Ubiquitin-conjugating enzyme 2C (UBE2C) is a poor prognostic biomarker in invasive breast cancer.


Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
Apr 2022
Historique:
received: 06 10 2021
accepted: 19 01 2022
pubmed: 7 2 2022
medline: 31 3 2022
entrez: 6 2 2022
Statut: ppublish

Résumé

The Ubiquitin-conjugating enzyme 2C (UBE2C) is essential for the ubiquitin-proteasome system and is involved in cancer cell migration and apoptosis. This study aimed to determine the prognostic value of UBE2C in invasive breast cancer (BC). UBE2C was evaluated using the Molecular Taxonomy of Breast Cancer International Consortium (n = 1980), The Cancer Genome Atlas (n = 854) and Kaplan-Meier Plotter (n = 3951) cohorts. UBE2C protein expression was assessed using immunohistochemistry in the BC cohort (n = 619). The correlation between UBE2C, clinicopathological parameters and patient outcome was assessed. High UBE2C mRNA and protein expressions were correlated with features of poor prognosis, including high tumour grade, large size, the presence of lymphovascular invasion, hormone receptor negativity and HER2 positivity. High UBE2C mRNA expression showed a negative association with E-cadherin, and a positive association with adhesion molecule N-cadherin, matrix metalloproteinases and cyclin-related genes. There was a positive correlation between high UBE2C protein expression and cell cycle-associated biomarkers, p53, Ki67, EGFR and PI3K. High UBE2C protein expression was an independent predictor of poor outcome (p = 0.011, HR = 1.45, 95% CI; 1.10-1.93). This study indicates that UBE2C is an independent prognostic biomarker in BC. These results warrant further functional validation for UBE2C as a potential therapeutic target in BC.

Sections du résumé

BACKGROUND BACKGROUND
The Ubiquitin-conjugating enzyme 2C (UBE2C) is essential for the ubiquitin-proteasome system and is involved in cancer cell migration and apoptosis. This study aimed to determine the prognostic value of UBE2C in invasive breast cancer (BC).
METHODS METHODS
UBE2C was evaluated using the Molecular Taxonomy of Breast Cancer International Consortium (n = 1980), The Cancer Genome Atlas (n = 854) and Kaplan-Meier Plotter (n = 3951) cohorts. UBE2C protein expression was assessed using immunohistochemistry in the BC cohort (n = 619). The correlation between UBE2C, clinicopathological parameters and patient outcome was assessed.
RESULTS RESULTS
High UBE2C mRNA and protein expressions were correlated with features of poor prognosis, including high tumour grade, large size, the presence of lymphovascular invasion, hormone receptor negativity and HER2 positivity. High UBE2C mRNA expression showed a negative association with E-cadherin, and a positive association with adhesion molecule N-cadherin, matrix metalloproteinases and cyclin-related genes. There was a positive correlation between high UBE2C protein expression and cell cycle-associated biomarkers, p53, Ki67, EGFR and PI3K. High UBE2C protein expression was an independent predictor of poor outcome (p = 0.011, HR = 1.45, 95% CI; 1.10-1.93).
CONCLUSION CONCLUSIONS
This study indicates that UBE2C is an independent prognostic biomarker in BC. These results warrant further functional validation for UBE2C as a potential therapeutic target in BC.

Identifiants

pubmed: 35124721
doi: 10.1007/s10549-022-06531-5
pii: 10.1007/s10549-022-06531-5
pmc: PMC8960565
doi:

Substances chimiques

Biomarkers, Tumor 0
RNA, Messenger 0
UBE2C protein, human EC 2.3.2.23
Ubiquitin-Conjugating Enzymes EC 2.3.2.23

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

529-539

Informations de copyright

© 2022. The Author(s).

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Auteurs

Yousif Kariri (Y)

Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.
Department of Clinical Laboratory Science, Faculty of Applied Medical Science, Shaqra University, 33, Shaqra, 11961, Saudi Arabia.

Michael S Toss (MS)

Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.

Mansour Alsaleem (M)

Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.
Department of Applied Medical Science, Applied Collage in Unazyzah, Qassim University, Qassim, Saudi Arabia.

Khloud A Elsharawy (KA)

Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.
Department of Zoology, Faculty of Science, Damietta University, Damietta, 34517, Egypt.

Chitra Joseph (C)

Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.

Nigel P Mongan (NP)

Biodiscovery Institute, Faculty of Medicine and Health Sciences, School of Veterinary Medicine and Science, University of Nottingham, Nottingham, NG7 2RD, UK.
Department of Pharmacology, Weill Cornell Medicine, New York, NY, 10065, USA.

Andrew R Green (AR)

Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK.

Emad A Rakha (EA)

Academic Unit for Translational Medical Sciences, School of Medicine, University of Nottingham Biodiscovery Institute, University Park, Nottingham, NG7 2RD, UK. emad.rakha@nottingham.ac.uk.
Department of Histopathology, Nottingham University Hospital NHS Trust, City Hospital Campus, Hucknall Road, Nottingham, NG5 1PB, UK. emad.rakha@nottingham.ac.uk.

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