Study
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.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
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EGAD00001006898 |
Single cell sequencing of 12 ovarian cancer biopsies from 7 patients.
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Illumina NovaSeq 6000 | 12 |
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