Abstract
Lawrenson et al. profile gene expression and active chromatin in ∼200 ovarian and fallopian epithelial isolates and implement machine learning to demonstrate that most high-grade serous ovarian cancers (HGSOCs) derive from fallopian tube epithelial cells, but a subset may originate from ovarian epithelia. SOX18 induces mesenchymal features to drive early neoplasia in fallopian tube precursors.
Original language | English (US) |
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Pages (from-to) | 3726-3735.e4 |
Journal | Cell Reports |
Volume | 29 |
Issue number | 11 |
DOIs | |
State | Published - Dec 10 2019 |
Keywords
- RNA-seq
- SOX18
- dual origins
- fallopian tube secretory epithelial cell
- high-grade serous ovarian cancer
- machine learning
- one-class logistic regression models
- ovarian surface epithelial cell
- single-cell RNA-seq
- super enhancers
- transcription factors
ASJC Scopus subject areas
- General Biochemistry, Genetics and Molecular Biology