Low HER2 expression in normal breast epithelium enables dedifferentiation and malignant transformation via chromatin opening.
Ateequllah HayatEdward Philip CarterHamish W KingAysegul OrsAaron Reid DoeSaul A TeijeiroSarah CharrotSusana GodinhoPedro CutillasHisham MohammedRichard Philip GroseGabriella FiczPublished in: Disease models & mechanisms (2023)
Overexpression of the HER2 protein in breast cancer patients is a predictor of poor prognosis and resistance to therapies. We used an inducible breast cancer transformation system that allows investigation of early molecular changes. HER2 overexpression to similar levels as those observed in a subtype of HER2-positive breast cancer patients induced transformation of MCF10A cells and resulted in gross morphological changes, increased anchorage-independent growth of cells, and altered the transcriptional programme of genes associated with oncogenic transformation. Global phosphoproteomic analysis during HER2 induction predominantly detected an increase in protein phosphorylation. Intriguingly, this correlated with chromatin opening, as measured by ATAC-seq on acini isolated from 3D cell culture. HER2 overexpression resulted in opening of many distal regulatory regions and promoted reprogramming-associated heterogeneity. We found that a subset of cells acquired a dedifferentiated breast stem-like phenotype, making them likely candidates for malignant transformation. Our data show that this population of cells, which counterintuitively enriches for relatively low HER2 protein abundance and increased chromatin accessibility, possesses transformational drive, resulting in increased anchorage-independent growth in vitro compared to cells not displaying a stem-like phenotype.
Keyphrases
- induced apoptosis
- poor prognosis
- transcription factor
- cell cycle arrest
- gene expression
- cell death
- cell proliferation
- genome wide
- clinical trial
- long non coding rna
- randomized controlled trial
- signaling pathway
- binding protein
- single cell
- minimally invasive
- young adults
- artificial intelligence
- single molecule
- high glucose
- breast cancer cells
- wastewater treatment
- breast cancer risk