Differential epigenetic reprogramming in response to specific endocrine therapies promotes cholesterol biosynthesis and cellular invasion.
Van T M NguyenIros BarozziMonica FaronatoYlenia LombardoJennifer H SteelNaina PatelPhilippa DarbreCastellano LBalázs GyőrffyLaura WoodleyAlba MeiraDarren K PattenValentina VircilloManikandan PeriyasamySimak AliGianmaria FrigeSaverio MinucciR Charles CoombesLuca MagnaniPublished in: Nature communications (2015)
Endocrine therapies target the activation of the oestrogen receptor alpha (ERα) via distinct mechanisms, but it is not clear whether breast cancer cells can adapt to treatment using drug-specific mechanisms. Here we demonstrate that resistance emerges via drug-specific epigenetic reprogramming. Resistant cells display a spectrum of phenotypical changes with invasive phenotypes evolving in lines resistant to the aromatase inhibitor (AI). Orthogonal genomics analysis of reprogrammed regulatory regions identifies individual drug-induced epigenetic states involving large topologically associating domains (TADs) and the activation of super-enhancers. AI-resistant cells activate endogenous cholesterol biosynthesis (CB) through stable epigenetic activation in vitro and in vivo. Mechanistically, CB sparks the constitutive activation of oestrogen receptors alpha (ERα) in AI-resistant cells, partly via the biosynthesis of 27-hydroxycholesterol. By targeting CB using statins, ERα binding is reduced and cell invasion is prevented. Epigenomic-led stratification can predict resistance to AI in a subset of ERα-positive patients.
Keyphrases
- breast cancer cells
- induced apoptosis
- drug induced
- dna methylation
- cell cycle arrest
- artificial intelligence
- gene expression
- liver injury
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- endoplasmic reticulum stress
- ejection fraction
- cardiovascular disease
- cell death
- adverse drug
- type diabetes
- single cell
- cell wall
- transcription factor
- low density lipoprotein
- electronic health record
- machine learning
- smoking cessation
- patient reported