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Cited by 322

The DOI matches its Crossref record; 192 of the 192 references it cites were found in a registry or an index.

DNA damage checkpoint kinases in cancer

Open access
Smith, Hannah L., Southgate, Harriet, Tweddle, Deborah A., Curtin, Nicola J.·2020·Expert Reviews in Molecular Medicine

Abstract

DNA damage response (DDR) pathway prevents high level endogenous and environmental DNA damage being replicated and passed on to the next generation of cells via an orchestrated and integrated network of cell cycle checkpoint signalling and DNA repair pathways. Depending on the type of damage, and where in the cell cycle it occurs different pathways are involved, with the ATM-CHK2-p53 pathway controlling the G1 checkpoint or ATR-CHK1-Wee1 pathway controlling the S and G2/M checkpoints. Loss of G1 checkpoint control is common in cancer through TP53, ATM mutations, Rb loss or cyclin E overexpression, providing a stronger rationale for targeting the S/G2 checkpoints. This review will focus on the ATM-CHK2-p53-p21 pathway and the ATR-CHK1-WEE1 pathway and ongoing efforts to target these pathways for patient benefit.

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Registry

Crossref · 10.1017/erm.2020.3

Cites

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Citations

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Metadata

Authors
Smith, H. L., Southgate, H., Tweddle, D. A., & Curtin, N. J.
Venue
Expert Reviews in Molecular Medicine
Published
2020
Volume
22
Pages
e2-e2
ISSN
1462-3994 (ISSN-L)
OpenAlex
W3032979845
Cited by
322
References
192
FWCI
10.30
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: DNA damage checkpoint kinases in cancer. https://app.cochat.ai/papers/10.1017/erm.2020.3
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Smith, H. L., Southgate, H., Tweddle, D. A., & Curtin, N. J. (2020). DNA damage checkpoint kinases in cancer. Expert Reviews in Molecular Medicine. https://doi.org/10.1017/erm.2020.3

Data sources

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.