MAGI1, a New Potential Tumor Suppressor Gene in Estrogen Receptor Positive Breast Cancer.
Begoña Alday-ParejoFrançois RichardJanine WörthmüllerTilman RauJosé A GalvánChristine DesmedtAlbert Santamaria-MartinezCurzio RüeggPublished in: Cancers (2020)
Membrane-associated guanylate kinase (MAGUK) with inverted domain structure-1 (MAGI1) is an intracellular adaptor protein that stabilizes epithelial junctions consistent with a tumor suppressive function in several cancers of epithelial origin. Here we report, based on experimental results and human breast cancer (BC) patients' gene expression data, that MAGI1 is highly expressed and acts as tumor suppressor in estrogen receptor (ER)+/HER2- but not in HER2+ or triple negative breast cancer (TNBC). Within the ER+/HER2- subset, high MAGI1 expression associates with ESR1 and luminal genes GATA3 and FOXA1 expression and better prognosis, while low MAGI1 levels correlates with higher histological grade, more aggressive phenotype and worse prognosis. Experimentally, MAGI1 downregulation in the ER+ human BC cells MCF7 impairs ER expression and signaling, promotes cell proliferation, and reduces apoptosis and epithelial differentiation. MAGI1 downregulation in the ER+ murine BC cell line 67NR accelerates primary tumor growth and enhances experimental lung metastasis formation. MAGI1 expression is upregulated by estrogen/ER, downregulated by prostaglandin E2/COX-2axis, and negatively correlates with inflammation in ER+/HER2- BC patients. Taken together, we show that MAGI1 is a new potential tumor suppressor in ER+/HER2- breast cancer with possible prognostic value for the identification of patients at high-risk of relapse within this subset.
Keyphrases
- estrogen receptor
- poor prognosis
- cell proliferation
- end stage renal disease
- gene expression
- ejection fraction
- chronic kidney disease
- oxidative stress
- breast cancer cells
- endothelial cells
- newly diagnosed
- positive breast cancer
- prognostic factors
- peritoneal dialysis
- cell cycle arrest
- endoplasmic reticulum
- dna methylation
- transcription factor
- genome wide
- patient reported outcomes
- machine learning
- induced apoptosis
- single molecule
- endoplasmic reticulum stress
- deep learning
- small molecule
- bioinformatics analysis