Ontology highlight
ABSTRACT:
PROVIDER: EGAO00000000245 | EGA |
REPOSITORIES: EGA
EBioMedicine 20160702
Current screening methods for ovarian cancer can only detect advanced disease. Earlier detection has proved difficult because the molecular precursors involved in the natural history of the disease are unknown. To identify early driver mutations in ovarian cancer cells, we used dense whole genome sequencing of micrometastases and microscopic residual disease collected at three time points over three years from a single patient during treatment for high-grade serous ovarian cancer (HGSOC). The fu ...[more]