Title |
Targeting Nuclear Factor-Kappa B to Overcome Resistance to Chemotherapy
|
---|---|
Published in |
Frontiers in oncology, January 2013
|
DOI | 10.3389/fonc.2013.00120 |
Pubmed ID | |
Authors |
P. Godwin, A. M. Baird, S. Heavey, M. P. Barr, K. J. O’Byrne, K. Gately |
Abstract |
Intrinsic or acquired resistance to chemotherapeutic agents is a common phenomenon and a major challenge in the treatment of cancer patients. Chemoresistance is defined by a complex network of factors including multi-drug resistance proteins, reduced cellular uptake of the drug, enhanced DNA repair, intracellular drug inactivation, and evasion of apoptosis. Pre-clinical models have demonstrated that many chemotherapy drugs, such as platinum-based agents, antracyclines, and taxanes, promote the activation of the NF-κB pathway. NF-κB is a key transcription factor, playing a role in the development and progression of cancer and chemoresistance through the activation of a multitude of mediators including anti-apoptotic genes. Consequently, NF-κB has emerged as a promising anti-cancer target. Here, we describe the role of NF-κB in cancer and in the development of resistance, particularly cisplatin. Additionally, the potential benefits and disadvantages of targeting NF-κB signaling by pharmacological intervention will be addressed. |
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Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 40% |
United States | 1 | 20% |
Switzerland | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Scientists | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | <1% |
Unknown | 220 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 53 | 24% |
Researcher | 30 | 14% |
Student > Bachelor | 26 | 12% |
Student > Master | 25 | 11% |
Student > Doctoral Student | 16 | 7% |
Other | 29 | 13% |
Unknown | 42 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 77 | 35% |
Medicine and Dentistry | 36 | 16% |
Agricultural and Biological Sciences | 33 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 12 | 5% |
Immunology and Microbiology | 3 | 1% |
Other | 11 | 5% |
Unknown | 49 | 22% |