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Molecular Oncology
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Molecular Oncology
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Untangling the ATR‐CHEK1 network for prognostication, prediction and therapeutic target validation in breast cancer

Authors: Abdel-Fatah, TMA; Middleton, FK; Arora, A; Agarwal, D; Chen, T; Moseley, PM; Perry, C; +8 Authors

Untangling the ATR‐CHEK1 network for prognostication, prediction and therapeutic target validation in breast cancer

Abstract

ATR‐CHEK1 signalling is critical for genomic stability. ATR‐CHEK1 signalling may be deregulated in breast cancer and have prognostic, predictive and therapeutic significance. We investigated ATR, CHEK1 and phosphorylated CHEK1 Ser345 protein (pCHEK1) levels in 1712 breast cancers. ATR and CHEK1 mRNA expression was evaluated in 1950 breast cancers. Pre‐clinically, biological consequences of ATR gene knock down or ATR inhibition by the small molecule inhibitor (VE‐821) were investigated in MCF7 and MDA‐MB‐231 breast cancer cell lines and in non‐tumorigenic breast epithelial cells (MCF10A). High ATR and high cytoplasmic pCHEK1 levels were significantly associated with higher tumour stage, higher mitotic index, pleomorphism and lymphovascular invasion. In univariate analyses, high ATR and high cytoplasmic pCHEK1 levels were associated with poor breast cancer specific survival (BCSS). In multivariate analysis, high ATR level remains an independent predictor of adverse outcome. At the mRNA level, high CHEK1 remains associated with aggressive phenotypes including lymph node positivity, high grade, Her‐2 overexpression, triple negative, aggressive molecular phenotypes and adverse BCSS. Pre‐clinically, CHEK1 phosphorylation at serine345 following replication stress was impaired in ATR knock down and in VE‐821 treated breast cancer cells. Doxycycline inducible knockdown of ATR suppressed growth, which was restored when ATR was re‐expressed. Similarly, VE‐821 treatment resulted in a dose dependent suppression of cancer cell growth and survival (MCF7 and MDA‐MB‐231) but was less toxic in non‐tumorigenic breast epithelial cells (MCF10A). We provide evidence that ATR and CHEK1 are promising biomarkers and rational drug targets for personalized therapy in breast cancer.

Keywords

Breast Neoplasms, Ataxia Telangiectasia Mutated Proteins, Kaplan-Meier Estimate, Prognosis, Cohort Studies, Gene Expression Regulation, Neoplastic, Phosphoserine, HEK293 Cells, Phenotype, Cell Line, Tumor, Checkpoint Kinase 1, Multivariate Analysis, Humans, Female, Neoplasm Invasiveness, Molecular Targeted Therapy, RNA, Messenger, Phosphorylation, Protein Kinases, Cell Proliferation

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    79
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
79
Top 10%
Top 10%
Top 10%
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gold
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Cancer Research