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Saidy, Behnaz and Vasan, Richa and Durant, Rosie and Greener, Megan-Rose and Immanuel, Adelynn and Green, Andrew R. and Rakha, Emad and Ellis, Ian and Ball, Graham and Martin, Stewart G. and Storr, Sarah J. (2023) Unravelling transcriptomic complexity in breast cancer through modulation of DARPP-32 expression and signalling pathways. Scientific Reports, 13: 21163. ISSN 2045-2322

AI Summary:

DARPP-32, a key regulator of protein-phosphatase-1 and protein kinase A, was found to be associated with poor patient prognosis in breast cancer. The study also identified DKK1 and GRB7 as genes linked to breast cancer prognosis.

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Abstract

DARPP-32 is a key regulator of protein-phosphatase-1 (PP-1) and protein kinase A (PKA), with its function dependent upon its phosphorylation state. We previously identified DKK1 and GRB7 as genes with linked expression using Artificial Neural Network (ANN) analysis; here, we determine protein expression in a large cohort of early-stage breast cancer patients. Low levels of DARPP-32 Threonine-34 phosphorylation and DKK1 expression were significantly associated with poor patient prognosis, while low levels of GRB7 expression were linked to better survival outcomes. To gain insight into mechanisms underlying these associations, we analysed the transcriptome of T47D breast cancer cells following DARPP-32 knockdown. We identified 202 differentially expressed transcripts and observed that some overlapped with genes implicated in the ANN analysis, including PTK7, TRAF5, and KLK6, amongst others. Furthermore, we found that treatment of DARPP-32 knockdown cells with 17β-estradiol or PKA inhibitor fragment (6–22) amide led to the differential expression of 193 and 181 transcripts respectively. These results underscore the importance of DARPP-32, a central molecular switch, and its downstream targets, DKK1 and GRB7 in breast cancer. The discovery of common genes identified by a combined patient/cell line transcriptomic approach provides insights into the molecular mechanisms underlying differential breast cancer prognosis and highlights potential targets for therapeutic intervention.

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Saidy, Behnaz

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Vasan, Richa

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Nature Research

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Copyright © 2023 The Author(s)

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Information

Title:

Unravelling transcriptomic complexity in breast cancer through modulation of DARPP-32 expression and signalling pathways

Creators:

Identification Number:

10.1038/s41598-023-48198-y

Date:

30 November 2023

Divisions:

College of Medical Veterinary and Life Sciences > School of Cancer Sciences

Publisher:

Nature Research

Additional Information:

S.J.S. was funded through the University of Nottingham’s Research Vision as a Nottingham Research Fellow, the University of Nottingham Life Cycle 6 Campaign, and Bioscientifca Trust. Megan-Rose Greener is funded through the Wellcome Trust, grant number RS3684.

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https://pub.demo35.eprints-hosting.org/id/eprint/451

Item Type:

Article

Depositing User:

Unnamed user with email ejo1f20@soton.ac.uk

Date Deposited:

11 Jun 2025 16:38

Revision:

Last Modified:

12 Jun 2025 09:30