AR/ER Ratio Correlates with Expression of Proliferation Markers and with Distinct Subset of Breast Tumors.
Nelson RangelMilena Rondón-LagosLaura AnnaratoneAndres Felipe Aristizábal PachónPaola CassoniAnna SapinoIsabella CastellanoPublished in: Cells (2020)
The co-expression of androgen (AR) and estrogen (ER) receptors, in terms of higher AR/ER ratio, has been recently associated with poor outcome in ER-positive (ER+) breast cancer (BC) patients. The aim of this study was to analyze if the biological aggressiveness, underlined in ER+ BC tumors with higher AR/ER ratio, could be due to higher expression of genes related to cell proliferation. On a cohort of 47 ER+ BC patients, the AR/ER ratio was assessed by immunohistochemistry and by mRNA analysis. The expression level of five gene proliferation markers was defined through TaqMan®-qPCR assays. Results were validated using 979 BC cases obtained from gene expression public databases. ER+ BC tumors with ratios of AR/ER ≥ 2 have higher expression levels of cellular proliferation genes than tumors with ratios of AR/ER < 2, in both the 47 ER+ BC patients (P < 0.001) and in the validation cohort (P = 0.005). Moreover, BC cases with ratios of AR/ER ≥ 2 of the validation cohort were mainly assigned to luminal B and HER2-enriched molecular subtypes, typically characterized by higher proliferation and poorer prognosis. These data suggest that joint routine evaluation of AR and ER expression may identify a unique subset of tumors, which show higher levels of cellular proliferation and therefore a more aggressive behavior.
Keyphrases
- estrogen receptor
- endoplasmic reticulum
- breast cancer cells
- poor prognosis
- end stage renal disease
- gene expression
- cell proliferation
- signaling pathway
- healthcare
- newly diagnosed
- chronic kidney disease
- binding protein
- prognostic factors
- peritoneal dialysis
- genome wide
- machine learning
- patient reported outcomes
- high throughput
- young adults
- transcription factor
- big data
- mental health
- cell cycle
- single molecule
- drug induced
- adverse drug
- genome wide identification