Busra Erkan
Hydroxyacid Oxidase 1, a Glutamine Metabolism-Associated Protein, Predicts Poor Patient Outcome in Luminal Breast Cancer
Erkan, Busra; MacIntyre, Skye; Brown, Charlotte; Fakroun, Ali; Lashen, Ayat G.; Mongan, Nigel P.; Ellis, Ian O.; Rakha, Emad A.; Green, Andrew R.
Authors
Skye MacIntyre
Charlotte Brown
Ali Fakroun
Ayat G. Lashen
Professor Nigel Mongan nigel.mongan@nottingham.ac.uk
ASSOCIATE PRO-VICE CHANCELLORGLOBAL ENGAGEMENT
Ian O. Ellis
Professor EMAD RAKHA Emad.Rakha@nottingham.ac.uk
PROFESSOR OF BREAST CANCER PATHOLOGY
Dr Andy Green ANDREW.GREEN@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Abstract
Breast cancer (BC), which remains the most prevalent malignancy among women, is characterised by significant heterogeneity across its molecular subtypes. Oestrogen receptor-positive (ER+) (luminal) BC represents approximately 75% of cases, and despite advancements in treatment there remains around a 40% recurrence rate. Cellular uptake of glutamine is conducted by solute carriers (SLCs), which are significantly associated with outcome in luminal BC. In this study, differential gene expression analysis was carried out using The Cancer Genome Atlas BC dataset. This identified hydroxyacid oxidase 1 (HAO1) as significantly overexpressed in luminal BC with a high expression of SLCs. Extended analysis in the METABRIC (n = 1980) and Breast Cancer Gene-Expression Miner (n = 4421) transcriptomic databases and the Nottingham (n = 952) BC tissue cohort showed a varied survival outcome for HAO1 expression at the genomic, transcriptomic, and proteomic levels. HAO1 copy number (CN) gain (p = 0.002) and high HAO1 protein expression (p = 0.019) were associated with poor prognosis in luminal BC, whereas high HAO1 mRNA expression correlated with better survival outcomes (p = 0.023) suggesting a complex regulatory mechanism affecting HAO1 at different biological levels. Importantly, in luminal BC patients treated with endocrine therapy, high protein expression of HAO1 predicted shorter distant-metastasis free survival (p = 0.042). The knockdown of SLC1A5 and SLC7A5 significantly reduced HAO1 expression in MCF-7 and ZR-751 BC cell lines. Protein analysis confirmed significant associations between HAO1 and SLC7A5 and SLC1A5, emphasising a potential role for the enzyme in glutamine metabolism and its potential as a therapeutic target. This study underscores the prognostic significance of HAO1 in luminal BC and its relationship with patient outcomes.
Citation
Erkan, B., MacIntyre, S., Brown, C., Fakroun, A., Lashen, A. G., Mongan, N. P., Ellis, I. O., Rakha, E. A., & Green, A. R. (2024). Hydroxyacid Oxidase 1, a Glutamine Metabolism-Associated Protein, Predicts Poor Patient Outcome in Luminal Breast Cancer. International Journal of Molecular Sciences, 25(21), Article 11572. https://doi.org/10.3390/ijms252111572
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 24, 2024 |
Online Publication Date | Oct 28, 2024 |
Publication Date | Nov 1, 2024 |
Deposit Date | Oct 24, 2024 |
Publicly Available Date | Nov 7, 2024 |
Journal | International Journal of Molecular Sciences |
Print ISSN | 1661-6596 |
Electronic ISSN | 1422-0067 |
Publisher | MDPI |
Peer Reviewed | Peer Reviewed |
Volume | 25 |
Issue | 21 |
Article Number | 11572 |
DOI | https://doi.org/10.3390/ijms252111572 |
Keywords | luminal breast cancer; oestrogen receptor; Hydroxyacid oxidase 1; solute carriers; prognostic signficance |
Public URL | https://nottingham-repository.worktribe.com/output/40864997 |
Files
ijms-25-11572-v2
(5.9 Mb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
Copyright Statement
© 2024 by the authors. Licensee MDPI, Basel, Switzerland.
You might also like
The role of the ALKBH5 RNA demethylase in invasive breast cancer
(2024)
Journal Article
Epitranscriptomic mechanisms of androgen signalling and prostate cancer
(2024)
Journal Article
The characteristics and prognostic significance of histone H1 expression in breast cancer
(2024)
Journal Article
NANOG controls testicular germ cell tumour stemness through regulation of MIR9-2
(2024)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search