The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
Understanding of ROS-Inducing Strategy in Anticancer Therapy
Open accessAbstract
Redox homeostasis is essential for the maintenance of diverse cellular processes. Cancer cells have higher levels of reactive oxygen species (ROS) than normal cells as a result of hypermetabolism, but the redox balance is maintained in cancer cells due to their marked antioxidant capacity. Recently, anticancer therapies that induce oxidative stress by increasing ROS and/or inhibiting antioxidant processes have received significant attention. The acceleration of accumulative ROS disrupts redox homeostasis and causes severe damage in cancer cells. In this review, we describe ROS-inducing cancer therapy and the anticancer mechanism employed by prooxidative agents. To understand the comprehensive biological response to certain prooxidative anticancer drugs such as 2-methoxyestradiol, buthionine sulfoximine, cisplatin, doxorubicin, imexon, and motexafin gadolinium, we propose and visualize the drug-gene, drug-cell process, and drug-disease interactions involved in oxidative stress induction and antioxidant process inhibition as well as specific side effects of these drugs using pathway analysis with a big data-based text-mining approach. Our review will be helpful to improve the therapeutic effects of anticancer drugs by providing information about biological changes that occur in response to prooxidants. For future directions, there is still a need for pharmacogenomic studies on prooxidative agents as well as the molecular mechanisms underlying the effects of the prooxidants and/or antioxidant-inhibitor agents for effective anticancer therapy through selective killing of cancer cells.
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Polazzi, E., Mengoni, I., Caprini, M., Peña-Altamira, E., Kurtys, E., & Monti, B. (2013) · Neurosignals · doi:10.1159/000337115 · Cited by 8,994
ROS function in redox signaling and oxidative stress
Schieber, M., & Chandel, N. S. (2014) · Current Biology · doi:10.1016/j.cub.2014.03.034 · Cited by 6,931
Cisplatin in cancer therapy: Molecular mechanisms of action
Dasari, S., & Bernard Tchounwou, P. (2014) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2014.07.025 · Cited by 5,537
Targeting cancer cells by ROS-mediated mechanisms: a radical therapeutic approach?
Trachootham, D., Alexandre, J., & Huang, P. (2009) · Nature Reviews Drug Discovery · doi:10.1038/nrd2803 · Cited by 5,452
Metals, Toxicity and Oxidative Stress
Valko, M., Morris, H., & Cronin, M. (2005) · Current Medicinal Chemistry · doi:10.2174/0929867053764635 · Cited by 5,018
Cancer drug resistance: an evolving paradigm
Holohan, C., Van Schaeybroeck, S., Longley, D. B., & Johnston, P. G. (2013) · Nature Reviews Cancer · doi:10.1038/nrc3599 · Cited by 4,681
Oxidative stress: oxidants and antioxidants
Sies, H. (1997) · Experimental Physiology · doi:10.1113/expphysiol.1997.sp004024 · Cited by 4,566
Modulation of oxidative stress as an anticancer strategy
Gorrini, C., Harris, I. S., & Mak, T. W. (2013) · Nature Reviews Drug Discovery · doi:10.1038/nrd4002 · Cited by 3,579
Oxidative stress: a concept in redox biology and medicine
Sies, H. (2015) · Redox Biology · doi:10.1016/j.redox.2015.01.002 · Cited by 2,991
Stereotactic Body Radiation Therapy for Inoperable Early Stage Lung Cancer
Timmerman, R. (2010) · JAMA · doi:10.1001/jama.2010.261 · Cited by 2,532
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Nasrollahzadeh, A., Momeny, M., Fasehee, H., Yaghmaie, M., Bashash, D., Hassani, S., Mousavi, S. A., & Ghaffari, S. H. (2021) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2021.119087 · Cited by 20
Metadata
- Authors
- Kim, S. J., Kim, H. S., & Seo, Y. R.
- Venue
- Oxidative Medicine and Cellular Longevity
- Publisher
- Wiley
- Published
- 2019-12-20
- Volume
- 2019
- Pages
- 1-12
- ISSN
- 1942-0994 (ISSN-L)
- 1942-0900
- OpenAlex
- W2995708286
- Cited by
- 406
- References
- 112
- FWCI
- 13.96
- Type
- journal article
- Language
- en
- Open access
- hybrid
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