translated into clinical benefits are discussed.
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4 retracted
Zhang, P., Lai, Z., Chen, H., Zhang, M., Wang, A., Jia, T., Sun, W., Zhu, X., Chen, X., Zhao, Z., et al. (2017) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-017-0661-7 · Cited by 106
Self-citationRetractedRETRACTED: Chlorogenic Acid Improves the Regorafenib Effects in Human Hepatocellular Carcinoma Cells
Refolo, M. G., Lippolis, C., Carella, N., Cavallini, A., Messa, C., & D’Alessandro, R. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19051518 · Cited by 61
RetractedAmoodizaj, F. F., Baghaeifar, S., Taheri, E., Jadid, M. F. S., Safi, M., Sani, N. S., Hajazimian, S., Isazadeh, A., & Shanehbandi, D. (2020) · Journal of Biochemical and Molecular Toxicology · doi:10.1002/jbt.22486 · Cited by 52
RetractedXiaomeng, F., Lei, L., An, J., Jiang, J., Qi, Y., & Yuan, D. (2020) · Brazilian Journal of Medical and Biological Research · doi:10.1590/1414-431x20208885 · Cited by 23
RetractedSung, H., Ferlay, J., Siegel, R. L., Laversanne, M., Soerjomataram, I., Jemal, A., & Bray, F. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21660 · Cited by 108,699
Mechanisms of Cancer Drug Resistance
Gottesman, M. M. (2002) · Annual Review of Medicine · doi:10.1146/annurev.med.53.082901.103929 · Cited by 2,643
Combination therapy in combating cancer
Mokhtari, R. B., Homayouni, T. S., Baluch, N., Morgatskaya, E., Kumar, S., Das, B., & Yeger, H. (2017) · Oncotarget · doi:10.18632/oncotarget.16723 · Cited by 2,543
Jang, S. C., Kim, O. Y., Yoon, C. M., Choi, D.-S., Roh, T.-Y., Park, J., Nilsson, J., Lötvall, J., Kim, Y.-K., & Gho, Y. S. (2013) · ACS Nano · doi:10.1021/nn402232g · Cited by 1,022
Combination cancer immunotherapies tailored to the tumour microenvironment
Smyth, M. J., Ngiow, S. F., Ribas, A., & Teng, M. W. L. (2016) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2015.209 · Cited by 944
Resveratrol as an anti-cancer agent: A review
Rauf, A., Imran, M., Butt, M. S., Nadeem, M., Peters, D. G., & Mubarak, M. S. (2018) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2016.1263597 · Cited by 663
Cited by
Natural Products as Anticancer Agents: Current Status and Future Perspectives
Naeem, A., Hu, P., Yang, M., Zhang, J., Liu, Y., Zhu, W., & Zheng, Q. (2022) · Molecules · doi:10.3390/molecules27238367 · Cited by 607
Self-citationLiu, Y., Liu, Y., Sun, X., Wang, Y., Du, C., & Bai, J. (2024) · Materials Today Bio · doi:10.1016/j.mtbio.2023.100903 · Cited by 19
Metadata
- Authors
- Gao, Q., Feng, J., Liu, W., Wen, C., Wu, Y., Liao, Q., Zou, L., Sui, X., Xie, T., Zhang, J., & Hu, Y.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 188
- Pages
- 114445
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W4284961560
- Cited by
- 267
- References
- 224
- FWCI
- 3.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Gao, Q., Feng, J., Liu, W., Wen, C., Wu, Y., Liao, Q., Zou, L., Sui, X., Xie, T., Zhang, J., & Hu, Y. (2022). Opportunities and challenges for co-delivery nanomedicines based on combination of phytochemicals with chemotherapeutic drugs in cancer treatment. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2022.114445
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