Projects per year
Abstract
Although significant improvements have been made in breast cancer diagnosis and treatment, the prognosis of breast cancer remains poor in some patient groups (i.e. triple negative breast cancer), necessitating research into better patient stratification, diagnosis and drug discovery. The UK Biobank, a comprehensive biomedical and epidemiological database with a wide variety of multiomics data (genomics, proteomics, metabolomics) offers huge potential to uncover groundbreaking discoveries in breast cancer research leading to improved patient stratification. Combining genomic, proteomic, and metabolic profiles of breast cancer in combination with histological classification, can aid treatment decisions through accurate diagnosis and prognosis prediction of tumor behaviour.
Here, we systematically reviewed PubMed publications reporting the analysis of UK Biobank data in breast cancer research. Our analysis of UK Biobank studies in the past five years identified 125 publications, of which 76 focussed on genomic data analysis. Interestingly, only two studies reported the analysis of metabolomics and proteomics data, with none performing multiomics analysis of breast cancer. A meta-analysis of the 76 publications identified 2,870 genetic variants associated with breast cancer across 445 genes. Subtype analysis revealed differential genetic alteration in 13 of the 445 genes and the identification of 59 well-established breast cancer genes. in differential pathways. Pathway interaction analyses illuminated their involvement in general cancer biomolecular pathways (e.g. DNA damage repair, Gene expression). While our meta-analysis only measured genetic differences in breast cancer due to current usage of UK Biobank data, minimal multi-omics analyses have been performed and the potential for harnessing multi-omics strategies within the UK Biobank cohort holds promise for unravelling the biological signatures of distinct breast cancer subtypes further in the future.
Original language | English |
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Pages (from-to) | 2200-2210 |
Number of pages | 11 |
Journal | Computational and Structural Biotechnology Journal |
Volume | 23 |
Early online date | 10 May 2024 |
DOIs | |
Publication status | Published - 1 Dec 2024 |
Keywords
- breast cancer
- genomics
- SNPs
- UK Biobank
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Harnessing multiparametric biobank data to develop novel predictive models of frailty
Rattray, N. (Principal Investigator)
MRC (Medical Research Council)
30/09/23 → 26/09/25
Project: Research
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DTP 2224 University of Strathclyde | Van Den Driest, Lisa
Rattray, N. (Principal Investigator), Rattray, Z. (Co-investigator) & Van Den Driest, L. (Research Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/22 → 1/03/27
Project: Research Studentship - Internally Allocated
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Multiscale Metrology Suite for Next-generation Healthcare Technologies (EPSRC Strategic Equipment)
Rattray, Z. (Principal Investigator), Bruns, N. (Co-investigator), Faulds, K. (Co-investigator), Graham, D. (Co-investigator), Halbert, G. (Co-investigator), Hoskins, C. (Co-investigator), McArthur, S. (Co-investigator), Perrie, Y. (Co-investigator), Reid, S. (Co-investigator) & Seib, P. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/11/21 → 31/10/24
Project: Research