The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Targeting Multiple Signaling Pathways in Cancer: The Rutin Therapeutic Approach
Open accessAbstract
Multiple dysregulated signaling pathways are implicated in the pathogenesis of cancer. The conventional therapies used in cancer prevention/treatment suffer from low efficacy, considerable toxicity, and high cost. Hence, the discovery and development of novel multi-targeted agents to attenuate the dysregulated signaling in cancer is of great importance. In recent decades, phytochemicals from dietary and medicinal plants have been successfully introduced as alternative anticancer agents due to their ability to modulate numerous oncogenic and oncosuppressive signaling pathways. Rutin (also known as rutoside, quercetin-3-O-rutinoside and sophorin) is an active plant-derived flavonoid that is widely distributed in various vegetables, fruits, and medicinal plants, including asparagus, buckwheat, apricots, apples, cherries, grapes, grapefruit, plums, oranges, and tea. Rutin has been shown to target various inflammatory, apoptotic, autophagic, and angiogenic signaling mediators, including nuclear factor-κB, tumor necrosis factor-α, interleukins, light chain 3/Beclin, B cell lymphoma 2 (Bcl-2), Bcl-2 associated X protein, caspases, and vascular endothelial growth factor. A comprehensive and critical analysis of the anticancer potential of rutin and associated molecular targets amongst various cancer types has not been performed previously. Accordingly, the purpose of this review is to present an up-to-date and critical evaluation of multiple cellular and molecular mechanisms through which the anticancer effects of rutin are known to be exerted. The current challenges and limitations as well as future directions of research are also discussed.
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Cites
Advances in flavonoid research since 1992
Harborne, J. B., & Williams, C. A. (2000) · Phytochemistry · doi:10.1016/s0031-9422(00)00235-1 · Cited by 3,956
Inflammation and cancer: triggers, mechanisms, and consequences
Greten, F. R., & Grivennikov, S. I. (2019) · Immunity · doi:10.1016/j.immuni.2019.06.025 · Cited by 3,806
Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease
Bianchini, G., Balko, J. M., Mayer, I. A., Sanders, M. E., & Gianni, L. (2016) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.66 · Cited by 3,079
Pan-cancer analysis of whole genomes
The ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium, Aaltonen, L. A., Abascal, F., Abeshouse, A., Aburatani, H., Adams, D. J., Agrawal, N., Ahn, K. S., Ahn, S.-M., Aikata, H., et al. (2020) · Nature · doi:10.1038/s41586-020-1969-6 · Cited by 3,064
Fridman, J. S., & Lowe, S. W. (2003) · Oncogene · doi:10.1038/sj.onc.1207116 · Cited by 1,401
Crosstalk between apoptosis.; necrosis and autophagy
Nikoletopoulou, V., Markaki, M., Palikaras, K., & Tavernarakis, N. (2013) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2013.06.001 · Cited by 1,366 · cited 2×
“PARP inhibitors expedite ROS production, DNA damage, and programmed cell death [59].”
BackgroundERK and cell death: mechanisms of ERK-induced cell death--apoptosis, autophagy and senescence
Cagnol, S., & Chambard, J. (2010) · The FEBS Journal · doi:10.1111/j.1742-4658.2009.07366.x · Cited by 1,290
The Cell–Cycle Arrest and Apoptotic Functions of p53 in Tumor Initiation and Progression
Chen, J. (2016) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a026104 · Cited by 1,222 · cited 1×
“P53 is a well-known tumor suppressor gene that participates in the induction of cell cycle arrest and apoptosis [158].”
BackgroundThe Roles of Autophagy in Cancer
Yun, C. W., & Lee, S. H. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19113466 · Cited by 965
Meta-analyses of colorectal cancer risk factors
Johnson, C. M., Wei, C., Ensor, J. E., Smolenski, D. J., Amos, C. I., Levin, B., & Berry, D. A. (2013) · Cancer Causes & Control · doi:10.1007/s10552-013-0201-5 · Cited by 779
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Plant-Derived Anticancer Compounds as New Perspectives in Drug Discovery and Alternative Therapy
Dehelean, C. A., Marcovici, I., Soica, C., Mioc, M., Coricovac, D., Iurciuc, S., Cretu, O. M., & Pinzaru, I. (2021) · Molecules · doi:10.3390/molecules26041109 · Cited by 502
Diosmetin Exerts Synergistic Effects in Combination with 5-Fluorouracil in Colorectal Cancer Cells
Kamran, S., Sinniah, A., Chik, Z., & Alshawsh, M. A. (2022) · Biomedicines · doi:10.3390/biomedicines10030531 · Cited by 57
Metadata
- Authors
- Nouri, Z., Fakhri, S., Nouri, K., Wallace, C. E., Farzaei, M. H., & Bishayee, A.
- Venue
- Cancers
- Publisher
- MDPI AG
- Published
- 2020-08-14
- Volume
- 12
- Issue
- 8
- Pages
- 2276
- ISSN
- 2072-6694 (ISSN-L)
- OpenAlex
- W3049079726
- Cited by
- 236
- References
- 17
- FWCI
- 13.15
- Type
- journal article
- Language
- en
- Open access
- gold
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