Genetic alterations of epithelial polarity genes are associated with loss of polarity in invasive breast cancer.
Rachel CatterallVirginie LelargeLuke McCaffreyPublished in: International journal of cancer (2019)
Breast cancer remains a leading cause of cancer-related death for women. The stepwise development of breast cancer through preinvasive to invasive disease is associated with progressive disruption of cellular and tissue organization. Apical-basal polarity is thought to be a barrier to breast cancer development, but the extent and potential mechanisms that contribute to disrupted polarity are incompletely understood. To investigate the cell polarity status of invasive breast cancers, we performed multiplex imaging of polarity markers on tissue cores from 432 patients from a spectrum of grades, stages and molecular subtypes. Apical-basal cell polarity was lost in 100% of cells in all cases studied, indicating that loss of epithelial polarity may be a universal feature of invasive breast cancer. We then analyzed genomic events from the TCGA dataset for an 18-gene set of core polarity genes. Coamplification of polarity genes with established breast oncogenes was found, which is consistent with functional cooperation within signaling amplicons. Gene-expression levels of several polarity genes were significantly associated with survival, and protein localization of Par6 correlated with higher grade, nodal metastasis and molecular subtype. Finally, multiple hotspot mutations in protein-protein interaction domains critical for cell polarity were identified. Our data indicate that genomic events likely contribute to pervasive disruption of epithelial polarity observed in invasive breast cancer.
Keyphrases
- polycystic ovary syndrome
- genome wide
- gene expression
- protein protein
- single cell
- small molecule
- dna methylation
- high resolution
- copy number
- machine learning
- multiple sclerosis
- cell therapy
- ejection fraction
- adipose tissue
- lymph node
- type diabetes
- newly diagnosed
- chronic kidney disease
- radiation therapy
- induced apoptosis
- young adults
- squamous cell carcinoma
- deep learning
- cell death
- photodynamic therapy
- single molecule
- bioinformatics analysis
- mass spectrometry
- skeletal muscle
- genome wide analysis
- climate change
- prognostic factors
- endoplasmic reticulum stress
- human health
- electronic health record