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Cited by 296

The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.

Targeting Nuclear Factor-Kappa B to Overcome Resistance to Chemotherapy

Open access
Godwin, P., Baird, A. M., Heavey, S., Barr, M. P., O’Byrne, K. J., Gately, K.·2013·Frontiers in Oncology

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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Crossref · 10.3389/fonc.2013.00120

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Metadata

Authors
Godwin, P., Baird, A. M., Heavey, S., Barr, M. P., O’Byrne, K. J., & Gately, K.
Venue
Frontiers in Oncology
Published
2013
Volume
3
Pages
120-120
ISSN
2234-943X (ISSN-L)
OpenAlex
W1976731794
Cited by
296
References
121
FWCI
2.90
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Targeting Nuclear Factor-Kappa B to Overcome Resistance to Chemotherapy. https://app.cochat.ai/papers/10.3389/fonc.2013.00120
The paper
Godwin, P., Baird, A. M., Heavey, S., Barr, M. P., O’Byrne, K. J., & Gately, K. (2013). Targeting Nuclear Factor-Kappa B to Overcome Resistance to Chemotherapy. Frontiers in Oncology. https://doi.org/10.3389/fonc.2013.00120

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.