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BACKGROUND: Metastatic spread is responsible for the majority of cancer-associated deaths. The tumour microenvironment, including hypoxia, is a major driver of metastasis. The aim of this study was to investigate the role of the E3 ligase WSB-1 in breast cancer biology in the context of the hypoxic tumour microenvironment, particularly regarding metastatic spread. METHODS: In this study, WSB-1 expression was evaluated in breast cancer cell lines and patient samples. In silico analyses were used to determine the impact of WSB-1 expression on distant metastasis-free survival (DMFS) in patients, and correlation between WSB1 expression and hypoxia gene expression signatures. The role of WSB-1 on metastasis promotion was evaluated in vitro and in vivo. RESULTS: High WSB1 expression was associated with decreased DMFS in ER-breast cancer and PR-breast cancer patients. Surprisingly, WSB1 expression was not positively correlated with known hypoxic gene expression signatures in patient samples. Our study is the first to show that WSB-1 knockdown led to decreased metastatic potential in breast cancer hormone receptor-negative models in vitro and in vivo. WSB-1 knockdown was associated with decreased metalloproteinase (MMP) activity, vascular endothelial growth factor (VEGF) secretion, and angiogenic potential. CONCLUSIONS: Our data suggests that WSB-1 may be an important regulator of aggressive metastatic disease in hormone receptor-negative breast cancer. WSB-1 could therefore represent a novel regulator and therapeutic target for secondary breast cancer in these patients.

Original publication

DOI

10.1038/s41416-018-0056-3

Type

Journal article

Journal

Br J Cancer

Publication Date

05/2018

Volume

118

Pages

1229 - 1237

Keywords

Animals, Breast Neoplasms, Cells, Cultured, Female, Gene Expression Regulation, Neoplastic, Human Umbilical Vein Endothelial Cells, Humans, Intracellular Signaling Peptides and Proteins, MCF-7 Cells, Mice, Mice, Nude, Neoplasm Metastasis, Proteins, Receptor, ErbB-2, Receptors, Estrogen, Survival Analysis