Study
molecular profiles of serum-derived extracellular vesicles in high-grade serous ovarian cancer
Study ID | Alternative Stable ID | Type |
---|---|---|
EGAS00001006350 | Other |
Study Description
Patients with high-grade serous ovarian cancer (HGSC) who have no visible residual disease (R0) after primary surgery have the best clinical outcomes, followed by patients who undergo neoadjuvant chemotherapy (NACT) and have response enabling interval cytoreductive surgery. Clinically useful predictive biomarkers for such distinctions are still lacking. Extracellular vesicles (EVs) have been recognized as liquid biopsy-based biomarkers for early cancer detection and disease surveillance in other disease settings. In this study, we performed extensive molecular characterization of serum-derived EVs and correlated them with therapeutic outcomes in patients with HGSC.
Study Datasets 2 datasets.
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 |
---|---|---|---|
EGAD00001008972 |
Ovarian cancer EV RNA-seq
|
Illumina NovaSeq 6000 | 24 |
EGAD00001008973 |
WGS
|
Illumina NovaSeq 6000 | 24 |
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