High-grade serous ovarian cancer refined with single-cell RNA-sequencing

Study ID Alternative Stable ID Type
EGAS00001004987 Other

Study Description

We performed single-cell RNA-sequencing of 18,403 cells unbiasedly collected from 7 treatment-naive HGSOC tumours. For each phenotypic cluster of tumour or stromal cells, we identified specific transcriptomic markers. Next, we explored which phenotypic clusters correlate with overall survival based on expression of these transcriptomic markers in 1467 bulk RNA-seq tumours. By evaluating molecular subtype signatures in single cells, we assessed to what extent a phenotypic cluster of tumour or stromal cells contributes to each molecular subtype.

Study Datasets 1 dataset.

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Dataset ID Description Technology Samples
Single cell sequencing of 12 ovarian cancer biopsies from 7 patients.
Illumina NovaSeq 6000 12

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